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Sample records for abuse multivariate analysis

  1. Robust multivariate analysis

    CERN Document Server

    J Olive, David

    2017-01-01

    This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given.  The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory.   The robust techniques  are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis.  A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with...

  2. Multivariate analysis with LISREL

    CERN Document Server

    Jöreskog, Karl G; Y Wallentin, Fan

    2016-01-01

    This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

  3. Methods of Multivariate Analysis

    CERN Document Server

    Rencher, Alvin C

    2012-01-01

    Praise for the Second Edition "This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE Transactions Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life sit

  4. Risk factors for mortality in children with abusive head trauma.

    Science.gov (United States)

    Shein, Steven L; Bell, Michael J; Kochanek, Patrick M; Tyler-Kabara, Elizabeth C; Wisniewski, Stephen R; Feldman, Kenneth; Makoroff, Kathi; Scribano, Philip V; Berger, Rachel P

    2012-10-01

    We sought to identify risk factors for mortality in a large clinical cohort of children with abusive head trauma. Bivariate analysis and multivariable logistic regression models identified demographic, physical examination, and radiologic findings associated with in-hospital mortality of children with abusive head trauma at 4 pediatric centers. An initial Glasgow Coma Scale (GCS) ≤ 8 defined severe abusive head trauma. Data are shown as OR (95% CI). Analysis included 386 children with abusive head trauma. Multivariable analysis showed children with initial GCS either 3 or 4-5 had increased mortality vs children with GCS 12-15 (OR = 57.8; 95% CI, 12.1-277.6 and OR = 15.6; 95% CI, 2.6-95.1, respectively, P < .001). Additionally, retinal hemorrhage (RH), intraparenchymal hemorrhage, and cerebral edema were independently associated with mortality. In the subgroup with severe abusive head trauma and RH (n = 117), cerebral edema and initial GCS of 3 or 4-5 were independently associated with mortality. Chronic subdural hematoma was independently associated with survival. Low initial GCS score, RH, intraparenchymal hemorrhage, and cerebral edema are independently associated with mortality in abusive head trauma. Knowledge of these risk factors may enable researchers and clinicians to improve the care of these vulnerable children. Copyright © 2012 Mosby, Inc. All rights reserved.

  5. Multivariate analysis: models and method

    International Nuclear Information System (INIS)

    Sanz Perucha, J.

    1990-01-01

    Data treatment techniques are increasingly used since computer methods result of wider access. Multivariate analysis consists of a group of statistic methods that are applied to study objects or samples characterized by multiple values. A final goal is decision making. The paper describes the models and methods of multivariate analysis

  6. Applied multivariate statistical analysis

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.  It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added.  All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior.  All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate ...

  7. Types of abuse and risk factors associated with elder abuse.

    Science.gov (United States)

    Simone, Lacher; Wettstein, Albert; Senn, Oliver; Rosemann, Thomas; Hasler, Susann

    2016-01-01

    Detecting elder abuse is challenging because it is a taboo, and many cases remain unreported. This study aimed to identify types of elder abuse and to investigate its associated risk factors. Retrospective analyses of 903 dossiers created at an Independent Complaints Authority for Old Age in the Canton of Zurich, Switzerland, from January 1, 2008 to October 31, 2012. Characteristics of victims and perpetrators, types of abuse, and associated risk factors related to the victim or the perpetrator were assessed. Bi- and multivariate analysis were used to identify abuse and neglect determinants. A total of 150 cases reflected at least one form of elder abuse or neglect; 104 cases were categorised as abuse with at least one type of abuse (overall 135 mentions), 46 cases were categorised as neglect (active or passive). Psychological abuse was the most reported form (47%), followed by financial (35%), physical (30%) and anticonstitutional abuse (18%). In 81% of the 150 cases at least two risk factors existed. In 13% no associated risk factor could be identified. Compared with neglect, elders with abuse were less likely to be a nursing home resident than living at home (odds ratio [OR] 0.02, 95% confidence interval [CI] 0.00-0.19). In addition, they were more likely to be cohabiting with their perpetrators (OR 18.01, 95% CI 4.43-73.19). For the majority of the reported elder abuse cases at least two associated risk factors could be identified. Knowledge about these red flags and a multifaceted strategy are needed to identify and prevent elder abuse.

  8. Multivariate meta-analysis: Potential and promise

    Science.gov (United States)

    Jackson, Dan; Riley, Richard; White, Ian R

    2011-01-01

    The multivariate random effects model is a generalization of the standard univariate model. Multivariate meta-analysis is becoming more commonly used and the techniques and related computer software, although continually under development, are now in place. In order to raise awareness of the multivariate methods, and discuss their advantages and disadvantages, we organized a one day ‘Multivariate meta-analysis’ event at the Royal Statistical Society. In addition to disseminating the most recent developments, we also received an abundance of comments, concerns, insights, critiques and encouragement. This article provides a balanced account of the day's discourse. By giving others the opportunity to respond to our assessment, we hope to ensure that the various view points and opinions are aired before multivariate meta-analysis simply becomes another widely used de facto method without any proper consideration of it by the medical statistics community. We describe the areas of application that multivariate meta-analysis has found, the methods available, the difficulties typically encountered and the arguments for and against the multivariate methods, using four representative but contrasting examples. We conclude that the multivariate methods can be useful, and in particular can provide estimates with better statistical properties, but also that these benefits come at the price of making more assumptions which do not result in better inference in every case. Although there is evidence that multivariate meta-analysis has considerable potential, it must be even more carefully applied than its univariate counterpart in practice. Copyright © 2011 John Wiley & Sons, Ltd. PMID:21268052

  9. Multivariate analysis methods in physics

    International Nuclear Information System (INIS)

    Wolter, M.

    2007-01-01

    A review of multivariate methods based on statistical training is given. Several multivariate methods useful in high-energy physics analysis are discussed. Selected examples from current research in particle physics are discussed, both from the on-line trigger selection and from the off-line analysis. Also statistical training methods are presented and some new application are suggested [ru

  10. Parent abuse by adolescents with first-episode psychosis in Egypt.

    Science.gov (United States)

    Fawzi, Mounir H; Fawzi, Mohab M; Fouad, Amira A

    2013-12-01

    To determine the rate of parent abuse in a sample of Egyptian adolescents with first-episode psychosis (FEP) and to identify the association between parent abuse and a number of sociodemographic and clinical factors of interest in these patients. As yet, the abuse of parents by their children, especially mentally ill children, in contrast to child abuse, has remained a research taboo. In a cross-sectional study in Zagazig (Egypt), a sample of 150 adolescent outpatients (82 boys; 68 girls), presenting with FEP, was assessed for the occurrence of parent abuse using both interview and questionnaire methods (Abused Parent Questionnaire, APQ). Univariate analyses were used to compare parent abusers and nonabusers along a number of sociodemographic and clinical variables. Variables that were associated with parent abuse were entered into a multivariate logistic regression analysis model. We found that 61 patients (40.7%) perpetrated abuse against parents, mostly mothers (55/61; 90.2%). Five significant risk factors for parent abuse were identified by multivariate analysis. These were parent's female gender (95% CI = 7.82-45.56), patient's male gender (95% CI = 3.15-37.14), Childhood Trauma Questionnaire - Short Form total score (95% CI = 1.48-14.91), Positive and Negative Syndrome Scale positive subscale score (95% CI = 1.26-9.59), and duration of untreated psychosis (95% CI = 1.01-4.72). The study indicates that parent abuse, particularly mother abuse, in untreated adolescents with FEP is an issue calling for increased awareness of the problem. The findings may have important implications for parental psychoeducation and support, and earlier access to treatment. Copyright © 2013 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  11. Exploratory multivariate analysis by example using R

    CERN Document Server

    Husson, Francois; Pages, Jerome

    2010-01-01

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis.The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the prin

  12. Multivariate survival analysis and competing risks

    CERN Document Server

    Crowder, Martin J

    2012-01-01

    Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

  13. Method for statistical data analysis of multivariate observations

    CERN Document Server

    Gnanadesikan, R

    1997-01-01

    A practical guide for multivariate statistical techniques-- now updated and revised In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of inte

  14. Burnout and Alcohol Abuse/Dependence Among U.S. Medical Students.

    Science.gov (United States)

    Jackson, Eric R; Shanafelt, Tait D; Hasan, Omar; Satele, Daniel V; Dyrbye, Liselotte N

    2016-09-01

    To explore the relationship between alcohol abuse/dependence with burnout and other forms of distress among a national cohort of medical students. In 2012, the authors completed a national survey of medical students from the American Medical Association's Physician Masterfile containing validated items assessing alcohol abuse/dependence, burnout, depression, suicidality, quality of life (QOL), and fatigue. Descriptive and comparative statistical analyses were computed, including chi-square and multivariate logistic regression, to determine relationships between variables. Of the 12,500 students, 4,402 (35.2%) responded. Of these, 1,411 (32.4%) met diagnostic criteria for alcohol abuse/dependence. Students who were burned out (P = .01), depressed (P = .01), or reported low mental (P =.03) or emotional (P = .016) QOL were more likely to have alcohol abuse/dependence. Emotional exhaustion and depersonalization domains of burnout were strongly associated with alcohol abuse/dependence. On multivariate analysis, burnout (OR 1.20; 95% CI 1.05-1.37; P $100,000 (OR 1.27 versus dependence. Burnout was strongly related to alcohol abuse/dependence among sampled medical students and increased educational debt predicted a higher risk. A multifaceted approach addressing burnout, medical education costs, and alcohol use is needed.

  15. Matrix-based introduction to multivariate data analysis

    CERN Document Server

    Adachi, Kohei

    2016-01-01

    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter. This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on ...

  16. Multivariate Regression Analysis and Slaughter Livestock,

    Science.gov (United States)

    AGRICULTURE, *ECONOMICS), (*MEAT, PRODUCTION), MULTIVARIATE ANALYSIS, REGRESSION ANALYSIS , ANIMALS, WEIGHT, COSTS, PREDICTIONS, STABILITY, MATHEMATICAL MODELS, STORAGE, BEEF, PORK, FOOD, STATISTICAL DATA, ACCURACY

  17. Multivariate refined composite multiscale entropy analysis

    International Nuclear Information System (INIS)

    Humeau-Heurtier, Anne

    2016-01-01

    Multiscale entropy (MSE) has become a prevailing method to quantify signals complexity. MSE relies on sample entropy. However, MSE may yield imprecise complexity estimation at large scales, because sample entropy does not give precise estimation of entropy when short signals are processed. A refined composite multiscale entropy (RCMSE) has therefore recently been proposed. Nevertheless, RCMSE is for univariate signals only. The simultaneous analysis of multi-channel (multivariate) data often over-performs studies based on univariate signals. We therefore introduce an extension of RCMSE to multivariate data. Applications of multivariate RCMSE to simulated processes reveal its better performances over the standard multivariate MSE. - Highlights: • Multiscale entropy quantifies data complexity but may be inaccurate at large scale. • A refined composite multiscale entropy (RCMSE) has therefore recently been proposed. • Nevertheless, RCMSE is adapted to univariate time series only. • We herein introduce an extension of RCMSE to multivariate data. • It shows better performances than the standard multivariate multiscale entropy.

  18. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

    Full Text Available In the focus of this paper is a multivariate analysis of Croatian Counties entrepreneurship. Complete data base available by official statistic institutions at national and regional level is used. Modern econometric methodology starting from a comparative analysis via multiple regression to multivariate cluster analysis is carried out as well as the analysis of successful or inefficacious entrepreneurship measured by indicators of efficiency, profitability and productivity. Time horizons of the comparative analysis are in 2004 and 2010. Accelerators of socio-economic development - number of entrepreneur investors, investment in fixed assets and current assets ratio in multiple regression model are analytically filtered between twenty-six independent variables as variables of the dominant influence on GDP per capita in 2010 as dependent variable. Results of multivariate cluster analysis of twentyone Croatian Counties are interpreted also in the sense of three Croatian NUTS 2 regions according to European nomenclature of regional territorial division of Croatia.

  19. Content Analysis of Measures for Identification of Elder Abuse.

    Science.gov (United States)

    Sengstock, Mary C.; And Others

    Measures designed to detect elder abuse lack uniformity as a result of having been designed in isolation. To develop and test a uniform index for the identification of elder abuse victims, an analysis of existing abuse identification instruments was conducted. Initially, seven elder abuse identification measures were content analyzed, resulting in…

  20. Multivariate Methods for Meta-Analysis of Genetic Association Studies.

    Science.gov (United States)

    Dimou, Niki L; Pantavou, Katerina G; Braliou, Georgia G; Bagos, Pantelis G

    2018-01-01

    Multivariate meta-analysis of genetic association studies and genome-wide association studies has received a remarkable attention as it improves the precision of the analysis. Here, we review, summarize and present in a unified framework methods for multivariate meta-analysis of genetic association studies and genome-wide association studies. Starting with the statistical methods used for robust analysis and genetic model selection, we present in brief univariate methods for meta-analysis and we then scrutinize multivariate methodologies. Multivariate models of meta-analysis for a single gene-disease association studies, including models for haplotype association studies, multiple linked polymorphisms and multiple outcomes are discussed. The popular Mendelian randomization approach and special cases of meta-analysis addressing issues such as the assumption of the mode of inheritance, deviation from Hardy-Weinberg Equilibrium and gene-environment interactions are also presented. All available methods are enriched with practical applications and methodologies that could be developed in the future are discussed. Links for all available software implementing multivariate meta-analysis methods are also provided.

  1. Factors associated with child sexual abuse confirmation at forensic examinations

    Directory of Open Access Journals (Sweden)

    Welington dos Santos Silva

    Full Text Available Abstract The aim of this study is identify potential factors associated with child sexual abuse confirmation at forensic examinations. The forensic files of children under 12 years of age reporting sexual abuse at the Nina Rodrigues Institute of Forensic Medicine in Salvador, Bahia, Brazil between January 2008 and December 2009 were reviewed. A multivariate analysis was conducted to identify factors associated with finding evidence of sexual abuse in forensic examinations. The proportion of cases confirmed by the forensic physician based on material evidence was 10.4%. Adjusted analysis showed that the variables place of birth, type of abuse reported, family relationship between the child and the perpetrator, and the interval between the reported abuse and the forensic examination were not independently associated with finding forensic evidence of sexual abuse. A report of penetration was associated with a five-fold greater likelihood of confirmation, while the victim being 10-11 years of age was associated with a two-fold of abuse confirmation than younger children. These findings should be taken into consideration when drawing up guidelines for the multidisciplinary evaluation of children suspected of being victims of sexual abuse and in deciding whether to refer the child for forensic examination.

  2. Impact of functional and structural social relationships on two year depression outcomes: A multivariate analysis.

    Science.gov (United States)

    Davidson, Sandra K; Dowrick, Christopher F; Gunn, Jane M

    2016-03-15

    High rates of persistent depression highlight the need to identify the risk factors associated with poor depression outcomes and to provide targeted interventions to people at high risk. Although social relationships have been implicated in depression course, interventions targeting social relationships have been disappointing. Possibly, interventions have targeted the wrong elements of relationships. Alternatively, the statistical association between relationships and depression course is not causal, but due to shared variance with other factors. We investigated whether elements of social relationships predict major depressive episode (MDE) when multiple relevant variables are considered. Data is from a longitudinal study of primary care patients with depressive symptoms. 494 participants completed questionnaires at baseline and a depression measure (PHQ-9) two years later. Baseline measures included functional (i.e. quality) and structural (i.e. quantity) social relationships, depression, neuroticism, chronic illness, alcohol abuse, childhood abuse, partner violence and sociodemographic characteristics. Logistic regression with generalised estimating equations was used to estimate the association between social relationships and MDE. Both functional and structural social relationships predicted MDE in univariate analysis. Only functional social relationships remained significant in multivariate analysis (OR: 0.87; 95%CI: 0.79-0.97; p=0.01). Other unique predictors of MDE were baseline depression severity, neuroticism, childhood sexual abuse and intimate partner violence. We did not assess how a person's position in their depression trajectory influenced the association between social relationships and depression. Interventions targeting relationship quality may be part of a personalised treatment plan for people at high risk due of persistent depression due to poor social relationships. Copyright © 2015 Elsevier B.V. All rights reserved.

  3. Global Prevalence of Elder Abuse: A Meta-analysis and Meta-regression.

    Science.gov (United States)

    Ho, C Sh; Wong, S Y; Chiu, M M; Ho, R Cm

    2017-06-01

    Elder abuse is increasingly recognised as a global public health and social problem. There has been limited inter-study comparison of the prevalence and risk factors for elder abuse. This study aimed to estimate the pooled and subtype prevalence of elder abuse worldwide and identify significant associated risk factors. We conducted a meta-analysis and meta-regression of 34 population-based and 17 non-population-based studies. The pooled prevalences of elder abuse were 10.0% (95% confidence interval, 5.2%-18.6%) and 34.3% (95% confidence interval, 22.9%-47.8%) in population-based studies and third party- or caregiver-reported studies, respectively. Being in a marital relationship was found to be a significant moderator using random-effects model. This meta-analysis revealed that third parties or caregivers were more likely to report abuse than older abused adults. Subgroup analyses showed that females and those resident in non-western countries were more likely to be abused. Emotional abuse was the most prevalent elder abuse subtype and financial abuse was less commonly reported by third parties or caregivers. Heterogeneity in the prevalence was due to the high proportion of married older adults in the sample. Subgroup analysis showed that cultural factors, subtypes of abuse, and gender also contributed to heterogeneity in the pooled prevalence of elder abuse.

  4. Multivariate analysis of 2-DE protein patterns - Practical approaches

    DEFF Research Database (Denmark)

    Jacobsen, Charlotte; Jacobsen, Susanne; Grove, H.

    2007-01-01

    Practical approaches to the use of multivariate data analysis of 2-DE protein patterns are demonstrated by three independent strategies for the image analysis and the multivariate analysis on the same set of 2-DE data. Four wheat varieties were selected on the basis of their baking quality. Two...... of the varieties were of strong baking quality and hard wheat kernel and two were of weak baking quality and soft kernel. Gliadins at different stages of grain development were analyzed by the application of multivariate data analysis on images of 2-DEs. Patterns related to the wheat varieties, harvest times...

  5. The Medical Analysis of Child Sexual Abuse Images

    Science.gov (United States)

    Cooper, Sharon W.

    2011-01-01

    Analysis of child sexual abuse images, commonly referred to as pornography, requires a familiarity with the sexual maturation rating of children and an understanding of growth and development parameters. This article explains barriers that exist in working in this area of child abuse, the differences between subjective and objective analyses,…

  6. Multivariate Analysis and Machine Learning in Cerebral Palsy Research.

    Science.gov (United States)

    Zhang, Jing

    2017-01-01

    Cerebral palsy (CP), a common pediatric movement disorder, causes the most severe physical disability in children. Early diagnosis in high-risk infants is critical for early intervention and possible early recovery. In recent years, multivariate analytic and machine learning (ML) approaches have been increasingly used in CP research. This paper aims to identify such multivariate studies and provide an overview of this relatively young field. Studies reviewed in this paper have demonstrated that multivariate analytic methods are useful in identification of risk factors, detection of CP, movement assessment for CP prediction, and outcome assessment, and ML approaches have made it possible to automatically identify movement impairments in high-risk infants. In addition, outcome predictors for surgical treatments have been identified by multivariate outcome studies. To make the multivariate and ML approaches useful in clinical settings, further research with large samples is needed to verify and improve these multivariate methods in risk factor identification, CP detection, movement assessment, and outcome evaluation or prediction. As multivariate analysis, ML and data processing technologies advance in the era of Big Data of this century, it is expected that multivariate analysis and ML will play a bigger role in improving the diagnosis and treatment of CP to reduce mortality and morbidity rates, and enhance patient care for children with CP.

  7. Toxicological Analysis of Some Drugs of Abuse in Biological Samples

    Directory of Open Access Journals (Sweden)

    Anne Marie Ciobanu

    2015-10-01

    Full Text Available Consumption of drugs of abuse is a scourge of modern world. Abuse, drug addiction and their consequences are one of the major current problems of European society because of the significant repercussions in individual, family, social and economic level. In this context, toxicological analysis of the drugs of abuse in biological samples is a useful tool for: diagnosis of drug addiction, checking an auto-response, mandatory screening in some treatment programs, identification of a substance in the case of an overdose, determining compliance of the treatment. The present paper aims to address the needs of healthcare professionals involved in drugs addiction treatment through systematic presentation of information regarding their toxicological analysis. Basically, it is a tool that help you to select the suitable biological sample and the right collecting time, as well as the proper analysis technique, depending on the purpose of analysis, pharmacokinetic characteristics of the drugs of abuse, available equipment and staff expertise.

  8. Multivariate statistical analysis a high-dimensional approach

    CERN Document Server

    Serdobolskii, V

    2000-01-01

    In the last few decades the accumulation of large amounts of in­ formation in numerous applications. has stimtllated an increased in­ terest in multivariate analysis. Computer technologies allow one to use multi-dimensional and multi-parametric models successfully. At the same time, an interest arose in statistical analysis with a de­ ficiency of sample data. Nevertheless, it is difficult to describe the recent state of affairs in applied multivariate methods as satisfactory. Unimprovable (dominating) statistical procedures are still unknown except for a few specific cases. The simplest problem of estimat­ ing the mean vector with minimum quadratic risk is unsolved, even for normal distributions. Commonly used standard linear multivari­ ate procedures based on the inversion of sample covariance matrices can lead to unstable results or provide no solution in dependence of data. Programs included in standard statistical packages cannot process 'multi-collinear data' and there are no theoretical recommen­ ...

  9. Multivariate Analysis and Machine Learning in Cerebral Palsy Research

    Directory of Open Access Journals (Sweden)

    Jing Zhang

    2017-12-01

    Full Text Available Cerebral palsy (CP, a common pediatric movement disorder, causes the most severe physical disability in children. Early diagnosis in high-risk infants is critical for early intervention and possible early recovery. In recent years, multivariate analytic and machine learning (ML approaches have been increasingly used in CP research. This paper aims to identify such multivariate studies and provide an overview of this relatively young field. Studies reviewed in this paper have demonstrated that multivariate analytic methods are useful in identification of risk factors, detection of CP, movement assessment for CP prediction, and outcome assessment, and ML approaches have made it possible to automatically identify movement impairments in high-risk infants. In addition, outcome predictors for surgical treatments have been identified by multivariate outcome studies. To make the multivariate and ML approaches useful in clinical settings, further research with large samples is needed to verify and improve these multivariate methods in risk factor identification, CP detection, movement assessment, and outcome evaluation or prediction. As multivariate analysis, ML and data processing technologies advance in the era of Big Data of this century, it is expected that multivariate analysis and ML will play a bigger role in improving the diagnosis and treatment of CP to reduce mortality and morbidity rates, and enhance patient care for children with CP.

  10. Substance Abuse Among Blacks Across the Diaspora.

    Science.gov (United States)

    Lacey, Krim K; Mouzon, Dawne M; Govia, Ishtar O; Matusko, Niki; Forsythe-Brown, Ivy; Abelson, Jamie M; Jackson, James S

    2016-07-28

    Lower rates of substance abuse are found among Black Americans compared to Whites, but little is known about differences in substance abuse across ethnic groups within the black population. We examined prevalence rates of substance abuse among Blacks across three geographic regions (US, Jamaica, Guyana). The study also sought to ascertain whether length of time, national context and major depressive episodes (MDE) were associated with substance abuse. We utilized three different data sources based upon probability samples collected in three different countries. The samples included 3,570 African Americans and 1,621 US Caribbean Black adults from the 2001-2003 National Survey of American Life (NSAL). An additional 1,142 Guyanese Blacks and 1,176 Jamaican Blacks living in the Caribbean region were included from the 2005 NSAL replication extension study, Family Connections Across Generations and Nations (FCGN). Mental disorders were based upon DSM-IV criteria. For the analysis, we used descriptive statistics, chi-square, and multivariate logistic regression analytic procedures. Prevalence of substance abuse varied by national context, with higher rates among Blacks within the United States compared to the Caribbean region. Rates of substance abuse were lower overall for women, but differ across cohorts by nativity and length of time in the United States, and in association with major depressive episode. The study highlights the need for further examination of how substance abuse disparities between US-based and Caribbean-based populations may become manifested.

  11. EXPLORATORY DATA ANALYSIS AND MULTIVARIATE STRATEGIES FOR REVEALING MULTIVARIATE STRUCTURES IN CLIMATE DATA

    Directory of Open Access Journals (Sweden)

    2016-12-01

    Full Text Available This paper is on data analysis strategy in a complex, multidimensional, and dynamic domain. The focus is on the use of data mining techniques to explore the importance of multivariate structures; using climate variables which influences climate change. Techniques involved in data mining exercise vary according to the data structures. The multivariate analysis strategy considered here involved choosing an appropriate tool to analyze a process. Factor analysis is introduced into data mining technique in order to reveal the influencing impacts of factors involved as well as solving for multicolinearity effect among the variables. The temporal nature and multidimensionality of the target variables is revealed in the model using multidimensional regression estimates. The strategy of integrating the method of several statistical techniques, using climate variables in Nigeria was employed. R2 of 0.518 was obtained from the ordinary least square regression analysis carried out and the test was not significant at 5% level of significance. However, factor analysis regression strategy gave a good fit with R2 of 0.811 and the test was significant at 5% level of significance. Based on this study, model building should go beyond the usual confirmatory data analysis (CDA, rather it should be complemented with exploratory data analysis (EDA in order to achieve a desired result.

  12. Community Poverty and Child Abuse Fatalities in the United States.

    Science.gov (United States)

    Farrell, Caitlin A; Fleegler, Eric W; Monuteaux, Michael C; Wilson, Celeste R; Christian, Cindy W; Lee, Lois K

    2017-05-01

    Child maltreatment remains a problem in the United States, and individual poverty is a recognized risk factor for abuse. Children in impoverished communities are at risk for negative health outcomes, but the relationship of community poverty to child abuse fatalities is not known. Our objective was to evaluate the association between county poverty concentration and rates of fatal child abuse. This was a retrospective, cross-sectional analysis of child abuse fatalities in US children 0 to 4 years of age from 1999 to 2014 by using the Centers for Disease Control and Prevention Compressed Mortality Files. Population and poverty statistics were obtained from US Census data. National child abuse fatality rates were calculated for each category of community poverty concentration. Multivariate negative binomial regression modeling assessed the relationship between county poverty concentration and child abuse fatalities. From 1999 to 2014, 11 149 children 0 to 4 years old died of child abuse; 45% (5053) were poverty concentration had >3 times the rate of child abuse fatalities compared with counties with the lowest poverty concentration (adjusted incidence rate ratio, 3.03; 95% confidence interval, 2.4-3.79). Higher county poverty concentration is associated with increased rates of child abuse fatalities. This finding should inform public health officials in targeting high-risk areas for interventions and resources. Copyright © 2017 by the American Academy of Pediatrics.

  13. Multivariate Analysis of Schools and Educational Policy.

    Science.gov (United States)

    Kiesling, Herbert J.

    This report describes a multivariate analysis technique that approaches the problems of educational production function analysis by (1) using comparable measures of output across large experiments, (2) accounting systematically for differences in socioeconomic background, and (3) treating the school as a complete system in which different…

  14. A Meta-Analysis of Disparities in Childhood Sexual Abuse, Parental Physical Abuse, and Peer Victimization Among Sexual Minority and Sexual Nonminority Individuals

    Science.gov (United States)

    Marshal, Michael P.; Guadamuz, Thomas E.; Wei, Chongyi; Wong, Carolyn F.; Saewyc, Elizabeth; Stall, Ron

    2011-01-01

    Objectives. We compared the likelihood of childhood sexual abuse (under age 18), parental physical abuse, and peer victimization based on sexual orientation. Methods. We conducted a meta-analysis of adolescent school-based studies that compared the likelihood of childhood abuse among sexual minorities vs sexual nonminorities. Results. Sexual minority individuals were on average 3.8, 1.2, 1.7, and 2.4 times more likely to experience sexual abuse, parental physical abuse, or assault at school or to miss school through fear, respectively. Moderation analysis showed that disparities between sexual minority and sexual nonminority individuals were larger for (1) males than females for sexual abuse, (2) females than males for assault at school, and (3) bisexual than gay and lesbian for both parental physical abuse and missing school through fear. Disparities did not change between the 1990s and the 2000s. Conclusions. The higher rates of abuse experienced by sexual minority youths may be one of the driving mechanisms underlying higher rates of mental health problems, substance use, risky sexual behavior, and HIV reported by sexual minority adults. PMID:21680921

  15. A meta-analysis of disparities in childhood sexual abuse, parental physical abuse, and peer victimization among sexual minority and sexual nonminority individuals.

    Science.gov (United States)

    Friedman, Mark S; Marshal, Michael P; Guadamuz, Thomas E; Wei, Chongyi; Wong, Carolyn F; Saewyc, Elizabeth; Stall, Ron

    2011-08-01

    We compared the likelihood of childhood sexual abuse (under age 18), parental physical abuse, and peer victimization based on sexual orientation. We conducted a meta-analysis of adolescent school-based studies that compared the likelihood of childhood abuse among sexual minorities vs sexual nonminorities. Sexual minority individuals were on average 3.8, 1.2, 1.7, and 2.4 times more likely to experience sexual abuse, parental physical abuse, or assault at school or to miss school through fear, respectively. Moderation analysis showed that disparities between sexual minority and sexual nonminority individuals were larger for (1) males than females for sexual abuse, (2) females than males for assault at school, and (3) bisexual than gay and lesbian for both parental physical abuse and missing school through fear. Disparities did not change between the 1990s and the 2000s. The higher rates of abuse experienced by sexual minority youths may be one of the driving mechanisms underlying higher rates of mental health problems, substance use, risky sexual behavior, and HIV reported by sexual minority adults.

  16. Diagnosis of Elder Abuse in U.S. Emergency Departments.

    Science.gov (United States)

    Evans, Christopher S; Hunold, Katherine M; Rosen, Tony; Platts-Mills, Timothy F

    2017-01-01

    To estimate the proportion of visits to U.S. emergency departments (EDs) in which a diagnosis of elder abuse is reached using two nationally representative datasets. Retrospective cross-sectional analysis. U.S. ED visits recorded in the 2012 Nationwide Emergency Department Sample (NEDS) or the 2011 National Hospital Ambulatory Medical Care Survey (NHAMCS). All ED visits of individuals aged 60 and older. The primary outcome was elder abuse defined according to International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. The proportion of visits with elder abuse was estimated using survey weights. Odds ratios (ORs) were calculated to identify demographic characteristics and common ED diagnoses associated with elder abuse. In 2012, NEDS contained information on 6,723,667 ED visits of older adults, representing an estimated 29,056,673 ED visits. Elder abuse was diagnosed in an estimated 3,846 visits, corresponding to a weighted diagnosis period prevalence of elder abuse in U.S. EDs of 0.013% (95% confidence interval (CI) = 0.012-0.015%). Neglect and physical abuse were the most common types diagnosed, accounting for 32.9% and 32.2% of cases, respectively. Multivariable analysis showed greater weighted odds of elder abuse diagnosis in women (odds ratio (OR) = 1.95, 95% CI = 1.68-2.26) and individuals with contusions (OR = 2.91, 95% CI = 2.36-3.57), urinary tract infection (OR = 2.21, 95% CI = 1.84-2.65), and septicemia (OR = 1.92, 95% CI = 1.44-2.55). In the 2011 NHAMCS dataset, no cases of elder abuse were recorded for the 5,965 older adult ED visits. The proportion of U.S. ED visits by older adults receiving a diagnosis of elder abuse is at least two orders of magnitude lower than the estimated prevalence in the population. Efforts to improve the identification of elder abuse in EDs may be warranted. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

  17. Toxicological Analysis of Some Drugs of Abuse in Biological Samples

    OpenAIRE

    Anne Marie Ciobanu; Daniela Baconi; Cristian Bălălău; Carolina Negrei; Miriana Stan; Maria Bârcă

    2015-01-01

    Consumption of drugs of abuse is a scourge of modern world. Abuse, drug addiction and their consequences are one of the major current problems of European society because of the significant repercussions in individual, family, social and economic level. In this context, toxicological analysis of the drugs of abuse in biological samples is a useful tool for: diagnosis of drug addiction, checking an auto-response, mandatory screening in some treatment programs, identification of a substance ...

  18. Multivariate Analysis for the Processing of Signals

    Directory of Open Access Journals (Sweden)

    Beattie J.R.

    2014-01-01

    Full Text Available Real-world experiments are becoming increasingly more complex, needing techniques capable of tracking this complexity. Signal based measurements are often used to capture this complexity, where a signal is a record of a sample’s response to a parameter (e.g. time, displacement, voltage, wavelength that is varied over a range of values. In signals the responses at each value of the varied parameter are related to each other, depending on the composition or state sample being measured. Since signals contain multiple information points, they have rich information content but are generally complex to comprehend. Multivariate Analysis (MA has profoundly transformed their analysis by allowing gross simplification of the tangled web of variation. In addition MA has also provided the advantage of being much more robust to the influence of noise than univariate methods of analysis. In recent years, there has been a growing awareness that the nature of the multivariate methods allows exploitation of its benefits for purposes other than data analysis, such as pre-processing of signals with the aim of eliminating irrelevant variations prior to analysis of the signal of interest. It has been shown that exploiting multivariate data reduction in an appropriate way can allow high fidelity denoising (removal of irreproducible non-signals, consistent and reproducible noise-insensitive correction of baseline distortions (removal of reproducible non-signals, accurate elimination of interfering signals (removal of reproducible but unwanted signals and the standardisation of signal amplitude fluctuations. At present, the field is relatively small but the possibilities for much wider application are considerable. Where signal properties are suitable for MA (such as the signal being stationary along the x-axis, these signal based corrections have the potential to be highly reproducible, and highly adaptable and are applicable in situations where the data is noisy or

  19. PIXE-quantified AXSIA: Elemental mapping by multivariate spectral analysis

    International Nuclear Information System (INIS)

    Doyle, B.L.; Provencio, P.P.; Kotula, P.G.; Antolak, A.J.; Ryan, C.G.; Campbell, J.L.; Barrett, K.

