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Sample records for body mass index

  1. Body Mass Index and Stroke

    DEFF Research Database (Denmark)

    Andersen, Klaus Kaae; Olsen, Tom Skyhøj

    2013-01-01

    Although obesity is associated with excess mortality and morbidity, mortality is lower in obese than in normal weight stroke patients (the obesity paradox). Studies now indicate that obesity is not associated with increased risk of recurrent stroke in the years after first stroke. We studied...... the association between body mass index (BMI) and stroke patient's risk of having a history of previous stroke (recurrent stroke)....

  2. Body mass index in amputees.

    Science.gov (United States)

    Tzamaloukas, A H; Patron, A; Malhotra, D

    1994-01-01

    Whereas estimates of percent deviation of body weight from ideal (F delta weight) are corrected for amputation, those of body mass index (BMI) are not, creating discrepancies in evaluating obesity. A correction of the BMI formula for amputation is proposed. The formula for BMI was corrected for amputation mathematically. The mathematical model predicts that the uncorrected BMI formula underestimates body fat in unilateral amputees and overestimates body fat in subjects with bilateral amputations at the same length of the legs. F delta weight and corrected and uncorrected BMI estimates were computed in 15 subjects with unilateral leg amputation and in 8 subjects with multiple amputations. BMI estimates were as follows: in unilateral amputees, corrected 24.1 +/- 4.1 kg/m2, uncorrected 22.2 +/- 3.9 kg/m2 (p amputees, corrected 21.6 +/- 2.4 kg/m2, uncorrected 32.6 +/- 11.8 kg/m2 (p = .043). Linear regressions of F delta weight obtained from standard nutrition assessment on F delta weight computed from uncorrected and corrected BMI values were as follows: in unilateral amputees, uncorrected F delta weight = -0.079 + 0.932 x actual F delta weight, r = .974, p amputees, uncorrected F delta weight = 0.528 + 1.930 x actual F delta weight, r = .607, p is not significant, and corrected F delta weight = -0.010 + 0.920 x actual F delta weight, r = .936, p < .01.(ABSTRACT TRUNCATED AT 250 WORDS)

  3. Know Your Body Mass Index (BMI)

    Science.gov (United States)

    ... using three key measures: body mass index (BMI) waist circumference, and risk factors for diseases and conditions associated with obesity. Waist Circumference Determine your waist circumference by placing a measuring ...

  4. Paranormal belief, schizotypy, and Body Mass Index.

    Science.gov (United States)

    Hergovich, Andreas; Willinger, Ulrike; Arendasy, Martin

    2005-06-01

    There are indications that subjects with schizotypal personality have a lower Body Mass Index. Also schizotypal personality is linked to a higher incidence of paranormal belief. In this study we examined whether low Body Mass Index is also linked to paranormal belief. In a pilot study 48 students of psychology (85.4% women) between the ages of 20 and 27 years were administered a questionnaire assessing weight, height, and paranormal belief. Analysis suggested an association between belief in paranormal phenomena and low Body Mass Index. In a follow-up study with 300 subjects and equal sex distribution, the relationship was examined under control of schizotypy. The results for Body Mass Index could not be confirmed; however, paranormal belief was heavily associated with the cognitive-perceptual component of schizotypy.

  5. Body mass index in Serbian Roma.

    Science.gov (United States)

    Gallagher, Andrew; Cvorović, Jelena; Strkalj, Goran

    2009-01-01

    Stature and body mass were measured in 346 individuals belonging to three Roma groups from metropolitan Belgrade western Serbia. As with the majority of Serbian Roma, the participants in this study have been historically disadvantaged and their situation was further aggravated during the recent political crises. Surprisingly, the body mass index (BMI) of Serbian Roma is relatively high compared with western Europeans and is inconsistent with the view that Serbian Roma are predisposed to high rates of chronic energy deficiency ( approximately 4%). While the majority of individual Roma display BMI values within the normal range (WHO, 1995), certain groups have a moderate to high proportion of individuals ( approximately 35%) who could be classified as overweight and some who approach at-risk levels for clinical obesity.

  6. Body mass index and suicide methods.

    Science.gov (United States)

    Wingren, Carl Johan; Ottosson, Anders

    2016-08-01

    Overweight and obesity is associated with lower rates of suicide. However, little is known about the association with different suicide methods. We studied the association between groups of body mass index and suicide methods. We identified all medicolegal autopsy cases with a cause of death due to external causes in Sweden during 1999-2013 (N = 39,368) and included 11,715 suicides and 13,316 accidents or homicides as controls. We applied multinomial regression models adjusted for age, sex, year and season of death. Obesity was associated with suicidal intoxication, OR 1.15 [95% confidence interval (CI) 1.02, 1.30] and negatively associated with all other suicide methods studied. Underweight showed a negative association with suicidal drowning and there was an indication towards a negative association with hanging in men OR 0.81 (95% CI 0.65, 1.01). We conclude that body mass index (BMI) is associated with the choice of suicide method. This may be of importance in a public health perspective, e.g. potential for prevention of intoxications. In the practice of forensic medicine, the physician's level of suspicion may rise if the apparent suicidal method is less common for the individual characteristics of the deceased, such as BMI.

  7. Body Mass Index and spontaneous miscarriage.

    LENUS (Irish Health Repository)

    Turner, Michael J

    2012-02-01

    OBJECTIVE: We compared the incidence of spontaneous miscarriage in women categorised as obese, based on a Body Mass Index (BMI) >29.9 kg\\/m(2), with women in other BMI categories. STUDY DESIGN: In a prospective observational study conducted in a university teaching hospital, women were enrolled at their convenience in the first trimester after a sonogram confirmed an ongoing singleton pregnancy with fetal heart activity present. Maternal height and weight were measured digitally and BMI calculated. Maternal body composition was measured by advanced bioelectrical impedance analysis. RESULTS: In 1200 women, the overall miscarriage rate was 2.8% (n=33). The mean gestational age at enrolment was 9.9 weeks. In the obese category (n=217), the miscarriage rate was 2.3% compared with 3.3% in the overweight category (n=329), and 2.3% in the normal BMI group (n=621). There was no difference in the mean body composition parameters, particularly fat mass parameters, between those women who miscarried and those who did not. CONCLUSIONS: In women with sonographic evidence of fetal heart activity in the first trimester, the rate of spontaneous miscarriage is low and is not increased in women with BMI>29.9 kg\\/m(2) compared to women in the normal BMI category.

  8. Hypothalamic digoxin and regulation of body mass index.

    Directory of Open Access Journals (Sweden)

    Kumar A

    2002-10-01

    Full Text Available The hypothalamus produces digoxin, an endogenous membrane Na+-K+ ATPase inhibitor and regulator of neurotransmission. Digoxin being a steroidal glycoside, is synthesised by the isoprenoid pathway. In view of the reports of elevated digoxin levels in metabolic syndrome X with high body mass index, the isoprenoid pathway mediated biochemical cascade was assessed in individuals with high and low body mass index. It was also assessed in individuals with differing hemispheric dominance to find out the relationship between digoxin status, body mass index and hemispheric dominance. The isoprenoid pathway metabolites, tryptophan / tyrosine catabolic patterns and membrane composition were assessed. In individuals with high body mass index an upregulated isoprenoid pathway with increased HMG CoA reductase activity, serum digoxin and dolichol levels and low ubiquinone levels were observed. The RBC membrane Na+-K+ ATPase activity and serum magnesium levels were decreased. The tyrosine catabolites (dopamine, morphine, epinephrine and norepinephrine were reduced and the tryptophan catabolites (serotonin, quinolinic acid, strychnine and nicotine were increased. There was an increase in membrane cholesterol : phospholipid ratio and a reduction in membrane glycoconjugates in individuals with high body mass index. The reverse patterns were seen in individuals with low body mass index. The patterns in individuals with high body mass index and low body mass index correlated with right hemispheric dominance and left hemispheric dominance respectively. Hemispheric dominance and digoxin status regulates the differential metabolic pattern observed in individuals with high and low body mass index.

  9. Elevated body mass index and fatty liver

    Directory of Open Access Journals (Sweden)

    Marović Dragana

    2008-01-01

    Full Text Available Introduction Obesity and overweight, expressed by elevated Body Mass Index (BMI, result from excessive consumption of fatty food and carbohydrates above the body needs. The fat from the blood, through free fatty acids, is taken directly into the liver. Objective The aim of this study was to examine correlation among the accepted ultrasonography findings of the fatty liver and the normal ultrasonography findings and the elevated average level of BMI and those with normal BMI in examinees in one investigation. All was done aimed at proving that the BMI is one of the direct factors of the increased occurence of fatty liver. METHOD The method of the investigation consisted of anthropometric measuring of height and weight on the basis of which there were established BMI values. Consequently, the examinees were divided in two groups: one with normal BMI (under 24.9 kg/m2 and the other with increased BMI (over 25 kg/m2. Fatty liver was diagnosed when the liver of the examinees was observed by ultrasonography. Thus there were given subgroups of the examinees, one with the findings of fatty liver and the second with a normal finding, without changes. After that, the obtained results were statistically analysed. Results It was found that the average level of BMI in the examinees was by two units higher in the subgroup with ultrasonography findings of fatty liver than the average value of BMI in the subgroup with the normal ultrasonography findings of the liver. The difference was tested by the Student's t-test and a significant difference was found. The difference in frequencies of the appearance of the finding of fatty liver in the subgroups was tested by χ2-test. A statistically significant difference was found in frequencies of the appearance of fatty liver in the subgroup with the increased value of BMI. Conclusion The increased BMI, which is represented by overweight and obesity, is one of the direct risk factors which cause fatty liver, checked by

  10. Brief communication: Body mass index, body adiposity index, and percent body fat in Asians.

    Science.gov (United States)

    Zhao, Dapeng; Li, Yonglan; Zheng, Lianbin; Yu, Keli

    2013-10-01

    Human obesity is a growing epidemic throughout the world. Body mass index (BMI) is commonly used as a good indicator of obesity. Body adiposity index (BAI = hip circumference (cm)/stature (m)(1.5) - 18), as a new surrogate measure, has been proposed recently as an alternative to BMI. This study, for the first time, compares BMI and BAI for predicting percent body fat (PBF; estimated from skinfolds) in a sample of 302 Buryat adults (148 men and 154 women) living in China. The BMI and BAI were strongly correlated with PBF in both men and women. The correlation coefficient between BMI and PBF was higher than that between BAI and PBF for both sexes. For the linear regression analysis, BMI better predicted PBF in both men and women; the variation around the regression lines for each sex was greater for BAI comparisons. For the receiver operating characteristic (ROC) analysis, the area under the ROC curve for BMI was higher than that for BAI for each sex, which suggests that the discriminatory capacity of the BMI is higher than the one of BAI. Taken together, we conclude that BMI is a more reliable indicator of PBF derived from skinfold thickness in adult Buryats.

  11. Body Mass Index and Pregnancy Outcome after Assisted Reproduction Treatment

    OpenAIRE

    Khaled Kasim; Ahmed Roshdy

    2014-01-01

    The present study aimed to evaluate the impact of body mass index (BMI) on pregnancy outcome after intracytoplasmic sperm injection (ICSI). The study analyzed pregnancy outcome of 349 women who underwent ICSI by their BMI:

  12. Resistance to change of adulthood body mass index.

    Science.gov (United States)

    Heo, M; Faith, M S; Pietrobelli, A

    2002-10-01

    Numerous weight loss trials show that maintenance of weight loss is extremely difficult to sustain over time in adulthood. Using general population sample of adults whose weights were longitudinally tracked across several decades, we quantified resistance of weight to change by means of body mass index autocorrelation across a series of paired time points. Equations for age-adjusted sex-specific body mass index autocorrelation were developed. We found that body weight is quite resistant to change over years and decades. This finding partially de-mystifies the weight regain observed following intervention that last weeks or months.

  13. Body mass index and musculoskeletal pain: is there a connection?

    OpenAIRE

    Seaman, David R.

    2013-01-01

    Background Back pain is one of the most common complaints that patients report to physicians and two-thirds of the population has an elevated body mass index (BMI), indicating they are either overweight or obese. It was once assumed that extra body weight would stress the low back and lead to pain, however, researchers have reported inconsistencies association between body weight and back pain. In contrast, more recent studies do indicate that an elevated BMI is associated with back pain and ...

  14. Childhood social circumstances and body mass index in adult life

    DEFF Research Database (Denmark)

    Larsen, Anne-Mette; Lund, Rikke; Kriegbaum, Margit

    2011-01-01

    To examine whether father's social class was associated with body mass index (BMI) at age 20 and 50 years in a cohort of men born in 1953 and to explore the role of birth weight, cognitive function (IQ), and educational status in these relationships.......To examine whether father's social class was associated with body mass index (BMI) at age 20 and 50 years in a cohort of men born in 1953 and to explore the role of birth weight, cognitive function (IQ), and educational status in these relationships....

  15. Exploring Categorical Body Mass Index Trajectories in Elementary School Children

    Science.gov (United States)

    Moreno-Black, Geraldine; Boles, Shawn; Johnson-Shelton, Deb; Evers, Cody

    2016-01-01

    Background: Studies of body mass index (BMI) change have focused on understanding growth trajectories from childhood to adolescence and adolescence to adulthood, but few have explored BMI trajectories solely in elementary (grades K-5) school children. This report complements these studies by exploring changes in obesity status using analytic…

  16. Body Mass Index Of Nigerian Adolescent Urban Secondary School Girls

    Directory of Open Access Journals (Sweden)

    Onyiriuka Alphonsus N.

    2015-06-01

    Full Text Available Background and Aims: Body mass index (BMI is an inexpensive and easy-to-perform method of screening for weight status, which may have detrimental health consequences. The aim of our study was to assess the pattern of BMI among Nigerian adolescent secondary school girls and determine the prevalence of underweight, overweight and obesity among them.

  17. Body mass index trajectory classes and incident asthma in childhood

    DEFF Research Database (Denmark)

    Rzehak, Peter; Wijga, Alet H; Keil, Thomas;

    2013-01-01

    The causal link between body mass index (BMI) or obesity and asthma in children is still being debated. Analyses of large longitudinal studies with a sufficient number of incident cases and in which the time-dependent processes of both excess weight and asthma development can be validly analyzed ...

  18. Body mass index in Parkinson's disease: a meta-analysis.

    NARCIS (Netherlands)

    Marck, M.A. van der; Dicke, H.C.; Uc, E.Y.; Kentin, Z.H.; Borm, G.F.; Bloem, B.R.; Overeem, S.; Munneke, M.

    2012-01-01

    Prior work suggested that patients with Parkinson's disease (PD) have a lower Body Mass Index (BMI) than controls, but evidence is inconclusive. We therefore conducted a meta-analysis on BMI in PD. We searched MEDLINE, EMBASE, Cinahl and Scopus to identify cohort studies on BMI in PD, published befo

  19. Premorbid body mass index and risk of amyotrophic lateral sclerosis

    NARCIS (Netherlands)

    O'Reilly, Eilis J.; Wang, Hao; Weisskopf, Marc G.; Fitzgerald, Kathryn C.; Falcone, Guido; McCullough, Marjorie L.; Thun, Michael; Park, Yikyung; Kolonel, Laurence N.; Ascherio, Alberto

    2013-01-01

    Our objective was to determine if amyotrophic lateral sclerosis (ALS) risk varies according to body mass index (BMI) captured up to three decades earlier. At baseline 537,968 females and 562,942 males in five ongoing cohorts reported height, current weight and weight at age 18/21 years. During 14-28

  20. Associations between parental impulsivity and child body mass index

    NARCIS (Netherlands)

    Sleddens, Ester F C; Ten Hoor, Gill A; Kok, Gerjo; Kremers, Stef P J

    2016-01-01

    OBJECTIVE: The aim of this study was to examine the association between parental impulsivity and (12-15 year old) child body mass index (BMI). METHODS: In total, 300 parents completed a survey regarding their own impulsivity level (Barratt impulsiveness scale) and that of their child (impulsivity sc

  1. Modeling of Body Mass Index by Newton's Second Law

    CERN Document Server

    Canessa, E

    2008-01-01

    Since laws of physics exist in nature, their possible relationship to terrestial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural laws may influence the vertical growth of humans. This approach makes sense because the non-linear percentile curves of different aspects of human physical growth from childhood to adolescence can be described in relation to physics laws independently of gender and nationality. Analytical relations for the dependence of stature, measured mass (weight), growth velocity (and their mix as the body mass index) on age are deduced with a set of common statistical parameters which could relate environmental, genetics and metabolism and different aspects of physical growth on earth. A relationship to the monotone smoothing using functional data analysis to estimate growth curves and its derivatives is established. A preliminary discussion is also presented on horizontal growth in an...

  2. Body mass index and blood pressure measurement during pregnancy.

    LENUS (Irish Health Repository)

    Hogan, Jennifer L

    2012-02-01

    OBJECTIVE: The accurate measurement of blood pressure requires the use of a large cuff in subjects with a high mid-arm circumference (MAC). This prospective study examined the need for a large cuff during pregnancy and its correlation with maternal obesity. METHODS: Maternal body mass index (BMI), fat mass, and MAC were measured. RESULTS: Of 179 women studied, 15.6% were obese. With a BMI of level 1 obesity, 44% needed a large cuff and with a BMI of level 2 obesity 100% needed a large cuff. CONCLUSION: All women booking for antenatal care should have their MAC measured to avoid the overdiagnosis of pregnancy hypertension.

  3. The Relationships among Body Image, Body Mass Index, Exercise, and Sexual Functioning in Heterosexual Women

    Science.gov (United States)

    Weaver, Angela D.; Byers, E. Sandra

    2006-01-01

    Problems related to negative body image are very common among young women. In this study, we examined the relationship between women's body image and their sexual functioning over and above the effects of physical exercise and body mass index (BMI) in a sample of 214 university women. Low situational body image dysphoria and low body…

  4. Body mass index is reduced early in Parkinson's disease.

    Science.gov (United States)

    Cheshire, William P; Wszolek, Zbigniew K

    2005-01-01

    Mean body mass index (BMI) in 100 cases of idiopathic Parkinson's disease (PD) was found to be 9% reduced in comparison to that in patients with either essential tremor or no neurologic disease. A similar reduction in BMI was also discovered among the 24 cases of PD in whom retrospective BMI data were available from their presymptomatic years. These results suggest that alterations in nutrient intake or metabolism could reflect early changes in the central autonomic network preceding the emergence of classical extrapyramidal manifestations of PD.

  5. Histologically Measured Cardiomyocyte Hypertrophy Correlates with Body Height as Strongly as with Body Mass Index

    Directory of Open Access Journals (Sweden)

    Richard E. Tracy

    2011-01-01

    Full Text Available Cardiac myocytes are presumed to enlarge with left ventricular hypertrophy (LVH. This study correlates histologically measured myocytes with lean and fat body mass. Cases of LVH without coronary heart disease and normal controls came from forensic autopsies. The cross-sectional widths of myocytes in H&E-stained paraffin sections followed log normal distributions almost to perfection in all 104 specimens, with constant coefficient of variation across the full range of ventricular weight, as expected if myocytes of all sizes contribute proportionately to hypertrophy. Myocyte sizes increased with height. By regression analysis, height2.7 as a proxy for lean body mass and body mass index (BMI as a proxy for fat body mass, exerted equal effects in the multiple correlation with myocyte volume, and the equation rejected race and sex. In summary, myocyte sizes, as indexes of LVH, suggest that lean and fat body mass may contribute equally.

  6. Store Impulse Marketing Strategies and Body Mass Index

    Science.gov (United States)

    Collins, Rebecca; Hunter, Gerald; Ghosh-Dastidar, Bonnie; Dubowitz, Tamara

    2015-01-01

    Objectives. We quantified the use of placement and price reduction marketing strategies in different food retail outlets to identify associations between these strategies and the risk of overweight and obesity among customers. Methods. In 2011 we collected dietary and health information from 1372 residents in “food deserts” in Pittsburgh, PA. We audited neighborhood restaurants and food stores (n = 40) including 16 distant food venues at which residents reported shopping. We assessed end-aisle displays, special floor displays, cash register displays, and price reductions for sugar-sweetened beverages (SSBs); foods high in saturated oils, fats, and added sugars; and nutritious foods such as fruits, vegetables, and products with at least 51% whole grains. Results. Supermarkets and superstores had the largest numbers of displays and price reductions for low-nutrient foods. Exposure to displays of SSBs and foods high in saturated oils, fats, and added sugars and price reduction of SSBs was associated with increased body mass index. Conclusions. In-store marketing strategies of low-nutrient foods appear to be risk factors for a higher body mass index among regular shoppers. Future research is needed to confirm the causal role of marketing strategies in obesity. PMID:25521881

  7. Genetically Predicted Body Mass Index and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou

    2016-01-01

    BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or enviro......BACKGROUND: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic...... or environmental factors. METHODS: We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated...... genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases  =  46,325, controls  =  42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from...

  8. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    DEFF Research Database (Denmark)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire;

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We...

  9. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N. Timpson (Nicholas); S.F. Grant; V.W.V. Jaddoe (Vincent W. V.); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

    2016-01-01

    textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation sc

  10. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire; van der Valk, Ralf J P; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Møller, Eskil; Mahajan, Anubha; Pitkänen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M; Cousminer, Diana L; Marsh, Julie A; Lehtimäki, Terho; Curtin, John A; Vioque, Jesus; Ahluwalia, Tarunveer S; Myhre, Ronny; Price, Thomas S; Vilor-Tejedor, Natalia; Yengo, Loïc; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M A; Hirschhorn, Joel N; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N; Kähönen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A; Lewin, Alexandra M; Liang, Liming; Lyytikäinen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E; McMahon, George; Mentch, Frank D; Middeldorp, Christel M; Murray, Clare S; Pahkala, Katja; Pers, Tune H; Pfäffle, Roland; Postma, Dirkje S; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M T; Torrent, Maties; Uitterlinden, André G; van Meurs, Joyce B; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S; Dedoussis, George V; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R; Custovic, Adnan; Raitakari, Olli T; Pennell, Craig E; Widén, Elisabeth; Boomsma, Dorret I; Koppelman, Gerard H; Sebert, Sylvain; Järvelin, Marjo-Riitta; Hyppönen, Elina; McCarthy, Mark I; Lindi, Virpi; Harri, Niinikoski; Körner, Antje; Bønnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M; Smith, George Davey; Sørensen, Thorkild I A; Timpson, Nicholas J; Grant, Struan F A; Jaddoe, Vincent W V

    2015-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We in

  11. Relation between exercise, depression and body mass index

    Directory of Open Access Journals (Sweden)

    J. Vasconcelos-Raposo

    2009-01-01

    Full Text Available The purpose of this study is to determine the relationship between physical exercise, depression, and body mass index (BMI. The sample of the study consisted of 175 participants (43 male and 132 female with ages between the 18 and 27 years. The used instruments were: an adapted and validated Portuguese version of the Beck Depressive Inventory (BDI and an adaptation of the physical exercise scale developed by Prochaska, Sallis and Long (2001. The results suggested a negative correlation between the physical exercise and depression, with statistical significance. The group that does not reach the recommended level of physical exercise presents higher scores of depression in comparison with the group that reaches. This study corroborates previous studies that suggested positive effects of physical exercise on depression.

  12. Health Behaviour and Body Mass Index Among Problem Gamblers

    DEFF Research Database (Denmark)

    Holst Algren, Maria; Ekholm, Ola; Davidsen, Michael

    2015-01-01

    behaviour and obesity. The odds of smoking was significantly higher among problem gamblers than among non-problem gamblers. Further, the odds of high-risk alcohol drinking and illicit drug use were significantly higher among problem gamblers. The prevalence of sedentary leisure activity, unhealthy diet...... pattern and obesity was higher among problem gamblers than among non-problem gamblers. The associations found in this study remained significant after adjustment for sex, age, educational and cohabiting status as well as other risk factors. Our findings highlight the presence of a potential, public health......Problem gambling is a serious public health issue. The objective of this study was to investigate whether past year problem gamblers differed from non-problem gamblers with regard to health behaviour and body mass index (BMI) among Danes aged 16 years or older. Data were derived from the Danish...

  13. Increases in body mass index following initiation of methadone treatment.

    Science.gov (United States)

    Fenn, Jennifer M; Laurent, Jennifer S; Sigmon, Stacey C

    2015-04-01

    Despite the clear efficacy of methadone for opioid dependence, one less desirable phenomenon associated with methadone may be weight gain. We examined changes in body mass index (BMI) among patients entering methadone treatment. A retrospective chart review was conducted for 96 patients enrolled in an outpatient methadone clinic for ≥ 6 months. The primary outcome of BMI was assessed at intake and a subsequent physical examination approximately 1.8 ± 0.95 years later. Demographic, drug use and treatment characteristics were also examined. There was a significant increase in BMI following intake (pmethadone treatment enrollment was associated with clinically significant weight gain, particularly among female patients. This study highlights the importance of efforts to help patients mitigate weight gain during treatment, particularly considering the significant health and economic consequences of obesity for individuals and society more generally.

  14. Relation between exercise, depression and body mass index

    Directory of Open Access Journals (Sweden)

    José Vasconcelos-Raposo

    2009-03-01

    Full Text Available The purpose of this study is to determine the relationship between physical exercise, depression, and body mass index (BMI. The sample of the study consisted of 175 participants (43 male and 132 female with ages between the 18 and 27 years. The used instruments were: an adapted and validated Portuguese version of the Beck Depressive Inventory (BDI and an adaptation of the physical exercise scale developed by Prochaska, Sallis and Long (2001. The results suggested a negative correlation between the physical exercise and depression, with statistical significance. The group that does not reach the recommended level of physical exercise presents higher scores of depression in comparison with the group that reaches. This study corroborates previous studies that suggested positive effects of physical exercise on depression.

  15. Association between Enuresis and Body Mass Index in Schoolchildren

    Directory of Open Access Journals (Sweden)

    Tahereh Boryri

    2016-12-01

    Full Text Available BackgroundAutomatic release of urine at any time of a day during sleep beyond the age of five years defined enuresis as a health disorders in children. The etiology of enuresis is still not clearly understood. Body Mass Index (BMI is an indicator to evaluate the growth trend of individuals in a population for any specific age group. Evaluation of obesity in children is important and provides an opportunity to identify the problem and prevent disease progression. The purpose of this study was to determine the prevalence of enuresis and the association with BMI.Materials and MethodsThe study was a cross-sectional survey based on specific age group population to determine the prevalence of enuresis conducted on the schoolchildren in Zahedan, Iran during December 2015 and February 2016. A random, multistage sample of 2,000 students was taken from fifty schools in five districts of Zahedan city and filled out some easy questions such as age and gender along with measuring weight and height. Body Mass Index categorized after calculation accordance with the formulae of BMI= Height (kg / Weight (m 2. The classification of BMI was accordance with  percentiles  of  underweight in less than the 5th percentile, healthy level from the 5th to less than 85th percentile, overweight from the 85th to less than the 97th percentile and obese equal to or greater than the 97th percentile.ResultsThe prevalence of enuresis was 17.18% for boys and 11.82% for girls, and the overall prevalence was 140 in 1000. Enuresis and non- enuresis population were different in mean of BMI (15.51±3.92 versus 17.69±5.11, so that this differential were statistically significant (P

  16. Relation of Body's Lean Mass, Fat Mass, and Body Mass Index With Submaximal Systolic Blood Pressure in Young Adult Men.

    Science.gov (United States)

    Prasad, Vivek K; Drenowatz, Clemens; Hand, Gregory A; Lavie, Carl J; Sui, Xuemei; Demello, Madison; Blair, Steven N

    2016-02-01

    We examined the association of body composition and body mass index (BMI) with submaximal systolic blood pressure (SSBP) among young adult men. The analysis included 211 men with BMI between 20 and 35 kg/m(2). Total lean mass and fat mass were measured using dual x-ray absorptiometry and lean mass percentage was calculated from the total lean mass. Fat mass index (FMI) and BMI were calculated using height and weight (total fat mass and total weight, respectively) measurements. SSBP was measured at each stage of a graded exercise test. Quintiles of lean mass percentage, FMI, and BMI were created with quintile 1 the lowest and quintile 5 the highest lean mass percentage, FMI, and BMI. Compared with men in lean mass percentage quintile 1, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5 at 6, 8, and 10 minutes. Compared with men in FMI quintile 5, those in quintiles 2, 3, and 4 had significantly lower SSBP, whereas there was no significant difference in SSBP between quintile 1 and 5. SSBP among men in lean mass percentage quintile 5 and FMI quintile 1 were still less than lean mass percentage quintile 1 and FMI quintile 5, respectively. There were no significant differences in SSBP across BMI quintiles 1 to 4 but a significantly higher SSBP in quintile 5 compared with quintiles 1 to 4. In conclusion, there was a J-curve pattern between SSBP and components of body composition, whereas, a linear relation between SSBP and BMI.

  17. The Tromsø Study: body height, body mass index and fractures.

    Science.gov (United States)

    Joakimsen, R M; Fønnebø, V; Magnus, J H; Tollan, A; Søgaard, A J

    1998-01-01

    Tall persons suffer more hip fractures than shorter persons, and high body mass index is associated with fewer hip and forearm fractures. We have studied the association between body height, body mass index and all non-vertebral fractures in a large, prospective, population-based study. The middle-aged population of Tromsø, Norway, was invited to surveys in 1979/80, 1986/87 and 1994/95 (The Tromsø Study). Of 16,676 invited to the first two surveys, 12,270 attended both times (74%). Height and weight were measured without shoes at the surveys, and all non-vertebral fractures in the period 1988-1995 were registered (922 persons with fractures) and verified by radiography. The risk of a low-energy fracture was found to be positively associated with increasing body height and with decreasing body mass index. Furthermore, men who had gained weight had a lower risk of hip fractures, and women who had gained weight had a lower risk of fractures in the lower extremities. High body height is thus a risk factor for fractures, and 1 in 4 low-energy fractures among women today might be ascribed to the increase in average stature since the turn of the century. Low body mass index is associated with a higher risk of fractures, but the association is probably too weak to have any clinical relevance in this age category.

  18. The effect of body mass index on perioperative thermoregulation

    Directory of Open Access Journals (Sweden)

    Özer AB

    2016-11-01

    Full Text Available Ayşe Belin Özer,1 Aysun Yildiz Altun,1 Ömer Lütfi Erhan,1 Tuba Çatak,2 Ümit Karatepe,1 İsmail Demirel,1 Gonca Çağlar Toprak3 1Department of Anesthesiology and Intensive Care, Firat University Medical School, Elaziğ, 2Department of Anesthesiology and Intensive Care Clinic, Bingol State Hospital, Bingöl, 3Department of Anesthesiology and Intensive Care Clinic, Elazig Training and Research Hospital, Elaziğ, Turkey Purpose: We evaluated the effects of body mass index (BMI on thermoregulation in obese patients scheduled to undergo laparoscopic abdominal surgery. Methods: Sixty patients scheduled to undergo laparoscopic abdominal surgery with no premedication were included in the study. The patients were classified into 4 groups according to BMI <24.9, 25–39.9, 40–49.9, and >50. Anesthesia was provided with routine techniques. Tympanic and peripheral temperatures were recorded every 5 minutes starting with the induction of anesthesia. The mean skin temperature (MST, mean body temperature (MBT, vasoconstriction time, and vasoconstriction threshold that triggers core warming were calculated with the following formulas: MST = 0.3 (Tchest + Tarm + 0.2 (Tthigh + Tcalf. MBT was calculated using the equation 0.64Tcore+0.36Tskin, and vasoconstriction was determined by calculating Tforearm-Tfinger. Results: There was no significant difference between the groups in terms of age, gender, duration of operation, and room temperature. Compared to those with BMI <24.9, the tympanic temperature was significantly higher in those with BMI =25–39.9 in the 10th, 15th, 20th, and 50th minutes. In addition, BMI =40–49.9 in the 5th, 10th, 15th, 20th, 25th, 30th, 40th, 45th, 50th, and 55th minutes and BMI >50 in the 5th, 10th, 15th, 20th, 25th, 30th, 50th, and 55th minutes were less than those with BMI <24.9 (P<0.05. There was no significant difference in terms of MST and MBT. Vasoconstriction occurred later, and that vasoconstriction threshold was

  19. Waist circumference adjusted for body mass index and intra-abdominal fat mass

    DEFF Research Database (Denmark)

    Berentzen, Tina Landsvig; Angquist, Lars; Kotronen, Anna

    2012-01-01

    The association between waist circumference (WC) and mortality is particularly strong and direct when adjusted for body mass index (BMI). One conceivable explanation for this association is that WC adjusted for BMI is a better predictor of the presumably most harmful intra-abdominal fat mass (IAFM...

  20. Female's Characteristic Index of Upper Body for Apparel Mass Customization

    Institute of Scientific and Technical Information of China (English)

    CUI Zhi-ying; CONG Shan; ZHANG Wei-yuan

    2006-01-01

    The measurements of female aged from 18 to 50 in the East China are taken by TC2 3D-body scanner. The first five factors are obtained by factor analysis of SPSS from 25items of the upper body which influence the body shape,that is, circumference factor, height factor, side shape factor, frontal shape factor, and shoulder slope factor.Then characteristic indices of upper body are chosen by analyzing body scan data. This study will be useful for developing pattern more fitting and faster and helpful for realizing apparel mass customization.

  1. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

    NARCIS (Netherlands)

    C.J. Willer (Cristen); E.K. Speliotes (Elizabeth); R.J.F. Loos (Ruth); S. Li (Shengxu); C.M. Lindgren (Cecilia); I.M. Heid (Iris); S.I. Berndt (Sonja); A.L. Elliott (Amanda); A.U. Jackson (Anne); C. Lamina (Claudia); G. Lettre (Guillaume); N. Lim (Noha); H.N. Lyon (Helen); S.A. McCarroll (Steven); K. Papadakis (Konstantinos); L. Qi (Lu); J.C. Randall (Joshua); R.M. Roccasecca; S. Sanna (Serena); P. Scheet (Paul); M.N. Weedon (Michael); E. Wheeler (Eleanor); J.H. Zhao; L.C. Jacobs (Leonie); I. Prokopenko (Inga); N. Soranzo (Nicole); T. Tanaka (Toshiko); N. Timpson (Nicholas); P. Almgren (Peter); A.J. Bennett (Amanda); R.N. Bergman (Richard); S. Bingham (Sheila); L.L. Bonnycastle (Lori); M.J. Brown (Morris); N.P. Burtt (Noël); P.S. Chines (Peter); L. Coin (Lachlan); F.S. Collins (Francis); J. Connell (John); C. Cooper (Charles); G.D. Smith; E.M. Dennison (Elaine); P. Deodhar (Parimal); M.R. Erdos (Michael); K. Estrada Gil (Karol); D.M. Evans (David); L. Gianniny (Lauren); C. Gieger (Christian); C.J. Gillson (Christopher); C. Guiducci (Candace); R. Hackett (Rachel); D. Hadley (David); A.S. Hall (Alistair); A.S. Havulinna (Aki); J. Hebebrand (Johannes); A. Hofman (Albert); B. Isomaa (Bo); T. Johnson (Toby); P. Jousilahti (Pekka); Z. Jovanovic (Zorica); K-T. Khaw (Kay-Tee); P. Kraft (Peter); M. Kuokkanen (Mikko); J. Kuusisto (Johanna); J. Laitinen (Jaana); E. Lakatta (Edward); J. Luan; R.N. Luben (Robert); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); A. Mulas (Antonella); P. Munroe (Patricia); N. Narisu (Narisu); A.R. Ness (Andrew); K. Northstone (Kate); S. O'Rahilly (Stephen); C. Purmann (Carolin); M.G. Rees (Matthew); M. Ridderstråle (Martin); S.M. Ring (Susan); F. Rivadeneira Ramirez (Fernando); A. Ruokonen (Aimo); M.S. Sandhu (Manjinder); J. Saramies (Jouko); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); M.A. Sims (Matthew); K. Song (Kijoung); J. Stephens (Jonathan); S. Stevens (Suzanne); H.M. Stringham (Heather); Y.C.L. Tung (Loraine); T.T. Valle (Timo); P. Tikka-Kleemola (Päivi); K.S. Vimaleswaran (Karani); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); R.M. Watanabe (Richard); D. Waterworth (Dawn); N. Watkins (Nicholas); J.C.M. Witteman (Jacqueline); E. Zeggini (Eleftheria); G. Zhai (Guangju); M.C. Zillikens (Carola); D. Altshuler (David); M. Caulfield (Mark); S.J. Chanock (Stephen); I.S. Farooqi (Sadaf); L. Ferrucci (Luigi); J.M. Guralnik (Jack); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); M. Laakso (Markku); V. Mooser (Vincent); K.K. Ong (Ken); W.H. Ouwehand (Willem); V. Salomaa (Veikko); N.J. Samani (Nilesh); T.D. Spector (Timothy); T. Tuomi (Tiinamaija); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); P. Deloukas (Panagiotis); N.J. Wareham (Nick); T.M. Frayling (Timothy); L. Groop (Leif); R.B. Hayes (Richard); D. Hunter (David); K.L. Mohlke (Karen); L. Peltonen (Leena Johanna); D. Schlessinger (David); D.P. Strachan (David); H.E. Wichmann (Erich); M.I. McCarthy (Mark); M. Boehnke (Michael); I. Barroso (Inês); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel)

    2009-01-01

    textabstractCommon variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts

  2. Body mass index and age of menarche in young girls

    Directory of Open Access Journals (Sweden)

    Dina Olivia

    2012-11-01

    Full Text Available Background Currently the age at onset of menarche is earlier than in the past. Nutritional status has an important role in the onset of menarche. Past studies have shown an association between body mass index (BMI in young girls and earlier onset of menarche. Objective To assess an association between BMI and age at onset of menarche. Methods This cross-sectional study was conducted in young girls aged 10 to 15 years from Immanuel Elementary and Junior High School, Medan in June 2010. We used purposive sampling to recruit subjects. After subjects underwent height and weight measurements, we calculated their BMI. The association between BMI and initial age of menarche was assessed by Chi square test (P 95th percentile of BMI (obese. All obese subjects had an earlier onset of menarche at ages 10-11 years, compared to that of non-obese subjects (P=0.0001. Conclusion Young girls with BMI > 95th percentile had an earlier age at onset of menarche than young girls with lower BMI.

  3. The association between body mass index and academic performance

    Science.gov (United States)

    Alswat, Khaled A.; Al-shehri, Abdullah D.; Aljuaid, Tariq A.; Alzaidi, Bassam A.; Alasmari, Hassan D.

    2017-01-01

    Objectives: To examine the relation between body mass index (BMI) and the academic performance of students from Taif city, Kingdom of Saudi Arabia (KSA) using the grade point average (GPA). Method: A cross-sectional study that includes students from intermediate and high schools located in Taif city, KSA between April 2014 and June 2015. Height and weight were measured and BMI calculated. Related risk factors including dietary habits, activity, parent’s education, sleeping pattern, and smoking were recorded. Result: A total of 14 schools included 424 students. 24.5% were either overweight or obese. The mean age was 15.44 year, 74.8% of the students were male, 53.8% were high school students, and 83.7% attended public schools. The mean overall GPA was 82.44% and the mean GPA for science subjects was 70.91%. No statically significant difference in the BMI was found between those who achieved >90% of the overall grade compared with those who achieved 90% overall grade are more likely to attend private school (pthe BMI and school performance, except in physics results where obese students perform worse than normal-weight students. PMID:28133692

  4. Body Mass Index and Pregnancy Outcome after Assisted Reproduction Treatment

    Directory of Open Access Journals (Sweden)

    Khaled Kasim

    2014-01-01

    Full Text Available The present study aimed to evaluate the impact of body mass index (BMI on pregnancy outcome after intracytoplasmic sperm injection (ICSI. The study analyzed pregnancy outcome of 349 women who underwent ICSI by their BMI: <25, 25–<30, and ≥30 kg/m2. The associations were generated by applying logistic regression models. A significant reduction in positive pregnancy outcome was observed among overweight and obese women (odds ratio (OR = 0.50; 95% confidence interval (CI = 0.25–0.99 for overweight women and OR = 0.45; 95% CI = 0.20–0.89 for obese women. These estimates show that the pregnancy rates are reduced with increasing BMI. The effect of obesity on pregnancy outcome was absent when three and more embryos were transferred. Our study contributes to the reports linking overweight and obesity with decreased positive pregnancy outcome after ICSI and suggests women’s age, infertility type, and number of embryos transferred to modify this reducing effect.

  5. Body mass index in Parkinson's disease: a meta-analysis.

    Science.gov (United States)

    van der Marck, Marjolein A; Dicke, Heleen C; Uc, Ergun Y; Kentin, Zippora H A; Borm, George F; Bloem, Bastiaan R; Overeem, Sebastiaan; Munneke, Marten

    2012-03-01

    Prior work suggested that patients with Parkinson's disease (PD) have a lower Body Mass Index (BMI) than controls, but evidence is inconclusive. We therefore conducted a meta-analysis on BMI in PD. We searched MEDLINE, EMBASE, Cinahl and Scopus to identify cohort studies on BMI in PD, published before February 2011. Studies that reported mean BMI for PD patients and healthy controls were eligible. Twelve studies were included, with a total of 871 patients and 736 controls (in three studies controls consisted of subjects from other published studies). Our primary aim was to assess differences in BMI between patients and controls; this was analyzed with random effects meta-analysis. Our secondary aim was to evaluate the relation with disease severity (Hoehn and Yahr stage) and disease duration, using random effects meta-regression. PD patients had a significantly lower BMI than controls (overall effect 1.73, 95% CI 1.11-2.35, Pnutritional status should be part of PD management.

  6. Determinants of body mass index in children and adolescents

    Directory of Open Access Journals (Sweden)

    Bukara-Radujković Gordana

    2008-01-01

    Full Text Available INTRODUCTION Body Mass Index (BMI in boys and girls is predicted by parental BMI, age and occupation. OBJECTIVE Correlation of BMI among children and adolescents in Banjaluka region (Bosnia and Herzegovina and parental age, BMI, parents’ educational level and occupation, as well as the number of family members were investigated as the possible determinants of overweight and obesity in childhood. METHOD The study included 1204 children and adolescents (578 males, 626 females, 6-17 years old from primary and secondary schools in the Banjaluka region. BMI was calculated from height and weight using the standard formula. Each subject along with his parents answered the questionnaire that contained information about parents’ height and weight, educational level and occupation, as well as the number of family members. RESULTS In all studied children, the prevalence of overweight was 12.2% and of obesity 6.1%. Strong positive correlation was found between parental BMI and age (older than 40 years in males and females (p<0.001, while parental higher BMI and higher educational level had positive correlation only in males (p<0.001. The number of family members showed negative correlation with overweight/obesity only in females. CONCLUSION The prevalence of overweight and obesity in children’s population in the Banjaluka region is 12.2% and 6.1%, respectively. There is a positive correlation of overweight and obesity in children with parental overweight and obesity, as well as older age, and parental higher educational level.

  7. Body Mass Index and Retinopathy in Type 1 Diabetic Patients

    Directory of Open Access Journals (Sweden)

    Snježana Kaštelan

    2014-01-01

    Full Text Available Aim. To investigate whether body mass index (BMI independently or in correlation with other risk factors is associated with diabetic retinopathy (DR progression. Methods. The study included 176 patients with type 1 diabetes divided into three groups according to DR status: group 1 (no retinopathy; n=86, group 2 (mild/moderate nonproliferative DR; n=33, and group 3 (severe/very severe NPDR or proliferative DR; n=57. Results. A significant deterioration of HbA1c, an increase in total cholesterol, systolic, diastolic blood pressure, and diabetic nephropathy with the progression of retinopathy were found. DR progression was correlated with diabetes duration, HbA1c, hypertension, total cholesterol, and the presence of nephropathy. In patients without nephropathy, statistical analyses showed that progression of retinopathy increased significantly with higher BMI (gr. 1: 24.03 ± 3.52, gr. 2: 25.36 ± 3.44, gr. 3: 26.93 ± 3.24; P<0.01. A positive correlation between BMI and a significant deterioration of HbA1c, an increase in cholesterol, triglycerides, and hypertension was observed. Conclusion. BMI in correlation with HbA1c, cholesterol, and hypertension appears to be associated with the progression of DR in type 1 diabetic patients without nephropathy. However, additional studies are required to investigate the pathogenic role of obesity and weight loss in retinal diabetic complications particularly relating to nephropathy.

  8. Body Mass Index and Retinopathy in Type 1 Diabetic Patients

    Science.gov (United States)

    Kaštelan, Snježana; Salopek Rabatić, Jasminka; Tomić, Martina; Gverović Antunica, Antonela; Ljubić, Spomenka; Kaštelan, Helena; Orešković, Darko

    2014-01-01

    Aim. To investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. Methods. The study included 176 patients with type 1 diabetes divided into three groups according to DR status: group 1 (no retinopathy; n = 86), group 2 (mild/moderate nonproliferative DR; n = 33), and group 3 (severe/very severe NPDR or proliferative DR; n = 57). Results. A significant deterioration of HbA1c, an increase in total cholesterol, systolic, diastolic blood pressure, and diabetic nephropathy with the progression of retinopathy were found. DR progression was correlated with diabetes duration, HbA1c, hypertension, total cholesterol, and the presence of nephropathy. In patients without nephropathy, statistical analyses showed that progression of retinopathy increased significantly with higher BMI (gr. 1: 24.03 ± 3.52, gr. 2: 25.36 ± 3.44, gr. 3: 26.93 ± 3.24; P < 0.01). A positive correlation between BMI and a significant deterioration of HbA1c, an increase in cholesterol, triglycerides, and hypertension was observed. Conclusion. BMI in correlation with HbA1c, cholesterol, and hypertension appears to be associated with the progression of DR in type 1 diabetic patients without nephropathy. However, additional studies are required to investigate the pathogenic role of obesity and weight loss in retinal diabetic complications particularly relating to nephropathy. PMID:24696683

  9. Effects of body mass index on sleep patterns during pregnancy.

    LENUS (Irish Health Repository)

    Kennelly, M M

    2011-01-01

    The purpose of this study was to profile sleep patterns during pregnancy according to body mass index (BMI) and to correlate labour outcomes with both BMI and hours sleep. Data were collected from 200 postpartum women detailing sleep characteristics before and during pregnancy. A validated sleep questionnaire was employed, which comprised of questions about sleep apnoea, snoring, subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication and daytime dysfunction. Descriptive analyses were used. With advancing gestation, the mean (SD) number of hours sleep per night declined: pre-pregnancy 8.1 (SD 1.4); 1st trimester 8.3 (SD 1.8); 2nd trimester 7.7 (SD 1.7) and 3rd trimester 6.7 (SD 2.2). In the 18.5-24.9 BMI group, there was a marked difference in hours sleep per night from pre-pregnancy to 1st (8.6 h, p = 0.007), 2nd (7.9 h, p = 0.023) and 3rd (6.4 h, p = 0.000) trimesters in primiparous women. In the 25-29.9 BMI group, there was a difference from pre-pregnancy to 3rd trimester (p = 0.000). These changes were not reflected in a clinically significant difference in birth weight or mode of delivery.

  10. Association between Asthma and Body Mass Index in Children

    Directory of Open Access Journals (Sweden)

    Babak Amra

    2005-03-01

    Full Text Available Obesity has been reported to be associated with an increase in asthma in children. If there is any association, it could be attributed to an effect of obesity on lung volume and thus airway’s obstruction. Data from 2413 children aged 7–12 years in Isfahan were analyzed. The subjects were included in this study if data were available for: height, weight, age, lung volume, and any measure of asthma, including history of diagnosed asthma, wheeze, chronic cough, and medication as obtained by questionnaire. Body mass index (BMI percentiles, divided into quintiles per year age, were used as a measure of standardized weight.After adjusting for, sex, age, smoking and family history, BMI was a significant risk factor for wheeze ever (p = 0.000 and asthma ever (p = 0.000, diagnosed asthma (P=0.000 and current asthma (p = 0.000. There was no significant correlation between BMI and obstructive spirometry. Increased BMI was significantly associated with an increased airway resistance.Despite the fact that higher BMI is a risk factor for, wheeze ever, wheeze and dyspnea in the last 12 months, and diagnosed asthma, higher BMI is not a risk factor for obstructive pattern in pulmonary function test.

  11. EFFECT OF BODY MASS INDEX ON COLORECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    张霁; 苏向前; 郑俊全; 顾晋; 宗祥龙; 王怡; 季加孚

    2003-01-01

    Objective: To evaluate the association between obesity and the risk of colorectal cancer. Methods: 331 patients with rectal cancer and 175 with colon cancer who accepted surgical operation at Beijing Cancer Hospital during 1995 and 2002 were enrolled. Data were collected by reviewing the pathology materials and hospital records. 258 healthy people who accepted health examination at Beijing Cancer Hospital during 2000 and 2002 were also enrolled as control. Data of height, weight and gender at the time of examination were also collected. Obesity was estimated by body mass index (BMI), computed as weight in kilograms divided by height in meters squared (kg/m2). The degree of obesity was compared between the two groups using BMI(18.5, 24-27.9 and (28 (kg/m2) as the cut-off points for underweight, overweight and obesity. Associations with obesity were estimated by odds ratios (ORs) and 95% confidence intervals (CIs). All ORs were adjusted for age and sex. Results: Obesity was significantly prevalent in female patients with rectal cancer. All the patients with colon cancer showed lower level of BMI than control subjects. The ORs for rectal cancer rose with increasing BMI in women. Meanwhile, the ORs for colon cancer dropped with increasing BMI in both men and women. Obesity was an independent risk factor for rectal cancer, but not an independent risk factor for colon cancer. Conclusion: Rectal cancer and colon cancer may have different biological behavior. Obese women have relatively high risk for rectal cancer.

  12. The effects of maternal body mass index on pregnancy outcome.

    LENUS (Irish Health Repository)

    Khashan, A S

    2012-01-31

    The increasing prevalence of obesity is presenting a critical challenge to healthcare services. We examined the effect of Body Mass Index in early pregnancy on adverse pregnancy outcome. We performed a population register-based cohort study using data from the North Western Perinatal survey (N = 99,403 babies born during 2004-2006), based at The University of Manchester, UK. The main outcome measures were Caesarean section delivery, preterm birth, neonatal death, stillbirth, Macrosomia, small for gestational age and large for gestational age. The risk of preterm birth was reduced by almost 10% in overweight (RR = 0.89, [95% CI: 0.83, 0.95]) and obese women (RR = 0.90, [95% CI: 0.84, 0.97]) and was increased in underweight women (RR = 1.33, [95% CI: 1.16, 1.53]). Overweight (RR = 1.17, [95% CI: 1.09, 1.25]), obese (RR = 1.35, [95% CI: 1.25, 1.45]) and morbidly obese (RR = 1.24, [95% CI: 1.02, 1.52]) women had an elevated risk of post-term birth compared to normal women. The risk of fetal macrosomia and operative delivery increased with BMI such that morbidly obese women were at greatest risk of both (RR of macrosomia = 4.78 [95% CI: 3.86, 5.92] and RR of Caesarean section = 1.66 [95% CI: 1.61, 1.71] and a RR of emergency Caesarean section = 1.59 [95% CI: 1.45, 1.75]). Excessive leanness and obesity are associated with different adverse pregnancy outcomes with major maternal and fetal complications. Overweight and obese women have a higher risk of macrosomia and Caesarean delivery and lower risk of preterm delivery. The mechanism underlying this association is unclear and is worthy of further investigation.

  13. Body Mass Index and Employment-Based Health Insurance

    Directory of Open Access Journals (Sweden)

    Franks Peter

    2008-05-01

    Full Text Available Abstract Background Obese workers incur greater health care costs than normal weight workers. Possibly viewed by employers as an increased financial risk, they may be at a disadvantage in procuring employment that provides health insurance. This study aims to evaluate the association between body mass index [BMI, weight in kilograms divided by the square of height in meters] of employees and their likelihood of holding jobs that include employment-based health insurance [EBHI]. Methods We used the 2004 Household Components of the nationally representative Medical Expenditure Panel Survey. We utilized logistic regression models with provision of EBHI as the dependent variable in this descriptive analysis. The key independent variable was BMI, with adjustments for the domains of demographics, social-economic status, workplace/job characteristics, and health behavior/status. BMI was classified as normal weight (18.5–24.9, overweight (25.0–29.9, or obese (≥ 30.0. There were 11,833 eligible respondents in the analysis. Results Among employed adults, obese workers [adjusted probability (AP = 0.62, (0.60, 0.65] (P = 0.005 were more likely to be employed in jobs with EBHI than their normal weight counterparts [AP = 0.57, (0.55, 0.60]. Overweight workers were also more likely to hold jobs with EBHI than normal weight workers, but the difference did not reach statistical significance [AP = 0.61 (0.58, 0.63] (P = 0.052. There were no interaction effects between BMI and gender or age. Conclusion In this nationally representative sample, we detected an association between workers' increasing BMI and their likelihood of being employed in positions that include EBHI. These findings suggest that obese workers are more likely to have EBHI than other workers.

  14. Association between Body Mass Index and Mitral Valve Prolapse

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    Malihe Mojaver Borabadi

    2016-03-01

    Full Text Available Introduction: Body mass index (BMI can affect cardiac morphology; however, the relationship between BMI and valvular heart diseases has not been thoroughly evaluated. This study aimed to determine the relationship between BMI and mitral valve prolapse (MVP as one of the most common valve diseases worldwide. It can help us to better understand pathophysiology of this common disease. Materials and Methods: In this descriptive study we enrolled 200 patients with isolated MVP. This patient was referred from 2014 to 2015 to our cardiology clinic in Mashhad, Iran, with chief complaint of chest pain, dyspnea, and palpitation. patients underwent transthoracic echocardiography. We document the patients’ height, weight, and demographics data. BMI distribution was categorized as higher and lower than 18.5 kg/m2. Chi- square and independent samples t-test were performed using SPSS version 19 to analyze the data. Results: The results showed that 92 (46% and 108 (54% of the samples were male and female, respectively, and their mean age was 24.29±3.75 years. Most of the patients(n=110 had low BMI (55% of the patients had BMI lower than 18.5 kg/m2. Left atrial and ventricular diameters had a significant relationship with BMI of all the underweight patients(n=110 (P=0.026 and 0.032, respectively. The main complaints were chest pain (n=55,50% and dyspnea (n=58,64.44% in the patients with low and normal BMI, respectively. Conclusion: Symptoms and echocardiographic features in MVP patients vary with BMI. While mitral valve annulus diameter was the same in both BMI groups, the results showed that left atrial and ventricular diameters in the underweight patients were less than those with normal BMI.

  15. Body mass index and quality of life among the elderly

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    Rina K. Kusumaratna

    2016-02-01

    Full Text Available Obesity in many countries is a major public health problem. The health problems associated with an increase in the proportion of elderly in the population are further compounded by the increasing prevalence of obesity and overweight in older people. The aimed of this study was to explore any difference of quality of life (QOL attributable body mass index (BMI categories using the WHOQOL-BREF instruments. An observational cross-sectional study was conducted in Mampang Prapatan district, South Jakarta. A total of 296 free-living elderly aged 60 years and above were participated in this study. BMI was calculated as the weight (kg divided by the square of the height (m2. Quality of life was measured by WHOQOL-BREF questionnaire in the Indonesian language version. The results showed that the percentage of overweight subjects was 27.5% in male and 22.2% in female elderly, while the percentage of obese subjects was respectively 8.3 and 13.2.1% respectively. In males, the mean scores on each domain of the QOL were higher compared with females. The significant differences were in social relationship (p=0.000 and environment (p=0018 domains. Among male and female elderly the highest mean scores of each domain of QOL was observed in the environment domain, and mean scores of the environment domain was significantly higher in males compare with females (p=0.018. The results have practical implications for the health of older persons because they show that the overweight have a worse score in two QOL domains, namely psychological health and environment.

  16. Serotonergic mediated body mass index changes in Parkinson's disease.

    Science.gov (United States)

    Politis, Marios; Loane, Clare; Wu, Kit; Brooks, David J; Piccini, Paola

    2011-09-01

    More than 50% of patients with Parkinson's disease (PD) are expected to show abnormalities with their weight in a process that starts several years before the diagnosis. The serotonergic (5-HT) system has been proposed to regulate appetite and the 5-HT transporter (SERT) is a key modulator of 5-HT metabolism. Here, we hypothesized that a dysfunctional 5-HT system could be responsible for alterations of weight in PD and we sought to investigate this in vivo. Thirty four PD patients had Body Mass Index (BMI) changes monitored over a 12-month period and one positron emission tomography (PET) brain scan with (11)C-DASB, a selective marker of SERT availability, during their second clinical assessment. Results were compared with those of a group of 10 normal controls. Half (17) of the PD patients showed abnormal BMI changes over the 12-month period; 12 lost while 5 gained weight. PD patients with abnormal BMI changes showed significantly raised (11)C-DASB binding in rostral raphe nuclei, hypothalamus, caudate nucleus and ventral striatum compared to cases with no significant BMI changes. (11)C-DASB binding in other regions was similarly decreased in the PD BMI subgroups compared to normal controls. BMI gainers showed significantly raised (11)C-DASB binding in anterior cingulate cortex (ACC) compared to BMI losers. Our findings suggest that abnormal BMI changes over a 12-month period are linked with relatively raised SERT availability in PD on an overall background of decreased 5-HT function. The regions implicated are the rostral raphe nuclei and its connections to limbic and cognitive areas. It is conceivable that 5-HT agents could help alleviate abnormal changes in BMI in PD.

  17. Do early life factors influence body mass index in adolescents?

    Directory of Open Access Journals (Sweden)

    M.Z. Goldani

    Full Text Available The association between early life factors and body mass index (BMI in adulthood has been demonstrated in developed countries. The aim of the present study was to assess the influence of early life factors (birth weight, gestational age, maternal smoking, and social class on BMI in young adulthood with adjustment for adult socioeconomic position. A cohort study was carried out in 1978/79 with 6827 mother-child pairs from Ribeirão Preto city, located in the most developed economic area of the country. Biological, economic and social variables and newborn anthropometric measurements were obtained shortly after delivery. In 1996, 1189 males from this cohort, 34.3% of the original male population, were submitted to anthropometric measurements and were asked about their current schooling on the occasion of army recruitment. A multiple linear regression model was applied to determine variables associated with BMI. Mean BMI was 22.7 (95%CI = 22.5-23.0. After adjustment, BMI was 1.22 kg/m² higher among infants born with high birth weight (³4000 g, 1.21 kg/m² higher among individuals of low social class at birth and 0.69 kg/m² higher among individuals whose mothers smoked during pregnancy (P < 0.05. The association between social class at birth and BMI remained statistically significant (P < 0.05 even after adjustment for adult schooling. These findings suggest that early life social influences on BMI were more important and were not reversed by late socioeconomic position. Therefore, prevention of overweight and obesity should focus not only on changes in adult life styles but also on factors such as high birth weight.

  18. Body Mass Index Genetic Risk Score and Endometrial Cancer Risk.

    Directory of Open Access Journals (Sweden)

    Jennifer Prescott

    Full Text Available Genome-wide association studies (GWAS have identified common variants that predispose individuals to a higher body mass index (BMI, an independent risk factor for endometrial cancer. Composite genotype risk scores (GRS based on the joint effect of published BMI risk loci were used to explore whether endometrial cancer shares a genetic background with obesity. Genotype and risk factor data were available on 3,376 endometrial cancer case and 3,867 control participants of European ancestry from the Epidemiology of Endometrial Cancer Consortium GWAS. A BMI GRS was calculated by summing the number of BMI risk alleles at 97 independent loci. For exploratory analyses, additional GRSs were based on subsets of risk loci within putative etiologic BMI pathways. The BMI GRS was statistically significantly associated with endometrial cancer risk (P = 0.002. For every 10 BMI risk alleles a woman had a 13% increased endometrial cancer risk (95% CI: 4%, 22%. However, after adjusting for BMI, the BMI GRS was no longer associated with risk (per 10 BMI risk alleles OR = 0.99, 95% CI: 0.91, 1.07; P = 0.78. Heterogeneity by BMI did not reach statistical significance (P = 0.06, and no effect modification was noted by age, GWAS Stage, study design or between studies (P≥0.58. In exploratory analyses, the GRS defined by variants at loci containing monogenic obesity syndrome genes was associated with reduced endometrial cancer risk independent of BMI (per BMI risk allele OR = 0.92, 95% CI: 0.88, 0.96; P = 2.1 x 10-5. Possessing a large number of BMI risk alleles does not increase endometrial cancer risk above that conferred by excess body weight among women of European descent. Thus, the GRS based on all current established BMI loci does not provide added value independent of BMI. Future studies are required to validate the unexpected observed relation between monogenic obesity syndrome genetic variants and endometrial cancer risk.

  19. Body Image, Food Addiction, Depression, and Body Mass Index in University Students.

    Science.gov (United States)

    Şanlier, Nevin; Türközü, Duygu; Toka, Onur

    2016-01-01

    The relationship between body image, depression, food addiction and body mass index (BMI) and differences in these variables due to gender and field of education have not been studied extensively. This study was conducted on a total of 793 university students (20.19 ± 1.90 years). The Beck Depression Inventory, Yale Food Addiction, and Body Image Scale were used. It was determined that body image scores of females and individuals enrolled in health sciences programs were lower compared to those of males and those enrolled in the social sciences. There was a negative relationship between body image and depression and food addiction scores. There was a positive relationship between food addiction and depression scores, in addition to a positive relationship between food addiction and BMI.

  20. A study on body mass index and its correlation with type 2 diabetes

    Directory of Open Access Journals (Sweden)

    Subhash Chand Jain

    2014-08-01

    Full Text Available Obesity and increases in body weight are among the most important risk factors for type 2 diabetes mellitus. Obesity contributes to the development of type 2 diabetes mellitus. Body mass index is also known as obesity index. Body mass index is a strong and independent risk factor for being diagnosed in cases of type 2 diabetes mellitus. There is a high risk of type 2 diabetes in those who have a higher body mass index. The present study has been done with the objective of finding correlation between BMI and type 2 diabetes. [Int J Res Med Sci 2014; 2(4.000: 1638-1641

  1. Intestinal Microbiota Is Influenced by Gender and Body Mass Index

    Science.gov (United States)

    Haro, Carmen; Rangel-Zúñiga, Oriol A.; Alcalá-Díaz, Juan F.; Gómez-Delgado, Francisco; Pérez-Martínez, Pablo; Delgado-Lista, Javier; Quintana-Navarro, Gracia M.; Landa, Blanca B.; Navas-Cortés, Juan A.; Tena-Sempere, Manuel; Clemente, José C.; López-Miranda, José

    2016-01-01

    Intestinal microbiota changes are associated with the development of obesity. However, studies in humans have generated conflicting results due to high inter-individual heterogeneity in terms of diet, age, and hormonal factors, and the largely unexplored influence of gender. In this work, we aimed to identify differential gut microbiota signatures associated with obesity, as a function of gender and changes in body mass index (BMI). Differences in the bacterial community structure were analyzed by 16S sequencing in 39 men and 36 post-menopausal women, who had similar dietary background, matched by age and stratified according to the BMI. We observed that the abundance of the Bacteroides genus was lower in men than in women (P 33. In fact, the abundance of this genus decreased in men with an increase in BMI (P<0.001, Q<0.001). However, in women, it remained unchanged within the different ranges of BMI. We observed a higher presence of Veillonella (84.6% vs. 47.2%; X2 test P = 0.001, Q = 0.019) and Methanobrevibacter genera (84.6% vs. 47.2%; X2 test P = 0.002, Q = 0.026) in fecal samples in men compared to women. We also observed that the abundance of Bilophila was lower in men compared to women regardless of BMI (P = 0.002, Q = 0.041). Additionally, after correcting for age and sex, 66 bacterial taxa at the genus level were found to be associated with BMI and plasma lipids. Microbiota explained at P = 0.001, 31.17% variation in BMI, 29.04% in triglycerides, 33.70% in high-density lipoproteins, 46.86% in low-density lipoproteins, and 28.55% in total cholesterol. Our results suggest that gut microbiota may differ between men and women, and that these differences may be influenced by the grade of obesity. The divergence in gut microbiota observed between men and women might have a dominant role in the definition of gender differences in the prevalence of metabolic and intestinal inflammatory diseases. PMID:27228093

  2. Effect of body mass index on adenocarcinoma of gastric cardia

    Institute of Scientific and Technical Information of China (English)

    Ji Zhang; Xiang-Qian Su; Xiao-Jiang Wu; Ya-Hang Liu; Hua Wang; Xiang-Nong Zong; Yi Wang; Jia-Fu Ji

    2003-01-01

    AIM: Obesity has been proved as one of the main risk factors for gastric cardia adenocarcinoma (GCA) in the West.The objective of our research was to evaluate the relationship between obesity and the risk of GCA in people from North China.METHODS: A total of 300 patients who had been diagnosed as GCA and had accepted surgical operation at Beijing Cancer Hospital from 1995 to 2002 were enrolled. Data were collected from pathology materials and hospital records. Two hundred and fifty-eight healthy people who had accepted health examination at the same hospital during the same period were enrolled as controls. Height, weight and gender of them at the time of examination were also collected.Obesity was estimated by body mass index (BMI), computed as weight in kilograms per square surface area (Kg/m2).The degree of obesity was determined by using BMI≤ 18.5,24-27.9 and ≥28 (Kg/m2) as the cut-off points for underweight/normal, overweight and obesity, respectively.Associations with obesity were estimated by odds ratios (ORs) and 95 % confidence intervals (CIs). All ORs were adjusted for age and sex.RESULTS: The mean level of BMI was significantly lower in the patient group than that in the control group. The ORs for obesity in age groups 30-59 and 60-79 were 1.15 (95 %CI=0.37-3.65) and 0.16 (95 % CI=0.05-0.44) for males and 0.78 (95 % CI=0.26-2.36) and 0.28 (95 % CI=0.04-2.05)for females, respectively. The ORs for underweight were 2.42 (95 % CI=0.56-10.53) and 4.68 (95 % CI=1.13-19.40)for males in age subgroups 30-59 and 60-79 and 40.7 (95 %CI=9.32-177.92) for females older than 60 yrs. BMI was significantly associated with GCA (P<0.01). Underweight people were at high risk for GCA.CONCLUSION: BMI is an independent risk factor for GCA.Underweight is positively associated with GCA.

  3. Intestinal Microbiota Is Influenced by Gender and Body Mass Index.

    Directory of Open Access Journals (Sweden)

    Carmen Haro

    Full Text Available Intestinal microbiota changes are associated with the development of obesity. However, studies in humans have generated conflicting results due to high inter-individual heterogeneity in terms of diet, age, and hormonal factors, and the largely unexplored influence of gender. In this work, we aimed to identify differential gut microbiota signatures associated with obesity, as a function of gender and changes in body mass index (BMI. Differences in the bacterial community structure were analyzed by 16S sequencing in 39 men and 36 post-menopausal women, who had similar dietary background, matched by age and stratified according to the BMI. We observed that the abundance of the Bacteroides genus was lower in men than in women (P 33. In fact, the abundance of this genus decreased in men with an increase in BMI (P<0.001, Q<0.001. However, in women, it remained unchanged within the different ranges of BMI. We observed a higher presence of Veillonella (84.6% vs. 47.2%; X2 test P = 0.001, Q = 0.019 and Methanobrevibacter genera (84.6% vs. 47.2%; X2 test P = 0.002, Q = 0.026 in fecal samples in men compared to women. We also observed that the abundance of Bilophila was lower in men compared to women regardless of BMI (P = 0.002, Q = 0.041. Additionally, after correcting for age and sex, 66 bacterial taxa at the genus level were found to be associated with BMI and plasma lipids. Microbiota explained at P = 0.001, 31.17% variation in BMI, 29.04% in triglycerides, 33.70% in high-density lipoproteins, 46.86% in low-density lipoproteins, and 28.55% in total cholesterol. Our results suggest that gut microbiota may differ between men and women, and that these differences may be influenced by the grade of obesity. The divergence in gut microbiota observed between men and women might have a dominant role in the definition of gender differences in the prevalence of metabolic and intestinal inflammatory diseases.

  4. Body mass index and body composition scaling to height in children and adolescent

    OpenAIRE

    Chung, Sochung

    2015-01-01

    Childhood obesity prevalence has been increased and known to be related to various diseases and mortality in adult and body mass index (BMI) has been widely used as a screening tool in children with obesity. It is important to understand what BMI is and its limitations. BMI is a measure of weight adjusted for height. Weight scales to height with a power of about 2, is the basis of BMI (weight/height2) as the scaling of body weight to height across adults provides powers rounded to 2. BMI has ...

  5. Motor Proficiency and Body Mass Index of Preschool Children: In Relation to Socioeconomic Status

    Science.gov (United States)

    Mülazimoglu-Balli, Özgür

    2016-01-01

    The aim of the study was to investigate the correlation between motor proficiency and body mass index and to assess the socioeconomic status differences in motor proficiency and body mass index of preschool children. Sixty preschool children in the different socioeconomic status areas of central Denizli in Turkey participated in the study. The…

  6. Deep Inspiration Avoidance and Airway Response to Methacholine: Influence of Body Mass Index

    Directory of Open Access Journals (Sweden)

    Louis-Philippe Boulet

    2005-01-01

    Full Text Available OBJECTIVE: To evaluate the effects of deep inspiration avoidance response to methacholine inhalation in 23 nonobese (body mass index between 18 kg/m2 and 30 kg/m2 and 27 obese (body mass index 30 kg/m2 or greater, nonatopic, nonasthmatic normal subjects.

  7. Scaling of human body mass with height: the Body Mass Index revisited

    CERN Document Server

    MacKay, N J

    2009-01-01

    We adapt a biomechanical argument of Rashevsky, which places limits on the stress experienced by a torso supported by the legs, to deduce that body mass $m$ of growing children should scale as the $p$th power of height $h$ with $7/3

  8. Body mass index and risk of Parkinson's disease: a prospective cohort study.

    Science.gov (United States)

    Logroscino, Giancarlo; Sesso, Howard D; Paffenbarger, Ralph S; Lee, I-Min

    2007-11-15

    High body mass index has been associated with increased risk of several chronic diseases, including cardiovascular disease, and, recently, Alzheimer's disease. There are few data on the association of body mass index with Parkinson's disease, and results have been inconsistent. The authors conducted a prospective study among 10,812 men in the Harvard Alumni Health Study, followed from 1988 to 1998 (mean age at baseline: 67.7 years), to test the hypothesis that body mass index is associated with Parkinson's disease risk. Among 106 incident cases of Parkinson's disease, body mass index at baseline was not associated with Parkinson's disease risk (for body mass index or =25.0 kg/m2: multivariate relative risks = 1.51 (95% confidence interval: 0.95, 2.40), 1.00 (referent), and 0.86 (95% confidence interval: 0.53, 1.41)). The authors had information on body mass index during late adolescence, when men entered college; this was unrelated to Parkinson's disease risk as well. Subjects who lost at least 0.5 units of body mass index per decade between college entry and 1988 had a significantly increased Parkinson's disease risk, compared with men having stable body mass index (multivariate relative risk = 2.60, 95% confidence interval: 1.10, 6.10). The authors conclude that body mass index is unrelated to Parkinson's disease risk and speculate that the observation of increased risk with body mass index loss since late adolescence may reflect weight loss due to Parkinson's disease that preceded clinical diagnosis.

  9. Agreement and association between different indicators of body image and body mass index in adolescents.

    Science.gov (United States)

    Santos, Carla Fernandez Dos; Castro, Inês Rugani Ribeiro de; Cardoso, Letícia de Oliveira; Tavares, Letícia Ferreira

    2014-01-01

    The aim of the study was to examine the correlation among different indicators of body image; between each one of these and nutritional status; and the association of these indicators with the Body Mass Index (BMI) of adolescents. A random sample of 152 students from public and private schools in the city of Rio de Janeiro, Brazil, was studied. On four occasions, two silhouette scales and two questions regarding the opinion of the student about his/her body and weight were applied and weight and height were measured. The BMI was examined both as a continuous and as a categorical variable. The agreement between the variables was analyzed using the quadratic weighted Kappa statistics. The association between body image variables and BMI was examined by the comparison among median, mean, standard deviation and 95% confidence interval of BMI for each category of the body image variables. In general, the correlation among the body image variables ranged from reasonable to good; between these and the variable nutritional status, correlation ranged from regular to reasonable. Best results were observed among boys and students from private schools. All body image variables showed good discriminatory power for BMI, when it was analyzed as a continuous variable, even when controlling for potential confounders. The question about body seems to be better than that about weight to compose the questionnaire of a surveillance system for risk and protective factors for adolescent health.

  10. Effect of Body Mass Index on Left Ventricular Mass in Career Male Firefighters

    Science.gov (United States)

    Korre, Maria; Porto, Luiz Guilherme G.; Farioli, Andrea; Yang, Justin; Christiani, David C.; Christophi, Costas A.; Lombardi, David A.; Kovacs, Richard J.; Mastouri, Ronald; Abbasi, Siddique; Steigner, Michael; Moffatt, Steven; Smith, Denise; Kales, Stefanos N.

    2017-01-01

    Left ventricular (LV) mass is a strong predictor of cardiovascular disease (CVD) events; increased LV mass is common among US firefighters and plays a major role in firefighter sudden cardiac death. We aim to identify significant predictors of LV mass among firefighters. Cross-sectional study of 400 career male firefighters selected by an enriched randomization strategy. Weighted analyses were performed based on the total number of risk factors per subject with inverse probability weighting. LV mass was assessed by echocardiography (ECHO) and cardiac magnetic resonance, and normalized (indexed) for height. CVD risk parameters included vital signs at rest, body mass index (BMI)–defined obesity, obstructive sleep apnea risk, low cardiorespiratory fitness, and physical activity. Linear regression models were performed. In multivariate analyses, BMI was the only consistent significant independent predictor of LV mass indexes (all, p <0.001). A 1-unit decrease in BMI was associated with 1-unit (g/m1.7) reduction of LV mass/height1.7 after adjustment for age, obstructive sleep apnea risk, and cardiorespiratory fitness. In conclusion, after height-indexing ECHO-measured and cardiac magnetic resonance–measured LV mass, BMI was found to be a major driver of LV mass among firefighters. Our findings taken together with previous research suggest that reducing obesity will improve CVD risk profiles and decrease on-duty CVD and sudden cardiac death events in the fire service. Our results may also support targeted noninvasive screening for LV hypertrophy with ECHO among obese firefighters. PMID:27687051

  11. The Relationship between Physical Activity Level, Body Mass Index, and Body Fat Percentages in Urban and Rural Elementary School Students

    Science.gov (United States)

    Orhan, Özlem

    2015-01-01

    The purpose of this study is to compare the physical activity levels, physical activity types, Body Mass Index (BMI) and body fat percentage (BF%) values of elementary school students living in rural and urban. Body height (BH), body weight (BW), BF% and BMI data were measured. Physical activity questionnaire was conducted to determine the…

  12. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    DEFF Research Database (Denmark)

    Speliotes, Elizabeth K; Willer, Cristen J; Berndt, Sonja I

    2010-01-01

    in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators...

  13. The CROES percutaneous nephrolithotomy global study: the influence of body mass index on outcome

    DEFF Research Database (Denmark)

    Fuller, Andrew; Razvi, Hassan; Denstedt, John D;

    2012-01-01

    In addition to more commonly forming stones, obese patients present a number of challenges when undergoing percutaneous nephrolithotomy. We evaluated percutaneous nephrolithotomy outcomes in 3,709 patients stratified by body mass index....

  14. Lung volumes related to physical activity, physical fitness, aerobic capacity and body mass index in students

    Directory of Open Access Journals (Sweden)

    Mihailova A.

    2016-01-01

    Reduced lung volumes were associated with lower aerobic fitness, lower physical fitness and lower amount of weekly physical activity. Healthier body mass index was associated with higher aerobic fitness (relative VO2max in both female and male.

  15. Association between body mass index and breast density using digital mammography

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Mi Young [Dept. of Diagnostic Radiology, Dankook University Hospital, Cheonan (Korea, Republic of); Kim, Hwa Sun [Dept. of Radiological Technology, Ansan University, Ansan (Korea, Republic of)

    2014-12-15

    It is well known that low body mass index and younger age are associated with high breast density. Mammographic dense breast has been reported both as a cause of false-negative findings on mammography and as an indicator of increased breast cancer risk. The purpose of this study was to evaluate the association between breast density and body mass index. Furthermore, we considered proper screening method of breast cancer in Korean women. The study was performed on 496 women who underwent health checkup in a university hospital. Age and body mass index were negatively associated with breast density respectively. In postmenopausal women, age and body mass index showed statistically significant association with breast density. Therefore, we should consider sensitive additional method for breast cancer screening especially in younger age and underweight women.

  16. The effect of elevated body mass index on ischemic heart disease risk

    DEFF Research Database (Denmark)

    Nordestgaard, Børge G; Palmer, Tom M; Benn, Marianne

    2012-01-01

    Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal.......Adiposity, assessed as elevated body mass index (BMI), is associated with increased risk of ischemic heart disease (IHD); however, whether this is causal is unknown. We tested the hypothesis that positive observational associations between BMI and IHD are causal....

  17. Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men

    DEFF Research Database (Denmark)

    Jensen, Tina Kold; Andersson, Anne-Maria; Jørgensen, Niels;

    2004-01-01

    To examine the relationship between body mass index (BMI) and semen quality among young men from the general population.......To examine the relationship between body mass index (BMI) and semen quality among young men from the general population....

  18. Body mass index effects sperm quality: a retrospective study in Northern China

    Directory of Open Access Journals (Sweden)

    En-Yin Wang

    2017-01-01

    Full Text Available Excess weight and obesity have become a serious problem in adult men of reproductive age throughout the world. The purpose of this retrospective study was to assess the relationships between body mass index and sperm quality in subfertile couples in a Chinese Han population. Sperm analyses were performed and demographic data collected from 2384 male partners in subfertile couples who visited a reproductive medical center for treatment and preconception counseling. The subjects were classified into four groups according to their body mass index: underweight, normal, overweight, and obese. Of these subjects, 918 (38.3% had a body mass index of >25.0 kg m−0 2 . No significant differences were found between the four groups with respect to age, occupation, level of education, smoking status, alcohol use, duration of sexual abstinence, or the collection time of year for sperm. The results clearly indicated lower sperm quality (total sperm count, sperm concentration, motile sperm, relative amounts of type A motility, and progressive motility sperm [A + B] in overweight and obese participants than in those with normal body mass index. Normal sperm morphology and sperm volume showed no clear difference between the four groups. This study indicates that body mass index has a negative effect on sperm quality in men of subfertile couples in a Northern Chinese population. Further study should be performed to investigate the relationship between body mass index and sperm quality in a larger population.

  19. Personality traits and body mass index in a Korean population.

    Directory of Open Access Journals (Sweden)

    Unjin Shim

    Full Text Available BACKGROUND: Overweight and obesity is a serious problem worldwide related to cardiovascular and other diseases. Personality traits are associated with the abnormal body mass indices (BMIs indicative of overweight and obesity. However, the links between personality traits and BMI have been little studied in Korea. METHODS: We evaluated the association between personality traits and BMI in men and women using the rural Ansung and urban Ansan cohort from the Korean Genome Epidemiology Study, and the Kangbuk Samsung Hospital Cohort Study datasets. A shorter version of the original Revised Neuroticism-Extroversion-Openness Personality Inventory (NEO-PI-R was used to measure the five-factor model of personality (neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. RESULTS: Data from a total of 1,495 men (mean age 60.0 ± 9.8 years; mean BMI 24.3 ± 3.0 kg/m2 and 2,547 women (mean age 47.0 ± 15.5 years; mean BMI 22.8 ± 3.4 kg/m2 were included in the analysis. Compared with the normal weight groups, overweight and obese men scored higher on openness to experience and lower on conscientiousness. Overweight and obese women scored lower on neuroticism and openness to experience and higher on agreeableness. Extraversion was positively associated with BMI in men (β=0.032, P<0.05. BMI and waist circumference were significantly increased in individuals who were less dutiful. In women, neuroticism was inversely associated with BMI (β=-0.026, P<0.05. Openness to experience was negatively, and agreeableness was positively, associated with BMI (openness to experience: β=-0.072, agreeableness β=0.068 and waist circumference (openness to experience: β=-0.202, agreeableness: β=0.227 (P<0.05. CONCLUSION: Personality traits were associated with underweight, overweight, and obesity in men and women. Increased understanding of the underlying factors contributing to this association will aid in the prevention and treatment of

  20. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation.

    Science.gov (United States)

    Willer, Cristen J; Speliotes, Elizabeth K; Loos, Ruth J F; Li, Shengxu; Lindgren, Cecilia M; Heid, Iris M; Berndt, Sonja I; Elliott, Amanda L; Jackson, Anne U; Lamina, Claudia; Lettre, Guillaume; Lim, Noha; Lyon, Helen N; McCarroll, Steven A; Papadakis, Konstantinos; Qi, Lu; Randall, Joshua C; Roccasecca, Rosa Maria; Sanna, Serena; Scheet, Paul; Weedon, Michael N; Wheeler, Eleanor; Zhao, Jing Hua; Jacobs, Leonie C; Prokopenko, Inga; Soranzo, Nicole; Tanaka, Toshiko; Timpson, Nicholas J; Almgren, Peter; Bennett, Amanda; Bergman, Richard N; Bingham, Sheila A; Bonnycastle, Lori L; Brown, Morris; Burtt, Noël P; Chines, Peter; Coin, Lachlan; Collins, Francis S; Connell, John M; Cooper, Cyrus; Smith, George Davey; Dennison, Elaine M; Deodhar, Parimal; Elliott, Paul; Erdos, Michael R; Estrada, Karol; Evans, David M; Gianniny, Lauren; Gieger, Christian; Gillson, Christopher J; Guiducci, Candace; Hackett, Rachel; Hadley, David; Hall, Alistair S; Havulinna, Aki S; Hebebrand, Johannes; Hofman, Albert; Isomaa, Bo; Jacobs, Kevin B; Johnson, Toby; Jousilahti, Pekka; Jovanovic, Zorica; Khaw, Kay-Tee; Kraft, Peter; Kuokkanen, Mikko; Kuusisto, Johanna; Laitinen, Jaana; Lakatta, Edward G; Luan, Jian'an; Luben, Robert N; Mangino, Massimo; McArdle, Wendy L; Meitinger, Thomas; Mulas, Antonella; Munroe, Patricia B; Narisu, Narisu; Ness, Andrew R; Northstone, Kate; O'Rahilly, Stephen; Purmann, Carolin; Rees, Matthew G; Ridderstråle, Martin; Ring, Susan M; Rivadeneira, Fernando; Ruokonen, Aimo; Sandhu, Manjinder S; Saramies, Jouko; Scott, Laura J; Scuteri, Angelo; Silander, Kaisa; Sims, Matthew A; Song, Kijoung; Stephens, Jonathan; Stevens, Suzanne; Stringham, Heather M; Tung, Y C Loraine; Valle, Timo T; Van Duijn, Cornelia M; Vimaleswaran, Karani S; Vollenweider, Peter; Waeber, Gerard; Wallace, Chris; Watanabe, Richard M; Waterworth, Dawn M; Watkins, Nicholas; Witteman, Jacqueline C M; Zeggini, Eleftheria; Zhai, Guangju; Zillikens, M Carola; Altshuler, David; Caulfield, Mark J; Chanock, Stephen J; Farooqi, I Sadaf; Ferrucci, Luigi; Guralnik, Jack M; Hattersley, Andrew T; Hu, Frank B; Jarvelin, Marjo-Riitta; Laakso, Markku; Mooser, Vincent; Ong, Ken K; Ouwehand, Willem H; Salomaa, Veikko; Samani, Nilesh J; Spector, Timothy D; Tuomi, Tiinamaija; Tuomilehto, Jaakko; Uda, Manuela; Uitterlinden, André G; Wareham, Nicholas J; Deloukas, Panagiotis; Frayling, Timothy M; Groop, Leif C; Hayes, Richard B; Hunter, David J; Mohlke, Karen L; Peltonen, Leena; Schlessinger, David; Strachan, David P; Wichmann, H-Erich; McCarthy, Mark I; Boehnke, Michael; Barroso, Inês; Abecasis, Gonçalo R; Hirschhorn, Joel N

    2009-01-01

    Common variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts (n > 59,000). We strongly confirm FTO and MC4R and identify six additional loci (P < 5 x 10(-8)): TMEM18, KCTD15, GNPDA2, SH2B1, MTCH2 and NEGR1 (where a 45-kb deletion polymorphism is a candidate causal variant). Several of the likely causal genes are highly expressed or known to act in the central nervous system (CNS), emphasizing, as in rare monogenic forms of obesity, the role of the CNS in predisposition to obesity.

  1. The relationship between body mass index and subjective well-being - the moderating role of body dissatisfaction

    Directory of Open Access Journals (Sweden)

    Brdarić Dragana

    2015-01-01

    Full Text Available Introduction. Excess bodyweight and obesity are widespread health problems throughout the world. In Serbia, over 50% of the adult population is overweight and the Province of Vojvodina is one of the regions with the highest percentage of obesity. The relationship between obesity and health complications has been consistently demonstrated. However, research on the relationship between obesity and subjective well-being has not provided clear results. Body dissatisfaction is considered to be an important factor for understanding this relationship. The main objective of this study was to investigate the moderating effect of body dissatisfaction in the relationship between body mass index and subjective well-being. Material and Methods. The study sample included 731 respondents (72.6% women, with the mean age 28.93 years (SD = 8.47 from the Province of Vojvodina who had completed an online set of tests consisting of Body Shape Questionnaire, Depression Anxiety Stress Scale-21, Satisfaction with Life Scale, Scale of Positive and Negative Experience and a self-assessment of bodyweight and body height. Results. The results indicate that the moderating effect of body dissatisfaction in the relationship between body mass index and indicators of subjective well-being is statistically significant in both sexes. Specifically, the women with higher body mass index values who expressed lower body dissatisfaction reported lower levels of emotional distress and higher levels of pleasant emotions than those with lower body mass index. On the other hand, the men with higher bodyweight preoccupation and low body mass index reported significantly higher levels of pleasant emotions than those with higher body mass index values. Conclusion. These results suggest the necessity of a more detailed study of this relationship on both clinical and general population samples from Serbia.

  2. Application of body mass index adjusted for fat mass (BMIfat obtained by bioelectrical impedance in adults

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    Mírele Savegnago Mialich

    2014-08-01

    Full Text Available Introduction: Body mass index (BMI has been one of the methods most frequently used for diagnose obesity, but it isn't consider body composition. Objective: This study intends to apply one new adiposity index, the BMI adjusted for fat mass (BMIfat developed by Mialich, et al. (2011, in a adult Brazilian sample. Methods: A cross-sectional study with 501 individuals of both genders (366 women, 135 men aged 17 to 38 years and mean age was 20.4 ± 2.8 years, mean weight 63.0 ± 13.5 kg, mean height 166.9 ± 9.0 cm, and BMI 22.4 ± 3.4 kg/m². Results and discussion: High and satisfactory R2 values were obtained, i.e., 91.1%, 91.9% and 88.8% for the sample as a whole and for men and women, respectively. Considering this BMIfat were developed new ranges, as follows: 1.35 to 1.65 (nutritional risk for malnutrition, > 1.65 and ≤ 2.0 (normal weight and > 2.0 (obesity. The BMIfat had a more accurate capacity of detecting obese individuals (0.980. 0.993, 0.974 considering the sample as a whole and women and men, respectively, compared to the traditional BMI (0.932, 0.956, 0.95. Were also defined new cut-off points for the traditional BMI for the classification of obesity, i.e.: 25.24 kg/m² and 28.38 kg/m² for men and women, respectively. Conclusion: The BMIfat was applied for the present population and can be adopted in clinical practice. Further studies are needed to determine its application to different ethnic groups and to compare this index to others previously described in the scientific literature.

  3. Body mass index and adult female urinary incontinence

    DEFF Research Database (Denmark)

    Mommsen, Søren; Foldspang, Anders

    1994-01-01

    The aim of the present investigation was to study the possible role of obesity in the etiology of adult female urinary incontinence (UI). A random population sample of 3,114 women aged 30–59 years were mailed a questionnaire concerning UI and, among other things, body weight and height. The overa...

  4. Body mass index and body composition among rescue firefighters personnel in Selangor, Malaysia

    Science.gov (United States)

    Rahimi, Nor Atiqah; Sedek, Razalee; Teh, Arnida Hani

    2016-11-01

    Obesity is a major public health problem in general population and there is no exception for firefighters. This disorder is definitely a burden for firefighters as they needed to be physically fit in order to work in dangerous situation and extinguishing fires. The purposes of this study were to determine physical characteristics and body composition among Malaysian Firefighters (MF) and to explore their association. This cross-sectional study involved 330 rescue firefighters aged between 20-50 years old from nine different districts in Selangor conducted between August and November 2015. Anthropometric measurements included height, weight and waist circumference (WC). Body composition was measured using bioelectrical impedance. The mean height, weight, body mass index (BMI), WC and body fat percentage were 169.4±5.3 cm, 74.5±12.2 kg, 25.9±3.82 kg/m2, 90.7±48.3 cm and 25.8±6.2 % respectively. The results also showed that 0.6% of them were underweight, 41.5% were normal, 44.8% were overweight and 13% were obese. The percentage of 34.8% firefighters with WC values of more than 90 cm means that they were at greater risk to have cardiovascular and diabetes disease. Body composition analysis showed that 75.5% of the subjects have high body fat level, 19.7% subjects were in healthy range but only 4.8% were considered as lean subjects. BMI was highly correlated with weight (r=0.917, p<0.01), WC (r=0.858, p<0.01) and body fat percentage (r=0.757, <0.01). Body fat percentage also showed to have a high correlation with BMI (r=0.757, p<0.01) and WC (r=0.693, p<0.01). Furthermore, overweight and obesity were found to be more prevalent among firefighters personnel of older age, married, less educated and have longer duration of services. It can be concluded that more than half of the firefighter personnel were either overweight or obese and 35% of them were at greater risk of having non-communicable diseases. This study provides useful information and serves as a source of

  5. TO STUDY THE BODY IMAGE AMO NG THE ADOLESCENT AGE GROUP AND ITS CORRELATION WITH BODY MASS INDEX

    Directory of Open Access Journals (Sweden)

    Keziah

    2015-04-01

    Full Text Available Body image or satisfaction with physical appearance has been established as an important aspect of self - worth and mental health across lifespan . Given the fact that physical appearance is a multifaceted structural concept that depends not only on inner biological , but also psychological and socio - cultural components , body image is conceived as one’s attitudinal dispositions toward the physical self . The purpose of this study is to evaluate the body image satisfaction - dissa tisfaction among adolescent age group , to correlate the components of body image with body mass index and the influence of parents , peers and mass media on body image .

  6. Measuring adiposity in patients: the utility of body mass index (BMI, percent body fat, and leptin.

    Directory of Open Access Journals (Sweden)

    Nirav R Shah

    Full Text Available BACKGROUND: Obesity is a serious disease that is associated with an increased risk of diabetes, hypertension, heart disease, stroke, and cancer, among other diseases. The United States Centers for Disease Control and Prevention (CDC estimates a 20% obesity rate in the 50 states, with 12 states having rates of over 30%. Currently, the body mass index (BMI is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment. In this study, we examine the effectiveness of precise biomarkers and duel-energy x-ray absorptiometry (DXA to help diagnose and treat obesity. METHODOLOGY/PRINCIPAL FINDINGS: A cross-sectional study of adults with BMI, DXA, fasting leptin and insulin results were measured from 1998-2009. Of the participants, 63% were females, 37% were males, 75% white, with a mean age = 51.4 (SD = 14.2. Mean BMI was 27.3 (SD = 5.9 and mean percent body fat was 31.3% (SD = 9.3. BMI characterized 26% of the subjects as obese, while DXA indicated that 64% of them were obese. 39% of the subjects were classified as non-obese by BMI, but were found to be obese by DXA. BMI misclassified 25% men and 48% women. Meanwhile, a strong relationship was demonstrated between increased leptin and increased body fat. CONCLUSIONS/SIGNIFICANCE: Our results demonstrate the prevalence of false-negative BMIs, increased misclassifications in women of advancing age, and the reliability of gender-specific revised BMI cutoffs. BMI underestimates obesity prevalence, especially in women with high leptin levels (>30 ng/mL. Clinicians can use leptin-revised levels to enhance the accuracy of BMI estimates of percentage body fat when DXA is unavailable.

  7. Body mass index versus percentage body fat in Chinese, African-American and Caucasian postmenopausal women

    Institute of Scientific and Technical Information of China (English)

    Sun Ai-jun; He Qing; Lin Shou-qing; Tian Jun-ping; Stan He-shka; Jack Wang; Steven Heymsfield; Richard N. Pierson; Dympna Gallagher

    2006-01-01

    Objective: The aim of the study was to investigate in postmenopausal women whether the relationship between percentage body fat (PBF) and body mass index (BMI) differs between Asians living in Beijing (BA) and African-Americans (AA), and Caucasians (Ca) living in New York City.Methods: Healthy postmenopausal women (231 BA; 113 AA, 95 Ca), aged 50-80 years, were studied. Weight, height and PBF by dual energy X-ray absorptiometry (DXA) were measured. The relationship between PBF and BMI was assessed by multiple regression analysis. Results: Race, reciprocal of BMI (1/BMI) and the interaction between race and 1/BMI were all significantly (P<0.05) related to PBF in this sample. The slope of the line relating 1/BMI to PBF was different for BA compared to AA (P=0.01) and Ca (P=0.003) while the slopes for AA and Ca were not different (P>0.05). At lower levels of BMI, Asians tended to have higher PBF comparable to AA and Ca, while at BMI >30 BA tended to have less PBF than the other groups. Conclusion: The relation between PBF and BMI in BA postmenopausal women differs from that of AA and Ca women in this sample.

  8. Interaction of clothing and body mass index affects validity of air displacement plethysmography in adults

    Science.gov (United States)

    Objective: Examine the effect of alternate clothing schemes on validity of Bod Pod to estimate percent body fat (BF) compared to dual x-ray absorptiometry (DXA), and determine if these effects differ by body mass index (BMI). Design: Cross-sectional Subjects: 132 healthy adults aged 19-81 classifi...

  9. Zygosity Differences in Height and Body Mass Index of Twins From Infancy to Old Age

    DEFF Research Database (Denmark)

    Jelenkovic, Aline; Yokoyama, Yoshie; Sund, Reijo

    2015-01-01

    A trend toward greater body size in dizygotic (DZ) than in monozygotic (MZ) twins has been suggested by some but not all studies, and this difference may also vary by age. We analyzed zygosity differences in mean values and variances of height and body mass index (BMI) among male and female twins...

  10. BODY MASS INDEX AND WAIST CIRCUMFERENCE IN GREEK ADULTS

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    Mavrovounioti, Chr.

    2009-03-01

    Full Text Available The aim of the present study was to investigate overweight and obesity, in Greek adults. In the presentstudy, 110 men and women, 19- to 60 years old, took part. Measurements of subject’s height, body weight, andwaist circumference (WC were performed. BMI was used for the evaluation of the degree of overweight andobesity and WC for the evaluation of the degree of central obesity, according to the values for adults set byWorld Health Organisation (WHO. For the statistical analysis the statistic packet SPSS/PC version 12.0 forwindows was used. From data statistical analysis, it was found out that men had BMI 24.94+3.22 kg/m2 and WC90.78+13.24cm, while women had BMI 22.99+4.75 kg/m2 and WC 80.64+11.19cm. T-tests showed that theobserved differences between men and women in both BMI and WC were significant (t=2.51, p<0.05 andt=4.34, p<0.001, respectively. Additionally, it was found out that more than half of the men were overweightand/or obese (51.9%, while approximately the 1/5th of women were overweight and/or obese (21.5%. Chisquaretest showed that sex affects significantly the degree of overweight and obesity (x2=18.14, p<0.001.Moreover, men presented central obesity to a percentage of 11.1%, while women presented central obesity to a smaller percentage (3.60%. Consequently, in the present study, there were observed high percentages of overweight and obesity, as well as of central obesity, especially on men. Thus, a combination of an exercise program with a balanced diet is suggested in order to lead to a normal body weight and normal abdominal fat quantity for an enhanced quality of life without health disorders due to obesity.

  11. Effect of maternal body mass index on pregnancy outcome and newborn weight

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    Yazdani Shahla

    2012-01-01

    Full Text Available Abstract Background Maternal obesity has been associated with adverse pregnancy outcomes, such as pre-eclampsia, eclampsia, pre- and post-term delivery, induction of labor, macrosomia, increased rate of caesarean section, and post-partum hemorrhage. The objective of this study was to determine the effect of maternal Body Mass Index (BMI on pregnancy outcomes. Methods 1000 pregnant women were enrolled in the study. In order to explore the relationship between maternal first trimester Body Mass Index and pregnancy outcomes, participants were categorized into five groups based on their first trimester Body Mass Index. The data were analyzed using Pearson Chi-square tests in SPSS 18. Differences were considered significant if p Results Women with an above-normal Body Mass Index had a higher incidence of pre-eclampsia, induction of labor, caesarean section, pre-term labor, and macrosomia than women with a normal Body Mass Index (controls. There was no significant difference in the incidence of post-term delivery between the control group and other groups. Conclusion Increased BMI increases the incidence of induction of labor, caesarean section, pre-term labor and macrosomia. The BMI of women in the first trimester of pregnancy is associated with the risk of adverse pregnancy outcome.

  12. PERCENT FAT MASS AND BODY MASS INDEX AS CARDIORESPIRATORY FITNESS PREDICTORS IN YOUNG ADULTS

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    Mira Dewi

    2016-04-01

    Full Text Available ABSTRACTThe present study aimed to analyze the association between body fatness measures, i.e. body mass index (BMI and percent fat mass (% FM with cardiorespiratory fitness (CRF in young adults. Seventy five undergraduate students aged 19-21 years were included in this cross sectional study. Body composition was assessed by tetra polar Bioelectrical Impedance Analysis method, and CRF was determined as VO2 max level by conducting Balke test and flexibility by sit-and-reach test. Regression tests were performed to assess the associations between the body fatness measures and CRF. The mean (SD % FM and BMI were 25.6 (8.3 % and 22.4 (4.2 kg/m2, respectively. Both BMI and % FM were inversely associated with VO2 max and flexibility. The associations of % FM with each CRF measure were stronger (% FM-VO2 max: R2=0.45, p<0.0001; % FM-flexibility: R2=0.16, p<0.0001 than those of BMI (BMI-VO2 max: R2= 0.12, p=0.002; BMI-flexibility: R2=0.07, p<0.0001. Including gender as a variable predictor greatly improved almost all associations. We suggest that %FM is a better predictor for VO2max than BMI. Further studies are needed to elucidate the relationships of body fatness measures adjusted for potential confounding factors with CRF measures other than VO2 max.Keywords: body mass index, cardiorespiratory fitness, percent fat massABSTRAKPenelitian ini bertujuan untuk menentukan hubungan antara persentase lemak tubuh (PLT dan indeks massa tubuh (IMT dengan kebugaran kardiorespiratorik (KKR pada dewasa muda. Penelitian menggunakan desain potong lintang dengan melibatkan 75 orang mahasiswa usia 19-21 tahun. PLT ditentukan dengan metode tetra polar Bioelectrical Impedance dan KKR ditentukan dengan VO2max berdasarkan uji Balke dan fleksibilitas dengan uji sit-and-reach. Hubungan antara PLT dan IMT dengan KKR dianalisis dengan uji regresi. Rata-rata (standar deviasi dari PLT dan IMT berturut-turut adalah 25,6 (8,3% dan 22,4 (4,2 kg/m2. Baik PLT maupun IMT berbanding

  13. Obesity classification in military personnel: A comparison of body fat, waist circumference, and body mass index measurements

    Science.gov (United States)

    The purpose of this study was to evaluate obesity classifications from body fat percentage (BF%), body mass index (BMI), and waist circumference (WC). A total of 451 overweight/obese active duty military personnel completed all three assessments. Most were obese (men, 81%; women, 98%) using National...

  14. Female body dissatisfaction after exposure to overweight and thin media images : The role of body mass index and neuroticism

    NARCIS (Netherlands)

    Dalley, Simon E.; Buunk, Abraham P.; Umit, Turul

    2009-01-01

    Exposure to thin media images is thought to play a significant role in the development of body image dissatisfaction (BID) amongst females. In this study we examined whether individual differences in body mass index (BMI) and neuroticism can make females more vulnerable to BID upon exposure to overw

  15. The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore

    NARCIS (Netherlands)

    Deurenberg-Yap, M.; Schmidt, G.; Staveren, van W.A.; Deurenberg, P.

    2000-01-01

    To study the relationship between body fat percentage and body mass index (BMI) in three different ethnic groups in Singapore (Chinese, Malays and Indians) in order to evaluate the validity of the BMI cut-off points for obesity. DESIGN: Cross-sectional study. SUBJECTS: Two-hundred and ninety-one sub

  16. The validity of predicted body fat percent from body mass index and from impedance in samples of five European populations

    NARCIS (Netherlands)

    Deurenberg, P.; Andreoli, A.; Borg, P.; Kukkonen-Harjula, K.; Lorenzo, de A.; Marken Lichtenbelt, van W.; Testolin, G.; Vigano, R.; Vollaard, N.

    2001-01-01

    Objectives: To test and compare the validity of a body mass index (BMI)-based prediction equation and an impedance-based prediction equation for body fat percentage among various European population groups. Design: Cross-sectional observational study. Settings: The study was performed in five differ

  17. Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship

    NARCIS (Netherlands)

    Deurenberg, P.; Deurenberg-Yap, M.; Guricci, S.

    2002-01-01

    The objective was to study the relationship between body mass index (BMI) and body fat per cent (BF%) in different population groups of Asians. The study design was a literature overview with special attention to recent Asian data. Specific information is provided on Indonesians (Malays and Chinese

  18. Body mass index, waist circumference, body adiposity index, and risk for type 2 diabetes in two populations in Brazil: general and Amerindian.

    Directory of Open Access Journals (Sweden)

    Rafael de Oliveira Alvim

    Full Text Available The use of the anthropometric indices of adiposity, especially body mass index and waist circumference in the prediction of diabetes mellitus has been widely explored. Recently, a new body composition index, the body adiposity index was proposed. The aim of this study was to compare the effectiveness of body mass index, waist circumference, and body adiposity index in the risk assessment for type 2 diabetes mellitus.A total of 1,572 individuals from the general population of Vitoria City, Brazil and 620 Amerindians from the Aracruz Indian Reserve, Brazil were randomly selected. BMI, waist circumference, and BAI were determined according to a standard protocol. Type 2 diabetes mellitus was diagnosed by the presence of fasting glucose ≥126 mg/dL or by the use of antidiabetic drugs.The area under the curve was similar for all anthropometric indices tested in the Amerindian population, but with very different sensitivities or specificities. In women from the general population, the area under the curve of waist circumference was significantly higher than that of the body adiposity index. Regarding risk assessment for type 2 diabetes mellitus, the body adiposity index was a better risk predictor than body mass index and waist circumference in the Amerindian population and was the index with highest odds ratio for type 2 diabetes mellitus in men from the general population, while in women from the general population waist circumference was the best risk predictor.Body adiposity index was the best risk predictor for type 2 diabetes mellitus in the Amerindian population and men from the general population. Our data suggest that the body adiposity index is a useful tool for the risk assessment of type 2 diabetes mellitus in admixture populations.

  19. [Body height, body weight and body mass index of German military recruits. Historical retrospect and current status].

    Science.gov (United States)

    Jaeger, U; Zellner, K; Kromeyer-Hauschild, K; Lüdde, R; Eisele, R; Hebebrand, J

    2001-09-01

    Surveys of conscripts give a chance to pursue the somatic development and the nourishment situation of young men over long times. At the beginning a historical view is given of the organization and methodological basis of medical examinations of German recruits since the introduction of the general conscription at the beginning of the 19th century. Secular changes of the body height are sketched out for selected regions of Germany until the middle of the 20th century. Data of the body weight hardly exist for this time. Until now the greatest continuous documentation of data for body height and body weight is available for West Germany since 1957 and for East Germany between 1973 and the reunion in 1989. The body height of German conscripts has nearly permanently increased since 1957 and reached in 1994 a maximum with 180.0 cm. In general East German conscripts have body height data which are smaller on an average than those of West German conscripts. But in the last years a catch-up in body height could be seen. The body weight of German conscripts also shows an increase apart from some short-time exceptions. The data of West German conscripts are also higher than those of the East German conscripts. Until the reunion the West-East-differences could partly be due to the different mustering age. But the differences also continue in the nineties despite the now identical mustering age. The Body Mass Index (BMI) of the German conscripts (calculated from the average values of body height and body weight) is characterized by increments in the last years. This indicates greater changes in body weight than in body height. The BMI also shows marked West-East-differences. There is no uniform tendency in differences between urban and country side regions for body height and body weight. On the other hand until now differences between selected professional groups are existing. Especially the over-proportional increase of the number of conscripts in the higher body

  20. Associations between family religious practices, internalizing/externalizing behaviors, and body mass index in obese youth.

    Science.gov (United States)

    Limbers, Christine A; Young, Danielle; Bryant, William; Stephen, Matthew

    2015-01-01

    The objective of the present study was to assess the associations among family religious practices, internalizing/externalizing behaviors, and body mass index in a sample of severely obese youth referred to an outpatient pediatric endocrinology clinic. The sample consisted of 43 obese youth (body mass index > 95th percentile) aged 6-16 years (mean age = 12.67 years). Approximately 93% of families endorsed their religious faith as Christian or Catholic. Parents of youth were administered a demographic questionnaire, religiosity questionnaire, and the Child Behavior Checklist. Three multiple linear regression models were examined with body mass index percentile, Child Behavior Checklist Internalizing Scale, and Child Behavior Checklist Externalizing Scale as outcome variables. A parent endorsing greater importance of religious faith in shaping family life was associated with lower child body mass index percentile (p religious services was associated with higher child body mass index percentile (p < 0.05). Our data suggest that church-based interventions may be one viable option for the delivery of lifestyle interventions in families of youth with severe obesity.

  1. National, regional, and global trends in body-mass index since 1980

    DEFF Research Database (Denmark)

    Finucane, Mariel M; Stevens, Gretchen A; Cowan, Melanie J;

    2011-01-01

    Excess bodyweight is a major public health concern. However, few worldwide comparative analyses of long-term trends of body-mass index (BMI) have been done, and none have used recent national health examination surveys. We estimated worldwide trends in population mean BMI.......Excess bodyweight is a major public health concern. However, few worldwide comparative analyses of long-term trends of body-mass index (BMI) have been done, and none have used recent national health examination surveys. We estimated worldwide trends in population mean BMI....

  2. Association of Body Mass Index with Depression, Anxiety and Suicide-An Instrumental Variable Analysis of the HUNT Study.

    Directory of Open Access Journals (Sweden)

    Johan Håkon Bjørngaard

    Full Text Available While high body mass index is associated with an increased risk of depression and anxiety, cumulative evidence indicates that it is a protective factor for suicide. The associations from conventional observational studies of body mass index with mental health outcomes are likely to be influenced by reverse causality or confounding by ill-health. In the present study, we investigated the associations between offspring body mass index and parental anxiety, depression and suicide in order to avoid problems with reverse causality and confounding by ill-health.We used data from 32,457 mother-offspring and 27,753 father-offspring pairs from the Norwegian HUNT-study. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and suicide death from national registers. Associations between offspring and own body mass index and symptoms of anxiety and depression and suicide mortality were estimated using logistic and Cox regression. Causal effect estimates were estimated with a two sample instrument variable approach using offspring body mass index as an instrument for parental body mass index.Both own and offspring body mass index were positively associated with depression, while the results did not indicate any substantial association between body mass index and anxiety. Although precision was low, suicide mortality was inversely associated with own body mass index and the results from the analysis using offspring body mass index supported these results. Adjusted odds ratios per standard deviation body mass index from the instrumental variable analysis were 1.22 (95% CI: 1.05, 1.43 for depression, 1.10 (95% CI: 0.95, 1.27 for anxiety, and the instrumental variable estimated hazard ratios for suicide was 0.69 (95% CI: 0.30, 1.63.The present study's results indicate that suicide mortality is inversely associated with body mass index. We also found support for a positive association between body mass index and depression, but not

  3. Changes in self-reported energy balance behaviours and body mass index during a mass media campaign

    NARCIS (Netherlands)

    Verheijden, M.W.; Dommelen, P. van; Empelen, P. van; Crone, M.R.; Werkman, A.M.; Kesteren, N.M.C. van

    2012-01-01

    Background: Prevention of (serious) overweight can be achieved by means of small behaviour changes in physical activity and/or diet. Objective: To evaluate a mass media campaign promoting energy balance behaviours in a Dutch population. Effects were examined for body mass index (BMI) and five energy

  4. OSTEOPOROSIS RISK AND BODY MASS INDEX COMPARISON AMONG URBAN AND RURAL MENOPAUSAL WOMEN

    Directory of Open Access Journals (Sweden)

    Vita Muniarti Tarawan

    2015-03-01

    Full Text Available Objective: To compare osteoporosis risk factors between urban and rural menopausal women. Methods: This study applied the causal-comparative analysis to compare osteoporosis risk factors between urban and rural menopausal women. The subjects included in this study were 40 urban and 40 rural menopausal women who were randomly recruited. The respondents’ bone mass density was measured using densitometry. This study also examined several aspects, including the respondents’ nutritional status (body mass index calculation and physical fitness (VO2 max. The correlation between osteoporosis risk and either nutritional status or physical fitness among urban and rural menopausal women were tested using Chi square correlation analysis. Results: This study examined several aspects, including age (years 58.7±6.1 (urban and 58.3±6.5 (rural, p=0.815, body mass index (kg/m2 23.7±3.7 (urban and 22.7±3.6 (rural, p=0.221, VO2 max (average 27 (67.5% (urban and 25 (62.5% (rural, p=0.624. The respondents diagnosed as suffering from osteoporosis were statistically measured for the: nutritional status (body mass index (under urban 0%, rural (p=0.789 2.5%, body mass index 7.5% urban, rural (p=0.571 2.5%, physical fitness condition (VO2 max (average urban 7.5%, rural (p=0.850 5%, VO2 max (poor urban 7.5%, rural (p=0.880 5%. Body mass index and bone mass density calculation results described that the nutritional status of urban and rural menopausal women: normal 12 (30% vs (32.5%, osteopenia 8 (20% vs (15%, osteoporosis 3 (7.5% vs (2.5, p=0.571. Conclusions: This study shows that there is no significant difference between osteoporosis risk and nutritional status and physical fitness in urban and rural menopausal women.

  5. Waist circumference and body mass index as predictors of health care costs

    DEFF Research Database (Denmark)

    Højgaard, Betina; Gyrd-Hansen, Dorte; Olsen, Kim Rose

    2008-01-01

    BACKGROUND: In the present study we analyze the relationship between body mass index (BMI) and waist circumference (WC) and future health care costs. On the basis of the relation between these anthropometric measures and mortality, we hypothesized that for all levels of BMI increased WC implies...

  6. Anemia in relation to body mass index and waist circumference among chinese women

    NARCIS (Netherlands)

    Qin, Y.; Boonstra, A.; Pan, X.; Dai, Y.C.; Zhao, J.; Zimmerman, M.B.; Kok, F.J.

    2013-01-01

    Background: This study aimed to investigate the relationship of anemia and body mass index among adult women in Jiangsu Province, China. Data were collected in a sub-national cross-sectional survey, and 1,537 women aged 20 years and above were included in the analyses. Subjects were classified by bo

  7. Does body mass index and position of impacted lower third molar affect the postoperative pain intensity?

    Science.gov (United States)

    Matijević, Marko; Uzarević, Zvonimir; Gvozdić, Vlatka; Leović, Dinko; Ivanisević, Zrinka; Matijević-Mikelić, Valentina; Bogut, Irella; Vcev, Aleksandar; Macan, Darko

    2012-12-01

    The main objective of this study was to determine to which extent body mass index and position of impacted lower third molar was affecting the pain intensity in the first seven postoperative days. The study was conducted following the extraction of the lower third molar in 108 patients. Depending on the type of information given to each particular patient, the patients were divided in two groups: the test group where patients were given detailed standard written and verbal instructions and the control group which received only standard written instructions about treatment after surgery. Using canonical discriminant analysis we investigated the influence of body mass index and the position of impacted lower third molar on postoperative pain intensity in two groups of patients. Results of this study showed that the body mass index or the tooth position did not have influence on intensity of postoperative pain. The body mass index and the position of impacted lower third molar do not affect the postoperative pain intensity.

  8. A meta-analysis of the association of fracture risk and body mass index in women

    NARCIS (Netherlands)

    Johansson, Helena; Kanis, John A; Odén, Anders; McCloskey, Eugene; Chapurlat, Roland D; Christiansen, Claus; Cummings, Steve R; Diez-Perez, Adolfo; Eisman, John A; Fujiwara, Saeko; Glüer, Claus-C; Goltzman, David; Hans, Didier; Khaw, Kay-Tee; Krieg, Marc-Antoine; Kröger, Heikki; LaCroix, Andrea Z; Lau, Edith; Leslie, William D; Mellström, Dan; Melton, L Joseph; O'Neill, Terence W; Pasco, Julie A; Prior, Jerilynn C; Reid, David M; Rivadeneira, Fernando; van Staa, Tjerd; Yoshimura, Noriko; Zillikens, M Carola; van Staa, Tjeerd

    2014-01-01

    Several recent studies suggest that obesity may be a risk factor for fracture. The aim of this study was to investigate the association between body mass index (BMI) and future fracture risk at different skeletal sites. In prospective cohorts from more than 25 countries, baseline data on BMI were av

  9. A Comparison of Blood Pressure, Body Mass Index, and Acanthosis Nigricans in School-Age Children

    Science.gov (United States)

    Otto, Debra E.; Wang, Xiaohui; Tijerina, Sandra L.; Reyna, Maria Elena; Farooqi, Mohammad I.; Shelton, Margarette L.

    2010-01-01

    The purpose of this retrospective quantitative study was to examine the relationships among acanthosis nigricans (AN), body mass index (BMI), blood pressure (BP), school grade, and gender in children attending elementary school located in South West Texas. Data were collected by attending school district nurses. Researchers reviewed 7,026…

  10. Trends in adult body-mass index in 200 countries from 1975 to 2014

    DEFF Research Database (Denmark)

    Di Cesare, Mariachiara; Bentham, James; Stevens, Gretchen A;

    2016-01-01

    BACKGROUND: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults...

  11. Modulation of genetic associations with serum urate levels by body-mass-index in humans

    NARCIS (Netherlands)

    J.E. Huffman (Jennifer); E. Albrecht (Eva); A. Teumer (Alexander); M. Mangino (Massimo); K. Kapur (Karen); T. Johnson (Toby); Z. Kutalik (Zoltán); N. Pirastu (Nicola); G. Pistis (Giorgio); L.M. Lopez (Lorna); T. Haller (Toomas); P. Salo (Perttu); A. Goel (Anuj); M. Li (Man); T. Tanaka (Toshiko); A. Dehghan (Abbas); D. Ruggiero; G. Malerba (Giovanni); A.V. Smith (Albert Vernon); Nolte, I.M. (Ilja M.); L. Portas (Laura); Phipps-Green, A. (Amanda); Boteva, L. (Lora); P. Navarro (Pau); A. Johansson (Åsa); A.A. Hicks (Andrew); O. Polasek (Ozren); T. Esko (Tõnu); J. Peden (John); S.E. Harris (Sarah); D. Murgia (Daniela); Wild, S.H. (Sarah H.); A. Tenesa (Albert); A. Tin (Adrienne); E. Mihailov (Evelin); A. Grotevendt (Anne); G.K. Gislason; J. Coresh (Josef); P. d' Adamo (Pio); S. Ulivi (Shelia); P. Vollenweider (Peter); G. Waeber (Gérard); Campbell, S. (Susan); I. Kolcic (Ivana); Fisher, K. (Krista); M. Viigimaa (Margus); Metter, J.E. (Jeffrey E.); C. Masciullo (Corrado); Trabetti, E. (Elisabetta); Bombieri, C. (Cristina); R. Sorice; A. Döring (Angela); G. Reischl (Gunilla); K. Strauch (Konstantin); A. Hofman (Albert); A.G. Uitterlinden (André); M. Waldenberger (Melanie); H.E. Wichmann (Heinz Erich); G. Davies (Gail); A.J. Gow (Alan J.); Dalbeth, N. (Nicola); Stamp, L. (Lisa); Smit, J.H. (Johannes H.); M. Kirin (Mirna); R. Nagaraja (Ramaiah); M. Nauck (Matthias); C. Schurmann (Claudia); K. Budde (Klemens); S.M. Farrington (Susan); E. Theodoratou (Evropi); A. Jula (Antti); V. Salomaa (Veikko); C. Sala (Cinzia); C. Hengstenberg (Christian); M. Burnier (Michel); Mägi, R. (Reedik); N. Klopp (Norman); S. Kloiber (Stefan); S. Schipf (Sabine); S. Ripatti (Samuli); Cabras, S. (Stefano); N. Soranzo (Nicole); G. Homuth (Georg); T. Nutile; P. Munroe (Patricia); N. Hastie (Nick); H. Campbell (H.); I. Rudan (Igor); Cabrera, C. (Claudia); Haley, C. (Chris); O.H. Franco (Oscar); Merriman, T.R. (Tony R.); V. Gudnason (Vilmundur); M. Pirastu (Mario); B.W.J.H. Penninx (Brenda); H. Snieder (Harold); A. Metspalu (Andres); M. Ciullo; P.P. Pramstaller (Peter Paul); C.M. van Duijn (Cock); L. Ferrucci (Luigi); G. Gambaro (Giovanni); Deary, I.J. (Ian J.); M.G. Dunlop (Malcolm); J.F. Wilson (James F); P. Gasparini (Paolo); U. Gyllensten (Ulf); T.D. Spector (Timothy); A.F. Wright (Alan); C. Hayward (Caroline); H. Watkins (Hugh); M. Perola (Markus); M. Bochud (Murielle); W.H.L. Kao (Wen); M. Caulfield (Mark); D. Toniolo (Daniela); H. Völzke (Henry); C. Gieger (Christian); A. Köttgen (Anna); V. Vitart (Veronique)

    2015-01-01

    textabstractWe tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in

  12. Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans

    NARCIS (Netherlands)

    Huffman, Jennifer E.; Albrecht, Eva; Teumer, Alexander; Mangino, Massimo; Kapur, Karen; Johnson, Toby; Kutalik, Zoltn; Pirastu, Nicola; Pistis, Giorgio; Lopez, Lorna M.; Haller, Toomas; Salo, Perttu; Goel, Anuj; Li, Man; Tanaka, Toshiko; Dehghan, Abbas; Ruggiero, Daniela; Malerba, Giovanni; Smith, Albert V.; Nolte, Ilja M.; Portas, Laura; Phipps-Green, Amanda; Boteva, Lora; Navarro, Pau; Johansson, Asa; Hicks, Andrew A.; Polasek, Ozren; Esko, Tonu; Peden, John F.; Harris, Sarah E.; Murgia, Federico; Wild, Sarah H.; Tenesa, Albert; Tin, Adrienne; Mihailov, Evelin; Grotevendt, Anne; Gislason, Gauti K.; Coresh, Josef; D'Adamo, Pio; Ulivi, Sheila; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Kolcic, Ivana; Fisher, Krista; Viigimaa, Margus; Metter, Jeffrey E.; Masciullo, Corrado; Trabetti, Elisabetta; Bombieri, Cristina; Sorice, Rossella; Doering, Angela; Reischl, Eva; Strauch, Konstantin; Hofman, Albert; Uitterlinden, Andre G.; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J.; Dalbeth, Nicola; Stamp, Lisa; Smit, Johannes H.; Kirin, Mirna; Nagaraja, Ramaiah; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Farrington, Susan M.; Theodoratou, Evropi; Jula, Antti; Salomaa, Veikko; Sala, Cinzia; Hengstenberg, Christian; Burnier, Michel; Maegi, Reedik; Klopp, Norman; Kloiber, Stefan; Schipf, Sabine; Ripatti, Samuli; Cabras, Stefano; Soranzo, Nicole; Homuth, Georg; Nutile, Teresa; Munroe, Patricia B.; Hastie, Nicholas; Campbell, Harry; Rudan, Igor; Cabrera, Claudia; Haley, Chris; Franco, Oscar H.; Merriman, Tony R.; Gudnason, Vilmundur; Pirastu, Mario; Penninx, Brenda W.; Snieder, Harold; Metspalu, Andres; Ciullo, Marina; Pramstaller, Peter P.; van Duijn, Cornelia M.; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J.; Dunlop, Malcolm G.; Wilson, James F.; Gasparini, Paolo; Gyllensten, Ulf; Spector, Tim D.; Wright, Alan F.; Hayward, Caroline; Watkins, Hugh; Perola, Markus; Bochud, Murielle; Kao, W. H. Linda; Caulfield, Mark; Toniolo, Daniela; Voelzke, Henry; Gieger, Christian; Koettgen, Anna; Vitart, Veronique

    2015-01-01

    We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-s

  13. Body Mass Index, Nutrient Intakes, Health Behaviours and Nutrition Knowledge: A Quantile Regression Application in Taiwan

    Science.gov (United States)

    Chen, Shih-Neng; Tseng, Jauling

    2010-01-01

    Objective: To assess various marginal effects of nutrient intakes, health behaviours and nutrition knowledge on the entire distribution of body mass index (BMI) across individuals. Design: Quantitative and distributional study. Setting: Taiwan. Methods: This study applies Becker's (1965) model of health production to construct an individual's BMI…

  14. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.; Justice, Anne E.; Pers, Tune H.; Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltan; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Asa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stancakova, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loic; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Arnlov, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blueher, Matthias; Bohringer, Stefan; Bonnycastle, Lori L.; Boettcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Joergen; Grallert, Harald; Grammer, Tanja B.; Graessler, Jurgen; Gronberg, Henrik; Groves, Christopher J.; Gusto, Gaeelle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Qinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Asa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindstrom, Jaana; Lo, Ken Sin; Lobbens, Stephane; Lorbeer, Roberto; Lu, Yingchang; Mach, Francois; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Mueller, Gabriele; Mueller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Noethen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundstrom, Johan; Swertz, Morris A.; Swift, Amy J.; Syvanen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wrightl, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gadin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van 't Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrieres, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hypponen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Joeckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Le Marchand, Laic; Lehtimaki, Terho; Lyssenko, Valeriya; Mannisto, Satu; Marette, Andre; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramines, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Toenjes, Anke; Tregouet, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Voelker, Uwe; Waeber, Gerard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stephane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; Maerz, Winfried; Melbve, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njolstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Perusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnu R.; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, Andre G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O'Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijri, Cornelia M.; Abecasis, Goncalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, Andre; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Ines; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.; Peeters, P; Broekmans, FJM; van Gils, CH; van der Schouw, YT; Fauser, BCJM; Uiterwaal, C.S.P.M.; Bots, Michael L

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224 individuals

  15. Interactions between dietary vitamin E intake and SIRT1 genetic variation influence body mass index

    NARCIS (Netherlands)

    M.C. Zillikens (Carola); J.B.J. van Meurs (Joyce); F. Rivadeneira Ramirez (Fernando); A. Hofman (Albert); B.A. Oostra (Ben); E.J.G. Sijbrands (Eric); J.C.M. Witteman (Jacqueline); H.A.P. Pols (Huib); P. Tikka-Kleemola (Päivi); A.G. Uitterlinden (André)

    2010-01-01

    textabstractBackground: Genetic variation in SIRT1 has been associated with body mass index (BMI) and risk of obesity. SIRT1 may be influenced by diet. Objective: We studied the gene-diet interaction on BMI at the SIRT1 locus. Design: In 4575 elderly men and women in the population-based Rotterdam S

  16. Relationships between Illicit Drug Use and Body Mass Index among Adolescents

    Science.gov (United States)

    Blackstone, Sarah R.; Herrmann, Lynn K.

    2016-01-01

    Prior research has established associations between body mass index (BMI) and use of alcohol, tobacco, and marijuana. However, little research has been done investigating the relationship between other common illicit drugs and BMI trends. The present study investigated whether adolescents who reported using illicit drugs showed differences in BMI…

  17. Changes in parathyroid hormone, body mass index and the association with mortality in dialysis patients

    NARCIS (Netherlands)

    C. Drechsler; D.C. Grootendorst; E.W. Boeschoten; R.T. Krediet; C. Wanner; F.W. Dekker

    2011-01-01

    Obesity is associated with secondary hyperparathyroidism in the general population. It is unknown whether body mass index (BMI) affects parathyroid hormone (PTH) level and its association with mortality in dialysis patients. From a prospective cohort study of incident dialysis patients in the Nether

  18. The effect of gastric band slippage on patient body mass index and quality of life.

    LENUS (Irish Health Repository)

    Sahebally, Shaheel M

    2012-05-01

    Laparoscopic adjustable gastric banding (LAGB) is a popular surgical procedure for the management of morbid obesity. Gastric band slippage (GBS) is the most common long-term complication. In this study, the effect of GBS on body mass index (BMI) and quality of life (QOL) were assessed.

  19. Childhood body mass index in relation to future risk of oesophageal adenocarcinoma

    DEFF Research Database (Denmark)

    Cook, M B; Freedman, N D; Gamborg, M;

    2015-01-01

    BACKGROUND: Middle-aged obese adults are at substantially elevated risk of oesophageal adenocarcinoma. It is unclear whether this risk originates earlier in life. METHODS: We assessed associations between childhood body mass index (BMI) and height-measured annually between ages 7 and 13-with adul...

  20. Child Disinhibition, Parent Restriction, and Child Body Mass Index in Low-Income Preschool Families

    Science.gov (United States)

    Sparks, Martha A.; Radnitz, Cynthia L.

    2013-01-01

    Objective: To examine both unique and interactive effects of parent restrictive feeding and child disinhibited eating behavior on child body mass index (BMI) in low-income Latino and African American preschoolers. Methods: The sample included 229 parent-child pairs, the majority of whom were low-income and Latino (57%) or African American (25%).…

  1. Genetic and environmental effects on body mass index from infancy to the onset of adulthood

    DEFF Research Database (Denmark)

    Silventoinen, Karri; Jelenkovic, Aline; Sund, Reijo

    2016-01-01

    Background: Both genetic and environmental factors are known to affect body mass index (BMI), but detailed understanding of how their effects differ during childhood and adolescence is lacking. Objectives: We analyzed the genetic and environmental contributions to BMI variation from infancy to ea...

  2. Twin's Birth-Order Differences in Height and Body Mass Index From Birth to Old Age

    DEFF Research Database (Denmark)

    Yokoyama, Yoshie; Jelenkovic, Aline; Sund, Reijo

    2016-01-01

    We analyzed birth order differences in means and variances of height and body mass index (BMI) in monozygotic (MZ) and dizygotic (DZ) twins from infancy to old age. The data were derived from the international CODATwins database. The total number of height and BMI measures from 0.5 to 79.5 years ...

  3. Measurement and Interpretation of Body Mass Index during Childhood and Adolescence

    Science.gov (United States)

    Malone, Susan Kohl; Zemel, Babette S.

    2015-01-01

    The landscape of childhood health and disease has changed over the past century, and school nurses are now in a unique position to address the conditions that lead to chronic disease, such as obesity. Measuring body mass index (BMI) during childhood and adolescence is the recommended method for screening and/or monitoring obesity in school…

  4. Ethnic Differences in Eating Disorder Symptoms among College Students: The Confounding Role of Body Mass Index.

    Science.gov (United States)

    Arriaza, Cecilia A.; Mann, Traci

    2001-01-01

    Explored the role of body mass index (BMI) in eating disorders among Hispanic, Asian American, and non-Hispanic white female college students. Data from student surveys indicated that after controlling for BMI, ethnic differences in eating disorder symptoms of concern about weight and shape disappeared, but differences in restrained eating…

  5. Sleep Quality and Body Mass Index in College Students: The Role of Sleep Disturbances

    Science.gov (United States)

    Vargas, Perla A.; Flores, Melissa; Robles, Elias

    2014-01-01

    Objective: Obesity and its comorbidities have emerged as a leading public health concern. The aim of this study was to explore the relationship between body mass index (BMI) and sleep patterns, including duration and disturbances. Methods: A convenience sample of 515 college students completed an online survey consisting of the Pittsburgh Sleep…

  6. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools

    NARCIS (Netherlands)

    Wijnhoven, T.M.A.; Raaij, van J.M.A.; Sjöberg, A.; Eldin, N.; Yngve, A.; Kunesova, M.; Stare, G.; Rito, A.I.; Duleva, V.; Hassapidou, M.; Martos, E.; Pudule, I.; Petrauskiene, A.; Farrugia Sant Angelo, V.; Hovengen, R.; Breda, J.

    2014-01-01

    Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. Meth

  7. Plasma surfactant protein D levels and the relation to body mass index in a chinese population

    DEFF Research Database (Denmark)

    Zhao, X M; Wu, Y P; Wei, R;

    2007-01-01

    , and no significant effect of age, and (iii) a significant inverse association between serum SP-D and body mass index (BMI) (P = 0.012). The data indicate that racial differences in SP-D expression exist as the median plasma SP-D in the Chinese population was approximately two times lower than the median serum SP...

  8. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Ida Chen, Yii-Der; Clarke, Robert; Warwick Daw, E; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Sin Lo, Ken; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Vernon Smith, Albert; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; Van't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Adrienne Cupples, L; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Kees Hovingh, G; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Wouter Jukema, J; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Eline Slagboom, P; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individual

  9. Stereology of human myometrium in pregnancy: influence of maternal body mass index and age.

    LENUS (Irish Health Repository)

    Sweeney, Eva M

    2013-04-01

    Knowledge of the stereology of human myometrium in pregnancy is limited. Uterine contractile performance may be altered in association with maternal obesity and advanced maternal age. The aim of this study was to investigate the stereology of human myometrium in pregnancy, and to evaluate a potential influence of maternal body mass index (BMI) and age.

  10. Body Mass Index and the Use of the Internet for Health Information

    Science.gov (United States)

    Faith, Jennifer; Thorburn, Sheryl; Smit, Ellen

    2016-01-01

    Objective: Individuals who experience or anticipate negative interactions from medical providers related to conditions such as obesity may preferentially use the Internet for health information. Our objectives in this study were to (1) examine the association between body mass index (BMI) and Internet health information-seeking and (2) examine…

  11. School Social Capital and Body Mass Index in the National Longitudinal Study of Adolescent Health

    Science.gov (United States)

    Richmond, Tracy K.; Milliren, Carly; Walls, Courtney E.; Kawachi, Ichiro

    2014-01-01

    Background: Social capital in neighborhoods and workplaces positively affects health. Less is known about the influence of school social capital on student health outcomes, in particular weight status. We sought to examine the association between individual- and school-level social capital and student body mass index (BMI). Methods: Analyzing data…

  12. The Association between Short Sleep Duration and Body Mass Index among South Korean Children and Adolescents

    Science.gov (United States)

    Park, Sunhee

    2013-01-01

    This study aims to examine the relationship between sleep duration and body mass index (BMI) in two South Korean samples: children and adolescents. Nationally representative secondary data (i.e., the Korean Survey on the Obesity of Youth and Children) collected in 2009 were analyzed ("N" = 2,499 for children and "N" = 7,431 for…

  13. Changes in body mass index in long-term childhood cancer survivors

    NARCIS (Netherlands)

    van Santen, HM; Geskus, Ronald B; Raemaekers, Steven; van Trotsenburg, A S Paul; Vulsma, Thomas; van der Pal, Helena J H; Caron, Hubert N; Kremer, Leontien C M

    2015-01-01

    BACKGROUND: Previous studies have reported changes in the body mass index (BMI) with time in childhood cancer survivors (CCSs) during follow-up. The limitations of these studies include that they described only a subgroup of survivors or used questionnaires with self-reported heights and weights. Th

  14. Dietary Patterns and Body Mass Index in Children with Autism and Typically Developing Children

    Science.gov (United States)

    Evans, E. Whitney; Must, Aviva; Anderson, Sarah E.; Curtin, Carol; Scampini, Renee; Maslin, Melissa; Bandini, Linda

    2012-01-01

    To determine whether dietary patterns (juice and sweetened non-dairy beverages, fruits, vegetables, fruits and vegetables, snack foods, and kid's meals) and associations between dietary patterns and body mass index (BMI) differed between 53 children with autism spectrum disorders (ASD) and 58 typically developing children, ages 3-11, multivariate…

  15. Child and Adolescent Affective and Behavioral Distress and Elevated Adult Body Mass Index

    Science.gov (United States)

    McClure, Heather H.; Eddy, J. Mark; Kjellstrand, Jean M.; Snodgrass, J. Josh; Martinez, Charles R., Jr.

    2012-01-01

    Obesity rates throughout the world have risen rapidly in recent decades, and are now a leading cause of morbidity and mortality. Several studies indicate that behavioral and affective distress in childhood may be linked to elevated adult body mass index (BMI). The present study utilizes data from a 20-year longitudinal study to examine the…

  16. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    NARCIS (Netherlands)

    Speliotes, Elizabeth K.; Willer, Cristen J.; Berndt, Sonja I.; Monda, Keri L.; Thorleifsson, Gudmar; Jackson, Anne U.; Allen, Hana Lango; Lindgren, Cecilia M.; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Vedantam, Sailaja; Winkler, Thomas W.; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M.; Steinthorsdottir, Valgerdur; Stringham, Heather M.; Weedon, Michael N.; Wheeler, Eleanor; Wood, Andrew R.; Ferreira, Teresa; Weyant, Robert J.; Segre, Ayellet V.; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpelaenen, Tuomas O.; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tonu; Feitosa, Mary F.; Kutalik, Zoltan; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K.; Absher, Devin M.; Amin, Najaf; Dixon, Anna L.; Fisher, Eva; Glazer, Nicole L.; Goddard, Michael E.; Heard-Costa, Nancy L.; Hoesel, Volker; Hottenga, Jouke-Jan; Johansson, Asa; Johnson, Toby; Ketkar, Shamika; Lamina, Claudia; Li, Shengxu; Moffatt, Miriam F.; Myers, Richard H.; Narisu, Narisu; Perry, John R. B.; Peters, Marjolein J.; Preuss, Michael; Ripatti, Samuli; Rivadeneira, Fernando; Sandholt, Camilla; Scott, Laura J.; Timpson, Nicholas J.; Tyrer, Jonathan P.; van Wingerden, Sophie; Watanabe, Richard M.; White, Charles C.; Wiklund, Fredrik; Barlassina, Christina; Chasman, Daniel I.; Cooper, Matthew N.; Jansson, John-Olov; Lawrence, Robert W.; Pellikka, Niina; Prokopenko, Inga; Shi, Jianxin; Thiering, Elisabeth; Alavere, Helene; Alibrandi, Maria T. S.; Almgren, Peter; Arnold, Alice M.; Aspelund, Thor; Atwood, Larry D.; Balkau, Beverley; Balmforth, Anthony J.; Bennett, Amanda J.; Ben-Shlomo, Yoav; Bergman, Richard N.; Bergmann, Sven; Biebermann, Heike; Blakemore, Alexandra I. F.; Boes, Tanja; Bonnycastle, Lori L.; Bornstein, Stefan R.; Brown, Morris J.; Buchanan, Thomas A.; Busonero, Fabio; Campbell, Harry; Cappuccio, Francesco P.; Cavalcanti-Proenca, Christine; Chen, Yii-Der Ida; Chen, Chih-Mei; Chines, Peter S.; Clarke, Robert; Coin, Lachlan; Connell, John; Day, Ian N. M.; den Heijer, Martin; Duan, Jubao; Ebrahim, Shah; Elliott, Paul; Elosua, Roberto; Eiriksdottir, Gudny; Erdos, Michael R.; Eriksson, Johan G.; Facheris, Maurizio F.; Felix, Stephan B.; Fischer-Posovszky, Pamela; Folsom, Aaron R.; Friedrich, Nele; Freimer, Nelson B.; Fu, Mao; Gaget, Stefan; Gejman, Pablo V.; Geus, Eco J. C.; Gieger, Christian; Gjesing, Anette P.; Goel, Anuj; Goyette, Philippe; Grallert, Harald; Graessler, Juergen; Greenawalt, Danielle M.; Groves, Christopher J.; Gudnason, Vilmundur; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hall, Alistair S.; Havulinna, Aki S.; Hayward, Caroline; Heath, Andrew C.; Hengstenberg, Christian; Hicks, Andrew A.; Hinney, Anke; Hofman, Albert; Homuth, Georg; Hui, Jennie; Igl, Wilmar; Iribarren, Carlos; Isomaa, Bo; Jacobs, Kevin B.; Jarick, Ivonne; Jewell, Elizabeth; John, Ulrich; Jorgensen, Torben; Jousilahti, Pekka; Jula, Antti; Kaakinen, Marika; Kajantie, Eero; Kaplan, Lee M.; Kathiresan, Sekar; Kettunen, Johannes; Kinnunen, Leena; Knowles, Joshua W.; Kolcic, Ivana; Koenig, Inke R.; Koskinen, Seppo; Kovacs, Peter; Kuusisto, Johanna; Kraft, Peter; Kvaloy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lanzani, Chiara; Launer, Lenore J.; Lecoeur, Cecile; Lehtimaeki, Terho; Lettre, Guillaume; Liu, Jianjun; Lokki, Marja-Liisa; Lorentzon, Mattias; Luben, Robert N.; Ludwig, Barbara; Manunta, Paolo; Marek, Diana; Marre, Michel; Martin, Nicholas G.; McArdle, Wendy L.; McCarthy, Anne; McKnight, Barbara; Meitinger, Thomas; Melander, Olle; Meyre, David; Midthjell, Kristian; Montgomery, Grant W.; Morken, Mario A.; Morris, Andrew P.; Mulic, Rosanda; Ngwa, Julius S.; Nelis, Mari; Neville, Matt J.; Nyholt, Dale R.; O'Donnell, Christopher J.; O'Rahilly, Stephen; Ong, Ken K.; Oostra, Ben; Pare, Guillaume; Parker, Alex N.; Perola, Markus; Pichler, Irene; Pietilaeinen, Kirsi H.; Platou, Carl G. P.; Polasek, Ozren; Pouta, Anneli; Rafelt, Suzanne; Raitakari, Olli; Rayner, Nigel W.; Ridderstrale, Martin; Rief, Winfried; Ruokonen, Aimo; Robertson, Neil R.; Rzehak, Peter; Salomaa, Veikko; Sanders, Alan R.; Sandhu, Manjinder S.; Sanna, Serena; Saramies, Jouko; Savolainen, Markku J.; Scherag, Susann; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Silander, Kaisa; Sinisalo, Juha; Siscovick, David S.; Smit, Jan H.; Soranzo, Nicole; Sovio, Ulla; Stephens, Jonathan; Surakka, Ida; Swift, Amy J.; Tammesoo, Mari-Liis; Tardif, Jean-Claude; Teder-Laving, Maris; Teslovich, Tanya M.; Thompson, John R.; Thomson, Brian; Toenjes, Anke; Tuomi, Tiinamaija; van Meurs, Joyce B. J.; van Ommen, Gert-Jan; Vatin, Vincent; Viikari, Jorma; Visvikis-Siest, Sophie; Vitart, Veronique; Vogel, Carla I. G.; Voight, Benjamin F.; Waite, Lindsay L.; Wallaschofski, Henri; Walters, G. Bragi; Widen, Elisabeth; Wiegand, Susanna; Wild, Sarah H.; Willemsen, Gonneke; Witte, Daniel R.; Witteman, Jacqueline C.; Xu, Jianfeng; Zhang, Qunyuan; Zgaga, Lina; Ziegler, Andreas; Zitting, Paavo; Beilby, John P.; Farooqi, I. Sadaf; Hebebrand, Johannes; Huikuri, Heikki V.; James, Alan L.; Kaehoenen, Mika; Levinson, Douglas F.; Macciardi, Fabio; Nieminen, Markku S.; Ohlsson, Claes; Palmer, Lyle J.; Ridker, Paul M.; Stumvoll, Michael; Beckmann, Jacques S.; Boeing, Heiner; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Chanock, Stephen J.; Collins, Francis S.; Cupples, L. Adrienne; Smith, George Davey; Erdmann, Jeanette; Froguel, Philippe; Greonberg, Henrik; Gyllensten, Ulf; Hall, Per; Hansen, Torben; Harris, Tamara B.; Hattersley, Andrew T.; Hayes, Richard B.; Heinrich, Joachim; Hu, Frank B.; Hveem, Kristian; Illig, Thomas; Jarvelin, Marjo-Riitta; Kaprio, Jaakko; Karpe, Fredrik; Khaw, Kay-Tee; Kiemeney, Lambertus A.; Krude, Heiko; Laakso, Markku; Lawlor, Debbie A.; Metspalu, Andres; Munroe, Patricia B.; Ouwehand, Willem H.; Pedersen, Oluf; Penninx, Brenda W.; Peters, Annette; Pramstaller, Peter P.; Quertermous, Thomas; Reinehr, Thomas; Rissanen, Aila; Rudan, Igor; Samani, Nilesh J.; Schwarz, Peter E. H.; Shuldiner, Alan R.; Spector, Timothy D.; Tuomilehto, Jaakko; Uda, Manuela; Uitterlinden, Andre; Valle, Timo T.; Wabitsch, Martin; Waeber, Gerard; Wareham, Nicholas J.; Watkins, Hugh; Wilson, James F.; Wright, Alan F.; Zillikens, M. Carola; Chatterjee, Nilanjan; McCarroll, Steven A.; Purcell, Shaun; Schadt, Eric E.; Visscher, Peter M.; Assimes, Themistocles L.; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Groop, Leif C.; Haritunians, Talin; Hunter, David J.; Kaplan, Robert C.; Mohlke, Karen L.; O'Connell, Jeffrey R.; Peltonen, Leena; Schlessinger, David; Strachan, David P.; van Duijn, Cornelia M.; Wichmann, H-Erich; Frayling, Timothy M.; Thorsteinsdottir, Unnur; Abecasis, Goncalo R.; Barroso, Ines; Boehnke, Michael; Stefansson, Kari; North, Kari E.; McCarthy, Mark I.; Hirschhorn, Joel N.; Ingelsson, Erik; Loos, Ruth J. F.