    2006-01-01

    Automated, nonbiased, multivariate statistical analysis techniques are useful for converting very large amounts of data into a smaller, more manageable number of chemical components (spectra and images) that are needed to describe the measurement. We report the first use of the multivariate spectral analysis program AXSIA (Automated eXpert Spectral Image Analysis) developed at Sandia National Laboratories to quantitatively analyze micro-PIXE data maps. AXSIA implements a multivariate curve resolution technique that reduces the spectral image data sets into a limited number of physically realizable and easily interpretable components (including both spectra and images). We show that the principal component spectra can be further analyzed using conventional PIXE programs to convert the weighting images into quantitative concentration maps. A common elemental data set has been analyzed using three different PIXE analysis codes and the results compared to the cases when each of these codes is used to separately analyze the associated AXSIA principal component spectral data. We find that these comparisons are in good quantitative agreement with each other

  20. The analysis of multivariate group differences using common principal components

    NARCIS (Netherlands)

    Bechger, T.M.; Blanca, M.J.; Maris, G.

    2014-01-01

    Although it is simple to determine whether multivariate group differences are statistically significant or not, such differences are often difficult to interpret. This article is about common principal components analysis as a tool for the exploratory investigation of multivariate group differences

  1. The intellectual profile of abused and neglected children in the Philippines: An analysis of SB5 IQ scores of sexually abused, physically abused and neglected children.

    Science.gov (United States)

    Bengwasan, Peejay D

    2018-05-24

    Child abuse and neglect have been associated with cognitive deficits, among other effects on child development. This study explores the prediction that child abuse and neglect has an impact on Stanford-Binet Intelligence Scales 5th Edition (SB5) IQ scores, in relation to gender, age and type of abuse experienced. 300 children with experiences of abuse and neglect were included in the study, comprising 100 sexually abused, 100 physically abused and 100 neglected children. Overall, all scores on the SB5 were found to be significantly lower than the minimum average scores on the test. Verbal IQ (VIQ) scores were likewise found to be significantly lower than Nonverbal IQ (NVIQ) scores. Full Scale IQ (FSIQ) scores did not reveal heterogeneity when gender was factored in. Age and type of abuse (with a moderate effect size) on the other hand, showed significant differences among groups. Statistical analyses of SB5 Factor Index Scores revealed that abused children, in general, have significantly higher Visual-Spatial Processing (VS) and Quantitative Reasoning (QR) scores and lower scores in Knowledge (KN). There was a large effect size found in such an analysis. Age (with a large effect size), gender and type of abuse (with moderate effect sizes) give significant variations to this obtained profile. Copyright © 2018 Elsevier Ltd. All rights reserved.

  2. Etiology of Drug Abuse: A Narrative Analysis

    Directory of Open Access Journals (Sweden)

    Nadjme Jadidi

    2014-01-01

    Full Text Available Introduction and Aim. Further gains in the prevention of drug abuse disorders require in-depth and holistic understanding of the risk factors of addiction from different perspectives. Lay persons and experts have different concepts of risk which could complement each other. The purpose of this study was to elaborate drug abuse risk factors through the story of individuals who had become drug dependent. Design and Methods. In this qualitative research, 33 individuals attending treatment centres for drug abuse were interviewed about the story of their addiction in Kerman, Iran. Interview questions were around the story of the participants. Results. All participants were male and in the age range of 18–40 years. Narrative analysis identified five themes as the main risk factors: family factors, peer pressure, the effect of gateway drugs (especially waterpipe, individual characteristics, and the community factors. More emphasis was placed upon the role of family factors, peer influence, and gateway effect. Discussion and Conclusion. This study elicited information from drug dependent subjects regarding the risk factors of drug abuse. According to drug dependent individuals’ views, more attention should be devoted to family and peer influences by policy makers, in developing culture-based preventive strategies.

  3. Particulate characterization by PIXE multivariate spectral analysis

    International Nuclear Information System (INIS)

    Antolak, Arlyn J.; Morse, Daniel H.; Grant, Patrick G.; Kotula, Paul G.; Doyle, Barney L.; Richardson, Charles B.

    2007-01-01

    Obtaining particulate compositional maps from scanned PIXE (proton-induced X-ray emission) measurements is extremely difficult due to the complexity of analyzing spectroscopic data collected with low signal-to-noise at each scan point (pixel). Multivariate spectral analysis has the potential to analyze such data sets by reducing the PIXE data to a limited number of physically realizable and easily interpretable components (that include both spectral and image information). We have adapted the AXSIA (automated expert spectral image analysis) program, originally developed by Sandia National Laboratories to quantify electron-excited X-ray spectroscopy data, for this purpose. Samples consisting of particulates with known compositions and sizes were loaded onto Mylar and paper filter substrates and analyzed by scanned micro-PIXE. The data sets were processed by AXSIA and the associated principal component spectral data were quantified by converting the weighting images into concentration maps. The results indicate automated, nonbiased, multivariate statistical analysis is useful for converting very large amounts of data into a smaller, more manageable number of compositional components needed for locating individual particles-of-interest on large area collection media

  4. Determination of wheat quality by mass spectrometry and multivariate data analysis

    DEFF Research Database (Denmark)

    Gottlieb, D.M.; Schultz, J.; Petersen, M.

    2002-01-01

    Multivariate analysis has been applied as support to proteome analysis in order to implement an easier and faster way of data handling based on separation by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry. The characterisation phase in proteome analysis by means...... of simple visual inspection is a demanding process and also insecure because subjectivity is the controlling element. Multivariate analysis offers, to a considerable extent, objectivity and must therefore be regarded as a neutral way to evaluate results obtained by proteome analysis.Proteome analysis...

  5. Multivariate Analysis of Industrial Scale Fermentation Data

    DEFF Research Database (Denmark)

    Mears, Lisa; Nørregård, Rasmus; Stocks, Stuart M.

    2015-01-01

    Multivariate analysis allows process understanding to be gained from the vast and complex datasets recorded from fermentation processes, however the application of such techniques to this field can be limited by the data pre-processing requirements and data handling. In this work many iterations...

  6. Guardian support of sexually abused children: a study of its predictors.

    Science.gov (United States)

    Bolen, Rebecca M; Lamb, J Leah

    2002-08-01

    The purpose of this article is to present a study of intervening variables for guardian support. It is this article's thesis that guardian support is better conceptualized as a complex reaction to the disclosure of abuse that is shaped by a number of factors, some of the most important of which are the stressors impinging on guardians and their previous patterns of relating within the family. The sample included 92 guardians of sexually abused children presenting at a medical center for a sexual abuse medical and forensic evaluation. This study found that the most important intervening variables for guardian support in multivariate analysis were the attachment/relationship style of child and guardian and whether a second guardian accompanied the child to the hospital. This study highlights the importance of relational considerations between the child and nonoffending guardian as well as the importance of using more than a single nonoffending caregiver.

  7. Multivariate spectral-analysis of movement-related EEG data

    International Nuclear Information System (INIS)

    Andrew, C. M.

    1997-01-01

    The univariate method of event-related desynchronization (ERD) analysis, which quantifies the temporal evolution of power within specific frequency bands from electroencephalographic (EEG) data recorded during a task or event, is extended to an event related multivariate spectral analysis method. With this method, time courses of cross-spectra, phase spectra, coherence spectra, band-averaged coherence values (event-related coherence, ERCoh), partial power spectra and partial coherence spectra are estimated from an ensemble of multivariate event-related EEG trials. This provides a means of investigating relationships between EEG signals recorded over different scalp areas during the performance of a task or the occurrence of an event. The multivariate spectral analysis method is applied to EEG data recorded during three different movement-related studies involving discrete right index finger movements. The first study investigates the impact of the EEG derivation type on the temporal evolution of interhemispheric coherence between activity recorded at electrodes overlying the left and right sensorimotor hand areas during cued finger movement. The question results whether changes in coherence necessarily reflect changes in functional coupling of the cortical structures underlying the recording electrodes. The method is applied to data recorded during voluntary finger movement and a hypothesis, based on an existing global/local model of neocortical dynamics, is formulated to explain the coherence results. The third study applies partial spectral analysis too, and investigates phase relationships of, movement-related data recorded from a full head montage, thereby providing further results strengthening the global/local hypothesis. (author)

  8. Essentials of multivariate data analysis

    CERN Document Server

    Spencer, Neil H

    2013-01-01

    ""… this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. … could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics.""-The American Statistician, February 2015

  9. Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

    Directory of Open Access Journals (Sweden)

    Lijun Wang

    2013-01-01

    Full Text Available Brain decoding with functional magnetic resonance imaging (fMRI requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification methods. Feature selection is a critical procedure of MVPA because it decides which features will be included in the classification analysis of fMRI data, thereby improving the performance of the classifier. Features can be selected by limiting the analysis to specific anatomical regions or by computing univariate (voxel-wise or multivariate statistics. However, these methods either discard some informative features or select features with redundant information. This paper introduces the principal feature analysis as a novel multivariate feature selection method for fMRI data processing. This multivariate approach aims to remove features with redundant information, thereby selecting fewer features, while retaining the most information.

  10. Multivariate Meta-Analysis Using Individual Participant Data

    Science.gov (United States)

    Riley, R. D.; Price, M. J.; Jackson, D.; Wardle, M.; Gueyffier, F.; Wang, J.; Staessen, J. A.; White, I. R.

    2015-01-01

    When combining results across related studies, a multivariate meta-analysis allows the joint synthesis of correlated effect estimates from multiple outcomes. Joint synthesis can improve efficiency over separate univariate syntheses, may reduce selective outcome reporting biases, and enables joint inferences across the outcomes. A common issue is…

  11. TMVA(Toolkit for Multivariate Analysis) new architectures design and implementation.

    CERN Document Server

    Zapata Mesa, Omar Andres

    2016-01-01

    Toolkit for Multivariate Analysis(TMVA) is a package in ROOT for machine learning algorithms for classification and regression of the events in the detectors. In TMVA, we are developing new high level algorithms to perform multivariate analysis as cross validation, hyper parameter optimization, variable importance etc... Almost all the algorithms are expensive and designed to process a huge amount of data. It is very important to implement the new technologies on parallel computing to reduce the processing times.

  12. Elder abuse prevalence in community settings: a systematic review and meta-analysis.

    Science.gov (United States)

    Yon, Yongjie; Mikton, Christopher R; Gassoumis, Zachary D; Wilber, Kathleen H

    2017-02-01

    Elder abuse is recognised worldwide as a serious problem, yet quantitative syntheses of prevalence studies are rare. We aimed to quantify and understand prevalence variation at the global and regional levels. For this systematic review and meta-analysis, we searched 14 databases, including PubMed, PsycINFO, CINAHL, EMBASE, and MEDLINE, using a comprehensive search strategy to identify elder abuse prevalence studies in the community published from inception to June 26, 2015. Studies reporting estimates of past-year abuse prevalence in adults aged 60 years or older were included in the analyses. Subgroup analysis and meta-regression were used to explore heterogeneity, with study quality assessed with the risk of bias tool. The study protocol has been registered with PROSPERO, number CRD42015029197. Of the 38 544 studies initially identified, 52 were eligible for inclusion. These studies were geographically diverse (28 countries). The pooled prevalence rate for overall elder abuse was 15·7% (95% CI 12·8-19·3). The pooled prevalence estimate was 11·6% (8·1-16·3) for psychological abuse, 6·8% (5·0-9·2) for financial abuse, 4·2% (2·1-8·1) for neglect, 2·6% (1·6-4·4) for physical abuse, and 0·9% (0·6-1·4) for sexual abuse. Meta-analysis of studies that included overall abuse revealed heterogeneity. Significant associations were found between overall prevalence estimates and sample size, income classification, and method of data collection, but not with gender. Although robust prevalence studies are sparse in low-income and middle-income countries, elder abuse seems to affect one in six older adults worldwide, which is roughly 141 million people. Nonetheless, elder abuse is a neglected global public health priority, especially compared with other types of violence. Social Sciences and Humanities Research Council of Canada and the WHO Department of Ageing and Life Course. Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access

  13. Robust methods for multivariate data analysis A1

    DEFF Research Database (Denmark)

    Frosch, Stina; Von Frese, J.; Bro, Rasmus

    2005-01-01

    Outliers may hamper proper classical multivariate analysis, and lead to incorrect conclusions. To remedy the problem of outliers, robust methods are developed in statistics and chemometrics. Robust methods reduce or remove the effect of outlying data points and allow the ?good? data to primarily...... determine the result. This article reviews the most commonly used robust multivariate regression and exploratory methods that have appeared since 1996 in the field of chemometrics. Special emphasis is put on the robust versions of chemometric standard tools like PCA and PLS and the corresponding robust...

  14. Substance abuse among migrant workers of Thai-Laos border, Thailand.

    Science.gov (United States)

    Jaichuang, Siriluk; Ratanasiri, Amornrat; Kanato, Manop

    2012-09-01

    Study the impact of substance abuse among migrant workers along the Thai-Laos border region in Nakhon Phanom Province. The target population included migrant workers aged 15 years and over and were selected using the snowball technique. Data were collected from 300 migrant workers and in-depth interviews and focus group discussion were carried out. Data analysis used content analysis, descriptive statistics, and multivariate logistic regression. Fifty-five point seven percent of migrant workers used stimulants namely tobacco, energy drinks, coffee, and methamphetamine. Males were at greater risk for substance abuse than females (AOR 16.03; 95% CI 8.43-30.45) and those who received news and information from community radios and news broadcasting towers were at more risk than other media (AOR 5.38; 95% CI 2.88-10.05). The impact of substance abuse were found to be chronic cough, moodiness, lack of interest in food, headache, wakefulness, sleeplessness, tremor heart palpitation, and accidents. Health promotion strategy must be implemented to minimize the harm. Motivating behavioral modification while keeping in mind the lifestyle, work, and environment of these people could help.

  15. Multivariate Generalized Multiscale Entropy Analysis

    Directory of Open Access Journals (Sweden)

    Anne Humeau-Heurtier

    2016-11-01

    Full Text Available Multiscale entropy (MSE was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii the computation of the sample entropy for each coarse-grained time series. A refined composite MSE (rcMSE—based on the same steps as MSE—also exists. Compared to MSE, rcMSE increases the accuracy of entropy estimation and reduces the probability of inducing undefined entropy for short time series. The multivariate versions of MSE (MMSE and rcMSE (MrcMSE have also been introduced. In the coarse-graining step used in MSE, rcMSE, MMSE, and MrcMSE, the mean value is used to derive representations of the original data at different resolutions. A generalization of MSE was recently published, using the computation of different moments in the coarse-graining procedure. However, so far, this generalization only exists for univariate signals. We therefore herein propose an extension of this generalized MSE to multivariate data. The multivariate generalized algorithms of MMSE and MrcMSE presented herein (MGMSE and MGrcMSE, respectively are first analyzed through the processing of synthetic signals. We reveal that MGrcMSE shows better performance than MGMSE for short multivariate data. We then study the performance of MGrcMSE on two sets of short multivariate electroencephalograms (EEG available in the public domain. We report that MGrcMSE may show better performance than MrcMSE in distinguishing different types of multivariate EEG data. MGrcMSE could therefore supplement MMSE or MrcMSE in the processing of multivariate datasets.

  16. Multivariate calibration applied to the quantitative analysis of infrared spectra

    Energy Technology Data Exchange (ETDEWEB)

    Haaland, D.M.

    1991-01-01

    Multivariate calibration methods are very useful for improving the precision, accuracy, and reliability of quantitative spectral analyses. Spectroscopists can more effectively use these sophisticated statistical tools if they have a qualitative understanding of the techniques involved. A qualitative picture of the factor analysis multivariate calibration methods of partial least squares (PLS) and principal component regression (PCR) is presented using infrared calibrations based upon spectra of phosphosilicate glass thin films on silicon wafers. Comparisons of the relative prediction abilities of four different multivariate calibration methods are given based on Monte Carlo simulations of spectral calibration and prediction data. The success of multivariate spectral calibrations is demonstrated for several quantitative infrared studies. The infrared absorption and emission spectra of thin-film dielectrics used in the manufacture of microelectronic devices demonstrate rapid, nondestructive at-line and in-situ analyses using PLS calibrations. Finally, the application of multivariate spectral calibrations to reagentless analysis of blood is presented. We have found that the determination of glucose in whole blood taken from diabetics can be precisely monitored from the PLS calibration of either mind- or near-infrared spectra of the blood. Progress toward the non-invasive determination of glucose levels in diabetics is an ultimate goal of this research. 13 refs., 4 figs.

  17. Postoperative delirium in patients with history of alcohol abuse.

    Science.gov (United States)

    Sousa, G; Pinho, C; Santos, A; Abelha, F J

    2017-04-01

    Postoperative delirium (POD) is an acute confusional state characterized by changes in consciousness and cognition, which may be fluctuating, developing in a small period of time. The aim of this study was to evaluate the relationship between alcohol abuse and the development of POD. We prospectively evaluated consecutively all postoperative patients admitted in the Post-anesthesia Care Unit over a 1-month period for delirium, using the Portuguese versions of the the Nursing Delirium Screening Scale. Before surgery, alcohol consumption was inquired and alcohol abuse was assessed by the CAGE (Cutting Down, Annoyance, Guilt and Eye-opener) questionnaire; a score ≥2 defined alcohol abuse. Fischer exact test or chi-square was applied for comparisons. Risk factors were analyzed in a multivariate analysis using a logistic regression with odds ratios (OR) and 95% confidence intervals (95%CI). Two hundred twenty-one patients were enrolled. Delirium was seen in 11% patients. The incidence of alcohol abuse was 10%. Patients with alcohol abuse were more frequently men (P<.001) and had a higher ASA physical status III/IV (P=.021). POD was more frequent in patients with alcohol abuse (30% vs. 9%; P=.002). Age (OR: 5.9; 95%CI: 2.2-15.9; P<.001 for patients ≥65years), ASA physical statusIII/IV (OR: 4.2; 95%CI: 1.7-10.7; P=.002) and alcohol abuse (OR: 4.2; 95%CI: 1.4-12.9; P=.013) were found to be independent predictors for POD. Older patients, higher ASA physical status and alcohol abuse were more frequent in patients with POD. Alcohol abuse was considered an independent risk factor for POD. Copyright © 2016 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Publicado por Elsevier España, S.L.U. All rights reserved.

  18. Multivariate Meta-Analysis of Genetic Association Studies: A Simulation Study.

    Directory of Open Access Journals (Sweden)

    Binod Neupane

    Full Text Available In a meta-analysis with multiple end points of interests that are correlated between or within studies, multivariate approach to meta-analysis has a potential to produce more precise estimates of effects by exploiting the correlation structure between end points. However, under random-effects assumption the multivariate estimation is more complex (as it involves estimation of more parameters simultaneously than univariate estimation, and sometimes can produce unrealistic parameter estimates. Usefulness of multivariate approach to meta-analysis of the effects of a genetic variant on two or more correlated traits is not well understood in the area of genetic association studies. In such studies, genetic variants are expected to roughly maintain Hardy-Weinberg equilibrium within studies, and also their effects on complex traits are generally very small to modest and could be heterogeneous across studies for genuine reasons. We carried out extensive simulation to explore the comparative performance of multivariate approach with most commonly used univariate inverse-variance weighted approach under random-effects assumption in various realistic meta-analytic scenarios of genetic association studies of correlated end points. We evaluated the performance with respect to relative mean bias percentage, and root mean square error (RMSE of the estimate and coverage probability of corresponding 95% confidence interval of the effect for each end point. Our simulation results suggest that multivariate approach performs similarly or better than univariate method when correlations between end points within or between studies are at least moderate and between-study variation is similar or larger than average within-study variation for meta-analyses of 10 or more genetic studies. Multivariate approach produces estimates with smaller bias and RMSE especially for the end point that has randomly or informatively missing summary data in some individual studies, when

  19. Power Estimation in Multivariate Analysis of Variance

    Directory of Open Access Journals (Sweden)

    Jean François Allaire

    2007-09-01

    Full Text Available Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA can be approximated using a F distribution for the three popular statistics (Hotelling-Lawley trace, Pillai-Bartlett trace, Wilk`s likelihood ratio. Consequently, the same procedure, as in any statistical test, can be used: computation of the critical F value, computation of the noncentral parameter (as a function of the effect size and finally estimation of power using a noncentral F distribution. Various numerical examples are provided which help to understand and to apply the method. Problems related to post hoc power estimation are discussed.

  20. Some developments in multivariate image analysis

    DEFF Research Database (Denmark)

    Kucheryavskiy, Sergey

    be up to several million. The main MIA tool for exploratory analysis is score density plot – all pixels are projected into principal component space and on the corresponding scores plots are colorized according to their density (how many pixels are crowded in the unit area of the plot). Looking...... for and analyzing patterns on these plots and the original image allow to do interactive analysis, to get some hidden information, build a supervised classification model, and much more. In the present work several alternative methods to original principal component analysis (PCA) for building the projection......Multivariate image analysis (MIA), one of the successful chemometric applications, now is used widely in different areas of science and industry. Introduced in late 80s it has became very popular with hyperspectral imaging, where MIA is one of the most efficient tools for exploratory analysis...

  1. The Effect of Alcohol Abuse and Dependence and School Experiences on Depression: A National Study of Adolescents

    Science.gov (United States)

    Merianos, Ashley L.; King, Keith A.; Vidourek, Rebecca A.; Hardee, Angelica M.

    2016-01-01

    The study purpose was to examine the effect alcohol abuse/dependence and school experiences have on depression among a nationwide sample of adolescents. A secondary analysis of the 2013 National Survey on Drug Use and Health was conducted. The results of the final multivariable logistic regression model revealed that adolescents who reported…

  2. A comparison between multivariate and bivariate analysis used in marketing research

    Directory of Open Access Journals (Sweden)

    Constantin, C.

    2012-01-01

    Full Text Available This paper is about an instrumental research conducted in order to compare the information given by two multivariate data analysis in comparison with the usual bivariate analysis. The outcomes of the research reveal that sometimes the multivariate methods use more information from a certain variable, but sometimes they use only a part of the information considered the most important for certain associations. For this reason, a researcher should use both categories of data analysis in order to obtain entirely useful information.

  3. Credibility assessment in child sexual abuse investigations: A descriptive analysis.

    Science.gov (United States)

    Melkman, Eran P; Hershkowitz, Irit; Zur, Ronit

    2017-05-01

    A major challenge in cases of child sexual abuse (CSA) is determining the credibility of children's reports. Consequently cases may be misclassified as false or deemed 'no judgment possible'. Based on a large national sample of reports of CSA made in Israel in 2014, the study examines child and event characteristics contributing to the probability that reports of abuse would be judged credible. National data files of all children aged 3-14, who were referred for investigation following suspected victimization of sexual abuse, and had disclosed sexual abuse, were analyzed. Cases were classified as either 'credible' or 'no judgment possible'. The probability of reaching a 'credible' judgment was examined in relation to characteristics of the child (age, gender, cognitive delay, marital status of the parents,) and of the abusive event (abuse severity, frequency, perpetrator-victim relationship, perpetrator's use of grooming, and perpetrator's use of coercion), controlling for investigator's identity at the cluster level of the analysis. Of 1563 cases analyzed, 57.9% were assessed as credible. The most powerful predictors of a credible judgment were older age and absence of a cognitive delay. Reports of children to married parents, who experienced a single abusive event that involved perpetrator's use of grooming, were also more likely to be judged as credible. Rates of credible judgments found are lower than expected suggesting under-identification of truthful reports of CSA. In particular, those cases of severe and multiple abuse involving younger and cognitively delayed children are the ones with the lowest chances of being assessed as credible. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Multivariate Volatility Impulse Response Analysis of GFC News Events

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); R.J. Powell (Robert)

    2015-01-01

    markdownabstract__Abstract__ This paper applies the Hafner and Herwartz (2006) (hereafter HH) approach to the analysis of multivariate GARCH models using volatility impulse response analysis. The data set features ten years of daily returns series for the New York Stock Exchange Index and the

  5. Multivariant design and multiple criteria analysis of building refurbishments

    Energy Technology Data Exchange (ETDEWEB)

    Kaklauskas, A.; Zavadskas, E. K.; Raslanas, S. [Faculty of Civil Engineering, Vilnius Gediminas Technical University, Vilnius (Lithuania)

    2005-07-01

    In order to design and realize an efficient building refurbishment, it is necessary to carry out an exhaustive investigation of all solutions that form it. The efficiency level of the considered building's refurbishment depends on a great many of factors, including: cost of refurbishment, annual fuel economy after refurbishment, tentative pay-back time, harmfulness to health of the materials used, aesthetics, maintenance properties, functionality, comfort, sound insulation and longevity, etc. Solutions of an alternative character allow for a more rational and realistic assessment of economic, ecological, legislative, climatic, social and political conditions, traditions and for better the satisfaction of customer requirements. They also enable one to cut down on refurbishment costs. In carrying out the multivariant design and multiple criteria analysis of a building refurbishment much data was processed and evaluated. Feasible alternatives could be as many as 100,000. How to perform a multivariant design and multiple criteria analysis of alternate alternatives based on the enormous amount of information became the problem. Method of multivariant design and multiple criteria of a building refurbishment's analysis were developed by the authors to solve the above problems. In order to demonstrate the developed method, a practical example is presented in this paper. (author)

  6. Data classification and MTBF prediction with a multivariate analysis approach

    International Nuclear Information System (INIS)

    Braglia, Marcello; Carmignani, Gionata; Frosolini, Marco; Zammori, Francesco

    2012-01-01

    The paper presents a multivariate statistical approach that supports the classification of mechanical components, subjected to specific operating conditions, in terms of the Mean Time Between Failure (MTBF). Assessing the influence of working conditions and/or environmental factors on the MTBF is a prerequisite for the development of an effective preventive maintenance plan. However, this task may be demanding and it is generally performed with ad-hoc experimental methods, lacking of statistical rigor. To solve this common problem, a step by step multivariate data classification technique is proposed. Specifically, a set of structured failure data are classified in a meaningful way by means of: (i) cluster analysis, (ii) multivariate analysis of variance, (iii) feature extraction and (iv) predictive discriminant analysis. This makes it possible not only to define the MTBF of the analyzed components, but also to identify the working parameters that explain most of the variability of the observed data. The approach is finally demonstrated on 126 centrifugal pumps installed in an oil refinery plant; obtained results demonstrate the quality of the final discrimination, in terms of data classification and failure prediction.

  7. Multivariate Volatility Impulse Response Analysis of GFC News Events

    NARCIS (Netherlands)

    D.E. Allen (David); M.J. McAleer (Michael); R.J. Powell (Robert); A.K. Singh (Abhay)

    2015-01-01

    textabstractThis paper applies the Hafner and Herwartz (2006) (hereafter HH) approach to the analysis of multivariate GARCH models using volatility impulse response analysis. The data set features ten years of daily returns series for the New York Stock Exchange Index and the FTSE 100 index from the

  8. A Study of Effects of MultiCollinearity in the Multivariable Analysis.

    Science.gov (United States)

    Yoo, Wonsuk; Mayberry, Robert; Bae, Sejong; Singh, Karan; Peter He, Qinghua; Lillard, James W

    2014-10-01

    A multivariable analysis is the most popular approach when investigating associations between risk factors and disease. However, efficiency of multivariable analysis highly depends on correlation structure among predictive variables. When the covariates in the model are not independent one another, collinearity/multicollinearity problems arise in the analysis, which leads to biased estimation. This work aims to perform a simulation study with various scenarios of different collinearity structures to investigate the effects of collinearity under various correlation structures amongst predictive and explanatory variables and to compare these results with existing guidelines to decide harmful collinearity. Three correlation scenarios among predictor variables are considered: (1) bivariate collinear structure as the most simple collinearity case, (2) multivariate collinear structure where an explanatory variable is correlated with two other covariates, (3) a more realistic scenario when an independent variable can be expressed by various functions including the other variables.

  9. Validation of the Italian Version of the Caregiver Abuse Screen among Family Caregivers of Older People with Alzheimer's Disease.

    Science.gov (United States)

    Melchiorre, Maria Gabriella; Di Rosa, Mirko; Barbabella, Francesco; Barbini, Norma; Lattanzio, Fabrizia; Chiatti, Carlos

    2017-01-01

    Introduction . Elder abuse is often a hidden phenomenon and, in many cases, screening practices are difficult to implement among older people with dementia. The Caregiver Abuse Screen (CASE) is a useful tool which is administered to family caregivers for detecting their potential abusive behavior. Objectives . To validate the Italian version of the CASE tool in the context of family caregiving of older people with Alzheimer's disease (AD) and to identify risk factors for elder abuse in Italy. Methods . The CASE test was administered to 438 caregivers, recruited in the Up-Tech study. Validity and reliability were evaluated using Spearman's correlation coefficients, principal-component analysis, and Cronbach's alphas. The association between the CASE and other variables potentially associated with elder abuse was also analyzed. Results . The factor analysis suggested the presence of a single factor, with a strong internal consistency (Cronbach's alpha = 0.86). CASE score was strongly correlated with well-known risk factors of abuse. At multivariate level, main factors associated with CASE total score were caregiver burden and AD-related behavioral disturbances. Conclusions . The Italian version of the CASE is a reliable and consistent screening tool for tackling the risk of being or becoming perpetrators of abuse by family caregivers of people with AD.

  10. Multivariate data analysis

    DEFF Research Database (Denmark)

    Hansen, Michael Adsetts Edberg

    Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set...

  11. Prevention of Child Sexual Abuse Victimization: A Meta Analysis of School Programs.

    Science.gov (United States)

    Rispens, Jan; Aleman, Andre; Goudena, Paul P.

    1997-01-01

    Meta-analysis of 16 evaluation studies of school programs aimed at the prevention of child sexual abuse victimization found significant and considerable mean postintervention and follow-up effect sizes, indicating that the programs were effective in teaching children sexual abuse concepts and self-protection skills. Program duration and content…

  12. Association of childhood abuse and prescription opioid use in early adulthood.

    Science.gov (United States)

    Austin, Anna E; Shanahan, Meghan E; Zvara, Bharathi J

    2018-01-01

    Previous research has examined the association of childhood abuse with opioid misuse and dependence in adulthood. However, little research has focused specifically on prescription opioids, and no studies have examined associations with prescription opioid use, a potential pathway to later opioid misuse and dependence. The aim of the present study was to examine the association of childhood emotional, physical, and sexual abuse with prescription opioid use in early adulthood. We used data from Waves I (12-18years) and IV (24-32years) of the National Longitudinal Study of Adolescent to Adult Health. At Wave IV, respondents reported experiences of childhood abuse occurring prior to age 18years and prescription opioid use in the last four weeks. We conducted multivariable logistic regression to examine associations of childhood abuse with recent prescription opioid use. In multivariable models adjusted for respondent sex, race/ethnicity, age, and socioeconomic status, childhood emotional abuse (OR=1.57, 95% CI 1.29, 1.90), physical abuse (OR=1.46, 95% CI 1.14, 1.87), and any childhood abuse (OR=1.51, 95% CI 1.24, 1.82) were significantly associated with recent prescription opioid use. Given continued increases in prescription opioid use and opioid-related morbidity and mortality in the U.S., understanding upstream social and environmental factors associated with prescription opioid use is important to strengthening and expanding current prevention and intervention strategies. Future research is needed to examine factors potentially mediating the association between childhood abuse and prescription opioid use in order to provide additional insights for prevention and intervention efforts. Copyright © 2017 Elsevier Ltd. All rights reserved.

  13. A multivariate analysis of youth violence and aggression: the influence of family, peers, depression, and media violence.

    Science.gov (United States)

    Ferguson, Christopher J; San Miguel, Claudia; Hartley, Richard D

    2009-12-01

    To examine the multivariate nature of risk factors for youth violence including delinquent peer associations, exposure to domestic violence in the home, family conflict, neighborhood stress, antisocial personality traits, depression level, and exposure to television and video game violence. A population of 603 predominantly Hispanic children (ages 10-14 years) and their parents or guardians responded to multiple behavioral measures. Outcomes included aggression and rule-breaking behavior on the Child Behavior Checklist (CBCL), as well as violent and nonviolent criminal activity and bullying behavior. Delinquent peer influences, antisocial personality traits, depression, and parents/guardians who use psychological abuse in intimate relationships were consistent risk factors for youth violence and aggression. Neighborhood quality, parental use of domestic violence in intimate relationships, and exposure to violent television or video games were not predictive of youth violence and aggression. Childhood depression, delinquent peer association, and parental use of psychological abuse may be particularly fruitful avenues for future prevention or intervention efforts.

  14. Multivariate Analysis and Prediction of Dioxin-Furan ...

    Science.gov (United States)

    Peer Review Draft of Regional Methods Initiative Final Report Dioxins, which are bioaccumulative and environmentally persistent, pose an ongoing risk to human and ecosystem health. Fish constitute a significant source of dioxin exposure for humans and fish-eating wildlife. Current dioxin analytical methods are costly, time-consuming, and produce hazardous by-products. A Danish team developed a novel, multivariate statistical methodology based on the covariance of dioxin-furan congener Toxic Equivalences (TEQs) and fatty acid methyl esters (FAMEs) and applied it to North Atlantic Ocean fishmeal samples. The goal of the current study was to attempt to extend this Danish methodology to 77 whole and composite fish samples from three trophic groups: predator (whole largemouth bass), benthic (whole flathead and channel catfish) and forage fish (composite bluegill, pumpkinseed and green sunfish) from two dioxin contaminated rivers (Pocatalico R. and Kanawha R.) in West Virginia, USA. Multivariate statistical analyses, including, Principal Components Analysis (PCA), Hierarchical Clustering, and Partial Least Squares Regression (PLS), were used to assess the relationship between the FAMEs and TEQs in these dioxin contaminated freshwater fish from the Kanawha and Pocatalico Rivers. These three multivariate statistical methods all confirm that the pattern of Fatty Acid Methyl Esters (FAMEs) in these freshwater fish covaries with and is predictive of the WHO TE

  15. Relationship of trauma exposure and substance abuse to self-reported violence among men and women in substance abuse treatment.