    2010-01-01

    Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and similar to 2.8 million SNPs in up to 123,865 individuals with targeted follow up of

  17. Is risk of degenerative musculoskeletal conditions associated with pre-pregnancy body mass index and parity?

    DEFF Research Database (Denmark)

    Bliddal, Mette; Pottegård, Anton; Kirkegaard, Helene

    Background Obesity among women may influence the risk of degenerative musculoskeletal conditions (MSCs) and contribute to poor quality of life. Parity, which constitutes a sudden natural increase in weight as well it affects long-term body mass index (BMI), may put strain on the musculoskeletal s...

  18. Association between weight or Body Mass Index and hand osteoarthritis: a systematic review

    NARCIS (Netherlands)

    E. Yusuf (Erlangga); R.G.H.H. Nelissen (Rob); A. Ioan-Facsinay (Andreea); V. Stojanovic-Susulic (Vedrana); J. de Groot (Jeroen); G.J.V.M. van Osch (Gerjo); S. Middeldorp (Saskia); T.W.J. Huizinga (Tom); M. Kloppenburg (Margreet)

    2009-01-01

    textabstractObjective: To investigate the association between weight or Body Mass Index (BMI) and the development of hand osteoarthritis (OA). Methods: Systematic review of observational studies. Medical databases were searched up to April 2008. Articles which presented data on the association betwe

  19. Multicenter analysis of body mass index, lung function, and sputum microbiology in primary ciliary dyskinesia

    DEFF Research Database (Denmark)

    Maglione, Marco; Bush, Andrew; Nielsen, Kim G

    2014-01-01

    BACKGROUND: No studies longitudinally, simultaneously assessed body mass index (BMI) and spirometry in primary ciliary dyskinesia (PCD). METHODS: We determined BMI and spirometry in 158 PCD children and adolescents from London, UK (n = 75), Naples, Italy (n = 23) and Copenhagen, Denmark (n = 60) ...

  20. Links between Adolescent Physical Activity, Body Mass Index, and Adolescent and Parent Characteristics

    Science.gov (United States)

    Williams, Susan Lee; Mummery, W. Kerry

    2011-01-01

    Identification of the relationships between adolescent overweight and obesity and physical activity and a range of intrapersonal and interpersonal factors is necessary to develop relevant interventions which target the health needs of adolescents. This study examined adolescent body mass index (BMI) and participation in moderate and vigorous…

  1. Elevated body mass index as a causal risk factor for symptomatic gallstone disease:

    DEFF Research Database (Denmark)

    Stender, Stefan; Nordestgaard, Børge G; Tybjaerg-Hansen, Anne

    2013-01-01

    Elevated body mass index (BMI) is associated with an increased risk of gallstone disease. Whether this reflects a causal association is unknown. Using a Mendelian randomization approach, we studied 77,679 individuals from the general population. Of these, 4,106 developed symptomatic gallstone...

  2. Urinary Triclosan is Associated with Elevated Body Mass Index in NHANES

    OpenAIRE

    Joanna Lankester; Chirag Patel; Mark R Cullen; Catherine Ley; Julie Parsonnet

    2013-01-01

    BACKGROUND: Triclosan-a ubiquitous chemical in toothpastes, soaps, and household cleaning supplies-has the potential to alter both gut microbiota and endocrine function and thereby affect body weight. METHODS: We investigated the relationship between triclosan and body mass index (BMI) using National Health and Nutrition Examination Surveys (NHANES) from 2003-2008. BMI and spot urinary triclosan levels were obtained from adults. Using two different exposure measures-either presence vs. absenc...

  3. Prenatal Cocaine Exposure and Body Mass Index and Blood Pressure at 9 Years of Age

    Science.gov (United States)

    Shankaran, Seetha; Bann, Carla; Bauer, Charles R.; Lester, Barry; Bada, Henrietta; Das, Abhik; Higgins, Rosemary; Poole, Ken; LaGasse, Linda; Hammond, Jane; Woldt, Eunice

    2010-01-01

    Background Prenatal cocaine exposure has been linked to intrauterine growth retardation and poor birth outcomes; little is known about the effects on longer-term medical outcomes, such as overweight status and hypertension in childhood. Our objective was to examine the association between prenatal cocaine exposure and body mass index and blood pressure at 9 years of age among children followed prospectively in a multi-site longitudinal study evaluating the impact of maternal lifestyle during pregnancy on childhood outcome. Design/Methods This analysis includes 880 children (277 cocaine exposed and 603 with no cocaine exposure) with blood pressure, height, and weight measurements at 9 years of age. Regression analyses were conducted to explore the relationship between prenatal cocaine exposure and body mass index and blood pressure at 9 years of age after controlling for demographics, other drug exposure, birth weight, maternal weight, infant postnatal weight gain, and childhood television viewing, exercise and dietary habits at 9 years. Path analyses were used to further explore these relationships. Results At 9 years of age, 15% of the children were pre-hypertensive and 19% were hypertensive; 16% were at risk for overweight status and 21% were overweight. A small percentage of women were exposed to high levels of prenatal cocaine throughout pregnancy. Among children born to these women, a higher body mass index was noted. Path analysis suggested that high cocaine exposure has an indirect effect on systolic and diastolic blood pressure that is mediated through its effect on body mass index. Conclusion High levels of in-utero cocaine exposure are a marker for elevated body mass index and blood pressure among children born full term. PMID:20486281

  4. The relationship of body mass index and hirsutism in adult females

    Directory of Open Access Journals (Sweden)

    Ahmed Abdul-Aziz

    2015-07-01

    Full Text Available Introduction: Hirsutism is a common clinical condition that usually has a benign course but extremely distressing symptom for women. Hirsutism is a perplexing issue, having variable presentations including different severity of hirsutism, with menstrual history regular or irregular, body mass index (BMI within normal range or obese or overweight and yet some have a family history of hirsutism. Hirsutism may be associated with obesity, insulin resistance, diabetes, polycystic ovary syndrome (PCOS, hypertension, infertility, and menstrual irregularities. Studies suggested that it affects between 5 percent and 15 percent of women, varying according to characteristics and at least 5 percent of women of reproductive age suffer from this problem. Body mass index (BMI classifications were developed based on associations between BMI and chronic disease and mortality risk in healthy populations. Aim: This study was designed to investigate the relationship between body mass index (BMI and hirsutism. Material and methods: All patients were examined clinically, then interviewed and detailed questionnaires were completed for each of them. The study involved 300 individuals; 150 hirsute patients and 150 healthy people as control group. Hirsutism was determined by the Ferriman-Gallwey scoring system. Height and weight were measured by a physician mechanical scale. Body mass index was calculated weight/height² (kg/m², and collected data were analyzed by Microsoft excel-chi-square statistical test. Results: There were no significant differences between the two groups regarding age and height. However, BMI and weight were significantly higher in the cases group than the control group (P < 0.05. The chi square test revealed significantly higher differences between the case and control groups regarding BMI (P < 0.001. Conclusion: Our study clearly establishes that hirsute women had higher body mass index and moderate hirsutism was more prevalent among hirsute

  5. Body Mass Index, Smoking and Hypertensive Disorders during Pregnancy: A Population Based Case-Control Study.

    Directory of Open Access Journals (Sweden)

    Thuridur A Gudnadóttir

    Full Text Available While obesity is an indicated risk factor for hypertensive disorders of pregnancy, smoking during pregnancy has been shown to be inversely associated with the development of preeclampsia and gestational hypertension. The purpose of this study was to investigate the combined effects of high body mass index and smoking on hypertensive disorders during pregnancy. This was a case-control study based on national registers, nested within all pregnancies in Iceland 1989-2004, resulting in birth at the Landspitali University Hospital. Cases (n = 500 were matched 1:2 with women without a hypertensive diagnosis who gave birth in the same year. Body mass index (kg/m2 was based on height and weight at 10-15 weeks of pregnancy. We used logistic regression models to calculate odds ratios and corresponding 95% confidence intervals as measures of association, adjusting for potential confounders and tested for additive and multiplicative interactions of body mass index and smoking. Women's body mass index during early pregnancy was positively associated with each hypertensive outcome. Compared with normal weight women, the multivariable adjusted odds ratio for any hypertensive disorder was 1.8 (95% confidence interval, 1.3-2.3 for overweight women and 3.1 (95% confidence interval, 2.2-4.3 for obese women. The odds ratio for any hypertensive disorder with obesity was 3.9 (95% confidence interval 1.8-8.6 among smokers and 3.0 (95% confidence interval 2.1-4.3 among non-smokers. The effect estimates for hypertensive disorders with high body mass index appeared more pronounced among smokers than non-smokers, although the observed difference was not statistically significant. Our findings may help elucidate the complicated interplay of these lifestyle-related factors with the hypertensive disorders during pregnancy.

  6. Relationship between Body Mass Index and Percent Body Fat in Vietnamese: Implications for the Diagnosis of Obesity

    OpenAIRE

    Ho-Pham, Lan T; Lai, Thai Q.; Nguyen, Mai T. T.; Nguyen, Tuan V

    2015-01-01

    Background The burden of obesity in Vietnam has not been well defined because there is a lack of reference data for percent body fat (PBF) in Asians. This study sought to define the relationship between PBF and body mass index (BMI) in the Vietnamese population. Methods The study was designed as a comparative cross-sectional investigation that involved 1217 individuals of Vietnamese background (862 women) aged 20 years and older (average age 47 yr) who were randomly selected from the general ...

  7. Body Mass Index and Body Fat Status of Men Involved in Sports, Exercise, and Sedentary Activites

    OpenAIRE

    Wan Nudri, Wan Daud; Wan Abdul Manan, Wan Muda; Mohamed Rusli, Abdullah

    2009-01-01

    A cross-sectional study was carried out in Kota Bharu on three groups of men with ages ranging from 18 to 44 years. The study groups included 83 athletes representing various types of sports and levels of participation (athlete group), 80 active men who exercised a minimum of 30 minutes per day at least 3 times per week (exercise group), and 80 inactive men (sedentary group). The objectives of the study were to compare the body mass indices (BMIs) and body fat statuses among the three groups ...

  8. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.

    Science.gov (United States)

    Speliotes, Elizabeth K; Willer, Cristen J; Berndt, Sonja I; Monda, Keri L; Thorleifsson, Gudmar; Jackson, Anne U; Lango Allen, Hana; Lindgren, Cecilia M; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Vedantam, Sailaja; Winkler, Thomas W; Qi, Lu; Workalemahu, Tsegaselassie; Heid, Iris M; Steinthorsdottir, Valgerdur; Stringham, Heather M; Weedon, Michael N; Wheeler, Eleanor; Wood, Andrew R; Ferreira, Teresa; Weyant, Robert J; Segrè, Ayellet V; Estrada, Karol; Liang, Liming; Nemesh, James; Park, Ju-Hyun; Gustafsson, Stefan; Kilpeläinen, Tuomas O; Yang, Jian; Bouatia-Naji, Nabila; Esko, Tõnu; Feitosa, Mary F; Kutalik, Zoltán; Mangino, Massimo; Raychaudhuri, Soumya; Scherag, Andre; Smith, Albert Vernon; Welch, Ryan; Zhao, Jing Hua; Aben, Katja K; Absher, Devin M; Amin, Najaf; Dixon, Anna L; Fisher, Eva; Glazer, Nicole L; Goddard, Michael E; Heard-Costa, Nancy L; Hoesel, Volker; Hottenga, Jouke-Jan; Johansson, Asa; Johnson, Toby; Ketkar, Shamika; Lamina, Claudia; Li, Shengxu; Moffatt, Miriam F; Myers, Richard H; Narisu, Narisu; Perry, John R B; Peters, Marjolein J; Preuss, Michael; Ripatti, Samuli; Rivadeneira, Fernando; Sandholt, Camilla; Scott, Laura J; Timpson, Nicholas J; Tyrer, Jonathan P; van Wingerden, Sophie; Watanabe, Richard M; White, Charles C; Wiklund, Fredrik; Barlassina, Christina; Chasman, Daniel I; Cooper, Matthew N; Jansson, John-Olov; Lawrence, Robert W; Pellikka, Niina; Prokopenko, Inga; Shi, Jianxin; Thiering, Elisabeth; Alavere, Helene; Alibrandi, Maria T S; Almgren, Peter; Arnold, Alice M; Aspelund, Thor; Atwood, Larry D; Balkau, Beverley; Balmforth, Anthony J; Bennett, Amanda J; Ben-Shlomo, Yoav; Bergman, Richard N; Bergmann, Sven; Biebermann, Heike; Blakemore, Alexandra I F; Boes, Tanja; Bonnycastle, Lori L; Bornstein, Stefan R; Brown, Morris J; Buchanan, Thomas A; Busonero, Fabio; Campbell, Harry; Cappuccio, Francesco P; Cavalcanti-Proença, Christine; Chen, Yii-Der Ida; Chen, Chih-Mei; Chines, Peter S; Clarke, Robert; Coin, Lachlan; Connell, John; Day, Ian N M; den Heijer, Martin; Duan, Jubao; Ebrahim, Shah; Elliott, Paul; Elosua, Roberto; Eiriksdottir, Gudny; Erdos, Michael R; Eriksson, Johan G; Facheris, Maurizio F; Felix, Stephan B; Fischer-Posovszky, Pamela; Folsom, Aaron R; Friedrich, Nele; Freimer, Nelson B; Fu, Mao; Gaget, Stefan; Gejman, Pablo V; Geus, Eco J C; Gieger, Christian; Gjesing, Anette P; Goel, Anuj; Goyette, Philippe; Grallert, Harald; Grässler, Jürgen; Greenawalt, Danielle M; Groves, Christopher J; Gudnason, Vilmundur; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Hall, Alistair S; Havulinna, Aki S; Hayward, Caroline; Heath, Andrew C; Hengstenberg, Christian; Hicks, Andrew A; Hinney, Anke; Hofman, Albert; Homuth, Georg; Hui, Jennie; Igl, Wilmar; Iribarren, Carlos; Isomaa, Bo; Jacobs, Kevin B; Jarick, Ivonne; Jewell, Elizabeth; John, Ulrich; Jørgensen, Torben; Jousilahti, Pekka; Jula, Antti; Kaakinen, Marika; Kajantie, Eero; Kaplan, Lee M; Kathiresan, Sekar; Kettunen, Johannes; Kinnunen, Leena; Knowles, Joshua W; Kolcic, Ivana; König, Inke R; Koskinen, Seppo; Kovacs, Peter; Kuusisto, Johanna; Kraft, Peter; Kvaløy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lanzani, Chiara; Launer, Lenore J; Lecoeur, Cecile; Lehtimäki, Terho; Lettre, Guillaume; Liu, Jianjun; Lokki, Marja-Liisa; Lorentzon, Mattias; Luben, Robert N; Ludwig, Barbara; Manunta, Paolo; Marek, Diana; Marre, Michel; Martin, Nicholas G; McArdle, Wendy L; McCarthy, Anne; McKnight, Barbara; Meitinger, Thomas; Melander, Olle; Meyre, David; Midthjell, Kristian; Montgomery, Grant W; Morken, Mario A; Morris, Andrew P; Mulic, Rosanda; Ngwa, Julius S; Nelis, Mari; Neville, Matt J; Nyholt, Dale R; O'Donnell, Christopher J; O'Rahilly, Stephen; Ong, Ken K; Oostra, Ben; Paré, Guillaume; Parker, Alex N; Perola, Markus; Pichler, Irene; Pietiläinen, Kirsi H; Platou, Carl G P; Polasek, Ozren; Pouta, Anneli; Rafelt, Suzanne; Raitakari, Olli; Rayner, Nigel W; Ridderstråle, Martin; Rief, Winfried; Ruokonen, Aimo; Robertson, Neil R; Rzehak, Peter; Salomaa, Veikko; Sanders, Alan R; Sandhu, Manjinder S; Sanna, Serena; Saramies, Jouko; Savolainen, Markku J; Scherag, Susann; Schipf, Sabine; Schreiber, Stefan; Schunkert, Heribert; Silander, Kaisa; Sinisalo, Juha; Siscovick, David S; Smit, Jan H; Soranzo, Nicole; Sovio, Ulla; Stephens, Jonathan; Surakka, Ida; Swift, Amy J; Tammesoo, Mari-Liis; Tardif, Jean-Claude; Teder-Laving, Maris; Teslovich, Tanya M; Thompson, John R; Thomson, Brian; Tönjes, Anke; Tuomi, Tiinamaija; van Meurs, Joyce B J; van Ommen, Gert-Jan; Vatin, Vincent; Viikari, Jorma; Visvikis-Siest, Sophie

    2010-11-01

    Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

  9. Association between dietary glycemic index, glycemic load, and body mass index in the Inter99 study: is underreporting a problem?

    DEFF Research Database (Denmark)

    Lau, C.; Toft, U.; Tetens, Inge

    2006-01-01

    Background: The few studies examining the potential associations between glycemic index (GI), glycemic load (GL), and body mass index (BMI) have provided no clear pictures. Underreporting of energy intake may be one explanation for this. Objective: We examined the associations between GI, GL......, and BMI by focusing on the confounding factor of total energy intake and the effect of exclusion of low energy reporters (LERs). Design: This was a cross-sectional study of 6334 subjects aged 30 - 60 y. Dietary intake was estimated from a food-frequency questionnaire. GI and GL were estimated by using...

  10. Body mass index underestimates adiposity in women with spinal cord injury

    OpenAIRE

    Yarar-Fisher, Ceren; Chen, Yuying; Jackson, Amie B; Hunter, Gary R.

    2013-01-01

    Objective To assess the relationship between body mass index (BMI) and adiposity as well as the influence of injury level on this relationship in 24 women with spinal cord injury (SCI) and 23 able-bodied (AB) women with similar age, race, and BMI. Design and methods Body composition was measured by dual energy x-ray absorptiometry (DXA). Analysis of covariance was performed to compare total and regional soft tissue percent fat (PF) measures between groups. Results Women with SCI had a higher ...

  11. Centile Curves and Reference Values for Height, Body Mass, Body Mass Index and Waist Circumference of Peruvian Children and Adolescents

    Directory of Open Access Journals (Sweden)

    Alcibíades Bustamante

    2015-03-01

    Full Text Available This study aimed to provide height, body mass, BMI and waist circumference (WC growth centile charts for school-children, aged 4–17 years, from central Peru, and to compare Peruvian data with North-American and Argentinean references. The sample consisted of 8753 children and adolescents (4130 boys and 4623 girls aged 4 to 17 years, from four Peruvian cities: Barranco, La Merced, San Ramón and Junín. Height, body mass and WC were measured according to standardized techniques. Centile curves for height, body mass, BMI and WC were obtained separately for boys and girls using the LMS method. Student t-tests were used to compare mean values. Overall boys have higher median heights than girls, and the 50th percentile for body mass increases curvilinearly from 4 years of age onwards. In boys, the BMI and WC 50th percentiles increase linearly and in girls, the increase presents a curvilinear pattern. Peruvian children are shorter, lighter and have higher BMI than their counterparts in the U.S. and Argentina; in contrast, age and sex-specific WC values are lower. Height, body mass and WC of Peruvian children increased with age and variability was higher at older ages. The growth patterns for height, body mass, BMI and WC among Peruvian children were similar to those observed in North-American and Argentinean peers.

  12. Indices of vascular stiffness and wave reflection in relation to body mass index or body fat in healthy subjects.

    Science.gov (United States)

    Wykretowicz, Andrzej; Adamska, Karolina; Guzik, Przemyslaw; Krauze, Tomasz; Wysocki, Henryk

    2007-10-01

    1. Obesity appears to influence vascular stiffness, an important cardiovascular risk factor. An accurate picture of arterial stiffness may be obtained when a combination of various techniques is used. 2. The purpose of the present study was to assess whether the body mass index (BMI) and body fat content obtained by bioimpedance were of equal value in estimating the influence of body fatness on various indices of vascular stiffness and wave reflection. 3. A total of 175 healthy subjects was studied. Anthropometric measurements and total body bio-impedance analysis were performed to assess fat mass as a proportion of total body composition. Arterial stiffness and wave reflection were assessed using digital volume pulse analysis and tonometric measurement of the wave reflection indices and central haemodynamics. 4. Significant differences in the stiffness index (SI(DVP); P < 0.0001), peripheral augmentation index (pAI(x); P < 0.0001), central augmentation index (cAI(x); P < 0.0001), peripheral pulse pressure (pPP; P = 0.026) and central pulse pressure (cPP; P < 0.0001) were found when the population examined was divided accordingly to tertile of body fat content. However, subdividing various indices of arterial stiffness according to the tertile of BMI did not reveal any significant differences between groups, except for pPP and cPP. 5. Body fat content was significantly correlated with SI(DVP), pAI(x), cAI(x), pPP and cPP. The BMI correlated weakly with SI(DVP), pPP and cPP. 6. In conclusion, the BMI is not very useful in predicting changes in arterial stiffness and wave reflection due to obesity. However, stiffness and wave reflection indices derived from digital volume pulse analysis, the characteristics of radial and aortic pressure waveforms and peripheral and aortic pulse pressure are all related to body fat content, as estimated by bioimpedance.

  13. Cardiorespiratory fitness and body mass index values in 9-year-old rural Norwegian children

    DEFF Research Database (Denmark)

    Resaland, G K; Mamen, A; Anderssen, S A

    2009-01-01

    AIM: To describe cardiorespiratory fitness and body mass index (BMI) values in a representative population of 9-year-old Norwegian children in two rural communities and compare present values with previous findings. METHODS: Two hundred and fifty-nine 9-year-old children were invited, and 256...... and 16.8% of the girls were classified as overweight, and 1.6% of the boys and 6.9% of the girls as obese. Mean age, body mass, height and Ponderal index were not significantly different between sexes. Girls had a higher BMI than boys (p = 0.05). CONCLUSION: Compared to earlier Norwegian studies......, children's BMI values seem to have increased substantially. This increase is most pronounced in girls. When assessing these differences using the PI, this increase is less marked. Comparing maximal oxygen uptake data with that in earlier Nordic studies, there is no evidence that fitness has declined among...

  14. Body Mass Index (BMI) in women booking for antenatal care: comparison between selfreported and digital measurements.

    LENUS (Irish Health Repository)

    Fattah, Chro

    2012-02-01

    OBJECTIVE: We set out to compare measurement of Body Mass Index (BMI) with selfreporting in women early in pregnancy. STUDY DESIGN: We studied 100 women booking for antenatal care in the first trimester with a normal ongoing pregnancy. Selfreported maternal weight and height were recorded and the Body Mass Index was calculated. Afterwards maternal weight and height were digitally measured and actual BMI was calculated. RESULTS: If selfreporting is used for BMI classification, we found that 22% of women were classified incorrectly when BMI was measured. 12% of the women who were classified as having a normal selfreported BMI were overweight and 5% classified as overweight were obese. Similar findings have been reported outside pregnancy. CONCLUSIONS: These findings have implications for clinical practice, and for research studies exploring the relationship between maternal adiposity and pregnancy complications.

  15. Prediction of Elderly Anthropometric Dimension Based On Age, Gender, Origin, and Body Mass Index

    Science.gov (United States)

    Indah, P.; Sari, A. D.; Suryoputro, M. R.; Purnomo, H.

    2016-01-01

    Introduction: Studies have indicated that elderly anthropometric dimensions will different for each person. To determine whether there are differences in the anthropometric data of Javanese elderly, this study will analyze whether the variables of age, gender, origin, and body mass index (BMI) have been associated with elderly anthropometric dimensions. Age will be divided into elderly and old categories, gender will divide into male and female, origins were divided into Yogyakarta and Central Java, and for BMI only use the normal category. Method: Anthropometric studies were carried out on 45 elderly subjects in Sleman,Yogyakarta. Results and Discussion: The results showed that some elderly anthropometric dimensions were influenced by age, origin, and body mass index but gender doesn't significantly affect the elderly anthropometric dimensions that exist in the area of Sleman. The analysis has provided important aid when designing products that intended to the Javanese elderly Population.

  16. Inverse relationship between body mass index and mortality in older nursing home residents

    DEFF Research Database (Denmark)

    Veronese, N; Cereda, E; Solmi, M

    2015-01-01

    Body mass index (BMI) and mortality in old adults from the general population have been related in a U-shaped or J-shaped curve. However, limited information is available for elderly nursing home populations, particularly about specific cause of death. A systematic PubMed/EMBASE/CINAHL/SCOPUS sea......Body mass index (BMI) and mortality in old adults from the general population have been related in a U-shaped or J-shaped curve. However, limited information is available for elderly nursing home populations, particularly about specific cause of death. A systematic Pub......Med/EMBASE/CINAHL/SCOPUS search until 31 May 2014 without language restrictions was conducted. As no published study reported mortality in standard BMI groups (

  17. Dimensions of socioeconomic position related to body mass index and obesity among Danish women and men

    DEFF Research Database (Denmark)

    Groth, Margit Velsing; Fagt, Sisse; Stockmarr, Anders;

    2009-01-01

    Aims: The aim of this study was to examine the association between different dimensions of socioeconomic position, body mass index (BMI) and obesity in the Danish population. Possible interactions between the different dimensions and gender differences were also investigated. Methods: This was a ......Aims: The aim of this study was to examine the association between different dimensions of socioeconomic position, body mass index (BMI) and obesity in the Danish population. Possible interactions between the different dimensions and gender differences were also investigated. Methods...... were 2.9 (95% confidence interval (CI) 1.4–5.9) and 6.5 (95% CI 2.3–18.7) for those with basic school as compared with those with long higher education for men and women, respectively. Women outside the labour market had higher BMIs and a greater prevalence of obesity (OR 2.5 (95% CI 1.6–3.9)) after...

  18. Bone Mass, Body Mass Index, and Lifestyle Factors: A Case Study of Walailak University Staff

    Directory of Open Access Journals (Sweden)

    Rapheeporn KHWANCHUEA

    2012-09-01

    Full Text Available To assess bone mineral density (BMD and explore lifestyle factors affecting BMD in 310 staff of Walailak University aged 25 - 45 years (men = 23.23 % and women 76.77 %. BMD was evaluated by Quantitative ultrasound (QUS analysis at the left distal-third radius. Anthropometric data including body mass index (BMI and waist circumferences (WC were measured, and lifestyle behaviors were also explored using the questionnaire. BMD status of both men and women showed similar results, 14.84 and 0.97 % of both genders were determined to have osteopenia and osteoporosis, respectively. Important data demonstrated the highest numbers of younger women aged 25 - 30 with osteopenia (30.61 %. Anthropometric results showed that 44.83 % of all subjects represented abnormal BMI (BMI < 18.5 and BMI  ³  23, and percentages of the men who had BMI more than 23 (51.39 % were larger than those of the women (30.67 %. In contrast, only 26.45 % of both genders demonstrated abnormal WC, and the numbers for women were higher. Descriptive data of beverage consumption showed that most of men and women subjects had caffeine and carbonated beverage intakes less than 7 cups per week (73.61 and 87.82 % and less than 3 cups per week (95.83 and 97.06 % respectively, whereas only 9.72 and 26.89 % of men and women consumed more than 3 packs of milk per week. Results of lifestyle behaviors showed that almost all subjects preferred exercise, but only 47.22 and 31.09 % of men and women exercises 3 or more times per week. The multivariate analysis showed that BMD status is significantly associated with age group and BMI (OR = 3.30, CI, 1.086 – 6.3747 and OR = 0.43, CI, 0.2697 – 0.9805, respectively after adjusting for age and gender. Normal BMI and older age group are the potential determinants, and other risk factors such as caffeine and carbonated beverages are sufficient concerns in adults.

  19. Body mass index and smoking: cross-sectional study of a representative sample of adolescents in Denmark

    DEFF Research Database (Denmark)

    Dhariwal, Mukesh; Rasmussen, Mette; Holstein, Bjørn Evald

    2010-01-01

    To quantify the association between body mass index (BMI) and smoking (at all and daily smoking) stratified by gender, family social class, and ethnicity among adolescents aged between 13 and 15.......To quantify the association between body mass index (BMI) and smoking (at all and daily smoking) stratified by gender, family social class, and ethnicity among adolescents aged between 13 and 15....

  20. Combining Body Mass Index With Measures of Central Obesity in the Assessment of Mortality in Subjects With Coronary Disease

    DEFF Research Database (Denmark)

    Coutinho, Thais; Goel, Kashish; Corrêa de Sá, Daniel

    2013-01-01

    This study sought to assess the mortality risk of patients with coronary artery disease (CAD) based ona combination of body mass index (BMI) with measures of central obesity.......This study sought to assess the mortality risk of patients with coronary artery disease (CAD) based ona combination of body mass index (BMI) with measures of central obesity....

  1. Weight gain in different periods of pregnancy and offspring's body mass index at 7 years of age

    DEFF Research Database (Denmark)

    Andersen, Camilla Schou; Gamborg, Michael; Sørensen, Thorkild I A

    2011-01-01

    We investigated how average weekly gestational weight gain rates during three periods of pregnancy were related to the offspring's body mass index (BMI) at 7 years of age.......We investigated how average weekly gestational weight gain rates during three periods of pregnancy were related to the offspring's body mass index (BMI) at 7 years of age....

  2. Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee ☆

    OpenAIRE

    Fabrício Bolpato Loures; Rogério Franco de Araújo Góes; Pedro José Labronici; João Maurício Barretto; Beni Olej

    2016-01-01

    ABSTRACT OBJECTIVE: To evaluate the relationship between patients' body mass index (BMI) and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients' BMI was calculated and their knee arthrosis was classified in accordance with the modified Ahlbäck criteria. Kruskal-Wallis analysis of variance (ANOVA) was used to evaluate the relationship between these two variables. RESULTS: The group classified as Ah...

  3. Population genetic differentiation of height and body mass index across Europe

    DEFF Research Database (Denmark)

    Robinson, Matthew R.; Hemani, Gibran; Medina-Gomez, Carolina;

    2015-01-01

    Across-nation differences in the mean values for complex traits are common(1-8), but the reasons for these differences are unknown. Here we find that many independent loci contribute to population genetic differences in height and body mass index (BMI) in 9,416 individuals across 14 European coun...... for both phenotypes. Observed differences in height among populations reflected the predicted genetic means (r = 0.51; P Europe masked genetic differentiation for BMI (P

  4. Association Between Sleep Disorder and Increased Body Mass Index in Adult Patients

    Directory of Open Access Journals (Sweden)

    Bocicor Andreea Elena

    2016-06-01

    Full Text Available Introduction and objectives. Obesity is a public health issue, with increasing prevalence and incidence all over the world. Diet and exercise applied in obesity treatment are not always as effective as expected, as there are many other determining factors which can lead to obesity. One of these modifiable factors seem to be sleep disorder. The objective of our study was to test the positive association between the presence of sleep disorder and increased body mass index (BMI.

  5. Evaluation of Fruit Intake and its Relation to Body Mass Index of Adolescents

    OpenAIRE

    2014-01-01

    Diets high in fruits and vegetables are recommended to maintain health. However, accurate fruit intake evaluation is hard and high sugar content in most of the fruits suggest possible negative relationships with health indices. The purpose of the present study was to evaluate the fruit intake status of adolescents and to examine the relationship between fruit intake and body mass index (BMI). For this, 400 middle and high school students were surveyed for their fruit eating attitude, preferen...

  6. Body Mass Index and Depressive Symptoms in Older Adults: A Cross-Lagged Panel Analysis

    OpenAIRE

    Jinseok Kim; Jin-Won Noh; Jumin Park; Young Dae Kwon

    2014-01-01

    Background There are conflicting results about the association between body mass index (BMI) and depressive symptoms in older adults. The present study examined the relationship between weight and depressive symptoms over time in older adults in South Korea. Methods We used data from three waves of the Korean Longitudinal Study of Aging and ran a series of cross-lagged panel models to test the reciprocal relationship between depressive symptoms and obesity in older Korean adults. We assumed a...

  7. The influence of maternal body mass index on fetal weight estimation in twin pregnancy.

    LENUS (Irish Health Repository)

    Ryan, Helen M

    2013-11-08

    Sonographic estimation of fetal weight (EFW) is important in the management of high-risk pregnancies. The possibility that increased maternal body mass index (BMI) adversely affects EFW assessments in twin pregnancies is controversial. The aim of this study was to investigate the effect of maternal BMI on the accuracy of EFW assessments in twin gestations prospectively recruited for the ESPRiT (Evaluation of Sonographic Predictors of Restricted growth in Twins) study.

  8. Differences in Dietary Patterns among College Students According to Body Mass Index

    Science.gov (United States)

    Brunt, Ardith; Rhee, Yeong; Zhong, Li

    2008-01-01

    Objective and Participants: The authors surveyed 557 undergraduate students aged 18-56 years to assess weight status, health behaviors, and dietary variety. Methods: They used body mass index (BMI) to divide students into 4 weight categories: underweight (BMI less than 19 kg/m2), healthy weight (19 kg/m2 to 24.99 kg/m2), overweight (25 kg/m2 to…

  9. Postpartum Teens’ Breakfast Consumption is Associated with Snack and Beverage Intake and Body Mass Index

    OpenAIRE

    Haire-Joshu, Debra; Schwarz, Cynthia; Budd, Elizabeth L.; Yount, Byron W.; Lapka, Christina

    2011-01-01

    Addressing high risk dietary patterns among postpartum teens may help reduce weight retention and prevent intergenerational obesity. The objective of this study was to describe the relationship between breakfast consumption and outcomes of snack and beverage intake and body mass index (BMI) among postpartum teens. During 2007–2009, 1,330 postpartum teens across 27 states participated in a cross-sectional, baseline assessment of a group-randomized, nested cohort study. Participants were enroll...

  10. Increasing genetic variance of body mass index during the Swedish obesity epidemic

    DEFF Research Database (Denmark)

    Rokholm, Benjamin; Silventoinen, Karri; Tynelius, Per;

    2011-01-01

    There is no doubt that the dramatic worldwide increase in obesity prevalence is due to changes in environmental factors. However, twin and family studies suggest that genetic differences are responsible for the major part of the variation in adiposity within populations. Recent studies show...... that the genetic effects on body mass index (BMI) may be stronger when combined with presumed risk factors for obesity. We tested the hypothesis that the genetic variance of BMI has increased during the obesity epidemic....

  11. Pregnancy Outcomes Based on Pre-Pregnancy Body Mass Index in Japanese Women

    OpenAIRE

    Enomoto, Kimiko; Aoki, Shigeru; Toma, Rie; Fujiwara, Kana; Sakamaki, Kentaro; Hirahara, Fumiki

    2016-01-01

    Objective To verify whether body mass index (BMI) classification proposed by the Institute of Medicine (IOM) is valid in Japanese women. Method A study was conducted in 97,157 women with singleton pregnancies registered in the Japan Society of Obstetrics and Gynecology (JSOG) Successive Pregnancy Birth Registry System between January 2013 and December 2013, to examine pregnancy outcomes in four groups stratified by pre-pregnancy BMI category according to the 2009 criteria recommended by the I...

  12. Growth in Body Mass Index from Childhood into Adolescence: The Role of Sleep Duration and Quality

    Science.gov (United States)

    El-Sheikh, Mona; Bagley, Erika J.; Keiley, Margaret K.; Erath, Stephen A.

    2014-01-01

    This study examined longitudinal relations between sleep and body mass index (BMI) from late childhood ([X-bar] age = 9.44 at T1) to early adolescence ([X-bar] age = 11.36 at T3) with a relatively large (n = 273 at T1) and diverse (35% African Americans) sample. Sleep was assessed with actigraphy-based sleep minutes and self-reported sleep…

  13. Relationship of Body Mass Index to Alcohol Consumption in College Freshmen

    Directory of Open Access Journals (Sweden)

    Mary A. Nies

    2012-01-01

    Full Text Available Objective. Assess the relationship between body mass index (BMI and drinking in college freshman. Method. College freshman (N=199 at a university completed the drinking questionnaires. Drinking amount and the alcohol problem index (RAPI served as outcomes, and BMI was the independent variable. Results. RAPI scores were associated with gender, amount of drinking, and BMI (P<0.001, F=13.44. Increase of RAPI with drinking amount was larger for females (slope=0.06 than for males (slope=0.03. Conclusion. This information can be helpful when providing health promotion strategies to college students regarding nutrition modifications that would be most beneficial for their health.

  14. Chronic intermittent high altitude exposure, occupation, and body mass index in workers of mining industry.

    Science.gov (United States)

    Esenamanova, Marina K; Kochkorova, Firuza A; Tsivinskaya, Tatyana A; Vinnikov, Denis; Aikimbaev, Kairgeldy

    2014-09-01

    The obesity and overweight rates in population exposed to chronic intermittent exposure to high altitudes are not well studied. The aim of the retrospective study was to evaluate whether there are differences in body mass index in different occupation groups working in intermittent shifts at mining industry at high altitude: 3800-4500 meters above sea level. Our study demonstrated that obesity and overweight are common in workers of high altitude mining industry exposed to chronic intermittent hypoxia. The obesity rate was lowest among miners as compared to blue- and white-collar employees (9.5% vs. 15.6% and 14.7%, p=0.013). Obesity and overweight were associated with older age, higher rates of increased blood pressure (8.79% and 5.72% vs. 1.92%), cholesterol (45.8% and 45.6% vs. 32.8%) and glucose (4.3% and 1.26% vs. 0.57%) levels as compared to normal body mass index category (pmining industry exposed to intermittent high-altitude hypoxia. Therefore, assessment and monitoring of body mass index seems to be essential in those who live and work at high altitudes to supply the correct nutrition, modify risk factors, and prevent related disorders.

  15. Childhood body mass index and the risk of prostate cancer in adult men

    DEFF Research Database (Denmark)

    Aarestrup, J; Gamborg, M; Cook, M B

    2014-01-01

    BACKGROUND: Prostate cancer aetiology is poorly understood. It may have origins early in life; previously we found a positive association with childhood height. The effects of early life body mass index (BMI; kg m(-2)) on prostate cancer remain equivocal. We investigated if childhood BMI, indepen......BACKGROUND: Prostate cancer aetiology is poorly understood. It may have origins early in life; previously we found a positive association with childhood height. The effects of early life body mass index (BMI; kg m(-2)) on prostate cancer remain equivocal. We investigated if childhood BMI......, independently and adjusted for height, is positively associated with adult prostate cancer. METHODS: Subjects were a cohort of 125208 boys formed from the Copenhagen School Health Records Register, born 1930-1969 with height and weight measurements at 7-13 years. Cases were identified through linkage...... to the Danish Cancer Registry. Cox proportional hazards regressions were performed. RESULTS: Overall, 3355 men were diagnosed with prostate cancer. Body mass index during childhood was positively associated with adult prostate cancer. The hazard ratio of prostate cancer was 1.06 (95% confidence interval (CI): 1...

  16. Estimation of body mass index from the metrics of the first metatarsal

    Science.gov (United States)

    Dunn, Tyler E.

    Estimation of the biological profile from as many skeletal elements as possible is a necessity in both forensic and bioarchaeological contexts; this includes non-standard aspects of the biological profile, such as body mass index (BMI). BMI is a measure that allows for understanding of the composition of an individual and is traditionally divided into four groups: underweight, normal weight, overweight, and obese. BMI estimation incorporates both estimation of stature and body mass. The estimation of stature from skeletal elements is commonly included into the standard biological profile but the estimation of body mass needs to be further statistically validated to be consistently included. The bones of the foot, specifically the first metatarsal, may have the ability to estimate BMI given an allometric relationship to stature and the mechanical relationship to body mass. There are two commonly used methods for stature estimation, the anatomical method and the regression method. The anatomical method takes into account all of the skeletal elements that contribute to stature while the regression method relies on the allometric relationship between a skeletal element and living stature. A correlation between the metrics of the first metatarsal and living stature has been observed, and proposed as a method for valid stature estimation from the boney foot (Byers et al., 1989). Body mass estimation from skeletal elements relies on two theoretical frameworks: the morphometric and the mechanical approaches. The morphometric approach relies on the size relationship of the individual to body mass; the basic relationship between volume, density, and weight allows for body mass estimation. The body is thought of as a cylinder, and in order to understand the volume of this cylinder the diameter is needed. A commonly used proxy for this in the human body is skeletal bi-iliac breadth from rearticulated pelvic girdle. The mechanical method of body mass estimation relies on the

  17. Cerebral serotonin transporter binding is inversely related to body mass index

    DEFF Research Database (Denmark)

    Erritzoe, D; Frokjaer, V G; Haahr, M T;

    2010-01-01

    ) in animal models is inversely related to food intake and body weight and some effective anti-obesity agents involve blockade of the serotonin transporter (SERT). We investigated in 60 healthy volunteers body mass index (BMI) and regional cerebral SERT binding as measured with [(11)C]DASB PET. In a linear......Overweight and obesity is a health threat of increasing concern and understanding the neurobiology behind obesity is instrumental to the development of effective treatment regimes. Serotonergic neurotransmission is critically involved in eating behaviour; cerebral level of serotonin (5-HT...... secondary to other dysfunction(s) in the serotonergic transmitter system, such as low baseline serotonin levels, remains to be established....

  18. Body mass index in male and female children with infantile autism

    DEFF Research Database (Denmark)

    Mouridsen, Svend Erik; Rich, Bente; Isager, Torben

    2002-01-01

    was to evaluate body mass index (BMI) of children with infantile autism, by comparing the BMI of 117 children with infantile autism with the corresponding BMI percentiles in an age- and sex-matched reference population. The BMI distribution of the male, but not female, children with infantile autism......Morphometry, the measurement of forms, is an ancient practice. Recently, evidence has grown to support the notion that aberrant neurodevelopment may play a role in the pathophysiology of autism. Is the body, like the brain, affected by abnormal development in these patients? The aim of this study...

  19. Genome-wide association studies and heritability estimates of body mass index related phenotypes in Bangladeshi adults.

    Directory of Open Access Journals (Sweden)

    Molly Scannell Bryan

    Full Text Available Many health outcomes are influenced by a person's body mass index, as well as by the trajectory of body mass index through a lifetime. Although previous research has established that body mass index related traits are influenced by genetics, the relationship between these traits and genetics has not been well characterized in people of South Asian ancestry. To begin to characterize this relationship, we analyzed the association between common genetic variation and five phenotypes related to body mass index in a population-based sample of 5,354 Bangladeshi adults. We discovered a significant association between SNV rs347313 (intron of NOS1AP and change in body mass index in women over two years. In a linear mixed-model, the G allele was associated with an increase of 0.25 kg/m2 in body mass index over two years (p-value of 2.3·10-8. We also estimated the heritability of these phenotypes from our genotype data. We found significant estimates of heritability for all of the body mass index-related phenotypes. Our study evaluated the genetic determinants of body mass index related phenotypes for the first time in South Asians. The results suggest that these phenotypes are heritable and some of this heritability is driven by variation that differs from those previously reported. We also provide evidence that the genetic etiology of body mass index related traits may differ by ancestry, sex, and environment, and consequently that these factors should be considered when assessing the genetic determinants of the risk of body mass index-related disease.

  20. The Body Mass Index and Waist Circumference as Predictors of Body Composition in Post CSCI Wheelchair Rugby Players (Preliminary Investigations

    Directory of Open Access Journals (Sweden)

    Zwierzchowska Anna

    2014-12-01

    Full Text Available The enforced sedentary lifestyle and muscle paresis below the level of injury are associated with adipose tissue accumulation in the trunk. The value of anthropometric indicators of obesity in patients with spinal cord injuries has also been called into question. We hypothesized that the Body Mass Index recommended by the WHO to diagnose obesity in general population has too low sensitivity in case of wheelchair rugby players.

  1. Glycemic load, glycemic index, and body mass index in Spanish adults12345

    OpenAIRE

    Mendez, Michelle A.; Covas, Maria Isabel; Marrugat, Jaume; Vila, Joan; Schröder, Helmut

    2008-01-01

    Background: Studies on obesity and glycemic index (GI) or glycemic load (GL) have had inconsistent results, perhaps in part because of underreporting or to heterogeneous dietary patterns across food cultures.

  2. Changing guards: time to move beyond body mass index for population monitoring of excess adiposity.

    Science.gov (United States)

    Tanamas, S K; Lean, M E J; Combet, E; Vlassopoulos, A; Zimmet, P Z; Peeters, A

    2016-07-01

    With the obesity epidemic, and the effects of aging populations, human phenotypes have changed over two generations, possibly more dramatically than in other species previously. As obesity is an important and growing hazard for population health, we recommend a systematic evaluation of the optimal measure(s) for population-level excess body fat. Ideal measure(s) for monitoring body composition and obesity should be simple, as accurate and sensitive as possible, and provide good categorization of related health risks. Combinations of anthropometric markers or predictive equations may facilitate better use of anthropometric data than single measures to estimate body composition for populations. Here, we provide new evidence that increasing proportions of aging populations are at high health-risk according to waist circumference, but not body mass index (BMI), so continued use of BMI as the principal population-level measure substantially underestimates the health-burden from excess adiposity.

  3. Relationship between body mass index and women's body image, self-esteem and eating behaviours in pregnancy: a cross-cultural study.

    Science.gov (United States)

    Shloim, Netalie; Hetherington, Marion M; Rudolf, Mary; Feltbower, Richard G

    2015-04-01

    This study examined the relationship between self-esteem, restrained eating, body image and body mass index during pregnancy. A total of 110 pregnant Israeli and UK women completed the Rosenberg Self-Esteem Questionnaire, the Dutch Eating Behaviour Questionnaire, scales to assess body image and demographics. Body mass index was calculated from antenatal records. Regression modelling determined the relationship between variables, countries and body mass index categories. High correlations were found between body image and body mass index with significantly higher body dissatisfaction for Israeli women. Self-esteem scores for pregnant women were similar to those reported for non-pregnant women. Poorer body image and higher prevalence of restrained eating were found in healthy weight Israeli women.

  4. Considering an affect regulation framework for examining the association between body dissatisfaction and positive body image in Black older adolescent females: does body mass index matter?

    Science.gov (United States)

    Webb, Jennifer B; Butler-Ajibade, Phoebe; Robinson, Seronda A

    2014-09-01

    The present study provided an initial evaluation of an affect regulation model describing the association between body dissatisfaction and two contemporary measures of positive body image among 247 Black college-bound older adolescent females. We further tested whether possessing a higher body mass index (BMI) would strengthen these associations. Self-reported height and weight were used to calculate BMI. Respondents also completed a culturally-sensitive figure rating scale along with assessments of body appreciation and body image flexibility. Results indicated a robust positive association between the two measures of positive body image; BMI was the strongest predictor of both body appreciation and body image flexibility with body size discrepancy (current minus ideal) contributing incremental variance to both models tested. Implications for improving our understanding of the association between positive and negative body image and bolstering positive body image to promote health-protective behaviors among Black young women at this developmental juncture are discussed.

  5. SCREENING OF BODY MASS INDEX AND FUNCTIONAL FLATFOOT IN ADULT: AN OBSERVATIONAL STUDY

    Directory of Open Access Journals (Sweden)

    Ashwini Chougala

    2015-06-01

    Full Text Available Background: There is a relation between flatfoot and increased Body Mass Index (BMI. Increased weight leads to increase plantar pressure causing reduced distance between ground and arches of the foot. The purpose of the present study is to estimate the prevalence of flat feet in college going students, to determine the relationship between flat foot and Body Mass Index (BMI, and to compare prevalence of flat foot among college boys and girls. Materials and Method: Samples were taken according to willingness for participation; informed consent was given and signed from them. Height and weight of subjects were measured by using standard apparatus. Total numbers of males screened were 46 and females were 182. BMI was considered as the index of obesity .The international BMI cut–off values were used to determine obesity (BMI> 95th percentile, and foot structure assessment was performed with Denis Method. Significant relationship between obesity and flatfoot was observed. Result: A significant relationship (P≤0.01 was found between the prevalence of flatfoot and BMI. Also males were found to have higher prevalence of flatfoot than women in the age group of 18-25 years. Conclusion: The results of this study suggest that there is relationship between increased weight of person and structure of the foot. Males are more prone to flatfoot than females in the age group of 18-25 years.

  6. Relationship of Physical Activity Facilitators and Body Mass Index in Kashan Elderly

    Directory of Open Access Journals (Sweden)

    Zahra Khalili

    2015-12-01

    Full Text Available Introduction: There are many factors that affect the level of physical activity and body mass index of the elderly. The current study aimed to assess the relationship of  physical activity facilitators and body mass index of Kashan elderly. Methods: The cross-sectional study sampled 400 elderly older than 60 referred to 10 healthcare centers in Kashan, 2014, via multistage quota method. Participations were tested under demographic characters, body mass index(BMI level, and exercise benefits part of exercise benefits and barrier scale (persian  version for measurig  physical activity facilitators. Data were analyzed in SPSS software, descriptive statistic, Spearman correlation test, Chi-Square and Ordinal regression. Results: Of the participations73.6% were overweight or obese. Median and interquartile range (IQR of  physical activity facilitators was 75 and 33 respectively. The most prominent  physical activity facilitators was" physical activity increases my physical ability, (83.2%. There was a significantly inverse relationship between  physical activity facilitators  score and BMI of participants (r=-0.233, P=0.001. Ordinal regression evealed that mostly predictor of  BMI among  physical activity facilitators was "physical activity improves the quality of my work " (OR=8.683, P=0.001. Conclusion: Results identified  physical activity facilitators directly is related to improve physical circumstances of the elderly people. Surly poviding  physical activity facilitators through educational and interventional programs may improve the health status of aging population.

  7. Different body mass index grade on the risk of developing glioma: a meta-analysis

    Institute of Scientific and Technical Information of China (English)

    Zifeng Dai; Qilin Huang; Haipeng Liu

    2015-01-01

    Background: Previous studies reported conflicting results about the risk of developing glioma and different body mass index.So we decided to execute a meta-analysis to solve the dispute.Methods: Comprehensive literature retrieval was carried in PubMed, MEDLINE, and EMBASE up to September 15, 2014.Hand literature information retrieval was not carried.Six studies were fit for this meta-analysis.Pooled hazard ratio (HR) and 95 % confidence interval (CI) of different body mass index grade were performed by fixed/random-effects models, except for normal weight which was referent.Results: Data of 3726 cases were included.Compared with normal weight (20 kg.m-2 < body mass index (BMI) ≤ 24.9 kg.m-2), the underweight (BMI ≤ 20 kg.m-2) might have lower incidence on the risk of developing glioma (HR =1.08, 95 % CI ranged 0.74 to 1.58, P =0.678).While the overweight (25 kg.m-2 < BMI ≤ 29.9 kg.m-2)and obesity (BMI ≥ 30 kg.m-2) were performed as a risk factor of developing glioma.The pooled HR of overweight group was 1.12 (95 % CI ranged 1.02 to 1.22, P=0.013);the pooled HR of obesity was 1.14 (95 % CI ranged 1.02 to 1.27, P =0.017).Sensitivity analysis approved that our results were stable.There was no publication bias of these studies.Conclusions: Underweight could decrease the risk of developing glioma.Excess BMI was considered as a risk factor to develop glioma.

  8. Association of Maternal Body Mass Index with Adverse Maternal and Prenatal Outcomes

    Directory of Open Access Journals (Sweden)

    Rahele Alijahan

    2013-09-01

    Full Text Available Background: The present study aimed to determine association between abnormal maternal body mass index and adverse maternal/prenatal outcomesMaterials and Methods: In this descriptive-correlation study 8270 pregnant women referred to rural and urban health centers of Ardabil district (from Mar 2009 to Dec 2010 were studied. Data were collected from prenatal healthcare records using a self designed questionnaire. Women with twin pregnancy, less than 18 and above 35 of age, and women with systemic or chronic disease were excluded from the study. The variables examined in this study include, demographic information (e.g. age, social and economy status, and literacy, present pregnancy information (e.g. parity, hemoglobin level, gestational diabetes, preeclampsia and prenatal information (e.g. preterm delivery, low birth weight, and congenital malformation. Data were analyzed through Kruscal wallis, chi-square, and logistic regression tests using SPSS-16.Results: Eight point two, 25 and 15.4% pregnant of women were underweight, overweight, and obese, respectively. Obese women were at increased risk for macrosomia (OR=1.820, CI: 1.345-2.447, p=0.001, unwanted pregnancy (OR= 1.436, CI: 1.198-1.720, p=0.001, pregnancy induced hypertension (OR= 1.633, CI: 1.072-2.486, p=0.022, preeclampsia (OR= 4.666, CI: 2.353-9.2550, p=0.001, and still birth (OR= 2.602, CI: 1.306-5.184, p=0.007. However, the risk of low birth weight delivery in underweight women were 1.6 times higher than the normal cases (OR= 1.674, CI: 0962-2.912, p=0.068.Conclusion: Considering high prevalence of abnormal maternal body mass index and its associated adverse maternal and prenatal outcomes; consultation before pregnancy is recommended in order to achieve normal body mass index and reduce the relevant complications.

  9. Genetic studies of body mass index yield new insights for obesity biology.

    Science.gov (United States)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Hua Zhao, Jing; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Ida Chen, Yii-Der; Clarke, Robert; Daw, E Warwick; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Sin Lo, Ken; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Vernon Smith, Albert; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; Van't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Cupples, L Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Hovingh, G Kees; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J Wouter; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Slagboom, P Eline; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-02-12

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

  10. Body Mass Index and Risk of Infections Among Women in the Danish National Birth Cohort

    DEFF Research Database (Denmark)

    Harpsøe, Maria C; Nielsen, Nete M; Friis-Møller, Nina;

    2016-01-01

    We investigated the possible association between body mass index (BMI; weight (kg)/height (m)(2)) and hospitalization or treatment for acute infection in a prospective cohort study. We linked 75,001 women enrolled in the Danish National Birth Cohort from 1996 to 2002, who had information on BMI...... and a broad range of confounders, to data on infectious diseases and use of antimicrobial agents from the National Patient Register and the Danish Prescription Register. Associations were tested using Cox proportional hazards models. During 12 years of follow-up, we observed a U-shaped association between...

  11. Association between body mass index and pulmonary function of patients with chronic obstructive pulmonary disease

    Institute of Scientific and Technical Information of China (English)

    QIU Ting; TANG Yong-jiang; XU Zhi-bo; XU Dan; XIAO Jun; ZHANG Ming-ke; FENG Yu-lin; WANG Ke

    2009-01-01

    @@ Chronic obstructive pulmonary disease (COPD) is a major cause of chronic morbidity and mortality throughout the world. It is a preventable and treatable disease with significant extra pulmonary effects that may contribute to the severity in individual patients. It is characterized by airflow limitation that is not fully reversible,1 The diagnosis of COPD should be confirmed by spirometry. Body mass index (BMI) is an important indicator that can well reflect nutritional status of patients, and low BMI is an independent risk factor for mortality in patients with COPD.2

  12. Associations between body mass index and development of metabolic disorders in fertile women

    DEFF Research Database (Denmark)

    Schmiegelow, Michelle Dalgas; Andersson, Charlotte; Køber, Lars

    2014-01-01

    BACKGROUND: Metabolic disorders are relatively uncommon in young women, but may increase with obesity. The associations between body mass index (BMI) and risks of diabetes, hypertension, and dyslipidemia in apparently healthy, young women have been insufficiently investigated, and are the aims...... of this study. METHODS AND RESULTS: Women giving birth during the years 2004-2009, with no history of cardiovascular disease, renal insufficiency, pregnancy-associated metabolic disorders, diabetes, hypertension, or dyslipidemia were identified in nationwide registers. Women were categorized as underweight (BMI...

  13. Effect of body mass index on clinical and morphological characteristics of triple negative breast cancer

    Directory of Open Access Journals (Sweden)

    I. B. Schepotin

    2014-01-01

    Full Text Available Triple negative breast cancer phenotype characterized by a more aggressive than other molecular types of tumor. In addition to non-modifiable clinical and pathological factors of aggressiveness of triple negative breast cancer is caused by potentially modifiable lifestyle (obesity, alcohol consumption, hypodynamia etc.. In this study we investigated the relationship between body mass index at diagnosis, clinical and morphological outcome predictors, and the impact of obesity on overall and disease-free survival of patients with triple negative breast cancer.

  14. Childhood body mass index and height and risk of histologic subtypes of endometrial cancer

    DEFF Research Database (Denmark)

    Aarestrup, J.; Gamborg, M.; Ulrich, L. G.;

    2016-01-01

    . METHODS: From the Copenhagen School Health Records Register, 155 505 girls born 1930-1989 with measured weights and heights from 7 to 13 years were linked to health registers. BMI and height were transformed to age-specific z-scores. Hazard ratios (HRs) and 95% confidence intervals were estimated by Cox......BACKGROUND: Endometrial cancer risk factors include adult obesity and taller stature, but the influence of size earlier in life is incompletely understood. We examined whether childhood body mass index (BMI; kg m(-2)) and height were associated with histologic subtypes of endometrial cancer...

  15. Association between body mass index and caries among children and adolescents

    DEFF Research Database (Denmark)

    Lempert, Susanne M; Froberg, Karsten; Christensen, Lisa;

    2013-01-01

    OBJECTIVE: The aim of this article was to examine the relationship between childhood caries, body mass index (BMI) and subsequent changes in BMI over 6 years, and to investigate whether these associations were modified by social class. METHODS: Data were from the European Youth Heart Study (EYHS...... and subsequent changes in BMI was found, but only among children with well-educated mothers, suggesting that high caries experience may be a marker for low future risk of overweight among the more advantaged. Associations did not appear to be significant among the less advantaged; however, numbers in this group...

  16. [Childhood body mass index and the risk of coronary heart disease in adulthood

    DEFF Research Database (Denmark)

    Baker, Jennifer Lyn; Olsen, L.W.; Sørensen, Thorkild I.A.

    2008-01-01

    The severity of the long term consequences of the current childhood obesity epidemic on coronary heart disease is unknown. Therefore we investigated the association between body mass index (BMI) at ages 7-13 years and heart disease in adulthood among 276,835 Danish schoolchildren. We found...... that higher BMI during this period of childhood is associated with an increased risk of any, non-fatal and fatal heart disease in adulthood. Worldwide, as children are becoming heavier, our findings suggest that greater numbers of children are at risk of having coronary heart disease in adulthood...

  17. Body mass index i barndommen og risikoen for koronar hjertesygdom i voksenlivet - sekundærpublikation

    DEFF Research Database (Denmark)

    Baker, Jennifer L; Olsen, Lina Wøhlk; Sørensen, Thorkild I A

    2008-01-01

    The severity of the long term consequences of the current childhood obesity epidemic on coronary heart disease is unknown. Therefore we investigated the association between body mass index (BMI) at ages 7-13 years and heart disease in adulthood among 276,835 Danish schoolchildren. We found...... that higher BMI during this period of childhood is associated with an increased risk of any, non-fatal and fatal heart disease in adulthood. Worldwide, as children are becoming heavier, our findings suggest that greater numbers of children are at risk of having coronary heart disease in adulthood....

  18. Change in Body Mass Index Associated With Lowest Mortality in Denmark, 1976-2013

    DEFF Research Database (Denmark)

    Afzal, Shoaib; Tybjærg-Hansen, Anne; Jensen, Gorm B

    2016-01-01

    IMPORTANCE: Research has shown a U-shaped pattern in the association of body mass index (BMI) with mortality. Although average BMI has increased over time in most countries, the prevalence of cardiovascular risk factors may also be decreasing among obese individuals over time. Thus, the BMI...... population enrolled at different times: the Copenhagen City Heart Study in 1976-1978 (n = 13,704) and 1991-1994 (n = 9482) and the Copenhagen General Population Study in 2003-2013 (n = 97,362). All participants were followed up from inclusion in the studies to November 2014, emigration, or death, whichever...

  19. Overlapping decline in orbitofrontal gray matter volume related to cocaine use and body mass index.

    Science.gov (United States)

    Smith, Dana G; Jones, P Simon; Williams, Guy B; Bullmore, Edward T; Robbins, Trevor W; Ersche, Karen D

    2015-01-01

    Loss of control over hedonically motivated actions is a defining component of impulse control disorders, such as drug dependence and the proposed 'food addiction' model of obesity. Devolution from goal-directed to compulsively maintained behaviors is partially attributed to abnormalities in the orbitofrontal cortex, an area critical in reward valuation. In the current study, overlapping reductions in orbitofrontal gray matter volume relating to body mass index were seen in healthy control and cocaine-dependent individuals, as well as in relation to duration of cocaine abuse, providing support for a shared neuropathology between the two conditions potentially related to dysfunctional reward-seeking behavior.

  20. Association of central serotonin transporter availability and body mass index in healthy Europeans

    DEFF Research Database (Denmark)

    Hesse, Swen; van de Giessen, Elsmarieke; Zientek, Franziska

    2014-01-01

    UNLABELLED: Serotonin-mediated mechanisms, in particular via the serotonin transporter (SERT), are thought to have an effect on food intake and play an important role in the pathophysiology of obesity. However, imaging studies that examined the correlation between body mass index (BMI) and SERT...... are sparse and provided contradictory results. The aim of this study was to further test the association between SERT and BMI in a large cohort of healthy subjects. METHODS: 127 subjects of the ENC DAT database (58 females, age 52 ± 18 years, range 20-83, BMI 25.2 ± 3.8 kg/m(2), range 18.2-41.1) were...

  1. Children’s body mass index and nutrition intake in HIV/AIDS

    OpenAIRE

    LIN, CHINQING; Li, Li; Ji, Guoping; Wu, Sheng; Semaan, Alan

    2008-01-01

    HIV/AIDS in China poses many challenges for caregivers and their children. A total of 154 caregivers of HIV/AIDS-affected families were interviewed to examine the children’s nutrition intake and body mass index (BMI) in the context of HIV/AIDS in the family. The results showed that 25% of children in HIV/AIDS-affected families were underweight or at risk of being underweight according to US criteria. More than half the children reported that their consumption of protein such as meat, eggs or ...

  2. Genetic studies of body mass index yield new insights for obesity biology

    DEFF Research Database (Denmark)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.;

    2015-01-01

    , and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous systemin obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling......Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339...

  3. Associations among eating regulation and body mass index, weight, and body fat in college students: the moderating role of gender.

    Science.gov (United States)

    Gropper, Sareen S; Arsiwalla, Dilbur D; Lord, Denali C; Huggins, Kevin W; Simmons, Karla P; Ulrich, Pamela V

    2014-04-01

    This study investigated associations between eating regulation behaviors and body mass index (BMI), weight, and percent body fat in male and female students over the first two years of college. Subjects included 328 college students (215 females and 113 males). Height and weight (via standard techniques), body composition (via bioelectrical impedance analysis), and eating regulation behaviors (using the Regulation of Eating Behavior Scale) were conducted two to three times during both the freshman and sophomore years. Significant associations between eating regulation and BMI, weight, and/or percent body fat were shown mostly in females. In females, higher BMI, weight, and/or percent body fat at the end of the second year of college were found in those with low levels of autonomous, intrinsic motivation, and identified regulation, and high levels of amotivation, while lower BMI, weight, and/or percent body fat were associated with high levels of autonomous, intrinsic motivation, and identified regulation, and low levels of amotivation. The findings that specific eating behaviors in females during the first two years of college influence BMI, weight, and/or percent body fat may be useful for inclusion in university programs focused on college student health to help decrease the risk of obesity and disordered eating/eating disorders in female college students.

  4. Increased body mass index is a predisposition for treatment by total hip replacement

    DEFF Research Database (Denmark)

    Jacobsen, Steffen; Sonne-Holm, Stig

    2005-01-01

    We investigated the radiological and epidemiological data of 4,151 subjects followed up from 1976 to 2003 to determine individual risk factors for hip osteoarthritis (OA), hip pain and/or treatment by total hip replacement (THR). Pelvic radiographs recorded in 1992 were assessed for evidence of hip......-joint degeneration and dysplasia. Sequential body mass index (BMI) measurements from 1976 to 1992, age, exposure to daily lifting and hip dysplasia were entered into logistic regression analyses. The prevalence of hip dysplasia ranged from 5.4% to 12.8% depending on the radiographical index used. Radiological hip OA...... prevalence was 1.0--2.5% in subjects subjects >or=60 years of age. While radiological OA was significantly influenced by hip dysplasia in men and hip dysplasia and age in women, the risk of THR being performed was only influenced by BMI assessed in 1976. Hip...

  5. Stagnation in body mass index in Denmark from 1997/1998 to 2004/2005, but with geographical diversity

    DEFF Research Database (Denmark)

    Svendstrup, Mathilde; Knudsen, Nils Jacob; Jørgensen, Torben;

    2011-01-01

    We analyzed the trend in body mass index (BMI) as well as in the prevalence of overweight and obesity among Danish adults, mainly women, from 1997/1998 to 2004/2005 and evaluated any regional differences....

  6. Differential effects of cigarette smoking on birth weight by maternal body mass index.

    Science.gov (United States)

    Heinz-Partington, Sean; Condous, George; Mongelli, Max

    2016-07-01

    Links between low birth weight and tobacco exposure in utero are well established, as are associations between maternal body mass index (BMI) and birth weight. This study further develops those relationships. In particular, this article analyses whether high maternal weight acts to dampen the previously established link between tobacco exposure and low birth weight. A retrospective cohort study was undertaken, reviewing the birth weights of 13,473 live singleton pregnancies born at a Sydney regional hospital between 1998 and 2003. Results demonstrated a statistically significant decline in reduced birth weight as BMI increased. That is, as body weight increases, tobacco use has a smaller effect on reducing birth weight. Inversely, the effect on reducing birth weight for each cigarette smoked by leaner women was greater. In effect, the adverse influence of tobacco use on birth weight appears to be modulated by increasing maternal BMI.

  7. Height, weight and body mass index in early adulthood and risk of schizophrenia

    DEFF Research Database (Denmark)

    Sørensen, Holger Jelling; Mortensen, E L; Reinisch, J M;

    2006-01-01

    individuals born between 1959 and 1961. In 1999, cases of schizophrenia were identified in the Danish Psychiatric Central Register, and the cases were compared with the cohort pool of controls with respect to height, weight, and BMI from draft records. The effect of low BMI was adjusted for parental social......OBJECTIVE: To illuminate the possible associations between height, weight, and body mass index (BMI) during early adulthood and the development of schizophrenia. METHOD: This prospective study is based on an all-male sample of 3210 individuals from the Copenhagen Perinatal Cohort, comprising...... status when the cohort members were 1 year old, birth weight, birth length, and maternal pre-pregnancy BMI. RESULTS: Forty-five cases of schizophrenia had a lower young adult mean body weight and BMI than controls. A significant inverse relationship between BMI and risk of later schizophrenia was found...

  8. Brain serotonin 2A receptor binding: Relations to body mass index, tobacco and alcohol use

    DEFF Research Database (Denmark)

    Erritzoe, D.; Frokjaer, V. G.; Haugbol, S.

    2009-01-01

    Manipulations of the serotonin levels in the brain can affect impulsive behavior and influence our reactivity to conditioned reinforcers. Eating, tobacco smoking, and alcohol consumption are reinforcers that are influenced by serotonergic neurotransmission; serotonergic hypofunction leads...... receptor (5-HT(2A)) in humans, we tested in 136 healthy human subjects if body mass index (BMI), degree of alcohol consumption and tobacco smoking was associated to the cerebral in vivo 5-HT(2A) receptor binding as measured with (18)F-altanserin PET. The subjects' BMI's ranged from 18.4 to 42.8 (25...... to increased food and alcohol intake, and conversely, stimulation of the serotonergic system induces weight reduction and decreased food/alcohol intake as well as tobacco smoking. To investigate whether body weight, alcohol intake and tobacco smoking were related to the regulation of the cerebral serotonin 2A...

  9. Height, weight and body mass index in early adulthood and risk of schizophrenia

    DEFF Research Database (Denmark)

    2006-01-01

    status when the cohort members were 1 year old, birth weight, birth length, and maternal pre-pregnancy BMI. RESULTS: Forty-five cases of schizophrenia had a lower young adult mean body weight and BMI than controls. A significant inverse relationship between BMI and risk of later schizophrenia was found....... No significant differences between cases and controls were observed with respect to adult height. CONCLUSION: Independent of several possible confounders, an inverse relationship between young adult BMI and risk of later development of schizophrenia was demonstrated in this all-male sample.......OBJECTIVE: To illuminate the possible associations between height, weight, and body mass index (BMI) during early adulthood and the development of schizophrenia. METHOD: This prospective study is based on an all-male sample of 3210 individuals from the Copenhagen Perinatal Cohort, comprising...

  10. Association Between Dental Caries and Body Mass Index Among Hamedan Elementary School Children in 2009

    Directory of Open Access Journals (Sweden)

    M. Haeri Maybodi

    2011-12-01

    Full Text Available Objective: Excessive weight in children is a major public health concern. The intake of refined carbohydrates, especially sugars and the prevalence of dental caries are well documented in the literature. The purpose of this study was to investigate the relationship between dental caries and BMI in elementary school children.Materials and Methods: The sampling technique used in the present study was a cluster random sampling. A total of 1000 pupils (500 girls, 500 boys aged 6-11 years from 20 private and state elementary schools (10 boys, 10 girls. The weight status was measured in children by assessment of body mass index (BMI (=bodyweight/body height2 kg/m2 corresponding to gender and age-ranked percentages.To assess the caries frequency the decayed filled teeth (DFT index for permanent dentition and the dft index for primary dentition were used since they give good perception about the situation of tooth caries in young patients.Results: The highest mean total dft/DFT was seen in normal weight and lowest average in at risk of overweight children. There was not a statistically significant relationship found between high weight and caries frequency in the first (p=0.08 and permanent dentitions (p=0.06.Conclusion: The results of this preliminary study do not support an association between dental caries and obesity.

  11. Effect of gender on correlation of anaemia with body mass index in medical students.

    Science.gov (United States)

    Saxena, Yogesh; Shrivastava, Abha; Saxena, Vartika

    2011-01-01

    Nutritional anemia exists globally and cuts across all the sections of the population. Adolescent being formative years in life are more susceptible to nutritional anemia. Considerable changes in growth pattern, lifestyle, dietary habits & behavior are likely to influence the hemoglobin levels among male and females of high income group. Study was done to assess the level of anemia among medical students and it's relation to Body mass index (BMI) among medical students. 200 healthy medical students at the Himalayan Institute of Medical Sciences belonging to both the sexes were taken in the study. Following consent anthropometry was conducted using standard protocol. Body Mass Index of >/= 18.5 kg/m2 is used to define undernutrition. Hemoglobin was estimated in gram %. Statistical analyses was done using mean .Standard deviation, Student's t test, and was studied for effect of gender on correlation of anemia with BMI. 8% of the students of MBBS were found to be anemic (Hb anemia and under nutrition exist among female medical students who are literate, and have free access to the nutritive diet in a good healthy environment.

  12. Association between body mass index and recovery from whiplash injuries: a cohort study.

    Science.gov (United States)

    Yang, Xiaoqing; Côté, Pierre; Cassidy, J David; Carroll, Linda

    2007-05-01

    It is hypothesized that excess weight is a risk factor for delayed recovery from neck pain, such as from whiplash injuries. However, the association between obesity and recovery from whiplash injury has not been studied. The authors examined the association between body mass index and time to recovery from whiplash injuries in a population-based cohort study of traffic injuries in Saskatchewan, Canada. The cohort included 4,395 individuals who made an insurance claim to Saskatchewan Government Insurance and were treated for whiplash injury between July 1, 1994, and December 31, 1995. Of those, 87.7% had recovered by November 1, 1997. No association was found between baseline body mass index and time to recovery. Compared with individuals with normal weight, those who were underweight (hazard rate ratio = 0.88, 95% confidence interval: 0.73, 1.06), overweight (hazard rate ratio = 1.01, 95% confidence interval: 0.94, 1.09), and obese (hazard rate ratio = 0.99, 95% confidence interval: 0.90, 1.08) had similar rates of recovery, even after adjustment for other factors. The results do not support the hypothesis that individuals who are overweight or obese have a worse prognosis for whiplash.

  13. Correlation between body mass index and the risk factors and severity of coronary artery disease

    Directory of Open Access Journals (Sweden)

    Jing LI

    2011-04-01

    Full Text Available Objective To assess the correlation between body mass index and the risk factors and severity of coronary artery disease.Methods Five thousand two hundred and ninety-four patients with suspected coronary artery disease,who underwent coronary angiography from Jan.2001 to Mar.2007 at 20 medical centers in China,were enrolled in the present study.The patients were divided into normal,overweight and obesity group,and body mass index(BMI,blood pressure(BP,blood glucose,serum total cholesterol(TC,triglyceride(TG,low-density lipoprotein cholesterol(LDL-C and high-density lipoprotein cholesterol(HDL-C were measured.The correlation between BMI and the risk factors and severity of coronary artery disease(CAD was analyzed.And the correlation between gender in different BMI group and CAD rick factors was also evaluated.Results The BMI was correlated with BP,TC,blood glucose,age and HDL-C(P 0.05 in male group.The BMI was correlated with BP,TC,TG,LDL-C and high blood glucose(P 0.05 in female group.Logistic regression analysis showed that hypertension was a prominent predictor of overweight and obesity(OR=2.102,95%CI 1.762~2.509.Conclusion BMI is significantly correlated with blood glucose,BP,TG,TC,LDL-C and HDL-C,but it is not an independent risk factor for CAD.

  14. Body mass index as a prognostic factor in organophosphate-poisoned patients.

    Science.gov (United States)

    Lee, Duk Hee; Jung, Koo Young; Choi, Yoon Hee; Cheon, Young Jin

    2014-07-01

    Organophosphate poisoning is a serious clinical entity and considerable morbidity and mortality. Several factors have been identified to predict outcomes of organophosphate poisoning. Organophosphates are lipophilic and therefore predicted to have a large volume of distribution and to rapidly distribute into tissue and fat. Thus, toxic effects of organophosphate would be expected to last longer in obese patients. We investigated the relationship between obesity and clinical course in 112 acute organophosphate-poisoned patients from an initial medical record review of 234 patients. One hundred twenty-two patients were excluded: 6 were children, 14 had an uncertain history of exposure and of uncertain agent, 10 were transferred to another hospital, 67 were discharged from the emergency department because their toxicity was mild, 21 had carbamate poisoning, and 4 did not have height or weight checked. Clinical features, body mass index, Glasgow Coma Scale, laboratory findings, serum cholinesterase activity, electrocardiogram finding, management, and outcomes were examined. The lipid solubility of the implicated organophosphate was characterized by its octanol/water coefficient. Forty of 112 patients were obese. Obese patients who were poisoned by high lipophilicity organophosphate compounds had a need for longer use of mechanical ventilation, intensive care unit care, and total length of admission. Body mass index can provide a guide to physicians in predicting clinical course and management in organophosphate-poisoned patients.

  15. The Relationship between dental status, body mass index and nutrient intake

    Directory of Open Access Journals (Sweden)

    Roodabeh Koodaryan

    2014-07-01

    Full Text Available Introduction: Nutrition is one of the basic requirements for growth and development. In all the age groups, good oral health is necessary for masticatory efficacy, sense of taste, deglutition, articulation and aesthetics. The aim of this study was to assess the relationship between tooth loss and food intake in a group of middle aged population. Materials and Methods: A total number of 200 participants with age range of 40-60 years were chosen and divided into four groups. The study population was classified into one of four groups by number of permanent teeth present. Required data for the study were gathered by interviews, oral and dental examinations, anthropometric measurements and 24-hour dietary recall. Data were analyzed statistically by descriptive methods, Variance test, Kruskal-Wallis test and Pearson’s chi-square test. Results: Statistical analysis proved that, by controlling important confounding factors, individuals with more teeth had higher mean body mass index, weight, height, energy and nutrient intake compared to those with fewer teeth. Conclusion: Food intake and nutritional status are associated with oral health status and number of teeth.   Key words: Body mass index; Food intake; Tooth loss

  16. Sonographic evaluation of plantar fasciitis and relation to body mass index

    Energy Technology Data Exchange (ETDEWEB)

    Ozdemir, Huseyin [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey)]. E-mail: ozdemir@firat.edu.tr; Yilmaz, Erhan [Department Orthopedic Firat University, Faculty of Medicine, Elazig (Turkey); Murat, Ayse [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey); Karakurt, Lokman [Department Orthopedic Firat University, Faculty of Medicine, Elazig (Turkey); Poyraz, A. Kursad [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey); Ogur, Erkin [Department of Radiology Firat University, Faculty of Medicine, Elazig 23119 (Turkey)

    2005-06-01

    Purpose: We have investigated the role of sonography in the diagnosis of plantar fasciitis. Materials and methods: This study evaluates 39 patients with plantar fasciitis and control group of 22 healthy volunteers. The plantar fascia thickness was measured 5 mm distal to the insertion of the calcaneus of plantar aponeurosis. Qualitative parameters such as decreased echogenity, biconvexity, perifascial fluid and calcification of plantar fascia were also noted. Results: Mean plantar fascia thickness was measured 2.9 mm in patients with unilateral heel pain, 2.2 mm for contralateral normal heel and 2.5 mm for control group. There was a statistically significant difference between heel with plantar fasciitis, contralateral normal heel and control groups (p = 0.009 and 0.0001, respectively). Mean body mass index was 28 kg/m{sup 2} in patients with heel pain and 25 kg/m{sup 2} in control group. Body mass index measurements were significantly different between plantar fasciitis and control groups. We found reduced plantar fascia echogenity in 16 cases (41%), calcaneal spur in 20 cases (51%), biconvex appearance in two cases (5.1%) and perifascial fluid in one case (2.5%). Conclusion: We conclude that in patients with plantar fasciitis, ultrasound may detect relatively small differences in plantar fascia thickness even in clinically unequivocal plantar fasciitis.

  17. Self-compassion moderates the relationship between body mass index and both eating disorder pathology and body image flexibility.

    Science.gov (United States)

    Kelly, Allison C; Vimalakanthan, Kiruthiha; Miller, Kathryn E

    2014-09-01

    The current study examined whether self-compassion, the tendency to treat oneself kindly during distress and disappointments, would attenuate the positive relationship between body mass index (BMI) and eating disorder pathology, and the negative relationship between BMI and body image flexibility. One-hundred and fifty-three female undergraduate students completed measures of self-compassion, self-esteem, eating disorder pathology, and body image flexibility, which refers to one's acceptance of negative body image experiences. Controlling for self-esteem, hierarchical regressions revealed that self-compassion moderated the relationships between BMI and the criteria. Specifically, the positive relationship between BMI and eating disorder pathology and the negative relationship between BMI and body image flexibility were weaker the higher women's levels of self-compassion. Among young women, self-compassion may help to protect against the greater eating disturbances that coincide with a higher BMI, and may facilitate the positive body image experiences that tend to be lower the higher one's BMI.

  18. Cytokine responses in relation to age, gender, body mass index, Mycobacterium tuberculosis infection, and otitis media among inuit in greenland

    DEFF Research Database (Denmark)

    Nielsen, Nina Odgaard; Soborg, Bolette; Børresen, Malene

    2013-01-01

    To evaluate the cytokine response pattern in Inuit in Greenland in relation to age, gender, body mass index (BMI), Mycobacterium tuberculosis infection (MTI), and otitis media (OM) to assess whether Inuit may have signs of impaired immune responsiveness to infection.......To evaluate the cytokine response pattern in Inuit in Greenland in relation to age, gender, body mass index (BMI), Mycobacterium tuberculosis infection (MTI), and otitis media (OM) to assess whether Inuit may have signs of impaired immune responsiveness to infection....

  19. The relationship between body mass index and sexual function in infertile women: A cross-sectional survey

    OpenAIRE

    Safieh Jamali; Hossein Zarei; Athar Rasekh Jahromi

    2014-01-01

    Background: Infertility as the bitterest life experience can affect sexual function. Many studies have shown agitation, depression, marital dissatisfaction, and sexual dysfunction as the psychological outcomes resulting from infertility. Many factors, including body mass index, influence the female sexual function. Objective: This study aimed to assess the prevalence of female sexual dysfunction and the relationship between sexual function and body mass index in the Iranian infertile women wh...

  20. Assessment of nutritional status in adult patients with cystic fibrosis: whole-body bioimpedance vs body mass index, skinfolds, and leg-to-leg bioimpedance

    NARCIS (Netherlands)

    Hollander, F.M.; Roos, de N.M.; Vries, de J.H.M.; Berkhout, van F.T.

    2005-01-01

    Objective: To investigate whether body mass index (BMI) or body fat percentage estimated from BMI, skinfolds, or leg-to-leg bioimpedance are good indicators of nutritional status in adult patients with cystic fibrosis. Body fat percentage measured by whole-body bioimpedance was used as the reference

  1. Central Body Fat Distribution Associates with Unfavorable Renal Hemodynamics Independent of Body Mass Index

    NARCIS (Netherlands)

    Kwakernaak, Arjan J.; Zelle, Dorien M.; Bakker, Stephan J. L.; Navis, Gerjan

    2013-01-01

    Central distribution of body fat is associated with a higher risk of renal disease, but whether it is the distribution pattern or the overall excess weight that underlies this association is not well understood. Here, we studied the association between waist-to-hip ratio (WHR), which reflects centra

  2. Comparison of Body Adiposity Index (BAI) and Body Mass Index (BMI) with Estimations of % Body Fat in Clinically Severe Obese Women

    OpenAIRE

    Geliebter, Allan; Atalayer, Deniz; Flancbaum, Louis; Gibson, Charlisa D.

    2013-01-01

    Body Adiposity Index (BAI), a new surrogate measure of body fat (hip circumference/[height1.5 -18]), has been proposed as an alternative to BMI. We compared BAI with BMI, and each of them with laboratory measures of body fat-derived from bioimpedance analysis (BIA), air displacement (ADP), and dual-energy x-ray absorptiometry (DXA) in clinically severe obese (CSO) participants. Nineteen pre-bariatric surgery CSO, non-diabetic women were recruited (age=32.6±7.7 SD; BMI=46.5±9.0 kg/m2). Anthrop...

  3. The relationship between body mass index and self-concept among adolescent black female university students.

    Science.gov (United States)

    Bodiba, P; Madu, S N; Ezeokana, J O; Nnedum, O A U

    2008-03-01

    The study investigated the relationship between body mass index and self-concept among adolescent black female university students. The study used a mixed research design (quantitative and qualitative methods). Media images of handsome faces and beautiful bodies are used to sell almost everything, from clothes and cosmetic to luncheon, meats, and so on. These images reinforce the western cultural stereotype that women should be thin and shapely to be attractive. Thus, as some girls go through puberty they may become dissatisfied with their weight, and to a lesser extent, with their shape, thus, developing low self-concept or imae of themselves. It is in this context that the study was conceptualised. First year female students from three different Schools and Faculties at the University of Limpopo, Turfloop Campus, South Africa, participated in the study. Using the availability and convenient sampling method, 75 students were selected for this study. For the quantitative aspect of the study, the Rosenberg Self-esteem Measure was used to measure self-esteem. For the qualitative part, a topic guide was used for the focus group discussions. Analysis of Variance (ANOVA) and the Pearson's Product Moment Correlation were used to analyse the quantitative data, while the phenomenological principle of open coding used for the thematic analysis. Results showed that there is a relationship between body mass and self-concept and that overweight participants tend to have a low self-esteem. Low self-esteem was perceived to be aggravated by a number of factors, like the attitude of the media and the society. Participants who are overweight also indicated that they are limited in certain activities of daily living (e.g., sports) as a result of their body mass. They expressed mixed feelings and frustration when it comes to such activities. The above results did not differ from those reported from western cultures. Support groups, life-skills programmes and psychotherapy should be

  4. The Relationship Between Body Fat Percentage and Body Mass Index in Overweight and Obese Individuals in an Urban African Setting

    Science.gov (United States)

    Phillips, Julie S.; Igumbor, Ehimario U.

    2016-01-01

    The increase in the prevalence of overweight and obesity in both developed and developing countries is associated with musculoskeletal and other non-communicable diseases. To address this, an accurate measure of body adiposity, bearing in mind several shortcomings of body mass index (BMI), should be used. This study determined the relationship between BMI and body fat (BF)% among adult Nigerians of different ethnic groups residing in an urban setting. Using multistage cluster sampling technique were recruited 1571 subjects (>18 years; male=51.2%) in a cross-sectional study. Body adiposity indices were assessed using BMI and BF%. Using BF%, the result shows that a total number of 156 (9.9%) had low BF% while 291 (18.5%) had very high BF%, while the BMI classifications of body adiposity, 68 (4.3%) were underweight while 271 (17.3%) were obese. There was a strong and positive statistical relationship between BF% and BMI when both were paired without controlling for gender and age (r=0.81, PBMI and BF%, and age and sex are predictors of this association.

  5. Structural and interpersonal characteristics of family meals: associations with adolescent body mass index and dietary patterns.

    Science.gov (United States)

    Berge, Jerica M; Jin, Seok Won; Hannan, Peter; Neumark-Sztainer, Dianne

    2013-06-01

    The last decade of research has suggested that family meals play an important role in promoting healthful dietary intake in youth. However, little is known about the structural characteristics and interpersonal dynamics of family meals that might help to inform why family meals are protective for youth. The current mixed methods, cross-sectional study conducted in 2010-2011 includes adolescents and parents who participated in two linked population-based studies. Participants included 40 parents (91.5% female) and adolescents (57.5% female) from the Minneapolis/St Paul, MN, area participating in EAT (Eating and Activity Among Teens) 2010 and F-EAT (Families and Eating and Activity Among Teens). The structural (eg, length of the meal, types of foods served) and interpersonal characteristics (eg, communication, emotion/affect management) of family meals were described, and associations between interpersonal dynamics at family meals and adolescent body mass index and dietary intake were examined via direct observational methods. Families were videorecorded during two mealtimes in their homes. Results indicated that family meals were approximately 20 minutes in length, included multiple family members, were typically served family style (70%), and occurred in the kitchen 62% of the time and 38% of the time in another room (eg, family room, office). In addition, significant associations were found between positive interpersonal dynamics (ie, communication, affect management, interpersonal involvement, overall family functioning) at family meals and lower adolescent body mass index and higher vegetable intake. These findings add to the growing body of literature on family meals by providing a better understanding of what is happening at family meals in order to inform obesity-prevention studies and recommendations for providers working with families of youth.

  6. Association of body mass index and the depletion of nigrostriatal dopamine in Parkinson's disease.

    Science.gov (United States)

    Lee, Jae Jung; Oh, Jungsu S; Ham, Jee H; Lee, Dong H; Lee, Injoo; Sohn, Young H; Kim, Jae S; Lee, Phil Hyu

    2016-02-01

    Several antecedent studies had reported close relationship between low body weight and Parkinson's disease (PD). However, there have been few investigations about the role of body weight to nigrostriatal dopaminergic neurodegeneration. This study enrolled 398 de novo patients with PD whom underwent [18F] N-(3-Fluoropropyl)-2β-carbon ethoxy-3β-(4-iodophenyl) nortropane positron emission tomography scan and body mass index (BMI) measurement. The relationships between BMI and dopamine transporter (DAT) activity were analyzed using linear regression analysis. A multivariate analysis adjusted for age, gender, disease duration, smoking status, coffee and tea consumption, and residence area revealed that BMI remained independently and significantly associated with DAT activity in all striatal subregions. Moreover, multiple logistic regression analyses showed that BMI was a significant predictor for the lowest quartile of DAT activity in the anterior putamen, ventral striatum, caudate nucleus, and total striatum. The present findings suggest that a low BMI might be closely associated with low density of nigrostriatal dopaminergic neurons in PD, which could support the evidence for the role of low body weight to PD-related pathologies.

  7. Influencing Factors of the Body Mass Index of Elementary Students in Southern Taiwan

    Directory of Open Access Journals (Sweden)

    Li-Na Chou

    2017-02-01

    Full Text Available The body mass index (BMI of school children in Taiwan is markedly increasing. According to statistical data from the Taiwan Ministry of Education, the prevalence of obesity in school children from the southern part of the country is the highest in Taiwan. Thus, exploring the factors influencing BMI in elementary school children from southern Taiwan is crucial. This study investigated the influencing factors including physical activity levels, sedentary behaviors, dietary habits, and perceived body shape on the BMIs of elementary school children from southern Taiwan. A cross-sectional design was used, and the participants consisted of 3251 fifth-grade students (1628 boys, 50.1%; 1623 girls, 49.9%. The average BMI values for boys and girls were 19.69 and 18.70 (kg/cm respectively. Statistically significant associations were observed between BMI and sex, 31–60 min of daily vigorous or moderate physical activities levels, length of time spent watching television, time spent on video games or the computer, and intake of vegetable or meat gravy with rice (p < 0.001. Perceived body shape also affected the BMI of school children. The results of this study enable educational institutions in Taiwan to understand the factors affecting the BMI of school children and use this information as the basis for future healthy body weight policies.

  8. Influence of age, menopause status, body mass index and physical activity on body composition and body fat distribution in midlife women

    Institute of Scientific and Technical Information of China (English)

    Wei Dai-min; Yu Qi; Zhang Ying; Chen Feng-ling

    2012-01-01

    Objective: To investigate the influence of age,menopause status,body mass index (BMI) and physical activity on body composition and body fat distribution in Chinese midlife women.Methods: The healthy women who underwent anniversary health checkup in Peking Union Medical College Hospital were recruited cross-sectionally.The level of physical activity was determined via International Physical Activity Questionnaire-Short in Chinese Version.The body composition and fat distribution were measured by dualenergy X-ray absorptiometry.Results: A total of 162 women with average age 52 years (40-62 years) were recruited.Multivariate linear regression analysis was performed to test the relationship between age,menopause status,BMI and physical activity and parameters of body composition and body fat distribution.The total fat tissue percentage was positively associated with BMI (standardized partial regression coefficient: b=0.70),menopause status (b=0.19,grading variables 1,2,3 were assigned to represent for reproductive group,menopausal transition group and postmenopausal group,respectively),and negatively associated with physical activity energy expenditure (b=-0.17) with model determination coefficient 0.55.Total body fat-free-tissue mass was positively associated with BMI (b =0.61),negatively associated with menopause status (b =-0.14) with model determination coefficient 0.39.The ratio of trunk fat-tissue mass/total body fat-tissue mass (Tr/T) was positively associated with BMI (b=0.32) and menopause status (b= 0.30) with model determination coefficient 0.20.After adjusted the effects of BMI,menopause status and physical activity,age was not significantly related with total fat tissue percentage,body fat-free-tissue mass,nor ratio of (Tr/T).Conclusion: Menopause impacts body composition and body fat distribution independently.During the process of female reproductive aging,body fat tissue mass and centrally distributed fat tissue mass increase,while body fatfree

  9. [Food craving symptoms in older school age children and its relation to body-mass index].

    Science.gov (United States)

    Světlák, M; Pšenicová, K

    2012-02-01

    Recent findings show that food craving represents an important co-factor in overweight and obesity etiology and its severity represents a good predictor of relapse during active weight control. Child overweight and obesity also represents significant predictive factor of adulthood obesity and evidence about its incidence in children is therefore important. In order to achieve this evidence the indices of food craving has measured in 150 older school age children (54 boys and 96 girls; mean age 13.6 ± 1.2). The food craving symptoms were measured by validated Czech translation of the General Food-Craving Questionnaire-Trait (G-FCQ-T). Body proportions of children were indexed by body-mass index (BMI). BMI were assessed according to cut-off points BMI references from the Czech Republic. Results have shown that older school children have experience with food craving symptoms, and that intensity of these symptoms is significantly associated with BMI value (r = 0.55; p < 0.0001). Statistical analysis also revealed higher incidence of food craving symptoms intensity in girls. These findings provide basic normative data about food craving symptoms occurrence and intensity in older school age children group. Presented results also indirectly support the hypothesis that food craving could represent important co-factor in childhood obesity etiology. The consequences for obesity psychotherapy will be discussed.

  10. Body mass index and comorbidity are associated with postoperative renal function after nephrectomy

    Directory of Open Access Journals (Sweden)

    Lael Reinstatler

    2015-08-01

    Full Text Available ABSTRACTPurpose:To explore the association of body mass index (BMI and comorbidity with renal function after nephrectomy.Materials and Methods:We retrospectively analyzed 263 patients submitted to partial or radical nephrectomy from 2000-2013. Variables assessed included BMI, Charlson Comorbidity Index (CCI, race, tobacco use, tumor histology, surgical approach, Fuhrman nuclear grade, and tumor (T classification. Glomerular filtration rate (GFR was estimated using the Cockroft-Gault equation, adjusted for gender. Logistic regression was performed and included all interaction terms.Results:Median follow-up was 19.6 months (IQR 5.2, 53.7. Median preoperative GFR was 86.2mL/min/1.73m2 and median postoperative GFR was 68.4mL/min/1.73m2. BMI (OR 1.07, 95%CI 1.02-1.11, CCI (OR 1.19, 95%CI 1.04-1.37, and radical nephrectomy (OR 3.09, 95%CI 1.51-6.33 were significantly associated with a decline in renal function of ≥25%.Conclusion:BMI and CCI are associated with postoperative decline in renal function after nephrectomy. Additionally, radical nephrectomy is significantly associated with decreasing renal function compared to partial nephrectomy. These findings highlight the importance of assessing patient comorbidity in the decision making process for patients presenting with a renal mass.

  11. Body mass index and comorbidity are associated with postoperative renal function after nephrectomy

    Science.gov (United States)

    Reinstatler, Lael; Klaassen, Zachary; Barrett, Brittani; Terris, Martha K.; Moses, Kelvin A.

    2015-01-01

    ABSTRACT Purpose: To explore the association of body mass index (BMI) and comorbidity with renal function after nephrectomy. Materials and Methods: We retrospectively analyzed 263 patients submitted to partial or radical nephrectomy from 2000-2013. Variables assessed included BMI, Charlson Comorbidity Index (CCI), race, tobacco use, tumor histology, surgical approach, Fuhrman nuclear grade, and tumor (T) classification. Glomerular filtration rate (GFR) was estimated using the Cockroft-Gault equation, adjusted for gender. Logistic regression was performed and included all interaction terms. Results: Median follow-up was 19.6 months (IQR 5.2, 53.7). Median preoperative GFR was 86.2mL/min/1.73m2 and median postoperative GFR was 68.4mL/min/1.73m2. BMI (OR 1.07, 95%CI 1.02-1.11), CCI (OR 1.19, 95%CI 1.04-1.37), and radical nephrectomy (OR 3.09, 95%CI 1.51-6.33) were significantly associated with a decline in renal function of ≥25%. Conclusion: BMI and CCI are associated with postoperative decline in renal function after nephrectomy. Additionally, radical nephrectomy is significantly associated with decreasing renal function compared to partial nephrectomy. These findings highlight the importance of assessing patient comorbidity in the decision making process for patients presenting with a renal mass. PMID:26401862

  12. Biomechanical evaluation of the relationship between postural control and body mass index.

    Science.gov (United States)

    Ku, P X; Abu Osman, N A; Yusof, A; Wan Abas, W A B

    2012-06-01

    Postural stability is crucial in maintaining body balance during quiet standing, locomotion, and any activities that require a high degree of balance performance, such as participating in sports and dancing. Research has shown that there is a relationship between stability and body mass. The aims of this study were to examine the impact that two variables had on static postural control: body mass index (BMI) and gender. Eighty healthy young adults (age=21.7±1.8 yr; height=1.65±0.09 m; mass=67.5±19.0 kg) participated in the study and the static postural control was assessed using the Biodex Balance System, with a 20 Hz sampling rate in the bipedic stance (BLS) and unipedic stance (ULS) for 30s. Five test evaluations were performed for each balance test. Postural control was found to be negatively correlated with increased adiposity, as the obese BMI group performed significantly poorer than the underweight, normal weight and overweight groups during BLS and ULS tests. The underweight, normal weight and overweight groups exhibited greater anterior-posterior stability in postural control during quiet stance. In addition, female displayed a trend of having a greater postural sway than male young adults, although it was evidenced in only some BMI groups. This study revealed that BMI do have an impact on postural control during both BLS and ULS. As such, BMI and gender-specific effects should be taken into consideration when selecting individuals for different types of sporting activities, especially those that require quiet standing.

  13. Accuracy of Body Mass Index to Diagnose Obesity In the US Adult Population

    Science.gov (United States)

    Romero-Corral, Abel; Somers, Virend K.; Sierra-Johnson, Justo; Thomas, Randal J.; Bailey, Kent R.; Collazo-Clavell, Maria L; Allison, Thomas G.; Korinek, Josef; Batsis, John A.; Lopez-Jimenez, Francisco

    2009-01-01

    Background Body mass index (BMI) is the most widely used measure to diagnose obesity. However, the diagnostic accuracy of BMI to detect excess in body adiposity is largely unknown. Methods A cross-sectional design of 13,601 subjects (age 20–79.9 years; 48% men) from the Third National Health and Nutrition Examination Survey. Bioelectrical impedance analysis was used to estimate body fat percent (BF %). We assessed the diagnostic performance of BMI using the World Health Organization reference standard for obesity of BF % > 25% in men and > 35% in women. We tested the correlation between BMI and both, BF % and lean mass by sex and age groups. Results BMI-defined obesity (≥ 30 kg/m2) was present in 21% of men and 31% of women, while BF %-defined obesity was present in 50% and 62%, respectively. A BMI ≥ 30 had a high specificity (95% in men and 99% in women), but a poor sensitivity (36% and 49 %, respectively) to detect BF %-defined obesity. The diagnostic performance of BMI diminished as age increased. BMI had a good correlation with BF % in men (R2 = 0.44) and women (R2 = 0.71), but also with lean mass (R2 = 0.50 and 0.55, respectively). Conclusions Despite the good correlation between BMI and BF %, the diagnostic accuracy of BMI to diagnose obesity is limited, particularly for individuals in the intermediate BMI ranges. A BMI cut-off of ≥ 30 kg/m2 has a good specificity but misses more than half of people with excess fat. These results help to explain the U and J-shape association between BMI and outcomes. PMID:18283284

  14. [Odds ratio between sociocultural factors, body dissatisfaction, and body mass index in university students of Hidalgo, Mexico].

    Science.gov (United States)

    Zaragoza Cortes, Jessica; Saucedo-Molina, Teresita de Jesús; Fernández Cortés, Trinidad Lorena

    2011-03-01

    After to identify risky factors involved in the prediction and prevention of eating disorders (ED), in a sample of university males and females students from an urban setting in Hidalgo. Mexico; the main purpose of this paper was to reaffirm the following assumptions: 1) Dissatisfaction with body shape is closely related to both, the influence of sociocultural factors as Body Mass Index (BMI); 2) The participating women reported more dissatisfaction with body shape, indicating greater influence of sociocultural factors than men.Transversal, descriptive and association field research was carried out in a sample of 490 students (57% females. 43% males), from 16 to 30 years old (X(-) = 19.63, SD = +/- 2.11). Multidimensional self-reported questionnaire were applied. BMI was obtained by measuring each subject's weight and height. Regarding the impact association measures obtained by Odds Ratio, there were significant association (p advertising, and influence of verbal messages), and between BMI and these latter, where men showed a higher risk. Findings suggest that body dissatisfaction in women, and BMI, specifically overweight in men, act like key agents of the impact of sociocultural factors in the researched sample.

  15. Body mass index estimation in a school-entry aged cohort in Malta.

    Science.gov (United States)

    Grech, Victor; Farrugia Sant'Angelo, Victoria

    2009-01-01

    This study measured body mass index (BMI) in a national cohort of school-entry children in Malta (04/2007, n=3461). By International Obesity Task Force criteria, over a quarter are overweight/obese. CDC criteria classify one-third as overweight/obese. BMIs were higher in the less affluent south of the island, especially in the Grand Harbour area. Analysis by school showed differences in boys only with lowest BMIs in private schools, followed by subsidized church schools and by free State schools. These differences are attributed to a lower level of education with regard to the consequences of obesity in the less affluent southern part of the island, along with lifestyles adopted in this area. We estimate that obesity will eventually cost Malta 70,000,000 euros/annum and therefore hope that this study will serve as a catalyst for further population-based BMI estimations and for an intensive effort to curtail this chronic disease.

  16. The relation between drinking pattern and body mass index and waist and hip circumference

    DEFF Research Database (Denmark)

    Tolstrup, J S; Heitmann, B. L.; Tjønneland, A M

    2005-01-01

    OBJECTIVES: To study the association between alcohol drinking pattern and obesity. DESIGN: Cross-sectional population study with assessment of quantity and frequency of alcohol intake, waist and hip circumference, height, weight, and lifestyle factors including diet. SUBJECTS: In all, 25 325 men...... and 24 552 women aged 50-65 y from the Diet, Cancer and Health Study, Denmark, 1993-1997 participated in the study. MEASUREMENTS: Drinking frequency, total alcohol intake, body mass index (BMI), and waist and hip circumference. RESULTS: Among men, total alcohol intake was positively associated with high...... BMI (>/=30 kg/m(2)), large waist circumference (>/=102 cm) and inversely associated with small hip circumference (waist (>/=88 cm), and small hips only for the highest intake (28+ drinks/week). The most frequent drinkers had...

  17. Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee

    Directory of Open Access Journals (Sweden)

    Fabrício Bolpato Loures

    2016-08-01

    Full Text Available ABSTRACT OBJECTIVE: To evaluate the relationship between patients' body mass index (BMI and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients' BMI was calculated and their knee arthrosis was classified in accordance with the modified Ahlbäck criteria. Kruskal-Wallis analysis of variance (ANOVA was used to evaluate the relationship between these two variables. RESULTS: The group classified as Ahlbäck grade V had significantly higher BMI than the others. CONCLUSION: There is a direct relationship between BMI and the degree of radiographic severity of gonarthrosis. Obesity appears to be directly related to the progression of knee osteoarthrosis.

  18. Body Mass Index, Inflammatory Biomarkers and Neurocognitive Impairment in HIV-Infected Persons

    Science.gov (United States)

    Okafor, Chukwuemeka N.; Kelso, Natalie E.; Bryant, Vaughn; Burrell, Larry E.; Míguez, Maria Jose; Gongvatana, Assawin; Tashima, Karen T.; de la Monte, Suzanne; Cook, Robert L.; Cohen, Ronald A.

    2016-01-01

    To determine the relationships among body mass index (BMI), and HIV-associated neurocognitive impairment and the potential mediating effects of inflammatory cytokines. Among the HIV-infected individuals (N=90) included in this study, obesity was associated with slower processing speed (β = −.229, standard error (SE) = 2.15, p = .033), compared to participants with a normal BMI, after controlling for psychosocial and HIV clinical factors. Serum concentrations of the interleukin-16 (IL-16) cytokine were significantly associated with slowed processing speed (β = −.235, standard error (SE) = 1.62, p = .033) but did not mediate the relationship between obesity and processing speed These findings suggest that obesity may contribute to cognitive processing speed deficits in HIV-infected adults. Elevated concentrations of IL-16 are also associated with slowing, though the results suggest that obesity and IL-16 may exert independent effects. PMID:27319430

  19. Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index

    Science.gov (United States)

    Bae, Sunghwan; Choi, Sungkyoung; Kim, Sung Min

    2016-01-01

    With the success of the genome-wide association studies (GWASs), many candidate loci for complex human diseases have been reported in the GWAS catalog. Recently, many disease prediction models based on penalized regression or statistical learning methods were proposed using candidate causal variants from significant single-nucleotide polymorphisms of GWASs. However, there have been only a few systematic studies comparing existing methods. In this study, we first constructed risk prediction models, such as stepwise linear regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN), using a GWAS chip and GWAS catalog. We then compared the prediction accuracy by calculating the mean square error (MSE) value on data from the Korea Association Resource (KARE) with body mass index. Our results show that SLR provides a smaller MSE value than the other methods, while the numbers of selected variables in each model were similar.

  20. Genetic studies of body mass index yield new insights for obesity biology

    Science.gov (United States)

    Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian’an; Mägi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, Jennifer L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L.; Böttcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B.; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J.; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Lo, Ken Sin; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Nöthen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundström, Johan; Swertz, Morris A.; Swift, Amy J.; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wright, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van ’t Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Marchand, Loic Le; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramies, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njølstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O’Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijn, Cornelia M.; Abecasis, Gonçalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, André; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Inês; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P account for ~2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis. PMID:25673413

  1. Maternal pre-pregnancy body mass index and pubertal development among sons

    DEFF Research Database (Denmark)

    Hounsgaard, M L; Håkonsen, L B; Vested, A;

    2013-01-01

    Maternal overweight and obesity in pregnancy has been associated with earlier age of menarche in daughters as well as reduced semen quality in sons. We aimed at investigating pubertal development in sons born by mothers with a high body mass index (BMI). The study included 2522 sons of mothers...... that during pregnancy in 1984-1987 were enrolled in a mother-child cohort and gave information on their pre-pregnancy height and weight from which we calculated their BMI. Information on sons' pubertal development, assessed by age when starting regular shaving, voice break, acne and first nocturnal emission...... indicators of pubertal development, results also indicated earlier pubertal development among sons of obese mothers. After excluding sons of underweight mothers in a subanalysis, we observed an inverse trend between maternal pre-pregnancy BMI and age at regular shaving, acne and first nocturnal emission...

  2. Is body mass index associated with patellofemoral pain and patellofemoral osteoarthritis?

    DEFF Research Database (Denmark)

    Hart, Harvi F; Barton, Christian J; Khan, Karim M;

    2016-01-01

    BACKGROUND: Patellofemoral pain (PFP) occurs frequently, and may be related to patellofemoral osteoarthritis (PFOA). Obesity is associated with increased risk of knee OA. This systematic review involves a meta-regression and analysis to determine the relationship between body mass index (BMI......) and PFP and PFOA, and to determine the link between BMI and interventional outcomes. METHODS: We searched seven electronic databases and reference lists of relevant papers and systematic reviews, for cross-sectional, prospective, human-based observational and interventional studies reporting BMI...... (-0.19, -0.56 to 0.18). We also observed statistical trends (pdevelopment of PFP in adults (0.34, -0.04 to 0.71). No significant link between BMI and intervention outcomes in adults with PFP was identified. CONCLUSIONS: Higher BMI is present in PFP...

  3. Low breastfeeding rates and body mass index in Danish children of women with gestational diabetes mellitus

    DEFF Research Database (Denmark)

    Fenger-Grøn, Jesper; Fenger-Grøn, Morten; Blunck, Charlotte Holst

    2015-01-01

    of insulin and glucose in breast milk of women with diabetes, possibly increasing risks to the children. Previous studies may have low retention rates or mix GDM and pre-GDM, and often knowledge of confounders like maternal body mass index (BMI), level of hyperglycemia and feeding patterns is lacking. Data...... feeding was introduced earlier than recommended among 11 %. At the age of five weeks and at five months, children had grown longer and had lower BMI than expected from Danish and World Health Organization references. In the study periods, breastfeeding was significantly associated with lower BMI...... on breastfeeding rates, growth patterns and their associations are important to optimize future strategies among offspring from women with GDM managed by diet. Methods Based on 10.730 births, a cohort of 131 singletons of Danish women with GDM managed by diet was defined. Data on feeding patterns, offspring length...

  4. Influence of body mass index on mortality after surgery for perforated peptic ulcer

    DEFF Research Database (Denmark)

    Buck, David Levarett; Møller, M H

    2014-01-01

    BACKGROUND: Body mass index (BMI) is a strong predictor of mortality in the general population. In spite of the medical hazards of obesity, a protective effect on mortality has been suggested in surgical patients: the obesity paradox. The aim of the present nationwide cohort study was to examine...... or more. A total of 471 patients (27·7 per cent) died within 90 days of surgery. Being underweight was associated with a more than twofold increased risk of death following surgery for PPU (adjusted RR 2·26, 95 per cent c.i. 1·37 to 3·71). No statistically significant association was found between obesity...... and mortality. CONCLUSION: Being underweight was associated with increased mortality in patients with PPU, whereas being overweight or obese was neither protective nor an adverse prognostic factor....

  5. Effects of dietary restraint and body mass index on the relative reinforcing value of snack food.

    Science.gov (United States)

    Goldfield, Gary S; Lumb, Andrew

    2009-01-01

    The present study examined the independent and interactive association between dietary restraint, body mass index (BMI) and the relative reinforcing value of food. Four hundred and three introductory psychology students completed questionnaires assessing age, gender, BMI, hunger, smoking status, nicotine dependence, dietary restraint, hedonic ratings for snack food and fruits and vegetables and the relative reinforcing value of snack food and fruits and vegetables. In the overall sample, results indicated a dietary restraint x BMI interaction after controlling for age, hunger, nicotine dependence, and hedonics. However, when regression models were separated by gender, the BMI x restraint interaction emerged only for females and not for males. Findings suggest that BMI moderates the relationship between dietary restraint and snack food reinforcement in females only, such that restraint and snack food reinforcement are inversely correlated in females with lower BMI, but restraint is positively correlated with snack food reinforcement in females with higher BMI. Theoretical and clinical implications of these findings are discussed.

  6. Body mass index, inflammatory biomarkers and neurocognitive impairment in HIV-infected persons.

    Science.gov (United States)

    Okafor, Chukwuemeka N; Kelso, Natalie E; Bryant, Vaughn; Burrell, Larry E; Míguez, Maria Jose; Gongvatana, Assawin; Tashima, Karen T; de la Monte, Suzanne; Cook, Robert L; Cohen, Ronald A

    2017-03-01

    To determine the relationships among body mass index (BMI), and HIV-associated neurocognitive impairment and the potential mediating effects of inflammatory cytokines. Among the HIV-infected individuals (N = 90) included in this study, obesity was associated with slower processing speed (β = -.229, standard error (SE) = 2.15, p = .033), compared to participants with a normal BMI, after controlling for psychosocial and HIV clinical factors. Serum concentrations of the interleukin-16 (IL-16) cytokine were significantly associated with slowed processing speed (β = -.235, SE = 1.62, p = .033) but did not mediate the relationship between obesity and processing speed These findings suggest that obesity may contribute to cognitive processing speed deficits in HIV-infected adults. Elevated concentrations of IL-16 are also associated with slowing, though the results suggest that obesity and IL-16 may exert independent effects.

  7. Genetic determinants of serum vitamin B12 and their relation to body mass index

    DEFF Research Database (Denmark)

    Allin, Kristine H; Friedrich, Nele; Pietzner, Maik

    2016-01-01

    for associations between (1) serum vitamin B12 levels and body mass index (BMI), (2) genetic variants and serum vitamin B12 levels, and (3) genetic variants and BMI. The effect of a genetically determined decrease in serum vitamin B12 on BMI was estimated by instrumental variable regression. Decreased serum...... vitamin B12 associated with increased BMI (P genetic risk score based on eight vitamin B12 associated variants associated strongly with serum vitamin B12 (P ... was associated with a 0.09 kg/m(2) (95% CI 0.05; 0.13) increase in BMI (P = 3 × 10(-5)), whereas a genetically induced 20% decrease in serum vitamin B12 had no effect on BMI [-0.03 (95% CI -0.22; 0.16) kg/m(2)] (P = 0.74). Nevertheless, the strongest serum vitamin B12 variant, FUT2 rs602662, which was excluded...

  8. Impulsivity mediates the association between borderline personality pathology and body mass index.

    Science.gov (United States)

    Iacovino, Juliette M; Powers, Abigail D; Oltmanns, Thomas F

    2014-01-01

    Borderline personality disorder (BPD) is associated with obesity, a major risk factor for a number of chronic illnesses (e.g., cardiovascular disease). We examined whether impulsivity and affective instability mediate the association between BPD pathology and body mass index (BMI). Participants were a community sample of adults ages 55-64 and their informants. The Structured Interview for DSM-IV Personality measured BPD symptoms and the Revised NEO Personality Inventory measured self- and informant-report impulsivity and affective instability. Mediation analyses demonstrated that only higher self-report impulsivity significantly mediated the association between greater BPD pathology and higher BMI. A subsequent model revealed that higher scores on the impulsiveness (lack of inhibitory control) and deliberation (planning) facets of impulsivity mediated the BPD-BMI association, with impulsiveness exerting a stronger mediation effect than deliberation. Obesity interventions that improve inhibitory control may be most effective for individuals with BPD pathology.

  9. Is There an Association between Socioeconomic Status and Body Mass Index among Adolescents in Mauritius?

    Directory of Open Access Journals (Sweden)

    Waqia Begum Fokeena

    2012-01-01

    Full Text Available There are no documented studies on socioeconomic status (SES and body mass index (BMI among Mauritian adolescents. This study aimed to determine the relationships between SES and BMI among adolescents with focus on diet quality and physical activity (PA as mediating factors. Mauritian school adolescents (=200; 96 males, 104 females were recruited using multistage sampling. Participants completed a self-reported questionnaire. Height and weight were measured and used to calculate BMI (categorised into underweight, healthy-weight, overweight, obese. Chi-square test, Pearson correlation, and Independent samples -test were used for statistical analysis. A negative association was found between SES and BMI (2=8.15%, <0.05. Diet quality, time spent in PA at school (=0.000, but not total PA (=0.562, were significantly associated with high SES. Poor diet quality and less time spent in PA at school could explain BMI discrepancies between SES groups.

  10. Trends in adult body-mass index in 200 countries from 1975 to 2014

    DEFF Research Database (Denmark)

    Damsgaard, Camilla Trab; Michaelsen, Kim F.; Molbo, Drude

    2016-01-01

    in all countries. METHODS: We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI......BACKGROUND: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults...... probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue. FINDINGS: We used 1698 population-based data sources, with more than 19·2 million adult participants (9·9 million men and 9·3 million women) in 186 of 200 countries for which estimates...

  11. Comparison of body mass index in children of two different regions of welfare.

    Directory of Open Access Journals (Sweden)

    Abbas Shapouri Moghadam

    2015-02-01

    Full Text Available Socioeconomic basis of children obesity is of high importance for preventive policies. This study aimed to compare the prevalence of obesity among children living in two different levels of welfare regions in Mashhad northeast of Iran. A total of 625 primary school girls and boys aged 78-127 months were randomly selected, and values of their body mass index (BMI were measured. The prevalence of both overweight and obesity were higher among students of enriched area in comparison with that of resource restricted (P<0.05.The prevalence of overweight concerns in urban and rural areas. These results highlight the relation between socio-economic status and prevalence of obesity among children.

  12. Does Body Mass Index Influence Behavioral Regulations, Dispositional Flow and Social Physique Anxiety in Exercise Setting?

    Directory of Open Access Journals (Sweden)

    Gözde Ersöz, Ersin Altiparmak, F. Hülya Aşçı

    2016-06-01

    Full Text Available The purpose of this study was to examine differences in behavioral regulations, dispositional flow, social physique anxiety of exercisers in terms of body mass index (BMI. 782 university students participated in this study. Dispositional Flow State Scale-2, Behavioral Regulations in Exercise Questionnaire-2, Social Physique Anxiety Scale and Physical Activity Stages of Change Questionnaire were administered to participants. After controlling for gender, analysis indicated significant differences in behavioral regulations, dispositional flow and social physique anxiety of exercise participants with regards to BMI. In summary, the findings demonstrate that normal weighted participants exercise for internal reasons while underweighted participants are amotivated for exercise participation. Additionally, participants who are underweight had higher dispositional flow and lower social physique anxiety scores than other BMI classification.

  13. The 2014 Danish references from birth to 20 years for height, weight and body mass index

    DEFF Research Database (Denmark)

    Tinggaard, Jeanette; Aksglaede, Lise; Sørensen, Kaspar

    2014-01-01

    AIM: To construct new Danish growth charts for 0- to 20-year-olds and to compare them with Danish references from 1982 and with World Health Organization (WHO) standards for children aged 0-5 years from 2006, by applying similar inclusion and exclusion criteria. METHODS: Anthropometric data from...... for location, scale and shape. RESULTS: From prepubertal ages, a secular increase in height was observed for both genders. The differences were most pronounced in puberty, and final heights were increased by 1.4 cm in boys and 2.9 cm in girls compared to 1982 references. In boys, but not girls an upward shift...... in body mass index (BMI) above median levels was found. Reference curves for height were superimposable with standard curves based on the selective WHO criteria. Danish children were longer/taller and heavier and they had larger head circumferences than those reported in the recent multiethnic WHO...

  14. Associations between body mass index and lymph node metastases of patients with papillary thyroid cancer

    Science.gov (United States)

    Wu, Changhua; Wang, Liang; Chen, Wanjun; Zou, Shujuan; Yang, Aiju

    2017-01-01

    Abstract Epidemiological studies suggest that obesity is a risk of thyroid cancer, especially papillary thyroid cancer (PTC). However, the associations of obesity and clinic–pathological features, especially the association of body mass index (BMI) and lymph node metastasis of thyroid cancer are unclear. Seven hundred ninety-six primary patients with PTC were enrolled in this retrospective cohort study. The relationships between BMI and clinic-pathological features of PTC were evaluated by logistic regression models based on the 5-point increase in BMI and BMI quartiles (underweight, normal weight, overweight, and obesity). The 5-point increase in BMI was strongly associated with extra-thyroidal invasion [odds ratio (OR) 2.201, P thyroidal invasion, advanced TNM staging, and multifocality. Further studies with long-term follow-up are needed to confirm this finding. PMID:28248875

  15. Influence of Body Mass Index on Tumor Pathology and Survival in Uterine Cancer

    DEFF Research Database (Denmark)

    Kristensen, Anne Bjerrum; Hare-Bruun, Helle; Høgdall, Claus Kim;

    2016-01-01

    for uterine cancer or atypical endometrial hyperplasia (International Classification of Diseases-10 codes D070, DC549) 2005 to 2012 (n = 6003). MAIN OUTCOME MEASURES: Impact of BMI on type I and II endometrial cancer survival. MATERIALS AND METHODS: Danish Gynecological Cancer Database data on women with type......OBJECTIVE: To evaluate the influence of body mass index (BMI) on endometrial tumor pathology, stage and complication rate and to identify individual prognostic factors, such as BMI, in types I and II endometrial cancer. DESIGN: Register study included all Danish women who underwent surgery...... I and II endometrial cancer were retrieved. Kaplan-Meier plot was used to illustrate differences in survival in relation to BMI. Log-rank test was used to demonstrate difference between the curves. Cox regression hazard model was used to estimate hazard ratios (HR) of the effect of BMI on overall...

  16. Food addiction and body-mass-index: a non-linear relationship.

    Science.gov (United States)

    Meule, Adrian

    2012-10-01

    Excessive food consumption has been recognized to show similarities with substance dependence. Subsequently, it has been proposed that food addiction might contribute to the obesity epidemic. Recent studies using questionnaires for the assessment of food addiction have found statistically significant, but negligible positive correlations with body-mass-index (BMI). Moreover, group comparisons between food-addicted and non-addicted individuals in normal-weight or obese samples did not show differences in BMI. However, the prevalence of food addiction diagnoses is remarkably increased in obese individuals. In the current article, it is suggested that there might be a cubic relationship between food addiction and BMI. Food addiction symptomatology may remain stable in the under- and normal-weight range, increase in the overweight- and obese range, and level off at severe obesity. Empirical data in support of this view are presented.

  17. Is there an association between socioeconomic status and body mass index among adolescents in Mauritius?

    Science.gov (United States)

    Fokeena, Waqia Begum; Jeewon, Rajesh

    2012-01-01

    There are no documented studies on socioeconomic status (SES) and body mass index (BMI) among Mauritian adolescents. This study aimed to determine the relationships between SES and BMI among adolescents with focus on diet quality and physical activity (PA) as mediating factors. Mauritian school adolescents (n = 200; 96 males, 104 females) were recruited using multistage sampling. Participants completed a self-reported questionnaire. Height and weight were measured and used to calculate BMI (categorised into underweight, healthy-weight, overweight, obese). Chi-square test, Pearson correlation, and Independent samples t-test were used for statistical analysis. A negative association was found between SES and BMI (χ(2) = 8.15%, P < 0.05). Diet quality, time spent in PA at school (P = 0.000), but not total PA (P = 0.562), were significantly associated with high SES. Poor diet quality and less time spent in PA at school could explain BMI discrepancies between SES groups.

  18. Risk of asthma in adult twins with type 2 diabetes and increased body mass index

    DEFF Research Database (Denmark)

    Thomsen, S F; Duffy, D L; Kyvik, K O;

    2011-01-01

    AIM: To examine the relationship between asthma, type 2 diabetes and increased body mass index (BMI) in adult twins. METHODS: We performed record linkage between questionnaire-defined asthma and BMI, and hospital discharge diagnoses of type 2 diabetes in 34,782 Danish twins, 20-71 years of age....... RESULTS: The risk of asthma was increased in subjects with type 2 diabetes relative to nondiabetic subjects both in men (13.5%vs 7.5%), P = 0.001 and in women (16.6%vs 9.6%), P = 0.001. The result remained significant after adjustment for age, BMI, smoking, symptoms of chronic bronchitis, marital status...... and zygosity, men: OR = 1.70 (1.07-2.70), P = 0.026; women: OR = 1.88 (1.24-2.85), P = 0.003. In this analysis, BMI remained a highly significant predictor for asthma independently of diabetes status in women, P

  19. Reduced body mass index in Parkinson's disease: contribution of comorbid depression.

    Science.gov (United States)

    Pilhatsch, Maximilian; Kroemer, Nils B; Schneider, Christine; Ebersbach, Georg; Jost, Wolfgang H; Fuchs, Gerd; Odin, Per; Reifschneider, Gerd; Bauer, Michael; Reichmann, Heinz; Storch, Alexander

    2013-01-01

    Courses of Parkinson's disease (PD) that are complicated by weight loss result in poorer overall treatment outcome and lower quality of life. To determine the contribution of depression, which has not yet been specified in the etiology of weight loss in PD, symptomatology and anamnesis from 215 outpatients diagnosed with PD were assessed using a comprehensive battery of neuropsychiatric scales. A percentage of 31 comorbid depressed patients and a comparison with a control population allowed an accurate characterization of effect sizes, sex differences, and patterns of the contribution of comorbid depression to weight loss. Our study showed that comorbid depression had a clinically relevant effect concerning reduced body mass index in male (0.3; Hedges' g) but not in female PD patients. Although some possible confounders are not controlled here, our results support the need of monitoring depressive symptoms in the courses of PD, particularly in male patients.

  20. Biographic and psychobehavioral influences on body mass index in a nursing sample.

    Science.gov (United States)

    Allison, Sarah

    2005-02-01

    The purpose of this study was to investigate the direct influences of age, ethnicity, education, and number of children and the indirect influences of codependency and binge eating on increased body mass index (BMI). In this secondary analysis, data were collected from a convenience sample of 511 nurses who completed a codependency instrument and a personal inventory profile assessing the predictors included in the current path analysis study. The five predictors retained in the final BMI model demonstrated that binge eating, age, and Black ethnicity were positively correlated with BMI and that Asian ethnicity was negatively correlated with BMI. The relationship between binge eating and BMI was augmented by codependency but reduced by Black ethnicity. It was concluded that the path analysis supported hypotheses that Black nurses were overweight for reasons other than binge eating and that participants who scored high on the codependency instrument were more likely to binge eat.

  1. Behavioral risk factors and Latino body mass index: a cross-sectional study in Missouri.

    Science.gov (United States)

    Sandoval, J S Onésimo; Harris, Jenine K; Jennings, Joel P; Hinyard, Leslie; Banks, Gina

    2012-11-01

    Obesity is the fastest-growing cause of disease and death in the United States, with minority populations suffering some of the most severe consequences. Latinos constitute 16% of the U.S. population as of 2010, and have a higher proportion of the population that is overweight and obese compared with their non-Hispanic Black and White counterparts. Although there are over 15.8 million Latino residents living in non-gateway states (outside California, Texas, Arizona, Illinois, and New York), there is little research exploring obesity factors among Latinos outside of gateway states. The aim of this paper was to study socio-economic characteristics, mental health, insurance status, physical activity, and fruit and vegetable consumption, in relation to body mass index (BMI) among Latinos living in a non-gateway state. The results showed that income, employment status, marital status, insurance status, physical activity, fruit and vegetable consumption, and mental health were all associated with BMI.

  2. Association of Body Mass Index with Asthma Severity and Pulmonary Function among Asthmatic Children

    Directory of Open Access Journals (Sweden)

    Rasuol Nasiri Kalmarzi

    2016-09-01

    Full Text Available Background Asthma is a chronic inflammatory disease in respiratory system and obesity is another inflammatory disease which incidence rate is increasing. Although, many studies have been conducted on severity of asthma and its relationship with obesity, but different results have been obtained. This study aimed to determine a relationship between asthma severity, Body Mass Index (BMI and pulmonary function in Kurdistan province, Iran. Materials and Methods: In this cross sectional study 90 asthmatic patients referred to referral hospital in Kurdistan, North West of Iran, were selected by simple random method. BMI was calculated by dividing weight by height.Pulmonary Function Test (PFT and bronchial-stimulation-test were used for confirmation and investigation of asthma severity. Data were analyzed using SPSS-15 and Chi-square and spearman correlation coefficient tests. Results: Relationship between BMI and severity of asthma (mild, medium and severe was evaluated, there was a relationship and positive relationship between them (P

  3. Pregnancy related pelvic pain is more frequent in women with increased body mass index

    DEFF Research Database (Denmark)

    Biering, Karin; Nøhr, Ellen Aagaard; Olsen, Jørn

    2011-01-01

    Objective. To investigate the association between pre-pregnancy overweight/obesity and pregnancy-related pelvic pain. Design: Nested case-control study. Setting and population. The Danish National Birth Cohort, a cohort of pregnant women and their children recruited 1996–2002. Methods. The women...... had not given birth before. Conclusion. The risk of pregnancy-related pelvic pain increasedwith pre-pregnancy BMI in an exposure–response relation and potentially adds another maternal complication to obesity....... were interviewed twice during pregnancy and twice after childbirth. The first pregnancy interview provided information on self-reported pre-pregnancy body mass index (BMI) and possible confounders, while data on pregnancy-related pelvic pain came from an interview sixmonths postpartum. Cases (n=2 271...

  4. Body mass index associated with genome-wide methylation in breast tissue.

    Science.gov (United States)

    Hair, Brionna Y; Xu, Zongli; Kirk, Erin L; Harlid, Sophia; Sandhu, Rupninder; Robinson, Whitney R; Wu, Michael C; Olshan, Andrew F; Conway, Kathleen; Taylor, Jack A; Troester, Melissa A

    2015-06-01

    Gene expression studies indicate that body mass index (BMI) is associated with molecular pathways involved in inflammation, insulin-like growth factor activation, and other carcinogenic processes in breast tissue. The goal of this study was to determine whether BMI is associated with gene methylation in breast tissue and to identify pathways that are commonly methylated in association with high BMI. Epigenome-wide methylation profiles were determined using the Illumina HumanMethylation450 BeadChip array in the non-diseased breast tissue of 81 women undergoing breast surgery between 2009 and 2013 at the University of North Carolina Hospitals. Multivariable, robust linear regression was performed to identify methylation sites associated with BMI at a false discovery rate q value breast tissue and may influence epigenetic pathways involved in inflammatory and other carcinogenic processes.

  5. Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins

    DEFF Research Database (Denmark)

    Wu, Yili; Zhang, Dongfeng; Pang, Zengchang;

    2015-01-01

    Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among...... PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17-84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions...... model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low-moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24-0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4...

  6. Comparision between body mass index and abdominal obesity for the screening for diabetes in healthy individuals

    Directory of Open Access Journals (Sweden)

    S Gopinath

    2012-01-01

    Full Text Available Aim: To study about the usefulness of Waist-Height Ratio as a clinical marker in patients with Metabolic Syndrome. Materials and Methods: A clinic-based study of patients attending a secondary level Diabetic Clinic and correlation of their Anthropometry data like waist circumference, height to other parameters namely body mass index (BMI, Waist-Hip Ratio, Blood pressure, Glycemic Control, Lipid Profile, and Duration of Diabetes. Inclusion Criteria: Randomly selected 10 000 patients attending a secondary level diabetic clinic. Exclusion Criteria: Type 1 DM, Gestational Diabetes. Result: Waist-Height Ratio is a better parameter than Waist-Hip Ratio and it is significant in applying for people with different Stature with Normal BMI. Conclusion: Waist-Height Ratio is a better and easier tool when compared with BMI or Waist-Hip Ratio and can be used for assessment of Cardio-metabolic parameter for public health.

  7. Assortative marriages by body mass index have increased simultaneously with the obesity epidemic

    DEFF Research Database (Denmark)

    Adeltoft, Teresa Ajslev; Ängquist, Lars Henrik; Silventoinen, Karri;

    2012-01-01

    Background: The genetic predisposition to obesity may have contributed to the obesity epidemic through assortative mating. We investigated whether spouses were positively assorted by body mass index (BMI; = kg/m(2)) in late childhood, and whether changes in assorted marriage by upper BMI......-percentiles occurred during the obesity epidemic. Methods: In the Copenhagen School Health Records Register (CSHRR) boys and girls with measures of BMI at age 13 years later became 37,792 spousal-pairs who married between 1945 and 2010. Trends in the spousal BMI correlations using sex-, age-, and birth cohort......-specific BMI z-scores across time were investigated. Odds ratios (ORs) of marriage among spouses both with BMI z-scores >90th or >95th percentile compared with marriage among spouses ≤90th percentile were analyzed for marriages entered during the years prior to (1945-1970), and during the obesity epidemic...

  8. Increased Body Mass Index, Elevated C-reactive Protein, and Short Telomere Length

    DEFF Research Database (Denmark)

    Rode, Line; Nordestgaard, Børge G; Weischer, Maren;

    2014-01-01

    CONTEXT: Obesity is associated with short telomere length. The cause of this association is unknown. OBJECTIVE: We hypothesized that genetically increased body mass index (BMI) is associated with telomere length shortening and that low-grade inflammation might contribute through elevated C......-reactive protein. SETTING AND DESIGN: We studied 45,069 individuals from the Copenhagen General Population Study with measurements of leukocyte telomere length, BMI, and C-reactive protein in a Mendelian randomization study. Using the three obesity-associated polymorphisms FTO rs9939609, MC4R rs17782313, and TMEM......18 rs6548238, and the CRP promoter polymorphism rs3091244 in instrumental variable analyses, we estimated the associations between genetically increased BMI and telomere length and between genetically increased C-reactive protein and telomere length. RESULTS: In multivariable-adjusted observational...

  9. Obesity Index That Better Predict Metabolic Syndrome: Body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio

    Directory of Open Access Journals (Sweden)

    Abdulbari Bener

    2013-01-01

    Full Text Available Aim. The aim was to compare body mass index (BMI, waist circumference (WC, waist hip ratio (WHR, and waist height ratio (WHtR to identify the best predictor of metabolic syndrome (MetS among Qatari adult population. Methods. A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII and International Diabetes Federation (IDF. Receiver operating characteristics (ROC curve analysis was performed. Results. Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC (0.78; 95% CI 0.74–0.82 and 0.75; 95% CI 0.71–0.79, resp.. Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78–0.85 & 0.79; 95% CI 0.76–0.83, resp.. Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders. Conclusion. WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.

  10. Body mass index, gestational weight gain and fatty acid concentrations during pregnancy: the Generation R Study.

    Science.gov (United States)

    Vidakovic, Aleksandra Jelena; Jaddoe, Vincent W V; Gishti, Olta; Felix, Janine F; Williams, Michelle A; Hofman, Albert; Demmelmair, Hans; Koletzko, Berthold; Tiemeier, Henning; Gaillard, Romy

    2015-11-01

    Obesity during pregnancy may be correlated with an adverse nutritional status affecting pregnancy and offspring outcomes. We examined the associations of prepregnancy body mass index and gestational weight gain with plasma fatty acid concentrations in mid-pregnancy. This study was embedded in a population-based prospective cohort study among 5636 women. We obtained prepregnancy body mass index and maximum weight gain during pregnancy by questionnaires. We measured concentrations of saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), n-3 polyunsaturated fatty acid (n-3 PUFA) and n-6 polyunsaturated fatty acid (n-6 PUFA) at a median gestational age of 20.5 (95% range 17.1-24.9) weeks. We used multivariate linear regression models. As compared to normal weight women, obese women had higher total SFA concentrations [difference: 0.10 standard deviation (SD) (95% Confidence Interval (CI) 0, 0.19)] and lower total n-3 PUFA concentrations [difference: - 0.11 SD (95% CI - 0.20, - 0.02)]. As compared to women with sufficient gestational weight gain, those with excessive gestational weight gain had higher SFA concentrations [difference: 0.16 SD (95% CI 0.08, 0.25)], MUFA concentrations [difference: 0.16 SD (95% CI 0.08, 0.24)] and n-6 PUFA concentrations [difference: 0.12 SD (95% CI 0.04, 0.21)]. These results were not materially affected by adjustment for maternal characteristics. Our results suggest that obesity and excessive weight gain during pregnancy are associated with an adverse fatty acids profile. Further studies are needed to assess causality and direction of the observed associations.

  11. Body mass index and risk for mental stress induced ischemia in coronary artery disease.

    Science.gov (United States)

    Soufer, Robert; Fernandez, Antonio B; Meadows, Judith; Collins, Dorothea; Burg, Matthew M

    2016-05-19

    Acute emotionally reactive mental stress (MS) can provoke prognostically relevant deficits in cardiac function and myocardial perfusion, and chronic inflammation increases risk for this ischemic phenomenon. We have described parasympathetic withdrawal and generation of inflammatory factors in MS. Adiposity is also associated with elevated markers of chronic inflammation. High body mass index (BMI) is frequently used as a surrogate for assessment of excess adiposity, and associated with traditional CAD risk factors, and CAD mortality. BMI is also associated with autonomic dysregulation, adipose tissue derived proinflammatory cytokines, which are also attendant to emotion provoked myocardial ischemia. Thus, we sought to determine if body mass index (BMI) contributes to risk of developing myocardial ischemia provoked by mental stress. We performed a prospective interventional study in a cohort of 161 patients with stable CAD. They completed an assessment of myocardial blood flow with single photon emission computed tomography (SPECT) simultaneously during 2 conditions: laboratory mental stress and at rest. Multivariate logistic regression determined the independent contribution of BMI to the occurrence of mental-stress induced ischemia. Mean age was 65.6±9.0 years; 87.0% had a history of hypertension, and 28.6% had diabetes. Mean BMI was 30.4±4.7. Prevalence of mental stress ischemia was 39.8%. BMI was an independent predictor of mental stress ischemia, OR=1.10, 95% CI [1.01-1.18] for one-point increase in BMI and OR=1.53, 95% CI [1.06-2.21] for a 4.7 point increase in BMI (one standard deviation beyond the cohort BMI mean), p=0.025 for all. These data suggest that BMI may serve as an independent risk marker for mental stress ischemia. The factors attendant with greater BMI, which include autonomic dysregulation and inflammation, may represent pathways by which high BMI contribute to this risk and serve as a conceptual construct to replicate these findings in larger

  12. Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China

    Directory of Open Access Journals (Sweden)

    Wenwang Rao

    2016-05-01

    Full Text Available Background: There is evidence that body mass index (BMI is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female. The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585, overweight (OR = 2.587, 95% CI: 2.428–2.756, and obesity (OR = 3.614, 95% CI: 3.183–4.104 were significantly associated with hyperlipidemia (p < 0.001 in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864, overweight (OR = 1.651, 95% CI: 1.520–1.793, and obesity (OR = 1.714, 95% CI: 1.457–2.017 were independently associated with hyperlipidemia (p < 0.001. The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (Pnonlinearity < 0.001. Conclusion: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.