    Science.gov (United States)

    Clark, C Brendan; Reiland, Sarah; Thorne, Chris; Cropsey, Karen L

    2014-05-01

    Past research showed a relationship between substance abuse and aggression and past trauma and aggression. The nature of the relationships between substance use, trauma, and aggression is inconclusive. The current research hypothesized greater aggression among those with a history of substance abuse and trauma compared with those without such a history and an additive relationship between substance abuse and trauma on aggression. Participants were 615 individuals in a substance abuse treatment program for individuals under criminal justice supervision. Data were collected from face-to-face interviews and self-report measures. Univariate and multivariate analyses assessed the relationships among substance use, trauma, and aggression. Participants with a history of trauma and regular substance use reported the highest rates of homicidal ideation, problem behaviors, and person offenses. Participants in this group also reported greater desire for help managing their stress and tension, dealing with problems in their intimate relationships, developing healthier relationships in general, and learning prosocial approaches to express their feelings. Substance abusing participants who experienced trauma reported more externalizing behaviors and a greater desire for coping- and social-skills training than participants who abused substances but did not report a history of trauma. This suggests that participants in substance abuse treatment programs may have improved outcomes with the addition of components to address these issues.

  16. Validation of the Italian Version of the Caregiver Abuse Screen among Family Caregivers of Older People with Alzheimer’s Disease

    Directory of Open Access Journals (Sweden)

    Maria Gabriella Melchiorre

    2017-01-01

    Full Text Available Introduction. Elder abuse is often a hidden phenomenon and, in many cases, screening practices are difficult to implement among older people with dementia. The Caregiver Abuse Screen (CASE is a useful tool which is administered to family caregivers for detecting their potential abusive behavior. Objectives. To validate the Italian version of the CASE tool in the context of family caregiving of older people with Alzheimer’s disease (AD and to identify risk factors for elder abuse in Italy. Methods. The CASE test was administered to 438 caregivers, recruited in the Up-Tech study. Validity and reliability were evaluated using Spearman’s correlation coefficients, principal-component analysis, and Cronbach’s alphas. The association between the CASE and other variables potentially associated with elder abuse was also analyzed. Results. The factor analysis suggested the presence of a single factor, with a strong internal consistency (Cronbach’s alpha = 0.86. CASE score was strongly correlated with well-known risk factors of abuse. At multivariate level, main factors associated with CASE total score were caregiver burden and AD-related behavioral disturbances. Conclusions. The Italian version of the CASE is a reliable and consistent screening tool for tackling the risk of being or becoming perpetrators of abuse by family caregivers of people with AD.

  17. Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion

    International Nuclear Information System (INIS)

    Garcia-Cabrejo, Oscar; Valocchi, Albert

    2014-01-01

    Many mathematical and computational models used in engineering produce multivariate output that shows some degree of correlation. However, conventional approaches to Global Sensitivity Analysis (GSA) assume that the output variable is scalar. These approaches are applied on each output variable leading to a large number of sensitivity indices that shows a high degree of redundancy making the interpretation of the results difficult. Two approaches have been proposed for GSA in the case of multivariate output: output decomposition approach [9] and covariance decomposition approach [14] but they are computationally intensive for most practical problems. In this paper, Polynomial Chaos Expansion (PCE) is used for an efficient GSA with multivariate output. The results indicate that PCE allows efficient estimation of the covariance matrix and GSA on the coefficients in the approach defined by Campbell et al. [9], and the development of analytical expressions for the multivariate sensitivity indices defined by Gamboa et al. [14]. - Highlights: • PCE increases computational efficiency in 2 approaches of GSA of multivariate output. • Efficient estimation of covariance matrix of output from coefficients of PCE. • Efficient GSA on coefficients of orthogonal decomposition of the output using PCE. • Analytical expressions of multivariate sensitivity indices from coefficients of PCE

  18. Search for the top quark using multivariate analysis techniques

    International Nuclear Information System (INIS)

    Bhat, P.C.

    1994-08-01

    The D0 collaboration is developing top search strategies using multivariate analysis techniques. We report here on applications of the H-matrix method to the eμ channel and neural networks to the e+jets channel

  19. The long-term health consequences of child physical abuse, emotional abuse, and neglect: a systematic review and meta-analysis.

    Directory of Open Access Journals (Sweden)

    Rosana E Norman

    Full Text Available BACKGROUND: Child sexual abuse is considered a modifiable risk factor for mental disorders across the life course. However the long-term consequences of other forms of child maltreatment have not yet been systematically examined. The aim of this study was to summarise the evidence relating to the possible relationship between child physical abuse, emotional abuse, and neglect, and subsequent mental and physical health outcomes. METHODS AND FINDINGS: A systematic review was conducted using the Medline, EMBASE, and PsycINFO electronic databases up to 26 June 2012. Published cohort, cross-sectional, and case-control studies that examined non-sexual child maltreatment as a risk factor for loss of health were included. All meta-analyses were based on quality-effects models. Out of 285 articles assessed for eligibility, 124 studies satisfied the pre-determined inclusion criteria for meta-analysis. Statistically significant associations were observed between physical abuse, emotional abuse, and neglect and depressive disorders (physical abuse [odds ratio (OR = 1.54; 95% CI 1.16-2.04], emotional abuse [OR = 3.06; 95% CI 2.43-3.85], and neglect [OR = 2.11; 95% CI 1.61-2.77]; drug use (physical abuse [OR = 1.92; 95% CI 1.67-2.20], emotional abuse [OR = 1.41; 95% CI 1.11-1.79], and neglect [OR = 1.36; 95% CI 1.21-1.54]; suicide attempts (physical abuse [OR = 3.40; 95% CI 2.17-5.32], emotional abuse [OR = 3.37; 95% CI 2.44-4.67], and neglect [OR = 1.95; 95% CI 1.13-3.37]; and sexually transmitted infections and risky sexual behaviour (physical abuse [OR = 1.78; 95% CI 1.50-2.10], emotional abuse [OR = 1.75; 95% CI 1.49-2.04], and neglect [OR = 1.57; 95% CI 1.39-1.78]. Evidence for causality was assessed using Bradford Hill criteria. While suggestive evidence exists for a relationship between maltreatment and chronic diseases and lifestyle risk factors, more research is required to confirm these relationships. CONCLUSIONS: This overview of the evidence

  20. metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.

    Science.gov (United States)

    Cichonska, Anna; Rousu, Juho; Marttinen, Pekka; Kangas, Antti J; Soininen, Pasi; Lehtimäki, Terho; Raitakari, Olli T; Järvelin, Marjo-Riitta; Salomaa, Veikko; Ala-Korpela, Mika; Ripatti, Samuli; Pirinen, Matti

    2016-07-01

    A dominant approach to genetic association studies is to perform univariate tests between genotype-phenotype pairs. However, analyzing related traits together increases statistical power, and certain complex associations become detectable only when several variants are tested jointly. Currently, modest sample sizes of individual cohorts, and restricted availability of individual-level genotype-phenotype data across the cohorts limit conducting multivariate tests. We introduce metaCCA, a computational framework for summary statistics-based analysis of a single or multiple studies that allows multivariate representation of both genotype and phenotype. It extends the statistical technique of canonical correlation analysis to the setting where original individual-level records are not available, and employs a covariance shrinkage algorithm to achieve robustness.Multivariate meta-analysis of two Finnish studies of nuclear magnetic resonance metabolomics by metaCCA, using standard univariate output from the program SNPTEST, shows an excellent agreement with the pooled individual-level analysis of original data. Motivated by strong multivariate signals in the lipid genes tested, we envision that multivariate association testing using metaCCA has a great potential to provide novel insights from already published summary statistics from high-throughput phenotyping technologies. Code is available at https://github.com/aalto-ics-kepaco anna.cichonska@helsinki.fi or matti.pirinen@helsinki.fi Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

  1. Childhood abuse and late-life depression: Mediating effects of psychosocial factors for early- and late-onset depression.

    Science.gov (United States)

    Wielaard, Ilse; Hoyer, Mathijs; Rhebergen, Didi; Stek, Max L; Comijs, Hannie C

    2018-03-01

    Childhood abuse makes people vulnerable to developing depression, even in late life. Psychosocial factors that are common in late life, such as loneliness or lack of a partner, may explain this association. Our aim was to investigate whether the association between childhood abuse and depression in older adults can be explained by psychosocial factors. Cross-sectional data were derived from the Netherlands Study of Depression in Older Persons (aged 60-93), including 132 without lifetime depression, 242 persons with an early-onset depression (Childhood abuse (yes/no) and a frequency-based childhood abuse index were included. Multinomial regression and multivariable mediation analyses were used to examine the association between childhood abuse and the onset of depression, and the influence of loneliness, social network, and partner status. Multinomial regression analyses showed a significant association between childhood abuse and the childhood abuse index with early- and late-onset depression. Multivariable mediation analyses showed that the association between childhood abuse and early-onset depression was partly mediated by social network size and loneliness. This was particularly present for emotional neglect and psychological abuse, but not for physical and sexual abuse. No psychosocial mediators were found for the association between childhood abuse and late-onset depression. A smaller social network and feelings of loneliness mediate the association between childhood abuse and early-onset depression in older adults. Our findings show the importance of detecting childhood abuse as well as the age at depression onset and mapping of relevant psychosocial factors in the treatment of late-life depression. Copyright © 2018 John Wiley & Sons, Ltd.

  2. Multivariate techniques of analysis for ToF-E recoil spectrometry data

    Energy Technology Data Exchange (ETDEWEB)

    Whitlow, H.J.; Bouanani, M.E.; Persson, L.; Hult, M.; Jonsson, P.; Johnston, P.N. [Lund Institute of Technology, Solvegatan, (Sweden), Department of Nuclear Physics; Andersson, M. [Uppsala Univ. (Sweden). Dept. of Organic Chemistry; Ostling, M.; Zaring, C. [Royal institute of Technology, Electrum, Kista, (Sweden), Department of Electronics; Johnston, P.N.; Bubb, I.F.; Walker, B.R.; Stannard, W.B. [Royal Melbourne Inst. of Tech., VIC (Australia); Cohen, D.D.; Dytlewski, N. [Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW (Australia)

    1996-12-31

    Multivariate statistical methods are being developed by the Australian -Swedish Recoil Spectrometry Collaboration for quantitative analysis of the wealth of information in Time of Flight (ToF) and energy dispersive Recoil Spectrometry. An overview is presented of progress made in the use of multivariate techniques for energy calibration, separation of mass-overlapped signals and simulation of ToF-E data. 6 refs., 5 figs.

  3. Multivariate techniques of analysis for ToF-E recoil spectrometry data

    Energy Technology Data Exchange (ETDEWEB)

    Whitlow, H J; Bouanani, M E; Persson, L; Hult, M; Jonsson, P; Johnston, P N [Lund Institute of Technology, Solvegatan, (Sweden), Department of Nuclear Physics; Andersson, M [Uppsala Univ. (Sweden). Dept. of Organic Chemistry; Ostling, M; Zaring, C [Royal institute of Technology, Electrum, Kista, (Sweden), Department of Electronics; Johnston, P N; Bubb, I F; Walker, B R; Stannard, W B [Royal Melbourne Inst. of Tech., VIC (Australia); Cohen, D D; Dytlewski, N [Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW (Australia)

    1997-12-31

    Multivariate statistical methods are being developed by the Australian -Swedish Recoil Spectrometry Collaboration for quantitative analysis of the wealth of information in Time of Flight (ToF) and energy dispersive Recoil Spectrometry. An overview is presented of progress made in the use of multivariate techniques for energy calibration, separation of mass-overlapped signals and simulation of ToF-E data. 6 refs., 5 figs.

  4. Advanced event reweighting using multivariate analysis

    International Nuclear Information System (INIS)

    Martschei, D; Feindt, M; Honc, S; Wagner-Kuhr, J

    2012-01-01

    Multivariate analysis (MVA) methods, especially discrimination techniques such as neural networks, are key ingredients in modern data analysis and play an important role in high energy physics. They are usually trained on simulated Monte Carlo (MC) samples to discriminate so called 'signal' from 'background' events and are then applied to data to select real events of signal type. We here address procedures that improve this work flow. This will be the enhancement of data / MC agreement by reweighting MC samples on a per event basis. Then training MVAs on real data using the sPlot technique will be discussed. Finally we will address the construction of MVAs whose discriminator is independent of a certain control variable, i.e. cuts on this variable will not change the discriminator shape.

  5. Multivariate analysis of dopaminergic gene variants as risk factors of heroin dependence.

    Directory of Open Access Journals (Sweden)

    Andrea Vereczkei

    Full Text Available BACKGROUND: Heroin dependence is a debilitating psychiatric disorder with complex inheritance. Since the dopaminergic system has a key role in rewarding mechanism of the brain, which is directly or indirectly targeted by most drugs of abuse, we focus on the effects and interactions among dopaminergic gene variants. OBJECTIVE: To study the potential association between allelic variants of dopamine D2 receptor (DRD2, ANKK1 (ankyrin repeat and kinase domain containing 1, dopamine D4 receptor (DRD4, catechol-O-methyl transferase (COMT and dopamine transporter (SLC6A3 genes and heroin dependence in Hungarian patients. METHODS: 303 heroin dependent subjects and 555 healthy controls were genotyped for 7 single nucleotide polymorphisms (SNPs rs4680 of the COMT gene; rs1079597 and rs1800498 of the DRD2 gene; rs1800497 of the ANKK1 gene; rs1800955, rs936462 and rs747302 of the DRD4 gene. Four variable number of tandem repeats (VNTRs were also genotyped: 120 bp duplication and 48 bp VNTR in exon 3 of DRD4 and 40 bp VNTR and intron 8 VNTR of SLC6A3. We also perform a multivariate analysis of associations using Bayesian networks in Bayesian multilevel analysis (BN-BMLA. FINDINGS AND CONCLUSIONS: In single marker analysis the TaqIA (rs1800497 and TaqIB (rs1079597 variants were associated with heroin dependence. Moreover, -521 C/T SNP (rs1800955 of the DRD4 gene showed nominal association with a possible protective effect of the C allele. After applying the Bonferroni correction TaqIB was still significant suggesting that the minor (A allele of the TaqIB SNP is a risk component in the genetic background of heroin dependence. The findings of the additional multiple marker analysis are consistent with the results of the single marker analysis, but this method was able to reveal an indirect effect of a promoter polymorphism (rs936462 of the DRD4 gene and this effect is mediated through the -521 C/T (rs1800955 polymorphism in the promoter.

  6. Development and validation of a Partial Least Squares-Discriminant Analysis (PLS-DA) model based on the determination of ethyl glucuronide (EtG) and fatty acid ethyl esters (FAEEs) in hair for the diagnosis of chronic alcohol abuse.

    Science.gov (United States)

    Alladio, E; Giacomelli, L; Biosa, G; Corcia, D Di; Gerace, E; Salomone, A; Vincenti, M

    2018-01-01

    The chronic intake of an excessive amount of alcohol is currently ascertained by determining the concentration of direct alcohol metabolites in the hair samples of the alleged abusers, including ethyl glucuronide (EtG) and, less frequently, fatty acid ethyl esters (FAEEs). Indirect blood biomarkers of alcohol abuse are still determined to support hair EtG results and diagnose a consequent liver impairment. In the present study, the supporting role of hair FAEEs is compared with indirect blood biomarkers with respect to the contexts in which hair EtG interpretation is uncertain. Receiver Operating Characteristics (ROC) curves and multivariate Principal Component Analysis (PCA) demonstrated much stronger correlation of EtG results with FAEEs than with any single indirect biomarker or their combinations. Partial Least Squares Discriminant Analysis (PLS-DA) models based on hair EtG and FAEEs were developed to maximize the biomarkers information content on a multivariate background. The final PLS-DA model yielded 100% correct classification on a training/evaluation dataset of 155 subjects, including both chronic alcohol abusers and social drinkers. Then, the PLS-DA model was validated on an external dataset of 81 individual providing optimal discrimination ability between chronic alcohol abusers and social drinkers, in terms of specificity and sensitivity. The PLS-DA scores obtained for each subject, with respect to the PLS-DA model threshold that separates the probabilistic distributions for the two classes, furnished a likelihood ratio value, which in turn conveys the strength of the experimental data support to the classification decision, within a Bayesian logic. Typical boundary real cases from daily work are discussed, too. Copyright © 2017 Elsevier B.V. All rights reserved.

  7. Childhood physical and sexual abuse experiences associated with post-traumatic stress disorder among pregnant women.

    Science.gov (United States)

    Sanchez, Sixto E; Pineda, Omar; Chaves, Diana Z; Zhong, Qiu-Yue; Gelaye, Bizu; Simon, Gregory E; Rondon, Marta B; Williams, Michelle A

    2017-11-01

    We sought to evaluate the extent to which childhood physical and/or sexual abuse history is associated with post-traumatic stress disorder (PTSD) during early pregnancy and to explore the extent to which the childhood abuse-PTSD association is mediated through, or modified by, adult experiences of intimate partner violence (IPV). In-person interviews collected information regarding history of childhood abuse and IPV from 2,928 women aged 18-49 years old prior to 16 weeks of gestation. PTSD was assessed using the PTSD Checklist-Civilian Version. Multivariate logistic regressions were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Compared to women with no childhood abuse, the odds of PTSD were increased 4.31-fold for those who reported physical abuse only (95% CI, 2.18-8.49), 5.33-fold for sexual abuse only (95% CI, 2.38-11.98), and 8.03-fold for those who reported physical and sexual abuse (95% CI, 4.10-15.74). Mediation analysis showed 13% of the childhood abuse-PTSD association was mediated by IPV. Furthermore, high odds of PTSD were noted among women with histories of childhood abuse and IPV compared with women who were not exposed to either (OR = 20.20; 95% CI, 8.18-49.85). Childhood abuse is associated with increased odds of PTSD during early pregnancy. The odds of PTSD were particularly elevated among women with a history of childhood abuse and IPV. Efforts should be made to prevent childhood abuse and mitigate its effects on women's mental health. Copyright © 2017 Elsevier Inc. All rights reserved.

  8. Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)

    Science.gov (United States)

    Steyn, H. S., Jr.; Ellis, S. M.

    2009-01-01

    When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether…

  9. Retrospective analysis of necropsy reports suggestive of abuse in dogs and cats.

    Science.gov (United States)

    Almeida, Daniel C; Torres, Sheila M F; Wuenschmann, Arno

    2018-02-15

    OBJECTIVE To identify historical and necropsy findings suggestive of neglect or abuse of dogs and cats by retrospective analysis of necropsy reports from a veterinary diagnostic laboratory. DESIGN Retrospective cohort study. SAMPLE 119 necropsy reports of dogs and cats. PROCEDURES Necropsy reports from February 2001 to May 2012 were electronically searched to identify potential animal abuse or neglect cases. Cases were selected and categorized according to a previously proposed method for classification of animal abuse. Inclusion criteria included signs of neglect, nonaccidental injury (NAI; blunt-force or sharp-force trauma, gunshot, burns, drowning, asphyxiation, and suspicious intoxications), and sexual abuse. Poor preservation of cadavers, age abuse cases, determined on the basis of all necropsies performed in the study period, was 73 of 8,417 (0.87%) in dogs and 46 of 4,905 (0.94%) in cats. Neglect and NAI were commonly identified in cats; NAI was most commonly found in dogs. Gunshot and blunt-force trauma were the most common NAIs in dogs and cats, respectively. Pit bull-type dogs (29/73 [40%]) were overrepresented in several abuse categories. Most cats (29/46 [63%]) were domestic shorthair, but no breed association was found. Most (41/71 [58%]) affected animals with age data available were ≤ 2 years old. CONCLUSIONS AND CLINICAL RELEVANCE Approximately 1% of dogs and cats necropsied in the study period had signs suggestive of abuse. Medical findings alone are not necessarily indicative of abuse, but some findings can increase the index of suspicion.

  10. Point defect characterization in HAADF-STEM images using multivariate statistical analysis

    International Nuclear Information System (INIS)

    Sarahan, Michael C.; Chi, Miaofang; Masiel, Daniel J.; Browning, Nigel D.

    2011-01-01

    Quantitative analysis of point defects is demonstrated through the use of multivariate statistical analysis. This analysis consists of principal component analysis for dimensional estimation and reduction, followed by independent component analysis to obtain physically meaningful, statistically independent factor images. Results from these analyses are presented in the form of factor images and scores. Factor images show characteristic intensity variations corresponding to physical structure changes, while scores relate how much those variations are present in the original data. The application of this technique is demonstrated on a set of experimental images of dislocation cores along a low-angle tilt grain boundary in strontium titanate. A relationship between chemical composition and lattice strain is highlighted in the analysis results, with picometer-scale shifts in several columns measurable from compositional changes in a separate column. -- Research Highlights: → Multivariate analysis of HAADF-STEM images. → Distinct structural variations among SrTiO 3 dislocation cores. → Picometer atomic column shifts correlated with atomic column population changes.

  11. Multivariate analysis of risk factors for long-term urethroplasty outcome.

    Science.gov (United States)

    Breyer, Benjamin N; McAninch, Jack W; Whitson, Jared M; Eisenberg, Michael L; Mehdizadeh, Jennifer F; Myers, Jeremy B; Voelzke, Bryan B

    2010-02-01

    We studied the patient risk factors that promote urethroplasty failure. Records of patients who underwent urethroplasty at the University of California, San Francisco Medical Center between 1995 and 2004 were reviewed. Cox proportional hazards regression analysis was used to identify multivariate predictors of urethroplasty outcome. Between 1995 and 2004, 443 patients of 495 who underwent urethroplasty had complete comorbidity data and were included in analysis. Median patient age was 41 years (range 18 to 90). Median followup was 5.8 years (range 1 month to 10 years). Stricture recurred in 93 patients (21%). Primary estimated stricture-free survival at 1, 3 and 5 years was 88%, 82% and 79%. After multivariate analysis smoking (HR 1.8, 95% CI 1.0-3.1, p = 0.05), prior direct vision internal urethrotomy (HR 1.7, 95% CI 1.0-3.0, p = 0.04) and prior urethroplasty (HR 1.8, 95% CI 1.1-3.1, p = 0.03) were predictive of treatment failure. On multivariate analysis diabetes mellitus showed a trend toward prediction of urethroplasty failure (HR 2.0, 95% CI 0.8-4.9, p = 0.14). Length of urethral stricture (greater than 4 cm), prior urethroplasty and failed endoscopic therapy are predictive of failure after urethroplasty. Smoking and diabetes mellitus also may predict failure potentially secondary to microvascular damage. Copyright 2010 American Urological Association. Published by Elsevier Inc. All rights reserved.

  12. A twin study of the neuropsychological consequences of stimulant abuse.

    Science.gov (United States)

    Toomey, Rosemary; Lyons, Michael J; Eisen, Seth A; Xian, Hong; Chantarujikapong, Sunanta; Seidman, Larry J; Faraone, Stephen V; Tsuang, Ming T

    2003-03-01

    Previous studies document neuropsychological deficits associated with stimulant abuse, but findings are inconsistent. We identified 50 twin pairs in which only 1 member had heavy stimulant abuse (cocaine and/or amphetamines) ending at least 1 year before the evaluation. The co-twin control research design controls for familial vulnerability and makes it easier to identify neuropsychological deficits that are consequences of stimulant abuse. Subjects were administered an extensive neuropsychological test battery organized into the following 5 functions: attention, executive functioning, motor skills, intelligence, and memory. Multivariate tests showed that abusers performed significantly worse than nonabusers on functions of attention and motor skills. Within each of these functions, univariate tests showed that abusers performed significantly worse on certain tests of motor skills and attention. In contrast, abusers performed significantly better on one test of attention measuring visual vigilance. Within the abuser group, higher levels of stimulant use were largely uncorrelated with neuropsychological test scores, although a few significant correlations indicated better functioning with more stimulant use. With ideal controls, this study demonstrates that deficits in attention and motor skills persist after 1 year of abstinence from stimulant use and raises hypotheses regarding relative strengths on a vigilance task among abusers.

  13. Using Interactive Graphics to Teach Multivariate Data Analysis to Psychology Students

    Science.gov (United States)

    Valero-Mora, Pedro M.; Ledesma, Ruben D.

    2011-01-01

    This paper discusses the use of interactive graphics to teach multivariate data analysis to Psychology students. Three techniques are explored through separate activities: parallel coordinates/boxplots; principal components/exploratory factor analysis; and cluster analysis. With interactive graphics, students may perform important parts of the…

  14. TMVA - Toolkit for Multivariate Data Analysis with ROOT Users guide

    CERN Document Server

    Höcker, A; Tegenfeldt, F; Voss, H; Voss, K; Christov, A; Henrot-Versillé, S; Jachowski, M; Krasznahorkay, A; Mahalalel, Y; Prudent, X; Speckmayer, P

    2007-01-01

    Multivariate machine learning techniques for the classification of data from high-energy physics (HEP) experiments have become standard tools in most HEP analyses. The multivariate classifiers themselves have significantly evolved in recent years, also driven by developments in other areas inside and outside science. TMVA is a toolkit integrated in ROOT which hosts a large variety of multivariate classification algorithms. They range from rectangular cut optimisation (using a genetic algorithm) and likelihood estimators, over linear and non-linear discriminants (neural networks), to sophisticated recent developments like boosted decision trees and rule ensemble fitting. TMVA organises the simultaneous training, testing, and performance evaluation of all these classifiers with a user-friendly interface, and expedites the application of the trained classifiers to the analysis of data sets with unknown sample composition.

  15. Affective temperaments play an important role in the relationship between child abuse and the diagnosis of bipolar disorder.

    Science.gov (United States)

    Toda, Hiroyuki; Inoue, Takeshi; Tanichi, Masaaki; Saito, Taku; Nakagawa, Shin; Masuya, Jiro; Tanabe, Hajime; Yoshino, Aihide; Kusumi, Ichiro

    2018-04-01

    In previous studies, various components such as environmental and genetic factors have been shown to contribute to the development of bipolar disorder (BD). This study investigated how multiple factors, including child abuse, adult life events, and affective temperaments, are interrelated and how they affect the diagnosis of BD. A total of 170 healthy controls and 75 BD patients completed the following self-administered questionnaires: the Patient Health Questionnaire-9 evaluating the severity of depressive symptoms; the Child Abuse and Trauma Scale (CATS) evaluating child abuse; the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego autoquestionnaire (TEMPS-A) evaluating affective temperaments; and the Life Experiences Survey (LES) evaluating negative and positive adult life events. The data were subjected to univariate analysis, multivariable analysis, and structural equation modeling. The structural equation modeling showed that the diagnosis of BD was indirectly predicted by the neglect and sexual abuse scores of the CATS through four affective temperaments (depressive, cyclothymic, irritable, and anxious) of the TEMPS-A and directly predicted by these four affective temperaments. This study suggested that affective temperament plays an important role as a mediator in the influence of child abuse on BD diagnosis. Copyright © 2018 Elsevier B.V. All rights reserved.

  16. Application of Multivariable Statistical Techniques in Plant-wide WWTP Control Strategies Analysis

    DEFF Research Database (Denmark)

    Flores Alsina, Xavier; Comas, J.; Rodríguez-Roda, I.

    2007-01-01

    The main objective of this paper is to present the application of selected multivariable statistical techniques in plant-wide wastewater treatment plant (WWTP) control strategies analysis. In this study, cluster analysis (CA), principal component analysis/factor analysis (PCA/FA) and discriminant...... analysis (DA) are applied to the evaluation matrix data set obtained by simulation of several control strategies applied to the plant-wide IWA Benchmark Simulation Model No 2 (BSM2). These techniques allow i) to determine natural groups or clusters of control strategies with a similar behaviour, ii......) to find and interpret hidden, complex and casual relation features in the data set and iii) to identify important discriminant variables within the groups found by the cluster analysis. This study illustrates the usefulness of multivariable statistical techniques for both analysis and interpretation...

  17. Metal concentration at surface water using multivariate analysis and ...

    African Journals Online (AJOL)

    Metal concentration at surface water using multivariate analysis and human health risk assessment. F Azaman, H Juahir, K Yunus, A Azid, S.I. Khalit, A.D. Mustafa, M.A. Amran, C.N.C. Hasnam, M.Z.A.Z. Abidin, M.A.M. Yusri ...

  18. Characteristics of Sexually Abused Children and Their Nonoffending Mothers Followed by Child Welfare Services: The Role of a Maternal History of Child Sexual Abuse.

    Science.gov (United States)

    Baril, Karine; Tourigny, Marc; Paillé, Pierre; Pauzé, Robert

    2016-07-01

    Considering the importance of mother's support in the adaptation of a sexually abused child, it is relevant to determine if the mothers and children involved in an intergenerational cycle of child sexual victimization differ from dyads in which only the child has been abused. The purpose of this study was to compare mother-child dyads with sexually abused children according to whether the mother had herself been victim of child sexual abuse. The sample included 87 dyads with sexually abused children aged 3-18 years old and their mothers (44 reporting maternal and child abuse), followed by social welfare services of the province of Quebec (Canada). The two groups of mothers were compared on their past family abuse experiences and past family relations, their mental health history, their current psychological distress, their parenting behaviors, and their current levels of family functioning. Children were compared on their adaptation. Multivariate analyses indicated that mothers reporting child sexual abuse were more likely to report more other maltreatments in their childhood and greater prevalence of lifetime history of alcohol abuse disorders, dysthymia, and panic disorder compared with mothers who had not experienced CSA. Compared to children whose mothers had not experienced CSA, those whose mothers had experienced CSA showed higher rates of problems behaviors and were more likely to report having been sexually abused by a trusted person. These results highlight the specific clinical needs for the assessment and treatment for sexually abused children whose mothers experienced child sexual abuse.

  19. Multivariate statistical analysis of atom probe tomography data

    International Nuclear Information System (INIS)

    Parish, Chad M.; Miller, Michael K.

    2010-01-01

    The application of spectrum imaging multivariate statistical analysis methods, specifically principal component analysis (PCA), to atom probe tomography (APT) data has been investigated. The mathematical method of analysis is described and the results for two example datasets are analyzed and presented. The first dataset is from the analysis of a PM 2000 Fe-Cr-Al-Ti steel containing two different ultrafine precipitate populations. PCA properly describes the matrix and precipitate phases in a simple and intuitive manner. A second APT example is from the analysis of an irradiated reactor pressure vessel steel. Fine, nm-scale Cu-enriched precipitates having a core-shell structure were identified and qualitatively described by PCA. Advantages, disadvantages, and future prospects for implementing these data analysis methodologies for APT datasets, particularly with regard to quantitative analysis, are also discussed.

  20. Micro-Raman Imaging for Biology with Multivariate Spectral Analysis

    KAUST Repository

    Malvaso, Federica

    2015-05-05

    Raman spectroscopy is a noninvasive technique that can provide complex information on the vibrational state of the molecules. It defines the unique fingerprint that allow the identification of the various chemical components within a given sample. The aim of the following thesis work is to analyze Raman maps related to three pairs of different cells, highlighting differences and similarities through multivariate algorithms. The first pair of analyzed cells are human embryonic stem cells (hESCs), while the other two pairs are induced pluripotent stem cells (iPSCs) derived from T lymphocytes and keratinocytes, respectively. Although two different multivariate techniques were employed, ie Principal Component Analysis and Cluster Analysis, the same results were achieved: the iPSCs derived from T-lymphocytes show a higher content of genetic material both compared with the iPSCs derived from keratinocytes and the hESCs . On the other side, equally evident, was that iPS cells derived from keratinocytes assume a molecular distribution very similar to hESCs.

  1. Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

    International Nuclear Information System (INIS)

    Martin, Madhavi Z.; Labbe, Nicole; Rials, Timothy G.; Wullschleger, Stan D.

    2005-01-01

    In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate

  2. Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

    Energy Technology Data Exchange (ETDEWEB)

    Martin, Madhavi Z. [Environmental Sciences Division Oak Ridge National Laboratory, P.O. Box 2008 MS 6422, Oak Ridge TN 37831-6422 (United States); Labbe, Nicole [Forest Products Center, University of Tennessee, 2506 Jacob Drive, Knoxville, TN 37996-4570 (United States)]. E-mail: nlabbe@utk.edu; Rials, Timothy G. [Forest Products Center, University of Tennessee, 2506 Jacob Drive, Knoxville, TN 37996-4570 (United States); Wullschleger, Stan D. [Environmental Sciences Division Oak Ridge National Laboratory, P.O. Box 2008 MS 6422, Oak Ridge TN 37831-6422 (United States)

    2005-08-31

    In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate.

  3. A Predictive and Follow-Up Study of Abusive and Neglectful Families by Case Analysis.

    Science.gov (United States)

    Heap, Kari Killen

    1991-01-01

    A case analysis, predictive study, and follow-up study of 17 abused and/or neglected children found that the prognosis for abusive and/or neglectful parents is poorer when they are scored high on immaturity than when they are scored high on emotional problems. (BRM)

  4. Elder abuse as a risk factor for psychological distress among older adults in India: a cross-sectional study.

    Science.gov (United States)

    Evandrou, Maria; Falkingham, Jane C; Qin, Min; Vlachantoni, Athina

    2017-10-22

    This study examines the association between elder abuse and psychological distress among older adults in India and explores whether this association varies by the level of psychosocial and material resources. The study uses a cross-sectional survey design. The data are drawn from a representative sample of 9589 adults aged 60 and above in seven Indian states-Himachal Pradesh, Punjab, West Bengal, Odisha, Maharashtra, Kerala and Tamil Nadu-in 2011. Secondary analysis, using bivariate and multivariate logistic regression models, is conducted using the United Nations Population Fund project Building Knowledge Base on Ageing in India survey. Elder abuse (physical and/or emotional) emanating from family members in the previous month before the survey is examined. Multivariate models are run on the total analytical sample and for men and women separately. The overall prevalence of psychological distress among persons aged 60 and over living in the seven Indian States is 40.6%. Among those older persons who experienced some form of physical or emotional abuse or violence in the last month, the prevalence of psychological distress is much higher than that in the general older population, at 61.6% (pwealth has an inverse relationship with mental health, with the association between experiencing elder abuse and reporting poor mental health being strongest among older people in wealthy households. Elder abuse in India is currently a neglected phenomenon, and greater recognition of the link between abuse and mental health is critical to improve the well-being of vulnerable older adults, some of whom may be 'hidden' within well-off households. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  5. Multivariate Statistical Methods as a Tool of Financial Analysis of Farm Business

    Czech Academy of Sciences Publication Activity Database

    Novák, J.; Sůvová, H.; Vondráček, Jiří

    2002-01-01

    Roč. 48, č. 1 (2002), s. 9-12 ISSN 0139-570X Institutional research plan: AV0Z1030915 Keywords : financial analysis * financial ratios * multivariate statistical methods * correlation analysis * discriminant analysis * cluster analysis Subject RIV: BB - Applied Statistics, Operational Research

  6. Childhood sexual abuse history and role reversal in parenting.

    Science.gov (United States)

    Alexander, P C; Teti, L; Anderson, C L

    2000-06-01

    This study explored the main and interactive effects of sexual abuse history and relationship satisfaction on self-reported parenting, controlling for histories of physical abuse and parental alcoholism. The community sample consisted of 90 mothers of 5- to 8-year-old children. The sample was limited to those mothers currently in an intimate relationship, 19 of whom reported a history of childhood sexual abuse. Participants completed the Child Behavior Checklist, the Parenting Stress Inventory, the Family Cohesion Index, and questions assessing parent-child role reversal, history of abuse and parental alcoholism, and current relationship satisfaction. Results of analyses and multivariate analyses of covariance suggested that sexual abuse survivors with an unsatisfactory intimate relationship were more likely than either sexual abuse survivors with a satisfactory relationship or nonabused women to endorse items on a questionnaire of role reversal (defined as emotional overdependence upon one's child). Role reversal was not significantly predicted by histories of physical abuse or parental alcoholism or child's gender. While parenting stress was inversely predicted by the significant main effect of relationship satisfaction, neither parenting stress nor child behavior problems were predicted by the main effect of sexual abuse history or by the interaction between sexual abuse history and relationship satisfaction. These results suggest the unique relevance of sexual abuse history and relationship satisfaction in the prediction of a specific type of parent-child role reversal--namely, a mother's emotional overdependence upon her child.

  7. Physical violence and psychological abuse among siblings :a theoretical and empirical analysis

    OpenAIRE

    Hoffman, Kristi L.

    1996-01-01

    This study develops and evaluates a theoretical model based on social learning, conflict, and feminist perspectives to explain teenage sibling physical violence and psychological abuse. Using regression analysis and data from 796 young adults, considerable support is found for all three theoretical approaches and suggests an integrated model best predicts acts of violence and abuse among siblings. For physical violence, males and brothers had significantly higher rates. Spousal...

  8. Multivariate meta-analysis: a robust approach based on the theory of U-statistic.

    Science.gov (United States)

    Ma, Yan; Mazumdar, Madhu

    2011-10-30

    Meta-analysis is the methodology for combining findings from similar research studies asking the same question. When the question of interest involves multiple outcomes, multivariate meta-analysis is used to synthesize the outcomes simultaneously taking into account the correlation between the outcomes. Likelihood-based approaches, in particular restricted maximum likelihood (REML) method, are commonly utilized in this context. REML assumes a multivariate normal distribution for the random-effects model. This assumption is difficult to verify, especially for meta-analysis with small number of component studies. The use of REML also requires iterative estimation between parameters, needing moderately high computation time, especially when the dimension of outcomes is large. A multivariate method of moments (MMM) is available and is shown to perform equally well to REML. However, there is a lack of information on the performance of these two methods when the true data distribution is far from normality. In this paper, we propose a new nonparametric and non-iterative method for multivariate meta-analysis on the basis of the theory of U-statistic and compare the properties of these three procedures under both normal and skewed data through simulation studies. It is shown that the effect on estimates from REML because of non-normal data distribution is marginal and that the estimates from MMM and U-statistic-based approaches are very similar. Therefore, we conclude that for performing multivariate meta-analysis, the U-statistic estimation procedure is a viable alternative to REML and MMM. Easy implementation of all three methods are illustrated by their application to data from two published meta-analysis from the fields of hip fracture and periodontal disease. We discuss ideas for future research based on U-statistic for testing significance of between-study heterogeneity and for extending the work to meta-regression setting. Copyright © 2011 John Wiley & Sons, Ltd.

  9. Instrumental Neutron Activation Analysis and Multivariate Statistics for Pottery Provenance

    Science.gov (United States)

    Glascock, M. D.; Neff, H.; Vaughn, K. J.

    2004-06-01

    The application of instrumental neutron activation analysis and multivariate statistics to archaeological studies of ceramics and clays is described. A small pottery data set from the Nasca culture in southern Peru is presented for illustration.

  10. Instrumental Neutron Activation Analysis and Multivariate Statistics for Pottery Provenance

    International Nuclear Information System (INIS)

    Glascock, M. D.; Neff, H.; Vaughn, K. J.

    2004-01-01

    The application of instrumental neutron activation analysis and multivariate statistics to archaeological studies of ceramics and clays is described. A small pottery data set from the Nasca culture in southern Peru is presented for illustration.

  11. Instrumental Neutron Activation Analysis and Multivariate Statistics for Pottery Provenance

    Energy Technology Data Exchange (ETDEWEB)

    Glascock, M. D.; Neff, H. [University of Missouri, Research Reactor Center (United States); Vaughn, K. J. [Pacific Lutheran University, Department of Anthropology (United States)

    2004-06-15

    The application of instrumental neutron activation analysis and multivariate statistics to archaeological studies of ceramics and clays is described. A small pottery data set from the Nasca culture in southern Peru is presented for illustration.

  12. Toward a more comprehensive analysis of the role of organizational culture in child sexual abuse in institutional contexts.

    Science.gov (United States)

    Palmer, Donald; Feldman, Valerie

    2017-12-01

    This article draws on a report prepared for the Australian Royal Commission into Institutional Responses to Child Sexual Abuse (Palmer et al., 2016) to develop a more comprehensive analysis of the role that organizational culture plays in child sexual abuse in institutional contexts, where institutional contexts are taken to be formal organizations that include children among their members (referred to here as "youth-serving organizations"). We begin by integrating five strains of theory and research on organizational culture from organizational sociology and management theory into a unified framework for analysis. We then elaborate the main paths through which organizational culture can influence child sexual abuse in youth-serving organizations. We then use our unified analytic framework and our understanding of the main paths through which organizational culture can influence child sexual abuse in youth-serving organizations to analyze the role that organizational culture plays in the perpetration, detection, and response to child sexual abuse in youth-serving organizations. We selectively illustrate our analysis with case materials compiled by the Royal Commission into Institutional Responses to Child Sexual Abuse and reports of child sexual abuse published in a variety of other sources. We conclude with a brief discussion of the policy implications of our analysis. Copyright © 2017. Published by Elsevier Ltd.

  13. Risk factors of child physical abuse by parents with mixed anxiety-depressive disorder or posttraumatic stress disorder.

    Science.gov (United States)

    Kalebić Jakupčević, Katija; Ajduković, Marina

    2011-02-01

    To determine the risk that parents with mixed anxiety and depressive disorder (MADD) or posttraumatic stress disorder (PTSD) will physically abuse their child and evaluate the specific contribution of mental health, perceived social support, experience of childhood abuse, and attributes of family relations to the risk of child physical abuse. The study conducted in 2007 included men (n = 25) and women (n = 25) with a diagnosis of MADD, men with a diagnosis of PTSD (n = 30), and a control sample of parents from the general population (n = 100, 45 men and 55 women) with children of elementary school age. General Information Questionnaire, Child Abuse Experience Inventory, Perceived Social Support Scale, and the Child Abuse Potential Inventory (CAPI) Clinical Abuse Scale were used. Total results on the Clinical Abuse Scale of the CAPI indicated higher risk of child physical abuse in parents with MADD (273.3 ± 13.6) and in fathers with PTSD (333.21 ± 17.98) than in parents from the general population (79.6 ± 9.9) (F = 110.40, P < 0.001; tPTSD,MADD = 13.73, P < 0.001). A hierarchical regression analysis showed that the greatest predictors in the multivariate model were mental health difficulties, poorer economic status, poor social support, and physical and verbal aggression in partner conflicts. Parents with MADD and PTSD exhibit high risk of child abuse. Since parents with PTSD have significantly higher risk of child abuse than parents with MADD, further large-sample research is needed to clarify the relationship between PTSD intensity and the risk of child abuse.

  14. Multivariate statistics exercises and solutions

    CERN Document Server

    Härdle, Wolfgang Karl

    2015-01-01

    The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center  www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.

  15. Personality disorders in substance abusers: Validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

    Directory of Open Access Journals (Sweden)

    Hesse Morten

    2005-05-01

    Full Text Available Abstract Background Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated. Methods The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133, and (b a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales. Results It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion. Conclusion The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.

  16. Domestic violence and treatment seeking: a longitudinal study of low-income women and mental health/substance abuse care.

    Science.gov (United States)

    Cheng, Tyrone C; Lo, Celia C

    2014-01-01

    A study with 591 low-income women examined domestic violence's role in treatment seeking for mental health or substance abuse problems. (The women resided in one of two California counties.) Following Aday's behavioral model of health services utilization, the secondary data analysis considered the women's need, enabling, and predisposing factors. Generalized estimating equations analyzed the women's longitudinal records of treatment seeking. Results showed that those in the sample who were likely to seek treatment had experienced three or more controlling behaviors and only one abusive behavior. Multivariate data analysis showed treatment-seeking women were likely to be white and older; responsible for few dependent children; not graduates of high school; employed; not participating in Medicaid; diagnosed; and perceiving a need for treatment. The implications of these results for services and policies are discussed.

  17. Prevalence and predictors of Axis I disorders in a large sample of treatment-seeking victims of sexual abuse and incest

    Directory of Open Access Journals (Sweden)

    Eoin McElroy

    2016-04-01

    Full Text Available Background: Childhood sexual abuse (CSA is a common occurrence and a robust, yet non-specific, predictor of adult psychopathology. While many demographic and abuse factors have been shown to impact this relationship, their common and specific effects remain poorly understood. Objective: This study sought to assess the prevalence of Axis I disorders in a large sample of help-seeking victims of sexual trauma, and to examine the common and specific effects of demographic and abuse characteristics across these different diagnoses. Method: The participants were attendees at four treatment centres in Denmark that provide psychological therapy for victims of CSA (N=434. Axis I disorders were assessed using the Millon Clinical Multiaxial Inventory-III (MCMI-III. Multivariate logistic regression analysis was used to examine the associations between CSA characteristics (age of onset, duration, number of abusers, number of abusive acts and 10 adult clinical syndromes. Results: There was significant variation in the prevalence of disorders and the abuse characteristics were differentially associated with the outcome variables. Having experienced sexual abuse from more than one perpetrator was the strongest predictor of psychopathology. Conclusions: The relationship between CSA and adult psychopathology is complex. Abuse characteristics have both unique and shared effects across different diagnoses.

  18. Sexual abuse and substance abuse increase risk of suicidal behavior in Malaysian youth.

    Science.gov (United States)

    Chan, Lai Fong; Maniam, T; Saini, Suriati Mohamed; Shah, Shamsul Azhar; Loh, Sit Fong; Sinniah, Aishvarya; Idris, Zawaha Haji; Che Rus, Sulaiman; Hassan Nudin, Siti Sa'adiah; Tan, Susan Mooi Koon

    2013-04-01

    The aim of this study was to determine the association between sexual abuse, substance abuse and socio-demographic factors with suicidal ideation (SI), plans (SP) and deliberate self-harm (DSH) and propose steps to prevent youth suicidal behavior. This was a cross-sectional study of 6786 adolescents aged 17-18 years, selected randomly from all Malaysian adolescents to undergo compulsory youth camps located in Selangor, Malaysia (2008-2009). Participants were assessed using self-administered questionnaires developed to reflect the local cultural setting. However, only 4581 subjects were analyzed after excluding incomplete data. The rates of SI, SP and DSH were 7.6%, 3.2% and 6.3%, respectively. The multivariable-adjusted odds ratio showed that sexual abuse was associated with SI 1.99 (95% CI: 1.56-2.55), SP 1.57 (95% CI: 1.09-2.27) and DSH 2.26 (95% CI: 1.75-2.94); illicit drug use was associated with SI 4.05 (95% CI: 2.14-7.67), SP 2.62 (95% CI: 1.05-6.53) and DSH 2.06, (95% CI: 1.05-4.04); for alcohol use DSH was 1.34 (95% CI: 1.00-1.79). Being female was associated with all suicidal behaviors: SI 2.51 (95% CI: 1.91-3.30), SP 2.07 (95% CI: 1.39-3.08) and DSH 1.59 (95% CI: 1.19-2.11). Given the well-founded concern of increasing risk of suicidal behavior among youth, preventive efforts should adopt a more comprehensive approach in dealing with sexual abuse and substance abuse, and their sequelae, especially in girls. Copyright © 2013 Wiley Publishing Asia Pty Ltd.

  19. Study of ionically modified water performance in carbonate reservoir system by multivariate data analysis

    DEFF Research Database (Denmark)

    Sohal, Muhammad Adeel Nassar; Kucheryavskiy, Sergey V.; Thyne, Geoffrey

    2017-01-01

    the critical mechanisms at the pore scale. Better pore scale physico-chemical understanding will guide to formulate accurate reservoir-scale models. This paper presents a comprehensive meta-analysis of the proposed mechanisms using multivariate data analysis. Detailed review of the subject, including...... mechanisms with supporting and contradictory evidence has been presented by Sohal et al. (2016). In this study, the significance of each contributing factor to EOR was quantified and subjected to rigorous multivariate statistical analysis. The analysis was limited because there is no uniform methodology...

  20. The studies of post-medieval glass by multivariate and X-ray fluorescence analysis

    International Nuclear Information System (INIS)

    Kierzek, J.; Kunicki-Goldfinger, J.

    2002-01-01

    Multivariate statistical analysis of the results obtained by energy dispersive X-ray fluorescence analysis has been used in the study of baroque vessel glasses originated from central Europe. X-ray spectrometry can be applied as a completely non-destructive, non-sampling and multi-element method. It is very useful in the studies of valuable historical artefacts. For the last years, multivariate statistical analysis has been developed as an important tool for the archaeometric purposes. Cluster, principal component and discriminant analysis were applied for the classification of the examined objects. The obtained results show that these statistical tools are very useful and complementary in the studies of historical objects. (author)

  1. Multivariable analysis: a practical guide for clinicians and public health researchers

    National Research Council Canada - National Science Library

    Katz, Mitchell H

    2011-01-01

    .... It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae...

  2. Family Closeness and Domestic Abuse Among Caribbean and South American Women in South Florida

    Science.gov (United States)

    Rojas, Patria; Dillon, Frank R.; Duan, Rui; De La Rosa, Mario

    2017-01-01

    This paper focuses on the importance of family member closeness as a protective factor against domestic abuse. We explore the link between long-lasting relations within the family and intra-familial violence perpetrated against women in Latino households in South Florida. We use data from an Inter-generational Transmission of Drug Use between Latina Mothers and Daughters (ITDMD) study. The study includes data on family relations and domestic abuse. We estimate a series of multivariate regressions to obtain the probability of abuse against women, the types of abuse inflicted and the relationship with the abusers. Our results indicate that among abused women, the effects of long-lasting relations within the family differ depending on the type of relationship between the abuser and the victim and the degree of closeness the victim feels towards other family members. Given these findings, there is a need to further study family relations and abuse in Latino households. PMID:29033494

  3. Traumatic brain injury and alcohol/substance abuse: A Bayesian meta-analysis comparing the outcomes of people with and without a history of abuse.

    Science.gov (United States)

    Unsworth, David J; Mathias, Jane L

    2017-08-01

    Alcohol and substance (drugs and/or alcohol) abuse are major risk factors for traumatic brain injury (TBI); however, it remains unclear whether outcomes differ for those with and without a history of preinjury abuse. A meta-analysis was performed to examine this issue. The PubMed, Embase, and PsycINFO databases were searched for research that compared the neuroradiological, cognitive, or psychological outcomes of adults with and without a documented history of alcohol and/or substance abuse who sustained nonpenetrating TBIs. Data from 22 studies were analyzed using a random-effects model: Hedges's g effect sizes measured the mean difference in outcomes of individuals with/without a history of preinjury abuse, and Bayes factors assessed the probability that the outcomes differed. Patients with a history of alcohol and/or substance abuse had poorer neuroradiological outcomes, including reduced hippocampal (g = -0.82) and gray matter volumes (g = -0.46 to -0.82), and enlarged cerebral ventricles (g = -0.73 to -0.80). There were limited differences in cognitive outcomes: Executive functioning (g = -0.51) and memory (g = -0.39 to -0.43) were moderately affected, but attention and reasoning were not. The findings for fine motor ability, construction, perception, general cognition, and language were inconclusive. Postinjury substance and alcohol use (g = -0.97 to -1.07) and emotional functioning (g = -0.29 to -0.44) were worse in those with a history of alcohol and/or substance abuse (psychological outcomes). This study highlighted the type and extent of post-TBI differences between persons with and without a history of alcohol or substance abuse, many of which may hamper recovery. However, variation in the criteria for premorbid abuse, limited information regarding the history of abuse, and an absence of preinjury baseline data prevented an assessment of whether the differences predated the TBI, occurred as a result of ongoing alcohol/substance abuse, or

  4. Acute Precipitants of Physical Elder Abuse: Qualitative Analysis of Legal Records From Highly Adjudicated Cases.

    Science.gov (United States)

    Rosen, Tony; Bloemen, Elizabeth M; LoFaso, Veronica M; Clark, Sunday; Flomenbaum, Neal E; Breckman, Risa; Markarian, Arlene; Riffin, Catherine; Lachs, Mark S; Pillemer, Karl

    2016-08-01

    Elder abuse is a common phenomenon with potentially devastating consequences for older adults. Although researchers have begun to identify predisposing risk factors for elder abuse victims and abusers, little is known about the acute precipitants that lead to escalation to physical violence. We analyzed legal records from highly adjudicated cases to describe these acute precipitants for physical elder abuse. In collaboration with a large, urban district attorney's office, we qualitatively evaluated legal records from 87 successfully prosecuted physical elder abuse cases from 2003 to 2015. We transcribed and analyzed narratives of the events surrounding physical abuse within victim statements, police reports, and prosecutor records. We identified major themes using content analysis. We identified 10 categories of acute precipitants that commonly triggered physical elder abuse, including victim attempting to prevent the abuser from entering or demanding that he or she leave, victim threatening or attempting to leave/escape, threat or perception that the victim would involve the authorities, conflict about a romantic relationship, presence during/intervention in ongoing family violence, issues in multi-generational child rearing, conflict about the abuser's substance abuse, confrontation about financial exploitation, dispute over theft/destruction of property, and disputes over minor household issues. Common acute precipitants of physical elder abuse may be identified. Improved understanding of these acute precipitants for escalation to physical violence and their contribution to elder abuse may assist in the development of prevention and management strategies.

  5. Comprehensive drought characteristics analysis based on a nonlinear multivariate drought index

    Science.gov (United States)

    Yang, Jie; Chang, Jianxia; Wang, Yimin; Li, Yunyun; Hu, Hui; Chen, Yutong; Huang, Qiang; Yao, Jun

    2018-02-01

    It is vital to identify drought events and to evaluate multivariate drought characteristics based on a composite drought index for better drought risk assessment and sustainable development of water resources. However, most composite drought indices are constructed by the linear combination, principal component analysis and entropy weight method assuming a linear relationship among different drought indices. In this study, the multidimensional copulas function was applied to construct a nonlinear multivariate drought index (NMDI) to solve the complicated and nonlinear relationship due to its dependence structure and flexibility. The NMDI was constructed by combining meteorological, hydrological, and agricultural variables (precipitation, runoff, and soil moisture) to better reflect the multivariate variables simultaneously. Based on the constructed NMDI and runs theory, drought events for a particular area regarding three drought characteristics: duration, peak, and severity were identified. Finally, multivariate drought risk was analyzed as a tool for providing reliable support in drought decision-making. The results indicate that: (1) multidimensional copulas can effectively solve the complicated and nonlinear relationship among multivariate variables; (2) compared with single and other composite drought indices, the NMDI is slightly more sensitive in capturing recorded drought events; and (3) drought risk shows a spatial variation; out of the five partitions studied, the Jing River Basin as well as the upstream and midstream of the Wei River Basin are characterized by a higher multivariate drought risk. In general, multidimensional copulas provides a reliable way to solve the nonlinear relationship when constructing a comprehensive drought index and evaluating multivariate drought characteristics.

  6. Use of multivariate extensions of generalized linear models in the analysis of data from clinical trials

    OpenAIRE

    ALONSO ABAD, Ariel; Rodriguez, O.; TIBALDI, Fabian; CORTINAS ABRAHANTES, Jose

    2002-01-01

    In medical studies the categorical endpoints are quite often. Even though nowadays some models for handling this multicategorical variables have been developed their use is not common. This work shows an application of the Multivariate Generalized Linear Models to the analysis of Clinical Trials data. After a theoretical introduction models for ordinal and nominal responses are applied and the main results are discussed. multivariate analysis; multivariate logistic regression; multicategor...

  7. The potential of circulating extracellular small RNAs (smexRNA) in veterinary diagnostics-Identifying biomarker signatures by multivariate data analysis.

    Science.gov (United States)

    Melanie, Spornraft; Benedikt, Kirchner; Pfaffl, Michael W; Irmgard, Riedmaier

    2015-09-01

    Worldwide growth and performance-enhancing substances are used in cattle husbandry to increase productivity. In certain countries however e.g., in the EU, these practices are forbidden to prevent the consumers from potential health risks of substance residues in food. To maximize economic profit, 'black sheep' among farmers might circumvent the detection methods used in routine controls, which highlights the need for an innovative and reliable detection method. Transcriptomics is a promising new approach in the discovery of veterinary medicine biomarkers and also a missing puzzle piece, as up to date, metabolomics and proteomics are paramount. Due to increased stability and easy sampling, circulating extracellular small RNAs (smexRNAs) in bovine plasma were small RNA-sequenced and their potential to serve as biomarker candidates was evaluated using multivariate data analysis tools. After running the data evaluation pipeline, the proportion of miRNAs (microRNAs) and piRNAs (PIWI-interacting small non-coding RNAs) on the total sequenced reads was calculated. Additionally, top 10 signatures were compared which revealed that the readcount data sets were highly affected by the most abundant miRNA and piRNA profiles. To evaluate the discriminative power of multivariate data analyses to identify animals after veterinary drug application on the basis of smexRNAs, OPLS-DA was performed. In summary, the quality of miRNA models using all mapped reads for both treatment groups (animals treated with steroid hormones or the β-agonist clenbuterol) is predominant to those generated with combined data sets or piRNAs alone. Using multivariate projection methodologies like OPLS-DA have proven the best potential to generate discriminative miRNA models, supported by small RNA-Seq data. Based on the presented comparative OPLS-DA, miRNAs are the favorable smexRNA biomarker candidates in the research field of veterinary drug abuse.

  8. Advanced multivariate analysis to assess remediation of hydrocarbons in soils.

    Science.gov (United States)

    Lin, Deborah S; Taylor, Peter; Tibbett, Mark

    2014-10-01

    Accurate monitoring of degradation levels in soils is essential in order to understand and achieve complete degradation of petroleum hydrocarbons in contaminated soils. We aimed to develop the use of multivariate methods for the monitoring of biodegradation of diesel in soils and to determine if diesel contaminated soils could be remediated to a chemical composition similar to that of an uncontaminated soil. An incubation experiment was set up with three contrasting soil types. Each soil was exposed to diesel at varying stages of degradation and then analysed for key hydrocarbons throughout 161 days of incubation. Hydrocarbon distributions were analysed by Principal Coordinate Analysis and similar samples grouped by cluster analysis. Variation and differences between samples were determined using permutational multivariate analysis of variance. It was found that all soils followed trajectories approaching the chemical composition of the unpolluted soil. Some contaminated soils were no longer significantly different to that of uncontaminated soil after 161 days of incubation. The use of cluster analysis allows the assignment of a percentage chemical similarity of a diesel contaminated soil to an uncontaminated soil sample. This will aid in the monitoring of hydrocarbon contaminated sites and the establishment of potential endpoints for successful remediation.

  9. Determinants of nonmedical use, abuse or dependence on prescription drugs, and use of substance abuse treatment.

    Science.gov (United States)

    Bali, Vishal; Raisch, Dennis W; Moffett, Maurice L; Khan, Nasreen

    2013-01-01

    Previous studies have found a negative association between health insurance and nonmedical use of prescription drugs (NMUPD), and abuse or dependence on prescription drugs (ADPD); and mixed associations between health insurance and use of substance abuse treatment (SAT). However, effect of health insurance in the specific subgroups of population is largely unknown. To estimate the relationship between health insurance and (1) NMUPD, (2) ADPD, and (3) use of SAT services among 12-64 years old, noninstitutionalized individuals and to see if these relationships are different in different subgroups of population. This study used cross-sectional survey data from 2007 National Survey on Drug Use and Health. Bivariate and multiple logistic regression analyses were conducted. In 2007, self-reported prevalence of NMUPD was approximately 10% (N=15,509,703). In multivariate analysis, NMUPD was negatively associated with health insurance, age, race other than non-Hispanic White, education, marital status, and income ($40,000-$74,999). Past year use of tobacco and alcohol were positively associated with NMUPD. Among those with private health insurance, Hispanics and individuals with family income less than $20,000 and $40,000-$74,999 were more likely prone to NMUPD than others. High school graduates with public health insurance were less likely prone to NMUPD. Approximately, 13% of nonmedical users reported ADPD (N=2,011,229). Health insurance and age were negatively associated with ADPD. However, people who were unmarried, reported fair/poor health, and used tobacco were more likely to report ADPD. Lastly, the use of substance abuse treatment programs was approximately 73% and 76% between NMUPD and ADPD population, respectively. Health insurance was not associated with use of substance abuse treatment. Individuals with high school education were 2.6 times more likely to use substance abuse treatment than the college graduates. Additionally, no significant interaction effects

  10. Multivariate statistical analysis of precipitation chemistry in Northwestern Spain

    International Nuclear Information System (INIS)

    Prada-Sanchez, J.M.; Garcia-Jurado, I.; Gonzalez-Manteiga, W.; Fiestras-Janeiro, M.G.; Espada-Rios, M.I.; Lucas-Dominguez, T.

    1993-01-01

    149 samples of rainwater were collected in the proximity of a power station in northwestern Spain at three rainwater monitoring stations. The resulting data are analyzed using multivariate statistical techniques. Firstly, the Principal Component Analysis shows that there are three main sources of pollution in the area (a marine source, a rural source and an acid source). The impact from pollution from these sources on the immediate environment of the stations is studied using Factorial Discriminant Analysis. 8 refs., 7 figs., 11 tabs

  11. Multivariate statistical analysis of precipitation chemistry in Northwestern Spain

    Energy Technology Data Exchange (ETDEWEB)

    Prada-Sanchez, J.M.; Garcia-Jurado, I.; Gonzalez-Manteiga, W.; Fiestras-Janeiro, M.G.; Espada-Rios, M.I.; Lucas-Dominguez, T. (University of Santiago, Santiago (Spain). Faculty of Mathematics, Dept. of Statistics and Operations Research)

    1993-07-01

    149 samples of rainwater were collected in the proximity of a power station in northwestern Spain at three rainwater monitoring stations. The resulting data are analyzed using multivariate statistical techniques. Firstly, the Principal Component Analysis shows that there are three main sources of pollution in the area (a marine source, a rural source and an acid source). The impact from pollution from these sources on the immediate environment of the stations is studied using Factorial Discriminant Analysis. 8 refs., 7 figs., 11 tabs.

  12. Classification of adulterated honeys by multivariate analysis.

    Science.gov (United States)

    Amiry, Saber; Esmaiili, Mohsen; Alizadeh, Mohammad

    2017-06-01

    In this research, honey samples were adulterated with date syrup (DS) and invert sugar syrup (IS) at three concentrations (7%, 15% and 30%). 102 adulterated samples were prepared in six batches with 17 replications for each batch. For each sample, 32 parameters including color indices, rheological, physical, and chemical parameters were determined. To classify the samples, based on type and concentrations of adulterant, a multivariate analysis was applied using principal component analysis (PCA) followed by a linear discriminant analysis (LDA). Then, 21 principal components (PCs) were selected in five sets. Approximately two-thirds were identified correctly using color indices (62.75%) or rheological properties (67.65%). A power discrimination was obtained using physical properties (97.06%), and the best separations were achieved using two sets of chemical properties (set 1: lactone, diastase activity, sucrose - 100%) (set 2: free acidity, HMF, ash - 95%). Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Failure to get into substance abuse treatment.

    Science.gov (United States)

    Fisher, Dennis G; Reynolds, Grace L; D'Anna, Laura H; Hosmer, David W; Hardan-Khalil, Kholoud

    2017-02-01

    Among substance abusers in the US, the discrepancy in the number who access substance abuse treatment and the number who need treatment is sizable. This results in a major public health problem of access to treatment. The purpose of this study was to examine characteristics of Persons Who Use Drugs (PWUDs) that either hinder or facilitate access to treatment. 2646 participants were administered the Risk Behavior Assessment (RBA) and the Barratt Impulsiveness Scale. The RBA included the dependent variable which was responses to the question "During the last year, have you ever tried, but been unable, to get into a drug treatment or detox program?" In multivariate analysis, factors associated with being unable to access treatment included: Previously been in drug treatment (OR=4.51), number of days taken amphetamines in the last 30days (OR=1.18), traded sex for drugs (OR=1.53), homeless (OR=1.73), Nonplanning subscale of the Barratt Impulsiveness Scale (OR=1.19), age at interview (OR=0.91), and sexual orientation, with bisexual men and women significantly more likely than heterosexuals to have tried but been unable to get into treatment. The answers to the question on "why were you unable to get into treatment" included: No room, waiting list; not enough money, did not qualify, got appointment but no follow through, still using drugs, and went to jail before program start. As expected, findings suggest that limiting organizational and financial obstacles to treatment may go a long way in increasing drug abuse treatment accessibility to individuals in need. Additionally, our study points to the importance of developing approaches for increasing personal planning skills/reducing Nonplanning impulsivity among PWUDs when they are in treatment as a key strategy to ensure access to additional substance abuse treatment in the future. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. Multivariate reference technique for quantitative analysis of fiber-optic tissue Raman spectroscopy.

    Science.gov (United States)

    Bergholt, Mads Sylvest; Duraipandian, Shiyamala; Zheng, Wei; Huang, Zhiwei

    2013-12-03

    We report a novel method making use of multivariate reference signals of fused silica and sapphire Raman signals generated from a ball-lens fiber-optic Raman probe for quantitative analysis of in vivo tissue Raman measurements in real time. Partial least-squares (PLS) regression modeling is applied to extract the characteristic internal reference Raman signals (e.g., shoulder of the prominent fused silica boson peak (~130 cm(-1)); distinct sapphire ball-lens peaks (380, 417, 646, and 751 cm(-1))) from the ball-lens fiber-optic Raman probe for quantitative analysis of fiber-optic Raman spectroscopy. To evaluate the analytical value of this novel multivariate reference technique, a rapid Raman spectroscopy system coupled with a ball-lens fiber-optic Raman probe is used for in vivo oral tissue Raman measurements (n = 25 subjects) under 785 nm laser excitation powers ranging from 5 to 65 mW. An accurate linear relationship (R(2) = 0.981) with a root-mean-square error of cross validation (RMSECV) of 2.5 mW can be obtained for predicting the laser excitation power changes based on a leave-one-subject-out cross-validation, which is superior to the normal univariate reference method (RMSE = 6.2 mW). A root-mean-square error of prediction (RMSEP) of 2.4 mW (R(2) = 0.985) can also be achieved for laser power prediction in real time when we applied the multivariate method independently on the five new subjects (n = 166 spectra). We further apply the multivariate reference technique for quantitative analysis of gelatin tissue phantoms that gives rise to an RMSEP of ~2.0% (R(2) = 0.998) independent of laser excitation power variations. This work demonstrates that multivariate reference technique can be advantageously used to monitor and correct the variations of laser excitation power and fiber coupling efficiency in situ for standardizing the tissue Raman intensity to realize quantitative analysis of tissue Raman measurements in vivo, which is particularly appealing in

  15. The Relationship Between Sexual Abuse and Risky Sexual Behavior Among Adolescent Boys: A Meta-Analysis

    Science.gov (United States)

    Homma, Yuko; Wang, Naren; Saewyc, Elizabeth; Kishor, Nand

    2016-01-01

    Purpose Childhood and adolescent sexual abuse has been shown to lead to increased odds of sexual behaviors that lead to sexually transmitted infections and early pregnancy involvement. Research, meta-analyses, and interventions, however, have focused primarily on girls and young women who have experienced abuse, yet some adolescent boys are also sexually abused. We performed a meta-analysis of the existing studies to assess the magnitudes of the link between a history of sexual abuse and each of three risky sexual behaviors among adolescent boys in North America. Methods The three outcomes were a) unprotected sexual intercourse, b) multiple sexual partners, and c) pregnancy involvement. Weighted mean effect sizes were computed from 10 independent samples, from nine studies published between 1990 and 2011. Results Sexually abused boys were significantly more likely than non-abused boys to report all three risky sexual behaviors. Weighted mean odds ratios were 1.91 for unprotected intercourse, 2.91 for multiple sexual partners, and 4.81 for pregnancy involvement. Conclusions Our results indicate that childhood and adolescent sexual abuse can substantially Influence sexual behavior in adolescence among male survivors. To improve sexual health for all adolescents, even young men, we should strengthen sexual abuse prevention initiatives, raise awareness about male sexual abuse survivors’ existence and sexual health issues, improve sexual health promotion for abused young men, and screen all people, regardless of gender, for a history of sexual abuse. PMID:22727072

  16. Denial-of-service attack detection based on multivariate correlation analysis

    NARCIS (Netherlands)

    Tan, Zhiyuan; Jamdagni, Aruna; He, Xiangjian; Nanda, Priyadarsi; Liu, Ren Ping; Lu, Bao-Liang; Zhang, Liqing; Kwok, James

    2011-01-01

    The reliability and availability of network services are being threatened by the growing number of Denial-of-Service (DoS) attacks. Effective mechanisms for DoS attack detection are demanded. Therefore, we propose a multivariate correlation analysis approach to investigate and extract second-order

  17. Analysis of infantile subdural hematoma caused by abuse

    International Nuclear Information System (INIS)

    Park, Young-Soo; Nishio, Kenji; Fujimoto, Takatoshi; Nakase, Hiroyuki; Okuchi, Kazuo

    2010-01-01

    We report infantile subdural hematoma caused by abuse. Between January 2006 and December 2009, 10 cases of definite and highly suspicious abusive subdural hematoma in infants were treated at Nara Medical University Hospital. The mean age was 5.4 months. On CT examination, severe cerebral swelling was seen in 8 (80%) and wide spreading cerebral ischemia and atrophy in 9 (90%). Retinal hemorrhage was commonly seen in this series (90%). Subdural drainage and/or subdural-peritoneal shunt surgeries were performed in 6 cases, and intensive combined therapy of mild hypothermia and barbiturate was adapted in 7 cases. Favorable outcome was achieved in only 3 cases. In spite of aggressive treatment, clinical outcome are still bad. In our series, assailants were predominantly not father but mother. There were various and complex factors for child abuse. Cautious insight and suspicion are necessary to detect abusive injuries in infants. It is very important to endeavor to prevent recurrences of abusive injuries. (author)

  18. Hierarchical multivariate covariance analysis of metabolic connectivity.

    Science.gov (United States)

    Carbonell, Felix; Charil, Arnaud; Zijdenbos, Alex P; Evans, Alan C; Bedell, Barry J

    2014-12-01

    Conventional brain connectivity analysis is typically based on the assessment of interregional correlations. Given that correlation coefficients are derived from both covariance and variance, group differences in covariance may be obscured by differences in the variance terms. To facilitate a comprehensive assessment of connectivity, we propose a unified statistical framework that interrogates the individual terms of the correlation coefficient. We have evaluated the utility of this method for metabolic connectivity analysis using [18F]2-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. As an illustrative example of the utility of this approach, we examined metabolic connectivity in angular gyrus and precuneus seed regions of mild cognitive impairment (MCI) subjects with low and high β-amyloid burdens. This new multivariate method allowed us to identify alterations in the metabolic connectome, which would not have been detected using classic seed-based correlation analysis. Ultimately, this novel approach should be extensible to brain network analysis and broadly applicable to other imaging modalities, such as functional magnetic resonance imaging (MRI).