  13. Impact of Body Mass Index on In-Hospital Outcomes after Percutaneous Coronary Intervention

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    Bahram Sohrabi

    2013-02-01

    Full Text Available Objectives: The aim of current study is to evaluate relation between body mass index (BMI and in-hospital outcome in patients undergoing percutaneous coronary intervention (PCI.Background: Relation between body mass indexes (BMI with percutaneous coronary intervention (PCI has shown in different studies. Recent studies suggested a paradox relation between different BMI values and outcome in certain patients.Methods: In this prospective study, 1134 patients (81.7% male, 18.3% female with mean age of 58.18±11.16 years whom undergone PCI between January 2011 and December 2011 were chosen and their BMI and disease outcome was studied. Classification of BMI was: healthy weight (18.5 to 24.9 kg/m2, overweight (25 to 29.9 kg/m2, moderate obesity (30 to 34.9 kg/m2 and severe obesity (over 35 kg/m2. Baseline patient characteristics and in-hospital outcome were compared among BMI categories.Results: Major adverse cardiac events (MACE were significantly higher in patients with overweight and moderate obesity than two other groups. There was no difference in mortality, reinfarction, revascularisation, stroke and bleeding events among the 4 groups. Being overweight is an independent factor associated to in-hospital MACE (odds ratio [OR] 0.37, 95% confidence interval [CI] 0.17 to 0.73, p=0.01 and mortality rate (OR 0.20, 95%CI 0.04 to 0.85, p=0.03.Conclusion: BMI overall is not correlated to in-hospital MACE and mortality; however, overweight patients are at reduced risk for MACE and mortality.

  14. Effect of body mass index on in vitro fertilization outcomes in women

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    Anjali Sathya

    2010-01-01

    Full Text Available Background :Obesity has become a major health problem across the world. In women, it is known to cause anovulation, subfecundity, increased risk of fetal anomalies and miscarriage rates. However, in women going for assisted reproduction the effects of obesity on egg quality, embryo quality, clinical pregnancy, live birth rates are controversial. Objectives :To assess the effect of women′s body mass index (BMI on the reproductive outcome of non donor In vitro fertilization (IVF/Intracytoplasmic sperm injection (ICSI. The effects of BMI on their gonadotrophin levels (day 2 LH, FSH, gonadotrophin dose required for ovarian stimulation, endometrial thickness and oocyte/embryo quality were looked at, after correcting for age and poor ovarian reserve. Materials and Methods : Retrospective study of medical records of 308 women undergoing non donor IVF cycles in a University affiliated teaching hospital. They were classified into three groups: normal weight (BMI25 30 kg/m 2 . All women underwent controlled ovarian hyper stimulation using long agonist protocol. Results : There were 88 (28.6% in the normal weight group, 147 (47.7% in the overweight and 73 (23.7% in the obese group. All three groups were comparable with respect to age, duration of infertility, female and male causes of infertility. The three groups were similar with respect to day 2 LH/FSH levels, endometrial thickness and gonadotrophin requirements, oocyte quality, fertilization, cleavage rates, number of good quality embryos and clinical pregnancy rates. Conclusion :Increase in body mass index in women does not appear to have an adverse effect on IVF outcome. However, preconceptual counselling for obese women is a must as weight reduction helps in reducing pregnancy-related complications.

  15. Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes.

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    Jennifer E Ho

    Full Text Available Although obesity and cardiometabolic traits commonly overlap, underlying pathways remain incompletely defined. The association of metabolite profiles across multiple cardiometabolic traits may lend insights into the interaction of obesity and metabolic health. We sought to investigate metabolic signatures of obesity and related cardiometabolic traits in the community using broad-based metabolomic profiling.We evaluated the association of 217 assayed metabolites and cross-sectional as well as longitudinal changes in cardiometabolic traits among 2,383 Framingham Offspring cohort participants. Body mass index (BMI was associated with 69 of 217 metabolites (P<0.00023 for all, including aromatic (tyrosine, phenylalanine and branched chain amino acids (valine, isoleucine, leucine. Additional metabolic pathways associated with BMI included the citric acid cycle (isocitrate, alpha-ketoglutarate, aconitate, the tryptophan pathway (kynurenine, kynurenic acid, and the urea cycle. There was considerable overlap in metabolite profiles between BMI, abdominal adiposity, insulin resistance [IR] and dyslipidemia, modest overlap of metabolite profiles between BMI and hyperglycemia, and little overlap with fasting glucose or elevated blood pressure. Metabolite profiles were associated with longitudinal changes in fasting glucose, but the involved metabolites (ornithine, 5-HIAA, aminoadipic acid, isoleucine, cotinine were distinct from those associated with baseline glucose or other traits. Obesity status appeared to "modify" the association of 9 metabolites with IR. For example, bile acid metabolites were strongly associated with IR among obese but not lean individuals, whereas isoleucine had a stronger association with IR in lean individuals.In this large-scale metabolite profiling study, body mass index was associated with a broad range of metabolic alterations. Metabolite profiling highlighted considerable overlap with abdominal adiposity, insulin resistance

  16. Study of blood pressure and blood sugar levels in adolescence and comparison with body mass index

    Directory of Open Access Journals (Sweden)

    Ashwin Borade

    2011-01-01

    Full Text Available Background: Worldwide prevalence of overweight and obesity is increasing and its consequences prompted the WHO to designate obesity as a global epidemic in 2002. Being overweight is a risk factor for significant illness, especially diabetes and hypertension in adult life. Objectives : To study the blood pressure and blood sugar levels and lifestyle parameters in adolescence and comparison with body mass index. Materials and Methods: In a prospective case control study, out of the 1000 screened, a total of 200 adolescents were considered out of which 100 were with high body mass index (BMI and the other 100 were with normal BMI. Height, weight, BMI, waist hip ratio (WHR, blood pressure (BP, BSL, and associated risk factors like physical activity, fast food consumption, and computer/television watching were measured and screened. Results and Observations: 109 (54.5% males and 91 (45.5% females were included. Maximum number [90 (45%] of adolescents screened were in the age group of 17-19 years, while 54 (27% and 56 (28% adolescents were in the age group of 10-13 years and 14-16 years, respectively. According to CDC charts 2000, prevalence of overweight was 24% which was double when compared to WHO charts 2007. There was significant difference in prevalence of obesity; according to CDC chart it was 26%, whereas according to WHO chart it was 39%. The difference in blood pressures between cases and controls as per both CDC and WHO charts was found to be statistically significant (P 0.05 with BMI. Conclusion: The adolescents seem to have become heavier owing to environmental influences on growth patterns. So, a consideration should be given to shift the cut-offs for overweight and obesity to higher BMI percentiles if recent growth charts are to be followed. Adolescents with a BMI above the 95 >th percentile (obese are most likely to have obesity-related health risks.

  17. Bone mineral density, body mass index and cigarette smoking among Iranian women: implications for prevention

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    Nguyen Nguyen D

    2005-06-01

    Full Text Available Abstract Background While risk factors of osteoporosis in Western populations have been extensively documented, such a profile has not been well studied in Caucasians of non-European origin. This study was designed to estimate the modifiable distribution and determinants of bone mineral density (BMD among Iranian women in Australia. Methods Ninety women aged 35 years and older completed a questionnaire on socio-demographic and lifestyle factors. BMD was measured at the lumbar spine (LS and femoral neck (FN using DXA (GE Lunar, WI, USA, and was expressed in g/cm2 as well as T-score. Results In multiple regression analysis, advancing age, lower body mass index (BMI, and smoking were independently associated with LS and FN BMD, with the 3 factors collectively accounting for 30% and 38% variance of LS and FN BMD, respectively. LS and FN BMD in smokers was 8% lower than that in non-smokers. Further analysis of interaction between BMI and smoking revealed that the effect of smoking was only observed in the obese group (p = 0.029 for LSBMD and p = 0.007 for FNBMD, but not in the overweight and normal groups. Using T-scores from two bone sites the prevalence of osteoporosis (T-scores ≤ -2.5 was 3.8% and 26.3% in pre-and post-menopausal women, respectively. Among current smokers, the prevalence was higher (31.3% than that among ex-smokers (28.6% and non-smokers (7.5%. Conclusion These data, for the first time, indicate that apart from advancing age and lower body mass index, cigarette smoking is an important modifiable determinant of bone mineral density in these Caucasians of non-European origin.

  18. COMPARISION OF BODY MASS INDEX (BMI WITH HIGH DENSITY LIPOPROTEIN (HDL LEVELS IN OBESE PEOPLE

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    Anitha

    2015-11-01

    Full Text Available NTRODUCTION: Cardiovascular disease is a major cause of morbidity and mortality in industrialized nations. Serum lipid concentrations are related to cardiovascular disease risk and one notable association is a statistically significant inverse correlation between HDL-cholesterol concentrations and the probability of developing coronary artery disease. A major related cardiovascular disease risk factor is obesity. Excess body weight is closely linked to low serum HDL-cholesterol concentrations. The general assumption now is that excessive body weight is associated with enlarged adipose tissue deposits, visceral adipose tissue in particular, which in turn are accompanied by elevated serum triacylglycerol concentrations. A well-studied inverse association exists between serum triacylglycerol and HDL-cholesterol concentrations and this may explain the observed low serum HDL-cholesterol concentrations in obesity. This study is done to confirm the above fact. MATERIALS AND METHODS: The subjects for the study were 100 males in the age group of 21 to 40 years. The subjects taken as obese were 50 and those taken as controls were 50. Obesity was taken into account according to the Body Mass Index. RESULTS: Paired T test is done. Results show that 34/50 subjects with BMI 40mg/dl. 40/50 obese patients with BMI >25kg/m2 show HDL levels of <40mg/dl. Significant P value is seen. The study shows that BMI is inversely related to HDL cholesterol levels. DISCUSSION: High HDL cholesterol, above 60 mg/dl is associated with low risk of coronary heart disease. HDL cholesterol below 40 mg/dL is considered too low and appears to be an independent risk factor for coronary artery disease. Low HDL cholesterol is one of the most common phenotypes seen in persons with premature heart disease. Obesity is associated with low HDL cholesterol levels and high triglyceride levels. A negative correlation exists between HDL cholesterol and body-mass index (BMI, meaning that HDL

  19. Reverse relationship between blood boron level and body mass index in humans: does it matter for obesity?

    Science.gov (United States)

    Hasbahceci, Mustafa; Cipe, Gokhan; Kadioglu, Huseyin; Aysan, Erhan; Muslumanoglu, Mahmut

    2013-06-01

    The exact role of boron in humans is not known although its supplementation causes several important metabolic and inflammatory changes. The objective of this study is to evaluate the possibility of an association between blood boron level and obesity in normal, overweight, obese, and morbidly obese subjects. A total number of 80 subjects, categorized into four groups based on their body mass index as normal, overweight, obese, and morbidly obese, were enrolled in this study. Age, sex, body mass index, and blood boron levels were recorded for each subject. Although the distribution of female and male subjects and blood boron levels were similar between groups, the mean age of normal subjects was significantly lower than the others (p = 0.002). There was a significant relationship between age and quantitative values of body mass index for each subject (β = 0.24; p = 0.003). In addition, between blood boron levels and quantitative values of body mass index for each subject, a significant reverse relationship was detected (β = -0.16; p = 0.043). Although age seemed to be an important variable for blood boron level and body mass index, blood boron levels were shown to be lower in obese subjects in comparison to non-obese subjects.

  20. Effect of the exposure to maternal smoking during pregnancy and childhood on the body mass index until adolescence.

    Science.gov (United States)

    Muraro, Ana Paula; Gonçalves-Silva, Regina Maria Veras; Ferreira, Márcia Gonçalves; Silva, Gulnar Azevedo E; Sichieri, Rosely

    2015-01-01

    OBJECTIVE Investigate the effect of exposure to smoking during pregnancy and early childhood on changes in the body mass index (BMI) from birth to adolescence. METHODS A population-based cohort of children (0-5 years old) from Cuiabá, Midwest Brazil, was assessed in 1999-2000 (n = 2,405). Between 2009 and 2011, the cohort was re-evaluated. Information about birth weight was obtained from medical records, and exposure to smoking during pregnancy and childhood was assessed at the first interview. Linear mixed effects models were used to estimate the association between exposure to maternal smoking during pregnancy and preschool age, and the body mass index of children at birth, childhood and adolescence. RESULTS Only 11.3% of the mothers reported smoking during pregnancy, but most of them (78.2%) also smoked during early childhood. Among mothers who smoked only during pregnancy (n = 59), 97.7% had smoked only in the first trimester. The changes in body mass index at birth and in childhood were similar for children exposed and those not exposed to maternal smoking. However, from childhood to adolescence the rate of change in the body mass index was higher among those exposed only during pregnancy than among those who were not exposed. CONCLUSIONS Exposure to smoking only during pregnancy, especially in the first trimester, seems to affect changes in the body mass index until adolescence, supporting guidelines that recommend women of childbearing age to stop smoking.

  1. Effect of the exposure to maternal smoking during pregnancy and childhood on the body mass index until adolescence

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    Ana Paula Muraro

    2015-01-01

    Full Text Available OBJECTIVE Investigate the effect of exposure to smoking during pregnancy and early childhood on changes in the body mass index (BMI from birth to adolescence. METHODS A population-based cohort of children (0-5 years old from Cuiabá, Midwest Brazil, was assessed in 1999-2000 (n = 2,405. Between 2009 and 2011, the cohort was re-evaluated. Information about birth weight was obtained from medical records, and exposure to smoking during pregnancy and childhood was assessed at the first interview. Linear mixed effects models were used to estimate the association between exposure to maternal smoking during pregnancy and preschool age, and the body mass index of children at birth, childhood and adolescence. RESULTS Only 11.3% of the mothers reported smoking during pregnancy, but most of them (78.2% also smoked during early childhood. Among mothers who smoked only during pregnancy (n = 59, 97.7% had smoked only in the first trimester. The changes in body mass index at birth and in childhood were similar for children exposed and those not exposed to maternal smoking. However, from childhood to adolescence the rate of change in the body mass index was higher among those exposed only during pregnancy than among those who were not exposed. CONCLUSIONS Exposure to smoking only during pregnancy, especially in the first trimester, seems to affect changes in the body mass index until adolescence, supporting guidelines that recommend women of childbearing age to stop smoking.

  2. Perceived stress and freshman weight change: the moderating role of baseline body mass index.

    Science.gov (United States)

    Boyce, Jessica A; Kuijer, Roeline G

    2015-02-01

    The transition from high-school to university is a critical period of weight change. Popular media suggest that freshman students gain 15 lb (6.80 kg) of body weight during their first year at university (i.e., the freshman 15). In contrast, a recent meta-analysis calculated freshman weight gain to be 1.75 kg, with statistics suggesting that only a proportion of freshman students are prone to gain weight. Researchers are beginning to investigate how certain variables and interactions between such variables predict freshman weight status. The current study focused on body mass index (BMI) and psychological stress. In isolation, previous research has tested how these two variables predict freshman student's weight status. However, because BMI and stress interact to predict weight gain and weight loss in adult samples, the current study tested the interaction between student's baseline BMI and baseline stress levels to predict weight change in a New Zealand sample of freshman students (N=65). Participants completed two separate online surveys in March and October 2012 (i.e., New Zealand's academic year). Although only three students gained over 6.80 kg (i.e., the freshman 15), participants did gain a statistically significant 1.10 kg of body weight during the year. Consistent with previous research, students with a higher baseline BMI gained a higher amount of body weight. However, this main effect was qualified by an interaction between stress and BMI. Students who entered university with high levels of stress gained weight if they also had high BMIs; if they had lower BMIs then they lost weight. In order to reduce unhealthy levels of freshman weight change, vulnerable students need to be taught stress-reduction techniques and coping strategies early in the academic year.

  3. Body mass index and risk of pneumonia: a systematic review and meta-analysis.

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    Phung, D T; Wang, Z; Rutherford, S; Huang, C; Chu, C

    2013-10-01

    The aims of our meta-analysis were to examine the pattern and gender's influence on body mass index (BMI) - pneumonia relationship. Published studies were searched from PubMed, Web of Science, Cochrane Library databases using keywords of pneumonia, BMI and epidemiologic studies. Random-effects analysis was applied to estimate pooled effect sizes from individual studies. The Cochrane Q-test and index of heterogeneity (I(2) ) were used to evaluate heterogeneity, and Egger's test was used to evaluate publication bias. Random-effects meta-regression was applied to examine the pattern and gender's influence on BMI-pneumonia relationship. A total of 1,531 studies were initially identified, and 25 studies finally were included. The pooled relative risk (RR) and meta-regression model revealed a J-shaped relationship between BMI and risk of community-acquired pneumonia (underweight, RR 1.8, 95% confidence interval [CI], 1.4-2.2, P pneumonia (underweight, RR 1.9, 95% CI, 1.2-3, P pneumonia was found across the BMI groups. Gender difference did not make significant contribution in modifying BMI-pneumonia risk relationship.

  4. Effects of fluoxetine and melatonin on mood, sleep quality and body mass index in postmenopausal women.

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    Chojnacki, C; Walecka-Kapica, E; Klupinska, G; Pawlowicz, M; Blonska, A; Chojnacki, J

    2015-10-01

    Frequent mood and sleep disorders and increased appetite leading to obesity are observed in postmenopausal women. Due to the limitations of hormone replacement therapy the researchers look for other treatment regimes. The aim of the study was to evaluate the efficacy of fluoxetine and melatonin in the treatment of these disorders. The study included 64 overweight postmenopausal women, aged 54 - 65 years, with increased appetite. They were randomly assigned in 2 groups. In group I (n = 30) fluoxetine (20 mg in the morning) and placebo (in the evening) were administered for 24 weeks. Group II (n = 34) received fluoxetine (20 mg in the morning) and melatonin (5 mg in the evening) in the same period of time. Hamilton anxiety rating scale (HARS), Beck depression scale (BDI), the insomnia severity index (ISI) and body mass index (BMI) were used to assess the health status and the treatment efficacy. After 24 weeks, comparable and statistically significant reduction in the level of anxiety and depression was obtained in both groups. In group I, the ISI decreased from 14.9 ± 2.5 points to 10.9 ± 1.9 points (P melatonin was useful option to treat mood, sleep and appetite disorders in postmenopausal women.

  5. Evidence for higher heritability of somatotype compared to body mass index in female twins.

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    Reis, Victor Machado; Machado, João V; Fortes, Marcos S; Fernandes, Paula Roquetti; Silva, António José; Dantas, Paulo Silva; Filho, José Fernandes

    2007-01-01

    The influence of genetics on human physique and obesity has been addressed by the literature. Evidence for heritability of anthropometric characteristics has been previously described, mainly for the body mass index (BMI). However, few studies have investigated the influence of genetics on the Heath-Carter somatotype. The aim of the present study was to assess the heritability of BMI and somatotype (endomorphy, mesomorphy, and ectomorphy) in a group of female monozygotic and dizygotic twins from childhood to early adulthood. A total of 28 females aged from 7 to 19 years old were studied. The group included 5 monozygotic and 9 dizygotic pairs of twins. The heritability was assessed by the twin method (h(2)). The anthropometric measures and somatotype were assessed using standard validated procedures. Significant differences between monozygotic and dizygotic pairs of twins were found for height, endomorphy, ectomorphy, and mesomorphy, and the heritability for these measures was high (h(2) between 0.88 and 0.97). No significant differences were found between monozygotic and dizygotic twins for weight, and the BMI and the heritability indexes were lower for these measures (respectively 0.42 and 0.52). The results of the present study have indicated that the somatotype may be more sensible to genetic influences than the BMI in females.

  6. Body Dissatisfaction and Self-Esteem in Female Students Aged 9-15: the Effects of Age, Family Income, Body Mass Index Levels and Dance Practice

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    Monteiro Lilian A.; Novaes Jefferson S.; Santos Mara L.; Fernandes Helder M.

    2014-01-01

    This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32). The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.8...

  7. Relationships between gray matter, body mass index, and waist circumference in healthy adults.

    Science.gov (United States)

    Kurth, Florian; Levitt, Jennifer G; Phillips, Owen R; Luders, Eileen; Woods, Roger P; Mazziotta, John C; Toga, Arthur W; Narr, Katherine L

    2013-07-01

    Obesity and overweight are often defined by the body mass index (BMI), which associates with metabolic and cardiovascular disease, and possibly with dementia as well as variations in brain volume. However, body fat distribution and abdominal obesity (as measured by waist circumference) is more strongly correlated with cardiovascular and metabolic risk than is BMI. While prior studies have revealed negative associations between gray matter tissue volumes and BMI, the relationship with respect to waist circumference remains largely unexplored. We therefore investigated the effects of both BMI and waist circumference on local gray matter volumes in a group of 115 healthy subjects screened to exclude physical or mental disorders that might affect the central nervous system. Results revealed significant negative correlations for both BMI and waist circumference where regional gray matter effects were largest within the hypothalamus and further encompassed prefrontal, anterior temporal and inferior parietal cortices, and the cerebellum. However, associations were more widespread and pronounced for waist circumference than BMI. Follow-up analyses showed that these relationships differed significantly across gender. While associations were similar for both BMI and waist circumference for males, females showed more extensive correlations for waist circumference. Our observations suggest that waist circumference is a more sensitive indicator than BMI, particularly in females, for potentially determining the adverse effects of obesity and overweight on the brain and associated risks to health.

  8. Urinary triclosan is associated with elevated body mass index in NHANES.

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    Joanna Lankester

    Full Text Available BACKGROUND: Triclosan-a ubiquitous chemical in toothpastes, soaps, and household cleaning supplies-has the potential to alter both gut microbiota and endocrine function and thereby affect body weight. METHODS: We investigated the relationship between triclosan and body mass index (BMI using National Health and Nutrition Examination Surveys (NHANES from 2003-2008. BMI and spot urinary triclosan levels were obtained from adults. Using two different exposure measures-either presence vs. absence or quartiles of triclosan-we assessed the association between triclosan and BMI. We also screened all NHANES serum and urine biomarkers to identify correlated factors that might confound observed associations. RESULTS: Compared with undetectable triclosan, a detectable level was associated with a 0.9-point increase in BMI (p<0.001. In analysis by quartile, compared to the lowest quartile, the 2nd, 3rd and 4th quartiles of urinary triclosan were associated with BMI increases of 1.5 (p<0.001, 1.0 (p = 0.002, and 0.3 (p = 0.33 respectively. The one strong correlate of triclosan identified in NHANES was its metabolite, 2,4-dichlorophenol (ρ = 0.4; its association with BMI, however, was weaker than that of triclosan. No other likely confounder was identified. CONCLUSIONS: Triclosan exposure is associated with increased BMI. Stronger effect at moderate than high levels suggests a complex mechanism of action.

  9. Gestational weight gain and body mass index in children: results from three german cohort studies.

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    Andreas Beyerlein

    Full Text Available INTRODUCTION: Previous studies suggested potential priming effects of gestational weight gain (GWG on offspring's body composition in later life. However, consistency of these effects in normal weight, overweight and obese mothers is less clear. METHODS: We combined the individual data of three German cohorts and assessed associations of total and excessive GWG (as defined by criteria of the Institute of Medicine with offspring's mean body mass index (BMI standard deviation scores (SDS and overweight at the age of 5-6 years (total: n = 6,254. Quantile regression was used to examine potentially different effects on different parts of the BMI SDS distribution. All models were adjusted for birth weight, maternal age and maternal smoking during pregnancy and stratified by maternal pre-pregnancy weight status. RESULTS: In adjusted models, positive associations of total and excessive GWG with mean BMI SDS and overweight were observed only in children of non- overweight mothers. For example, excessive GWG was associated with a mean increase of 0.08 (95% CI: 0.01, 0.15 units of BMI SDS (0.13 (0.02, 0.24 kg/m(2 of 'real' BMI in children of normal-weight mothers. The effects of total and excessive GWG on BMI SDS increased for higher- BMI children of normal-weight mothers. DISCUSSION: Increased GWG is likely to be associated with overweight in offspring of non-overweight mothers.

  10. The Association between Marital Transitions, Body Mass Index, and Weight: A Review of the Literature

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    Lauren Dinour

    2012-01-01

    Full Text Available Objective. To examine the association between different marital transitions and changes in body mass index (BMI and body weight. Methods. A systematic literature search was conducted for peer-reviewed articles published between January 1990 and December 2011. Longitudinal studies were included if they compared dependent variables, such as BMI or weight, before and after a change in marital status. Results. Twenty articles were included: 4 articles described only transitions into marriage and/or cohabitation, 2 articles described only transitions out of marriage and/or cohabitation, and 14 articles described both. Overall, transitions into marriage were associated with weight gain, whereas transitions out of marriage were associated with weight loss. No major differences were observed between genders or across specific marital transition states. Conclusions. Additional research is warranted to better understand this phenomenon and the impact of marital transitions on obesity and obesity-related behaviors. This paper highlights potential opportunities to incorporate programs, practices, and policies that aim to promote and support healthy weights and lifestyles upon entering or leaving a marriage or cohabiting relationship.

  11. Female waist-to-hip ratio, body mass index and sexual attractiveness in China

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    B.J. DIXSON, Baoguo LI, A.F. DIXSON

    2010-04-01

    Full Text Available Men and women at Northwest University (n = 751, Xi’an, China were asked to judge the attractiveness of photographs of female patients who had undergone micrograft surgery to reduce their waist-to-hip ratios (WHR. Micrograft surgery involves harvesting adipose tissue from the waist and reshaping the buttocks to produce a low WHR and an ‘hourglass’ female figure. This gynoid distribution of female body fat has been shown to correlate with measures of fertility and health. Significantly larger numbers of subjects, of both sexes, chose post-operative photographs, with lower WHRs, as more attractive than pre-operative photographs of the same women. Some patients had gained, and some had lost weight, post-operatively, with resultant changes in body mass index (BMI. However, these changes in BMI were not related to judgments of attractiveness. These results show that the hourglass female figure is rated as attractive in China, and that WHR, rather than BMI, plays a crucial role in such attractiveness judgments [Current Zoology 56 (2: 175–181, 2010].

  12. Correlation between Body Mass Index and Waist Circumference in Patients with Metabolic Syndrome.

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    Gierach, Marcin; Gierach, Joanna; Ewertowska, Marlena; Arndt, Adam; Junik, Roman

    2014-01-01

    Metabolic syndrome is defined as a group of coexisting metabolic risk factors, such as central obesity, lipid disorders, carbohydrate disorders, and arterial hypertension. According to the 2005 IDF criteria, subsequently revised in 2009, abdominal obesity is identified as the waist circumference of ≥80 cm in women and ≥94 cm in men. It is responsible for the development of insulin resistance. The aim of our study was to demonstrate a correlation between waist circumference (WC) and body mass index (BMI) in patients with metabolic syndrome in relation with hypertension, lipid disorders, and carbohydrate disorders. A cross-sectional two-site study was conducted in the Kuyavian-Pomeranian Voivodeship for 24 months. The study group consisted of 839 patients with diagnosed metabolic syndrome: 345 men (41.1%) and 494 women (58.9%) aged 32-80. In the study group, WC was found to be significantly correlated with BMI (R = 0.78, P < 0.01). The presence of overweight in men (BMI 25, 84 kg/m(2)) and even normal body weight in women (BMI 21,62 kg/m(2)) corresponds to an increased volume of visceral tissue in the abdomen. Introduction of primary prophylaxis in those people to limit the development of diabetes mellitus type 2 and cardiovascular diseases should be considered.

  13. Early Childhood Caries and Body Mass Index in Young Children from Low Income Families

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    Maria Goretti Queiroz

    2013-03-01

    Full Text Available The relationship between early childhood caries (ECC and obesity is controversial. This cross-sectional survey investigated this association in children from low-income families in Goiania, Goias, Brazil and considered the role of several social determinants. A questionnaire examining the characteristics of the children and their families was administered to the primary caregiver during home visits. In addition, children (approximately 6 years of age had their height, weight, and tooth condition assessed. The primary ECC outcome was categorized as one of the following: caries experience (decayed, missing, filled tooth: “dmft” index > 0, active ECC (decayed teeth > 0, or active severe ECC (decayed teeth ≥ 6. Descriptive, bivariate and logistic regression analyses were conducted. The participants in the current study consisted of 269 caregiver-child dyads, 88.5% of whom were included in the Family Health Program. Caregivers were mostly mothers (67.7%, were 35.3 ± 10.0 years old on average and had 9.8 ± 3.1 years of formal education. The mean family income was 2.3 ± 1.5 times greater than the Brazilian minimum wage. On average, the children in the current study were 68.7 ± 3.8 months old. Of these, 51.7% were boys, 23.4% were overweight or obese, 45.0% had active ECC, and 17.1% had severe ECC. The average body mass index (BMI of the children was 15.9 ± 2.2, and their dmft index was 2.5 ± 3.2. BMI was not associated with any of the three categories of dental caries (p > 0.05. In contrast, higher family incomes were significantly associated with the lack of caries experience in children (OR 1.22, 95%CI 1.01–1.50, but the mother’s level of education was not significantly associated with ECC.

  14. Early childhood caries and body mass index in young children from low income families.

    Science.gov (United States)

    Costa, Luciane Rezende; Daher, Anelise; Queiroz, Maria Goretti

    2013-03-05

    The relationship between early childhood caries (ECC) and obesity is controversial. This cross-sectional survey investigated this association in children from low-income families in Goiania, Goias, Brazil and considered the role of several social determinants. A questionnaire examining the characteristics of the children and their families was administered to the primary caregiver during home visits. In addition, children (approximately 6 years of age) had their height, weight, and tooth condition assessed. The primary ECC outcome was categorized as one of the following: caries experience (decayed, missing, filled tooth: "dmft" index > 0), active ECC (decayed teeth > 0), or active severe ECC (decayed teeth ≥ 6). Descriptive, bivariate and logistic regression analyses were conducted. The participants in the current study consisted of 269 caregiver-child dyads, 88.5% of whom were included in the Family Health Program. Caregivers were mostly mothers (67.7%), were 35.3 ± 10.0 years old on average and had 9.8 ± 3.1 years of formal education. The mean family income was 2.3 ± 1.5 times greater than the Brazilian minimum wage. On average, the children in the current study were 68.7 ± 3.8 months old. Of these, 51.7% were boys, 23.4% were overweight or obese, 45.0% had active ECC, and 17.1% had severe ECC. The average body mass index (BMI) of the children was 15.9 ± 2.2, and their dmft index was 2.5 ± 3.2. BMI was not associated with any of the three categories of dental caries (p > 0.05). In contrast, higher family incomes were significantly associated with the lack of caries experience in children (OR 1.22, 95%CI 1.01-1.50), but the mother's level of education was not significantly associated with ECC.

  15. Developmental trajectories of body mass index among Japanese children and impact of maternal factors during pregnancy.

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    Chiyori Haga

    Full Text Available BACKGROUND: The aims of this study were to 1 determine the distinct patterns of body mass index (BMI trajectories in Japanese children, and 2 elucidate the maternal factors during pregnancy, which contribute to the determination of those patterns. METHODOLOGY/PRINCIPAL FINDINGS: All of the children (1,644 individuals born in Koshu City, Japan, between 1991 and 1998 were followed in a longitudinal study exploring the subjects' BMI. The BMI was calculated 11 times for each child between birth and 12 years of age. Exploratory latent class growth analyses were conducted to identify trajectory patterns of the BMI z-scores. The distribution of BMI trajectories were best characterized by a five-group model for boys and a six-group model for girls. The groups were named "stable thin," "stable average," "stable high average," "progressive overweight," and "progressive obesity" in both sexes; girls were allocated to an additional group called "progressive average." Multinomial logistic regression found that maternal weight, smoking, and skipping breakfast during pregnancy were associated with children included in the progressive obesity pattern rather than the stable average pattern. These associations were stronger for boys than for girls. CONCLUSIONS/SIGNIFICANCE: Multiple developmental patterns in Japanese boys and girls were identified, some of which have not been identified in Western countries. Maternal BMI and some unfavorable behaviors during early pregnancy may impact a child's pattern of body mass development. Further studies to explain the gender and regional differences that were identified are warranted, as these may be important for early life prevention of weight-associated health problems.

  16. he relationship of body mass index to penile length and testicular volume in adolescent boys

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    Rizky Adriansyah

    2012-09-01

    Full Text Available Background Evidence suggests that obesity may be related to early onset of puberty in girls. However, few studies have found a link between body mass index (BMI and puberty onset in boys. More study is needed to assess the relationship of BMI to penile length and testicular volume. Objective To investigate the relationship of BMI to penile length and testicular volume in adolescent boys. Methods A cross-sectional study was carried out on adolescent boys aged 9 to 14 years in Secanggang District, Langkat Regency, North Sumatera Province in August 2009. Subject's BMIs were calculated by dividing body weight (BW in kilograms by body height (BH in meters squared. Penile length (cm was measured with a spatula. We took the average of three measurements from the symphysis pubis to the tip of the glans penis. Testicular volume (mL was estimated by palpation using an orchidometer. Pearson's correlation test (r was used to assess the relationship of BMI to penile length and BMI to testicular volume. Results There were 108 participants, consisting of 64 primary school students and 44 junior high school students. Subjects' mean age was 11.7 (SD 1.62 years,; mean BW was 35.2 (SD 8.84 kg; mean testicular volume was 3.6 (SD 1.20 mL. We found no significant association between BMI and penile length (r=-0.25, P= 0.006, nor between BMI and testicular volume (r=-021; P=0.09. Conclusion There was no significant relationship of BMI to penile length nor BMI to testicular volume in adolescent boys. [

  17. Psychiatric Status across Body Mass Index in a Mediterranean Spanish Population.

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    Mario Gutiérrez-Bedmar

    Full Text Available Mental and body weight disorders are among the major global health challenges, and their comorbidity may play an important role in treatment and prevention of both pathologies. A growing number of studies have examined the relationship between psychiatric status and body weight, but our knowledge is still limited.The present study aims to investigate the cross-sectional relationships of psychiatric status and body mass index (BMI in Málaga, a Mediterranean city in the South of Spain.A total of 563 participants were recruited from those who came to his primary care physician, using a systematic random sampling, non-proportional stratified by BMI categories. Structured clinical interviews were used to assess current Axes-I and II mental disorders according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR. BMI was calculated as weight (Kg divided by square of height in meters (m2. Logistic regression was used to investigate the association between BMI and the presence of any mental disorder. BMI was introduced in the models using restricted cubic splines.We found that high BMI values were directly associated with mood and adjustment disorders, and low BMI values were directly associated with avoidant and dependent personality disorders (PDs. We observed an inverse relationship between low BMI values and cluster A PDs. There were not significant relationships between anxiety or substance-related disorders and BMI.Psychiatric status and BMI are related in a Mediterranean Spanish population. A multidisciplinary approach to both pathologies becomes increasingly more necessary.

  18. The role of aging, body mass index and estrogen on symptomatic lumbar osteoarthritis in post-menopausal women

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    I Ketut Suyasa

    2016-05-01

    Results: From 196 samples showed that the estrogen deficiency in postmenopausal women have a correlation with the symptomatic lumbar OA (r=0.252, p = 0.000. While age and the body mass index in postmenopausal women has a correlation with symptomatic lumbar OA (r = 0.150 and 0.198, p = 0.000 and 0.013. Conclusions: The aging process, body mass index and estrogen deficiency correlated with the symptomatic OA lumbar in post-menopausal women. [Int J Res Med Sci 2016; 4(5.000: 1325-1328

  19. The Relationship of Age, Body Mass Index, and Individual Habit to Bone Mineral Density in Adults

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    Park, Soung Ock; Lee, In Ja; Shin, Gwi Soon [Dept. of Radiologic Techology, Dongnam Health College, Suwon (Korea, Republic of)

    2008-12-15

    We studied the change of bone mineral density (BMD) by age, body mass index (BMI), coffee, carbonated drink, alcohol, smoking, and exercise in adults who checked in health center. The number of study subjects was total 268 persons (women of 136 persons and men of 132 persons). The BMD was determined in lumbar spine and femoral neck by dual energy x-ray absorptiometry. And we got some results as below : 1. In women, mean body height was , mean body weight was 155.8{+-}6.0 cm, and mean BMI was 56.8{+-}7.9 kg. In men, mean body height was 169.1{+-}6.0 cm, mean body weight was 69.0{+-}9.5 kg, and mean BMI was 24.1{+-}2.7 kg/m{sup 2}. 2. BMD decreased as age increased, and the age was the most determinant factor for BMD (p<0.01). Women's BMD decreased rapidly in the groups aged {>=}50s, while men's BMD decreased gradually with age. In addition, for both sex, lower BMD was measured in lumbar spine than in femoral neck. 3. BMD increased in high BMI, and BMD with BMI increased distinctly in the group aged 50s. But their relationship was not significant. 4. In view of the distribution by three BMD categories, women's BMD was mostly normal in the groups aged {>=}40s but the rate of osteopenia and osteoporosis was similar in the group aged 50s, and the rate of osteoporosis was the highest in the groups aged 60s and 70s. Men's BMD was mostly normal through all groups except the group aged 70s. 5. Coffee and carbonated drink were not influenced in BMD. But alcohol-drinking group showed higher BMD than non-drinking group, and alcohol was statistically significant determinant for BMD (p<0.05). Smoking and exercise were not statistically significant determinant of BMD.

  20. Associations between lifestyle patterns and body mass index in a sample of Greek children and adolescents

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    Kontogianni, Meropi D; Farmaki, Anastasia-Eleni; Vidra, Nikoletta; Sofrona, Stavroula; Magkanari, Flora; Yannakoulia, Mary

    2010-01-01

    BACKGROUND: Although eating and physical activity behaviors have been previously individually investigated with regard to overweight in children, multidimensional lifestyle patterns, based on these behaviors, have not been explored. OBJECTIVE: To assess lifestyle patterns in relation to body mass in

  1. Body mass index and body fat percentage are associated with decreased physical fitness in adolescent and adult female volleyball players

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    Pantelis Theo Nikolaidis

    2013-01-01

    Full Text Available Background: The objectives of this study were to examine (a the prevalence of overweight/obesity, and (b the relationship between body mass index (BMI, body fat percentage (BF and physical fitness in adolescent and adult female volleyball players. Materials and Methods: Adolescent (n = 102, aged 15.2 ± 2.0 year and adult (n = 57, 25.9 ± 5.0 year players were examined for anthropometric characteristics and body composition, and performed the physical working capacity in heart rate 170 min -1 test, a force-velocity test, the Wingate anaerobic test (WAnT, sit-and-reach test (SAR, handgrip strength test (HST and countermovement vertical jump (CVJ. Results: Based on international BMI cut-off points, 27.5% (n = 28 of adolescent and 12.3% (n = 7 of adult participants were classified as overweight, with the prevalence of overweight being higher in girls than in women (χ2 = 4.90, P = 0.027. BMI was correlated with BF in both age groups (r = 0.72, P < 0.001 in girls; r = 0.75, P < 0.001 in women. Normal participants had superior certain physical and physiological characteristics than those who were overweight. For instance, normal girls and women had higher mean power during WAnT than their overweight counterparts (P = 0.003 and P = 0.009 respectively. Except for flexibility, BMI and BF were inversely related with physical fitness (e.g., BMI vs. HST r = -0.39, P < 0.001 in girls; BF vs. CVJ r = -0.45, P < 0.001 in women. Conclusion: The findings confirmed the negative effect of overweight and fatness on selected parameters of physical fitness. The prevalence of overweight in adolescent volleyball players was higher than in general population, which was a novel finding, suggesting that proper exercise interventions should be developed to target the excess of body mass in youth volleyball clubs.

  2. Accuracy of body mass index (BMI) thresholds for predicting excess body fat in girls from five ethnicities.

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    Duncan, J Scott; Duncan, Elizabeth K; Schofield, Grant

    2009-01-01

    The association between body mass index (BMI) and body fat in young people differs among ethnic groups. Consequently, BMI thresholds for defining childhood overweight may not represent an equivalent level of adiposity in multiethnic populations. The objectives of this study were to characterise the relationships between BMI and percentage body fat (%BF) and to determine the appropriateness of universal BMI standards for predicting excess fatness in girls from five ethnic groups. The BMI and %BF of 1,676 European, Maori, Pacific Island, East Asian, and South Asian girls aged 5-16 years were determined using anthropometric and bioimpedance measurements. Receiver operating characteristic (ROC) curves were prepared to assess the sensitivity and specificity of the International Obesity Taskforce (IOTF) and Centers for Disease Control and Prevention (CDC) BMI thresholds for detecting %BF >85th percentile. Compared with European girls, South and East Asians averaged 4.2% and 1.3% more %BF at a fixed BMI and age, whereas Pacific Islanders averaged 1.8% less %BF. Areas under the ROC curves ranged from 89.9% to 92.4%, suggesting that BMI is an acceptable screening tool for identifying excess adiposity. However, the IOTF and CDC thresholds showed low sensitivity for predicting excess %BF in South and East Asian girls, with low specificity in Pacific Island and Maori girls. The development of an ethnic-specific definition of overweight improved diagnostic performance. We conclude that BMI can be an acceptable proxy measure of excess fatness in girls from diverse ethnicities, especially when ethnic-specific BMI reference points are implemented.

  3. Relationship of Body Mass Index with periodontal health status of green marble mine laborers in Kesariyaji, India

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    Santhosh Kumar

    2009-12-01

    Full Text Available It is evident from literature that an increased body mass index (BMI may be a potential risk factor for periodontitis. Association between BMI and periodontitis has been ascribed to unhealthy dietary patterns with insufficient micronutrients and excess sugar and fat content. The present study population has been plagued by unhealthy nutritional practices, hence the present study intended to assess the relation between BMI and periodontal status among green marble mine laborers of Kesariyaji, in the Udaipur district of Rajasthan, India. The study sample comprised of 513 subjects aged 18-54 years, drawn using the stratified cluster sampling procedure. BMI was calculated as the ratio of the subject's body weight (in kg to the square of their height (in meters. Periodontal status was recorded using the Community Periodontal Index (CPI. Binary multiple logistic regression analysis was executed to assess the relation between body mass index and periodontitis. The dependent variable for logistic regression analysis was categorized into control group (scores 0 - 2 of the CPI and periodontitis group (scores 3 and 4 of the CPI. The overall prevalence of periodontal disease was 98.2%. Caries status and mean number of teeth present deteriorated with the poor periodontal status. Subjects had an increased risk of periodontitis by 57% for each 1kg/m² increase in the body mass index, which means that a higher body mass index could be a potential risk factor for periodontitis among the adults aged 18 to 54 years. In conclusion, evaluation of the body mass index could be used in periodontal risk assessment.

  4. Relationship of body mass index with periodontal health status of green marble mine laborers in Kesariyaji, India.

    Science.gov (United States)

    Kumar, Santhosh; Dagli, Rushabh J; Dhanni, Chandrakant; Duraiswamy, Prabu

    2009-01-01

    It is evident from literature that an increased body mass index (BMI) may be a potential risk factor for periodontitis. Association between BMI and periodontitis has been ascribed to unhealthy dietary patterns with insufficient micronutrients and excess sugar and fat content. The present study population has been plagued by unhealthy nutritional practices, hence the present study intended to assess the relation between BMI and periodontal status among green marble mine laborers of Kesariyaji, in the Udaipur district of Rajasthan, India. The study sample comprised of 513 subjects aged 18-54 years, drawn using the stratified cluster sampling procedure. BMI was calculated as the ratio of the subject's body weight (in kg) to the square of their height (in meters). Periodontal status was recorded using the Community Periodontal Index (CPI). Binary multiple logistic regression analysis was executed to assess the relation between body mass index and periodontitis. The dependent variable for logistic regression analysis was categorized into control group (scores 0 - 2 of the CPI) and periodontitis group (scores 3 and 4 of the CPI). The overall prevalence of periodontal disease was 98.2%. Caries status and mean number of teeth present deteriorated with the poor periodontal status. Subjects had an increased risk of periodontitis by 57% for each 1kg/m(2) increase in the body mass index, which means that a higher body mass index could be a potential risk factor for periodontitis among the adults aged 18 to 54 years. In conclusion, evaluation of the body mass index could be used in periodontal risk assessment.

  5. Body mass index, pain and function in individuals with knee osteoarthritis

    Directory of Open Access Journals (Sweden)

    Adewale L Oyeyemi

    2013-01-01

    Full Text Available Background: Obesity is a risk factor for progression of knee osteoarthritis (OA, and high body mass index (BMI may interfere with treatment effectiveness on pain and function in individuals with knee OA. This study investigated the effects of BMI on pain and function during a four-week exercise programme in patients with knee OA. Materials and Methods: Forty-six (31 women and 15 men participants with knee OA of different BMI categories (15 normal weight participants, 13 over weight participants and 18 obese participants, received standardised exercise therapy programme twice a week for 4 weeks. Outcome included a 10-point pain rating scale for pain-intensity and the western Ontario and McMaster university osteoarthritis index (WOMAC for physical function. Results: Two-way repeated measure analysis of variance (ANOVA on pain assessment score revealed a significant effect of time (F = 1049.401, P < 0.001 and group (F = 9.393, P < 0.001 on pain. Similar significant effect of time (F = 595.744, P < 0.001 and group (F = 5.431, P = 0.008 was obtained for WOMAC score on function. Post hoc analysis revealed significant difference between the normal weight and overweight group (t = 2.472, P = 0.016 and between normal weight and obese group (t = 3.893, P = 0.005 on pain outcome at the 4 th week post treatment. No significant difference was found at 4 th week post treatment on WOMAC scores (F = 2.010, P = 0.146. Conclusion: Exercise improved pain and function scores in OA patients across the BMI groups. Overweight independent of obesity may interfere with effectiveness of pain control during the symptomatic treatment of knee OA patients.

  6. Correlation between Body Mass Index and Central Adiposity with Pregnancy Complications in Pregnant Women

    Directory of Open Access Journals (Sweden)

    Mehrangiz Ebrahimi-Mameghani

    2013-06-01

    Full Text Available Background: The prevalence of obesity is increasing throughout the world. Obesity assessed by body mass index (BMI has shown to be associated with gestational complications while the relationship using waist circumference (WC is not clear yet. The present study was aimed to determine the relationship be-tween WC and adverse pregnancy complications.Methods: In this prospective cohort study, 1140 nulliparous pregnant women at 1st trimester of pregnancy referred to health care centers in Tabriz, Iran were enrolled in 2009-2010. Anthropometric indexes including (weight, height and WC were measured using standardized measures and methods. BMI was clas-sified into normal, overweight and obesity based on WHO classification. Ab-dominal obesity was defined as WC ≥ 88 cm. Pregnancy complication including gestational diabetes, hypertension and preeclamsia. Data were analyzed using SPSS, version 16.Results: Mean of BMI and WC were 24.32±4.08 kg/m2, 81.84±9.25cm at 1st trimester of pregnancy, respectively. Prevalence of overweight (BMI=25-29.9 kg/m2 and obesity (BMI>29.9 kg/m2 was 27.6%, 8.8%, respectively. Abdo-minal obesity based on WC was 34.8%. Significant correlations were found between BMI and WC (r=0.73, P =0.0001. Women with BMI>29.9 kg/m2 and WC>88 cm were more likely to suffer from gestational pregnancy and hyper-tension, as well as preeclampsia and preterm delivery.Conclusion: Early maternal WC similar to BMI is related with pregnancy complications.

  7. Relation of Serial Changes in Childhood Body-Mass Index to Impaired Glucose Tolerance in Young Adulthood

    Science.gov (United States)

    Bhargava, Santosh K.; Sachdev, Harshpal Singh; Fall, Caroline H.D.; Osmond, Clive; Lakshmy, Ramakrishnan; Barker, David J.P.; Biswas, Sushant K. Dey; Ramji, Siddharth; Prabhakaran, Dorairaj; Reddy, Kolli Srinath

    2012-01-01

    BACKGROUND The risk of type 2 diabetes mellitus is increased in people who have low birth weights and who subsequently become obese as adults. Whether their obesity originates in childhood and, if so, at what age are unknown. Understanding the origin of obesity may be especially important in developing countries, where type 2 diabetes is rapidly increasing yet public health messages still focus on reducing childhood “undernutrition.” METHODS We evaluated glucose tolerance and plasma insulin concentrations in 1492 men and women 26 to 32 years of age who had been measured at birth and at intervals of three to six months throughout infancy, childhood, and adolescence in a prospective, population-based study. RESULTS The prevalence of impaired glucose tolerance was 10.8 percent, and that of diabetes was 4.4 percent. Subjects with impaired glucose tolerance or diabetes typically had a low body-mass index up to the age of two years, followed by an early adiposity rebound (the age after infancy when body mass starts to rise) and an accelerated increase in body-mass index until adulthood. However, despite an increase in body-mass index between the ages of 2 and 12 years, none of these subjects were obese at the age of 12 years. The odds ratio for disease associated with an increase in the body-mass index of 1 SD from 2 to 12 years of age was 1.36 (95 percent confidence interval, 1.18 to 1.57; P<0.001). CONCLUSIONS There is an association between thinness in infancy and the presence of impaired glucose tolerance or diabetes in young adulthood. Crossing into higher categories of body-mass index after the age of two years is also associated with these disorders. PMID:14985484

  8. A composite score combining waist circumference and body mass index more accurately predicts body fat percentage in 6-to 13-year-old children

    NARCIS (Netherlands)

    Aeberli, I.; Gut-Knabenhans, M.; Kusche-Ammann, R.S.; Molinari, L.; Zimmermann, M.B.

    2013-01-01

    Body mass index (BMI) and waist circumference (WC) are widely used to predict % body fat (BF) and classify degrees of pediatric adiposity. However, both measures have limitations. The aim of this study was to evaluate whether a combination of WC and BMI would more accurately predict %BF than either

  9. Evaluering af overensstemmelsen af body condition score og feline body mass index sammenlignet med dual energy X-ray absorptiometry hos katte

    DEFF Research Database (Denmark)

    Falkenberg, Michael; Hølmkjær, Kirsten Madsen; Cronin, Anna;

    2016-01-01

    Formål: Obesitet er et stigende problem blandt katte, og der er derfor brug for nemme, billige og hurtige metoder til vurdering af kattes kropssammensætning i praksis. Indeværende studie sammenligner to klinisk applicerbare metoder: Body condition score (BCS) og feline body mass index (FBMI) mod...

  10. Dietary habits, economic status, academic performance and body mass index in school children: a comparative study.

    Science.gov (United States)

    Kukulu, Kamile; Sarvan, Süreyya; Muslu, Leyla; Yirmibesoglu, Serife Gözde

    2010-12-01

    The changes in dietary habits and way of life of adolescents can lead to some nutrition problems. The purpose of this study was to compare dietary habits of children living in metropolitan and non-metropolitan areas regarding their physical characteristics, socio-economic milieu and educational level. A total of 737 students studying in the 6th, 7th and 8th grades of two different primary schools took part in the study. Data were collected by a questionnaire including dietary habits of participants. Furthermore, the weight and height of students were measured and their body mass index was calculated. During the study, while 4.3 percent of students living in the non-metropolitan area were found obese, this figure was 8.4 percent in the metropolitan area. A big majority of non-metropolitan students have breakfast and lunch at home. Metropolitan students not having lunch at home have their lunch at restaurants or school canteens and generally consume more snacks. The obesity risk of students participating in the study was found to be high. Intervention programs should be organized in order to inform the students about the importance of healthy nutrition and lead them to change their current consumption behavior.

  11. Relationship of prediagnostic body mass index with survival after colorectal cancer: Stage-specific associations.

    Science.gov (United States)

    Kocarnik, Jonathan M; Chan, Andrew T; Slattery, Martha L; Potter, John D; Meyerhardt, Jeffrey; Phipps, Amanda; Nan, Hongmei; Harrison, Tabitha; Rohan, Thomas E; Qi, Lihong; Hou, Lifang; Caan, Bette; Kroenke, Candyce H; Strickler, Howard; Hayes, Richard B; Schoen, Robert E; Chong, Dawn Q; White, Emily; Berndt, Sonja I; Peters, Ulrike; Newcomb, Polly A

    2016-09-01

    Higher body mass index (BMI) is a well-established risk factor for colorectal cancer (CRC), but is inconsistently associated with CRC survival. In 6 prospective studies participating in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), 2,249 non-Hispanic white CRC cases were followed for a median 4.5 years after diagnosis, during which 777 died, 554 from CRC-related causes. Associations between prediagnosis BMI and survival (overall and CRC-specific) were evaluated using Cox regression models adjusted for age at diagnosis, sex, study and smoking status (current/former/never). The association between BMI category and CRC survival varied by cancer stage at diagnosis (I-IV) for both all-cause (p-interaction = 0.03) and CRC-specific mortality (p-interaction = 0.04). Compared to normal BMI (18.5-24.9 kg/m(2) ), overweight (BMI 25.0-29.9) was associated with increased mortality among those with Stage I disease, and decreased mortality among those with Stages II-IV disease. Similarly, obesity (BMI ≥30) was associated with increased mortality among those with Stages I-II disease, and decreased mortality among those with Stages III-IV disease. These results suggest the relationship between BMI and survival after CRC diagnosis differs by stage at diagnosis, and may emphasize the importance of adequate metabolic reserves for colorectal cancer survival in patients with late-stage disease.

  12. Dietary habits and normal body mass index association in Chilean soldiers

    Directory of Open Access Journals (Sweden)

    Samuel Durán-Agüero

    2016-12-01

    Full Text Available Introduction: Eating habits of various age and professional groups has been evaluated. However, there is little information on the dietary habits of soldiers. The aim of this study is to associate eating habits with the normal body mass index (BMI in Chilean soldiers from Buin Regiment. Material and Methods: 412 soldiers were evaluated. Food survey and anthropometric evaluation was applied to each soldier. It was considered a normal BMI when the subject was between 18.5-24.9kg/m2, overweight between 25.0-29.9kg/m2 and obesity ≥30.0kg/m2, according to the WHO recommendations. Results: 41.2% of the soldiers show a normal BMI, 43.1% present overweight and 15.7% exhibit obesity. Only 5% meet the dairy and fruit Chilean recommendations, however almost 40% of them consume 1time/day (OR:0.41; IC95%:0.19-0.88 and legume consumption (>1time/week (OR:0.29; IC95%:0.14-0.60. Conclusions: A low consumption of dairy products, fruits, vegetables and legumes is noted, and a high consumption of sweetened beverages. In addition, intake of dairy products and legumes is related with a normal BMI.

  13. Coronary heart disease incidence in women by waist circumference within categories of body mass index.

    Science.gov (United States)

    Canoy, Dexter; Cairns, Benjamin J; Balkwill, Angela; Wright, F Lucy; Green, Jane; Reeves, Gillian; Beral, Valerie

    2013-10-01

    High body mass index (BMI) and large waist circumference are separately associated with increased coronary heart disease (CHD) risk but these measures are highly correlated. Their separate associations with incident CHD, cross-classifying one variable by the other, are less investigated in large-scale studies. We examined these associations in a large UK cohort (the Million Women Study), which is a prospective population-based study. We followed 496,225 women (mean age 60 years) with both waist circumference and BMI measurements who had no vascular disease or cancer. Adjusted relative risk and 20-year cumulative CHD incidence (first coronary hospitalization or death) from age 55 to 74 years were calculated using Cox regression. Plasma apolipoproteins were assayed in 6295 randomly selected participants. There were 10,998 incident coronary events after mean follow up of 5.1 years. Within each BMI category (waist circumference; within each waist circumference category (waist circumference waist circumference ≥80 cm, with 1 in 8 (95% confidence interval 1 in 7 to 9) women developing CHD over the same period. Similar associations for apolipoprotein B to A1 ratio across adiposity categories were observed, particularly in non-obese women. Our conclusions were that both waist circumference and BMI are independently associated with incident CHD.

  14. Behavioral and Environmental Modification of the Genetic Influence on Body Mass Index: A Twin Study.

    Science.gov (United States)

    Horn, Erin E; Turkheimer, Eric; Strachan, Eric; Duncan, Glen E

    2015-07-01

    Body mass index (BMI) has a strong genetic basis, with a heritability around 0.75, but is also influenced by numerous behavioral and environmental factors. Aspects of the built environment (e.g., environmental walkability) are hypothesized to influence obesity by directly affecting BMI, by facilitating or inhibiting behaviors such as physical activity that are related to BMI, or by suppressing genetic tendencies toward higher BMI. The present study investigated relative influences of physical activity and walkability on variance in BMI using 5079 same-sex adult twin pairs (70 % monozygotic, 65 % female). High activity and walkability levels independently suppressed genetic variance in BMI. Estimating their effects simultaneously, however, suggested that the walkability effect was mediated by activity. The suppressive effect of activity on variance in BMI was present even with a tendency for low-BMI individuals to select into environments that require higher activity levels. Overall, our results point to community- or macro-level interventions that facilitate individual-level behaviors as a plausible approach to addressing the obesity epidemic among US adults.

  15. Measuring intra-household health inequality: explorations using the body mass index.

    Science.gov (United States)

    Sahn, David E; Younger, Stephen D

    2009-04-01

    This paper examines the relationship between level of well-being and inequality at inter-country and intra-household levels, using individuals' body mass index (BMI) rather than income as the indicator of well-being. BMI is useful for these purposes because (1) it is measured at the individual rather than household level; (2) it reflects command over food, but also non-food resources that affect health status like sanitary conditions and labour-saving technologies; (3) it accounts for caloric consumption relative to needs; (4) it is easily measured; and (5) any measurement error is likely to be random. We do not find any evidence to support the idea of an intra-household or inter-country Kuznets curve. We study the correlations between average household well-being, still measured by BMI, and differences in the BMIs of males and females, parents and children. Here, we find a tendency to protect the BMI of young children when living standards are very low. We find no clear patterns by gender. Perhaps the most striking finding in the paper is that about half of total BMI inequality at the country level is within households. Thus, standard measures of inequality that use household-level data may drastically understate true inequality.

  16. The Relationship between Native American Ancestry, Body Mass Index and Diabetes Risk among Mexican-Americans.

    Science.gov (United States)

    Hu, Hao; Huff, Chad D; Yamamura, Yuko; Wu, Xifeng; Strom, Sara S

    2015-01-01

    Higher body mass index (BMI) is a well-established risk factor for type 2 diabetes, and rates of obesity and type 2 diabetes are substantially higher among Mexican-Americans relative to non-Hispanic European Americans. Mexican-Americans are genetically diverse, with a highly variable distribution of Native American, European, and African ancestries. Here, we evaluate the role of Native American ancestry on BMI and diabetes risk in a well-defined Mexican-American population. Participants were randomly selected among individuals residing in the Houston area who are enrolled in the Mexican-American Cohort study. Using a custom Illumina GoldenGate Panel, we genotyped DNA from 4,662 cohort participants for 87 Ancestry-Informative Markers. On average, the participants were of 50.2% Native American ancestry, 42.7% European ancestry and 7.1% African ancestry. Using multivariate linear regression, we found BMI and Native American ancestry were inversely correlated; individuals with 80% Native American ancestry. Furthermore, we demonstrated an interaction between BMI and Native American ancestry in diabetes risk among women; Native American ancestry was a strong risk factor for diabetes only among overweight and obese women (OR = 1.190 for each 10% increase in Native American ancestry). This study offers new insight into the complex relationship between obesity, genetic ancestry, and their respective effects on diabetes risk. Findings from this study may improve the diabetes risk prediction among Mexican-American individuals thereby facilitating targeted prevention strategies.

  17. Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

    Directory of Open Access Journals (Sweden)

    Snježana Kaštelan

    2013-01-01

    Full Text Available The aim of the study was to investigate whether body mass index (BMI independently or in correlation with other risk factors is associated with diabetic retinopathy (DR progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy; n=296, group 2 (mild/moderate nonproliferative DR; n=118, and group 3 (severe/very severe NPDR or proliferative DR; n=131. Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50; P<0.01. We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.

  18. Impact of Missing Data for Body Mass Index in an Epidemiologic Study.

    Science.gov (United States)

    Razzaghi, Hilda; Tinker, Sarah C; Herring, Amy H; Howards, Penelope P; Waller, D Kim; Johnson, Candice Y

    2016-07-01

    Objective To assess the potential impact of missing data on body mass index (BMI) on the association between prepregnancy obesity and specific birth defects. Methods Data from the National Birth Defects Prevention Study (NBDPS) were analyzed. We assessed the factors associated with missing BMI data among mothers of infants without birth defects. Four analytic methods were then used to assess the impact of missing BMI data on the association between maternal prepregnancy obesity and three birth defects; spina bifida, gastroschisis, and cleft lip with/without cleft palate. The analytic methods were: (1) complete case analysis; (2) assignment of missing values to either obese or normal BMI; (3) multiple imputation; and (4) probabilistic sensitivity analysis. Logistic regression was used to estimate crude and adjusted odds ratios (aOR) and 95 % confidence intervals (CI). Results Of NBDPS control mothers 4.6 % were missing BMI data, and most of the missing values were attributable to missing height (~90 %). Missing BMI data was associated with birth outside of the US (aOR 8.6; 95 % CI 5.5, 13.4), interview in Spanish (aOR 2.4; 95 % CI 1.8, 3.2), Hispanic ethnicity (aOR 2.0; 95 % CI 1.2, 3.4), and missing BMI data can bias the magnitude of association, it does not appear likely to have impacted conclusions from a traditional complete case analysis of these data.

  19. [Factors associated with maternal body mass index in a group of pregnant teenagers, Medellin, Colombia].

    Science.gov (United States)

    Zapata-López, Natalia; Restrepo-Mesa, Sandra Lucía

    2013-05-01

    The purpose of the study was to assess the influence of socioeconomic risk factors, food security, health, and key anthropometric measures on body mass index (BMI) in a group of teenagers from Medellin, Colombia, in the third trimester of pregnancy. A cross-sectional study was carried out with 294 pregnant teenagers. Data were analyzed using bivariate and multivariate logistic regression analysis. Pregnant teenagers whose families earned less than one minimum wage were more likely to have low weight (OR = 5.8; 95%CI: 1.97-16.8). Age under 15 years was associated with a fourfold increase in low gestational weight. Arm and calf circumference greater than 24cm and 32cm, respectively, were associated with a 94% reduction in low gestational weight (arm circumference: OR = 0.1; 95%CI: 0.0-0.2) (calf circumference: OR = 0.1; 95%CI: 0.0-0.2). In conclusion, low income and young age were associated with low gestational weight. Arm and calf circumference correlated with maternal weight.

  20. Role of Educational Status in Explaining the Association between Body Mass Index and Cognitive Function.

    Science.gov (United States)

    Ho, Yi-Te; Kao, Tung-Wei; Peng, Tao-Chun; Liaw, Fang-Yih; Yang, Hui-Fang; Sun, Yu-Shan; Chang, Yaw-Wen; Chen, Wei-Liang

    2016-02-01

    Preserving physical and cognitive function becomes an important issue as people age. A growing number of studies have found that the correlation between body mass index (BMI) and cognitive function changes in different age groups. It is obvious that higher educational status is linked to higher cognitive function in terms of numerous risk factors that influence cognitive function. This study aimed to investigate the interplay between obesity and cognitive function categorized by different educational status.This study included 5021 participants aged 20 to 59 years who completed 3 neurocognitive function tests, including a simple reaction time test (SRTT), a symbol digit substitution test (SDST), and a serial digit learning test (SDLT) as reported in the National Health and Nutrition Examination Survey (NHANES) III database. The associations between neurocognitive function and BMI were analyzed using multivariate linear regression while controlling for confounders.After adjusting for pertinent covariates in mode 3, the β coefficients in the female participants with more than 12 years of education (interpreted as change of 3 neurocognitive function tests for each increment in BMI) comparing obesity groups to those with normal BMI were 16.2 (P education and female participants with fewer than 12 years of education demonstrated increased impairment as their BMI increased. However, this association was not significant after adjustments.Obese individuals had worse neurocognitive function than those of normal weight or overweight, especially in women with a high educational level.

  1. Late Sleeping Affects Sleep Duration and Body Mass Index in Adolescents

    Directory of Open Access Journals (Sweden)

    Rajesh G.Kathrotia1,

    2010-03-01

    Full Text Available During adolescence, there is a tendency to sleep late andsleep less because of altered psychosocial and life-stylechanges. Recent studies have demonstrated the link betweensleeping less and gaining weight in children, adolescents, andadults. We studied the effect of late sleeping and sleepingless on body mass index (BMI in medical college freshmen.All participants were adolescents (104 male and 38 femaleadolescents, mean age 17.77±0.79 years. After obtaininginformed consent, they filled out a questionnaire about theirsleeping habits. Height and weight were measured after abrief history taking and clinical examination. BMI increasedsignificantly with decrease in total sleep duration and withdelayed bedtime. Late sleeping individuals (after midnighthad significantly less sleep duration (6.78 hours v 7.74 hours,P<0.001, more day time sleepiness (85.2% v 69.3%,P=0.033 and more gap between dinner time and going tosleep (234.16 min v 155.45 min, P<0.001. Increased BMI inlate sleepers may be explained by low physical activity duringthe day caused by excess sleepiness and increased calorieintake with a gap of 5-6 hours between dinner and sleep.Sleep habits of late sleeping and sleeping less contribute toincrease BMI in adolescents.

  2. Association between body mass index and erosive esophagitis: A meta-analysis

    Institute of Scientific and Technical Information of China (English)

    Nan Cai; Guo-Zhong Ji; Zhi-Ning Fan; Yan-Feng Wu; Fa-Ming Zhang; Zhi-Fei Zhao; Wei Xu; Zheng Liu

    2012-01-01

    AIM:To conduct a meta-analysis to estimate the determinants of the association between erosive esophagitis (EE) and body mass index (BMI).METHODS:We identified the studies using PubMed.Studies were selected for analysis based on certain inclusion and exclusion criteria.Data were extracted from each study on the basis of predefined items.Metaanalyses were performed to verify the risk factors,such as obesity and gender.RESULTS:Twenty-one studies were included in this systematic review.These studies demonstrated an association between increasing BMI and the presence of EE [95% confidence interval (CI):1.35-1.88,overweight,odds ratio (OR) =1.60,P value homogeneity 0.003,95% CI:1.65-2.55,obese,OR =2.05,P <0.01].The heterogeneity disappeared by stratifying for gender.No publication bias was observed in this metaanalysis by the Egger method.CONCLUSION:This analysis demonstrates a positive association between BMI and the presence of EE,especially in males.The risk seems to progressively increase with increasing weight.

  3. Body mass index and depressive symptoms in older adults: a cross-lagged panel analysis.

    Directory of Open Access Journals (Sweden)

    Jinseok Kim

    Full Text Available There are conflicting results about the association between body mass index (BMI and depressive symptoms in older adults. The present study examined the relationship between weight and depressive symptoms over time in older adults in South Korea.We used data from three waves of the Korean Longitudinal Study of Aging and ran a series of cross-lagged panel models to test the reciprocal relationship between depressive symptoms and obesity in older Korean adults. We assumed a temporally stable relationship between depressive symptoms and obesity and, thus imposed equality constraints over time.After controlling for the effect of depressive symptoms two years prior, underweight older adults had a higher depressive symptom score than those of normal weight. When controlling for obesity status from two years prior, older adults with higher levels of depressive symptoms were more likely to be underweight and less likely to be overweight than normal weight. The same patterns were observed in data from 2006 to 2008 and from 2008 to 2010.These results show that there is a correlation between depressive symptoms and weight status. In middle-aged and elderly Asian populations, depression can lead to weight loss rather than obesity, and underweight may develop depressive symptoms.

  4. Association of peripheral inflammation with body mass index and depressive relapse in bipolar disorder.

    Science.gov (United States)

    Bond, David J; Andreazza, Ana C; Hughes, John; Dhanoa, Taj; Torres, Ivan J; Kozicky, Jan-Marie; Young, L Trevor; Lam, Raymond W; Yatham, Lakshmi N

    2016-03-01

    Bipolar I disorder (BD) is associated with increased inflammation, which is believed to be central to disease etiology and progression. However, BD patients also have high rates of obesity, itself an inflammatory condition, and the relative contributions of mood illness and obesity to inflammation are unknown. Moreover, the impact of inflammation on clinical illness course has not been well studied. The objectives of this analysis were therefore: (1) to determine if inflammation in BD is mood illness-related or secondary to elevated body mass index (BMI), and (2) to investigate the impact of inflammation on prospectively-ascertained relapse into depression and mania. We measured the serum levels of 7 inflammatory cytokines (TNF-α, γ-interferon, monocyte chemoattractant protein-1 [MCP-1], IL-1α, IL-2, IL-6, and IL-8) and 2 anti-inflammatory cytokines (IL-4 and IL-10) in 52 early-stage BD patients and 22 healthy subjects. In patients, a multivariate multiple regression model that controlled for psychotropic medications found that higher BMI, but not recent (past-6-month) mood episodes, predicted greater inflammatory cytokines (p=.05). Healthy subjects also had a BMI-related increase in inflammatory cytokines (pinflammation in BD, more so even than recent mood illness severity. They also point to inflammation as an important predictor of illness course, particularly depressive relapse.

  5. Body mass index and risk of subtypes of head-neck cancer: the Netherlands Cohort Study

    Science.gov (United States)

    Maasland, Denise H. E.; Brandt, Piet A. van den; Kremer, Bernd; Schouten, Leo J.

    2015-01-01

    Low body mass index (BMI) has been associated with risk of head-neck cancer (HNC), but prospective data are scarce. We investigated the association between BMI, BMI at age 20 years and change in BMI during adulthood with risk of HNC and HNC subtypes. 120,852 participants completed a questionnaire on diet and other cancer risk factors, including anthropometric measurements, at baseline in 1986. After 20.3 years of follow-up, 411 HNC (127 oral cavity cancer (OCC), 84 oro-/hypopharyngeal cancer (OHPC), and 197 laryngeal cancer (LC)) cases and 3,980 subcohort members were available for case-cohort analysis using Cox proportional hazards models. BMI at baseline was inversely associated with risk of HNC overall, with a multivariate rate ratio of 3.31 (95% CI 1.40–7.82) for subjects with a BMI < 18.5 kg/m2, compared to participants with a BMI of 18.5 to 25 kg/m2. Among HNC subtypes, this association was strongest for OCC and OHPC. The association between BMI at age 20 and HNC risk appeared to be positive. In this large prospective cohort study, we found an inverse association between BMI at baseline and HNC risk. For BMI at age 20, however, a positive rather than inverse association was found. PMID:26634678

  6. Achilles tendon and plantar fascia in recently diagnosed type II diabetes: role of body mass index.

    Science.gov (United States)

    Abate, Michele; Schiavone, Cosima; Di Carlo, Luigi; Salini, Vincenzo

    2012-07-01

    Previous research has shown that plantar fascia and Achilles tendon thickness is increased in diabetes. The aims of present study were to assess whether tendon changes can occur in the early stages of the disease and to evaluate the extent of the influence of body mass index (BMI). The study population included 51 recent-onset type II diabetic subjects, who were free from diabetic complications, divided according to BMI into three groups (normal weight, overweight, and obese). Eighteen non-diabetic, normal-weight subjects served as controls. Plantar fascia and Achilles tendon thickness was measured by means of sonography. The groups were well balanced for age and sex. In all the diabetic subjects, plantar fascia and Achilles tendon thickness was increased compared to the controls (p fascia thickness and BMI values (r = 0.749, p fascia and Achilles tendon thickness is increased in the early stages of type II diabetes and that BMI is related more to plantar fascia than Achilles tendon thickness. Further longitudinal studies are needed to evaluate whether these early changes can overload the metatarsal heads and increase the stress transmitted to plantar soft tissues, thus representing an additional risk factor for foot ulcer development.

  7. Maternal Body Mass Index and Risk of Autism Spectrum Disorders in Offspring: A Meta-analysis

    Science.gov (United States)

    Wang, Ying; Tang, Shiming; Xu, Shunsheng; Weng, Shenhong; Liu, Zhongchun

    2016-01-01

    Controversial results of the association between maternal body mass index (BMI) and risk of autism spectrum disorder (ASD) in offspring were reported among several studies. This meta-analysis was conducted to estimate the overall association between maternal BMI and risk of ASD in offspring. PubMed, EMBASE, Web of Science, and the Cochrane Library were searched until January 2016. Cohort and case-control studies addressing the association between maternal BMI and risk of ASD in offspring were included. We used random-effect models to estimate the summary relative risks (RRs), we also performed a dose-response meta-analysis to estimate the trend from the correlated log RR estimates across levels of BMI quantitatively. Totally, 6 cohort studies and 1 case-control study involving 8,403 cases and 509,167 participants were included for analysis. The summary RR (95% confidence interval) for ASD in offspring in relation to maternal underweight, overweight, and obesity vs. normal weight during pre-pregnancy or pregnancy, was 1.07 (0.93, 1.23), 1.28 (1.19, 1.36) and 1.36 (1.03, 1.78), respectively. A linear dose-response relationship was found, with a pooled RR of 1.16 (1.01, 1.33) for each 5 kg/m2. increment in maternal BMI. The present study suggests that excessive maternal BMI is associated with increased ASD risk in offspring. PMID:27687989

  8. Mammography dose in relation to body mass index, race, and menopausal status

    Energy Technology Data Exchange (ETDEWEB)

    Schubauer-Berigan, M.K.; Frey, G.D.; Baron, L.; Hoel, D.G

    2002-07-01

    Mammography dose increases with compressed breast thickness (CBT), but few studies have examined other correlates of dose. The purpose of this study was to evaluate the relation between factors such as race, age, body mass index (BMI), CBT, and menopausal status and mammography screening dose, measured for 509 women in a US population. A multiple linear regression model was developed for dose, based on consideration of these factors as well as examination characteristics. BMI and number of films during examination were positively related to dose. After adjusting for these factors, high CBT also leads to higher dose. Whites receive lower doses than black women, but differences are slight after controlling for the effects of CBT and BMI, which were significantly higher among black women. Pre-menopausal women receive higher doses, after adjusting for all other factors, than post-menopausal women. Jointly, these factors account for approximately 75% to 80% of the variability in dose among this study population. Because rates of overweight are increasing in the US, average doses from mammography may be increasing as well. (author)

  9. The relationship between internet addiction and body mass index in Turkish adolescents.

    Science.gov (United States)

    Canan, Fatih; Yildirim, Osman; Ustunel, Tuba Yildirim; Sinani, Gjergji; Kaleli, Arzu Hisarvant; Gunes, Cemalettin; Ataoglu, Ahmet

    2014-01-01

    The purpose of this study was to investigate Internet use patterns and Internet addiction among adolescents and to examine the correlation between Internet addiction and eating attitudes and body mass index (BMI). The study was conducted among 1,938 students, aged between 14 and 18 years. The Internet Addiction Test (IAT), the Eating Attitudes Test (EAT), and a sociodemographic query form were used to collect data. According to the IAT, 12.4% of the study sample met the criteria for Internet addiction. A significant positive correlation between BMI and the IAT (r=0.307; paddiction (3.8%) and 90 with average Internet use (5.3%) were found to have a possible eating disorder (p>0.05). No relationship was found between the EAT and the IAT and duration of weekly Internet use. Linear regression analysis revealed a significant independent association of the IAT with BMI (r=0.235; paddiction and BMI. Further studies are needed to describe the causality of this association.

  10. Lack of Associations between Body Mass Index and Clinical Outcomes in Patients with Papillary Thyroid Carcinoma

    Directory of Open Access Journals (Sweden)

    Hyemi Kwon

    2015-09-01

    Full Text Available BackgroundObesity is associated with aggressive pathological features and poor clinical outcomes in breast and prostate cancers. In papillary thyroid carcinoma (PTC, these relationships remain still controversial. This study aimed to evaluate the associations between body mass index (BMI and the clinical outcomes of patients with PTC.MethodsThis retrospective study included 1,189 patients who underwent total thyroidectomy for PTCs equal to or larger than 1 cm in size. Clinical outcomes were evaluated and compared based on the BMI quartiles.ResultsThere were no significant associations between BMI quartiles and primary tumor size, extrathyroidal invasion, cervical lymph node metastasis, or distant metastasis. However, an increase in mean age was associated with an increased BMI (P for trend <0.001. Multifocality and advanced tumor-node-metastasis (TNM stage (stage III or IV were significantly associated with increases of BMI (P for trend 0.02 and <0.001, respectively. However, these associations of multifocality and advanced TNM stage with BMI were not significant in multivariate analyses adjusted for age and gender. Moreover, there were no differences in recurrence-free survivals according to BMI quartiles (P=0.26.ConclusionIn the present study, BMI was not associated with the aggressive clinicopathological features or recurrence-free survivals in patients with PTC.

  11. A thrifty variant in CREBRF strongly influences body mass index in Samoans

    Science.gov (United States)

    Kershaw, Erin E; Cheng, Hong; Buhule, Olive D; Lin, Jerome; Reupena, Muagututi‘a Sefuiva; Viali, Satupa‘itea; Tuitele, John; Naseri, Take; Urban, Zsolt; Deka, Ranjan; Weeks, Daniel E; McGarvey, Stephen T

    2016-01-01

    Samoans are a unique founder population with a high prevalence of obesity1–3, making them well suited for identifying new genetic contributors to obesity4. We conducted a genome-wide association study (GWAS) in 3,072 Samoans, discovered a variant, rs12513649, strongly associated with body mass index (BMI) (P = 5.3 × 10−14), and replicated the association in 2,102 additional Samoans (P = 1.2 × 10−9). Targeted sequencing identified a strongly associated missense variant, rs373863828 (p.Arg457Gln), in CREBRF (meta P = 1.4 × 10−20). Although this variant is extremely rare in other populations, it is common in Samoans (frequency of 0.259), with an effect size much larger than that of any other known common BMI risk variant (1.36–1.45 kg/m2 per copy of the risk-associated allele). In comparison to wild-type CREBRF, the Arg457Gln variant when overexpressed selectively decreased energy use and increased fat storage in an adipocyte cell model. These data, in combination with evidence of positive selection of the allele encoding p.Arg457Gln, support a ‘thrifty’ variant hypothesis as a factor in human obesity. PMID:27455349

  12. Body mass index is associated with biological CSF markers of core brain pathology of Alzheimer's disease.

    Science.gov (United States)

    Ewers, Michael; Schmitz, Susanne; Hansson, Oskar; Walsh, Cathal; Fitzpatrick, Annette; Bennett, David; Minthon, Lennart; Trojanowski, John Q; Shaw, Leslie M; Faluyi, Yetunde O; Vellas, Bruno; Dubois, Bruno; Blennow, Kaj; Buerger, Katharina; Teipel, Stefan J; Weiner, Michael; Hampel, Harald

    2012-08-01

    Weight changes are common in aging and Alzheimer's disease (AD) and postmortem findings suggest a relation between lower body mass index (BMI) and increased AD brain pathology. In the current multicenter study, we tested whether lower BMI is associated with higher core AD brain pathology as assessed by cerebrospinal fluid (CSF)-based biological markers of AD in 751 living subjects: 308 patients with AD, 296 subjects with amnestic mild cognitive impairment (MCI), and 147 elderly healthy controls (HC). Based upon a priori cutoff values on CSF concentration of total tau and beta-amyloid (Aβ(1-42)), subjects were binarized into a group with abnormal CSF biomarker signature (CSF+) and those without (CSF-). Results showed that BMI was significantly lower in the CSF+ when compared with the CSF- group (F = 27.7, df = 746, p < 0.001). There was no interaction between CSF signature and diagnosis or apolipoprotein E (ApoE) genotype. In conclusion, lower BMI is indicative of AD pathology as assessed with CSF-based biomarkers in demented and nondemented elderly subjects.

  13. Density and Proximity of Fast Food Restaurants and Body Mass Index Among African Americans

    Science.gov (United States)

    Regan, Seann D.; Nguyen, Nga; Cromley, Ellen K.; Strong, Larkin L.; Wetter, David W.; McNeill, Lorna H.

    2014-01-01

    Objectives. The purpose of this study was to address current gaps in the literature by examining the associations of fast food restaurant (FFR) density around the home and FFR proximity to the home, respectively, with body mass index (BMI) among a large sample of African American adults from Houston, Texas. Methods. We used generalized linear models with generalized estimating equations to examine associations of FFR density at 0.5-, 1-, 2-, and 5-mile road network buffers around the home with BMI and associations of the closest FFR to the home with BMI. All models were adjusted for a range of individual-level covariates and neighborhood socioeconomic status. We additionally investigated the moderating effects of household income on these relations. Data were collected from December 2008 to July 2009. Results. FFR density was not associated with BMI in the main analyses. However, FFR density at 0.5, 1, and 2 miles was positively associated with BMI among participants with lower incomes (P ≤ .025). Closer FFR proximity was associated with higher BMI among all participants (P < .001), with stronger associations emerging among those of lower income (P < .013) relative to higher income (P < .014). Conclusions. Additional research with more diverse African American samples is needed, but results supported the potential for the fast food environment to affect BMI among African Americans, particularly among those of lower economic means. PMID:23678913

  14. Genetic variations in the serotoninergic system contribute to body-mass index in Chinese adolescents.

    Directory of Open Access Journals (Sweden)

    Chunhui Chen

    Full Text Available OBJECTIVE: Obesity has become a worldwide health problem in the past decades. Human and animal studies have implicated serotonin in appetite regulation, and behavior genetic studies have shown that body mass index (BMI has a strong genetic component. However, the roles of genes related to the serotoninergic (5-hydroxytryptamine,5-HT system in obesity/BMI are not well understood, especially in Chinese subjects. SUBJECTS AND DESIGN: With a sample of 478 healthy Chinese volunteers, this study investigated the relation between BMI and genetic variations of the serotoninergic system as characterized by 136 representative polymorphisms. We used a system-level approach to identify SNPs associated with BMI, then estimated their overall contribution to BMI by multiple regression and verified it by permutation. RESULTS: We identified 12 SNPs that made statistically significant contributions to BMI. After controlling for gender and age, four of these SNPs accounted for 7.7% additional variance of BMI. Permutation analysis showed that the probability of obtaining these findings by chance was low (p = 0.015, permuted for 1000 times. CONCLUSION: These results showed that genetic variations in the serotoninergic system made a moderate contribution to individual differences in BMI among a healthy Chinese sample, suggesting that a similar approach can be used to study obesity.

  15. Physical activity, body mass index, and brain atrophy in Alzheimer's disease.

    Science.gov (United States)

    Boyle, Christina P; Raji, Cyrus A; Erickson, Kirk I; Lopez, Oscar L; Becker, James T; Gach, H Michael; Longstreth, W T; Teverovskiy, Leonid; Kuller, Lewis H; Carmichael, Owen T; Thompson, Paul M

    2015-01-01

    The purpose of this study was to use a novel imaging biomarker to assess associations between physical activity (PA), body mass index (BMI), and brain structure in normal aging, mild cognitive impairment, and Alzheimer's dementia. We studied 963 participants (mean age: 74.1 ± 4.4 years) from the multisite Cardiovascular Health Study including healthy controls (n = 724), Alzheimer's dementia patients (n = 104), and people with mild cognitive impairment (n = 135). Volumetric brain images were processed using tensor-based morphometry to analyze regional brain volumes. We regressed the local brain tissue volume on reported PA and computed BMI, and performed conjunction analyses using both variables. Covariates included age, sex, and study site. PA was independently associated with greater whole brain and regional brain volumes and reduced ventricular dilation. People with higher BMI had lower whole brain and regional brain volumes. A PA-BMI conjunction analysis showed brain preservation with PA and volume loss with increased BMI in overlapping brain regions. In one of the largest voxel-based cross-sectional studies to date, PA and lower BMI may be beneficial to the brain across the spectrum of aging and neurodegeneration.

  16. Body mass index and risk of subtypes of head-neck cancer: the Netherlands Cohort Study.

    Science.gov (United States)

    Maasland, Denise H E; van den Brandt, Piet A; Kremer, Bernd; Schouten, Leo J

    2015-12-04

    Low body mass index (BMI) has been associated with risk of head-neck cancer (HNC), but prospective data are scarce. We investigated the association between BMI, BMI at age 20 years and change in BMI during adulthood with risk of HNC and HNC subtypes. 120,852 participants completed a questionnaire on diet and other cancer risk factors, including anthropometric measurements, at baseline in 1986. After 20.3 years of follow-up, 411 HNC (127 oral cavity cancer (OCC), 84 oro-/hypopharyngeal cancer (OHPC), and 197 laryngeal cancer (LC)) cases and 3,980 subcohort members were available for case-cohort analysis using Cox proportional hazards models. BMI at baseline was inversely associated with risk of HNC overall, with a multivariate rate ratio of 3.31 (95% CI 1.40-7.82) for subjects with a BMI risk appeared to be positive. In this large prospective cohort study, we found an inverse association between BMI at baseline and HNC risk. For BMI at age 20, however, a positive rather than inverse association was found.

  17. Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

    Science.gov (United States)

    Kaštelan, Snježana; Tomić, Martina; Gverović Antunica, Antonela; Ljubić, Spomenka; Salopek Rabatić, Jasminka; Karabatić, Mirela

    2013-01-01

    The aim of the study was to investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy; n = 296), group 2 (mild/moderate nonproliferative DR; n = 118), and group 3 (severe/very severe NPDR or proliferative DR; n = 131). Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50; P < 0.01). We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries. PMID:24347825

  18. Pregnancy outcome according to pre-pregnancy body mass index and gestational weight gain

    DEFF Research Database (Denmark)

    Gesche, Joanna; Nilas, Lisbeth

    2015-01-01

    OBJECTIVE: To assess birth weight in relation to gestational weight gain (GWG) among women who were and were not obese before pregnancy. METHODS: For a retrospective cohort study, data were obtained for women with a pre-pregnancy body mass index (BMI, calculated as weight in kilograms divided......). RESULTS: A total of 231 obese women were included in analyses. In non-obese and obese women, fetal weight was highest when GWG was above the recommended amount. Among women who had a GWG in line with the recommendations, mean birth weight was higher among those with a pre-pregnancy BMI of 35.0-39.9 (3758...... by the square of height in meters) of at least 30 who had a singleton delivery at a center in Denmark in 2010-2011. Data were also obtained for 455 non-obese women (BMI 20.0-24.9). GWG was expressed in absolute terms and relative to published recommendations (11-16kg in non-obese women; 5-9kg in obese women...

  19. Mother and Infant Body Mass Index, Breast Milk Leptin and Their Serum Leptin Values

    Science.gov (United States)

    Savino, Francesco; Sardo, Allegra; Rossi, Lorenza; Benetti, Stefania; Savino, Andrea; Silvestro, Leandra

    2016-01-01

    Purpose: This study investigates correlations between mother and infant Body Mass Index (BMI), their serum leptin values and breast milk leptin concentration in early infancy. Subjects and Methods: We determined serum leptin values in 58 healthy infants and leptin values in their mothers’ breast milk, using radioimmunoassay (RIA). Infant and maternal anthropometrics were measured. Results: Median leptin concentration was 3.9 ng/mL (interquartile range (IQR): 2.75) in infant serum, 4.27 ng/mL (IQR: 5.62) in maternal serum and 0.89 ng/mL (IQR: 1.32) in breast milk. Median maternal BMI and weight were 24 kg/m2 (IQR: 4.41) and 64 kg (IQR: 15). Median infant BMI was 15.80 kg/cm2 (IQR: 4.02), while average weight was 5.130 kg (IQR: 1.627). Infants serum leptin values positively correlated with infants’ BMI (p = 0.001; r = 0.213) and breast milk leptin (p = 0.03; r = 0.285). Maternal serum leptin values positively correlated with maternal BMI (p = 0.000, r = 0.449) and breast milk leptin ones (p = 0.026; r = 0.322). Conclusion: Breast milk leptin and maternal BMI could influence infant serum leptin values. Further studies are needed to better elucidate the role of genetics and environment on infant leptin production and risk of obesity later in life. PMID:27338468

  20. Mother and Infant Body Mass Index, Breast Milk Leptin and Their Serum Leptin Values

    Directory of Open Access Journals (Sweden)

    Francesco Savino

    2016-06-01

    Full Text Available Purpose: This study investigates correlations between mother and infant Body Mass Index (BMI, their serum leptin values and breast milk leptin concentration in early infancy. Subjects and Methods: We determined serum leptin values in 58 healthy infants and leptin values in their mothers’ breast milk, using radioimmunoassay (RIA. Infant and maternal anthropometrics were measured. Results: Median leptin concentration was 3.9 ng/mL (interquartile range (IQR: 2.75 in infant serum, 4.27 ng/mL (IQR: 5.62 in maternal serum and 0.89 ng/mL (IQR: 1.32 in breast milk. Median maternal BMI and weight were 24 kg/m2 (IQR: 4.41 and 64 kg (IQR: 15. Median infant BMI was 15.80 kg/cm2 (IQR: 4.02, while average weight was 5.130 kg (IQR: 1.627. Infants serum leptin values positively correlated with infants’ BMI (p = 0.001; r = 0.213 and breast milk leptin (p = 0.03; r = 0.285. Maternal serum leptin values positively correlated with maternal BMI (p = 0.000, r = 0.449 and breast milk leptin ones (p = 0.026; r = 0.322. Conclusion: Breast milk leptin and maternal BMI could influence infant serum leptin values. Further studies are needed to better elucidate the role of genetics and environment on infant leptin production and risk of obesity later in life.

  1. Gender-Specific Differences in the Association of Adiponectin Gene Polymorphisms with Body Mass Index

    Science.gov (United States)

    Tabatabaei-Malazy, Ozra; Hasani-Ranjbar, Shirin; Amoli, Mahsa M.; Heshmat, Ramin; Sajadi, Mohammadali; Derakhshan, Reza; Amiri, Parvin; Namakchian, Mahsa; Rezazadeh, Ebrahim; Tavakkoly-Bazzaz, Javad; Keshtkar, Abbasali; Larijani, Bagher

    2010-01-01

    OBJECTIVE: Adiponectin gene polymorphisms are associated with obesity, metabolic syndrome and type 2 diabetes (T2D). The study evaluated possible associations of +45T/G and -11391G/A adiponectin gene polymorphisms with body mass index (BMI), waist circumferences (WC), and blood pressure in diabetic and non-diabetic Iranians. METHODS: This cross-sectional study involved two groups of subjects: 243 diabetic patients and 173 non-diabetic subjects recruited from Rafsanjan city in the south-east of Iran. RESULTS: No significant association was found between +45T/G and -11391G/A adiponectin gene polymorphisms and systolic or diastolic blood pressure. However, male carriers of the TT genotype of +45T/G had a significantly higher mean BMI than male GG homozygotes (p = 0.018). Also, male carriers of the GG genotype of -11391G/A had significantly higher mean BMI than male GA or AA homozygotes (p = 0.041). Female carriers of the GG genotype of -11391G/A had significantly higher mean WC than female GA or AA homozygotes (p = 0.038). CONCLUSIONS: We observed a significantly higher BMI in women, and GA or AA carriers of -11391G/A polymorphism. Also, there was a significantly lower WC in females and GG carriers of +45T/G. These results point to a gender-specific impact of the studied genotypes on BMI and WC. PMID:21409316

  2. A Comprehensive Analysis of Body Mass Index Effect on in Vitro Fertilization Outcomes.

    Science.gov (United States)

    Sarais, Veronica; Pagliardini, Luca; Rebonato, Giorgia; Papaleo, Enrico; Candiani, Massimo; Viganò, Paola

    2016-02-23

    The effect of a raised body mass index (BMI) on the outcome of assisted reproduction technology (ART) still represents a controversial issue. Even less clear is whether BMI acts with a potential detrimental effect on IVF outcomes via a deleterious effect on innate quality of oocytes or on the environmental milieu within the uterus. With the aim to better understand the mechanisms underlying the potential deleterious effect of an increased BMI on IVF outcomes, we have evaluated the effects of female BMI on number and quality of retrieved oocytes, fertilization rate, embryo score and incidences of ongoing pregnancy and live births among couples undergoing IVF in an Italian population. Data from 1602 women who underwent their first IVF cycle were retrospectively analyzed. A significantly reduced percentage of mature oocytes when comparing obese (BMI ≥ 30 kg/m²) and normal-weight patients (BMI = 18.50-24.99 kg/m²) was found. After adjusting for maternal age and other confounders, odds for ongoing pregnancy rate showed no differences across different BMI categories. However, a significant increased odds ratio (OR) could be observed for miscarriage rate in patients with BMI ≥ 25 (OR = 2.5; p = 0.04). These results should be taken into account in order to define optimal strategies for overweight and obese patients referring to ART procedures.

  3. Does Body Mass Index Influence Behavioral Regulations, Dispositional Flow and Social Physique Anxiety in Exercise Setting?

    Science.gov (United States)

    Ersöz, Gözde; Altiparmak, Ersin; Aşçı, F Hülya

    2016-06-01

    The purpose of this study was to examine differences in behavioral regulations, dispositional flow, social physique anxiety of exercisers in terms of body mass index (BMI). 782 university students participated in this study. Dispositional Flow State Scale-2, Behavioral Regulations in Exercise Questionnaire-2, Social Physique Anxiety Scale and Physical Activity Stages of Change Questionnaire were administered to participants. After controlling for gender, analysis indicated significant differences in behavioral regulations, dispositional flow and social physique anxiety of exercise participants with regards to BMI. In summary, the findings demonstrate that normal weighted participants exercise for internal reasons while underweighted participants are amotivated for exercise participation. Additionally, participants who are underweight had higher dispositional flow and lower social physique anxiety scores than other BMI classification. Key pointsNormal weighted participants exercise for internal reasons.Underweighted participants are amotivated for exercise participation.Underweighted participants had higher dispositional flow.Underweighted participants have lower social physique anxiety scores than normal weighted, overweight and obese participants.

  4. Does body mass index matter while selecting the flap type for pharyngeal reconstructions?

    Science.gov (United States)

    Calli, Caglar; Teknos, Theodoros N; Agrawal, Amit; Schuller, David E; Ozer, Enver; Songu, Murat

    2014-05-01

    The aim of our study was to investigate the effect of patient-related factors, such as the body mass index (BMI) and tumor size, in selecting the flap type for the reconstruction of pharyngeal defects. This retrospective review included 182 patients with pharyngeal defect reconstructions with free and pedicled flaps at the Ohio State University from January 2005 to December 2008. We conducted a retrospective comparison of variety of different flap reconstruction techniques. We compared different flap reconstruction with BMI and tumor size without functional outcome such as swallowing and speech data. Although there was no statistically significant correlation (P > 0.05) when comparing the free flaps with pedicled flaps according to the BMI and tumor size, there was an obvious tendency to prefer radial forearm free flap over anterolateral thigh free flap in patients who are overweight and those with obesity with a ratio of 32:3. In the same group of patients, a similar tendency was observed to prefer fibular free flap over iliac crest free flap with a ratio of 14:5, whereas the ratio was becoming 3:5 in favor of iliac crest free flap over fibular free flap in patients with BMI of 24 or lower. Despite the fact that surgeons' experience with a certain flap type is one of the most important factors while determining which flap to reconstruct, BMI might have a significant impact while selecting the free flap types for the reconstruction of pharyngeal defects.

  5. Longitudinal Study of Body Mass Index in Young Males and the Transition to Fatherhood

    Science.gov (United States)

    Garfield, Craig F.; Duncan, Greg; Gutina, Anna; Rutsohn, Joshua; McDade, Thomas W.; Adam, Emma K.; Coley, Rebekah Levine; Chase-Lansdale, P. Lindsay

    2017-01-01

    Despite a growing understanding that the social determinants of health have an impact on body mass index (BMI), the role of fatherhood on young men’s BMI is understudied. This longitudinal study examines BMI in young men over time as they transition from adolescence into fatherhood in a nationally representative sample. Data from all four waves of the National Longitudinal Study of Adolescent Health supported a 20-year longitudinal analysis of 10,253 men beginning in 1994. A “fatherhood-year” data set was created and changes in BMI were examined based on fatherhood status (nonfather, nonresident father, resident father), fatherhood years, and covariates. Though age is positively associated with BMI over all years for all men, comparing nonresident and resident fathers with nonfathers reveals different trajectories based on fatherhood status. Entrance into fatherhood is associated with an increase in BMI trajectory for both nonresident and resident fathers, while nonfathers exhibit a decrease over the same period. In this longitudinal, population-based study, fatherhood and residence status play a role in men’s BMI. Designing obesity prevention interventions for young men that begin in adolescence and carry through young adulthood should target the distinctive needs of these populations, potentially improving their health outcomes. PMID:26198724

  6. Multislice CT angiography in aortic stent grafting: Relationship between image noise and body mass index

    Energy Technology Data Exchange (ETDEWEB)

    Sun Zhonghua [Discipline of Medical Imaging, Department of Imaging and Applied Physics, Curtin University of Technology, GPO Box U1987, Perth, Western Australia 6845 (Australia)]. E-mail: z.sun@curtin.edu.au

    2007-03-15

    Purpose: To investigate the correlation between image noise and body mass index (BMI) in multislice CT angiography (MSCT) for patients with abdominal aortic aneurysm (AAA) treated with endovascular stent grafts. Materials and methods: Seventeen patients who underwent MSCT following endovascular repair of AAA were included in the study. Image noise (standard deviation of the CT attenuation: S.D.) and signal to noise ratio (SNR) were plotted against BMI to demonstrate the correlation using a linear regression method. Image quality of 3D reconstructions was correlated to the SNR and BMI. Results: The r-value of linear regression between S.D. and BMI was 0.578 (p < 0.05), 0.835 and 0.802 (p < 0.001), respectively, at the level of renal artery, aortic aneurysm and common iliac artery. The r-value of linear regression between SNR and BMI was 0.332, 0.516 and 0.552 (p < 0.05), respectively, at above three levels. Image quality of 3D reconstructions was compromised in five patients and diagnosis was affected in two patients with BMI more than 30. Conclusion: A significant correlation was observed between image noise and BMI in MSCT angiography of endovascular repair of AAA. Our findings are valuable for optimisation of MSCT angiography scanning protocols and reduction of radiation dose in MSCT examinations.

  7. Impulsivity as a moderator of the associations between child maltreatment types and body mass index.

    Science.gov (United States)

    Brown, Shaquanna; Mitchell, Tarrah B; Fite, Paula J; Bortolato, Marco

    2017-03-02

    Child maltreatment has emerged as an important risk factor for adult obesity (Danese & Tan, 2014; Hemmingsson et al., 2014). However, there is a need for research delineating the factors that play a role in this association. Impulsivity has been shown to be associated with both child maltreatment (Brodsky et al., 2001) and body mass index (BMI; Cortese et al., 2008; Thamotharan et al., 2013). Further, given previous research showing that adverse events interact with impulsivity to predict hazardous drinking behaviors (Fox et al., 2010), there is reason to hypothesize that child maltreatment might interact with impulsivity to predict other adverse health outcomes, such as elevated BMI. Accordingly, the current study examined whether impulsivity moderated the association between child maltreatment types (i.e., physical abuse, physical neglect, sexual abuse, emotional abuse, and emotional neglect) and BMI. The sample was comprised of 500 undergraduate students (49.6% male) between the ages of 18 and 25 years. Regression analyses suggested that maltreatment types and impulsivity were not uniquely associated with BMI. However, impulsivity moderated the association between childhood sexual abuse and adult BMI, such that BMI was highest at high levels of both sexual abuse and impulsivity. Impulsivity did not moderate the associations between the other child maltreatment types and BMI. Limitations, future directions, and clinical implications of this research are discussed.

  8. Associations between body mass index, post-traumatic stress disorder, and child maltreatment in young women.

    Science.gov (United States)

    Duncan, Alexis E; Sartor, Carolyn E; Jonson-Reid, Melissa; Munn-Chernoff, Melissa A; Eschenbacher, Michaela A; Diemer, Elizabeth W; Nelson, Elliot C; Waldron, Mary; Bucholz, Kathleen K; Madden, Pamela A F; Heath, Andrew C

    2015-07-01

    The objective of this study was to examine interrelationships between child maltreatment, post-traumatic stress disorder (PTSD) and body mass index (BMI) in young women. We used multinomial logistic regression models to explore the possibility that PTSD statistically mediates or moderates the association between BMI category and self-reported childhood sexual abuse (CSA), physical abuse (CPA), or neglect among 3,699 young women participating in a population-based twin study. Obese women had the highest prevalence of CSA, CPA, neglect, and PTSD (pchild maltreatment were significantly, positively associated with overweight and obesity in unadjusted models, only CSA was significantly associated with obesity after adjusting for other forms of maltreatment and covariates (OR=2.21, 95% CI: 1.63, 3.00). CSA and neglect, but not CPA, were associated with underweight in unadjusted models; however, after adjusting for other forms of maltreatment and covariates, the associations were no longer statistically significant (OR=1.43, 95% CI: 0.90-2.28 and OR=2.16, 95% CI: 0.90-5.16 for CSA and neglect, respectively). Further adjustment for PTSD generally resulted in modest attenuation of effects across associations of child maltreatment forms with BMI categories, suggesting that PTSD may, at most, be only a weak partial mediator of these associations. Future longitudinal studies are needed to elucidate the mechanisms linking CSA and obesity and to further evaluate the role of PTSD in associations between child maltreatment and obesity.

  9. Outcome in Patients with High Body Mass Index following Primary Total Hip Arthroplasty

    Directory of Open Access Journals (Sweden)

    Zuned Hakim

    2015-01-01

    Full Text Available Obesity is becoming a critical problem in the developed world and is associated with an increased incidence of osteoarthritis of the hip. The Oxford Hip Score was used to determine if Body Mass Index (BMI is an independent factor in determining patient outcome following primary total hip arthroplasty (THA. Using data from 353 operations we found that patients with BMI ≥ 30 had an absolute score that was lower preoperatively and postoperatively compared to those with a BMI < 30. There was no difference in pre- and postoperative point score change within each group; Kendall’s rank correlation was 0.00047 (95% CI, −0.073 to 0.074 (p=0.99 and demonstrated no trend. There was no statistically significant difference in change between those with BMI ≥ 30 and < 30 (p=0.65. We suggest that those with a higher BMI be considered for THA as they can expect the same degree of improvement as those with a lower BMI. Given the on-going increase in obesity these findings could be significant for the future of THA.

  10. Neighbourhood Influences on Children’s Weight-related Behaviours and Body Mass Index

    Directory of Open Access Journals (Sweden)

    Gabrielle L. Jenkin

    2015-08-01

    Full Text Available Introduction: Neighbourhood contextual factors such as accessibility of food shops and green spaces are associated with adult bodyweight but not necessarily weight-related behaviours. Whether these associations are replicated amongst children is unknown.Aim: To understand which aspects of childrens' neighbourhoods are associated with unhealthy weight and weight-related behaviours.Methods: Individual-level data for children from the 2006/7 New Zealand Health Survey (of Body Mass Index (BMI, dietary indicators and socioeconomic variables were linked with geographic level data on neighbourhood deprivation, rural/urban status, percentage of community engaged in active travel, access to green space, food shops and sports/leisure facilities. Logistic regression models were fitted for measures of BMI and weight-related behaviours; sugar sweetened beverage (SSB consumption; fast-food consumption; and television viewing. Results:Increased Ccommunity engagement in active transport was, counterintuitively, the only neighbourhood contextual factor associated with unhealthy weight amongst children. After adjustment for socioeconomic and environmental variables, greater access to green space appeared to have a protective effect on SSB consumption and neighbourhood deprivation was associated with all three unhealthy weight-related behaviours (SSB and fast-food consumption and television viewing. Conclusions: Although further research is needed, evidence from the current study suggests that a repertoire of health promotion interventions and policies to change unhealthy weight- related behaviours in high deprivation neighbourhoods may be required to address childhood obesity.

  11. Fast food costs and adolescent body mass index: evidence from panel data.

    Science.gov (United States)

    Powell, Lisa M

    2009-09-01

    This study draws on four waves of the 1997 National Longitudinal Survey of Youth and external data to examine the relationship between adolescent body mass index (BMI) and fast food prices and fast food restaurant availability using panel data estimation methods to account for individual-level unobserved heterogeneity. Analyses also control for contextual factors including general food prices and the availability of full-service restaurants, supermarkets, grocery stores, convenience stores and commercial physical activity-related facilities. The longitudinal individual-level fixed effects results confirm cross-sectional findings that the price of fast food but not the availability of fast food restaurants has a statistically significant effect on teen BMI with an estimated price elasticity of -0.08. The results suggest that the cross-sectional model over-estimates the price of fast food BMI effect by about 25%. There is evidence that the weight of teens in low- to middle-socioeconomic status families is most sensitive to fast food prices.

  12. Child temperament and maternal predictors of preschool children's eating and body mass index. A prospective study.

    Science.gov (United States)

    Bergmeier, Heidi; Skouteris, Helen; Horwood, Sharon; Hooley, Merrilyn; Richardson, Ben

    2014-03-01

    Research has previously identified relationships between child temperament and BMI during childhood. However, few studies have addressed the broader implications of child temperament on the development of obesogenic risk factors, such as maternal feeding, child eating and body mass index (BMI) of pre-schoolers. Hence, the current study evaluated cross-sectional and prospective associations between child temperament, maternal feeding, maternal parenting styles, mother-child interaction, preschoolers' eating behaviours and BMI. Child irritability, cooperation-manageability and easy-difficult temperaments, mother-child dysfunctional interaction, maternal pressure to eat and restriction were significantly cross-sectionally associated with child eating behaviours. Child enjoyment of food was significantly associated with child BMI. Child easy-difficult temperament and mother-child dysfunctional interaction predicted child eating behaviours longitudinally and baseline child BMI measures predicted child BMI longitudinally. Average maternal ratings of child temperament were relatively neutral, potentially explaining why most associations were not robust longitudinally. Future research should include a sample of greater socio-economic and BMI diversity as well as objective measures of child temperament, diet composition, maternal feeding practices, and mother-child interaction.

  13. Exercise training decreases body mass index in subjects aged 50 years and over

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    Ignatio Rika Haryono

    2016-02-01

    Full Text Available Exercise training can improve blood pressure in normotensive, prehypertensive, and hypertensive subjects. One of the mechanisms of blood pressure reduction in hypertensive patients with obesity is through weight loss. This study aimed to examine the effect of exercise training on bodyweight and the relationship between weight loss and reduction of blood pressure. An experimental pre-post test design without controls was used to evaluate the effect of exercise training on weight loss. The study involved 89 elderly aged 50 years or more, consisting of 40 men and 49 women, who were members of Senayan Sport Fitness Club and had been exercising for at least three months. Exercise training was programmed and performed three times a week, consisting of aerobic (walking, jogging, static cycling, and resistance exercise. All exercise was performed for one to two hours with mild to moderate intensity. Blood pressure and body weight were obtained from medical records. Paired t-test showed that systolic blood pressure (SBP, diastolic blood pressure (DBP, mean arterial pressure (MAP, pulse pressure (PP, and body mass index (BMI were significantly lower after training [(systolic, 126.3 ± 2.9 vs 122.3 ± 2.7, p=0.02, (diastolic, 80.2 ± 3.1 vs 77.2 ± 2.4, p=0.00, (MAP, 95.6 ± 4.6 vs 92.2 ± 3.4, p=0.00, (PP, 46.1 ± 4.2 vs 45.1 ± 3.6, p=0.04, (BMI, 24.5 ± 2.9 vs 23.6 ± 2.9, p=0.04]. Duration of training was the most influential factor affecting rBMI, (Beta = 0.38; p=0.00. Exercise training could lower BMI and the reduction in diastolic blood pressure was higher for the subjects aged 70 years and over.

  14. Paternal body mass index (BMI is associated with offspring intrauterine growth in a gender dependent manner.

    Directory of Open Access Journals (Sweden)

    You-Peng Chen

    Full Text Available BACKGROUND: Environmental alternations leading to fetal programming of cardiovascular diseases in later life have been attributed to maternal factors. However, animal studies showed that paternal obesity may program cardio-metabolic diseases in the offspring. In the current study we tested the hypothesis that paternal BMI may be associated with fetal growth. METHODS AND RESULTS: We analyzed the relationship between paternal body mass index (BMI and birth weight, ultrasound parameters describing the newborn's body shape as well as parameters describing the newborns endocrine system such as cortisol, aldosterone, renin activity and fetal glycated serum protein in a birth cohort of 899 father/mother/child triplets. Since fetal programming is an offspring sex specific process, male and female offspring were analyzed separately. Multivariable regression analyses considering maternal BMI, paternal and maternal age, hypertension during pregnancy, maternal total glycated serum protein, parity and either gestational age (for birth weight or time of ultrasound investigation (for ultrasound parameters as confounding showed that paternal BMI is associated with growth of the male but not female offspring. Paternal BMI correlated with birth parameters of male offspring only: birth weight; biparietal diameter, head circumference; abdominal diameter, abdominal circumference; and pectoral diameter. Cortisol was likewise significantly correlated with paternal BMI in male newborns only. CONCLUSIONS: Paternal BMI affects growth of the male but not female offspring. Paternal BMI may thus represent a risk factor for cardiovascular diseases of male offspring in later life. It remains to be demonstrated whether this is linked to an offspring sex specific paternal programming of cortisol secretion.

  15. Fatty Acid Synthase Polymorphisms, Tumor Expression, Body Mass Index, Prostate Cancer Risk, and Survival

    Science.gov (United States)

    Nguyen, Paul L.; Ma, Jing; Chavarro, Jorge E.; Freedman, Matthew L.; Lis, Rosina; Fedele, Giuseppe; Fiore, Christopher; Qiu, Weiliang; Fiorentino, Michelangelo; Finn, Stephen; Penney, Kathryn L.; Eisenstein, Anna; Schumacher, Fredrick R.; Mucci, Lorelei A.; Stampfer, Meir J.; Giovannucci, Edward; Loda, Massimo

    2010-01-01

    Purpose Fatty acid synthase (FASN) regulates de novo lipogenesis, body weight, and tumor growth. We examined whether common germline single nucleotide polymorphisms (SNPs) in the FASN gene affect prostate cancer (PCa) risk or PCa-specific mortality and whether these effects vary by body mass index (BMI). Methods In a prospective nested case-control study of 1,331 white patients with PCa and 1,267 age-matched controls, we examined associations of five common SNPs within FASN (and 5 kb upstream/downstream, R2 > 0.8) with PCa incidence and, among patients, PCa-specific death and tested for an interaction with BMI. Survival analyses were repeated for tumor FASN expression (n = 909). Results Four of the five SNPs were associated with lethal PCa. SNP rs1127678 was significantly related to higher BMI and interacted with BMI for both PCa risk (Pinteraction = .004) and PCa mortality (Pinteraction = .056). Among overweight men (BMI ≥ 25 kg/m2), but not leaner men, the homozygous variant allele carried a relative risk of advanced PCa of 2.49 (95% CI, 1.00 to 6.23) compared with lean men with the wild type. Overweight patients carrying the variant allele had a 2.04 (95% CI, 1.31 to 3.17) times higher risk of PCa mortality. Similarly, overweight patients with elevated tumor FASN expression had a 2.73 (95% CI, 1.05 to 7.08) times higher risk of lethal PCa (Pinteraction = .02). Conclusion FASN germline polymorphisms were significantly associated with risk of lethal PCa. Significant interactions of BMI with FASN polymorphisms and FASN tumor expression suggest FASN as a potential link between obesity and poor PCa outcome and raise the possibility that FASN inhibition could reduce PCa-specific mortality, particularly in overweight men. PMID:20679621

  16. CORRELATION BETWEEN BODY MASS INDEX AND HANDGRIP STRENGTH AND HANDGRIP ENDURANCE AMONG YOUNG HEALTHY ADULTS

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    Anupi

    2015-07-01

    Full Text Available BACKGROUND: Physical inactivity has become a serious problem all over the world. Handgrip Strength (a form of isometric static contraction test, is an important test to evaluate the physical fitness and nutritional status of an individua l. A number of factors like a ge, gender, body size, effort, skeletal muscle bulk and contractility may affect the handgrip strength (HGS and handgrip endurance (HGE. AIM: This study was conducted to establish the possible correlation (if any between body mass index and handgrip str ength and endurance among young healthy adults. MATERIALS AND METHODS: A population based cross - sectional study comprising of 200 students (both male and female, age group - 18 - 22 yrs was carried out in the Department of Physiology, Jorhat Medical College. Anthropometric parameters like height and weight were taken to evaluate the BMI and handgrip strength and handgrip endurance were taken by using handgrip dynamometer. According to WHO classification of BMI, subjects were categorized into three groups as un derweight BMI ≤18.5 kg/m 2 , normal weight BMI 18.5 - 24.9 kg/m 2 and overweight BMI≥ 24.9 kg/m 2 . Gender wise difference was analyzed by unpaired t test. Statistical analysis for correlation was done by using Karl Pearson’s Correlation Coefficient denoted by(r. RESULT: Males had higher handgrip strength and handgrip endurance than females. Statistic ally significant correlation was found between BMI and handgrip strength & endurance in underweight & overweight subjects. Gender differences in correlation were observed in correlation between BMI & HGS and HGE. CONCLUSION: The observed influence of BMI a nd gender differences in correlation between BMI and HGS and HGE indicate that besides BMI several other factors like effort, strength, muscular contractility etc . affect muscular strength & endurance in young males and females.

  17. Role of body mass index in colon cancer patients in Taiwan

    Institute of Scientific and Technical Information of China (English)

    Chih-Chien Chin; Yi-Hung Kuo; Chien-Yuh Yeh; Jinn-Shiun Chen; Reiping Tang; Chung-Rong Changchien; Jeng-Yi Wang

    2012-01-01

    AIM:To determine the effect of body mass index (BMI) on the characteristics and overall outcome of colon cancer in Taiwan.METHODS:From January 1995 to July 2003,2138 patients with colon cancer were enrolled in this study.BMI categories (in kg/m2) were established according to the classification of the Department of Health of Taiwan.Postoperative morbidities and mortality,and survival analysis including overall survival (OS),diseasefree survival (DFS),and cancer-specific survival (CSS) were compared across the BMI categories.RESULTS:There were 164 (7.7%) underweight (BMI < 18.5 kg/m2),1109 (51.9%) normal-weight (BMI =18.5-23.9 kg/m2),550 (25.7%) overweight (BMI =24.0-26.9 kg/m2),and 315 (14.7%) obese (BMI ≥27 kg/m2) patients.Being female,apparently anemic,hypoalbuminemic,and having body weight loss was more likely among underweight patients than among the other patients (P < 0.001).Underweight patients had higher mortality rate (P =0.007) and lower OS (P < 0.001) and DFS (P =0.002) than the other patients.OS and DFS did not differ significantly between normal-weight,overweight,and obese patients,while CSS did not differ significantly with the BMI category.CONCLUSION:In Taiwan,BMI does not significantly affect colon-CSS.Underweight patients had a higher rate of surgical mortality and a worse OS and DFS than the other patients.Obesity does not predict a worse survival.

  18. Effect of menopause on lipid profile in relation to body mass index

    Directory of Open Access Journals (Sweden)

    Geetanjali Bade

    2014-01-01

    Full Text Available Background: Menopause is a natural event in the ageing process and signifies the end of reproductive years with cessation of cyclic ovarian function as manifested by cyclic menstruation. Lipid profile is altered in menopause because of various reasons. Objectives: The study was aimed to compare the lipid profile in women with normal body mass index (BMI = 18.9-24.9 and women with BMI = 25-29.9 in both pre- and post-menopausal group. Materials and Methods: Estimation of total cholesterol (TC by CHOD-PAP Cholesterol Oxidase - Peroxidase + Aminophenazone + Phenol method, triglyceride (TG by enzymatic calorimetric method, high density lipoprotein-cholesterol (HDL-C phosphotungstic acid method, low density lipoprotein-cholesterol (LDL-C by using Friedewald formula and very low density lipoprotein (VLDL was done by using the formula -VLDL = TG/5 in 30 women selected in each group. Results: Our study revealed that serum levels of TC, TG and LDL-C were significantly higher in post-menopausal women in comparison to their pre-menopausal counterparts, irrespective of BMI (P < 0.05. Similarly, HDL-C levels were significantly lower in post-menopausal women as compared with pre-menopausal women of similar BMI (P < 0.05. Conclusions: We found that serum levels of TC, TG and LDL-C were significantly higher in post-menopausal women in comparison to their pre-menopausal counterparts, irrespective of BMI. Similarly, HDL-C levels were significantly lower in post-menopausal women as compared to pre-menopausal women of similar BMI. Since we found similar changes in women of different BMIs, the difference in hormonal status is the probable cause of altered lipid profile. Hence, all post-menopausal women irrespective of body weight and BMI should be strongly counseled to have proper physical exercise and dietary habits to avoid the possible cardiovascular complications.

  19. Investigation of the relationship of Body Weight and Body Mass Index with the Low Back Pain in nursing staff

    Directory of Open Access Journals (Sweden)

    Vasilopoulos A.

    2016-12-01

    Full Text Available Introduction: Musculoskeletal disorders are one of the most common health problems. Low Back Pain (LBP is a musculoskeletal disease with very high morbidity that can be prevented. The nursing staffs, as presented by the relevant literature, are in high-risk groups for the development of musculoskeletal injuries. There is a significant relationship between low back pain and body weight. The presence of (LBP in people with increased Body Mass Index (BMI is an existing epidemiological relationship that the scientific community has working. Material and Methods: The sample of the study consisted of 123 nurses, various disciplines and departments of five hospitals in Greece (in the period 01/03/2012 - 31/05/2012. The data collection was performed by the method of interview and with the help of a structured, anonymous and self-administered questionnaire with the method of random sampling. In statistics analysis were used correlation tests (x2 of Pearson, t test, among key demographic variables and factors that might be responsible and influence pain appearance in the lumbar region. The significance level was set at p≤0,05. For data analysis used the statistical package for Social Sciences SPSS 18. Results: The 87.8% of the Sample were women and 12.2% men. The majority of workers were aged 40-50 years and graduates (56.9% of Higher Education. The incidence of low back pain was determined at 82.9%. The effect of body weight on display LBP presents a positive statistical correlation (t test 2,474, p = 0.015. Control of LBP and body weight in both sexes showed a statistically significant association only among women (t test = 3,349, p = 0.001 .The relationship between BMI and low back pain in both sexes was statistically significant, (t test = 2,811, p = 0,006. Conclusions: This study shows that the majority of nursing staff (82.9% suffered from back pain. Body weight affects the occurrence of back pain in both sexes, but women has significant

  20. Serum Creatinine Modifies Associations between Body Mass Index and Mortality and Morbidity in Prevalent Hemodialysis Patients.

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    Yukitoshi Sakao

    Full Text Available High body mass index (BMI is paradoxically associated with better outcomes in hemodialysis (HD patients. This study aimed to examine whether serum creatinine (Cr, a marker of muscle mass, could modify the association between BMI, and mortality and morbidity in prevalent HD patients.A retrospective study was conducted using a nationwide database from the registry of the Japanese Society for Dialysis Therapy. A total of 119,099 patients were selected (age: 65±12 years; median time on HD: 5.6 years; male: 62%, and we examined the association of basal BMI with mortality and morbidity after a 1-year period. Patients were stratified either by BMI into 4 groups or by serum Cr levels into 3 tertiles. Odds ratio (OR [95% confidence interval] was calculated by multivariate logistic regression analysis.Higher BMI did not predict a higher 1-year total mortality. However, when we stratified the patients by serum Cr levels, the risk of cardiac death became significantly higher in obese patients with the lowest Cr levels, in both males (OR 2.82 [1.51-5.27], p<0.01 and females (OR 2.00 [1.03-3.90], p<0.05. The risk of new cerebral infarction was also higher in obese male patients within the lowest Cr tertile. In contrast, there was a significantly lower risk of cardiac, cerebrovascular, and infection-related death in non-obese patients with higher levels of Cr. Higher serum Cr was also related to a lower risk of cardiovascular events and hip fracture in non-obese HD patients.The obesity paradox was found to be present in HD patients only when obesity was defined by BMI. Decreased serum Cr levels were found to be positively associated with clinical poor outcomes in all BMI groups. Thus, irrespective of BMI, the evaluation of serum Cr levels is important to predict mortality and morbidity in patients receiving regular HD.

  1. Body mass index and measures of body fat for defining obesity and underweight: a cross-sectional, population-based study

    OpenAIRE

    Pasco, Julie A; Kara L. Holloway; Amelia G. Dobbins; Kotowicz, Mark A; Lana J Williams; Brennan, Sharon L

    2014-01-01

    Background The body mass index (BMI) is commonly used as a surrogate marker for adiposity. However, the BMI indicates weight-for-height without considering differences in body composition and the contribution of body fat to overall body weight. The aim of this cross-sectional study was to identify sex-and-age-specific values for percentage body fat (%BF), measured using whole body dual energy x-ray absorptiometry (DXA), that correspond to BMI 18.5 kg/m2 (threshold for underweight), 25.0 kg/m2...

  2. The relationships between breast volume, breast dense volume and volumetric breast density with body mass index, body fat mass and ethnicity

    Science.gov (United States)

    Zakariyah, N.; Pathy, N. B.; Taib, N. A. M.; Rahmat, K.; Judy, C. W.; Fadzil, F.; Lau, S.; Ng, K. H.

    2016-03-01

    It has been shown that breast density and obesity are related to breast cancer risk. The aim of this study is to investigate the relationships of breast volume, breast dense volume and volumetric breast density (VBD) with body mass index (BMI) and body fat mass (BFM) for the three ethnic groups (Chinese, Malay and Indian) in Malaysia. We collected raw digital mammograms from 2450 women acquired on three digital mammography systems. The mammograms were analysed using Volpara software to obtain breast volume, breast dense volume and VBD. Body weight, BMI and BFM of the women were measured using a body composition analyser. Multivariable logistic regression was used to determine the independent predictors of increased overall breast volume, breast dense volume and VBD. Indians have highest breast volume and breast dense volume followed by Malays and Chinese. While Chinese are highest in VBD, followed by Malay and Indian. Multivariable analysis showed that increasing BMI and BFM were independent predictors of increased overall breast volume and dense volume. Moreover, BMI and BFM were independently and inversely related to VBD.

  3. Maternal Pre-Pregnancy Body Mass Index and Offspring Temperament and Behavior at 1 and 2 Years of Age

    Science.gov (United States)

    Van Lieshout, Ryan J.; Schmidt, Louis A.; Robinson, Monique; Niccols, Alison; Boyle, Michael H.

    2013-01-01

    Recent research suggests that fetal exposure to increased maternal body mass index (BMI) during pregnancy may be associated with psychopathology later in life. When this link first emerges, and if it is due to intrauterine exposures or confounding variables is not known. We therefore assessed associations between maternal pre-pregnancy BMI and:…

  4. The mediation effect of emotional eating between depression and body mass index in the two European countries Denmark and Spain

    NARCIS (Netherlands)

    Strien, T. van; Winkens, L.H.H.; Toft, M.B.; Pedersen, S.; Brouwer, I.A.; Visser, Marjolein; Lähteenmäki, L.

    2016-01-01

    In two European countries with a different prevalence of depression, namely Denmark (high) and Spain (low), we assessed whether the mediation effect of emotional eating between depression and Body Mass Index (BMI) as found in earlier studies can be replicated and whether this mediation effect is con

  5. Physical activity, diet and gene-environment interactions in relation to body mass index and waist circumference

    DEFF Research Database (Denmark)

    Karnehed, Nina; Tynelius, Per; Heitmann, Berit L

    2006-01-01

    OBJECTIVE: The aim of the present study was to examine the relationships between genetic susceptibility to obesity, physical activity (PA), dietary fibre, sugar and fat intakes and 4-year changes in body mass index (BMI) and attained waist circumference (WC) in a cohort of 287 monozygotic and 189...

  6. Pregestational body mass index is related to neonatal abdominal circumference at birth--a Danish population-based study

    DEFF Research Database (Denmark)

    Tanvig, M; Wehberg, S; Vinter, C A

    2013-01-01

    OBJECTIVES: To examine the impact of maternal pregestational body mass index (BMI) and smoking on neonatal abdominal circumference (AC) and weight at birth. To define reference curves for birth AC and weight in offspring of healthy, nonsmoking, normal weight women. DESIGN: Population-based study...

  7. Body mass index in young school-age children in relation to organochlorine compounds in early life

    DEFF Research Database (Denmark)

    Høyer, B B; Ramlau-Hansen, C H; Henriksen, T B

    2014-01-01

    OBJECTIVE: To investigate the association between maternal pregnancy and estimated postnatal serum concentrations of the organochlorines 2,2',4,4',5,5'-hexachlorobiphenyl (CB-153) and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (p,p'-DDE) and body mass index (BMI) z-scores in 5- to 9-year-old ch...

  8. Joint Effect of Cigarette Smoking and Body Mass Index on White Blood Cell Count in Korean Adults

    Science.gov (United States)

    Cho, A-Ra; Choi, Won-Jun; Kim, Shin-Hye; Shim, Jae-Yong

    2017-01-01

    Background White blood cell count is an independent risk factor for cardiovascular disease. Several lifestyle and metabolic factors such as cigarette smoking and obesity are known to be associated with an elevated white blood cell count. However, the joint effect of cigarette smoking and obesity on white blood cell count has not yet been fully described. Methods We explored the joint effect of cigarette smoking and obesity on white blood cell count using multiple logistic regression analyses after adjusting for confounding variables in a population-based, cross-sectional study of 416,065 Korean adults. Results Cigarette smoking and body mass index have a dose-response relationship with a higher white blood cell count, but no synergistic interaction is observed between them (men, P for interaction=0.797; women, P for interaction=0.311). Cigarette smoking and body mass index might have an additive combination effect on high white blood cell count. Obese male smokers were 2.36 times more likely and obese female smokers 2.35 times more likely to have a high white blood cell count when compared with normal body mass index non-smokers. Conclusion Cigarette smoking and body mass index are independently associated with an elevated white blood cell count in both men and women. PMID:28360982

  9. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies

    DEFF Research Database (Denmark)

    NN, NN; Whitlock, Gary; Lewington, Sarah;

    2009-01-01

    BACKGROUND: The main associations of body-mass index (BMI) with overall and cause-specific mortality can best be assessed by long-term prospective follow-up of large numbers of people. The Prospective Studies Collaboration aimed to investigate these associations by sharing data from many studies....

  10. Body mass index and mortality in acutely decompensated heart failure across the world : a global obesity paradox

    NARCIS (Netherlands)

    Shah, Ravi; Gayat, Etienne; Januzzi, James L; Sato, Naoki; Cohen-Solal, Alain; diSomma, Salvatore; Fairman, Enrique; Harjola, Veli-Pekka; Ishihara, Shiro; Lassus, Johan; Maggioni, Aldo; Metra, Marco; Mueller, Christian; Mueller, Thomas; Parenica, Jiri; Pascual-Figal, Domingo; Peacock, William Frank; Spinar, Jindrich; van Kimmenade, Roland; Mebazaa, Alexandre

    2014-01-01

    OBJECTIVES: This study sought to define the relationship between body mass index (BMI) and mortality in heart failure (HF) across the world and to identify specific groups in whom BMI may differentially mediate risk. BACKGROUND: Obesity is associated with incident HF, but it is paradoxically associa

  11. New Approach to School Health Initiatives: Using Fitness Measures Instead of Body Mass Index to Evaluate Outcomes

    Science.gov (United States)

    Phelps, Joshua; Smith, Amanda; Parker, Stephany; Hermann, Janice

    2016-01-01

    Oklahoma Cooperative Extension Service provided elementary school students with a program that included a noncompetitive physical activity component: circuit training that combined cardiovascular, strength, and flexibility activities without requiring high skill levels. The intent was to improve fitness without focusing on body mass index as an…

  12. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity

    DEFF Research Database (Denmark)

    Romaguera, Dora; Ängquist, Lars Henrik; Du, Huaidong;

    2010-01-01

    Given the recognized health effects of visceral fat, the understanding of how diet can modulate changes in the phenotype "waist circumference for a given body mass index (WC(BMI))", a proxy measure of visceral adiposity, is deemed necessary. Hence, the objective of the present study was to assess...

  13. Maternal Predictors of Preschool Child-Eating Behaviours, Food Intake and Body Mass Index: A Prospective Study

    Science.gov (United States)

    McPhie, Skye; Skouteris, Helen; Fuller-Tyszkiewicz, Matthew; McCabe, Marita; Ricciardelli, Lina A.; Milgrom, Jeannette; Baur, Louise A.; Dell'Aquila, Daniela

    2012-01-01

    This study extends McPhie et al. (2011)'s [Maternal correlates of preschool child eating behaviours and body mass index: A cross-sectional study. "International Journal of Pediatric Obesity", Early Online, 1-5.] McPhie et al. (2011)'s cross-sectional research, by prospectively evaluating maternal child-feeding practices, parenting style and…

  14. Peer Victimization as a Predictor of Depression and Body Mass Index in Obese and Non-Obese Adolescents

    Science.gov (United States)

    Adams, Ryan E.; Bukowski, William M.

    2008-01-01

    Background: The current study examined the pathway from peer victimization to depressive symptoms and body mass index (BMI) as mediated by self-concept for physical appearance in both obese and non-obese adolescents. It was thought that this pathway would be particularly important for obese adolescents because, compared to non-obese adolescents,…

  15. Endocannabinoid receptor 1 gene variations increase risk for obesity and modulate body mass index in European populations

    DEFF Research Database (Denmark)

    Benzinou, Michael; Chèvre, Jean-Claude; Ward, Kirsten J

    2008-01-01

    The therapeutic effects of cannabinoid receptor blockade on obesity-associated phenotypes underline the importance of the endocannabinoid pathway on the energy balance. Using a staged-approach, we examined the contribution of the endocannabinoid receptor 1 gene (CNR1) on obesity and body mass index...

  16. Job strain in relation to body mass index: Pooled analysis of 160000 adults from 13 cohort studies

    NARCIS (Netherlands)

    Nyberg, S.T.; Heikkilä, K.; Fransson, E.I.; Alfredsson, L.; Bacquer, D.de; Bjorner, J.B.; Bonenfant, S.; Borritz, M.; Burr, H.; Casini, A.; Clays, E.; Dragano, N.; Erbel, R.; Geuskens, G.A.; Goldberg, M.; Hooftman, W.E.; Houtman, I.L.; Jöckel, K.-H.; Kittel, F.; Knutsson, A.; Koskenvuo, M.; Leineweber, C.; Lunau, T.; Madsen, I.E.H.; Hanson, L.L.M.; Marmot, M.G.; Nielsen, M.L.; Nordin, M.; Oksanen, T.; Pentti, J.; Rugulies, R.; Siegrist, J.; Suominen, S.; Vahtera, J.; Virtanen, M.; Westerholm, P.; Westerlund, H.; Zins, M.; Ferrie, J.E.; Theorell, T.; Steptoe, A.; Hamer, M.; Singh-Manoux, A.; Batty, G.D.; Kivimäki, M.

    2012-01-01

    Background. Evidence of an association between job strain and obesity is inconsistent, mostly limited to small-scale studies, and does not distinguish between categories of underweight or obesity subclasses. Objectives. To examine the association between job strain and body mass index (BMI) in a lar

  17. Effect of Physically Active Academic Lessons on Body Mass Index and Physical Fitness in Primary School Children

    Science.gov (United States)

    de Greeff, Johannes W.; Hartman, Esther; Mullender-Wijnsma, Marijke J.; Bosker, Roel J.; Doolaard, Simone; Visscher, Chris

    2016-01-01

    Background: Preventing overweight and improving physical fitness in primary school children is a worldwide challenge, and physically active intervention programs usually come with the cost of academic instruction time. This study aimed to investigate effects of physically active academic lessons on body mass index (BMI) and physical fitness in…

  18. The Effect of Regular Breakfast on Body Mass Index in 9- to 10-Year-Old Czech Children

    Science.gov (United States)

    Klimesova, Iva; Miklankova, Ludmila; Stelzer, Jiri; Ernest, James

    2016-01-01

    Background: Eating habits play a crucial role in weight control management; however, little research has examined whether frequency of breakfast consumption influences body mass index (BMI) in middle childhood. Purpose: The purpose of this study was to (a) determine the relationship between BMI and the frequency of breakfast consumption, (b)…

  19. The role of body mass index, insulin, and adiponectin in the relation between fat distribution and bone mineral density

    NARCIS (Netherlands)

    M.C. Zillikens (Carola); A.G. Uitterlinden (André); J.P.T.M. van Leeuwen (Hans); A.L. Berends (Anne); P. Henneman (Peter); J.A.P. Willems van Dijk (Ko); B.A. Oostra (Ben); C.M. van Duijn (Cock); H.A.P. Pols (Huib); F. Rivadeneira Ramirez (Fernando)

    2010-01-01

    textabstractDespite the positive association between body mass index (BMI) and bone mineral density (BMD) and content (BMC), the role of fat distribution in BMD/BMC remains unclear. We examined relationships between BMD/BMC and various measurements of fat distribution and studied the role of BMI, in

  20. The Effect of Dietary Pattern and Body Mass Index on the Academic Performance of In-School Adolescents

    Science.gov (United States)

    Ogunsile, Seyi Elizabeth

    2012-01-01

    The main objective of this study was to determine the effects of dietary pattern and body mass index on the academic performance of in-school adolescents in Ekiti State. One hundred and twenty eight students (10-19 years) selected from three senior secondary schools in Ekiti State Nigeria, formed the participants for this study. Questionnaire was…

  1. Children's self-perceived bodily competencies and associations with motor skills, body mass index, teachers' evaluations, and parents' concerns

    DEFF Research Database (Denmark)

    Toftegaard-Stoeckel, Jan; Groenfeldt, Vivian; Andersen, Lars Bo

    2010-01-01

    ability test "Korperkoordinationstest fur Kinder", while the children's, their parents', and their teachers' evaluations were obtained through questionnaires. Parental concern, teacher evaluation, and a high body mass index were the strongest predictors of low physical competence (motor skill quotient ...

  2. Combined adverse effects of maternal smoking and high body mass index on heart development in offspring : evidence for interaction?

    NARCIS (Netherlands)

    Baardman, M.E.; Kerstjens-Frederikse, W.S.; Corpeleijn, E.; de Walle, H.E.K.; Hofstra, R.M.W.; Berger, R.M.F.; Bakker, M.K.

    2012-01-01

    Objective To study the influence of a possible interaction between maternal smoking and high body mass index (BMI) on the occurrence of specific congenital heart anomalies (CHA) in offspring. Design Case-control study. Setting Data from a population-based birth defects registry in the Netherlands. P

  3. Dietary determinants of changes in waist circumference adjusted for body mass index - a proxy measure of visceral adiposity

    NARCIS (Netherlands)

    Romaguera, D.; Angquist, L.; Huaidong, D.U.; Jakobsen, M.U.; Forouhi, N.G.; Halkjaer, J.; Feskens, E.J.M.; A, van der D.L.; Masala, G.; Steffen, A.; Palli, D.; Wareham, N.; Overvad, K.; Tjonneland, A.; Boeing, H.; Riboli, E.; Sorensen, T.

    2010-01-01

    Background Given the recognized health effects of visceral fat, the understanding of how diet can modulate changes in the phenotype “waist circumference for a given body mass index (WCBMI)”, a proxy measure of visceral adiposity, is deemed necessary. Hence, the objective of the present study was to

  4. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry

    NARCIS (Netherlands)

    Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris S.; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W. K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Feng, Ye; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm J. M.; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N'Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Edwards, Digna R. Velez; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F. A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L. R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michele M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George J.; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth J. F.; North, Kari E.; Haiman, Christopher A.

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up t

  5. Prospective analysis of body mass index during and up to 5 years after discharge from inpatient spinal cord injury rehabilitation

    NARCIS (Netherlands)

    de Groot, Sonja; Post, Marcel W. M.; Sluis, Tebbe A.; van der Woude, Lucas H. V.; Postma, K.

    2010-01-01

    Objective: To investigate the prevalence of overweight/obesity and the course of the body mass index (BMI) in persons with spinal cord injury during and after inpatient rehabilitation. Design: Multi-centre longitudinal study. Subjects: A total of 184 persons with spinal cord injury. Methods: BMI was

  6. Body mass index, height and risk of adenocarcinoma of the oesophagus and gastric cardia: A prospective cohort study

    NARCIS (Netherlands)

    Merry, A.H.H.; Schouten, L.J.; Goldbohm, R.A.; Brandt, P.A. van den

    2007-01-01

    Background: In the last decades, the incidence of oesophageal and gastric cardia adenocarcinoma has increased rapidly in the Western world. We investigated the association between body mass index (BMI), height and risk of oesophageal and gastric cardia adenocarcinoma. Methods: The Netherlands Cohort

  7. Body Mass Index assessment of institutionalized aged people without cognitive impairment using clinical and nutritional factors

    Directory of Open Access Journals (Sweden)

    María del Mar Ruperto López

    2016-12-01

    Full Text Available Introduction: Overweight and obesity are recognized mortality risk factors in the general population. The aim of the study was to analyse the phenotypic distribution of body mass index (BMI, and to identify the prevalence of malnutrition and clinical and nutritional factors related to BMI in autonomous institutionalized elders. Material and Methods: Cross-sectional and descriptive study in 104 institutionalized aged people (73% female, mean of age 86.4 [±6.2] years and time on institutionalization 25.7 [±21.7] months. Mini-Nutritional Assessment (MNA, anthropometric measures and laboratory parameters were used for nutritional assessment. Bioimpedance analysis (BIA-101; RJL-System was used for body composition analysis. The sample was classified into BMI tertiles (Tn: T1=<26.2kg/m2; T2=26.3-29.7kg/m2; and T3=≥29.8kg/m2. Results: The phenotypic distribution of BMI was: overweight 51% and, prevalence of obesity 29.8%. Mean of BMI: 28.3 (±4.6 kg/m2. Nutritional risk or malnutrition were 60.6% and 11.5%, respectively in the sample. The tertiles of BMI showed significant differences with: mid-arm muscle circumference, triceps-skinfold thickness, total body water (TBW (all, p<0.001. Subjects into T1 had significantly higher nutritional risk or malnutrition compared with T2 and T3 counterparts (p=0.015. Waist-circumference, calf-circumference (at least, p<0.01, and TBW (p<0.001 were independent predictors of BMI in the linear regression analysis (R2=0.52. Conclusions: Overweight and obesity measured by BMI is not an exclusion criterion of malnutrition in the geriatric population. Nutritional screening by MNA and the conjoint use of clinical-nutritional parameters are useful for identifying at nutritional risk or malnutrition. Further studies are needed to define the potential nutritional risk factors associated with BMI in autonomous institutionalized aged.