  19. Changes in cod muscle proteins during frozen storage revealed by proteome analysis and multivariate data analysis

    DEFF Research Database (Denmark)

    Kjærsgård, Inger Vibeke Holst; Nørrelykke, M.R.; Jessen, Flemming

    2006-01-01

    Multivariate data analysis has been combined with proteomics to enhance the recovery of information from 2-DE of cod muscle proteins during different storage conditions. Proteins were extracted according to 11 different storage conditions and samples were resolved by 2-DE. Data generated by 2-DE...... was subjected to principal component analysis (PCA) and discriminant partial least squares regression (DPLSR). Applying PCA to 2-DE data revealed the samples to form groups according to frozen storage time, whereas differences due to different storage temperatures or chilled storage in modified atmosphere...... light chain 1, 2 and 3, triose-phosphate isomerase, glyceraldehyde-3-phosphate dehydrogenase, aldolase A and two ?-actin fragments, and a nuclease diphosphate kinase B fragment to change in concentration, during frozen storage. Application of proteomics, multivariate data analysis and MS/MS to analyse...

  20. The association between recent abuse and menopausal symptom bother: results from the Data Registry on Experiences of Aging, Menopause, and Sexuality (DREAMS).

    Science.gov (United States)

    Vegunta, Suneela; Kuhle, Carol; Kling, Juliana M; Files, Julia A; Kapoor, Ekta; David, Paru S; Rullo, Jordan; Sood, Richa; Thielen, Jacqueline M; Jatoi, Aminah; Schroeder, Darrell R; Faubion, Stephanie S

    2016-05-01

    The aim of the study was to determine whether there is an association between current menopausal symptom bother and a history of abuse (physical, sexual, or emotional/verbal) in the last year. A cross-sectional survey was completed using the Data Registry on Experiences of Aging, Menopause, and Sexuality and the Menopause Health Questionnaire. Data from the Menopause Health Questionnaire were collected from 4,956 women seen consecutively for menopause consultation in the Women's Health Clinic at Mayo Clinic (Rochester, MN) from January 1, 2006 through October 7, 2014. Data from 3,740 women were included in the analysis. Menopausal symptom ratings were compared between women reporting a history of abuse (physical, sexual, or emotional/verbal) in the last year and those not using a two-sample t test. Analysis of covariance was used to assess whether abuse was associated with menopausal symptom bother after adjusting for baseline participant characteristics. Of the 3,740 women, 253 (6.8%) reported experiencing one or more forms of abuse in the last year, the majority (96%) of which was verbal/emotional abuse. Those reporting abuse in the last year had higher (P menopausal symptom bother scores. Consistent findings were obtained from multivariable analyses adjusting for all demographic and substance use characteristics. In the present study from the Data Registry on Experiences of Aging, Menopause, and Sexuality, menopausal symptom bother scores were directly associated with recent self-reported abuse.

  1. Influence of abuse on condom negotiation among Mexican-American women involved in abusive relationships.

    Science.gov (United States)

    Davila, Yolanda R

    2002-01-01

    This study explored cultural and gender perspectives of abuse on condom negotiation behaviors for AIDS prevention among Mexican-American women in abusive intimate relationships. A convenience sample of 20 abused women participated in the study. Data were collected through a demographic questionnaire and audiotaped responses to a semistructured interview guide. Content analysis using QSR NUDIST was used to analyze the verbatim transcriptions of all participant interviews. The predominant category, "He always got his way," was developed in response to the content of the verbatim transcriptions. The category was further expanded to include the self-descriptive subcategories of "He beat me," "He made me feel bad," and "He forced me." Through content analysis, a relationship between abuse by male sexual partners and condom negotiation for AIDS prevention was identified. Trustworthiness of the data collection and analysis was established through methods suggested by Lincoln and Guba.

  2. Alcohol abuse and involvement in traffic accidents in the Brazilian population, 2013.

    Science.gov (United States)

    Damacena, Giseli Nogueira; Malta, Deborah Carvalho; Boccolini, Cristiano Siqueira; Souza, Paulo Roberto Borges de; Almeida, Wanessa da Silva de; Ribeiro, Lucas Sisinno; Szwarcwald, Célia Landmann

    2016-12-01

    Abstract This article aims to analyze alcohol abuse and frequent consumption according to sociodemographic characteristics and investigate the risk of greater involvement in traffic accidents, using data from the National Health Survey (PNS), 2013, Brazil. Events investigated were alcohol abuse and frequent consumption and if the individual was involved in a traffic accident and sustained an injury in the last 12 months. We investigated both events according to sociodemographic characteristics and assessed the association among them through multivariate logistic regression. The prevalence of alcohol abuse and frequent consumption was 6.1% for the population aged 18 years and over, 8.9% among men and 3.6% among women. The prevalence of involvement in traffic accidents was 3.1% in the general population and 6.1% among those who reported alcohol abuse. After controlling for sociodemographic factors, alcohol abuse and frequent consumption was significantly associated with traffic accidents. Considering a higher risk of involvement in traffic accidents among individuals who reported alcohol abuse and frequent consumption, monitoring blood alcohol concentration of drivers becomes a strategic possibility of intervention.

  3. Child Sexual Abuse and Adolescent Prostitution: A Comparative Analysis.

    Science.gov (United States)

    Seng, Magnus J.

    1989-01-01

    Explored relationship between sexual abuse and adolescent prostitution by comparing 70 sexually abused children with 35 prostitution-involved children on 22 variables. Findings suggest that relationship is not direct, but involves runaway behavior as intervening variable. Concludes that it is not so much sexual abuse that leads to prostitution, as…

  4. Multivariate statistical analysis of major and trace element data for ...

    African Journals Online (AJOL)

    Multivariate statistical analysis of major and trace element data for niobium exploration in the peralkaline granites of the anorogenic ring-complex province of Nigeria. PO Ogunleye, EC Ike, I Garba. Abstract. No Abstract Available Journal of Mining and Geology Vol.40(2) 2004: 107-117. Full Text: EMAIL FULL TEXT EMAIL ...

  5. Young female survivors of sexual abuse in Malaysia and depression: what factors are associated with better outcome?

    Science.gov (United States)

    Wahab, Suzaily; Tan, Susan Mooi Koon; Marimuthu, Sheila; Razali, Rosdinom; Muhamad, Nor Asiah

    2013-04-01

    Research in the field of child sexual abuse is lacking in Malaysia. The aims of this study are to identify the association between sociodemographic factors and depression among sexually abused females. A cross-sectional study was conducted among 51 young sexually abused female attendees at the Suspected Child Abuse and Neglect (SCAN) clinic of Hospital Kuala Lumpur, a tertiary referral centre. Upon obtaining informed consent from participant and guardian, participants were screened for depression using the Strength and Difficulty Questionnaire (SDQ) and interviewed using the Schedule for Affective Disorders and Schizophrenia for School Aged Children (K-SADS) for depressive disorders and K-SADS-PL (Present and Lifetime version) to diagnose depression. Sociodemographic data and details of the abuse were also obtained. Of the survivors, 33.3% were depressed. Univariate analysis showed significant association between legal guardianship, living environment and duration of abuse with depression, however, multivariate analyses later showed that the sole predictor for depression was living environment. Respondents who lived with others were 23-times more likely to be depressed as compared to those who lived with their parents. Depression is common among young survivors of sexual abuse. Those who lived with parents appeared to have a better outcome. Thus, further research to explore possible protective factors associated with living with parents is vital. This will help clinicians develop strategies to empower parents and families help these young survivors get back on track with their lives despite the abuse. Copyright © 2013 Wiley Publishing Asia Pty Ltd.

  6. Multivariate Analysis of Multiple Datasets: a Practical Guide for Chemical Ecology.

    Science.gov (United States)

    Hervé, Maxime R; Nicolè, Florence; Lê Cao, Kim-Anh

    2018-03-01

    Chemical ecology has strong links with metabolomics, the large-scale study of all metabolites detectable in a biological sample. Consequently, chemical ecologists are often challenged by the statistical analyses of such large datasets. This holds especially true when the purpose is to integrate multiple datasets to obtain a holistic view and a better understanding of a biological system under study. The present article provides a comprehensive resource to analyze such complex datasets using multivariate methods. It starts from the necessary pre-treatment of data including data transformations and distance calculations, to the application of both gold standard and novel multivariate methods for the integration of different omics data. We illustrate the process of analysis along with detailed results interpretations for six issues representative of the different types of biological questions encountered by chemical ecologists. We provide the necessary knowledge and tools with reproducible R codes and chemical-ecological datasets to practice and teach multivariate methods.

  7. Interpretability of Multivariate Brain Maps in Linear Brain Decoding: Definition, and Heuristic Quantification in Multivariate Analysis of MEG Time-Locked Effects.

    Science.gov (United States)

    Kia, Seyed Mostafa; Vega Pons, Sandro; Weisz, Nathan; Passerini, Andrea

    2016-01-01

    Brain decoding is a popular multivariate approach for hypothesis testing in neuroimaging. Linear classifiers are widely employed in the brain decoding paradigm to discriminate among experimental conditions. Then, the derived linear weights are visualized in the form of multivariate brain maps to further study spatio-temporal patterns of underlying neural activities. It is well known that the brain maps derived from weights of linear classifiers are hard to interpret because of high correlations between predictors, low signal to noise ratios, and the high dimensionality of neuroimaging data. Therefore, improving the interpretability of brain decoding approaches is of primary interest in many neuroimaging studies. Despite extensive studies of this type, at present, there is no formal definition for interpretability of multivariate brain maps. As a consequence, there is no quantitative measure for evaluating the interpretability of different brain decoding methods. In this paper, first, we present a theoretical definition of interpretability in brain decoding; we show that the interpretability of multivariate brain maps can be decomposed into their reproducibility and representativeness. Second, as an application of the proposed definition, we exemplify a heuristic for approximating the interpretability in multivariate analysis of evoked magnetoencephalography (MEG) responses. Third, we propose to combine the approximated interpretability and the generalization performance of the brain decoding into a new multi-objective criterion for model selection. Our results, for the simulated and real MEG data, show that optimizing the hyper-parameters of the regularized linear classifier based on the proposed criterion results in more informative multivariate brain maps. More importantly, the presented definition provides the theoretical background for quantitative evaluation of interpretability, and hence, facilitates the development of more effective brain decoding algorithms

  8. Elder Abuse in the Iberian Peninsula and Bolivia: A Multicountry Comparative Study.

    Science.gov (United States)

    Carmona-Torres, Juan Manuel; Carvalhal, Rosa; Gálvez-Rioja, Ruth Mary; Ruiz-Gandara, África; Goergen, Thomas; Rodríguez-Borrego, Mª Aurora

    2017-06-01

    The objective of this study is to determine the prevalence of abuse of vulnerable older persons in the family and community environment in the following regions-Spain (Andalusia-Córdoba), Portugal (Azores), and Bolivia (Santa Cruz de la Sierra)-and to identify risk factors and delineate a profile of abused older persons. For this, a descriptive cross-sectional study was conducted. The sample consisted of people in the age group 65 years plus living in the catchment areas of health centers. The following were used as instruments to collect data: the medical record of the patients of relevant health centers, Mini-Mental State Examination (MMSE), daily activities autonomy test, adaptability, partnership, growth, affection, and resolve (APGAR) familiar test, The Elder Abuse Suspicion Index (EASI) and the Social Work Evaluation Form. Multivariable logistic regression was performed to identify factors associated with abuse. Suspected abuse was identified in 6.9% of the elderly who participated in the study in Spain, 39% in Bolivia, and 24.5% in Azores. In all areas, studied psychological abuse was the most common type of abuse. In conclusion, although the prevalence of abuse to older people in the family and community environment differs in the areas studied, it is present in all countries and the data are comparable with other developing and European countries. The profile of the abused older persons appears to be similar in all countries.

  9. Cardiovascular reactivity patterns and pathways to hypertension: a multivariate cluster analysis

    NARCIS (Netherlands)

    Brindle, R. C.; Ginty, A. T.; Jones, A.; Phillips, A. C.; Roseboom, T. J.; Carroll, D.; Painter, R. C.; de Rooij, S. R.

    2016-01-01

    Substantial evidence links exaggerated mental stress induced blood pressure reactivity to future hypertension, but the results for heart rate reactivity are less clear. For this reason multivariate cluster analysis was carried out to examine the relationship between heart rate and blood pressure

  10. A plan analysis of pedophile sexual abusers' motivations for treatment: a qualitative pilot study.

    Science.gov (United States)

    Drapeau, Martin; Körner, Annett; Granger, Luc; Brunet, Louis; Caspar, Franz

    2005-06-01

    Many authors have suggested adapting treatment programs to the specific needs of sexual abusers. However, little research has been conducted to understand what these patients seek in therapy or what elements play a key role in keeping them in treatment. In this pilot study, fifteen (N=15) pedophile sexual abusers from La Macaza clinic for sexual abusers were interviewed. Plan analysis was used to investigate the most prevalent components involved in staying in or leaving therapy. Results suggest that many components involved in the plans leading to doing and to avoiding treatment were similar. Differences were found in regards to the outcome of confrontations with the therapists, a tendency to isolate and overcomply, guilt related to the abuse, a need for a stable environment, and a need to be accepted. These results are discussed along with possible ways to improve the patients' involvement in treatment.

  11. Multivariate analysis between air pollutants and meteorological variables in Seoul

    International Nuclear Information System (INIS)

    Kim, J.; Lim, J.

    2005-01-01

    Multivariate analysis was conducted to analyze the relationship between air pollutants and meteorological variables measured in Seoul from January 1 to December 31, 1999. The first principal component showed the contrast effect between O 3 and the other pollutants. The second principal component showed the contrast effect between CO, SO 2 , NO 2 , and O 3 , PM 10 , TSP. Based on the cluster analysis, three clusters represented different air pollution levels, seasonal characteristics of air pollutants, and meteorological conditions. Discriminant analysis with air environment index (AEI) was carried out to develop an air pollution index function. (orig.)

  12. Abuse

    Science.gov (United States)

    ... Kids For Teens For Parents & Teachers Resolving Family Conflicts The Holidays and Alzheimer's Glossary Virtual Library Online ... Types of abuse Signs of abuse Reporting abuse Types of abuse Abuse comes in many forms: Physical: ...

  13. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e

  14. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    International Nuclear Information System (INIS)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-01-01

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e

  15. Multivariate analysis of data in sensory science

    CERN Document Server

    Naes, T; Risvik, E

    1996-01-01

    The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

  16. Clinical patch test data evaluated by multivariate analysis. Danish Contact Dermatitis Group

    DEFF Research Database (Denmark)

    Christophersen, J; Menné, T; Tanghøj, P

    1989-01-01

    The aim of the present study was to evaluate the influence of individual explanatory factors, such as sex, age, atopy, test time and presence of diseased skin, on clinical patch test results, by application of multivariate statistical analysis. The study population was 2166 consecutive patients...... patch tested with the standard series of the International Contact Dermatitis Research Group (ICDRG) by members of the Danish Contact Dermatitis Group (DCDG) over a period of 6 months. For the 8 test allergens most often found positive (nickel, fragrance-mix, cobalt, chromate, balsam of Peru, carba......-mix, colophony, and formaldehyde), one or more individual factors were of significance for the risk of being sensitized, except for chromate and formaldehyde. It is concluded that patch test results can be compared only after stratification of the material or by multivariate analysis....

  17. Association of abuse history with symptom severity and quality of life in patients with fibromyalgia.

    Science.gov (United States)

    Jiao, Juan; Vincent, Ann; Cha, Stephen S; Luedtke, Connie A; Oh, Terry H

    2015-03-01

    A high prevalence of abuse has been reported in patients with fibromyalgia. We aimed to examine the association between self-reported abuse history and symptom severity and quality of life (QOL) in 962 patients with fibromyalgia. All patients completed the Fibromyalgia Impact Questionnaire (FIQ) and the Short Form 36 health survey (SF-36). Multivariate regression analyses were performed. In total, 289 patients (30%) reported a history of abuse. Of those who specified abuse types, 161 patients (59%) reported more than 1 type of abuse (36% emotional, 32% physical, 25% sexual, and 7% verbal). Patients in the abuse group were younger and more likely to be female, unemployed, unmarried, and current smokers compared with patients who reported no abuse. After adjusting for these differences, abuse history was associated with worse symptoms, as indicated by a higher FIQ total score (P history was associated with worse QOL, with lower SF-36 scores in all domains except the physical component summary. In conclusion, abuse history in patients with fibromyalgia was associated with worse symptoms and QOL compared with those patients without abuse history. Future studies are needed to assess whether additional tailored interventions as part of fibromyalgia treatment are helpful for patients with a history of abuse.

  18. Decomposition of multivariate phenotypic means in multigroup genetic covarinace structure analysis

    NARCIS (Netherlands)

    Dolan, C.V.; Molenaar, P.C.M.; Boomsma, D.I.

    1992-01-01

    Uses D. Sorbom's (1974) method to study differences in latent means in multivariate twin data. By restricting the analysis to a comparison between groups, the results pertain only to the additive contributions of common genetic and environmental factors to the deviation of the group means from what

  19. Transportation and retention in outpatient drug abuse treatment programs.

    Science.gov (United States)

    Friedmann, P D; Lemon, S C; Stein, M D

    2001-09-01

    To determine whether certain types of transportation assistance improve outpatient treatment retention beyond thresholds shown to have therapeutic benefits, we analyzed data from 1,144 clients in 22 outpatient methadone maintenance (OMM) programs and 2,031 clients in 22 outpatient drug-free (ODF) programs in the Drug Abuse Treatment Outcomes Study (DATOS), a national, 12-month, longitudinal study of drug abuse treatment programs. Directors' surveys provided information about provision of car, van, or contracted transportation services or individual vouchers/payment for public transportation. Chart-abstracted treatment retention was dichotomized at 365 days for OMM and 90 days for ODF. Separate multivariate hierarchical linear models revealed that provision of car, van, or contracted transportation services improved treatment retention beyond these thresholds for both OMM and ODF, but individual vouchers or payment for public transportation did not. Future research should validate whether car, van, or contracted transportation services improve retention and other treatment outcomes in outpatient drug abuse treatment.

  20. Prevalence of childhood sexual abuse and timing of disclosure in a representative sample of adults from Quebec.

    Science.gov (United States)

    Hébert, Martine; Tourigny, Marc; Cyr, Mireille; McDuff, Pierre; Joly, Jacques

    2009-09-01

    Our study sought to explore patterns of disclosure of child sexual abuse (CSA) in a sample of adult men and women. A telephone survey conducted with a representative sample of adults (n = 804) from Quebec assessed the prevalence of CSA and disclosure patterns. Analyses were carried out to determine whether disclosure groups differed in terms of psychological distress and symptoms of posttraumatic stress, and a logistic regression was used to examine factors associated with prompt disclosure. Prevalence of CSA was 22.1% for women and 9.7% for men. About 1 survivor out of 5 had never disclosed the abuse, with men more likely not to have told anyone, than women. Only 21.2% of adults reported prompt disclosure (within a month of the first abusive event), while 57.5% delayed disclosure (more than 5 years after the first episode). CSA victims who never disclosed the abuse and those who delayed disclosure were more likely to obtain scores of psychological distress and posttraumatic stress achieving clinical levels, compared with adults without a history of CSA. In the multivariate analysis, experiencing CSA involving a perpetrator outside the immediate family and being female were factors independently associated with prompt disclosure. A significant number of adult women and men reported experiencing CSA, and most victims attested to either not disclosing or significantly delaying abuse disclosure.

  1. A Multivariate Examination of the Child-Abuse Potential of Parents with Children Aged 0-6

    Science.gov (United States)

    Cetin, Zeynep; Ozozen Danaci, Miray

    2016-01-01

    Problem Statement: Child abuse, defined by the World Health Organization as "intentional or unintentional behavior by adults, society, or a country with negative consequences for the health and physical development of the child," is a social problem frequently encountered in all cultures and societies. It is need to this study because of…

  2. Women who abuse prescription opioids: findings from the Addiction Severity Index-Multimedia Version Connect prescription opioid database.

    Science.gov (United States)

    Green, Traci C; Grimes Serrano, Jill M; Licari, Andrea; Budman, Simon H; Butler, Stephen F

    2009-07-01

    Evidence suggests gender differences in abuse of prescription opioids. This study aimed to describe characteristics of women who abuse prescription opioids in a treatment-seeking sample and to contrast gender differences among prescription opioid abusers. Data collected November 2005 to April 2008 derived from the Addiction Severity Index Multimedia Version Connect (ASI-MV Connect) database. Bivariate and multivariable logistic regression examined correlates of prescription opioid abuse stratified by gender. 29,906 assessments from 220 treatment centers were included, of which 12.8% (N=3821) reported past month prescription opioid abuse. Women were more likely than men to report use of any prescription opioid (29.8% females vs. 21.1% males, phistory of drug overdose. Men-specific correlates were age screen and identify those at highest risk of prescription opioid abuse. Prevention and intervention efforts with a gender-specific approach are warranted.

  3. The Association Between Childhood Abuse and Elder Abuse Among Chinese Adult Children in the United States.

    Science.gov (United States)

    Dong, XinQi; Li, Ge; Simon, Melissa A

    2017-07-01

    The previous researchers have postulated that an abused child may abuse his or her abuser parent when the parent is getting old, also known as the intergenerational transmission of violence. However, few studies use data to support this model, and it has yet to be examined in the U.S. Chinese community. This study aims to examine the association between childhood abuse and elder abuse reported by Chinese adult children in the United States. Guided by a community-based participatory research approach, 548 Chinese adult children aged 21 years and older participated in this study. Childhood abuse was assessed by four-item Hurt-Insult-Threaten-Scream (HITS) scale. Elder abuse was assessed by a 10-item instrument derived from the Caregiver Abuse Screen (CASE). Logistic regression analysis was performed. Childhood abuse was associated with caregiver abuse screen results (odds ratio = 1.92, 95% confidence interval = 1.24-2.95). Being physically hurt (r = .13, p abuse screen results. This study suggests that childhood abuse is associated with increased risk of elder abuse among Chinese adult children in the United States. Longitudinal research should be conducted to explore the mechanisms through which childhood abuse and its subtypes links with elder abuse. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  4. Multivariate data analysis approach to understand magnetic properties of perovskite manganese oxides

    International Nuclear Information System (INIS)

    Imamura, N.; Mizoguchi, T.; Yamauchi, H.; Karppinen, M.

    2008-01-01

    Here we apply statistical multivariate data analysis techniques to obtain some insights into the complex structure-property relations in antiferromagnetic (AFM) and ferromagnetic (FM) manganese perovskite systems, AMnO 3 . The 131 samples included in the present analyses are described by 21 crystal-structure or crystal-chemical (CS/CC) parameters. Principal component analysis (PCA), carried out separately for the AFM and FM compounds, is used to model and evaluate the various relationships among the magnetic properties and the various CS/CC parameters. Moreover, for the AFM compounds, PLS (partial least squares projections to latent structures) analysis is performed so as to predict the magnitude of the Neel temperature on the bases of the CS/CC parameters. Finally, so-called PLS-DA (PLS discriminant analysis) method is employed to find out the most influential/characteristic CS/CC parameters that differentiate the two classes of compounds from each other. - Graphical abstract: Statistical multivariate data analysis techniques are applied to detect structure-property relations in antiferromagnetic (AFM) and ferromagnetic (FM) manganese perovskites. For AFM compounds, partial least squares projections to latent structures analysis predict the magnitude of the Neel temperature on the bases of structural parameters only. Moreover, AFM and FM compounds are well separated by means of so-called partial least squares discriminant analysis method

  5. Framing Child Sexual Abuse: A Longitudinal Content Analysis of Newspaper and Television Coverage, 2002-2012.

    Science.gov (United States)

    Weatherred, Jane Long

    2017-01-01

    The way in which the news media frame child sexual abuse can influence public perception. This content analysis of the child sexual abuse coverage of eight national news organizations in the United States from 2002 to 2012 includes the two dominant events of the Catholic Church and Pennsylvania State University child sexual abuse scandals. Census and systematic stratified sampling techniques were applied to articles obtained from the Lexis/Nexis Academic database, resulting in a sample of 503 articles. Intercoder reliability was ensured by double coding a randomly selected sample. Study findings indicate a shift in the attribution of responsibility of child sexual abuse among news organizations over the past decade from an individual-level problem with individual-level solutions to a societal-level problem with institutional culpability. Nevertheless, individual-level solutions continue to be framed as the best possible solution.

  6. Identification of Sexually Abused Female Adolescents at Risk for Suicidal Ideations: A Classification and Regression Tree Analysis

    Science.gov (United States)

    Brabant, Marie-Eve; Hebert, Martine; Chagnon, Francois

    2013-01-01

    This study explored the clinical profiles of 77 female teenager survivors of sexual abuse and examined the association of abuse-related and personal variables with suicidal ideations. Analyses revealed that 64% of participants experienced suicidal ideations. Findings from classification and regression tree analysis indicated that depression,…

  7. Identification of multivariate models for noise analysis of nuclear plant

    International Nuclear Information System (INIS)

    Zwingelstein, G.C.; Upadhyaya, B.R.

    1979-01-01

    During the normal operation of a pressurized water reactor, neutron noise analysis with multivariate autoregressive procedures in a valuable diagnostic tool to extract dynamic characteristics for incipient failure detection. The first part of the paper will describe in details the equations for estimating the multivariate autoregressive model matrices and the structure of various matrices. The matrices are estimated by solving a set of matrix operations, called Yule-Walker equations. The selection of optimal model order will also be discussed. Once the optimal parameter set is obtained, simple and fast calculations are used to determine the auto power spectral density, cross spectra, coherence function, phase. In addition the spectra may be decomposed into components being contributed from different noise sources. An application using neutron flux data collected on a nuclear plant will illustrate the efficiency of the method

  8. Handbook of univariate and multivariate data analysis with IBM SPSS

    CERN Document Server

    Ho, Robert

    2013-01-01

    Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows.New to the Second EditionThree new chapters on multiple discriminant analysis, logistic regression, and canonical correlationNew section on how to deal with missing dataCoverage of te

  9. A kernel version of multivariate alteration detection

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg; Vestergaard, Jacob Schack

    2013-01-01

    Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations.......Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations....

  10. Child physical and sexual abuse: a comprehensive look at alcohol consumption patterns, consequences, and dependence from the National Alcohol Survey.

    Science.gov (United States)

    Lown, E Anne; Nayak, Madhabika B; Korcha, Rachael A; Greenfield, Thomas K

    2011-02-01

    Previous research has documented a relationship between child sexual abuse and alcohol dependence. This paper extends that work by providing a comprehensive description of past year and lifetime alcohol consumption patterns, consequences, and dependence among women reporting either physical and sexual abuse in a national sample. This study used survey data from 3,680 women who participated in the 2005 U.S. National Alcohol Survey. Information on physical and sexual child abuse and its characteristics were assessed in relation to 8 past year and lifetime alcohol consumption measures. Child physical or sexual abuse was significantly associated with past year and lifetime alcohol consumption measures. In multivariate analyses, controlling for age, marital status, employment status, education, ethnicity, and parental alcoholism or problem drinking, women reporting child sexual abuse vs. no abuse were more likely to report past year heavy episodic drinking (OR(adj) = 1.7; 95% CI 1.0 to 2.9), alcohol dependence (OR(adj) = 7.2; 95% CI 3.2 to 16.5), and alcohol consequences (OR(adj) = 3.6; 95% CI 1.8 to 7.3). Sexual abuse (vs. no abuse) was associated with a greater number of past year drinks (124 vs. 74 drinks, respectively, p = 0.002). Sexual child abuse was also associated with lifetime alcohol-related consequences (OR(adj) = 3.5; 95% CI 2.6 to 4.8) and dependence (OR(adj) = 3.7; 95% CI 2.6 to 5.3). Physical child abuse was associated with 4 of 8 alcohol measures in multivariate models. Both physical and sexual child abuse were associated with getting into fights, health, legal, work, and family alcohol-related consequences. Alcohol-related consequences and dependence were more common for women reporting sexual abuse compared to physical abuse, 2 or more physical abuse perpetrators, nonparental and nonfamily physical abuse perpetrators, and women reporting injury related to the abuse. Both child physical and sexual abuse were associated with many alcohol outcomes in

  11. Hair analysis to monitor abuse of analgesic combinations containing butalbital and propyphenazone.

    Science.gov (United States)

    Ferrari, Anna; Tiraferri, Ilaria; Palazzoli, Federica; Verri, Patrizia; Vandelli, Daniele; Marchesi, Filippo; Ciccarese, Michela; Licata, Manuela

    2015-11-10

    Butalbital, a barbiturate, is present in analgesic combinations used by headache sufferers. Overuse/abuse of these combinations may cause dependence, chronic migraine, and medication-overuse headache (MOH). MOH is difficult to manage: it improves interrupting analgesic overuse, but requires monitoring, because relapses are frequent. A gas chromatography-mass spectrometry (GC-MS) method for hair analysis has been developed and validated to document abuse of an analgesic combination containing butalbital and propyphenazone by a patient with MOH. For over ten years the patient managed her headache using eight suppositories/day of an analgesic combination containing butalbital 150mg, caffeine 75mg, and propyphenazone 375mg per suppository. An outpatient detoxification treatment was carried out. After three weeks, the patient reduced the consumption to one suppository/day. At the first control visit, after three months from the beginning of detoxification, the patient increased the use of the combination to four suppositories/day and at the second control visit, after seven months from the beginning of detoxification, she was back to eight suppositories/day. At the two control visits, a hair sample was taken for determination of butalbital and propyphenazone. Moreover blood and urine samples for determination of butalbital were drawn at the beginning of detoxification treatment and at the two control visits. With the segmental analysis of two hair samples the medication history of ten months could be estimated. In the first hair sample, collected at the first control visit, in the distal segment, butalbital and propyphenazone concentrations were, respectively, 17.5ng/mg and 56.0ng/mg, confirming the prolonged abuse; in the proximal segment, concurrently with the detoxification treatment, butalbital and propyphenazone concentrations had reduced respectively to 5.45ng/mg and 11.1ng/mg. The second hair sample, collected at the second control visit, proved the fair course

  12. Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: A critical review

    International Nuclear Information System (INIS)

    Hou, Deyi; O'Connor, David; Nathanail, Paul; Tian, Li; Ma, Yan

    2017-01-01

    Heavy metal soil contamination is associated with potential toxicity to humans or ecotoxicity. Scholars have increasingly used a combination of geographical information science (GIS) with geostatistical and multivariate statistical analysis techniques to examine the spatial distribution of heavy metals in soils at a regional scale. A review of such studies showed that most soil sampling programs were based on grid patterns and composite sampling methodologies. Many programs intended to characterize various soil types and land use types. The most often used sampling depth intervals were 0–0.10 m, or 0–0.20 m, below surface; and the sampling densities used ranged from 0.0004 to 6.1 samples per km 2 , with a median of 0.4 samples per km 2 . The most widely used spatial interpolators were inverse distance weighted interpolation and ordinary kriging; and the most often used multivariate statistical analysis techniques were principal component analysis and cluster analysis. The review also identified several determining and correlating factors in heavy metal distribution in soils, including soil type, soil pH, soil organic matter, land use type, Fe, Al, and heavy metal concentrations. The major natural and anthropogenic sources of heavy metals were found to derive from lithogenic origin, roadway and transportation, atmospheric deposition, wastewater and runoff from industrial and mining facilities, fertilizer application, livestock manure, and sewage sludge. This review argues that the full potential of integrated GIS and multivariate statistical analysis for assessing heavy metal distribution in soils on a regional scale has not yet been fully realized. It is proposed that future research be conducted to map multivariate results in GIS to pinpoint specific anthropogenic sources, to analyze temporal trends in addition to spatial patterns, to optimize modeling parameters, and to expand the use of different multivariate analysis tools beyond principal component

  13. Multivariate statistical methods a first course

    CERN Document Server

    Marcoulides, George A

    2014-01-01

    Multivariate statistics refer to an assortment of statistical methods that have been developed to handle situations in which multiple variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical analysis. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is poin

  14. Analysis of elder abuse statutes across the United States, 2011-2012.

    Science.gov (United States)

    Jirik, Stacey; Sanders, Sara

    2014-01-01

    The purpose of this article is to describe the state elder abuse statutes in the United States and Washington DC during 2011-2012. The last review of elder abuse statutes occurred in 2001; thus, a reexamination is warranted given the increased awareness of elder abuse at the state and national level and the growing number of older adults in the United States. This descriptive study analyzed the following components of elder or dependent abuse statutes: definitions, reporting requirements, training, and consequences for failure to report. It was determined that differences remain in how states respond to elder abuse at the community-based level.