  8. Chronic airflow limitation in a rural Indian population: etiology and relationship to body mass index

    Directory of Open Access Journals (Sweden)

    Chakrabarti B

    2011-10-01

    Full Text Available Biswajit Chakrabarti1, Sabita Purkait2, Punyabrata Gun2, Vicky C Moore3, Samadrita Choudhuri4, MJ Zaman5,6, Christopher J Warburton1, Peter MA Calverley7, Rahul Mukherjee3 1Aintree Chest Centre, University Hospital Aintree, Liverpool, UK; 2Moitri Swasthya Kendra, Shramajibi Swasthya Udyog, Chengail, West Bengal, India; 3Department of Respiratory Medicine and Physiology, Birmingham Heartlands Hospital, Birmingham, UK; 4National Medical College, Birgunj, Nepal; 5Department of Epidemiology and Public Health, University College, London, UK; 6The George Institute for Global Health, Sydney, Australia; 7Clinical Sciences Centre, University Hospital Aintree, Liverpool, UK Purpose: Respiratory conditions remain a source of morbidity globally. As such, this study aimed to explore factors associated with the development of airflow obstruction (AFO in a rural Indian setting and, using spirometry, study whether underweight is linked to AFO. Methods: Patients > 35 years old attending a rural clinic in West Bengal, India, took a structured questionnaire, had their body mass index (BMI measured, and had spirometry performed by an ancillary health care worker. Results: In total, 416 patients completed the study; spirometry was acceptable for analysis of forced expiratory volume in 1 second in 286 cases (69%; 16% were noted to exhibit AFO. Factors associated with AFO were: increasing age (95% confidence interval (CI 0.004–0.011; P = 0.005, smoking history (95% CI 0.07–0.174; P = 0.006, male gender (95% CI 0.19–0.47; P = 0.012, reduced BMI (95% CI 0.19–0.65; P = 0.02, and occupation (95% CI 0.12–0.84; P = 0.08. The mean BMI in males who currently smoked (n = 60; 19.29 kg/m2; standard deviation [SD] 3.46 was significantly lower than in male never smokers (n = 33; 21.15 kg/m2 SD 3.38; P < 0.001. AFO was observed in 27% of subjects with a BMI <18.5 kg/m2, falling to 13% with a BMI ≥18.5 kg/m2 (P = 0.013. AFO was observed in 11% of housewives, 22% of farm

  9. Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early Postmenopausal Intervention Cohort (EPIC) study group

    DEFF Research Database (Denmark)

    Ravn, Pernille; Cizza, G; Bjarnason, N H;

    1999-01-01

    Thinness (low percentage of body fat, low body mass index [BMI], or low body weight) was evaluated as a risk factor for low bone mineral density (BMD) or increased bone loss in a randomized trial of alendronate for prevention of osteoporosis in recently postmenopausal women with normal bone mass (n...... of fat mass parameters, prevention of postmenopausal osteoporosis can be equally achieved in thinner and heavier women....... (r = -0.12 to -0.15, p treatment effect of alendronate was dependent on these risk factors, the group treated with 5 mg of alendronate was included (n = 403). There were no associations between fat mass parameters and response to alendronate treatment, which...

  10. Comparison of Body Mass Index (BMI) Categories Based on Asian and Universal Standards and Language Spoken at Home among Asian American University Students

    Science.gov (United States)

    Ng, Tiffany; McMahan, Shari; Mouttapa, Michele; Tanjasiri, Sora Park; Beam, William

    2009-01-01

    Background: The World Health Organization released lower Body Mass Index (BMI) cutoff points for Asian individuals to account for increased body fat percentage (BF%) and risk of obesity-related conditions at a lower body mass index. Purpose: This preliminary study: (1) explores the impact of utilizing Asian BMI standards (compared to universal…

  11. Body Dissatisfaction and Self-Esteem in Female Students Aged 9-15: the Effects of Age, Family Income, Body Mass Index Levels and Dance Practice

    Directory of Open Access Journals (Sweden)

    Monteiro Lilian A.

    2014-12-01

    Full Text Available This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32. The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.81, respectively. The tests were applied (two-factor ANOVA to compare the students practicing and those not practicing dance; the differences in the levels of body dissatisfaction (p=0.104 and self-esteem (p=0.09 were considered significant. The results demonstrated that age negatively correlated with body dissatisfaction (r=-0.19; p<0.01 and that higher body mass index levels were associated with greater body dissatisfaction (r=0.15, p=0.016 and lower levels of self-esteem (r=-0.17, p<0.01 only in non-practitioners. The practice of dance had a significant effect on levels of body dissatisfaction (F=4.79; p=0.030; η2=0.02, but there was no significant difference in self-esteem (F=1.88; p=0.172; η2=0.02. It can be concluded that female children and adolescents practicing dance have higher self-esteem, and are more satisfied with their body weight and their appearance. Moreover, results showed that self-esteem and body dissatisfaction were influenced by the body mass index levels only in the nonpractitioners group.

  12. Effect of a School-Based Water Intervention on Child Body Mass Index and Obesity

    Science.gov (United States)

    Schwartz, Amy Ellen; Leardo, Michele; Aneja, Siddhartha; Elbel, Brian

    2016-01-01

    IMPORTANCE Decreasing the amount of caloric beverages consumed and simultaneously increasing water consumption is important to promoting child health and decreasing the prevalence of childhood obesity. OBJECTIVE To estimate the impact of water jets (electrically cooled, large clear jugs with a push lever for fast dispensing) on standardized body mass index, overweight, and obesity in elementary school and middle school students. Milk purchases were explored as a potential mechanism for weight outcomes. DESIGN, SETTING, AND PARTICIPANTS This quasi-experimental study used a school-level database of cafeteria equipment deliveries between the 2008-2009 and 2012-2013 and included a sample of 1227 New York, New York, public elementary schools and middle schools and the 1 065 562 students within those schools. INTERVENTION Installation of water jets in schools. MAIN OUTCOMES AND MEASURES Individual body mass index (BMI) was calculated for all students in the sample using annual student-level height and weight measurements collected as part of New York’s FITNESSGRAM initiative. Age- and sex-specific growth charts produced by the Centers for Disease Control and Prevention were used to categorize students as overweight and obese. The hypothesis that water jets would be associated with decreased standardized BMI, overweight, and obesity was tested using a difference-in-difference strategy, comparing outcomes for treated and nontreated students before and after the introduction of a water jet. RESULTS This study included 1 065 562 students within New York City public elementary schools and middle schools. There was a significant effect of water jets on standardized BMI, such that the adoption of water jets was associated with a 0.025 (95% CI, −0.038 to −0.011) reduction of standardized BMI for boys and a 0.022 (95% CI, −0.035 to −0.008) reduction of standardized BMI for girls (P < .01). There was also a significant effect on being overweight. Water jets were

  13. Comparison of variations between percentage of body fat, body mass index and daily physical activity among young Japanese and Thai female students

    Directory of Open Access Journals (Sweden)

    Morinaka Tomoko

    2012-08-01

    Full Text Available Abstract Background In our series of investigations concerning the causes of seasonal change in fat accumulation in young university students, we could not find any contribution of seasonal variation in the ratio of carbohydrate and fat metabolism to that of body fat percentage in Japanese and Thai participants. After our previous study, we examined the effect of daily physical activity on body fat percentage to look for the major causes of seasonal change in fat accumulation in young university students. Findings In this study, we measured participants’ (young Japanese and Thai university students daily physical activity by a uniaxial accelerometer in addition to the measurements of body fat percentage and body mass index by a bioelectrical impedance meter. We found that there was significant and moderate negative correlation between body fat percentage and daily step counts among Japanese but not Thai participants. We observed significant, moderate and positive correlations between the percentage of body fat and body mass index among Japanese and Thai participants. Conclusions Daily physical activity plays an important role in the seasonal variation of body fat percentage of Japanese female students. Our present study also confirmed the importance of daily physical activity for controlling body mass index and for the prevention of obesity.

  14. Body Dissatisfaction and Self-Esteem in Female Students Aged 9–15: The Effects of Age, Family Income, Body Mass Index Levels and Dance Practice

    Science.gov (United States)

    Monteiro, Lilian A.; Novaes, Jefferson S.; Santos, Mara L.; Fernandes, Helder M.

    2014-01-01

    This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32). The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.81, respectively). The tests were applied (two-factor ANOVA) to compare the students practicing and those not practicing dance; the differences in the levels of body dissatisfaction (p=0.104) and self-esteem (p=0.09) were considered significant. The results demonstrated that age negatively correlated with body dissatisfaction (r=−0.19; padolescents practicing dance have higher self-esteem, and are more satisfied with their body weight and their appearance. Moreover, results showed that self-esteem and body dissatisfaction were influenced by the body mass index levels only in the non-practitioners group. PMID:25713641

  15. CHANGING TRENDS IN LIFESTYLE BEHAVIOUR AND PHYSICAL ACTIVITY ON BODY MASS INDEX AMONG MEDICAL STUDENTS

    Directory of Open Access Journals (Sweden)

    Viji

    2016-03-01

    Full Text Available BACKGROUND Early sleep, early waking up, regular breakfast and light-to-moderate exercise all constitute healthy habits. Balanced diet, regular sleep and adequate physical activity are major factors in the promotion and maintenance of good health in human life. Regrettably these habits are not very frequent among medical students, because of exceptionally tiring schedule, protracted studies and burden of performing well in medical colleges. The study aims to correlate the trends in breakfast habits, mid-day snacking, sleeping habits and physical activity in relation to body mass index among medical students. METHOD This was a single centre cross-sectional questionnaire based study conducted at Jubilee Mission Medical College & Research Institute, Thrissur, Kerala. The target population was 1 st year MBBS students. We collected data from 234 students. The study duration was from August 2014 till September 2015. Convenient sampling was implied for the collection of data. RESULTS Mean age of participants was 20.85 ± 0.9 years, while mean BMI of participants was 24.7 ± 6.31 kg/m2. Average sleep duration was 7.1 hours ± 3.9 hours while average physical activity was 208 min/week ± 92 min/week. We observed that females (63.4% tend to skip breakfast twice more than males (27.9%. Students who had regular breakfast were found to have a lower BMI than those who did not. Moreover, those who took breakfast were found to be more physically active than those who skipped breakfast. CONCLUSION Since it was found that a regular consumption of breakfast, adequate sleep and exercise not only lowers BMI but also makes a person more physically fit. Therefore, it is recommended to start the day with a healthy breakfast having all the essential nutrients.

  16. Avoiding transthoracic echocardiography and transesophageal echocardiography for patients with variable body mass indexes in infective endocarditis

    Directory of Open Access Journals (Sweden)

    Robert Sogomonian

    2016-04-01

    Full Text Available Background: Echocardiography has been a popular modality used to aid in the diagnosis of infective endocarditis (IE with the modified Duke criteria. We evaluated the necessity between the uses of either a transthoracic echocardiography (TTE or transesophageal echocardiography (TEE in patients with a body mass index (BMI greater than or equal to 25 kg/m2 and less than 25 kg/m2. Methods: A single-centered, retrospective study of 198 patients between 2005 and 2012 diagnosed with IE based on modified Duke criteria. Patients, required to be above age 18, had undergone an echocardiogram study and had blood cultures to be included in the study. Results: Among 198 patients, two echocardiographic groups were evaluated as 158 patients obtained a TTE, 143 obtained a TEE, and 103 overlapped with TEE and TTE. Out of these patients, 167 patients were included in the study as 109 (65% were discovered to have native valve vegetations on TEE and 58 (35% with TTE. TTE findings were compared with TEE results for true negatives and positives to isolate valvular vegetations. Overall sensitivity of TTE was calculated to be 67% with a specificity of 93%. Patients were further divided into two groups with the first group having a BMI ≥25 kg/m2 and the subsequent group with a BMI <25 kg/m2. Patients with a BMI ≥25 kg/m2 who underwent a TTE study had a sensitivity and specificity of 54 and 92%, respectively. On the contrary, patients with a BMI < 25 kg/m2 had a TTE sensitivity and specificity of 78 and 95%, respectively. Conclusions: Patients with a BMI <25 kg/m2 and a negative TTE should refrain from further diagnostic studies, with TEE strong clinical judgment is warranted. Patients with a BMI ≥ 25 kg/m2 may proceed directly to TEE as the initial study, possibly avoiding an additional study with a TTE.

  17. Modulation of genetic associations with serum urate levels by body-mass-index in humans.

    Science.gov (United States)

    Huffman, Jennifer E; Albrecht, Eva; Teumer, Alexander; Mangino, Massimo; Kapur, Karen; Johnson, Toby; Kutalik, Zoltán; Pirastu, Nicola; Pistis, Giorgio; Lopez, Lorna M; Haller, Toomas; Salo, Perttu; Goel, Anuj; Li, Man; Tanaka, Toshiko; Dehghan, Abbas; Ruggiero, Daniela; Malerba, Giovanni; Smith, Albert V; Nolte, Ilja M; Portas, Laura; Phipps-Green, Amanda; Boteva, Lora; Navarro, Pau; Johansson, Asa; Hicks, Andrew A; Polasek, Ozren; Esko, Tõnu; Peden, John F; Harris, Sarah E; Murgia, Federico; Wild, Sarah H; Tenesa, Albert; Tin, Adrienne; Mihailov, Evelin; Grotevendt, Anne; Gislason, Gauti K; Coresh, Josef; D'Adamo, Pio; Ulivi, Sheila; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Kolcic, Ivana; Fisher, Krista; Viigimaa, Margus; Metter, Jeffrey E; Masciullo, Corrado; Trabetti, Elisabetta; Bombieri, Cristina; Sorice, Rossella; Döring, Angela; Reischl, Eva; Strauch, Konstantin; Hofman, Albert; Uitterlinden, Andre G; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J; Dalbeth, Nicola; Stamp, Lisa; Smit, Johannes H; Kirin, Mirna; Nagaraja, Ramaiah; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Farrington, Susan M; Theodoratou, Evropi; Jula, Antti; Salomaa, Veikko; Sala, Cinzia; Hengstenberg, Christian; Burnier, Michel; Mägi, Reedik; Klopp, Norman; Kloiber, Stefan; Schipf, Sabine; Ripatti, Samuli; Cabras, Stefano; Soranzo, Nicole; Homuth, Georg; Nutile, Teresa; Munroe, Patricia B; Hastie, Nicholas; Campbell, Harry; Rudan, Igor; Cabrera, Claudia; Haley, Chris; Franco, Oscar H; Merriman, Tony R; Gudnason, Vilmundur; Pirastu, Mario; Penninx, Brenda W; Snieder, Harold; Metspalu, Andres; Ciullo, Marina; Pramstaller, Peter P; van Duijn, Cornelia M; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J; Dunlop, Malcolm G; Wilson, James F; Gasparini, Paolo; Gyllensten, Ulf; Spector, Tim D; Wright, Alan F; Hayward, Caroline; Watkins, Hugh; Perola, Markus; Bochud, Murielle; Kao, W H Linda; Caulfield, Mark; Toniolo, Daniela; Völzke, Henry; Gieger, Christian; Köttgen, Anna; Vitart, Veronique

    2015-01-01

    We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

  18. Association Between Lateral Posterior Tibial Slope, Body Mass Index, and ACL Injury Risk

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    Bojicic, Katherine M.; Beaulieu, Mélanie L.; Imaizumi Krieger, Daniel Y.; Ashton-Miller, James A.; Wojtys, Edward M.

    2017-01-01

    Background: While body mass index (BMI), a modifiable parameter, and knee morphology, a nonmodifiable parameter, have been identified as risk factors for anterior cruciate ligament (ACL) rupture, the interaction between them remains unknown. An understanding of this interaction is important because greater compressive axial force (perhaps due to greater BMI) applied to a knee that is already at an increased risk because of its geometry, such as a steep lateral posterior tibial slope, could further increase the probability of ACL injury. Purpose: To quantify the relationship between BMI and select knee morphological parameters as potential risk factors for ACL injury. Study Design: Case-control study; Level of evidence, 3. Methods: Sagittal knee magnetic resonance imaging (MRI) files from 76 ACL-injured and 42 uninjured subjects were gathered from the University of Michigan Health System’s archive. The posterior tibial slope (PTS), middle cartilage slope (MCS), posterior meniscus height (PMH), and posterior meniscus bone angle (MBA) in the lateral compartment were measured using MRI. BMI was calculated from demographic data. The association between the knee structural factors, BMI, and ACL injury risk was explored using univariate and multivariate logistic regression. Results: PTS (P = .043) and MCS (P = .037) significantly predicted ACL injury risk. As PTS and MCS increased by 1°, odds of sustaining an ACL injury increased by 12% and 13%, respectively. The multivariate logistic regression analysis, which included PTS, BMI centered around the mean (cBMI), and their interaction, showed that this interaction predicted the odds of ACL rupture (P = .050; odds ratio, 1.03). For every 1-unit increase in BMI from the average that is combined with a 1° increase in PTS, the odds of an ACL tear increased by 15%. Conclusion: An increase in BMI was associated with increased risk of ACL tear in the presence of increased lateral posterior tibial slope. Larger values of PTS or

  19. FTO genotype is associated with phenotypic variability of body mass index.

    Science.gov (United States)

    Yang, Jian; Loos, Ruth J F; Powell, Joseph E; Medland, Sarah E; Speliotes, Elizabeth K; Chasman, Daniel I; Rose, Lynda M; Thorleifsson, Gudmar; Steinthorsdottir, Valgerdur; Mägi, Reedik; Waite, Lindsay; Smith, Albert Vernon; Yerges-Armstrong, Laura M; Monda, Keri L; Hadley, David; Mahajan, Anubha; Li, Guo; Kapur, Karen; Vitart, Veronique; Huffman, Jennifer E; Wang, Sophie R; Palmer, Cameron; Esko, Tõnu; Fischer, Krista; Zhao, Jing Hua; Demirkan, Ayşe; Isaacs, Aaron; Feitosa, Mary F; Luan, Jian'an; Heard-Costa, Nancy L; White, Charles; Jackson, Anne U; Preuss, Michael; Ziegler, Andreas; Eriksson, Joel; Kutalik, Zoltán; Frau, Francesca; Nolte, Ilja M; Van Vliet-Ostaptchouk, Jana V; Hottenga, Jouke-Jan; Jacobs, Kevin B; Verweij, Niek; Goel, Anuj; Medina-Gomez, Carolina; Estrada, Karol; Bragg-Gresham, Jennifer Lynn; Sanna, Serena; Sidore, Carlo; Tyrer, Jonathan; Teumer, Alexander; Prokopenko, Inga; Mangino, Massimo; Lindgren, Cecilia M; Assimes, Themistocles L; Shuldiner, Alan R; Hui, Jennie; Beilby, John P; McArdle, Wendy L; Hall, Per; Haritunians, Talin; Zgaga, Lina; Kolcic, Ivana; Polasek, Ozren; Zemunik, Tatijana; Oostra, Ben A; Junttila, M Juhani; Grönberg, Henrik; Schreiber, Stefan; Peters, Annette; Hicks, Andrew A; Stephens, Jonathan; Foad, Nicola S; Laitinen, Jaana; Pouta, Anneli; Kaakinen, Marika; Willemsen, Gonneke; Vink, Jacqueline M; Wild, Sarah H; Navis, Gerjan; Asselbergs, Folkert W; Homuth, Georg; John, Ulrich; Iribarren, Carlos; Harris, Tamara; Launer, Lenore; Gudnason, Vilmundur; O'Connell, Jeffrey R; Boerwinkle, Eric; Cadby, Gemma; Palmer, Lyle J; James, Alan L; Musk, Arthur W; Ingelsson, Erik; Psaty, Bruce M; Beckmann, Jacques S; Waeber, Gerard; Vollenweider, Peter; Hayward, Caroline; Wright, Alan F; Rudan, Igor; Groop, Leif C; Metspalu, Andres; Khaw, Kay Tee; van Duijn, Cornelia M; Borecki, Ingrid B; Province, Michael A; Wareham, Nicholas J; Tardif, Jean-Claude; Huikuri, Heikki V; Cupples, L Adrienne; Atwood, Larry D; Fox, Caroline S; Boehnke, Michael; Collins, Francis S; Mohlke, Karen L; Erdmann, Jeanette; Schunkert, Heribert; Hengstenberg, Christian; Stark, Klaus; Lorentzon, Mattias; Ohlsson, Claes; Cusi, Daniele; Staessen, Jan A; Van der Klauw, Melanie M; Pramstaller, Peter P; Kathiresan, Sekar; Jolley, Jennifer D; Ripatti, Samuli; Jarvelin, Marjo-Riitta; de Geus, Eco J C; Boomsma, Dorret I; Penninx, Brenda; Wilson, James F; Campbell, Harry; Chanock, Stephen J; van der Harst, Pim; Hamsten, Anders; Watkins, Hugh; Hofman, Albert; Witteman, Jacqueline C; Zillikens, M Carola; Uitterlinden, André G; Rivadeneira, Fernando; Zillikens, M Carola; Kiemeney, Lambertus A; Vermeulen, Sita H; Abecasis, Goncalo R; Schlessinger, David; Schipf, Sabine; Stumvoll, Michael; Tönjes, Anke; Spector, Tim D; North, Kari E; Lettre, Guillaume; McCarthy, Mark I; Berndt, Sonja I; Heath, Andrew C; Madden, Pamela A F; Nyholt, Dale R; Montgomery, Grant W; Martin, Nicholas G; McKnight, Barbara; Strachan, David P; Hill, William G; Snieder, Harold; Ridker, Paul M; Thorsteinsdottir, Unnur; Stefansson, Kari; Frayling, Timothy M; Hirschhorn, Joel N; Goddard, Michael E; Visscher, Peter M

    2012-10-11

    There is evidence across several species for genetic control of phenotypic variation of complex traits, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using ∼170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype), is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7%, corresponding to a difference of ∼0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI, possibly mediated by DNA methylation. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

  20. Low AMY1 Gene Copy Number Is Associated with Increased Body Mass Index in Prepubertal Boys

    Science.gov (United States)

    Verginelli, Fabio; De Lellis, Laura; Capelli, Cristian; Verzilli, Delfina; Chiarelli, Francesco; Mohn, Angelika; Cama, Alessandro

    2016-01-01

    Background Genome-wide association studies have identified more than 60 single nucleotide polymorphisms associated with Body Mass Index (BMI). Additional genetic variants, such as copy number variations (CNV), have also been investigated in relation to BMI. Recently, the highly polymorphic CNV in the salivary amylase (AMY1) gene, encoding an enzyme implicated in the first step of starch digestion, has been associated with obesity in adults and children. We assessed the potential association between AMY1 copy number and a wide range of BMI in a population of Italian school-children. Methods 744 children (354 boys, 390 girls, mean age (±SD): 8.4±1.4years) underwent anthropometric assessments (height, weight) and collection of saliva samples for DNA extraction. AMY1 copies were evaluated by quantitative PCR. Results A significant increase of BMI z-score by decreasing AMY1 copy number was observed in boys (β: -0.117, p = 0.033), but not in girls. Similarly, waist circumference (β: -0.155, p = 0.003, adjusted for age) was negatively influenced by AMY1 copy number in boys. Boys with 8 or more AMY1 copy numbers presented a significant lower BMI z-score (p = 0.04) and waist circumference (p = 0.01) when compared to boys with less than 8 copy numbers. Conclusions In this pediatric-only, population-based study, a lower AMY1 copy number emerged to be associated with increased BMI in boys. These data confirm previous findings from adult studies and support a potential role of a higher copy number of the salivary AMY1 gene in protecting from excess weight gain. PMID:27149670

  1. Impact of body mass index, age and varicocele on reproductive hormone profile from elderly men

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    K. G. R. Yamaçake

    2016-04-01

    Full Text Available ABSTRACT Objectives: To study the impact of obesity, age and varicocele on sexual hormones fof adult and elderly men. Materials and Methods: 875 men who were screened for prostate cancer were enrolled in this study. Data recorded comprised age, body mass index (BMI, serum levels of total testosterone (TT, free testosterone (FT, sex hormone-binding globulin (SHBG, luteinizing hormone (LH and follicular stimulating hormone (FSH. Patients were divided in groups according to their BMI in underweight, normal weight, overweight and obese grades 1, 2 or 3. First, it was studied the association between age, BMI, and hormone profile. Then, clinical varicocele was evaluated in 298 patients to assess its correlation to the others parameters. Results: Obese patients had lower levels of TT, FT and SHBG (p<0.001 compared to underweight or normal weight patients. There were no differences in age (p=0.113, FSH serum levels (p=0.863 and LH serum levels (p=0.218 between obese and non-obese patients. Obese grade 3 had lower levels of TT and FT compared to obese grade 1 and 2 (p<0.05. There was no difference in the SHBG levels (p=0.120 among obese patients. There was no association between varicocele and BMI; and varicocele did not impact on testosterone or SHBG levels. Conclusions: Men with higher BMI have a lower serum level of TT, FT and SHBG. The presence of clinical varicocele as well as its grade has no impact on hormone profile in elderly men.

  2. Original Research Body Mass Index is a Poor Predictor of Bedside Appendix Ultrasound Success or Accuracy

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    Samuel H.F. Lam

    2016-06-01

    Full Text Available Introduction: The objective of this study was to determine whether there is a relationship between body mass index (BMI and success or accuracy rate of beside ultrasound (BUS for the diagnosis of appendicitis. Methods: Patients four years of age and older presenting to the emergency department with suspected appendicitis were eligible. Enrollment was by convenience sampling. After informed consent, BUS was performed by trained emergency physicians who had undergone a minimum of one-hour didactic training on the use of BUS to diagnose appendicitis. We ascertained subject outcomes by a combination of medical record review and telephone follow up. Calculated BMI for adults and children were divided into four categories (underweight, normal, overweight, obese according to Centers for Disease Control and Prevention classifications. Results: A total of 125 subjects consented for the study, and 116 of them had adequate image data for final analysis. Seventy (60% of the subjects were children. Prevalence of appendicitis was 39%. Fifty-two (45% of the BUS studies were diagnostic (successful. Overall accuracy rate was 75%. Analysis by chi-square test or Mann-Whitney U test did not find any significant correlation between BMI category and BUS success. Similarly, there was no significant correlation between BMI category and BUS accuracy. The same conclusion was reached when children and adults were analyzed separately, or when subjects were dichotomized into underweight/ normal and overweight/ obese categories. Conclusion: BMI category alone is a poor predictor of appendix BUS success or accuracy. [West J Emerg Med. 2016;17(4454-459.

  3. Low AMY1 Gene Copy Number Is Associated with Increased Body Mass Index in Prepubertal Boys.

    Directory of Open Access Journals (Sweden)

    M Loredana Marcovecchio

    Full Text Available Genome-wide association studies have identified more than 60 single nucleotide polymorphisms associated with Body Mass Index (BMI. Additional genetic variants, such as copy number variations (CNV, have also been investigated in relation to BMI. Recently, the highly polymorphic CNV in the salivary amylase (AMY1 gene, encoding an enzyme implicated in the first step of starch digestion, has been associated with obesity in adults and children. We assessed the potential association between AMY1 copy number and a wide range of BMI in a population of Italian school-children.744 children (354 boys, 390 girls, mean age (±SD: 8.4±1.4years underwent anthropometric assessments (height, weight and collection of saliva samples for DNA extraction. AMY1 copies were evaluated by quantitative PCR.A significant increase of BMI z-score by decreasing AMY1 copy number was observed in boys (β: -0.117, p = 0.033, but not in girls. Similarly, waist circumference (β: -0.155, p = 0.003, adjusted for age was negatively influenced by AMY1 copy number in boys. Boys with 8 or more AMY1 copy numbers presented a significant lower BMI z-score (p = 0.04 and waist circumference (p = 0.01 when compared to boys with less than 8 copy numbers.In this pediatric-only, population-based study, a lower AMY1 copy number emerged to be associated with increased BMI in boys. These data confirm previous findings from adult studies and support a potential role of a higher copy number of the salivary AMY1 gene in protecting from excess weight gain.

  4. AKRs expression in peripheral blood lymphocytes from smokers: the role of body mass index.

    Science.gov (United States)

    Barrón-Vivanco, B S; Rothenberg, S J; Medina-Díaz, I M; Robledo-Marenco, L; Rojas-García, A E; Hernández-Cadena, L; Poblete-Naredo, I; Elizondo, G; Albores, A

    2013-04-01

    Aldo-keto reductases (AKRs) metabolize a wide range of substrates, including polycyclic aromatic hydrocarbons (PAHs), generating metabolites (o-quinones) and reactive oxygen species (ROS), which are capable of initiating and promoting carcinogenesis. Exposure to PAHs, their metabolites, and ROS further increase AKRs isoform expression that may amplify oxidative damage. Human AKR enzymes are highly polymorphic, and allelic variants may contribute to different AKRs expression in individuals. Despite the importance of AKRs in PAHs metabolism, there are no studies that evaluate, in general human populations, the effect of PAHs on AKRs expression in peripheral blood lymphocytes (PBLs). The aim of this study was to determine the effect of tobacco smoke exposure, and AKR1A1*2 and AKR1C3*2 polymorphisms, on AKR1A1 and AKR1C1-AKR1C3 messenger RNA (mRNA) levels in PBLs from smokers. In the smoker group, there is a statistically significant positive association between AKR1A1, AKR1C1, and AKR1C3 mRNA induction and urine cotinine levels in individuals with a body mass index (BMI) less than 25. However, AKR1A1*2 and AKR1C3*2 alleles did not influence AKR1A1 and AKR1C1-AKR1C3 mRNA levels. These results suggest that AKRs induction by PAHs in smokers' PBLs is associated with BMI; therefore, the role of adipose tissue accumulation in PAHs' effects needs further investigation.

  5. Serum 25-hydroxyvitamin D is inversely associated with body mass index in cancer

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    Braun Donald P

    2011-05-01

    Full Text Available Abstract Background The association between vitamin D deficiency and obesity in healthy populations and different disease states remains unsettled with studies reporting conflicting findings. Moreover, current dietary recommendations for vitamin D do not take into account a person's body mass index (BMI. We investigated the relationship between serum 25-hydroxy-vitamin D [25(OHD] and BMI in cancer. Methods A consecutive case series of 738 cancer patients. Serum 25(OHD was measured at presentation to the hospital. The cohort was divided into 4 BMI groups (underweight: 30.0 kg/m2. Mean 25(OHD was compared across the 4 BMI groups using ANOVA. Linear regression was used to quantify the relationship between BMI and 25(OHD. Results 303 were males and 435 females. Mean age at diagnosis was 55.6 years. The mean BMI was 27.9 kg/m2 and mean serum 25(OHD was 21.9 ng/ml. Most common cancers were lung (134, breast (131, colorectal (97, pancreas (86 and prostate (45. Obese patients had significantly lower serum 25(OHD levels (17.9 ng/ml as compared to normal weight (24.6 ng/ml and overweight (22.8 ng/ml patients; p 2 increase in BMI was significantly associated with 0.42 ng/ml decline in serum 25(OHD levels. Conclusions Obese cancer patients (BMI >= 30 kg/m2 had significantly lower levels of serum 25(OHD as compared to non-obese patients (BMI 2. BMI should be taken into account when assessing a patient's vitamin D status and more aggressive vitamin D supplementation should be considered in obese cancer patients.

  6. Interleukin-6-related genotypes, body mass index, and risk of multiple myeloma and plasmacytoma.

    Science.gov (United States)

    Cozen, Wendy; Gebregziabher, Mulugeta; Conti, David V; Van Den Berg, David J; Coetzee, Gerhard A; Wang, Sophia S; Rothman, Nathaniel; Bernstein, Leslie; Hartge, Patricia; Morhbacher, Ann; Coetzee, Simon G; Salam, Muhammad T; Wang, Wei; Zadnick, John; Ingles, Sue A

    2006-11-01

    Interleukin-6 (IL-6) promotes normal plasma cell development and proliferation of myeloma cells in culture. We evaluated IL-6 genotypes and body mass index (BMI) in a case-control study of multiple myeloma and plasmacytoma. DNA samples and questionnaires were obtained from incident cases of multiple myeloma (n = 134) and plasmacytoma (n = 16; plasma cell neoplasms) ascertained from the Los Angeles County population-based cancer registry and from siblings or cousins of cases (family controls, n = 112) and population controls (n = 126). Genotypes evaluated included IL-6 promoter gene single nucleotide polymorphisms (SNP) at positions -174, -572, and -597; one variable number of tandem repeats (-373 A(n)T(n)); and one SNP in the IL-6 receptor (IL-6ralpha) gene at position -358. The variant allele of the IL-6 promoter SNP -572 was associated with a roughly 2-fold increased risk of plasma cell neoplasms when cases were compared with family [odds ratio (OR), 1.8; 95% confidence interval (95% CI), 0.7-4.7] or population controls (OR, 2.4; 95% CI, 1.2-4.7). The -373 9A/9A genotype was associated with a decreased risk compared with the most common genotype (OR for cases versus family controls, 0.4; 95% CI, 0.1-1.7; OR for cases versus population controls, 0.3; 95% CI, 0.1-0.9). No other SNPs were associated with risk. Obesity (BMI >or= 30 kg/m(2)) increased risk nonsignificantly by 40% and 80% when cases were compared with family controls or population controls, respectively, relative to persons with a BMI of <25 kg/m(2). These results suggest that IL-6 promoter genotypes may be associated with increased risk of plasma cell neoplasms.

  7. Relation between body mass index and depression: a structural equation modeling approach

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    Akhtar-Danesh Noori

    2007-04-01

    Full Text Available Abstract Background Obesity and depression are two major diseases which are associated with many other health problems such as hypertension, dyslipidemia, diabetes mellitus, coronary heart disease, stroke, myocardial infarction, heart failure in patients with systolic hypertension, low bone mineral density and increased mortality. Both diseases share common health complications but there are inconsistent findings concerning the relationship between obesity and depression. In this work we used the structural equation modeling (SEM technique to examine the relation between body mass index (BMI, as a proxy for obesity, and depression using the Canadian Community Health Survey, Cycle 1.2. Methods In this SEM model we postulate that 1 BMI and depression are directly related, 2 BMI is directly affected by the physical activity and, 3depression is directly influenced by stress. SEM was also used to assess the relation between BMI and depression separately for males and females. Results The results indicate that higher BMI is associated with more severe form of depression. On the other hand, the more severe form of depression may result in less weight gain. However, the association between depression and BMI is gender dependent. In males, the higher BMI may result in a more severe form of depression while in females the relation may not be the same. Also, there was a negative relationship between physical activity and BMI. Conclusion In general, use of SEM method showed that the two major diseases, obesity and depression, are associated but the form of the relation is different among males and females. More research is necessary to further understand the complexity of the relationship between obesity and depression. It also demonstrated that SEM is a feasible technique for modeling the relation between obesity and depression.

  8. Association of Body Mass Index to Onset of Puberty in Male

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    Jeevithaambigai Subramaniam

    2016-03-01

    Full Text Available Background: Puberty is the period where the developmental process takes place, marks the transition from childhood to adulthood with physical and physiological changes. This study was conducted to discover association between body mass index (BMI and onset of puberty in male. Methods: A cross-sectional study was conducted from May to November 2013 using simple random sampling which was part of bigger research study by Nutrition and Metabolism Working Group on Jatinangor Cohort, especially Puberty Survey in Jatinangor, by Department of Epidemiology and Biostatistics Faculty of Medicine Universitas Padjadjaran. Respondents were 286 males, 9–15 years old from Elementary School (Sekolah Dasar/SD and Junior High School (Sekolah Menengah Pertama/SMP. Inclusion criteria were students who are healthy at the time and do did not have obvious disease, attained puberty within 1 year or did not yet attained it, and voluntarily followed the study procedure. The questionnaire was provided after getting informed consent from the respondents. The data analysis was done conducted using Pearson Correlation. Results: The magnitude of association of BMI to the onset of puberty in male among school students in Jatinangor was 0.243 which showed there was positive correlation coefficient between BMI to onset of puberty in male. Test results with the t-test showed t-value of 2.683 with p-value of 0.008. Conclusions: There is association of BMI to the onset of puberty in male among school students in Jatinangor. Positive correlation indicates that the higher the BMI, the faster the onset of puberty in male.

  9. Relationship of age, body mass index, wrist and waist circumferences to carpal tunnel syndrome severity.

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    Komurcu, Hatice Ferhan; Kilic, Selim; Anlar, Omer

    2014-01-01

    Carpal tunnel syndrome (CTS) has a multifactorial etiology involving systemic, anatomical, idiopathic, and ergonomic characteristics. In this study, an investigation of the relationship between the CTS degree established by electrophysiological measurements in patients with clinical CTS prediagnosis, and age, gender, body mass index (BMI), hand wrist circumference, and waist circumference measurements has been done. On 547 patients included in the study, motor and sensory conduction examinations of the median and ulnar nerve were done on one or two upper extremities thought to have CTS. In terms of CTS severity, the patients were divided into four groups (normal, mild, medium, and severe CTS). A total of 843 electrophysiological examinations were done consisting of 424 on the right hand wrist and 419 on the left hand wrist. When the age group of 18-35 years is taken as the reference group, the CTS development risk independent of BMI has been found to have increased by a factor of 1.86 for ages 36-64 years, and by 4.17 for ages 65 years and higher after adjustment for BMI. With respect to normal degree CTS group, the BMI were significantly different in groups with mild, medium, and severe CTS. The waist circumferences of groups with mild, medium, and severe CTS severity were found to be significantly higher in comparison to the normal reference group. When this value was corrected with BMI and re-examined the statistically significant differences persisted. The study identified a significant relationship between the CTS severity and age, BMI, waist circumference.

  10. Can body mass index help predict outcome in patients with bipolar disorder?

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    Calkin, Cynthia; van de Velde, Caroline; Růžičková, Martina; Slaney, Claire; Garnham, Julie; Hajek, Tomas; O’Donovan, Claire; Alda, Martin

    2013-01-01

    Objective Several studies have reported higher prevalence of obesity in patients suffering from bipolar disorder (BD). To study the relation of elevated body mass index (BMI) in patients with BD more closely, we investigated differences in sociodemographic, clinical, and medical characteristics with respect to BMI, with the hypothesis that BMI is related to prognosis and outcome. Methods We measured the BMI of 276 subjects of a tertiary care sample from the Maritime Bipolar Registry. Subjects were 16 to 83 years old, with psychiatric diagnoses of bipolar I disorder (n = 186), bipolar II disorder (n = 85), and BD not otherwise specified (n = 5). The registry included basic demographic data and details of the clinical presentation. We first examined the variables showing a significant association with BMI; subsequently, we modeled the relationship between BMI and psychiatric outcome using structural equation analysis. Results The prevalence of obesity in our sample was 39.1%. We found higher BMI in subjects with a chronic course (p < 0.001) and longer duration of illness (p = 0.02), lower scores on the Global Assessment of Functioning Scale (p = 0.02), and on disability (p = 0.002). Overweight patients had more frequent comorbid subthreshold social (p = 0.02) and generalized anxiety disorders (p = 0.05), diabetes mellitus type II (p < 0.001), and hypertension (p = 0.001). Subjects who achieved complete remission of symptoms on lithium showed significantly lower BMI (p = 0.01). Conclusions Our findings suggest that BMI is associated with the prognosis and outcome of BD. Whether this association is causal remains to be determined. PMID:19689507

  11. Modulation of genetic associations with serum urate levels by body-mass-index in humans.

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    Jennifer E Huffman

    Full Text Available We tested for interactions between body mass index (BMI and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8. Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8, a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8, regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4. Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

  12. Effect of Body Mass Index on the Outcome of Children with Acute Myeloid Leukemia

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    Inaba, Hiroto; Surprise, Harriet C.; Pounds, Stanley; Cao, Xueyuan; Howard, Scott C.; Ringwald-Smith, Karen; Buaboonnam, Jassada; Dahl, Gary; Bowman, W. Paul; Taub, Jeffrey W.; Campana, Dario; Pui, Ching-Hon; Ribeiro, Raul C.; Rubnitz, Jeffrey E.

    2012-01-01

    BACKGROUND The effect of body mass index (BMI) on treatment outcome of children with acute myeloid leukemia (AML) is unclear and needs further evaluation. METHODS Children with AML (n=314) enrolled in 4 consecutive St. Jude protocols were grouped according to BMI (underweight, <5th percentile; healthy weight, 5th to 85th percentile; and overweight/obese, ≥ 85th percentile). RESULTS Twenty-five (8.0%) patients were underweight, 86 (27.4%) overweight/obese, and 203 (64.6%) had healthy weight. Five-year overall survival of overweight/obese patients (46.5±7.3%) was lower than that of patients with healthy weight (67.1±4.3%, P < .001); underweight patients also tended to have lower survival rates (50.6±10.7%, P = .18). In a multivariable analysis adjusting for age, leukocyte count, FAB type, and study protocols, patients with healthy weight had the best survival rate among the 3 groups (P = .01). When BMI was considered as continuous variable, patients with lower or higher BMI percentiles had worse survival (P = .03). There was no difference in the occurrence of induction failure or relapse among BMI groups but underweight and overweight/obese patients had a significantly higher cumulative incidence of treatment-related mortality, especially due to infection (P = .009). CONCLUSIONS An unhealthy BMI is associated with worse survival and more treatment-related mortality in children with AML. Meticulous supportive care, with nutritional support and education, infection prophylaxis, and detailed laboratory and physical examination is required for these patients. These measures, together with pharmacokinetics-guided chemotherapy dosing may improve outcome. PMID:22648558

  13. Family history, body mass index and survival in Japanese patients with stomach cancer: a prospective study.

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    Minami, Yuko; Kawai, Masaaki; Fujiya, Tsuneaki; Suzuki, Masaki; Noguchi, Tetsuya; Yamanami, Hideaki; Kakugawa, Yoichiro; Nishino, Yoshikazu

    2015-01-15

    Family history and nutritional status may affect the long-term prognosis of stomach cancer, but evidence is insufficient and inconsistent. To clarify the prognostic factors of stomach cancer, we conducted a prospective study of 1,033 Japanese patients with histologically confirmed stomach cancer who were admitted to a single hospital between 1997 and 2005. Family history of stomach cancer and pretreatment body mass index (BMI) were assessed using a self-administered questionnaire. Clinical data were retrieved from a hospital-based cancer registry. All patients were completely followed up until December, 2008. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated according to family history in parents and siblings and BMI category. During a median follow-up of 5.3 years, 403 all-cause and 279 stomach cancer deaths were documented. Although no association with family history was observed in the patients overall, analysis according to age group found an increased risk of all-cause death associated with a history in first degree relatives (HR = 1.61, 95% CI: 0.93-2.78, p = 0.09) and with a parental history (HR = 1.86, 95% CI: 1.06-3.26) among patients aged under 60 years at diagnosis. BMI was related to all-cause and stomach cancer death among patients aged 60 and over, showing a J-shaped pattern (HR of all-cause death = 2.28 for BMI stomach cancer, especially parental history, may affect mortality among younger stomach cancer patients, whereas nutritional status may be a prognostic factor in older patients.

  14. Correlation between body mass index and overactive bladder symptoms in pre-menopausal women

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    Thais Palma

    2014-01-01

    Full Text Available Objective: The aim of the study was to establish a correlation between Overactive Bladder (OAB symptoms and Body Mass Index (BMI in women aged 20-45. Methods: We interviewed 1.050 women aged 20-45 in the area of Campinas, Brazil, to investigate the prevalence of overactive bladder symptoms. In this study, we used the ICIQ-OAB questionnaire (ICS standard, in its validated portuguese version and a specific questionnaire for the demographics, which includes information about BMI. Results: Overall, women with BMI ≥30 presented a significantly higher score than women with a lower BMI (18.5 - 24.9 (p=0.0066. In the analysis of individual symptoms, no significant differences were found regarding urinary frequency (p=0.5469. Women with BMI ≥30 presented more nocturia than women with BMI ranging between 18.5 and 24.9 (p=0.0154. Women in the group of BMI 25 - 29.9 presented more urgency than women with BMI 18.5 - 24.9 (p=0.0278. Significant difference was also found regarding urge-incontinence; women with BMI 25 - 29.9 presented a higher score than women in the group 18.5 - 24.9 (p= 0.0017. Analysis was also performed on the visual analogue scale regarding how much each symptom bothers the women (quality of life. There were no significant differences regarding frequency, nocturia or urgency but urgency incontinence bother was significant. Women with BMI 25 - 29.9 were more bothered by incontinence than women with BMI 18.5 - 24.9 (p=0.002. Conclusion: In conclusion, this study reinforces the correlation between BMI and OAB symptoms. Obese women present more OAB symptoms than non-obese women.

  15. Effect of Body Mass Index on Blood Transfusion in Total Hip and Knee Arthroplasty.

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    Frisch, Nicholas; Wessell, Nolan M; Charters, Michael; Peterson, Ed; Cann, Brett; Greenstein, Alex; Silverton, Craig D

    2016-09-01

    Perioperative blood management remains a challenge during total hip arthroplasty (THA) and total knee arthroplasty (TKA). The purpose of this study was to systematically examine the relationship between body mass index (BMI) and perioperative blood transfusion during THA and TKA while attempting to resolve conflicting results in previously published studies. The authors retrospectively evaluated 2399 patients, 896 of whom underwent THA and 1503 of whom underwent TKA. Various outcome variables were assessed for their relationship to BMI, which was stratified using the World Health Organization classification scheme (normal, 30 kg/m(2)). Among patients undergoing THA, transfusion rates were 34.8%, 27.6%, and 21.9% for normal, overweight, and obese patients, respectively (P=.002). Among patients undergoing TKA, transfusion rates were 17.3%, 11.4%, and 8.3% for normal, overweight, and obese patients, respectively (P=.002). Patients with an elevated BMI have decreased rates of blood transfusion following both THA and TKA. This same cohort also loses a significantly decreased percentage of estimated blood volume. No trends were identified for a relationship between BMI and deep venous thrombosis, pulmonary embolism, myocardial infarction, discharge location, length of stay, 30-day readmission rate, and preoperative hemoglobin level. Elevated BMI was significantly associated with increased estimated blood loss in patients undergoing THA and those undergoing TKA. There was a statistically significant trend toward increased deep surgical-site infection in patients undergoing THA (P=.043). Patients with increased BMI have lower rates of blood transfusion and lose a significantly smaller percentage of estimated blood volume following THA and TKA. [Orthopedics.2016; 39(5):e844-e849.].

  16. Impact of increasing social media use on sitting time and body mass index.

    Science.gov (United States)

    Alley, Stephanie; Wellens, Pauline; Schoeppe, Stephanie; de Vries, Hein; Rebar, Amanda L; Short, Camille E; Duncan, Mitch J; Vandelanotte, Corneel

    2016-10-28

    Issue addressed: Sedentary behaviours, in particular sitting, increases the risk of cardiovascular disease, type 2 diabetes, obesity and poorer mental health status. In Australia, 70% of adults sit for more than 8h per day. The use of social media applications (e.g. Facebook, Twitter, and Instagram) is on the rise; however, no studies have explored the association of social media use with sitting time and body mass index (BMI).Methods: Cross-sectional self-report data on demographics, BMI and sitting time were collected from 1140 participants in the 2013 Queensland Social Survey. Generalised linear models were used to estimate associations of a social media score calculated from social media use, perceived importance of social media, and number of social media contacts with sitting time and BMI.Results: Participants with a high social media score had significantly greater sitting times while using a computer in leisure time and significantly greater total sitting time on non-workdays. However, no associations were found between social media score and sitting to view TV, use motorised transport, work or participate in other leisure activities; or total workday, total sitting time or BMI.Conclusions: These results indicate that social media use is associated with increased sitting time while using a computer, and total sitting time on non-workdays.So what?: The rise in social media use may have a negative impact on health by contributing to computer sitting and total sitting time on non-workdays. Future longitudinal research with a representative sample and objective sitting measures is needed to confirm findings.

  17. Does body mass index (BMI) influence the Ankylosing Spondylitis Disease Activity Score in axial spondyloarthritis?

    Science.gov (United States)

    Rubio Vargas, Roxana; van den Berg, Rosaline; van Lunteren, Miranda; Ez-Zaitouni, Zineb; Bakker, Pauline A C; Dagfinrud, Hanne; Ramonda, Roberta; Landewé, Robert; Molenaar, Esmeralda; van Gaalen, Floris A; van der Heijde, Désirée

    2016-01-01

    Objective Obesity is associated with elevated C reactive protein (CRP) levels. The Ankylosing Spondylitis Disease Activity Score (ASDAS) combines patient-reported outcomes (PROs) and CRP. We evaluated the effect of body mass index (BMI) on CRP and on ASDAS, and studied if ASDAS can be used in obese axial spondyloarthritis (axSpA) patients to assess disease activity. Methods Baseline data of patients with chronic back pain of short duration included in the SPondyloArthritis Caught Early (SPACE) cohort were used. Collected data included BMI and ASDAS. Patients were classified according to the ASAS axSpA classification criteria and BMI (overweight ≥25 and obese ≥30). Correlation and linear regression analyses were performed to assess the relation between BMI and ASDAS. Linear regression models were performed to assess if age or gender were effect modifiers in the relation between BMI and CRP, and between BMI and ASDAS. Results In total, 428 patients were analysed (n=168 axSpA; n=260 no-axSpA). The mean age was 31.1 years, 36.9% were male, 26.4% were overweight and 13.3% obese, median CRP was 3 mg/L and the mean ASDAS was 2.6. Gender was the only factor modifying the relationship between BMI and CRP as BMI had an influence on CRP only in females (β=0.35; p<0.001). Correlations between BMI and CRP or PROs were generally weak, and only significant for CRP in female patients. BMI was not related to ASDAS in axSpA patients. Conclusions ASDAS is not affected by BMI in axSpA patients. Therefore, based on our data it is not necessary to take BMI in consideration when assessing disease activity using ASDAS in axSpA patients. PMID:27403336

  18. Value of waist circumference, body mass index and hyperinsulinaemia in identifying metabolic syndrome

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    Hui TIAN; Jingfang SUN; Changyu PAN; Juming LU; Jingtao DOU; Fangling MA; Xiaoman ZHOU; Fusheng FANG; Yinghong SHAO; Chunlin LI; Jian LI; Xiutang CAO; Shuangtong YAN; Wenwen ZHONG; Yanyan LI

    2008-01-01

    To investigate the significance of waist circum-ference (WC), body mass index (BMI) and hyperinsuli-naemia A (Hlns) in evaluating metabolic syndrome (MS). Clinical data from middle-aged and senile indivi-duals (middle-senile group) who received glucose tol-erance test after diabetes mellitus screening and a group of subjects who received annual oral glucose tolerance test (OGTT) for diabetes mellitus screening (adult group) were collected. Data were collected by use of special mes-sengers, input into a computer data base and analyzed using SAS 5.0 software by expert staff. Abnormal WC and BMI were determined according to International Diabetes Federation (IDF) and Chinese Diabetes Society (CDS) criteria. Hlns was ascertained if fasting insulin (Fins)≥15 mU/L, and/or 2-hour insulin after a glucose challenge was (2hPIns)≥80 mU/L. Abnorma-lities in WC, BMI and Hlns were all found to be risk factors for abnormal glucose metabolism, hypertension and dyslipidemia. In the middle-senile group, the abnor-mality rate of WC and Hlns as well as the overall insulin level were significantly higher than those in the adult group. The abnormality rate of BMI was higher in the adult group, and HIns was mostly seen in impaired glu-cose test (IGT) and normal glucose test (NGT). The con-cordance rate of WC and BMI diagnostic criteria for evaluating obesity in the middle-senile and adult groups were 77.5% and 74.3%, respectively. When only the WC criterion was used for evaluating the existence of insulin resistance, there was a 28.2% missed diagnosis rate for MS patients. WC, BMI and Hlns were all risk factors for abnormal glucose metabolism, hypertension and dyslipi-demia. There was differing prevalence in the different populations. The combination of WC, BMI and Hlnsmight be more helpful in identifying MS at early stage.

  19. Assessment of respiratory muscle strength in children according to the classification of body mass index

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    George Jung da Rosa

    2014-06-01

    Full Text Available OBJECTIVE: To assess and compare the respiratory muscle strength among eutrophic, overweight and obese school children, as well as to identify anthropometric and respiratory variables related to the results.METHODS: Cross-sectional survey with healthy schoolchildren aged 7-9 years old, divided into three groups: Normal weight, Overweight and Obese. The International Study of Asthma and Allergies in Childhood (ISAAC questionnaire was applied. The body mass index (BMI was evaluated, as well as the forced expiratory volume in one second (FEV1 with a portable digital device. The maximal inspiratory and expiratory pressures (MIP and MEP were measured by a digital manometer. Comparisons between the groups were made by Kruskal-Wallis test. Spearman's correlation coefficient was used to analyze the correlations among the variables.RESULTS: MIP of eutrophic school children was higher than MIP found in overweight (p=0.043 and obese (p=0.013 children. MIP was correlated with BMI percentile and weight classification (r=-0.214 and r=-0.256 and MEP was correlated with height (r=0.328. Both pressures showed strong correlation with each other in all analyses (r≥0.773, and less correlation with FEV1 (MIP - r=0.362 and MEP - r=0.494. FEV1 correlated with MEP in all groups (r: 0.429 - 0.569 and with MIP in Obese Group (r=0.565. Age was correlated with FEV1 (r=0.578, MIP (r=0.281 and MEP (r=0.328.CONCLUSIONS: Overweight and obese children showed lower MIP values, compared to eutrophic ones. The findings point to the influence of anthropometric variables on respiratory muscle strength in children.

  20. Longitudinal association of body mass index with lung function: The CARDIA Study

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    Barr R Graham

    2008-04-01

    Full Text Available Abstract Background Lung function at the end of life depends on its peak and subsequent decline. Because obesity is epidemic in young adulthood, we quantified age-related changes in lung function relative to body mass index (BMI. Methods The Coronary Artery Risk Development in Young Adults (CARDIA study in 1985–86 (year 0 recruited 5,115 black and white men and women, aged 18–30. Spirometry testing was conducted at years 0, 2, 5 and 10. We estimated 10 year change in FVC, FEV1 and FEV1/FVC according to baseline BMI and change in BMI within birth cohorts with initial average ages 20, 24, and 28 years, controlling for race, sex, smoking, asthma, physical activity, and alcohol consumption. Measurements and Main Results Participants with baseline BMI 2 experienced 10 year increases of 71 ml in FVC and 60 ml in FEV1 and neither measure declined through age 38. In contrast, participants with baseline BMI ≥ 26.4 kg/m2 experienced 10 year decreases of 185 ml in FVC and 64 ml in FEV1. FEV1/FVC increased with increasing BMI. Weight gain was also associated with lung function. Those who gained the most weight over 10 years had the largest decrease in FVC, but FVC increased with weight gain in those initially thinnest. In contrast, FEV1 decreased with increasing weight gain in all participants, with maximum decline in obese individuals who gained the most weight during the study. Conclusion Among healthy young adults, increasing BMI in the initially thin participants was associated with increasing then stable lung function through age 38, but there were substantial lung function losses with higher and increasing fatness. These results suggest that the obesity epidemic threatens the lung health of the general population.

  1. Mendelian randomization study of body mass index and colorectal cancer risk

    Science.gov (United States)

    Thrift, Aaron P.; Gong, Jian; Peters, Ulrike; Chang-Claude, Jenny; Rudolph, Anja; Slattery, Martha L.; Chan, Andrew T.; Locke, Adam E.; Kahali, Bratati; Justice, Anne E.; Pers, Tune H.; Gallinger, Steven; Hayes, Richard B; Baron, John A.; Caan, Bette J.; Ogino, Shuji; Berndt, Sonja I.; Chanock, Stephen J.; Casey, Graham; Haile, Robert W.; Du, Mengmeng; Harrison, Tabitha A.; Thornquist, Mark; Duggan, David J.; Le Marchand, Loïc; Lindor, Noralane M.; Seminara, Daniela; Song, Mingyang; Wu, Kana; Thibodeau, Stephen N.; Cotterchio, Michelle; Win, Aung Ko; Jenkins, Mark A.; Hopper, John L.; Ulrich, Cornelia M.; Potter, John D.; Newcomb, Polly A.; Hoffmeister, Michael; Brenner, Hermann; White, Emily; Hsu, Li; Campbell, Peter T.

    2015-01-01

    Background High body mass index (BMI) is consistently linked to increased risk of colorectal cancer (CRC) for men, whereas the association is less clear for women. As risk estimates from observational studies may be biased and/or confounded, we conducted a Mendelian randomization study to estimate the causal association between BMI and CRC. Methods We used data from 10,226 CRC cases and 10,286 controls of European ancestry. The Mendelian randomization analysis used a weighted genetic risk score, derived from 77 genome-wide association study identified variants associated with higher BMI, as an instrumental variable (IV). We compared the IV odds ratio (IV-OR) with the OR obtained using a conventional covariate-adjusted analysis. Results Individuals carrying greater numbers of BMI-increasing alleles had higher CRC risk (per weighted allele OR, 1.31; 95% confidence interval [CI], 1.10–1.57). Our IV estimation results support the hypothesis that genetically influenced BMI is directly associated with risk for CRC (IV-OR per 5 kg/m2, 1.50; 95% CI, 1.13–2.01). In the sex-specific IV analyses higher BMI was associated with higher risk of CRC among women (IV-OR per 5 kg/m2, 1.82; 95% CI, 1.26–2.61). For men, genetically influenced BMI was not associated with CRC (IV-OR per 5 kg/m2, 1.18; 95% CI, 0.73–1.92). Conclusions High BMI was associated with increased CRC risk for women. Whether abdominal obesity, rather than overall obesity, is a more important risk factor for men requires further investigation. Impact Overall, conventional epidemiologic and Mendelian randomization studies suggest a strong association between obesity and the risk of CRC. PMID:25976416

  2. From infancy to pregnancy: birth weight, body mass index, and the risk of gestational diabetes.

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    Lagerros, Ylva Trolle; Cnattingius, Sven; Granath, Fredrik; Hanson, Ulf; Wikström, Anna-Karin

    2012-10-01

    Obesity is a risk factor for gestational diabetes, whereas the role of the mother's birth weight is more uncertain. We aimed to investigate the combined effect of mothers' birth-weight-for-gestational-age and early pregnancy Body Mass Index (BMI) in relation to risk of gestational diabetes. Between 1973 and 2006, we identified a cohort of 323,083 women included in the Swedish Medical Birth Register both as infants and as mothers. Main exposures were mothers' birth-weight-for-gestational-age (categorized into five groups according to deviation from national mean birth weight) and early pregnancy BMI (classified according to WHO). Rates of gestational diabetes increased with adult BMI, independently of birth-weight-for-gestational-age. However, compared to women with appropriate birth-weight-for-gestational-age [appropriate-for-gestational age (AGA); -1 to +1 SD] and BMI (born small-for-gestational-age [small for gestational age (SGA); born large-for-gestational-age [large-for-gestational-age (LGA); >2SD], and OR = 10.4 (95 % CI 8.4-13.0) if born AGA. Risk of gestational diabetes is not only increased among obese women, but also among women born SGA and LGA. Severely obese women born with a low or a high birth-weight-for-gestational-age seem more vulnerable to the development of gestational diabetes compared to normal weight women. Normal pre-pregnancy BMI diminishes the increased risk birth size may confer in terms of gestational diabetes. Therefore, the importance of keeping a healthy weight cannot be overemphasized.

  3. Twenty-five year trends in body mass index by education and income in Finland

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    Prättälä Ritva

    2012-10-01

    Full Text Available Abstract Background The socioeconomic gradient in obesity and overweight is amply documented. However, the contribution of different socioeconomic indicators on trends of body mass index (BMI over time is less well known. The aim of this study was to investigate the associations of education and income with (BMI from the late 1970s to the early 2000s. Methods Data were derived from nationwide cross-sectional health behaviour surveys carried out among Finns annually since 1978. This study comprises data from a 25-year period (1978–2002 that included 25 339 men and 25 330 women aged 25–64 years. BMI was based on self-reported weight and height. Education in years was obtained from the questionnaire and household income from the national tax register. In order to improve the comparability of the socioeconomic position measures, education and income were divided into gender-specific tertiles separately for each study year. Linear regression analysis was applied. Results An increase in BMI was observed among men and women in all educational and income groups. In women, education and income were inversely associated with BMI. The magnitudes of the associations fluctuated but stayed statistically significant over time. Among the Finnish men, socioeconomic differences were more complicated. Educational differences were weaker than among the women and income differences varied according to educational level. At the turn of the century, the high income men in the lowest educational group had the highest BMI whereas the income pattern in the highest educational group was the opposite. Conclusion No overall change in the socio-economic differences of BMI was observed in Finland between 1978 and 2002. However, the trends of BMI diverged in sub-groups of the studied population: the most prominent increase in BMI took place in high income men with low education and in low income men with high education. The results encourage further research on the

  4. The association between body mass index and mortality in incident dialysis patients.

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    Sunil V Badve

    Full Text Available To study the body mass index (BMI trajectory in patients with incident end-stage kidney disease and its association with all-cause mortality.This longitudinal cohort study included 17022 adult patients commencing hemodialysis [HD] (n = 10860 or peritoneal dialysis [PD] (n = 6162 between 2001 and 2008 and had ≥6-month follow-up and ≥2 weight measurements, using the Australia and New Zealand Dialysis and Transplant Registry data. The association of time-varying BMI with all-cause mortality was explored using multivariate Cox regression models.The median follow-up was 2.3 years. There was a non-linear change in the mean BMI (kg/m2 over time, with an initial decrease from 27.6 (95% confidence interval [CI]: 27.5, 27.7 to 26.7 (95% CI: 26.6, 26.9 at 3-month, followed by increments to 27.1 (95% CI: 27, 27.2 at 1-year and 27.2 (95% CI: 26.8, 27.1 at 3-year, and a gradual decrease subsequently. The BMI trajectory was significantly lower in HD patients who died than those who survived, although this pattern was not observed in PD patients. Compared to the reference time-varying BMI category of 25.1-28 kg/m2, the mortality risks of both HD and PD patients were greater in all categories of time-varying BMI 28.1 kg/m2 among HD patients, but only in the category 28.1-31 kg/m2 among PD patients.BMI changed over time in a non-linear fashion in incident dialysis patients. Time-varying measures of BMI were significantly associated with mortality risk in both HD and PD patients.

  5. Maternal prepregnancy body mass index and gestational weight gain on pregnancy outcomes.

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    Nan Li

    Full Text Available OBJECTIVE: The aim of the present study was to evaluate the single and joint associations of maternal prepregnancy body mass index (BMI and gestational weight gain (GWG with pregnancy outcomes in Tianjin, China. METHODS: Between June 2009 and May 2011, health care records of 33,973 pregnant women were collected and their children were measured for birth weight and birth length. The independent and joint associations of prepregnancy BMI and GWG based on the Institute of Medicine (IOM guidelines with the risks of pregnancy and neonatal outcomes were examined by using Logistic Regression. RESULTS: After adjustment for all confounding factors, maternal prepregnancy BMI was positively associated with risks of gestational diabetes mellitus (GDM, pregnancy-induced hypertension, caesarean delivery, preterm delivery, large-for-gestational age infant (LGA, and macrosomia, and inversely associated with risks of small-for-gestational age infant (SGA and low birth weight. Maternal excessive GWG was associated with increased risks of pregnancy-induced hypertension, caesarean delivery, LGA, and macrosomia, and decreased risks of preterm delivery, SGA, and low birth weight. Maternal inadequate GWG was associated with increased risks of preterm delivery and SGA, and decreased risks of LGA and macrosomia, compared with maternal adequate GWG. Women with both prepregnancy obesity and excessive GWG had 2.2-5.9 folds higher risks of GDM, pregnancy-induced hypertension, caesarean delivery, LGA, and macrosomia compared with women with normal prepregnancy BMI and adequate GWG. CONCLUSIONS: Maternal prepregnancy obesity and excessive GWG were associated with greater risks of pregnancy-induced hypertension, caesarean delivery, and greater infant size at birth. Health care providers should inform women to start the pregnancy with a BMI in the normal weight category and limit their GWG to the range specified for their prepregnancy BMI.

  6. Irritable bowel syndrome subtypes: clinical and psychological features, body mass index and comorbidities

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    Cristiane Kibune-Nagasako

    2016-02-01

    Full Text Available Background: Irritable bowel syndrome (IBS is classified into subtypes according to bowel habit. Objective: To investigate whether there are differences in clinical features, comorbidities, anxiety, depression and body mass index (BMI among IBS subtypes. Methods: The study group included 113 consecutive patients (mean age: 48 ± 11 years; females: 94 with the diagnosis of IBS. All of them answered a structured questionnaire for demographic and clinical data and underwent upper endoscopy. Anxiety and depression were assessed by the Hospital Anxiety and Depression scale (HAD. Results: The distribution of subtypes was: IBS-diarrhea (IBS-D, 46%; IBS-constipation (IBS-C, 32%, and mixed IBS (IBS-M, 22%. IBS overlap with gastroesophageal reflux disease (GERD, functional dyspepsia, chronic headache and fibromyalgia occurred in 65.5%, 48.7%, 40.7% and 22.1% of patients, respectively. Anxiety and/or depression were found in 81.5%. Comparisons among subgroups showed that bloating was significantly associated with IBS-M compared to IBS-D (odds ratio-OR-5.6. Straining was more likely to be reported by IBS-M (OR 15.3 and IBS-C (OR 12.0 compared to IBS-D patients, while urgency was associated with both IBS-M (OR 19.7 and IBS-D (OR 14.2 compared to IBS-C. In addition, IBS-M patients were more likely to present GERD than IBS-D (OR 6.7 and higher scores for anxiety than IBS-C patients (OR 1.2. BMI values did not differ between IBS-D and IBS-C. Conclusion: IBS-M is characterized by symptoms frequently reported by both IBS-C (straining and IBS-D (urgency, higher levels of anxiety, and high prevalence of comorbidities. These features should be considered in the clinical management of this subgroup.

  7. Blood pressure levels and body mass index in Brazilian adults with Down syndrome

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    Felipe Pucci

    Full Text Available ABSTRACT CONTEXT AND OBJECTIVE: Increased life expectancy among people with Down syndrome (DS has introduced new environmental factors that may affect blood pressure (BP and/or lead to obesity in this population. The aim here was to investigate BP levels and body mass index (BMI in adults with DS, correlating these data with the patients' sex and age. DESIGN AND SETTING: Analytical cross-sectional observational study conducted in special schools in Curitiba (PR, Brazil. METHODS: 97 adult patients were included. BP was measured in accordance with the established guidelines. BMI was calculated by dividing the weight by the height squared (kg/m2. RESULTS: Sex had no influence on BMI; nor did systolic BP (SBP or diastolic BP (DBP. The age range was from 18 to 56 years. No correlation was observed between increasing age and greater BMI or BP. Eighty-six individuals (88.7% presented normal BP, eleven (11.3% prehypertension and none hypertension. Twenty patients (20.4% presented BP lower than 90 × 60 mmHg. BMI ranged from 18 to 48 kg/m2 (mean of 28.8 ± 3.92 kg/m2: 21.9% had normal weight; 40.7% were overweight; and 25.3% had obesity class I, 9.9% class II and 2.2% class III. Higher BMI was associated with significantly greater SBP and DBP (P = 0.0175 and P = 0.0015. CONCLUSION: Sex and age did not influence SBP, DBP or BMI in Brazilian adults with DS. Higher BMI was associated with greater BP (both systolic and diastolic.

  8. Genome Wide Association Study:Searching for Genes Underlying Body Mass Index in the Chinese

    Institute of Scientific and Technical Information of China (English)

    YANG Fang; CHEN Xiang Ding; TAN Li Jun; SHEN Jie; LI Ding You; ZHANG Fang; SHA Bao Yong; DENG Hong Wen

    2014-01-01

    Objective Obesity is becoming a worldwide health problem. The genome wide association (GWA) study particularly for body mass index (BMI) has not been successfully conducted in the Chinese. In order to identify novel genes for BMI variation in the Chinese, an initial GWA study and a follow up replication study were performed. Methods Affymetrix 500K SNPs were genotyped for initial GWA of 597 Northern Chinese. After quality control, 281 533 SNPs were included in the association analysis. Three SNPs were genotyped in a Southern Chinese replication sample containing 2 955 Chinese Han subjects. Association analyses were performed by Plink software. Results Eight SNPs were significantly associated with BMI variation after false discovery rate (FDR) correction (P=5.45×10-7-7.26×10-6, FDR q=0.033-0.048). Two adjacent SNPs (rs4432245 &rs711906) in the eukaryotic translation initiation factor 2 alpha kinase 4 (EIF2AK4) gene were significantly associated with BMI (P=6.38×10-6&4.39×10-6, FDR q=0.048). In the follow-up replication study, we confirmed the associations between BMI and rs4432245, rs711906 in the EIF2AKE gene (P=0.03&0.01, respectively). Conclusion Our study suggests novel mechanisms for BMI, where EIF2AK4 has exerted a profound effect on the synthesis and storage of triglycerides and may impact on overall energy homeostasis associated with obesity. The minor allele frequencies for the two SNPs in the EIF2AK4 gene have marked ethnic differences between Caucasians and the Chinese. The association of the EIF2AK4 gene with BMI is suggested to be‘ethnic specific’ in the Chinese.