  15. An Introduction to Applied Multivariate Analysis

    CERN Document Server

    Raykov, Tenko

    2008-01-01

    Focuses on the core multivariate statistics topics which are of fundamental relevance for its understanding. This book emphasis on the topics that are critical to those in the behavioral, social, and educational sciences.

  16. Multivariate time series analysis with R and financial applications

    CERN Document Server

    Tsay, Ruey S

    2013-01-01

    Since the publication of his first book, Analysis of Financial Time Series, Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA modeling and, hence, eases comprehension. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-worl

  17. POSITIVE AND NEGATIVE EFFECTS ANALYSIS IN ABUSE OF DOMINANCE

    Directory of Open Access Journals (Sweden)

    Mihai MĂRGINEAN

    2017-12-01

    Full Text Available Abuse of a dominant position is a threat to the functioning of the free market. This is the reason why we have proposed to highlight the impact of this particular anti-competitive practice in the European Union area. The aim of this paper is to present, from a theoretical and practical approach, the implications and the effects of this type of behavior and also to highlight the main actors in this process. In order to achieve these goals, we will use the content analysis to compress the effects of the abuse of dominant position in two categories: positive and negative effects. The historical method to emphasize the historical origins of the concepts and institutions involved. The comparative method will be used to nominate specific features, concepts or institutions that we will analyze and also it will help us to analyze the evolution that have occurred over time in terms of their development and to highlight certain advantages or disadvantages in terms of choice of competition policy on the abuse of a dominant position. In this paper we will notice that both the companies and the market itself are facing with companies that use anti-competitive since 1900. These kind of practices are harmful both for competition and for consumers, so that should not be allowed to expand. In this context, the European Commission imposed a set of rules that all operators must comply in order to protect, maintain and stimulate competition in the Single Market and to promote fair competition.

  18. Testing Mean Differences among Groups: Multivariate and Repeated Measures Analysis with Minimal Assumptions.

    Science.gov (United States)

    Bathke, Arne C; Friedrich, Sarah; Pauly, Markus; Konietschke, Frank; Staffen, Wolfgang; Strobl, Nicolas; Höller, Yvonne

    2018-03-22

    To date, there is a lack of satisfactory inferential techniques for the analysis of multivariate data in factorial designs, when only minimal assumptions on the data can be made. Presently available methods are limited to very particular study designs or assume either multivariate normality or equal covariance matrices across groups, or they do not allow for an assessment of the interaction effects across within-subjects and between-subjects variables. We propose and methodologically validate a parametric bootstrap approach that does not suffer from any of the above limitations, and thus provides a rather general and comprehensive methodological route to inference for multivariate and repeated measures data. As an example application, we consider data from two different Alzheimer's disease (AD) examination modalities that may be used for precise and early diagnosis, namely, single-photon emission computed tomography (SPECT) and electroencephalogram (EEG). These data violate the assumptions of classical multivariate methods, and indeed classical methods would not have yielded the same conclusions with regards to some of the factors involved.

  19. Estimation of failure criteria in multivariate sensory shelf life testing using survival analysis.

    Science.gov (United States)

    Giménez, Ana; Gagliardi, Andrés; Ares, Gastón

    2017-09-01

    For most food products, shelf life is determined by changes in their sensory characteristics. A predetermined increase or decrease in the intensity of a sensory characteristic has frequently been used to signal that a product has reached the end of its shelf life. Considering all attributes change simultaneously, the concept of multivariate shelf life allows a single measurement of deterioration that takes into account all these sensory changes at a certain storage time. The aim of the present work was to apply survival analysis to estimate failure criteria in multivariate sensory shelf life testing using two case studies, hamburger buns and orange juice, by modelling the relationship between consumers' rejection of the product and the deterioration index estimated using PCA. In both studies, a panel of 13 trained assessors evaluated the samples using descriptive analysis whereas a panel of 100 consumers answered a "yes" or "no" question regarding intention to buy or consume the product. PC1 explained the great majority of the variance, indicating all sensory characteristics evolved similarly with storage time. Thus, PC1 could be regarded as index of sensory deterioration and a single failure criterion could be estimated through survival analysis for 25 and 50% consumers' rejection. The proposed approach based on multivariate shelf life testing may increase the accuracy of shelf life estimations. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Resent state and multivariate analysis of a few juniper forests of baluchistan, pakistan

    International Nuclear Information System (INIS)

    Ahmed, M.; Siddiqui, M.F.

    2015-01-01

    Quantitative multivariate investigations were carried out to explore various forms of Juniper trees resulting human disturbances and natural phenomenon. Thirty stands were sampled by point centered quarter method and data were analysed using Wards cluster analysis and Bray-Curtis ordination. On the basis of multivariate analysis eight various forms i.e. healthy, unhealthy, over mature, disturbed, dieback, standing dead, logs and cut stem were recognized. Structural attributes were computed. Highest numbers (130-133 stem ha-1) of logs were recorded from Cautair and Khunk forests. Highest density ha-1 (229 ha-1) of healthy plants was estimated from Tangi Top area while lowest number (24 ha-1) of healthy plants was found from Saraghara area. Multivariate analysis showed five groups in cluster and ordination diagrams. These groups are characterized on the basis of healthy, over mature, disturbed and logged trees of Juniper. Higher number (115, 96, 84, 80 ha-1) of disturbed trees were distributed at Speena Sukher, Srag Kazi, Prang Shella and Tangi Top respectively. Overall density does not show any significant relation with basal area m2 ha-1, degree of slopes and the elevation of the sampling stands. Present study show that each and every Juniper stands are highly disturbed mostly due to human influence, therefore prompt conservational steps should be taken to safe these forests. (author)

  1. [Child abuse in the family].

    Science.gov (United States)

    De Almeida, Helena Nunes; André, Isabel Margarida; De Almeida, Ana Nunes

    2002-01-01

    The objective of this study is to carry out a current survey of the situation of child abuse in the family. It is based on a national survey conducted in 1996, which was addressed to childcare professionals (in the areas of health, education and social services). This survey was based, on the one hand, on a wide-ranging definition of child abuse, including within it not just active forms of physical and psychic violence against the child, but also forms of (both material and affective) privation, omission or negligence which affect the child's growth and development. On the other hand, this study also favoured a contextual approach to child abuse. 1,126 institutions in Portugal were contacted and 755 valid survey responses were received. This report outlines some of the results obtained, namely by providing a description of the sample of the 755 child abuse victims, the respective social and family contexts to which they and the aggressors belong, as well as the types of abuse which have been committed against them; and a typology of forms of abuse and negligence, describing not just the internal aspects that make up child abuse directly, but also its relationship to the child's social and family contexts of belonging. The typology was derived from the statistical handling of the data gathered (factorial analysis of multiple matches, followed by a hierarchical analysis into clusters). A number of key concepts are summarised in the conclusion. Children of all age groups and of both sexes, and from all types of families and social backgrounds, regardless of their place in the phratry, are subject to abuse in Portugal. But different types of abuse and negligence are associated with the contexts to which the children and their families belong. Healthcare professionals are irreplaceable when it comes to detecting the wide variety of types of child abuse, and are an essential look-out post for two types of abuse which often slip through the net of other professionals

  2. [Impact of childhood sexual abuse on the sexual and affective relationships of adult women].

    Science.gov (United States)

    López, Sílvia; Faro, Concepció; Lopetegui, Lourdes; Pujol-Ribera, Enriqueta; Monteagudo, Mònica; Cobo, Jesús; Fernández, María Isabel

    To analyse perceived sexual satisfaction, sexual dysfunction, satisfaction with affective relationships and confidence and communication in existing relationships, related to a past history of childhood sexual abuse (CSA) and type suffered, among women treated as part of the Catalonian Sexual and Reproductive Health Care Programme (PASSIR). Multicentric, descriptive, cross-sectional study. A total of 1,013 women over the age of 18 years, who underwent psychological therapy at any of the 24 PASSIR centres, were enrolled. A structured, anonymised, self-administered Sex History Questionnaire adapted from Wyatt (1985) & Dubé et al. (2005), and the Female Sexual Function Index (Rosen, 2000), were used. Statistical analysis was descriptive, bivariate and multivariate. Women who suffered childhood sexual abuse had a significantly higher prevalence of sexual dysfunction, with lower perceived sexual satisfaction. CSA with penetration or attempted penetration was associated with greater arousal difficulties and greater rejection. Women who experienced CSA were less confident and experienced greater communication difficulties with their partner. It is necessary to identify potential childhood sexual abuse among women who seek therapy due to relationship problems. It is also necessary to continue research into protective factors and therapeutic interventions to alleviate the consequences of CSA in adult life. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

  3. Substance abuse and psychosocial adaptation to physical disability: analysis of the literature and future directions.

    Science.gov (United States)

    Smedema, Susan Miller; Ebener, Deborah

    2010-01-01

    To analyse the current state of the literature with respect to substance abuse and psychosocial adjustment in persons with disabilities. The two primary databases containing the literature related to rehabilitation and disability issues (PsychINFO and MedLine) were searched to identify articles addressing the psychosocial impact of substance abuse in persons with disabilities. Eleven empirical articles specifically measuring the strength of the relationship between substance use and psychosocial outcomes in persons with disabilities were selected for analysis. Of the studies identified, five were related to spinal cord injury, three were related to traumatic brain injury, one was related to chronic back pain, one was related to HIV/AIDS, and one was related to persons with any type of disability. Each of the studies used different methodologies, measured substance abuse in different ways, and examined different psychosocial outcome variables. Examination of trends suggested that pre-injury substance abuse appears to be unrelated to acceptance of disability in persons with spinal cord injury and negatively associated with satisfaction in persons with traumatic brain injury. Recent substance abuse tends to have a detrimental effect on psychosocial outcomes across all disability groups. Future research, combined with appropriate pre-service and continuing education related to substance abuse and disability for rehabilitation practitioners, has the potential to lead to improved psychosocial outcomes in persons with disabilities.

  4. Multivariate covariance generalized linear models

    DEFF Research Database (Denmark)

    Bonat, W. H.; Jørgensen, Bent

    2016-01-01

    are fitted by using an efficient Newton scoring algorithm based on quasi-likelihood and Pearson estimating functions, using only second-moment assumptions. This provides a unified approach to a wide variety of types of response variables and covariance structures, including multivariate extensions......We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models, designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation structures defined in terms of a covariance link...... function combined with a matrix linear predictor involving known matrices. The method is motivated by three data examples that are not easily handled by existing methods. The first example concerns multivariate count data, the second involves response variables of mixed types, combined with repeated...

  5. Substance abuse and quality of life among severely mentally ill consumers: a longitudinal modelling analysis.

    Science.gov (United States)

    Urbanoski, Karen A; Cairney, John; Adlaf, Edward; Rush, Brian

    2007-10-01

    Evidence suggests that substance abuse negatively affects both psychiatric symptom severity and quality of life (QOL) in people with severe mental illness (SMI). However, these relationships have not been examined simultaneously, nor have they been characterized over time. Thus, it is difficult to appreciate the extent to which substance abuse exerts an enduring effect on psychiatric symptoms and distress and/or QOL in this population. The purpose of this study is to test a conceptual model linking these factors together. Subjects were participants in a longitudinal evaluation of community mental healthcare in Ontario (n = 133). Comprehensive consumer assessments were conducted at treatment entry, and at 9 and 18 months. Subjects were receiving intensive case management or assertive community treatment throughout the 18-month study period. Structural equation modelling was used to examine the concurrent and longitudinal relationships between substance abuse, symptoms and distress, and QOL. The prevalence of substance abuse was 55.0%. The SEM analysis suggested that substance abuse at baseline was associated with elevated symptomatology and distress and lower QOL, and that these effects endured after 18 months of treatment. Psychiatric symptoms and distress mediated the negative relationship between substance abuse and QOL. The mediating role played by symptom and distress levels in the relationship between substance abuse and QOL suggests the importance of closely monitoring changes in these factors among SMI patients with substance problems. Tracking symptom severity and distress levels over time will allow service providers to intervene and potentially improve the QOL of individuals with SMI.

  6. Being emotionally abused: a phenomenological study of adult women's experiences of emotionally abusive intimate partner relationships.

    Science.gov (United States)

    Queen, Josie; Nurse, Army; Brackley, Margaret H; Williams, Gail B

    2009-04-01

    The purpose of this study was to explore and describe individual perceptions, meanings, and definitions of emotional abuse through the lived experience of women who identified themselves as being emotionally abused by an intimate partner (IP). To answer the research question, "What is it like to live the life of a woman who is emotionally abused by her intimate partner?" A descriptive, phenomenological research design was undertaken. Unstructured individual interviews with 15 emotionally abused adult women resulted in the discovery of seven essential themes: captivity, defining moments, disassociation from self, fixing, mindful manipulation, relentless terror, and taking a stand. A combination of a hermeneutic approach and Diekelmann's approach to data analysis was used to explore differences in perceptions and develop essential themes that portrayed the essence of a woman's lived experience of being emotionally abused by her IP. The data also demonstrated that (1) IP emotional abuse has no prerequisite for partner rage or obvious emotional manipulation, (2) the absence of caring and respectful partner behaviors was just as powerful in creating an emotionally abusive experience as openly abusive behaviors, and (3) being emotionally abused was a life journey, encompassing multiple culminations, secondary physical and mental health symptoms, and quality of life issues that extended well beyond the immediate abuse experience.

  7. Multivariate analysis of eigenvalues and eigenvectors in tensor based morphometry

    Science.gov (United States)

    Rajagopalan, Vidya; Schwartzman, Armin; Hua, Xue; Leow, Alex; Thompson, Paul; Lepore, Natasha

    2015-01-01

    We develop a new algorithm to compute voxel-wise shape differences in tensor-based morphometry (TBM). As in standard TBM, we non-linearly register brain T1-weighed MRI data from a patient and control group to a template, and compute the Jacobian of the deformation fields. In standard TBM, the determinants of the Jacobian matrix at each voxel are statistically compared between the two groups. More recently, a multivariate extension of the statistical analysis involving the deformation tensors derived from the Jacobian matrices has been shown to improve statistical detection power.7 However, multivariate methods comprising large numbers of variables are computationally intensive and may be subject to noise. In addition, the anatomical interpretation of results is sometimes difficult. Here instead, we analyze the eigenvalues and the eigenvectors of the Jacobian matrices. Our method is validated on brain MRI data from Alzheimer's patients and healthy elderly controls from the Alzheimer's Disease Neuro Imaging Database.

  8. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2014-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented co...... applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analyzed......A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant...

  9. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2013-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented co...... applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analyzed......A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant...

  10. Prevalence of substance abuse among regular degree health science students in Sheba University College in Mekelle Town, Tigray - Ethiopia.

    Science.gov (United States)

    Hagos, Esietu Gebregazabher; Asfeha, Gebrekidan Gebregzabher; Berihu, Birhane Alem

    2016-01-01

    Substance abuse (SA) refers to the harmful or hazardous use of psychoactive substances, including alcohol and illicit drugs. The most common substances which are usually abused are alcohol and tobacco. Herein, we assessed the prevalence of SA among regular degree health science students of the Sheba University College (SUC). A cross-sectional survey was carried out among 1076 SUC students using self-administered structured questionnaire. The simple sampling technique was used to select students. Descriptive statistics, bivariate, and multivariate analysis were done. The overall prevalence of "ever used substance" for at least one was 45.5%. The most commonly used drugs in descending order were alcohol (25.1%), cigarette (11.4%), and khat (9.2%). Male participants, urban setting, peer pressure, personal pleasure, and academic dissatisfaction and pocket money were highly associated with SA. This study showed a lower magnitude (45.6% ever use and 21% still using) of SA among students' compared to other studies. Even if a considerable decrease in SA among study subjects, the creation of awareness and health education should be continued to fully combat the problem of abuse.

  11. Domestic abuse awareness and recognition among primary healthcare professionals and abused women: a qualitative investigation.

    Science.gov (United States)

    Bradbury-Jones, Caroline; Taylor, Julie; Kroll, Thilo; Duncan, Fiona

    2014-11-01

    To investigate the dynamics of domestic abuse awareness and recognition among primary healthcare professionals and abused women. Domestic abuse is a serious, public health issue that crosses geographical and demographic boundaries. Health professionals are well placed to recognise and respond to domestic abuse, but empirical evidence suggests that they are reluctant to broach the issue. Moreover, research has shown that women are reluctant to disclose abuse. A two-phase, qualitative study was conducted in Scotland. Twenty-nine primary health professionals (midwives, health visitors and general practitioners) participated in the first phase of the study, and 14 abused women took part in phase two. Data were collected in 2011. Semi-structured, individual interviews were conducted with the health professionals, and three focus groups were facilitated with the abused women. Data were analysed using a framework analysis approach. Differing levels of awareness of the nature and existence of abuse are held by abused women and primary healthcare professionals. Specifically, many women do not identify their experiences as abusive. A conceptual representation of domestic abuse - the "abused women, awareness, recognition and empowerment' framework - arising from the study - presents a new way of capturing the complexity of the disclosure process. Further research is necessary to test and empirically validate the framework, but it has potential pedagogical use for the training and education of health professionals and clinical use with abused women. The framework may be used in clinical practice by nurses and other health professionals to facilitate open discussion between professionals and women. In turn, this may empower women to make choices regarding disclosure and safety planning. © 2014 John Wiley & Sons Ltd.

  12. Age at onset of substance abuse: a crucial covariate of psychopathic traits and aggression in adult offenders.

    Science.gov (United States)

    Gustavson, Christina; Ståhlberg, Ola; Sjödin, Anna-Kari; Forsman, Anders; Nilsson, Thomas; Anckarsäter, Henrik

    2007-10-31

    To examine age at onset of substance abuse in relation to other factors of relevance to criminal behavior, we compared Life History of Aggression (LHA) scores, traits of psychopathy according to the Psychopathy Checklist--Revised (PCL-R), and violent recidivism in 100 violent offenders with early (before the age of 18) versus late onset of abuse or dependence. Of 56 subjects with a history of alcohol and/or drug abuse, an early onset was ascertained in 31. The duration of abuse did not correlate with the LHA and PCL-R scores or with violent recidivism, but the age at onset correlated strongly with all these factors and also remained their strongest correlate in multivariate models including childhood-onset attention deficit/hyperactivity disorder, conduct disorder, and drug abuse as covariates. Strong mathematical associations with aggression, psychopathy, and recidivism pointed to age at onset of substance abuse as a marker of possible complications that require preventive social, educational and medical measures.

  13. The universality of childhood emotional abuse: A meta-analysis of worldwide prevalence

    NARCIS (Netherlands)

    Stoltenborgh, M.; Bakermans-Kranenburg, M.J.; Alink, L.R.A.; van IJzendoorn, M.H.

    2012-01-01

    This comprehensive meta-analysis combined prevalence figures of child emotional abuse reported in 29 studies, including 46 independent samples with a total of 7,082,279 participants. The overall estimated prevalence was 3/1,000 for studies using informants and 363/1,000 for studies using self-report

  14. A robust multivariate long run analysis of European electricity prices

    OpenAIRE

    Bruno Bosco; Lucia Parisio; Matteo Pelagatti; Fabio Baldi

    2007-01-01

    This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of our robust multivariate long run dynamic analysis reveal the presence of four highly integrated central European markets (France, Germany, the Netherlands and Austria). The trend shared by these four electricity markets appears to be common also to gas prices, but not to oil prices. The existence of long term dynamics among electricity prices and between electrici...

  15. Does Parent-Child Interaction Therapy Reduce Future Physical Abuse? A Meta-Analysis

    Science.gov (United States)

    Kennedy, Stephanie C.; Kim, Johnny S.; Tripodi, Stephen J.; Brown, Samantha M.; Gowdy, Grace

    2016-01-01

    Objective: To use meta-analytic techniques to evaluating the effectiveness of parent-child interaction therapy (PCIT) at reducing future physical abuse among physically abusive families. Methods: A systematic search identified six eligible studies. Outcomes of interest were physical abuse recurrence, child abuse potential, and parenting stress.…

  16. Oxidative stability of frozen mackerel batches ― A multivariate data analysis approach

    DEFF Research Database (Denmark)

    Helbo Ekgreen, M.; Frosch, Stina; Baron, Caroline Pascale

    2011-01-01

    deterioration and texture changes. The aim was to investigate the correlation between the raw material history and the quality loss observed during frozen storage using relevant multivariate data analysis such as Principal Component Analysis (PCA) and Partial Least Square Analysis (PLS). Preliminary results...... showed that it was possible to differentiate between the different batches depending on their history and that some batches were more oxidised than others. Furthermore, based on the results from the data analysis, critical control points in the entire production chain will be identified and strategies...

  17. Authentication of Trappist beers by LC-MS fingerprints and multivariate data analysis.

    Science.gov (United States)

    Mattarucchi, Elia; Stocchero, Matteo; Moreno-Rojas, José Manuel; Giordano, Giuseppe; Reniero, Fabiano; Guillou, Claude

    2010-12-08

    The aim of this study was to asses the applicability of LC-MS profiling to authenticate a selected Trappist beer as part of a program on traceability funded by the European Commission. A total of 232 beers were fingerprinted and classified through multivariate data analysis. The selected beer was clearly distinguished from beers of different brands, while only 3 samples (3.5% of the test set) were wrongly classified when compared with other types of beer of the same Trappist brewery. The fingerprints were further analyzed to extract the most discriminating variables, which proved to be sufficient for classification, even using a simplified unsupervised model. This reduced fingerprint allowed us to study the influence of batch-to-batch variability on the classification model. Our results can easily be applied to different matrices and they confirmed the effectiveness of LC-MS profiling in combination with multivariate data analysis for the characterization of food products.

  18. Aggression and substance abuse in bipolar disorder.

    Science.gov (United States)

    Grunebaum, Michael F; Galfalvy, Hanga C; Nichols, C Matthew; Caldeira, Nathilee A; Sher, Leo; Dervic, Kanita; Burke, Ainsley K; Mann, J John; Oquendo, Maria A

    2006-10-01

    The goal of this retrospective study was to examine factors differentiating persons with bipolar disorder who did or did not have comorbid lifetime substance use disorders (SUD) at an index assessment. We also explored the chronology of onset of mood and SUD. We studied 146 subjects with DSM-defined bipolar disorder. Subgroups with and without lifetime SUD were compared on demographic and clinical measures. Substance abuse disorders in this bipolar sample were associated with male sex, impulsive-aggressive traits, comorbid conduct and Cluster B personality disorders, number of suicide attempts and earlier age at onset of a first mood episode. In a multivariable logistic regression analysis, male sex and aggression and possibly earlier age at mood disorder onset were associated with SUD. In those with or without SUD, the first mood episode tended to be depressive and to precede the onset of SUD. In persons with bipolar disorder, an earlier age of onset and aggressive traits appear to be factors associated with later development of comorbid SUD.

  19. Multivariable nonlinear analysis of foreign exchange rates

    Science.gov (United States)

    Suzuki, Tomoya; Ikeguchi, Tohru; Suzuki, Masuo

    2003-05-01

    We analyze the multivariable time series of foreign exchange rates. These are price movements that have often been analyzed, and dealing time intervals and spreads between bid and ask prices. Considering dealing time intervals as event timing such as neurons’ firings, we use raster plots (RPs) and peri-stimulus time histograms (PSTHs) which are popular methods in the field of neurophysiology. Introducing special processings to obtaining RPs and PSTHs time histograms for analyzing exchange rates time series, we discover that there exists dynamical interaction among three variables. We also find that adopting multivariables leads to improvements of prediction accuracy.

  20. Multivariate methods for analysis of environmental reference materials using laser-induced breakdown spectroscopy

    Directory of Open Access Journals (Sweden)

    Shikha Awasthi

    2017-06-01

    Full Text Available Analysis of emission from laser-induced plasma has a unique capability for quantifying the major and minor elements present in any type of samples under optimal analysis conditions. Chemometric techniques are very effective and reliable tools for quantification of multiple components in complex matrices. The feasibility of laser-induced breakdown spectroscopy (LIBS in combination with multivariate analysis was investigated for the analysis of environmental reference materials (RMs. In the present work, different (Certified/Standard Reference Materials of soil and plant origin were analyzed using LIBS and the presence of Al, Ca, Mg, Fe, K, Mn and Si were identified in the LIBS spectra of these materials. Multivariate statistical methods (Partial Least Square Regression and Partial Least Square Discriminant Analysis were employed for quantitative analysis of the constituent elements using the LIBS spectral data. Calibration models were used to predict the concentrations of the different elements of test samples and subsequently, the concentrations were compared with certified concentrations to check the authenticity of models. The non-destructive analytical method namely Instrumental Neutron Activation Analysis (INAA using high flux reactor neutrons and high resolution gamma-ray spectrometry was also used for intercomparison of results of two RMs by LIBS.

  1. Clusters of abusive parenting: a latent class analysis of families referred to Child Protective Services in Portugal.

    Science.gov (United States)

    Matos, Ana Luísa; Moleiro, Carla; Dias, José G

    2014-12-01

    From the perspective of ecological models, it is suggested that a thorough behavior analysis of parental mistreatment and neglect is undertaken from a general approach to a more comprehensive and multi-dimensional perspective. Hence, the main goal of the present study was to determine if meaningful groups or clusters of abusive parenting in Portugal could be identified based on the characterization of the children and adolescents, their parents and context variables. An instrument was developed to assess variables of the children or adolescents, the family and the social context, all of which have been shown to be important in the literature. Child and Youth Protection Commissions from the whole of Portugal participated in the study, a total of 504 cases. Latent class analysis was applied in order to identify distinct parenting abusing behavior. The results showed four distinct clusters of families which are clearly defined in light of the types of risk and associated variables. The four groups are probabilistic and propose the composition of clusters with socio-demographic variables related to the types of risk. The significant interrelationships of different profiling characteristics are directly related to parenting abusing behavior. The results of this study confirmed our hypothesis of heterogeneous abusive parenting in Portugal. The findings yield useful policy-oriented results. Meaningfully organizing abusive parenting may be an important step not only in understanding the origins of abuse and neglect, but also in integrating this information into intervention models with children, young people and their families. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. Associations Between Childhood Abuse, Posttraumatic Stress Disorder, and Implicit Emotion Regulation Deficits: Evidence From a Low-Income, Inner-City Population.

    Science.gov (United States)

    Powers, Abigail; Etkin, Amit; Gyurak, Anett; Bradley, Bekh; Jovanovic, Tanja

    2015-01-01

    Childhood abuse is associated with a wide range of negative outcomes, including increased risk for development of emotion dysregulation and psychopathology, such as posttraumatic stress disorder (PTSD). The goal of the present study was to examine associations between child abuse, PTSD symptoms, and performance on an emotional conflict regulation task that assesses implicit emotion regulation abilities. The sample consisted of 67 (94% African American) females recruited from a public, urban hospital. Childhood abuse was measured using the Childhood Trauma Questionnaire, and PTSD was measured using the modified PTSD Symptom Scale. Task accuracy and implicit emotion regulation were measured through an emotional conflict regulation behavioral task. A multivariate analysis of covariance showed that exposure to moderate to severe childhood abuse was significantly related to worse emotional conflict regulation scores independent of current PTSD symptoms, depressive symptoms, and adult trauma exposure, suggesting a deficit in implicit emotion regulation. We also found an interaction between PTSD symptoms and abuse exposure in predicting accuracy on the behavioral task; high levels of PTSD symptoms were associated with poorer task accuracy among individuals who reported moderate to severe exposure to childhood abuse. However, no relationship between implicit emotion regulation abilities and overall PTSD symptom severity was found. This study provides preliminary evidence of an implicit emotion regulation deficit for individuals exposed to significant childhood abuse and further supports the growing evidence that addressing various aspects of emotion dysregulation, such as awareness of emotions and strategies to manage strong emotions, in the context of treatment would be valuable.

  3. Pre-service teachers’ awareness of child abuse

    Directory of Open Access Journals (Sweden)

    Nihal TUNCA

    2015-12-01

    Full Text Available The purpose of this study is to determine the awareness of pre-service teachers from different departments related to the concept of child abuse. This study aims to determine pre-service teachers’ awareness of child abuse as a qualitative study, conducted in line with phenomenological design. In the study, one of the purposeful sampling methods, maximum diversity sampling method, was employed. The participants of the study are 15 pre-service teachers attending the departments of Psychological Counseling and Guidance, Teacher Education for the Intellectually Disabled, Pre-school Teacher Education, Social Studies, Art Teaching, Computer and Instructional Technologies, German Language Teaching, French Language Teaching, and Teacher Education for the Hearing Impaired, all within the Education Faculty of Anatolian University, Turkey. The data of the study was collected through the focus-group interview technique. The data collected from two different focus-group interviews were analyzed by content analysis technique using the NVivo 8 data analysis program. As a result of the analysis of the data, it was concluded that the pre-service teachers explained the concept of child abuse by most strongly emphasizing emotional abuse and least strongly by emphasizing economic abuse. In light of the pre-service teachers’ opinions, it was also concluded that the culture constructed by society through the meanings attached to genders, society’s view of sexuality, child marriage, proverbs and idioms specific to the local society and superstitions lead to incidences of child abuse. The current study revealed that child abuse can be prevented by providing training to raise the awareness of child abuse primarily for families then children, teachers and other concerned people. It was also found that the majority of pre-service teachers do not have enough information about how to act in the face of an incidence of child abuse.

  4. Sexual Abuse of Children as a Form of Power Abuse and Abuse of the Body

    OpenAIRE

    Reynaert, Machteld

    2015-01-01

    This article investigates the relationship between sexual abuse, power and the body from a Catholic theological viewpoint. The article starts with the relationship between sexual abuse and power. It is argued that sexual abuse is always a form of power abuse. A second step examines the relation between sexual abuse and the body. We may not ignore the theme of the body when we speak about sexual abuse as a form of power abuse. The article also explores whether the body is a theme in recent (th...

  5. Assessment of Substances Abuse in Burn Patients by Using Drug Abuse Screening Test

    Directory of Open Access Journals (Sweden)

    Kobra Gaseminegad

    2012-04-01

    Full Text Available There has been an increase in the frequency of substance abuse among hospitalized burn injury patients. However, few studies have investigated substance abuse among burn patients. This study was aimed to identify the incidence of substance abuse in burn injury patients using the "Drug Abuse Screening Test" (DAST-20. We determined the validity of DAST-20 in spring 2010. Subsequently, this descriptive study was performed on 203 burn injury patients who fit the study's inclusion criteria. We chose a score of 6 as the cutoff and thus achieved a sensitivity of 89% and a specificity of 85% for the DAST-20. During the study, we gathered demographic data, burn features and DAST-20 results for all patients. Patients with scores of 6 or more were considered to be substances abusers. A statistical analysis was conducted using SPSS v16 software. According to the DAST-20 results, 33% of the patients were in the user group. The mean score of DAST-20 was significantly higher among users than it was among nonusers (P<0.05. The level of substance abuse was severe in 77% of users. No significant differences were found among the substances, with the exception of alcohol. Substance abuse is an important risk factor for burn patients. In addition, this study showed that DAST-20 is a valid screening measure for studies on burn patients.

  6. The relationship between child abuse and adult obesity among california women.

    Science.gov (United States)

    Alvarez, Jennifer; Pavao, Joanne; Baumrind, Nikki; Kimerling, Rachel

    2007-07-01

    Despite clinical studies suggesting that child abuse is associated with adult obesity, very few studies have been conducted with large community or state-based samples. This study examines the relationship between child abuse and adult obesity, relative to other risk factors such as demographics, food insecurity, inadequate fruit and vegetable consumption, and physical inactivity, in a representative sample of California women. Data are from the California Women's Health Survey, a state-based, random-digit-dial annual probability survey of California women. Participants included 11,115 nonpregnant women aged 18 or older, who provided complete data for all study variables. The telephone interview included assessment of child abuse (abstracted from the Traumatic Stress Schedule), food insecurity, perceived stress, physical activity, fruit and vegetable consumption, height, and weight. Data were collected in 2002, 2003, and 2004, and analyzed in 2006. Obese (body mass index [BMI] of 30 or higher) women were significantly more likely to report exposure to child abuse (odds ratio [OR]=1.32, 95% confidence interval [CI]=1.23-1.42). In a multivariate model adjusted for age, race/ethnicity, education, food insecurity, inadequate fruit and vegetable consumption, physical inactivity, and perceived stress, women exposed to child abuse remained significantly more likely to be obese than unexposed women (adjusted OR=1.27, 95% CI=1.13-1.40). The population-attributable fraction of obesity associated with any type of abuse was 4.5% (95% CI=2.28-6.55). Exposure to child abuse is associated with adult obesity among California women, even accounting for other relevant variables. This supports the notion that child abuse and its sequelae may be important targets for public health intervention, particularly in subpopulations where the prevalence of child abuse is known to be high.

  7. Spatial compression algorithm for the analysis of very large multivariate images

    Science.gov (United States)

    Keenan, Michael R [Albuquerque, NM

    2008-07-15

    A method for spatially compressing data sets enables the efficient analysis of very large multivariate images. The spatial compression algorithms use a wavelet transformation to map an image into a compressed image containing a smaller number of pixels that retain the original image's information content. Image analysis can then be performed on a compressed data matrix consisting of a reduced number of significant wavelet coefficients. Furthermore, a block algorithm can be used for performing common operations more efficiently. The spatial compression algorithms can be combined with spectral compression algorithms to provide further computational efficiencies.

  8. Multivariate stochastic analysis for Monthly hydrological time series at Cuyahoga River Basin

    Science.gov (United States)

    zhang, L.

    2011-12-01

    Copula has become a very powerful statistic and stochastic methodology in case of the multivariate analysis in Environmental and Water resources Engineering. In recent years, the popular one-parameter Archimedean copulas, e.g. Gumbel-Houggard copula, Cook-Johnson copula, Frank copula, the meta-elliptical copula, e.g. Gaussian Copula, Student-T copula, etc. have been applied in multivariate hydrological analyses, e.g. multivariate rainfall (rainfall intensity, duration and depth), flood (peak discharge, duration and volume), and drought analyses (drought length, mean and minimum SPI values, and drought mean areal extent). Copula has also been applied in the flood frequency analysis at the confluences of river systems by taking into account the dependence among upstream gauge stations rather than by using the hydrological routing technique. In most of the studies above, the annual time series have been considered as stationary signal which the time series have been assumed as independent identically distributed (i.i.d.) random variables. But in reality, hydrological time series, especially the daily and monthly hydrological time series, cannot be considered as i.i.d. random variables due to the periodicity existed in the data structure. Also, the stationary assumption is also under question due to the Climate Change and Land Use and Land Cover (LULC) change in the fast years. To this end, it is necessary to revaluate the classic approach for the study of hydrological time series by relaxing the stationary assumption by the use of nonstationary approach. Also as to the study of the dependence structure for the hydrological time series, the assumption of same type of univariate distribution also needs to be relaxed by adopting the copula theory. In this paper, the univariate monthly hydrological time series will be studied through the nonstationary time series analysis approach. The dependence structure of the multivariate monthly hydrological time series will be

  9. Multivariate statistical analysis for x-ray photoelectron spectroscopy spectral imaging: Effect of image acquisition time

    International Nuclear Information System (INIS)

    Peebles, D.E.; Ohlhausen, J.A.; Kotula, P.G.; Hutton, S.; Blomfield, C.

    2004-01-01

    The acquisition of spectral images for x-ray photoelectron spectroscopy (XPS) is a relatively new approach, although it has been used with other analytical spectroscopy tools for some time. This technique provides full spectral information at every pixel of an image, in order to provide a complete chemical mapping of the imaged surface area. Multivariate statistical analysis techniques applied to the spectral image data allow the determination of chemical component species, and their distribution and concentrations, with minimal data acquisition and processing times. Some of these statistical techniques have proven to be very robust and efficient methods for deriving physically realistic chemical components without input by the user other than the spectral matrix itself. The benefits of multivariate analysis of the spectral image data include significantly improved signal to noise, improved image contrast and intensity uniformity, and improved spatial resolution - which are achieved due to the effective statistical aggregation of the large number of often noisy data points in the image. This work demonstrates the improvements in chemical component determination and contrast, signal-to-noise level, and spatial resolution that can be obtained by the application of multivariate statistical analysis to XPS spectral images

  10. Prior childhood sexual abuse in mothers of sexually abused children.

    Science.gov (United States)

    Oates, R K; Tebbutt, J; Swanston, H; Lynch, D L; O'Toole, B I

    1998-11-01

    To see if mothers who were sexually abused in their own childhood are at increased risk of their children being sexually abused and to see if prior sexual abuse in mothers affects their parenting abilities. Sixty-seven mothers whose children had been sexually abused by others and 65 control mothers were asked about sexual abuse in their own childhood. The sexually abused children of mothers who had been sexually abused in their own childhood were compared with the sexually abused children of mothers who had not suffered child sexual abuse as children. Comparisons were made on self-esteem, depression and behavior in the children. Thirty-four percent of mothers of sexually abused children gave a history of sexual abuse in their own childhoods, compared with 12% of control mothers. Assessment of the sexually abused children for self-esteem, depression and behavior at the time of diagnosis, after 18 months and after 5 years showed no difference in any of these measures at any of the three time intervals between those whose mothers had suffered child sexual abuse and those whose mothers had not been abused. In this study, sexual abuse in a mother's own childhood was related to an increased risk of sexual abuse occurring in the next generation, although prior maternal sexual abuse did not effect outcome in children who were sexually abused.

  11. Sparse multivariate factor analysis regression models and its applications to integrative genomics analysis.

    Science.gov (United States)

    Zhou, Yan; Wang, Pei; Wang, Xianlong; Zhu, Ji; Song, Peter X-K

    2017-01-01

    The multivariate regression model is a useful tool to explore complex associations between two kinds of molecular markers, which enables the understanding of the biological pathways underlying disease etiology. For a set of correlated response variables, accounting for such dependency can increase statistical power. Motivated by integrative genomic data analyses, we propose a new methodology-sparse multivariate factor analysis regression model (smFARM), in which correlations of response variables are assumed to follow a factor analysis model with latent factors. This proposed method not only allows us to address the challenge that the number of association parameters is larger than the sample size, but also to adjust for unobserved genetic and/or nongenetic factors that potentially conceal the underlying response-predictor associations. The proposed smFARM is implemented by the EM algorithm and the blockwise coordinate descent algorithm. The proposed methodology is evaluated and compared to the existing methods through extensive simulation studies. Our results show that accounting for latent factors through the proposed smFARM can improve sensitivity of signal detection and accuracy of sparse association map estimation. We illustrate smFARM by two integrative genomics analysis examples, a breast cancer dataset, and an ovarian cancer dataset, to assess the relationship between DNA copy numbers and gene expression arrays to understand genetic regulatory patterns relevant to the disease. We identify two trans-hub regions: one in cytoband 17q12 whose amplification influences the RNA expression levels of important breast cancer genes, and the other in cytoband 9q21.32-33, which is associated with chemoresistance in ovarian cancer. © 2016 WILEY PERIODICALS, INC.

  12. Management of physical child abuse in South Africa: literature review and children's hospital data analysis.

    Science.gov (United States)

    Janssen, T L; van Dijk, M; Al Malki, I; van As, A B

    2013-11-01

    The reason for this review is the lack of data on the management of physical abused children in Africa. The primary goal of the first part is to outline the management of physical child abuse in (South) Africa and provide suggestions for other governments in Africa on which to base their management of physical child abuse, at both governmental and hospital management level. The main aim of the second part is to outline the extent of the problem as seen at the Red Cross Memorial Children's Hospital (RCH) in Cape Town. The National Library of Medicine's PubMed database was searched for articles specifically about the management of physical child abuse. Hospital data were analysed in two phases: one addressed various types of assault in order to assess the number of patients admitted to the trauma unit of RCH between 1991 and 2009, and the other to identify all children with suspected non-accidental injury (NAI) presenting to the trauma unit at RCH from January 2008 until December 2010. Information on physical abuse of children in Africa in the English scientific literature remains disappointing with only two articles focusing on its management. RCH data for the period 1991-2009 recorded a total number of 6415 children hospitalised with injuries following assault, who accounted for 4.2% of all trauma admissions. Types of abuse included assault with a blunt or sharp instrument, rape/sexual assault and human bite wounds. Over the last 2 decades, there has been a minor decline in the number of cases of severe abuse requiring admission; admissions for other injuries have remained stable. More detailed analysis of hospital data for 2008-2010, found that boys were far more commonly assaulted than girls (70.5% vs 29.5%). Physical abuse appeared to be the most common cause of abuse; 89.9% of all boys and 60.5% of all girls presented after physical abuse. In order to eradicate child abuse, awareness of it as to be promoted in the community at large. Because the types of child

  13. A primer of multivariate statistics

    CERN Document Server

    Harris, Richard J

    2014-01-01

    Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why

  14. Cognitive and Emotional Differences between Abusive and Non-Abusive Fathers

    Science.gov (United States)

    Francis, Karen J.; Wolfe, David A.

    2008-01-01

    Objective: Abusive fathers perpetrate a substantial portion of child physical abuse. Despite this, little is known about how they differ from non-abusive fathers. This study compared a broad range of cognitive and affective factors between physically abusive and non-abusive fathers. Methods: Abusive (n = 24) and non-abusive (n = 25) fathers…

  15. An overview of multivariate gamma distributions as seen from a (multivariate) matrix exponential perspective

    DEFF Research Database (Denmark)

    Bladt, Mogens; Nielsen, Bo Friis

    2012-01-01

    Laplace transform. In a longer perspective stochastic and statistical analysis for MVME will in particular apply to any of the previously defined distributions. Multivariate gamma distributions have been used in a variety of fields like hydrology, [11], [10], [6], space (wind modeling) [9] reliability [3......Numerous definitions of multivariate exponential and gamma distributions can be retrieved from the literature [4]. These distribtuions belong to the class of Multivariate Matrix-- Exponetial Distributions (MVME) whenever their joint Laplace transform is a rational function. The majority...... of these distributions further belongs to an important subclass of MVME distributions [5, 1] where the multivariate random vector can be interpreted as a number of simultaneously collected rewards during sojourns in a the states of a Markov chain with one absorbing state, the rest of the states being transient. We...

  16. Multivariate statistical analysis of wildfires in Portugal

    Science.gov (United States)

    Costa, Ricardo; Caramelo, Liliana; Pereira, Mário

    2013-04-01

    Several studies demonstrate that wildfires in Portugal present high temporal and spatial variability as well as cluster behavior (Pereira et al., 2005, 2011). This study aims to contribute to the characterization of the fire regime in Portugal with the multivariate statistical analysis of the time series of number of fires and area burned in Portugal during the 1980 - 2009 period. The data used in the analysis is an extended version of the Rural Fire Portuguese Database (PRFD) (Pereira et al, 2011), provided by the National Forest Authority (Autoridade Florestal Nacional, AFN), the Portuguese Forest Service, which includes information for more than 500,000 fire records. There are many multiple advanced techniques for examining the relationships among multiple time series at the same time (e.g., canonical correlation analysis, principal components analysis, factor analysis, path analysis, multiple analyses of variance, clustering systems). This study compares and discusses the results obtained with these different techniques. Pereira, M.G., Trigo, R.M., DaCamara, C.C., Pereira, J.M.C., Leite, S.M., 2005: "Synoptic patterns associated with large summer forest fires in Portugal". Agricultural and Forest Meteorology. 129, 11-25. Pereira, M. G., Malamud, B. D., Trigo, R. M., and Alves, P. I.: The history and characteristics of the 1980-2005 Portuguese rural fire database, Nat. Hazards Earth Syst. Sci., 11, 3343-3358, doi:10.5194/nhess-11-3343-2011, 2011 This work is supported by European Union Funds (FEDER/COMPETE - Operational Competitiveness Programme) and by national funds (FCT - Portuguese Foundation for Science and Technology) under the project FCOMP-01-0124-FEDER-022692, the project FLAIR (PTDC/AAC-AMB/104702/2008) and the EU 7th Framework Program through FUME (contract number 243888).

  17. Integrated environmental monitoring and multivariate data analysis-A case study.

    Science.gov (United States)

    Eide, Ingvar; Westad, Frank; Nilssen, Ingunn; de Freitas, Felipe Sales; Dos Santos, Natalia Gomes; Dos Santos, Francisco; Cabral, Marcelo Montenegro; Bicego, Marcia Caruso; Figueira, Rubens; Johnsen, Ståle

    2017-03-01

    The present article describes integration of environmental monitoring and discharge data and interpretation using multivariate statistics, principal component analysis (PCA), and partial least squares (PLS) regression. The monitoring was carried out at the Peregrino oil field off the coast of Brazil. One sensor platform and 3 sediment traps were placed on the seabed. The sensors measured current speed and direction, turbidity, temperature, and conductivity. The sediment trap samples were used to determine suspended particulate matter that was characterized with respect to a number of chemical parameters (26 alkanes, 16 PAHs, N, C, calcium carbonate, and Ba). Data on discharges of drill cuttings and water-based drilling fluid were provided on a daily basis. The monitoring was carried out during 7 campaigns from June 2010 to October 2012, each lasting 2 to 3 months due to the capacity of the sediment traps. The data from the campaigns were preprocessed, combined, and interpreted using multivariate statistics. No systematic difference could be observed between campaigns or traps despite the fact that the first campaign was carried out before drilling, and 1 of 3 sediment traps was located in an area not expected to be influenced by the discharges. There was a strong covariation between suspended particulate matter and total N and organic C suggesting that the majority of the sediment samples had a natural and biogenic origin. Furthermore, the multivariate regression showed no correlation between discharges of drill cuttings and sediment trap or turbidity data taking current speed and direction into consideration. Because of this lack of correlation with discharges from the drilling location, a more detailed evaluation of chemical indicators providing information about origin was carried out in addition to numerical modeling of dispersion and deposition. The chemical indicators and the modeling of dispersion and deposition support the conclusions from the multivariate

  18. Exploring the belief systems of domestic abuse victims using Smallest Space Analysis (SSA)

    OpenAIRE

    Spruin, E.; Alleyne, E.; Baker, R.; Papadaki, I.; Franz, A.

    2017-01-01

    Purpose: Support service provisions for domestic abuse victims has typically focused on the immediate risk and etiological factors associated with abuse. Consequently, there is limited research exploring more persistent and pervasive factors involved in this cycle of abuse, such as subjective experiences and beliefs held by victims of domestic abuse. The current study is a preliminary exploration of the individual experience of domestic abuse including the belief systems of participants. Incr...

  19. Structural analysis and design of multivariable control systems: An algebraic approach

    Science.gov (United States)

    Tsay, Yih Tsong; Shieh, Leang-San; Barnett, Stephen

    1988-01-01

    The application of algebraic system theory to the design of controllers for multivariable (MV) systems is explored analytically using an approach based on state-space representations and matrix-fraction descriptions. Chapters are devoted to characteristic lambda matrices and canonical descriptions of MIMO systems; spectral analysis, divisors, and spectral factors of nonsingular lambda matrices; feedback control of MV systems; and structural decomposition theories and their application to MV control systems.

  20. Examining the associations between sex trade involvement, rape, and symptomatology of sexual abuse trauma.

    Science.gov (United States)

    Lutnick, Alexandra; Harris, Jennie; Lorvick, Jennifer; Cheng, Helen; Wenger, Lynn D; Bourgois, Philippe; Kral, Alex H

    2015-07-01

    The high prevalence of rape and sexual trauma symptomatology among women involved in street-based sex trades is well-established. Because prior research has lacked appropriate, non-sex trade involved comparison groups, it is unknown whether differences exist among similarly situated women who do and do not trade sex. This article explores experiences of childhood and adult rape and symptomatology of sexual abuse trauma among a community-based sample of 322 women who use methamphetamine in San Francisco, California, 61% of whom were involved in the sex trade. Study participants were recruited via respondent-driven sampling and eligible if they were cisgender women, aged 18 or older, current methamphetamine users, and sexually active with at least one cisgender man in the past 6 months. The dependent variable was sexual abuse trauma symptomatology, as measured by the Sexual Abuse Trauma Index (SATI) subscale of the Trauma Symptom Checklist-40 (TSC-40), and the explanatory variable was sex trade involvement. Potential covariates were age, current homelessness, methamphetamine dependence, and experiences of childhood and adult rape. Sixty-one percent of participants had a SATI subscale score suggestive of sexual abuse trauma. The overall prevalence of rape in childhood and adulthood was 52% and 73%, respectively. In bivariate analysis, sex trade involvement and all of the potential covariates except for homelessness and age were associated with a SATI score suggestive of sexual abuse trauma. In multivariate models controlling for significant covariates, there was no longer a statistically significant association between sex trade involvement or childhood rape and an elevated SATI score. Elevated levels of psychological dependence on methamphetamine and experiences of rape as an adult were still associated with a high SATI score. These findings highlight that urban poor women, regardless of sex trade involvement, suffer high levels of rape and related trauma

  1. Characterization of Land Transitions Patterns from Multivariate Time Series Using Seasonal Trend Analysis and Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Benoit Parmentier

    2014-12-01

    Full Text Available Characterizing biophysical changes in land change areas over large regions with short and noisy multivariate time series and multiple temporal parameters remains a challenging task. Most studies focus on detection rather than the characterization, i.e., the manner by which surface state variables are altered by the process of changes. In this study, a procedure is presented to extract and characterize simultaneous temporal changes in MODIS multivariate times series from three surface state variables the Normalized Difference Vegetation Index (NDVI, land surface temperature (LST and albedo (ALB. The analysis involves conducting a seasonal trend analysis (STA to extract three seasonal shape parameters (Amplitude 0, Amplitude 1 and Amplitude 2 and using principal component analysis (PCA to contrast trends in change and no-change areas. We illustrate the method by characterizing trends in burned and unburned pixels in Alaska over the 2001–2009 time period. Findings show consistent and meaningful extraction of temporal patterns related to fire disturbances. The first principal component (PC1 is characterized by a decrease in mean NDVI (Amplitude 0 with a concurrent increase in albedo (the mean and the annual amplitude and an increase in LST annual variability (Amplitude 1. These results provide systematic empirical evidence of surface changes associated with one type of land change, fire disturbances, and suggest that STA with PCA may be used to characterize many other types of land transitions over large landscape areas using multivariate Earth observation time series.

  2. The Role of Child Abuse and Neglect in Predicting the Early Maladaptive Schemas Domain

    Directory of Open Access Journals (Sweden)

    Mohammad Narimani

    2012-10-01

    Full Text Available Background: The purpose of this study was to investigate the role of child abuse and neglect in predicting the early maladaptive schemas domains.Materials and Methods: This is a causal-comparative research. Sampling was performed using multistage clustering and simple random sampling methods. 500 individuals constituted the preliminary sample. After identifying 140 abused individuals, they were compared to 140 ordinary persons. In order to collect the data, the 53-item version of Bernstein Childhood Trauma Questionnaire (CTQ, and Yang Schema Questionnaire: Short Form 2 (YSQ-SF2 were used. To analyze the data, multivariate regression coefficient enter method was deployed.Results: Results showed that about 24% of the variance of the disconnection and rejection maladaptive schema domain, as well as 12% of the variance of the impaired autonomy and performance maladaptive schema domain were explained by the emotional abuse, physical abuse, and physical neglect. 13% of the other-directedness maladaptive schema domain variance, 6% of the impaired limits maladaptive schema domain, and 5% of the overvigilance and inhibition maladaptive schema domain variance were explained by the emotional abuse.Conclusion: According to the findings, it can be concluded that one could predict schemas and their respective domains with regards to abused children. Abused children are likely to develop maladaptive schemas and cognitive distortions due to the dull and harsh atmosphere of the family and its unhealthy environment.

  3. Multivariate analysis of prognostic factors for idiopathic sudden sensorineural hearing loss in children.

    Science.gov (United States)

    Chung, Jae Ho; Cho, Seok Hyun; Jeong, Jin Hyeok; Park, Chul Won; Lee, Seung Hwan

    2015-09-01

    To evaluate clinical characteristics and possible associated factors of idiopathic sudden sensorineural hearing loss (ISSNHL) in children using univariate and multivariate analyses. A retrospective case series with comparisons. From January 2007 to December 2013, medical records of 37 pediatric ISSNHL patients were reviewed to assess hearing recovery rate and examine factors associated with prognosis (gender; side of hearing loss; opposite side hearing loss; treatment onset; presence of vertigo, tinnitus, and ear fullness; initial hearing threshold), using univariate and multivariate analysis, and compare them with 276 adult ISSNHL patients. Pediatric patients comprised only 6.6% of pediatric/adult cases of ISSNHL, and those below 10 years old were only 0.7%. The overall recovery rates (complete and partial) of the pediatric and adult patients were 57.4% and 47.2%, respectively. The complete recovery rate of the pediatric group (46.6%) was higher than that of the adult group (30.8%, P = .040). According to multivariate analysis, absence of tinnitus, later onset of treatment, and higher hearing threshold at initial presentation were associated with a poor prognosis in pediatric ISSNHL. The recovery rate of ISSNHL in pediatric patients is higher than in adults, and the presence of tinnitus and earlier treatment onset is associated with favorable outcomes. 4. © 2015 The American Laryngological, Rhinological and Otological Society, Inc.

  4. Multivariate calibration in Laser-Induced Breakdown Spectroscopy quantitative analysis: The dangers of a 'black box' approach and how to avoid them

    Science.gov (United States)

    Safi, A.; Campanella, B.; Grifoni, E.; Legnaioli, S.; Lorenzetti, G.; Pagnotta, S.; Poggialini, F.; Ripoll-Seguer, L.; Hidalgo, M.; Palleschi, V.

    2018-06-01

    The introduction of multivariate calibration curve approach in Laser-Induced Breakdown Spectroscopy (LIBS) quantitative analysis has led to a general improvement of the LIBS analytical performances, since a multivariate approach allows to exploit the redundancy of elemental information that are typically present in a LIBS spectrum. Software packages implementing multivariate methods are available in the most diffused commercial and open source analytical programs; in most of the cases, the multivariate algorithms are robust against noise and operate in unsupervised mode. The reverse of the coin of the availability and ease of use of such packages is the (perceived) difficulty in assessing the reliability of the results obtained which often leads to the consideration of the multivariate algorithms as 'black boxes' whose inner mechanism is supposed to remain hidden to the user. In this paper, we will discuss the dangers of a 'black box' approach in LIBS multivariate analysis, and will discuss how to overcome them using the chemical-physical knowledge that is at the base of any LIBS quantitative analysis.

  5. Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm

    Directory of Open Access Journals (Sweden)

    Jankulovska Mirjana

    2014-01-01

    Full Text Available In this study, the use of different multivariate approaches to classify rapeseed genotypes based on quantitative traits has been presented. Tree regression analysis, PCA analysis and two-way cluster analysis were applied in order todescribe and understand the extent of genetic variability in spring rapeseed genotype by trait data. The traits which highly influenced seed and oil yield in rapeseed were successfully identified by the tree regression analysis. Principal predictor for both response variables was number of pods per plant (NP. NP and 1000 seed weight could help in the selection of high yielding genotypes. High values for both traits and oil content could lead to high oil yielding genotypes. These traits may serve as indirect selection criteria and can lead to improvement of seed and oil yield in rapeseed. Quantitative traits that explained most of the variability in the studied germplasm were classified using principal component analysis. In this data set, five PCs were identified, out of which the first three PCs explained 63% of the total variance. It helped in facilitating the choice of variables based on which the genotypes’ clustering could be performed. The two-way cluster analysissimultaneously clustered genotypes and quantitative traits. The final number of clusters was determined using bootstrapping technique. This approach provided clear overview on the variability of the analyzed genotypes. The genotypes that have similar performance regarding the traits included in this study can be easily detected on the heatmap. Genotypes grouped in the clusters 1 and 8 had high values for seed and oil yield, and relatively short vegetative growth duration period and those in cluster 9, combined moderate to low values for vegetative growth duration and moderate to high seed and oil yield. These genotypes should be further exploited and implemented in the rapeseed breeding program. The combined application of these multivariate methods

  6. Power analysis for multivariate and repeated measures designs: a flexible approach using the SPSS MANOVA procedure.

    Science.gov (United States)

    D'Amico, E J; Neilands, T B; Zambarano, R

    2001-11-01

    Although power analysis is an important component in the planning and implementation of research designs, it is often ignored. Computer programs for performing power analysis are available, but most have limitations, particularly for complex multivariate designs. An SPSS procedure is presented that can be used for calculating power for univariate, multivariate, and repeated measures models with and without time-varying and time-constant covariates. Three examples provide a framework for calculating power via this method: an ANCOVA, a MANOVA, and a repeated measures ANOVA with two or more groups. The benefits and limitations of this procedure are discussed.

  7. Co-Citation Analysis of Articles Published in Substance Abuse Journals: Intellectual Structure and Research Fields (2001-2012).

    Science.gov (United States)

    González-Alcaide, Gregorio; Calafat, Amador; Becoña, Elisardo; Thijs, Bart; Glänzel, Wolfgang

    2016-09-01

    The purpose of this study is to introduce a new methodology in the field of substance abuse, namely, co-citation analysis, which uses the bibliographic references of publications to establish the main thematic areas being researched and to identify the seminal documents that have contributed to establishing the intellectual foundation of the discipline at the present time. We identified all bibliographic references that were cited in documents published in the substance abuse journals included in the Journal Citation Reports in the 2001-2012 period, generating a co-citation matrix. This matrix was used to perform a co-citation network analysis. The co-citation network analysis led to the identification of 56 prominent research clusters that bring together 698 documents; their subject matter constitutes the foundation of the discipline in the field's journals. Substance abuse research is dominated by a few core topics; chief among them are tools for measuring and diagnosing dependence, as well as therapeutic approaches to treat alcohol abuse and nicotine addiction. Other areas of note include epidemiological studies, research on drug user motivation (particularly among young people), binge drinking, social support mediators and networks, opioid dependence, consumption and effects of cannabis, basic research on brain damage, genetic factors associated with substance use, and the physiological and neurological determinants of abstinence syndrome. The main works of reference that we identified were published in a small number of journals, which establish the intellectual, conceptual, and methodological basis of the discipline.

  8. Batch-to-batch quality consistency evaluation of botanical drug products using multivariate statistical analysis of the chromatographic fingerprint.

    Science.gov (United States)

    Xiong, Haoshu; Yu, Lawrence X; Qu, Haibin

    2013-06-01

    Botanical drug products have batch-to-batch quality variability due to botanical raw materials and the current manufacturing process. The rational evaluation and control of product quality consistency are essential to ensure the efficacy and safety. Chromatographic fingerprinting is an important and widely used tool to characterize the chemical composition of botanical drug products. Multivariate statistical analysis has showed its efficacy and applicability in the quality evaluation of many kinds of industrial products. In this paper, the combined use of multivariate statistical analysis and chromatographic fingerprinting is presented here to evaluate batch-to-batch quality consistency of botanical drug products. A typical botanical drug product in China, Shenmai injection, was selected as the example to demonstrate the feasibility of this approach. The high-performance liquid chromatographic fingerprint data of historical batches were collected from a traditional Chinese medicine manufacturing factory. Characteristic peaks were weighted by their variability among production batches. A principal component analysis model was established after outliers were modified or removed. Multivariate (Hotelling T(2) and DModX) control charts were finally successfully applied to evaluate the quality consistency. The results suggest useful applications for a combination of multivariate statistical analysis with chromatographic fingerprinting in batch-to-batch quality consistency evaluation for the manufacture of botanical drug products.

  9. Beer fermentation: monitoring of process parameters by FT-NIR and multivariate data analysis.

    Science.gov (United States)

    Grassi, Silvia; Amigo, José Manuel; Lyndgaard, Christian Bøge; Foschino, Roberto; Casiraghi, Ernestina

    2014-07-15

    This work investigates the capability of Fourier-Transform near infrared (FT-NIR) spectroscopy to monitor and assess process parameters in beer fermentation at different operative conditions. For this purpose, the fermentation of wort with two different yeast strains and at different temperatures was monitored for nine days by FT-NIR. To correlate the collected spectra with °Brix, pH and biomass, different multivariate data methodologies were applied. Principal component analysis (PCA), partial least squares (PLS) and locally weighted regression (LWR) were used to assess the relationship between FT-NIR spectra and the abovementioned process parameters that define the beer fermentation. The accuracy and robustness of the obtained results clearly show the suitability of FT-NIR spectroscopy, combined with multivariate data analysis, to be used as a quality control tool in the beer fermentation process. FT-NIR spectroscopy, when combined with LWR, demonstrates to be a perfectly suitable quantitative method to be implemented in the production of beer. Copyright © 2014 Elsevier Ltd. All rights reserved.

  10. What makes a pattern? Matching decoding methods to data in multivariate pattern analysis

    Directory of Open Access Journals (Sweden)

    Philip A Kragel

    2012-11-01

    Full Text Available Research in neuroscience faces the challenge of integrating information across different spatial scales of brain function. A promising technique for harnessing information at a range of spatial scales is multivariate pattern analysis (MVPA of functional magnetic resonance imaging (fMRI data. While the prevalence of MVPA has increased dramatically in recent years, its typical implementations for classification of mental states utilize only a subset of the information encoded in local fMRI signals. We review published studies employing multivariate pattern classification since the technique’s introduction, which reveal an extensive focus on the improved detection power that linear classifiers provide over traditional analysis techniques. We demonstrate using simulations and a searchlight approach, however, that nonlinear classifiers are capable of extracting distinct information about interactions within a local region. We conclude that for spatially localized analyses, such as searchlight and region of interest, multiple classification approaches should be compared in order to match fMRI analyses to the properties of local circuits.

  11. Integrated GIS and multivariate statistical analysis for regional scale assessment of heavy metal soil contamination: A critical review.

    Science.gov (United States)

    Hou, Deyi; O'Connor, David; Nathanail, Paul; Tian, Li; Ma, Yan

    2017-12-01

    Heavy metal soil contamination is associated with potential toxicity to humans or ecotoxicity. Scholars have increasingly used a combination of geographical information science (GIS) with geostatistical and multivariate statistical analysis techniques to examine the spatial distribution of heavy metals in soils at a regional scale. A review of such studies showed that most soil sampling programs were based on grid patterns and composite sampling methodologies. Many programs intended to characterize various soil types and land use types. The most often used sampling depth intervals were 0-0.10 m, or 0-0.20 m, below surface; and the sampling densities used ranged from 0.0004 to 6.1 samples per km 2 , with a median of 0.4 samples per km 2 . The most widely used spatial interpolators were inverse distance weighted interpolation and ordinary kriging; and the most often used multivariate statistical analysis techniques were principal component analysis and cluster analysis. The review also identified several determining and correlating factors in heavy metal distribution in soils, including soil type, soil pH, soil organic matter, land use type, Fe, Al, and heavy metal concentrations. The major natural and anthropogenic sources of heavy metals were found to derive from lithogenic origin, roadway and transportation, atmospheric deposition, wastewater and runoff from industrial and mining facilities, fertilizer application, livestock manure, and sewage sludge. This review argues that the full potential of integrated GIS and multivariate statistical analysis for assessing heavy metal distribution in soils on a regional scale has not yet been fully realized. It is proposed that future research be conducted to map multivariate results in GIS to pinpoint specific anthropogenic sources, to analyze temporal trends in addition to spatial patterns, to optimize modeling parameters, and to expand the use of different multivariate analysis tools beyond principal component analysis

  12. Prevalence of substance abuse among regular degree health science students in Sheba University College in Mekelle Town, Tigray - Ethiopia

    Directory of Open Access Journals (Sweden)

    Esietu Gebregazabher Hagos

    2016-01-01

    Full Text Available Background: Substance abuse (SA refers to the harmful or hazardous use of psychoactive substances, including alcohol and illicit drugs. The most common substances which are usually abused are alcohol and tobacco. Herein, we assessed the prevalence of SA among regular degree health science students of the Sheba University College (SUC. Materials and Methods: A cross-sectional survey was carried out among 1076 SUC students using self-administered structured questionnaire. The simple sampling technique was used to select students. Descriptive statistics, bivariate, and multivariate analysis were done. Results: The overall prevalence of “ever used substance” for at least one was 45.5%. The most commonly used drugs in descending order were alcohol (25.1%, cigarette (11.4%, and khat (9.2%. Male participants, urban setting, peer pressure, personal pleasure, and academic dissatisfaction and pocket money were highly associated with SA. Conclusion: This study showed a lower magnitude (45.6% ever use and 21% still using of SA among students' compared to other studies. Even if a considerable decrease in SA among study subjects, the creation of awareness and health education should be continued to fully combat the problem of abuse.

  13. A History of Abuse and Operative Delivery

    DEFF Research Database (Denmark)

    Schei, Berit; Lukasse, Mirjam; Ryding, Elsa Lena

    2014-01-01

    OBJECTIVE: The main aim of this study was to assess whether a history of abuse, reported during pregnancy, was associated with an operative delivery. Secondly, we assessed if the association varied according to the type of abuse and if the reported abuse had been experienced as a child or an adult...... and multinomial regression analysis were used to assess the associations. RESULTS: Among 3308 primiparous women, sexual abuse as an adult (≥ 18 years) increased the risk of an elective CS, Adjusted Odds Ratio 2.12 (1.28-3.49), and the likelihood for a non-obstetrically indicated CS, OR 3.74 (1.24-11.24). Women...... expressing current suffering from the reported adult sexual abuse had the highest risk for an elective CS, AOR 4.07 (1.46-11.3). Neither physical abuse (in adulthood or childhood sexual abuse in childhood increased the risk of any operative delivery among primiparous women. Among 3416...

  14. Effects of a Culturally Informed Intervention on Abused, Suicidal African American Women

    Science.gov (United States)

    Taha, Farah; Zhang, Huaiyu; Snead, Kara; Jones, Ashley D.; Blackmon, Brittane; Bryant, Rachel J.; Siegelman, Asher E.; Kaslow, Nadine J.

    2014-01-01

    Background This study examined 1) the relative efficacy of a culturally-sensitive empowerment group intervention (Nia) aimed at increasing three protective factors—self-esteem, hopefulness, and effectiveness of obtaining resources—versus treatment as usual (TAU) for low-income, abused African American women who recently had attempted suicide and 2) the impact of participants’ readiness to change with regard to their abusive relationship and suicidal behavior on their levels of each protective factor in the two conditions. Methods The sample included 89 African American women who reported intimate partner violence (IPV) exposure and a recent suicide attempt. Results Multivariate general linear modeling revealed that those in Nia showed greater improvements in self-esteem, but not in hopefulness or effectiveness of obtaining resources. However, significant interactions emerged in which participants that were “less ready to change” (i.e., earlier in the stages of change process) their IPV situation and suicidal behavior endorsed greater levels of hopefulness and perceived effectiveness of obtaining resources, respectively, following Nia. Conclusion Findings suggest that abused, suicidal African American women who are more reluctant initially to changing their abusive situation and suicidal behavior may benefit from even a brief, culturally-informed intervention. PMID:25403027

  15. Effects of a culturally informed intervention on abused, suicidal African American women.

    Science.gov (United States)

    Taha, Farah; Zhang, Huaiyu; Snead, Kara; Jones, Ashley D; Blackmon, Brittane; Bryant, Rachel J; Siegelman, Asher E; Kaslow, Nadine J

    2015-10-01

    This study examined (a) the relative efficacy of a culturally sensitive empowerment group intervention (Nia) aimed at increasing 3 protective factors-self-esteem, hopefulness, and effectiveness of obtaining resources-versus treatment as usual (TAU) for low-income, abused African American women who recently had attempted suicide and (b) the impact of participants' readiness to change with regard to their abusive relationship and suicidal behavior on their levels of each protective factor in the 2 conditions. The sample included 89 African American women who reported intimate partner violence (IPV) exposure and a recent suicide attempt. Multivariate general linear modeling revealed that those in Nia showed greater improvements in self-esteem, but not in hopefulness or effectiveness of obtaining resources. However, significant interactions emerged in which participants who were "less ready to change" (i.e., earlier in the stages of change process) their IPV situation and suicidal behavior endorsed greater levels of hopefulness and perceived effectiveness of obtaining resources, respectively, following Nia. Findings suggest that abused, suicidal African American women who are more reluctant initially to changing their abusive situation and suicidal behavior may benefit from even a brief, culturally informed intervention. (c) 2015 APA, all rights reserved).