  9. Lipids and leukocytes in newborn umbilical vein blood, birth weight and maternal body mass index.

    Science.gov (United States)

    Brittos, T; de Souza, W B; Anschau, F; Pellanda, L

    2016-12-01

    Maternal obesity during pregnancy may influence fetal development and possibly predispose offspring to cardiovascular disease. The aim of the present study was to evaluate the relationship between maternal pre-pregnancy body mass index (BMI) and weight gain during pregnancy, and newborn birth weight, with lipid profile, high-sensitivity C-reactive protein (hs-CRP) and leukocyte in newborns. We performed a cross-sectional study of 245 mothers and their children. Blood was collected from the umbilical vein and assayed for lipid profile, hs-CRP and leukocyte count. Newborns average weight was 3241 g, total cholesterol 53.9 mg/dl, high-density lipoprotein cholesterol (HDL-c) 21.9 mg/dl, low-density lipoprotein cholesterol (LDL-c) 26.2 mg/dl, triglyceride 29.5 mg/dl and leukocytes 13,777/mm3. There was a direct correlation of pre-pregnancy BMI of overweight mothers with total cholesterol (r=0.220, P=0.037) and LDL-c (r=0.268, P=0.011) of newborns. Total cholesterol, LDL-c and HDL-c were higher in pre-term newborns (66.3±19.7, 35.9±14.6 and 25.2±7.7 mg/dl, respectively) that in full-term (52.4±13.1, 25.0±8.7 and 21.5±6.0 mg/dl), with P=0.001, 0.001 and 0.003, respectively. Leukocyte counts were higher in full-term newborns (14,268±3982/mm3) compared with pre-term (9792±2836/mm3, Pprogramming of the immune system.

  10. Body mass index and bromoxynil exposure in a sample of rural residents during spring herbicide application.

    Science.gov (United States)

    Semchuk, Karen; McDuffie, Helen; Senthilselvan, Ambikaipakan; Cessna, Allan; Irvine, Donald

    2004-09-10

    Bromoxynil (3,5-dibromo-4-hydroxybenzonitrile), a phenolic herbicide, is widely used in production of cereals and other crops. Little is known, however, about bromoxynil exposure in humans. Results of previous research suggest a longer residence time in the body for bromoxynil compared to phenoxy herbicides [e.g., (2,4-dichlorophenoxy)acetic acid (2,4-D), 4-chloro-2-methylphenoxyacetic acid (MCPA)] and that bromoxynil would tend to partition into fatty tissue more so than 2,4-D. In previous research, body mass index (BMI) was found to be an independent predictor of plasma concentrations of 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE), the persistent lipophilic metabolite of the chlorinated pesticide bis(4-chlorophenyl)-1,1,1-trichloroethane (DDT). As part of the Prairie Ecosystem Study, gas chromatography/mass spectrometry analysis was used to measure concentrations of bromoxynil and seven other herbicides (2,4-D, dicamba, fenoxaprop, MCPA, ethalfluralin, triallate, and trifluralin) in plasma from residents (104 men, 88 women, 24 youths age 12-17 yr) of a cereal-producing region in Saskatchewan, Canada, during spring herbicide application, 1996. Multiple logistic regression analysis was used to explore whether BMI predicted detection of bromoxynil in plasma from the adults. The prevalence of detection (detection limits: 2-50 microg/L) was markedly higher for bromoxynil (men, 44.2%; women, 14.8%; youths, 20.8%) compared to each of the other herbicides including 2,4-D (men, 16.5%; women, 3.4%; youths, 12.5%) and MCPA (men, 6.8%; women, 1.1%; youths, 4.2%), although bromoxynil is commonly formulated or tank mixed with these herbicides. In the multiple logistic regression analysis, the variables BMI, exposure group [bromoxynil applicators, non-applicator family members of bromoxynil applicators, all others (reference group)], and days elapsed since the last use of bromoxynil were found to be independent predictors of detection of bromoxynil, while age, gender

  11. Serum Creatinine Modifies Associations between Body Mass Index and Mortality and Morbidity in Prevalent Hemodialysis Patients

    Science.gov (United States)

    Sakao, Yukitoshi; Ojima, Toshiyuki; Yasuda, Hideo; Hashimoto, Seiji; Hasegawa, Takeshi; Iseki, Kunitoshi; Tsubakihara, Yoshiharu; Kato, Akihiko

    2016-01-01

    Background High body mass index (BMI) is paradoxically associated with better outcomes in hemodialysis (HD) patients. This study aimed to examine whether serum creatinine (Cr), a marker of muscle mass, could modify the association between BMI, and mortality and morbidity in prevalent HD patients. Methods A retrospective study was conducted using a nationwide database from the registry of the Japanese Society for Dialysis Therapy. A total of 119,099 patients were selected (age: 65±12 years; median time on HD: 5.6 years; male: 62%), and we examined the association of basal BMI with mortality and morbidity after a 1-year period. Patients were stratified either by BMI into 4 groups or by serum Cr levels into 3 tertiles. Odds ratio (OR) [95% confidence interval] was calculated by multivariate logistic regression analysis. Results Higher BMI did not predict a higher 1-year total mortality. However, when we stratified the patients by serum Cr levels, the risk of cardiac death became significantly higher in obese patients with the lowest Cr levels, in both males (OR 2.82 [1.51–5.27], p<0.01) and females (OR 2.00 [1.03–3.90], p<0.05). The risk of new cerebral infarction was also higher in obese male patients within the lowest Cr tertile. In contrast, there was a significantly lower risk of cardiac, cerebrovascular, and infection-related death in non-obese patients with higher levels of Cr. Higher serum Cr was also related to a lower risk of cardiovascular events and hip fracture in non-obese HD patients. Conclusions The obesity paradox was found to be present in HD patients only when obesity was defined by BMI. Decreased serum Cr levels were found to be positively associated with clinical poor outcomes in all BMI groups. Thus, irrespective of BMI, the evaluation of serum Cr levels is important to predict mortality and morbidity in patients receiving regular HD. PMID:26930325

  12. Perceived body image in men and women with type 2 diabetes mellitus: correlation of body mass index with the figure rating scale

    OpenAIRE

    Fox Kathleen M; Bazata Debbra D; Bays Harold E; Grandy Susan; Gavin James R

    2009-01-01

    Abstract Background Body mass index (BMI) is often used as an objective surrogate estimate of body fat. Increased BMI is directly associated with an increase in metabolic disease, such as type 2 diabetes mellitus (T2DM). The Stunkard Figure Rating Scale (FRS) is a subjective measure of body fat, and self-perceptions of body image conceivably impact the development and treatment of T2DM. This study examined the self-perception of body image to various levels of BMI among those with T2DM. Metho...

  13. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    NARCIS (Netherlands)

    E.K. Speliotes (Elizabeth); C.J. Willer (Cristen); S.I. Berndt (Sonja); K.L. Monda (Keri); G. Thorleifsson (Gudmar); A.U. Jackson (Anne); H.L. Allen; C.M. Lindgren (Cecilia); J. Luan; R. Mägi (Reedik); J.C. Randall (Joshua); S. Vedantam (Sailaja); T.W. Winkler (Thomas); L. Qi (Lu); T. Workalemahu (Tsegaselassie); I.M. Heid (Iris); V. Steinthorsdottir (Valgerdur); H.M. Stringham (Heather); E. Wheeler (Eleanor); A.R. Wood (Andrew); T. Ferreira (Teresa); R.J. Weyant (Robert); A.V. Segrè (Ayellet); K. Eestrada (Karol); L. Liang (Liming); J. Nemesh (James); J.H. Park; S. Gustafsson (Stefan); T.O. Kilpeläinen (Tuomas); J. Yang (Joanna); N. Bouatia-Naji (Nabila); T. Eesko (Tõnu); M.F. Feitosa (Mary Furlan); Z. Kutalik (Zoltán); M. Mangino (Massimo); S. Raychaudhuri (Soumya); A. Scherag (Andre); A.V. Smith (Albert Vernon); R.P. Welch (Ryan); J.H. Zhao; K.K.H. Aben (Katja); D. Absher (Devin); N. Amin (Najaf); A.L. Dixon (Anna); E. Fisher (Eeva); N.L. Glazer (Nicole); M.E. Goddard (Michael); N.L. Heard-Costa (Nancy); V. Hoesel (Volker); J.J. Hottenga (Jouke Jan); A. Johansson (Åsa); T. Johnson (Toby); S. Ketkar (Shamika); C. Lamina (Claudia); S. Li (Shengxu); M.F. Moffatt (Miriam); R.H. Myers (Richard); N. Narisu (Narisu); J.R.B. Perry (John); M.J. Peters (Marjolein); M. Preuss (Michael); S. Ripatti (Samuli); F. Rivadeneira Ramirez (Fernando); C. Sandholt (Camilla); L.J. Scott (Laura); N. Timpson (Nicholas); J.P. Tyrer (Jonathan); S. van Wingerden (Sophie); C.C. White (Charles); F. Wiklund (Fredrik); C. Barlassina (Christina); D.I. Chasman (Daniel); M.N. Cooper (Matthew); J.O. Jansson; R.W. Lawrence (Robert); N. Pellikka (Niina); I. Prokopenko (Inga); J. Shi (Jianxin); E. Thiering (Eelisabeth); H. Alavere (Helene); M.T.S. Alibrandi (Maria); P. Almgren (Peter); A.M. Arnold (Alice); T. Aspelund (Thor); L.D. Atwood (Larry); B. Balkau (Beverley); A.J. Balmforth (Anthony); A.J. Bennett (Amanda); Y. Ben-Shlomo; R.N. Bergman (Richard); S.M. Bergmann (Sven); H. Biebermann (Heike); A.I.F. Blakemore (Alexandra); T. Boes (Tanja); L.L. Bonnycastle (Lori); S.R. Bornstein (Stefan); M.J. Brown (Morris); T.A. Buchanan (Thomas); F. Busonero; H. Campbell (Harry); F.P. Cappuccio (Francesco); C. Cavalcanti-Proença (Christine); Y.D.I. Chen (Yii-Der Ida); C.-M. Chen (Chih-Mei); P.S. Chines (Peter); R. Clarke; L. Coin (Lachlan); J. Connell (John); I.N.M. Day (Ian); M. den Heijer (Martin); J. Duan (Jubao); S. Eebrahim (Shah); P. Eelliott (Paul); R. Eelosua (Roberto); G. Eeiriksdottir (Gudny); M.R. Eerdos (Micheal); J.G. Eeriksson (Johan); M.F. Facheris (Maurizio); S.B. Felix (Stephan); P. Fischer-Posovszky (Pamela); A.R. Folsom (Aaron); N. Friedrich (Nele); N.B. Freimer (Nelson); M. Fu (Mao); S. Gaget (Stefan); P.V. Gejman (Pablo); E.J. Geus (Eeco); C. Gieger (Christian); A.P. Gjesing (Anette); A. Goel (Anuj); P. Goyette (Philippe); H. Grallert (Harald); J. Gräßler (Jürgen); D. Greenawalt (Danielle); C.J. Groves (Christopher); V. Gudnason (Vilmundur); C. Guiducci (Candace); A.L. Hartikainen; N. Hassanali (Neelam); A.S. Hall (Alistair); A.S. Havulinna (Aki); C. Hayward (Caroline); A.C. Heath (Andrew); C. Hengstenberg (Christian); A.A. Hicks (Andrew); A. Hinney (Anke); A. Hofman (Albert); G. Homuth (Georg); J. Hui (Jennie); W. Igl (Wilmar); C. Iribarren (Carlos); B. Isomaa (Bo); K.B. Jacobs (Kevin); I. Jarick (Ivonne); E. Jewell (Eelizabeth); U. John (Ulrich); T. Jørgensen (Torben); P. Jousilahti (Pekka); A. Jula (Antti); M. Kaakinen (Marika); E. Kajantie (Eero); R.C. Kaplan (Robert); S. Kathiresan (Sekar); J. Kettunen (Johannes); L. Kinnunen (Leena); J.W. Knowles (Joshua); I. Kolcic (Ivana); I.R. König (Inke); S. Koskinen (Seppo); P. Kovacs (Peter); J. Kusisto (Johanna); P. Kraft (Peter); K. Kvaløy (Kirsti); J. Laitinen (Jaana); O. Lantieri (Olivier); C. Lanzani (Chiara); L.J. Launer (Lenore); C. Lecoeur (Cécile); T. Lehtimäki (Terho); G. Lettre (Guillaume); J. Liu (Jianjun); M.L. Lokki; M. Lorentzon (Mattias); R.N. Luben (Robert); B. Ludwig (Barbara); P. Manunta (Paolo); D. Marek (Diana); M. Marre (Michel); N.G. Martin (Nicholas); W.L. McArdle (Wendy); M.I. McCarthy (Mark); B. McKnight (Barbara); T. Meitinger (Thomas); O. Melander (Olle); D. Meyre (David); K. Midthjell (Kristian); G.W. Montgomery (Grant); M.A. Morken (Mario); A.D. Morris (Andrew); R. Mulic (Rosanda); J.S. Ngwa; M. Nelis (Mari); M.J. Neville (Matthew); D.R. Nyholt (Dale); C.J. O'Ddonnell (Christopher); S. O'Rahilly (Stephen); K. Ong (Ken); B.A. Oostra (Ben); G. Paré (Guillaume); A.N. Parker (Alex); M. Perola (Markus); I. Pichler (Irene); K.H. Pietilainen (Kirsi Hannele); C.P. Platou (Carl); O. Polasek (Ozren); A. Pouta (Anneli); S. Rafelt (Suzanne); O. Raitakari (Olli); N.W. Rayner (Nigel William); M. Ridderstråle (Martin); W. Rief (Winfried); A. Ruokonen (Aimo); N.R. Robertson (Neil); P. Rzehak (Peter); V. Salomaa (Veikko); A.R. Sanders (Alan); M.S. Sandhu (Manjinder); S. Sanna (Serena); J. Saramies (Jouko); M.J. Savolainen (Markku); S. Schipf (Sabine); S. Schreiber (Stefan); H. Schunkert (Heribert); K. Silander (Kaisa); J. Sinisalo (Juha); D.S. Siscovick (David); J.H. Smit (Jan); N. Soranzo (Nicole); U. Sovio (Ulla); J. Stephens (Jonathan); I. Surakka (Ida); A.J. Swift (Amy); M.L. Tammesoo; J.-C. Tardif (Jean-Claude); M. Teder-Laving (Maris); T.M. Teslovich (Tanya); J.R. Thompson (John); B. Thomson (Brian); A. Tönjes (Anke); T. Tuomi (Tiinamaija); J.B.J. van Meurs (Joyce); G.J. van OMen; V. Vatin (Vincent); J. Viikari (Jorma); S. Visvikis-Siest (Sophie); V. Vitart (Veronique); C.I. Vogel (Carla); B.F. Voight (Benjamin); L. Waite (Lindsay); H. Wallaschofski (Henri); G.B. Walters (Bragi); E. Widen (Elisabeth); S. Wiegand (Susanna); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); D.R. Witte (Deniel); J.C.M. Witteman (Jacqueline); J. Xu (Jianfeng); Q. Zhang (Qunyuan); L. Zgaga (Lina); A. Ziegler (Andreas); P. Zitting (Paavo); J.P. Beilby (John); I.S. FarOqi (Ssadaf); J. Hebebrand (Johannes); H.V. Huikuri (Heikki); A. James (Alan); M. Kähönen (Mika); D.F. Levinson (Douglas); F. MacCiardi (Fabio); M.S. Nieminen (Markku); C. Ohlsson (Claes); C. Palmer (Cameron); P.M. Ridker (Paul); M. Stumvoll (Michael); J.S. Beckmann (Jacques); H. Boeing (Heiner); E.A. Boerwinkle (Eric); D.I. Boomsma (Dorret); M. Caulfield (Mark); S.J. Chanock (Stephen); F.S. Collins (Francis); L.A. Cupples (Adrienne); J. Eerdmann (Jeanette); P. Frogue (Philippe); H. Grönberg (Henrik); U. Gyllensten (Ulf); T. Hansen (Torben); T.B. Harris (Tamara); A.T. Hattersley (Andrew); R.B. Hayes (Richard); J. Heinrich (Joachim); F.B. Hu (Frank); K. Hveem (Kristian); T. Illig (Thomas); M.R. Järvelin; J. Kaprio (Jaakko); F. Karpe (Fredrik); K-T. Khaw (Kay-Tee); L.A.L.M. Kiemeney (Bart); H. Krude; M. Laakso (Markku); D.A. Lawlor (Debbie); A. Metspalu (Andres); P. Munroe (Patricia); W.H. Ouwehand (Willem); O. Pedersen (Oluf); B.W.J.H. Penninx (Brenda); P.P. Pramstaller (Peter Paul); T. Quertermous (Thomas); T. Reinehr (Thomas); A. Rissanen (Aila); I. Rudan (Igor); N.J. Samani (Nilesh); P.E.H. Schwarz (Peter); A.R. Shuldiner (Alan); T.D. Spector (Timothy); J. Tuomilehto (Jaakko); M. Uda (Manuela); A.G. Uitterlinden (André); T.T. Valle (Timo); M. Wabitsch (Martin); G. Waeber (Gérard); N.J. Wareham (Nick); H. Watkins (Hugh); J.F. Wilson (James); A.F. Wright (Alan); M.C. Zillikens (Carola); N. ChatterjE (Nilanjan); S.A. McCarroll (Steve); S. Purcell (Shaun); E.E. Schadt (Eric); P.M. Visscher (Peter); T.L. Assimes (Themistocles); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); C.S. Fox (Caroline); L. Groop (Leif); T. Haritunians (Talin); D.J. Hunter (David); K.L. Mohlke (Karen); J.R. O'ConneL (Jeffrey); L. Peltonen (Leena Johanna); D. SchleSinger (David); D.P. Strachan (David); R.M. Watanabe (Richard); C.M. van Duijn (Cock); H.E. Wichmann (Heinz Erich); T.M. Frayling (Timothy); U. Thorsteinsdottir (Unnur); G.R. Abecasis (Gonçalo); M. Boehnke (Michael); K. StefanSon (Kari); K.E. North (Kari); M.I. McArthy (Mark); J.N. Hirschhorn (Joel); E. IngelSon (Erik); R.J.F. Loos (Ruth); M.N. Weedon (Michael)

    2010-01-01

    textabstractObesity is globaLy prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined aSociations betwEn body maS index and ĝ̂1/42.8 miLion SNPs in up to 123,865 individuals with targeted foLow up of

  14. Overweight, obesity and beer consumption. Alcohol drinking habits in Belgium and body mass index.

    OpenAIRE

    Janssens, J; Bruckers, Liesbeth; Joossens, J.V.; Molenberghs, Geert; VINCK, Jan; Renard, Didier; Tafforeau, Jean

    2001-01-01

    Objective: The relationship between body weight and alcohol, particularly beer, consumption was studied in a representative sample of the Belgian population using a quantity frequency (QF)index, which measures the units of alcohol weekly consumed. The data of the health questionnaires 1997 were used. Design: A total of 10000 individuals were interviewed, after ommission of individuals younger than 15 years of age, the questionnaires of 7809 subjects were used for analysis. The most important ...

  15. Effects of Playing a Serious Computer Game on Body Mass Index and Nutrition Knowledge in Women

    Science.gov (United States)

    Hallinan, Sean; Seif El-Nasr, Magy; Subramanian, Shree; Castaneda-Sceppa, Carmen

    2016-01-01

    Background Obesity and weight gain is a critical public health concern. Serious digital games are gaining popularity in the context of health interventions. They use persuasive and fun design features to engage users in health-related behaviors in a non-game context. As a young field, research about effectiveness and acceptability of such games for weight loss is sparse. Objective The goal of this study was to evaluate real-world play patterns of SpaPlay and its impact on body mass index (BMI) and nutritional knowledge. SpaPlay is a computer game designed to help women adopt healthier dietary and exercise behaviors, developed based on Self-Determination theory and the Player Experience of Need Satisfaction (PENS) model. Progress in the game is tied to real-life activities (e.g., eating a healthy snack, taking a flight of stairs). Methods We recruited 47 women to partake in a within-subject 90-day longitudinal study, with assessments taken at baseline, 1-, 2-, and 3- months. Women were on average, 29.8 years old (±7.3), highly educated (80.9% had BA or higher), 39% non-White, baseline BMI 26.98 (±5.6), who reported at least contemplating making changes in their diet and exercise routine based on the Stages of Change Model. We computed 9 indices from game utilization data to evaluate game play. We used general linear models to examine inter-individual differences between levels of play, and multilevel models to assess temporal changes in BMI and nutritional knowledge. Results Patterns of game play were mixed. Participants who reported being in the preparation or action stages of behavior change exhibited more days of play and more play regularity compared to those who were in the contemplation stage. Additionally, women who reported playing video games 1-2 hours per session demonstrated more sparse game play. Brief activities, such as one-time actions related to physical activity or healthy food, were preferred over activities that require a longer commitment (e

  16. Correlation between body mass index and chondral lesions in isolated medial meniscus tears

    Directory of Open Access Journals (Sweden)

    Barak Haviv

    2015-01-01

    Full Text Available Background:Chondral lesions of the knee are commonly found during arthroscopic partial meniscectomy. The literature advises against arthroscopic medial meniscectomy in the presence of advanced chondral derangement because of unfavorable outcome. Recent studies have shown an association between obesity and chondropathy in patients with meniscal tears. The aim of this study was to assess whether body mass index (BMI correlates with the severity of chondral lesions in patients with isolated medial meniscus tears (i.e. without ligamentous or lateral meniscal injury. Materials and Methods: 837 knee arthroscopies were performed in a regional referral center of arthroscopic surgery between January 2011 and December 2012. Of these 168 (109 males, 59 females patients with no axial knee deformity and no radiological signs of osteoarthritis who have had arthroscopic debridement for isolated torn medial meniscus were included in the study. The correlation between different demographic factors and the level of chondral damage reported at surgery was evaluated. The mean age of patient was 50 years (range 13-82 years and an average BMI was 28.2 kg/m [2] (range17.5-42.5 kg/m [2] . Results: Overall, regression analysis showed both age and BMI to be linearly correlated to chondral score (r = 0.53, P < 0.04; however, there were no advanced chondral lesions found in patients younger than 40 years of age and all severe lesions were at age 50 years or more. Therefore, further analysis was performed for age subgroups: patients were grouped as younger than 40, between the age of 40 and 50 (middle age and older than 50 years. The BMI was linearly correlated to the severity of chondral score exclusively in the middle aged group (i.e. 40-50 years old. There was no correlation between activity level and chondral damage. Women had worse chondral lesions than men in all age groups. Conclusion: Higher BMI in middle aged patients with isolated medial meniscus tears and

  17. Relationship between Body Mass Index and Outcome of Elective Percutaneous Coronary Intervention

    Directory of Open Access Journals (Sweden)

    Mohammad Alidoosti

    2015-10-01

    Full Text Available Background: Studies have shown controversial effects of obesity on major adverse cardiac events (MACE after percutaneous coronary intervention (PCI. We sought to investigate the impact of the body mass index (BMI on the mid-term outcome following successful PCI.Methods: Between March 2006 and August 2008, 3948 patients underwent successful elective PCI in Tehran Heart Center, Tehran, Iran, and were retrospectively included in this study. Patients who underwent PCI on the same day as the occurrence of myocardial infarction were excluded. The demographic, procedural, in-hospital, and follow-up information of these patients was extracted from the PCI Data Registry of our institution. The patients were divided into three groups:  normal weight (No. 1058, BMI < 25 kg/m2 age = 58 ± 10 years; overweight (No. 1867, 25 ≤ BMI < 30 kg/m2, age = 57 ± 10 years; and obese (No. 1023, BMI ≥ 30 kg/m2, age = 56 ± 10 years. MACE included death, myocardial infarction, target vessel revascularization, and target lesion revascularization.Results: Compared with the other patients, the obese individuals were significantly younger and more frequently female, had a higher ejection fraction, and more frequently presented with hypertension, diabetes, and hyperlipidemia. There was no association between the BMI and the angiographic and procedural findings in the univariate analysis. While no difference was found in the rate of in-hospital death between the groups, the number of the obese patients undergoing emergent cardiac surgery was marginally different in the univariate analysis (p value = 0.06. At 9 months' follow-up, MACE had occurred in 92 (2.3% patients and cardiac mortality was 9 (0.2%. After adjustments for confounders, no significant difference was observed in terms of MACE between the BMI groups.Conclusion: The BMI had no significant effect on the rate of MACE at 9 months' follow-up in our study population. Interventionists' recommendations for patients

  18. Body mass index of 16-year olds in urban Maseru, Lesotho

    Directory of Open Access Journals (Sweden)

    Violet L. van den Berg

    2014-01-01

    Full Text Available Background: Overweight and/or obesity amongst children and adolescents is a global epidemic with health consequences that track into adulthood. No data are currently available regarding overweight/obesity amongst adolescents in Lesotho.Aim and setting: To assess the prevalence of overweight and/or obesity and the associated risk factors amongst 16-year olds in urban Maseru, Lesotho.Method: A cross-sectional descriptive study was conducted on a systematic sample of 16-year olds ingrade four (N = 221; 56.6% girls from randomly-selected schools in urban Maseru. Diet histories and data on lifestyle, physical activity and knowledge, attitudes and/or perceptions and practices regarding nutrition were obtained during structured interviews and body mass index (BMI was determined.Results: Amongst these 16-year olds, 27.2% girls and 8.3% boys were overweight and/or obese based on World Health Organization cut-offs for BMI; 39.8% were insufficiently active or inactive;6.4% used alcohol regularly; and 11.7% used tobacco. Whilst 28.1% reported no television watching/electronic gaming/computer usage (combined screen time outside school, 23.6% reported ≥ 4 hours of combined screen time outside school. Most (91.4% consumed < 3 servings of vegetables/day; 86.4% consumed < 2 servings of fruits/day; and 95.5% consumed < 2 servings of dairy/day. The majority consumed maize porridge (56.1%, bread (63.8% and margarine/oil/fat (82.3% daily and added sugar to their food (74.2%. Fruits, vegetables, dairy, meat, pulses and traditional foods were only consumed weekly or less often. Most bought from tuck shops (18.6% daily; 54.3% weekly. Various gaps in knowledge, perceptions and practices were identified that may benefit from educational intervention.Conclusions: The current study identifies westernised dietary and lifestyle changes, along with overweight and/or obesity, amongst 16-year old adolescents in Lesotho.

  19. Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients

    Science.gov (United States)

    Benítez Brito, Néstor; Suárez Llanos, José Pablo; Fuentes Ferrer, Manuel; Oliva García, Jose Gregorio; Delgado Brito, Irina; Pereyra-García Castro, Francisca; Caracena Castellanos, Nieves; Acevedo Rodríguez, Candelaria Xiomara; Palacio Abizanda, Enrique

    2016-01-01

    Introduction Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition (<18.5 kg/m2), but it presents the handicap that the great majority of patients cannot be weighed and measured. For this reason it is necessary to find other indicators that can be measured in these patients. Objectives 1) Analyse the relationship between BMI and Mid-Upper Arm Circumference (MUAC); 2) establish a cut-off point of MUAC equivalent to BMI <18.5 kg/m2. Materials and Methods The anthropometric data of patients hospitalised over the period 2004–2013 were retrospectively revised. The following variables were collected: weight, height, BMI, MUAC, sex and age. Results 1373 patients were evaluated, who presented a mean weight of: 65.04±15.51 kg; height: 1.66±0.09 m; BMI: 23.48±5.03 kg/m2; MUAC: 26.95±4.50 cm; age: 56.24±16.77. MUAC correlates suitably to BMI by means of the following equation (simple linear regression): BMI = − 0.042 + 0.873 x MUAC (cm) (R2 = 0.609), with a Pearson r value of 0.78 (p<0.001). The area under the curve of MUAC for the diagnosis of malnutrition was 0.92 (95% CI: 0.90–0.94; p<0.001). The MUAC value ≤22.5 cm presented a sensitivity of 67.7%, specificity of 94.5%, and a correct classification of 90%. No significant statistical differences were found in the cut-off point of MUAC for the diagnosis of malnutrition based on sex (p = 0.115) and age (p = 0.694). Conclusions 1) MUAC correlates positively and significantly with BMI. 2) MUAC ≤ 22.5 cm correlates properly with a BMI of <18.5 kg/m2, independent of the age or sex of the patient, although there are other alternatives. MUAC constitutes a useful tool as a marker of malnutrition, fundamentally in patients for whom weight and height cannot be determined. PMID:27494612

  20. A meta-analysis of the association of fracture risk and body mass index in women.

    Science.gov (United States)

    Johansson, Helena; Kanis, John A; Odén, Anders; McCloskey, Eugene; Chapurlat, Roland D; Christiansen, Claus; Cummings, Steve R; Diez-Perez, Adolfo; Eisman, John A; Fujiwara, Saeko; Glüer, Claus-C; Goltzman, David; Hans, Didier; Khaw, Kay-Tee; Krieg, Marc-Antoine; Kröger, Heikki; LaCroix, Andrea Z; Lau, Edith; Leslie, William D; Mellström, Dan; Melton, L Joseph; O'Neill, Terence W; Pasco, Julie A; Prior, Jerilynn C; Reid, David M; Rivadeneira, Fernando; van Staa, Tjerd; Yoshimura, Noriko; Zillikens, M Carola

    2014-01-01

    Several recent studies suggest that obesity may be a risk factor for fracture. The aim of this study was to investigate the association between body mass index (BMI) and future fracture risk at different skeletal sites. In prospective cohorts from more than 25 countries, baseline data on BMI were available in 398,610 women with an average age of 63 (range, 20-105) years and follow up of 2.2 million person-years during which 30,280 osteoporotic fractures (6457 hip fractures) occurred. Femoral neck BMD was measured in 108,267 of these women. Obesity (BMI ≥ 30 kg/m(2) ) was present in 22%. A majority of osteoporotic fractures (81%) and hip fractures (87%) arose in non-obese women. Compared to a BMI of 25 kg/m(2) , the hazard ratio (HR) for osteoporotic fracture at a BMI of 35 kg/m(2) was 0.87 (95% confidence interval [CI], 0.85-0.90). When adjusted for bone mineral density (BMD), however, the same comparison showed that the HR for osteoporotic fracture was increased (HR, 1.16; 95% CI, 1.09-1.23). Low BMI is a risk factor for hip and all osteoporotic fracture, but is a protective factor for lower leg fracture, whereas high BMI is a risk factor for upper arm (humerus and elbow) fracture. When adjusted for BMD, low BMI remained a risk factor for hip fracture but was protective for osteoporotic fracture, tibia and fibula fracture, distal forearm fracture, and upper arm fracture. When adjusted for BMD, high BMI remained a risk factor for upper arm fracture but was also a risk factor for all osteoporotic fractures. The association between BMI and fracture risk is complex, differs across skeletal sites, and is modified by the interaction between BMI and BMD. At a population level, high BMI remains a protective factor for most sites of fragility fracture. The contribution of increasing population rates of obesity to apparent decreases in fracture rates should be explored.

  1. Children's body mass index, participation in school meals, and observed energy intake at school meals

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    Mackelprang Alyssa J

    2010-03-01

    Full Text Available Abstract Background Data from a dietary-reporting validation study with fourth-grade children were analyzed to investigate a possible relationship of body mass index (BMI with daily participation in school meals and observed energy intake at school meals, and whether the relationships differed by breakfast location (classroom; cafeteria. Methods Data were collected in 17, 17, and 8 schools during three school years. For the three years, six, six, and seven of the schools had breakfast in the classroom; all other schools had breakfast in the cafeteria. Information about 180 days of school breakfast and school lunch participation during fourth grade for each of 1,571 children (90% Black; 53% girls was available in electronic administrative records from the school district. Children were weighed and measured, and BMI was calculated. Each of a subset of 465 children (95% Black; 49% girls was observed eating school breakfast and school lunch on the same day. Mixed-effects regression was conducted with BMI as the dependent variable and school as the random effect; independent variables were breakfast participation, lunch participation, combined participation (breakfast and lunch on the same day, average observed energy intake for breakfast, average observed energy intake for lunch, sex, age, breakfast location, and school year. Analyses were repeated for BMI category (underweight/healthy weight; overweight; obese; severely obese using pooled ordered logistic regression models that excluded sex and age. Results Breakfast participation, lunch participation, and combined participation were not significantly associated with BMI or BMI category irrespective of whether the model included observed energy intake at school meals. Observed energy intake at school meals was significantly and positively associated with BMI and BMI category. For the total sample and subset, breakfast location was significantly associated with BMI; average BMI was larger for

  2. Identification of POMC exonic variants associated with substance dependence and body mass index.

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    Fan Wang

    Full Text Available BACKGROUND: Risk of substance dependence (SD and obesity has been linked to the function of melanocortin peptides encoded by the proopiomelanocortin gene (POMC. METHODS AND RESULTS: POMC exons were Sanger sequenced in 280 African Americans (AAs and 308 European Americans (EAs. Among them, 311 (167 AAs and 114 EAs were affected with substance (alcohol, cocaine, opioid and/or marijuana dependence and 277 (113 AAs and164 EAs were screened controls. We identified 23 variants, including two common polymorphisms (rs10654394 and rs1042571 and 21 rare variants; 12 of which were novel. We used logistic regression to analyze the association between the two common variants and SD or body mass index (BMI, with sex, age, and ancestry proportion as covariates. The common variant rs1042571 in the 3'UTR was significantly associated with BMI in EAs (Overweight: P(adj = 0.005; Obese: P(adj = 0.018; Overweight+Obese: P(adj = 0.002 but not in AAs. The common variant, rs10654394, was not associated with BMI and neither common variant was associated with SD in either population. To evaluate the association between the rare variants and SD or BMI, we collapsed rare variants and tested their prevalence using Fisher's exact test. In AAs, rare variants were nominally associated with SD overall and with specific SD traits (SD: P(FET,1df = 0.026; alcohol dependence: P(FET,1df = 0.027; cocaine dependence: P(FET,1df = 0.007; marijuana dependence: P(FET,1df = 0.050 (the P-value from cocaine dependence analysis survived Bonferroni correction. There was no such effect in EAs. Although the frequency of the rare variants did not differ significantly between the normal-weight group and the overweight or obese group in either population, certain rare exonic variants occurred only in overweight or obese subjects without SD. CONCLUSION: These findings suggest that POMC exonic variants may influence risk for both SD and elevated BMI, in a population-specific manner. However, common

  3. Genetic determinants of serum vitamin B12 and their relation to body mass index.

    Science.gov (United States)

    Allin, Kristine H; Friedrich, Nele; Pietzner, Maik; Grarup, Niels; Thuesen, Betina H; Linneberg, Allan; Pisinger, Charlotta; Hansen, Torben; Pedersen, Oluf; Sandholt, Camilla H

    2016-12-19

    Lower serum vitamin B12 levels have been related to adverse metabolic health profiles, including adiposity. We used a Mendelian randomization design to test whether this relation might be causal. We included two Danish population-based studies (ntotal = 9311). Linear regression was used to test for associations between (1) serum vitamin B12 levels and body mass index (BMI), (2) genetic variants and serum vitamin B12 levels, and (3) genetic variants and BMI. The effect of a genetically determined decrease in serum vitamin B12 on BMI was estimated by instrumental variable regression. Decreased serum vitamin B12 associated with increased BMI (P B12 associated variants associated strongly with serum vitamin B12 (P B12 was associated with a 0.09 kg/m(2) (95% CI 0.05; 0.13) increase in BMI (P = 3 × 10(-5)), whereas a genetically induced 20% decrease in serum vitamin B12 had no effect on BMI [-0.03 (95% CI -0.22; 0.16) kg/m(2)] (P = 0.74). Nevertheless, the strongest serum vitamin B12 variant, FUT2 rs602662, which was excluded from the B12 genetic risk score due to potential pleiotropic effects, showed a per allele effect of 0.15 kg/m(2) (95% CI 0.01; 0.32) on BMI (P = 0.03). This association was accentuated including two German cohorts (ntotal = 5050), with a combined effect of 0.19 kg/m(2) (95% CI 0.08; 0.30) (P = 4 × 10(-4)). We found no support for a causal role of decreased serum vitamin B12 levels in obesity. However, our study suggests that FUT2, through its regulation of the cross-talk between gut microbes and the human host, might explain a part of the observational association between serum vitamin B12 and BMI.

  4. Variability in the heritability of body mass index: a systematic review and meta-regression

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    Cathy E Elks

    2012-02-01

    Full Text Available Evidence for a major role of genetic factors in the determination of body mass index (BMI comes from studies of related individuals. However, heritability estimates for BMI vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified eighty-eight independent estimates of BMI heritability from twin studies (total 140,525 twins and twenty-seven estimates from family studies (42,968 family members. BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87 and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68. Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P=0.001 higher in children than in adults; estimates increased with mean age among childhood studies (+0.012 per year, P=0.002, but decreased with mean age in adult studies (-0.002 per year, P=0.002. Heritability estimates derived from AE twin models (which assume no contribution of shared environment were 0.12 higher than those from ACE models (P<0.001, whilst lower estimates were associated with self-reported versus DNA-based determination of zygosity (-0.04, P=0.02, and with self-reported versus measured BMI (-0.05, P=0.03. Together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.

  5. Operative Risk for Major Lung Resection Increases at Extremes of Body Mass Index

    Science.gov (United States)

    Williams, Trevor; Gulack, Brian C.; Kim, Sunghee; Fernandez, Felix G.; Ferguson, Mark K.

    2016-01-01

    Background Although body mass index (BMI) has been used in risk stratification for lung resection, many models only take obesity into account. Recent studies have demonstrated that underweight patients also experience increased postoperative complications. We explored the relationship of extremes of BMI to outcomes after lung resection for non-small cell cancer. Methods Patients in the Society of Thoracic Surgeons General Thoracic Surgery Database (2009 to 2014) undergoing elective lung resection for cancer were evaluated. Multivariable logistic regression was used to adjust for potential confounders including functional status and spirometry. Results We evaluated 41,446 patients (median 68 years of age; 53% female) grouped by BMI: underweight (<18.5 kg/m2; 3.0%), normal (18.5 to 24.9 kg/m2; 33.5%), overweight (25 to 29.9 kg/m2; 35.4%), obese I (30 to 34.9 kg/m2; 18.1%), obese II (35 to 39.9 kg/m2; 6.4%), and obese III (≥40 kg/m2; 3.6%). Pulmonary complication rates were higher in underweight and obese III patients compared to normal BMI patients (p < 0.001). On multivariable analysis, compared to patients with normal BMI, being underweight was associated with an increased risk of pulmonary complications (adjusted odds ratio [OR]: 1.41, 95% confidence interval [CI]: 1.16 to 1.70) and any postoperative event (adjusted OR: 1.44, 95% CI: 1.26 to 1.64). Obese III patients had an increased risk of any major postoperative complication (adjusted OR: 1.18, 95% CI: 1.02 to 1.36). Overweight and obese class I to II patients had a lower risk of pulmonary complications and any postoperative event. Conclusions BMI is associated with postoperative complications after lung resection for cancer. Being underweight or severely overweight is associated with an increased risk of complications, whereas being overweight or moderately obese appears to have a protective effect. PMID:27476820

  6. Proteinuria and its relation to diverse biomarkers and body mass index in chronic hemodialysis

    Directory of Open Access Journals (Sweden)

    Trimarchi H

    2013-06-01

    Full Text Available Hernán Trimarchi,1 Alexis Muryan,2 María-Soledad Raña,1 Pedro Paggi,2 Fernando Lombi,1 Mariano Forrester,1 Vanesa Pomeranz,1 Alejandra Karl,1 Mirta Alonso,2 Pablo Young,3 Mariana Dicugno2 1Department of Nephrology, 2Department of Biochemistry, 3Department of Internal Medicine Services, Hospital Británico de Buenos Aires, Buenos Aires, Argentina Background: Certain adipokines exert direct effects on proteinuria, a cardiovascular risk factor ignored in hemodialysis. We measured different adipokines according to body mass index (BMI in relation to proteinuria. Methods: Patients numbered 57: group A (GA, BMI 30, n = 20. There were no statistical differences in age, sex, time on dialysis, cause of renal failure, diabetes, hypertension, C-reactive protein, or nutritional status. Measures were taken of 24-hour diuresis and proteinuria, ultrafiltration, albumin, pro-brain natriuretic peptide (Pro-BNP, insulin, adiponectin, leptin, and ghrelin. Results: Proteinuria was significantly higher in GC versus (vs GA (1.5 g/day, range 0.30–14 vs 0.72 g/day, range 0.1–2.7; P 0.05. In GA, elevated levels of Pro-BNP, adiponectin, and ghrelin were associated with lower degrees of proteinuria. Significant correlations were found between adiponectin and leptin (ρ = -0.54, P = 0.03, and adiponectin and Pro-BNP (ρ= 0.59, P = 0.02. Though not significant, there were more diabetics in GC (GA four, GB three, GC ten. As BMI increased in GB and GC, Pro-BNP, adiponectin, and ghrelin levels decreased significantly, while proteinuria, insulin, and homeostasis model assessment of insulin resistance increased. Leptin levels were significantly elevated in GC vs GA and GB. In GC, ghrelin correlated significantly with Pro-BNP (ρ= 0.51, P = 0.03, while leptin correlation with Pro-BNP was inverse and significant in GA (ρ = -0.74, P > 0.001 and inverse and nonsignificant in GB and GC. Conclusion: In patients with BMI < 25, higher adiponectin, ghrelin, and Pro-BNP levels

  7. Associations of built food environment with body mass index and waist circumference among youth with diabetes

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    Lamichhane Archana P

    2012-06-01

    Full Text Available Abstract Background Youth with diabetes are at increased risk for obesity and cardiovascular disease complications. However, less is known about the influence of built food environment on health outcomes in this population. The aim of this study was to explore the associations of accessibility and availability of supermarkets and fast food outlets with Body Mass Index (BMI z-score and waist circumference among youth with diabetes. Methods Information on residential location and adiposity measures (BMI z-score and waist circumference for 845 youths with diabetes residing in South Carolina was obtained from the South Carolina site of the SEARCH for Diabetes in Youth study. Food outlets data obtained from the South Carolina Department of Health and Environmental Control and InfoUSA were merged based on names and addresses of the outlets. The comprehensive data on franchised supermarket and fast food outlets was then used to construct three accessibility and availability measures around each youth’s residence. Results Increased number and density of chain supermarkets around residence location were associated with lower BMI z-score and waist circumference among youth with diabetes. For instance, for a female child of 10 years of age with height of 54.2 inches and weight of 70.4 pounds, lower supermarket density around residence location was associated with about 2.8–3.2 pounds higher weight, when compared to female child of same age, height and weight with highest supermarket density around residence location. Similarly, lower supermarket density around residence location was associated with a 3.5–3.7 centimeter higher waist circumference, when compared to residence location with the highest supermarket density. The associations of number and density of chain fast food outlets with adiposity measures, however, were not significant. No significant associations were observed between distance to the nearest supermarket and adiposity measures

  8. A pooled analysis of body mass index and mortality among African Americans.

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    Sarah S Cohen

    Full Text Available Pooled analyses among whites and East Asians have demonstrated positive associations between all-cause mortality and body mass index (BMI, but studies of African Americans have yielded less consistent results. We examined the association between BMI and all-cause mortality in a sample of African Americans pooled from seven prospective cohort studies: NIH-AARP, 1995-2009; Adventist Health Study 2, 2002-2008; Black Women's Health Study, 1995-2009; Cancer Prevention Study II, 1982-2008; Multiethnic Cohort Study, 1993-2007; Prostate, Lung, Colorectal and Ovarian Screening Trial, 1993-2009; Southern Community Cohort Study, 2002-2009. 239,526 African Americans (including 100,175 never smokers without baseline heart disease, stroke, or cancer, age 30-104 (mean 52 and 71% female, were followed up to 26.5 years (mean 11.7. Hazard ratios (HR and 95% confidence intervals (CI for mortality were derived from multivariate Cox proportional hazards models. Among healthy, never smokers (11,386 deaths, HRs (CI for BMI 25-27.4, 27.5-29.9, 30-34.9, 35-39.9, 40-49.9, and 50-60 kg/m(2 were 1.02 (0.92-1.12, 1.06 (0.95-1.18, 1.32 (1.18-1.47, 1.54 (1.29-1.83, 1.93 (1.46-2.56, and 1.93 (0.80-4.69, respectively among men and 1.06 (0.99-1.15, 1.15 (1.06-1.25, 1.24 (1.15-1.34, 1.58 (1.43-1.74, 1.80 (1.60-2.02, and 2.31 (1.74-3.07 respectively among women (reference category 22.5-24.9. HRs were highest among those with the highest educational attainment, longest follow-up, and for cardiovascular disease mortality. Obesity was associated with a higher risk of mortality in African Americans, similar to that observed in pooled analyses of whites and East Asians. This study provides compelling evidence to support public health efforts to prevent excess weight gain and obesity in African Americans.

  9. Body mass index and the risk of dementia among Louisiana low income diabetic patients.

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    Gang Hu

    Full Text Available BACKGROUND: The association between obesity and dementia risk remains debatable and no studies have assessed this association among diabetic patients. The aim of our study was to investigate the association between body mass index (BMI and dementia risk among middle and low income diabetic patients. METHODOLOGY/PRINCIPAL FINDINGS: The sample included 44,660 diabetic patients (19,618 white and 25,042 African American 30 to 96 years of age without a history of dementia in the Louisiana State University Hospital-Based Longitudinal Study. During a mean follow-up period of 3.9 years, 388 subjects developed incident dementia. The age- and sex-adjusted hazards ratios (HRs for incident dementia at different levels of BMI (≤ 25, 25-26.9, 27-29.9, 30-34.9, and ≥ 35 kg/m(2 were 1.00, 0.53 (95% CI 0.34-0.83, 0.29 (0.18-0.45, 0.37 (0.25-0.56, and 0.31 (0.21-0.48 (P(trend<0.001 in white diabetic patients, and 1.00, 1.00 (95% CI 0.62-1.63, 0.62 (0.39-0.98, 0.56 (0.36-0.86, and 0.65 (0.43-1.01 (P(trend = 0.029 in African American diabetic patients. Further adjustment for other confounding factors affected the results only slightly. There was a significant interaction between race and BMI on dementia risk (χ(2 = 5.52, 1df, p<0.025, such that the association was stronger in white patients. In stratified analyses, the multivariate-adjusted inverse association between BMI and risk of dementia was present in subjects aged 55-64 years, 65-74 years, and ≥ 75 years, in men and women, in non-smokers and smokers, and in subjects with different types of health insurance. CONCLUSIONS/SIGNIFICANCE: Higher baseline BMI was associated with a lower risk of dementia among diabetic patients, and this association was stronger among white than among African American diabetic patients.

  10. Gender-Dependent Association of FTO Polymorphisms with Body Mass Index in Mexicans

    Science.gov (United States)

    Saldaña-Alvarez, Yolanda; Salas-Martínez, María Guadalupe; García-Ortiz, Humberto; Luckie-Duque, Angélica; García-Cárdenas, Gustavo; Vicenteño-Ayala, Hermenegildo; Cordova, Emilio J.; Esparza-Aguilar, Marcelino; Contreras-Cubas, Cecilia; Carnevale, Alessandra; Chávez-Saldaña, Margarita; Orozco, Lorena

    2016-01-01

    To evaluate the associations between six single-nucleotide polymorphisms (SNPs) in intron 1 of FTO and body mass index (BMI), a case-control association study of 2314 unrelated Mexican-Mestizo adult subjects was performed. The association between each SNP and BMI was tested using logistic and linear regression adjusted for age, gender, and ancestry and assuming additive, recessive, and dominant effects of the minor allele. Association analysis after BMI stratification showed that all five FTO SNPs (rs1121980, rs17817449, rs3751812, rs9930506, and rs17817449), were significantly associated with obesity class II/III under an additive model (P<0.05). Interestingly, we also documented a genetic model-dependent influence of gender on the effect of FTO variants on increased BMI. Two SNPs were specifically associated in males under a dominant model, while the remainder were associated with females under additive and recessive models (P<0.05). The SNP rs9930506 showed the highest increased in obesity risk in females (odds ratio = 4.4). Linear regression using BMI as a continuous trait also revealed differential FTO SNP contributions. Homozygous individuals for the risk alleles of rs17817449, rs3751812, and rs9930506 were on average 2.18 kg/m2 heavier than homozygous for the wild-type alleles; rs1121980 and rs8044769 showed significant but less-strong effects on BMI (1.54 kg/m2 and 0.9 kg/m2, respectively). Remarkably, rs9930506 also exhibited positive interactions with age and BMI in a gender-dependent manner. Women carrying the minor allele of this variant have a significant increase in BMI by year (0.42 kg/m2, P = 1.17 x 10−10). Linear regression haplotype analysis under an additive model, confirmed that the TGTGC haplotype harboring all five minor alleles, increased the BMI of carriers by 2.36 kg/m2 (P = 1.15 x 10−5). Our data suggest that FTO SNPs make differential contributions to obesity risk and support the hypothesis that gender differences in the mechanisms

  11. A prevalent polymorphism in the promoter of the UCP3 gene and its relationship to body mass index and long term body weight change in the Danish population

    DEFF Research Database (Denmark)

    Dalgaard, L T; Sørensen, Thomas; Drivsholm, T;

    2001-01-01

    Variability of the uncoupling protein 3 (UCP3) promoter has been associated with increased body mass index (BMI) and altered lipid profiles. Here we tested the hypothesis that variation of the UCP3 promoter is associated with either juvenile or maturity-onset obesity or body weight change over a 26...... of 744 obese Danish men who at the draft board examinations had a body mass index (BMI) of at least 31 kg/m(2), 2) a randomly selected control group consisting of 857 draftees, 3) 258 middle-aged subjects, and 4) 409 60-yr-old subjects. The frequency of the T allele was 26.0% (95% confidence interval, 23......-old subjects. The polymorphism was not associated with increased BMI or percent body fat in these 2 groups. It is concluded that this variant does not play a major role in the development of common obesity among Danish subjects....

  12. Changes in ponderal index and body mass index across childhood and their associations with fat mass and cardiovascular risk factors at age 15.

    Directory of Open Access Journals (Sweden)

    Laura D Howe

    Full Text Available BACKGROUND: Little is known about whether associations between childhood adiposity and later adverse cardiovascular health outcomes are driven by tracking of overweight from childhood to adulthood and/or by vascular and metabolic changes from childhood overweight that persist into adulthood. Our objective is to characterise associations between trajectories of adiposity across childhood and a wide range of cardiovascular risk factors measured in adolescence, and explore the extent to which these are mediated by fat mass at age 15. METHODS AND FINDINGS: Using data from the Avon Longitudinal Study of Parents and Children, we estimated individual trajectories of ponderal index (PI from 0-2 years and BMI from 2-10 years using random-effects linear spline models (N = 4601. We explored associations between PI/BMI trajectories and DXA-determined total-body fat-mass and cardiovascular risk factors at 15 years (systolic and diastolic blood pressure, fasting LDL- and HDL-cholesterol, triglycerides, C-reactive protein, glucose, insulin with and without adjustment for confounders. Changes in PI/BMI during all periods of infancy and childhood were associated with greater DXA-determined fat-mass at age 15. BMI changes in childhood, but not PI changes from 0-2 years, were associated with most cardiovascular risk factors in adolescence; associations tended to be strongest for BMI changes in later childhood (ages 8.5-10, and were largely mediated by fat mass at age 15. CONCLUSION: Changes in PI/BMI from 0-10 years were associated with greater fat-mass at age 15. Greater increases in BMI from age 8.5-10 years are most strongly associated with cardiovascular risk factors at age 15, with much of these associations mediated by fat-mass at this age. We found little evidence supporting previous reports that rapid PI changes in infancy are associated with future cardiovascular risk. This study suggests that associations between early overweight and subsequent

  13. Correlation between Body Mass Index and Waist Circumference in Patients with Metabolic Syndrome

    OpenAIRE

    Marcin Gierach; Joanna Gierach; Marlena Ewertowska; Adam Arndt; Roman Junik

    2014-01-01

    Metabolic syndrome is defined as a group of coexisting metabolic risk factors, such as central obesity, lipid disorders, carbohydrate disorders, and arterial hypertension. According to the 2005 IDF criteria, subsequently revised in 2009, abdominal obesity is identified as the waist circumference of ≥80 cm in women and ≥94 cm in men. It is responsible for the development of insulin resistance. The aim of our study was to demonstrate a correlation between waist circumference (WC) and body mass ...

  14. Trends in Parent-Child Correlations of Childhood Body Mass Index during the Development of the Obesity Epidemic

    DEFF Research Database (Denmark)

    Adeltoft, Teresa Ajslev; Ängquist, Lars Henrik; Silventoinen, Karri;

    2014-01-01

    BACKGROUND: The intergenerational resemblance in body mass index may have increased during the development of the obesity epidemic due to changes in environment and/or expression of genetic predisposition. OBJECTIVES: This study investigates trends in intergenerational correlations of childhood...... body mass index (BMI; kg/m2) during the emergence of the obesity epidemic. METHODS: The study population was derived from the Copenhagen School Health Records Register, which includes height and weight measurements since birth year 1930. Mothers and fathers with BMIs available at ages 7 (n = 25......,923 and n = 20,972) or 13 years (n = 26,750 and n = 21,397), respectively, were linked through the civil registration system introduced in 1968 to their children with BMIs available at age 7 years. Age- and sex-specific BMI z-scores were calculated. Correlations were estimated across eight intervals...

  15. Relation of intelligence quotient and body mass index in preschool children: a community-based cross-sectional study

    OpenAIRE

    Tabriz, A A; Sohrabi, M-R; Parsay, S; A Abadi; Kiapour, N; Aliyari, M; Ahmadi, F.; Roodaki, A

    2015-01-01

    Objective: Overweight and obesity in children is a global problem. Besides physical effects, obesity has harmful psychological effects on children. Methods: We carried out cross-sectional community-based study to investigate the relation between body mass index (BMI) and cognitive functioning in preschool children. Thirteen socioeconomical elements of 1151 children were measured and analyzed based on their intelligence quotient (IQ) test results. Thirteen out of 33 provinces were selected ran...

  16. Body mass index and incident hospitalisation for cardiovascular disease in 158 546 participants from the 45 and Up Study

    OpenAIRE

    Joshy, G; Korda, R J; Attia, J; Liu, B.; Bauman, A E; Banks, E.

    2013-01-01

    Objective: To investigate the relationship between fine gradations in body mass index (BMI) and risk of hospitalisation for different types of cardiovascular disease (CVD). Design, Subjects and Methods: The 45 and Up Study is a large-scale Australian cohort study initiated in 2006. Self-reported data from 158 546 individuals with no history of CVD were linked prospectively to hospitalisation and mortality data. Hazard ratios (HRs) of incident hospitalisation for specific CVD diagnoses in rela...

  17. Pregnancy outcomes related to gestational weight gain in women defined by their body mass index, parity, height, and smoking status

    DEFF Research Database (Denmark)

    Nøhr, Ellen Aagaard; Vaeth, Michael; Baker, Jennifer L

    2009-01-01

    BACKGROUND: Recommendations for gestational weight gain (GWG) account for a woman's prepregnancy body mass index (BMI), but other factors may be important. OBJECTIVES: The objectives were to investigate whether, within BMI categories, the GWG with the lowest risks to mother and infant varied...... of women. RESULTS: The risk of SGA decreased with increasing GWG in both parity groups, but SGA risk present only in obese primiparae and multiparae, but the PPWR risk increased with increasing GWG...

  18. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

    OpenAIRE

    Manning, Alisa K; Hivert, Marie-France; Scott, Robert A.; Grimsby, Jonna L; Bouatia-Naji, Nabila; Chen, Han; Rybin, Denis; Liu, Ching-Ti; Bielak, Lawrence F; Prokopenko, Inga; Amin, Najaf; Barnes, Daniel; Cadby, Gemma; Hottenga, Jouke-Jan; Ingelsson, Erik

    2012-01-01

    Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and beta-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associat...

  19. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

    DEFF Research Database (Denmark)

    Manning, Alisa K; Hivert, Marie-France; Scott, Robert A;

    2012-01-01

    pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci...... associated with fasting insulin at P role for these loci...... in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology....

  20. Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies

    OpenAIRE

    Yun-Liang Wang; Yu-Tong Wang; Jin-Feng Li; Yu-Zheng Zhang; Hong-Lei Yin; Bing Han

    2015-01-01

    Background A number of epidemiologic studies examining the relationship between body mass index (BMI) and the future occurrence of Parkinson’s disease (PD) reported largely inconsistent findings. We conducted a dose-response meta-analysis of prospective studies to clarify this association. Methods Eligible prospective studies were identified by a search of PubMed and by checking the references of related publications. The generalized least squares trend estimation was employed to compute stud...

  1. Pregnancy outcomes in a cohort of women with a preconception body mass index >50 kg/m²

    DEFF Research Database (Denmark)

    Bonnesen, Barbara; Secher, Niels J; Møller, Lars K

    2013-01-01

    We describe characteristics and risk factors regarding pregnancy outcome in women with a preconception body mass index (BMI) >50 kg/m(2) compared with women with BMI ≤50 kg/m(2) in a retrospective population cohort study in singleton pregnancies from the Danish Medical Birth Registry. Results were...... women with BMI ≤50 kg/m(2) . Women with an extremely high preconception BMI develop more pregnancy complications and their neonates appear affected by this as well....

  2. Predictors of Metabolic Syndrome in the Iranian Population: Waist Circumference, Body Mass Index, or Waist to Hip Ratio?

    OpenAIRE

    Mojgan Gharipour; Nizal Sarrafzadegan; Masoumeh Sadeghi; Elham Andalib; Mohammad Talaie; Davood Shafie; Esmaiel Aghababaie

    2013-01-01

    This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or waist to hip ratio (WHR) could be a better predictor of metabolic syndrome and, if so, what would be the cutoff points for these surrogates to appropriately differentiate metabolic syndrome in different age and sex subgroups. Methods. The present cross-sectional study was conducted on a sample of Isfahan Cohort Study (ICS). In total, 468 individuals (194 with and 274 subjects without metabolic syndrome...

  3. The development in body mass index, overweight and obesity in three regions in Denmark

    DEFF Research Database (Denmark)

    Toft, Ulla; Vinding, Anker Lund; Larsen, Finn Breinholt;

    2015-01-01

    .8% among men and women, respectively. Of the overweight men 12.8% were obese and 11.8% women were obese. The prevalence was highest in the Northern region and among those who were older, had short education, was outside labour market, had low income and residents in rural areas. In 2010, the prevalence...... of overweight had increased to 56.3% and 39.6% in men and women, respectively (P mass index was found among men in the Capital Region. Among women prevalence of overweight increased but not in those...

  4. There is no relationship between academic achievement and body mass index among fourth-grade, predominantly African-American children.

    Science.gov (United States)

    Baxter, Suzanne D; Guinn, Caroline H; Tebbs, Joshua M; Royer, Julie A

    2013-04-01

    School-based initiatives to combat childhood obesity may use academic performance to measure success. This cross-sectional study investigated the relationship between academic achievement and body mass index percentile, socioeconomic status (SES), and race by linking existing datasets that are not routinely linked. Data from a school-based project (with National Institutes of Health funding) concerning dietary recall accuracy were linked with data from the state's Department of Education through the state's Office of Research and Statistics. Data were available on 1,504 fourth-grade, predominantly African-American children from 18 schools total in one district in South Carolina during the 2004-2005, 2005-2006, and 2006-2007 school years. School staff administered standardized tests in English, math, social studies, and science. Researchers measured children's weight and height. Children were categorized as low-SES, medium-SES, or high-SES based on eligibility for free, reduced-price, or full-price school meals, respectively. Results from marginal regression analyses for each sex for the four academic subjects, separately and combined, showed that test scores were not related to body mass index percentile, but were positively related to SES (P values academic performance and obesity across kindergarten through 12th-grade children. State agencies can house body mass index data in state-based central repositories where staff can use globally unique identifiers and link data across agencies. Results from such studies could potentially change the way school administrators view nutrition and physical education.

  5. Relationship Between Body Mass Index and Medical Care Expenditures for North Carolina Adolescents Enrolled in Medicaid in 2004

    Directory of Open Access Journals (Sweden)

    Paul A. Buescher, PhD

    2008-01-01

    Full Text Available IntroductionMany studies document that overweight and obese adults have substantially higher medical care expenditures than do adults of normal weight, but comparable data for children or adolescents are few. This study examines patterns of expenditure for medical care and use of medical care services among a sample of North Carolina adolescents enrolled in Medicaid, stratified by body mass index categories.MethodsNorth Carolina public health records, which include clinically measured height and weight, were linked to 2004 North Carolina Medicaid enrollment records to find adolescents aged 12–18 years whose records matched. We then examined all paid claims for 2004 of the 3528 adolescents whose records matched. Total expenditures by sex and race, hospital costs, physician costs, and prescription drug costs were tabulated and stratified by body mass index. We also examined, by body mass index, the percentage of adolescents who had a paid claim for selected diagnosed health conditions.ResultsOverall, and for most demographic and service categories, overweight adolescents and at-risk-for-overweight adolescents had higher average Medicaid expenditures than did normal-weight adolescents. Some of these differences were statistically significant. Overweight adolescents were significantly more likely to have a paid claim for services related to diabetes, asthma, or other respiratory conditions.ConclusionAlthough based on a small sample, our results suggest that overweight has negative health consequences as early as adolescence. Further studies with larger samples could help confirm the findings of our study.

  6. Body Mass Index and Hospital Mortality in Patients with Acute Coronary Syndrome Receiving Care in a University Hospital

    Directory of Open Access Journals (Sweden)

    Mercedes Camprubi

    2012-01-01

    Full Text Available Although obesity is a well-established cardiovascular risk factor, some controversy has arisen with regard to its effect on hospital mortality in patients admitted for acute coronary syndrome. Methods. Clinical and anthropometric variables were analyzed in patients consecutively admitted for acute coronary syndrome to a university hospital between 2009 and 2010, and the correlation of those variables with hospital mortality was examined. Results. A total of 824 patients with a diagnosis of myocardial infarction or unstable angina were analyzed. Body mass index was an independent factor in hospital mortality (odds ratio 0.739 (IC 95%: 0.597-0.916, P=0.006. Mortality in normal weight (n=218, overweight (n=399, and obese (n=172 subjects was 6.1%, 3.1%, and 4.1%, respectively, with no statistically significant differences between the groups. Conclusions. There is something of a paradox in the relationship between body mass index and hospital mortality in patients with acute coronary syndrome in that the mortality rate decreases as body mass index increases. However, no statistically significant differences have been found in normal weight, overweight, or obese subjects.

  7. Body dissatisfaction and self-esteem in female students aged 9-15: the effects of age, family income, body mass index levels and dance practice.

    Science.gov (United States)

    Monteiro, Lilian A; Novaes, Jefferson S; Santos, Mara L; Fernandes, Helder M

    2014-09-29

    This study aimed to analyze the effects of age, family income, body mass index and dance practice on levels of body dissatisfaction and self-esteem in female students. The sample consisted of 283 female subjects attending a public school with a mean age of 11.51±1.60 years and a mean body mass index of 18.72 kg/m2 (SD=3.32). The instruments used were the Body Dissatisfaction Scale for Adolescents and the Rosenberg Self-Esteem Scale, both of which showed good internal consistency (0.77 and 0.81, respectively). The tests were applied (two-factor ANOVA) to compare the students practicing and those not practicing dance; the differences in the levels of body dissatisfaction (p=0.104) and self-esteem (p=0.09) were considered significant. The results demonstrated that age negatively correlated with body dissatisfaction (r=-0.19; pself-esteem (r=-0.17, pdance had a significant effect on levels of body dissatisfaction (F=4.79; p=0.030; η(2)=0.02), but there was no significant difference in self-esteem (F=1.88; p=0.172; η(2)=0.02). It can be concluded that female children and adolescents practicing dance have higher self-esteem, and are more satisfied with their body weight and their appearance. Moreover, results showed that self-esteem and body dissatisfaction were influenced by the body mass index levels only in the non-practitioners group.

  8. Ethnic differences in the relationship between body mass index and percentage body fat among Asian children from different backgrounds.

    Science.gov (United States)

    Liu, Ailing; Byrne, Nuala M; Kagawa, Masaharu; Ma, Guansheng; Poh, Bee Koon; Ismail, Mohammad Noor; Kijboonchoo, Kallaya; Nasreddine, Lara; Trinidad, Trinidad Palad; Hills, Andrew P

    2011-11-01

    Overweight and obesity in Asian children are increasing at an alarming rate; therefore a better understanding of the relationship between BMI and percentage body fat (%BF) in this population is important. A total of 1039 children aged 8-10 years, encompassing a wide BMI range, were recruited from China, Lebanon, Malaysia, The Philippines and Thailand. Body composition was determined using the 2H dilution technique to quantify total body water and subsequently fat mass, fat-free mass and %BF. Ethnic differences in the BMI-%BF relationship were found; for example, %BF in Filipino boys was approximately 2 % lower than in their Thai and Malay counterparts. In contrast, Thai girls had approximately 2.0 % higher %BF values than in their Chinese, Lebanese, Filipino and Malay counterparts at a given BMI. However, the ethnic difference in the BMI-%BF relationship varied by BMI. Compared with Caucasian children of the same age, Asian children had 3-6 units lower BMI at a given %BF. Approximately one-third of the obese Asian children (%BF above 25 % for boys and above 30 % for girls) in the study were not identified using the WHO classification and more than half using the International Obesity Task Force classification. Use of the Chinese classification increased the sensitivity. Results confirmed the necessity to consider ethnic differences in body composition when developing BMI cut-points and other obesity criteria in Asian children.

  9. Nutritional Status of Maintenance Dialysis Patients: Low Lean Body Mass Index and Obesity Are Common, Protein-Energy Wasting Is Uncommon.

    Directory of Open Access Journals (Sweden)

    Mette Koefoed

    Full Text Available Maintenance dialysis patients are at increased risk of abnormal nutritional status due to numerous causative factors, both nutritional and non-nutritional. The present study assessed the current prevalence of protein-energy wasting, low lean body mass index and obesity in maintenance dialysis patients, and compared different methods of nutritional assessment.In a cross-sectional study conducted in 2014 at Roskilde Hospital, Denmark, we performed anthropometry (body weight, skinfolds, mid-arm, waist, and hip circumferences, and determined plasma albumin and normalized protein catabolic rate in order to assess the prevalence of protein-energy wasting, low lean body mass index and obesity in these patients.Seventy-nine eligible maintenance dialysis patients participated. The prevalence of protein-energy wasted patients was 4% (95% CI: 2-12 as assessed by the coexistence of low lean body mass index and low fat mass index. Low lean body mass index was seen in 32% (95% CI: 22-44. Obesity prevalence as assessed from fat mass index was 43% (95% CI: 32-55. Coexistence of low lean body mass index and obesity was seen in 10% (95% CI: 5-19. The prevalence of protein-energy wasting and obesity varied considerably, depending on nutritional assessment methodology.Our data indicate that protein-energy wasting is uncommon, whereas low lean body mass index and obesity are frequent conditions among patients in maintenance dialysis. A focus on how to increase and preserve lean body mass in dialysis patients is suggested in the future. In order to clearly distinguish between shortage, sufficiency and abundance of protein and/or fat deposits in maintenance dialysis patients, we suggest the simple measurements of lean body mass index and fat mass index.

  10. VALIDITY OF BODY DENSITY WITH METHODS OF BODY MASS INDEX, SKIN FOLD, BIO- ELECTRICAL IMPEDANCE & CRITERION METHOD OF HYDROSTATIC IN MEN ATHLETES OF SWIMMING

    Directory of Open Access Journals (Sweden)

    M Bayat KASHKOLİ

    2011-12-01

    Full Text Available The goal of present research is estimating and validity of body density with methods of Body Mass Index, Skin Fold, Bio-Electrical Impedance and Criterion Method of Hydrostatic in men athletes of swimming. The present research has been conducted with semi-experimental and functional method. For doing so 25 men swimming athletes were randomly selected (N= 120. Statistical analysis was conducted with Pearson coefficient, correlated T-test, TE & SEE. The results of statistical analysis show that the method of Skin Fold Stat with hydrostatic criterion method has meaningful difference in society of swimmers. Also there is meaningful difference between body mass index and criterion method. There was not any meaningful difference between bio-electrical impedance and criterion method in swimmers. (TE=3.01, SEE=2.91, R=0.924, P=0.064. The findings show that that bio-electrical impedance in swimmer athletes is more suitable method.

  11. Differentiating the associations of waist circumference and body mass index with cardiovascular disease risk in a Chinese population.

    Science.gov (United States)

    Li, Rui; Shi, Liang; Jia, Jian; Li, Yanyun; Yang, Qundi; Ruan, Ye; Chen, Renjie; Kan, Haidong

    2015-03-01

    It is not known which obesity index best explains variations in cardiovascular disease risk across populations. The objective of this study was to differentiate the associations of waist circumference (WC) and body mass index (BMI) with cardiovascular disease risk in a Chinese population. Cardiovascular risk factors, WC, and BMI were measured in 13 817 adults aged more than 18 years in Shanghai. Higher WC tertiles were associated with higher blood pressure and higher cholesterol, triacylglycerol, and glucose concentrations within each tertile of BMI and vice versa. The odds ratios (ORs) of hypertension, dyslipidemia, and metabolic syndrome increased with successive WC (or BMI) tertiles after adjustment for BMI (or WC) and several covariates. However, BMI tertiles were not associated with the ORs of diabetes after adjustment for WC. WC may be better than BMI as an alternative measure of body fatness or fat distribution for predicting diabetic risks in Chinese adults.

  12. Body mass index and age at menarche in Peruvian children living at high altitude and at sea level.

    Science.gov (United States)

    Gonzales, G F; Villena, A

    1996-04-01

    The present study was designed to determine the relationship between body mass index (BMI) and age at menarche in girls (aged 10-19 years) living in Lima (150 m) and in Cerro de Pasco (4340 m above sea level). The purpose of the study was to determine whether the relationships between BMI and both age at menarche and chronological age differ between girls living at low and at high altitude. The ratio weight/height (the Benn