  16. The Use of Soluble Transferrin Receptor in the Detection of rHuEPO abuse in Sports

    Directory of Open Access Journals (Sweden)

    Donovan McGrowder

    2010-01-01

    Full Text Available Erythropoietin (EPO increases the number of circulating erythrocytes and muscle oxygenation. The recombinant forms of EPO have indiscriminately been used by athletes, mainly in endurance sports to increase their erythrocytes concentration, thus generating a better delivery of oxygen to the muscle tissue. The administration of recombinant human erythropoietin (rHuEPO except for therapeutic use was prohibited by the International Olympic Committee (IOC and its unauthorized use considered as doping. In the last few years, a number of studies using parameters indicative of accelerated erythropoiesis have investigated a number of indirect methods for the detection of rHuEPO abuse. No single indirect marker has been found that can satisfactorily demonstrated rHuEPO misuse. Soluble transferrin receptor (sTfR is a new marker of iron status and erythropoietic activity. It has been included in multivariable blood testing models for the detection of performance enhancing EPO abuse in sports. Indirect markers of altered erythropoiesis give reliable evidence of current or discontinued rHuEPO usage. This review describes the physical, biological and pharmacokinetic properties of endogenous EPO and its recombinant form. It also discusses the available strategies for the detection of rHuEPO abuse in sports, involving the use of sTfR concentration directly or in mathematical multivariate models.

  17. Substance abuse associated with elder abuse in the United States.

    Science.gov (United States)

    Jogerst, Gerald J; Daly, Jeanette M; Galloway, Lara J; Zheng, Shimin; Xu, Yinghui

    2012-01-01

    Substance abuse by either victim or perpetrator has long been associated with violence and abuse. Sparse research is available regarding elder abuse and its association with substance abuse. The objective of this study was to evaluate the association of state-reported domestic elder abuse with regional levels of substance abuse. Census demographic and elder abuse data were sorted into substate regions to align with the substance use treatment-planning regions for 2269 US counties. From the 2269 US counties there were 229 substate regions in which there were 213,444 investigations of abuse. For the other Ns (reports and substantiations) there were fewer counties and regions. See first sentence of data analyses and first sentence of results. Elder abuse report rates ranged from .03 to .41% (80 regions), investigation rates .001 to .34% (229 regions), and substantiation rates 0 to .22% (184 regions). Elder abuse investigations and substantiations were associated with various forms of substance abuse. Higher investigation rates were significantly associated with a higher rate of any illicit drug use in the past month, a lower median household income, lower proportion of the population graduated high school, and higher population of Hispanics. Higher substantiation rates were significantly associated with higher rate of illicit drug use in the past month and higher population of Hispanics. It may be worthwhile for administrators of violence programs to pay particular attention to substance abuse among their clients and in their community's environment, especially if older persons are involved. Measures of documented elder abuse at the county level are minimal. To be able to associate substance abuse with elder abuse is a significant finding, realizing that the substance abuse can be by the victim or the perpetrator of elder abuse.

  18. Early prediction of wheat quality: analysis during grain development using mass spectrometry and multivariate data analysis

    DEFF Research Database (Denmark)

    Ghirardo, A.; Sørensen, Helle Aagaard; Petersen, M.

    2005-01-01

    Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry and multivariate data analysis have been used for the determination of wheat quality at different stages of grain development. Wheat varieties with one of two different end-use qualities (i.e. suitable or not suitable...... data analysis, offers a method that can replace the traditional rather time-consuming ones such as gel electrophoresis. This study focused on the determination of wheat quality at 15 dpa, when the grain is due for harvest 1 month later....

  19. Young adults’ personal views on child abuse

    Directory of Open Access Journals (Sweden)

    Carolina Anne Jernbro

    2017-04-01

    Full Text Available Normal 0 21 false false false SV X-NONE X-NONE Normal 0 21 false false false NO-BOK X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Vanlig tabell"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This is a qualitative study based on reports from young adults, both exposed and not exposed to child abuse. The aim of the present study has been to analyse young adults' thoughts and feelings about child abuse. The data consisted of 358 responses to an open-ended question included in a national postal questionnaire study carried out by the Swedish Committee Against Child Abuse (Kommittén mot barnmisshandel. The analysis of data involved qualitative content analysis. Four main categories emerged: children's rights, consequences of child abuse, the role of the society, and causes of child abuse. The respondents who were abused as children wrote about the experience and the psychological long-term consequences of the abuse. The psychological abuse was particularly detrimental. The sexually abused expressed feelings of shame and guilt, in particular the young men. The non-abused respondents reported primarily on more general issues. They expressed children's right to a safe childhood and they strongly believed in stricter penalties for child abusers.

  20. PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data.

    Science.gov (United States)

    Hanke, Michael; Halchenko, Yaroslav O; Sederberg, Per B; Hanson, Stephen José; Haxby, James V; Pollmann, Stefan

    2009-01-01

    Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. Here we introduce a Python-based, cross-platform, and open-source software toolbox, called PyMVPA, for the application of classifier-based analysis techniques to fMRI datasets. PyMVPA makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages. We present the framework in this paper and provide illustrative examples on its usage, features, and programmability.

  1. Multivariate missing data in hydrology - Review and applications

    Science.gov (United States)

    Ben Aissia, Mohamed-Aymen; Chebana, Fateh; Ouarda, Taha B. M. J.

    2017-12-01

    Water resources planning and management require complete data sets of a number of hydrological variables, such as flood peaks and volumes. However, hydrologists are often faced with the problem of missing data (MD) in hydrological databases. Several methods are used to deal with the imputation of MD. During the last decade, multivariate approaches have gained popularity in the field of hydrology, especially in hydrological frequency analysis (HFA). However, treating the MD remains neglected in the multivariate HFA literature whereas the focus has been mainly on the modeling component. For a complete analysis and in order to optimize the use of data, MD should also be treated in the multivariate setting prior to modeling and inference. Imputation of MD in the multivariate hydrological framework can have direct implications on the quality of the estimation. Indeed, the dependence between the series represents important additional information that can be included in the imputation process. The objective of the present paper is to highlight the importance of treating MD in multivariate hydrological frequency analysis by reviewing and applying multivariate imputation methods and by comparing univariate and multivariate imputation methods. An application is carried out for multiple flood attributes on three sites in order to evaluate the performance of the different methods based on the leave-one-out procedure. The results indicate that, the performance of imputation methods can be improved by adopting the multivariate setting, compared to mean substitution and interpolation methods, especially when using the copula-based approach.

  2. Principal Angle Enrichment Analysis (PAEA): Dimensionally Reduced Multivariate Gene Set Enrichment Analysis Tool.

    Science.gov (United States)

    Clark, Neil R; Szymkiewicz, Maciej; Wang, Zichen; Monteiro, Caroline D; Jones, Matthew R; Ma'ayan, Avi

    2015-11-01

    Gene set analysis of differential expression, which identifies collectively differentially expressed gene sets, has become an important tool for biology. The power of this approach lies in its reduction of the dimensionality of the statistical problem and its incorporation of biological interpretation by construction. Many approaches to gene set analysis have been proposed, but benchmarking their performance in the setting of real biological data is difficult due to the lack of a gold standard. In a previously published work we proposed a geometrical approach to differential expression which performed highly in benchmarking tests and compared well to the most popular methods of differential gene expression. As reported, this approach has a natural extension to gene set analysis which we call Principal Angle Enrichment Analysis (PAEA). PAEA employs dimensionality reduction and a multivariate approach for gene set enrichment analysis. However, the performance of this method has not been assessed nor its implementation as a web-based tool. Here we describe new benchmarking protocols for gene set analysis methods and find that PAEA performs highly. The PAEA method is implemented as a user-friendly web-based tool, which contains 70 gene set libraries and is freely available to the community.

  3. Insulin sensitivity in relation to fat distribution and plasma adipocytokines among abusers of anabolic androgenic steroids.

    Science.gov (United States)

    Rasmussen, Jon Jarløv; Schou, Morten; Selmer, Christian; Johansen, Marie Louise; Gustafsson, Finn; Frystyk, Jan; Dela, Flemming; Faber, Jens; Kistorp, Caroline

    2017-09-01

    Abuse of anabolic androgenic steroids (AAS) is prevalent among young men, but information regarding effects on insulin sensitivity and fat distribution is limited. The objective was to investigate insulin sensitivity in relation to fat distribution and adipocytokines among current and former AAS abusers compared with controls. Cross-sectional study among men involved in recreational strength training. Current and former AAS abusers (n=37 and n=33) and controls (n=30) volunteered from the community. We assessed insulin sensitivity by Matsuda index (oral glucose tolerance test). Using overnight fasting blood samples, adiponectin and leptin were measured. Body composition and fat distribution, including visceral adipose tissue (VAT), were assessed by dual energy X-ray absorptiometry. Current and former AAS abusers displayed lower Matsuda index than controls (%-difference (95%CI) from controls, -26% (-45; -1) and -39% (-55; -18)). Testosterone was markedly higher among current AAS abusers and subnormal among former AAS abusers compared with controls. Current AAS abusers displayed higher mean VAT than controls (388 (17) vs 293 (12) cm 3 , P<.001) whereas body fat %, adiponectin and leptin concentrations were lower. In contrast, former AAS abusers showed highest leptin concentrations and body fat %. Multivariate linear regressions identified VAT as independent predictor of lower Matsuda index among current AAS abusers compared with controls; while body fat % independently predicted lower Matsuda index among former AAS abusers. Both current and former AAS abusers displayed lower insulin sensitivity which could be mediated by higher VAT and total body fat %, respectively. © 2017 John Wiley & Sons Ltd.

  4. Reduction of the dimensionality and comparative analysis of multivariate radiological data

    International Nuclear Information System (INIS)

    Seddeek, M.K.; Kozae, A.M.; Sharshar, T.; Badran, H.M.

    2009-01-01

    Computational methods were used to reduce the dimensionality and to find clusters of multivariate data. The variables were the natural radioactivity contents and the texture characteristics of sand samples. The application of discriminate analysis revealed that samples with high negative values of the former score have the highest contamination with black sand. Principal component analysis (PCA) revealed that radioactivity concentrations alone are sufficient for the classification. Rough set analysis (RSA) showed that the concentration of 238 U, 226 Ra or 232 Th, combined with the concentration of 40 K, can specify the clusters and characteristics of the sand. Both PCA and RSA show that 238 U, 226 Ra and 232 Th behave similarly. RSA revealed that one or two of them can be omitted without degrading predictions.

  5. A Novel and Effective Multivariate Method for Compositional Analysis using Laser Induced Breakdown Spectroscopy

    International Nuclear Information System (INIS)

    Wang, W; Qi, H; Ayhan, B; Kwan, C; Vance, S

    2014-01-01

    Compositional analysis is important to interrogate spectral samples for direct analysis of materials in agriculture, environment and archaeology, etc. In this paper, multi-variate analysis (MVA) techniques are coupled with laser induced breakdown spectroscopy (LIBS) to estimate quantitative elemental compositions and determine the type of the sample. In particular, we present a new multivariate analysis method for composition analysis, referred to as s pectral unmixing . The LIBS spectrum of a testing sample is considered as a linear mixture with more than one constituent signatures that correspond to various chemical elements. The signature library is derived from regression analysis using training samples or is manually set up with the information from an elemental LIBS spectral database. A calibration step is used to make all the signatures in library to be homogeneous with the testing sample so as to avoid inhomogeneous signatures that might be caused by different sampling conditions. To demonstrate the feasibility of the proposed method, we compare it with the traditional partial least squares (PLS) method and the univariate method using a standard soil data set with elemental concentration measured a priori. The experimental results show that the proposed method holds great potential for reliable and effective elemental concentration estimation

  6. sexual abuse of children as a form of power abuse and abuse of the

    African Journals Online (AJOL)

    This article investigates the relationship between sexual abuse, power and the body from a Catholic ... Some researchers recognize that power also plays a role in sexual abuse, but this abuse of ..... Gender, power, and organizational culture.

  7. Multivariate factor analysis of Girgentana goat milk composition

    Directory of Open Access Journals (Sweden)

    Pietro Giaccone

    2010-01-01

    Full Text Available The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of  correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs  to the multivariate groups; for our study this particular statistical approach was employed.  A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July,  and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the  normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.48±0.38% for fat  and protein percentages, respectively. The milk urea content was 43.70 ± 8.28 mg/dl. The clotting ability of Girgentana  milk was quite good, with a renneting time equal to 16.96 ± 3.08 minutes, a rate of curd formation of 2.01 ± 1.63 min-  utes and a curd firmness of 25.08 ± 7.67 millimetres.  Factor analysis was performed by applying axis orthogonal rotation (rotation type VARIMAX; the analysis grouped the  milk components into three latent or common factors. The first, which explained 51.2% of the total covariance, was  defined as “slow milks”, because it was linked to r and pH. The second latent factor, which explained 36.2% of the total  covariance, was defined as “milk yield”, because it is positively correlated to the morning milk yield and to the urea con-  tent, whilst negatively correlated to the fat percentage. The third latent factor, which explained 12.6% of the total covari-  ance, was defined as “curd firmness,” because it is linked to protein percentage, a30 and titatrable acidity. With the aim  of evaluating the influence of environmental effects (stage of kidding, parity and type of kidding, factor scores were anal-  ysed with the mixed linear model. Results showed significant effects of the season of

  8. A multivariate analysis of Antarctic sea ice since 1979

    Energy Technology Data Exchange (ETDEWEB)

    Magalhaes Neto, Newton de; Evangelista, Heitor [Universidade do Estado do Rio de Janeiro (Uerj), LARAMG - Laboratorio de Radioecologia e Mudancas Globais, Maracana, Rio de Janeiro, RJ (Brazil); Tanizaki-Fonseca, Kenny [Universidade do Estado do Rio de Janeiro (Uerj), LARAMG - Laboratorio de Radioecologia e Mudancas Globais, Maracana, Rio de Janeiro, RJ (Brazil); Universidade Federal Fluminense (UFF), Dept. Analise Geoambiental, Inst. de Geociencias, Niteroi, RJ (Brazil); Penello Meirelles, Margareth Simoes [Universidade do Estado do Rio de Janeiro (UERJ)/Geomatica, Maracana, Rio de Janeiro, RJ (Brazil); Garcia, Carlos Eiras [Universidade Federal do Rio Grande (FURG), Laboratorio de Oceanografia Fisica, Rio Grande, RS (Brazil)

    2012-03-15

    Recent satellite observations have shown an increase in the total extent of Antarctic sea ice, during periods when the atmosphere and oceans tend to be warmer surrounding a significant part of the continent. Despite an increase in total sea ice, regional analyses depict negative trends in the Bellingshausen-Amundsen Sea and positive trends in the Ross Sea. Although several climate parameters are believed to drive the formation of Antarctic sea ice and the local atmosphere, a descriptive mechanism that could trigger such differences in trends are still unknown. In this study we employed a multivariate analysis in order to identify the response of the Antarctic sea ice with respect to commonly utilized climate forcings/parameters, as follows: (1) The global air surface temperature, (2) The global sea surface temperature, (3) The atmospheric CO{sub 2} concentration, (4) The South Annular Mode, (5) The Nino 3, (6) The Nino (3 + 4, 7) The Nino 4, (8) The Southern Oscillation Index, (9) The Multivariate ENSO Index, (10) the Total Solar Irradiance, (11) The maximum O{sub 3} depletion area, and (12) The minimum O{sub 3} concentration over Antarctica. Our results indicate that western Antarctic sea ice is simultaneously impacted by several parameters; and that the minimum, mean, and maximum sea ice extent may respond to a separate set of climatic/geochemical parameters. (orig.)

  9. [Drug abuse in adolescent offenders: analysis of the psychosocial variables involved].

    Science.gov (United States)

    Contreras Martínez, Lourdes; Molina Banqueri, Virginia; Cano Lozano, Ma Carmen

    2012-01-01

    Research shows that drugs and delinquency are frequently linked, the abuse of various types of substance being a widespread practice among young offenders. At the same time, some psychosocial characteristics are associated with both drug abuse and criminal/antisocial behavior. To help us explore the relationship between young offenders' drug abuse and certain psychosocial variables, we examined closed judicial files on young offenders from the Juvenile Justice Service in Jaen (Spain) corresponding to the period 2001 to 2010. From the contents of these judicial files we analyzed demographic variables such as gender and age, as well as psychosocial variables such as drug abuse, peer group, violent behavior, self-control, tolerance to frustration and attributional style. The results show that most of the young offenders use some type of drug, as well as revealing differential patterns of use according to gender. Also observed is a link between drug abuse and deviant peer group, violent behavior and the above-mentioned psychological variables. Finally, we found some differences in these psychological variables depending on the type of drug used.

  10. Emerging drugs of abuse.

    Science.gov (United States)

    Nelson, Michael E; Bryant, Sean M; Aks, Steven E

    2014-02-01

    Many new emerging drugs of abuse are marketed as legal highs despite being labeled "not for human consumption" to avoid regulation. The availability of these substances over the Internet and in "head shops" has lead to a multitude of emergency department visits with severe complications including deaths worldwide. Despite recent media attention, many of the newer drugs of abuse are still largely unknown by health care providers. Slight alterations of the basic chemical structure of substances create an entirely new drug no longer regulated by current laws and an ever-changing landscape of clinical effects. The purity of each substance with exact pharmacokinetic and toxicity profiles is largely unknown. Many of these substances can be grouped by the class of drug and includes synthetic cannabinoids, synthetic cathinones, phenethylamines, as well as piperazine derivatives. Resultant effects generally include psychoactive and sympathomimetic-like symptoms. Additionally, prescription medications, performance enhancing medications, and herbal supplements are also becoming more commonly abused. Most new drugs of abuse have no specific antidote and management largely involves symptom based goal directed supportive care with benzodiazepines as a useful adjunct. This paper will focus on the history, epidemiology, clinical effects, laboratory analysis, and management strategy for many of these emerging drugs of abuse. Copyright © 2014 Elsevier Inc. All rights reserved.

  11. Regression Analysis for Multivariate Dependent Count Data Using Convolved Gaussian Processes

    OpenAIRE

    Sofro, A'yunin; Shi, Jian Qing; Cao, Chunzheng

    2017-01-01

    Research on Poisson regression analysis for dependent data has been developed rapidly in the last decade. One of difficult problems in a multivariate case is how to construct a cross-correlation structure and at the meantime make sure that the covariance matrix is positive definite. To address the issue, we propose to use convolved Gaussian process (CGP) in this paper. The approach provides a semi-parametric model and offers a natural framework for modeling common mean structure and covarianc...

  12. Predictors of nurses' experience of verbal abuse by nurse colleagues.

    Science.gov (United States)

    Keller, Ronald; Krainovich-Miller, Barbara; Budin, Wendy; Djukic, Maja

    Between 45% and 94% of registered nurses (RNs) experience verbal abuse, which is associated with physical and psychological harm. Although several studies examined predictors of RNs' verbal abuse, none examined predictors of RNs' experiences of verbal abuse by RN colleagues. To examine individual, workplace, dispositional, contextual, and interpersonal predictors of RNs' reported experiences of verbal abuse from RN colleagues. In this secondary analysis, a cross-sectional design with multiple linear regression analysis was used to examine the effect of 23 predictors on verbal abuse by RN colleagues in a sample of 1,208 early career RNs. Selected variables in the empirical intragroup conflict model explained 23.8% of variance in RNs' experiences of verbal abuse by RN colleagues. A number of previously unstudied factors were identified that organizational leaders can monitor and develop or modify policies to prevent early career RNs' experiences of verbal abuse by RN colleagues. Copyright © 2017 Elsevier Inc. All rights reserved.

  13. A comparison of multivariate genome-wide association methods

    DEFF Research Database (Denmark)

    Galesloot, Tessel E; Van Steen, Kristel; Kiemeney, Lambertus A L M

    2014-01-01

    Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a multivariate GWAS, offers several advantages over analyzing each trait in a separate GWAS. In this study we directly compared a number of multivariate GWAS methods using simulated data. We focused on six...... methods that are implemented in the software packages PLINK, SNPTEST, MultiPhen, BIMBAM, PCHAT and TATES, and also compared them to standard univariate GWAS, analysis of the first principal component of the traits, and meta-analysis of univariate results. We simulated data (N = 1000) for three...... for scenarios with an opposite sign of genetic and residual correlation. All multivariate analyses resulted in a higher power than univariate analyses, even when only one of the traits was associated with the QTL. Hence, use of multivariate GWAS methods can be recommended, even when genetic correlations between...

  14. Multivariate two-part statistics for analysis of correlated mass spectrometry data from multiple biological specimens.

    Science.gov (United States)

    Taylor, Sandra L; Ruhaak, L Renee; Weiss, Robert H; Kelly, Karen; Kim, Kyoungmi

    2017-01-01

    High through-put mass spectrometry (MS) is now being used to profile small molecular compounds across multiple biological sample types from the same subjects with the goal of leveraging information across biospecimens. Multivariate statistical methods that combine information from all biospecimens could be more powerful than the usual univariate analyses. However, missing values are common in MS data and imputation can impact between-biospecimen correlation and multivariate analysis results. We propose two multivariate two-part statistics that accommodate missing values and combine data from all biospecimens to identify differentially regulated compounds. Statistical significance is determined using a multivariate permutation null distribution. Relative to univariate tests, the multivariate procedures detected more significant compounds in three biological datasets. In a simulation study, we showed that multi-biospecimen testing procedures were more powerful than single-biospecimen methods when compounds are differentially regulated in multiple biospecimens but univariate methods can be more powerful if compounds are differentially regulated in only one biospecimen. We provide R functions to implement and illustrate our method as supplementary information CONTACT: sltaylor@ucdavis.eduSupplementary information: Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  15. Multivariate statistical pattern recognition system for reactor noise analysis

    International Nuclear Information System (INIS)

    Gonzalez, R.C.; Howington, L.C.; Sides, W.H. Jr.; Kryter, R.C.

    1976-01-01

    A multivariate statistical pattern recognition system for reactor noise analysis was developed. The basis of the system is a transformation for decoupling correlated variables and algorithms for inferring probability density functions. The system is adaptable to a variety of statistical properties of the data, and it has learning, tracking, and updating capabilities. System design emphasizes control of the false-alarm rate. The ability of the system to learn normal patterns of reactor behavior and to recognize deviations from these patterns was evaluated by experiments at the ORNL High-Flux Isotope Reactor (HFIR). Power perturbations of less than 0.1 percent of the mean value in selected frequency ranges were detected by the system

  16. Multivariate statistical pattern recognition system for reactor noise analysis

    International Nuclear Information System (INIS)

    Gonzalez, R.C.; Howington, L.C.; Sides, W.H. Jr.; Kryter, R.C.

    1975-01-01

    A multivariate statistical pattern recognition system for reactor noise analysis was developed. The basis of the system is a transformation for decoupling correlated variables and algorithms for inferring probability density functions. The system is adaptable to a variety of statistical properties of the data, and it has learning, tracking, and updating capabilities. System design emphasizes control of the false-alarm rate. The ability of the system to learn normal patterns of reactor behavior and to recognize deviations from these patterns was evaluated by experiments at the ORNL High-Flux Isotope Reactor (HFIR). Power perturbations of less than 0.1 percent of the mean value in selected frequency ranges were detected by the system. 19 references

  17. Childhood Sexual Abuse

    Directory of Open Access Journals (Sweden)

    Evrim Aktepe

    2009-08-01

    Full Text Available Sexual abuse is defined as use of child or adolescent by the adults for satisfying of sexual urges and needs with forcing, threatening or tricking. Sexual abuse can be in the form of sexual abuse without touch, sexual touch, interfemoral intercourse, sexual penetration, and sexual exploitation. The prevalence of sexual abuse is reported as 10-40%. It is seen in female four times more than in males. Abusers are frequently male, only 5-15% of them are female. The abuse by females is usually towards male child. Thirty-fifty percent of abuse cases among child and adolescent are outside the family including strangers or familiar person. Some features of abusers are introvert personality, pedophilic and antisocial personality. Most of the abusers have a history of sexual abuse or aggression during childhood. Sexual intercourse between two people who are not allowed to marry by law is called as incest. Family pattern of incest is defined globally as disorganized and dysfunctional. The most commonly reported familial pattern is rigid and patriarchal family pattern with a harsh father using force quite frequently. The clinical features and impacts of the sexual abuse on the child varies according to the relation between abusers and the child, form of abuse, duration of abuse, presence of physical assault, developmental phase, child age and psychological development before the abuse. Sexual abuse history may result in psychiatric disorders including anxiety, depression, substance dependence, suicide act, borderline personality disorder, posttraumatic stress disorder. Abuse negatively affects interpersonal relationships and self esteem of abused individuals. Several studies reported close association between risky sexual behaviors in adulthood and a history of of sexual abuse during childhood. Four traumatic dynamics including traumatic sexuality with abuse, feeling of betrayal, weakness, and stigmatization exist in childhood abuse. Trauma can cause

  18. Multivariate survivorship analysis using two cross-sectional samples.

    Science.gov (United States)

    Hill, M E

    1999-11-01

    As an alternative to survival analysis with longitudinal data, I introduce a method that can be applied when one observes the same cohort in two cross-sectional samples collected at different points in time. The method allows for the estimation of log-probability survivorship models that estimate the influence of multiple time-invariant factors on survival over a time interval separating two samples. This approach can be used whenever the survival process can be adequately conceptualized as an irreversible single-decrement process (e.g., mortality, the transition to first marriage among a cohort of never-married individuals). Using data from the Integrated Public Use Microdata Series (Ruggles and Sobek 1997), I illustrate the multivariate method through an investigation of the effects of race, parity, and educational attainment on the survival of older women in the United States.

  19. Substance Abuse and the American Woman.

    Science.gov (United States)

    Columbia Univ., New York, NY. National Center on Addiction and Substance Abuse.

    The first comprehensive assessment of substance abuse and women, this report arose from an analysis of more than 1,700 scientific and technical articles, surveys, government reports and books. Results show that American women are closing the gap with men in that they are increasingly likely to abuse substances at the same rate as men. Findings…

  20. Evaluation of functional outcome of the floating knee injury using multivariate analysis.

    Science.gov (United States)

    Yokoyama, Kazuhiko; Tsukamoto, Tatsuro; Aoki, Shinichi; Wakita, Ryuji; Uchino, Masataka; Noumi, Takashi; Fukushima, Nobuaki; Itoman, Moritoshi

    2002-11-01

    The objective of this study is to evaluate significant contributing factors affecting the functional prognosis of floating knee injuries using multivariate analysis. A total of 68 floating knee injuries (67 patients) were treated at Kitasato University Hospital from 1986 to 1999. Both the femoral fractures and the tibial fractures were managed surgically by various methods. The functional results of these injuries were evaluated using the grading system of Karlström and Olerud. Follow-up periods ranged from 2 to 19 years (mean 50.2 months) after the original injury. We defined satisfactory (S) outcomes as those cases with excellent or good results and unsatisfactory (US) outcomes as those cases with acceptable or poor results. Logistic regression analysis was used as a multivariate analysis, and the dependent variables were defined as a satisfactory outcome or as an unsatisfactory outcome. The explanatory variables were predicting factors influencing the functional outcome such as age at trauma, gender, severity of soft-tissue injury in the femur and the tibia, AO fracture grade in the femur and the tibia, Fraser type (type I or type II), Injury Severity Score (ISS), and fixation time after injury (less than 1 week or more than 1 week) in the femur and the tibia. The final functional results were as follows: 25 cases had excellent results, 15 cases good results, 16 cases acceptable results, and 12 cases poor results. The predictive logistic regression equation was as follows: Log 1-p/p = 3.12-1.52 x Fraser type - 1.65 x severity of soft-tissue injury in the tibia - 1.31 x fixation time after injury in the tibia - 0.821 x AO fracture grade in the tibia + 1.025 x fixation time after injury in the femur - 0.687 x AO fracture grade in the femur ( p=0.01). Among the variables, Fraser type and the severity of soft-tissue injury in the tibia were significantly related to the final result. The multivariate analysis showed that both the involvement of the knee joint and

  1. Application of instrumental neutron activation analysis and multivariate statistical methods to archaeological Syrian ceramics

    International Nuclear Information System (INIS)

    Bakraji, E. H.; Othman, I.; Sarhil, A.; Al-Somel, N.

    2002-01-01

    Instrumental neutron activation analysis (INAA) has been utilized in the analysis of thirty-seven archaeological ceramics fragment samples collected from Tal AI-Wardiate site, Missiaf town, Hamma city, Syria. 36 chemical elements were determined. These elemental concentrations have been processed using two multivariate statistical methods, cluster and factor analysis in order to determine similarities and correlation between the various samples. Factor analysis confirms that samples were correctly classified by cluster analysis. The results showed that samples can be considered to be manufactured using three different sources of raw material. (author)

  2. Multivariate analysis of heavy metal contamination using river sediment cores of Nankan River, northern Taiwan

    Science.gov (United States)

    Lee, An-Sheng; Lu, Wei-Li; Huang, Jyh-Jaan; Chang, Queenie; Wei, Kuo-Yen; Lin, Chin-Jung; Liou, Sofia Ya Hsuan

    2016-04-01

    Through the geology and climate characteristic in Taiwan, generally rivers carry a lot of suspended particles. After these particles settled, they become sediments which are good sorbent for heavy metals in river system. Consequently, sediments can be found recording contamination footprint at low flow energy region, such as estuary. Seven sediment cores were collected along Nankan River, northern Taiwan, which is seriously contaminated by factory, household and agriculture input. Physico-chemical properties of these cores were derived from Itrax-XRF Core Scanner and grain size analysis. In order to interpret these complex data matrices, the multivariate statistical techniques (cluster analysis, factor analysis and discriminant analysis) were introduced to this study. Through the statistical determination, the result indicates four types of sediment. One of them represents contamination event which shows high concentration of Cu, Zn, Pb, Ni and Fe, and low concentration of Si and Zr. Furthermore, three possible contamination sources of this type of sediment were revealed by Factor Analysis. The combination of sediment analysis and multivariate statistical techniques used provides new insights into the contamination depositional history of Nankan River and could be similarly applied to other river systems to determine the scale of anthropogenic contamination.

  3. A method of signal transmission path analysis for multivariate random processes

    International Nuclear Information System (INIS)

    Oguma, Ritsuo

    1984-04-01

    A method for noise analysis called ''STP (signal transmission path) analysis'' is presentd as a tool to identify noise sources and their propagation paths in multivariate random proceses. Basic idea of the analysis is to identify, via time series analysis, effective network for the signal power transmission among variables in the system and to make use of its information to the noise analysis. In the present paper, we accomplish this through two steps of signal processings; first, we estimate, using noise power contribution analysis, variables which have large contribution to the power spectrum of interest, and then evaluate the STPs for each pair of variables to identify STPs which play significant role for the generated noise to transmit to the variable under evaluation. The latter part of the analysis is executed through comparison of partial coherence function and newly introduced partial noise power contribution function. This paper presents the procedure of the STP analysis and demonstrates, using simulation data as well as Borssele PWR noise data, its effectiveness for investigation of noise generation and propagation mechanisms. (author)

  4. Biodegradable blends of starch/polyvinyl alcohol/glycerol: multivariate analysis of the mechanical properties

    Directory of Open Access Journals (Sweden)

    Juliano Zanela

    Full Text Available Abstract The aim of the work was to study the mechanical properties of extruded starch/polyvinyl alcohol (PVA/glycerol biodegradable blends using multivariate analysis. The blends were produced as cylindrical strands by extrusion using PVAs with different hydrolysis degrees and viscosities, at two extrusion temperature profiles (90/170/170/170/170 °C and 90/170/200/200/200 °C and three conditioning relative humidities of the samples (33, 53, and 75%. The mechanical properties showed a great variability according to PVA type, as well as the extrusion temperature profile and the conditioning relative humidity; the tensile strength ranged from 0.42 to 5.40 MPa, elongation at break ranged from 10 to 404% and Young’s modulus ranged from 0.93 to 13.81 MPa. The multivariate analysis was a useful methodology to study the mechanical properties behavior of starch/PVA/glycerol blends, and it can be used as an exploratory technique to select of the more suitable PVA type and extrusion temperature to produce biodegradable materials.

  5. Dynamic factor analysis in the frequency domain: causal modeling of multivariate psychophysiological time series

    NARCIS (Netherlands)

    Molenaar, P.C.M.

    1987-01-01

    Outlines a frequency domain analysis of the dynamic factor model and proposes a solution to the problem of constructing a causal filter of lagged factor loadings. The method is illustrated with applications to simulated and real multivariate time series. The latter applications involve topographic

  6. Principal response curves: analysis of time-dependent multivariate responses of biological community to stress

    NARCIS (Netherlands)

    Brink, van den P.J.; Braak, ter C.J.F.

    1999-01-01

    In this paper a novel multivariate method is proposed for the analysis of community response data from designed experiments repeatedly sampled in time. The long-term effects of the insecticide chlorpyrifos on the invertebrate community and the dissolved oxygen (DO)–pH–alkalinity–conductivity

  7. Prescription Drug Abuse

    Science.gov (United States)

    ... drug abuse. And it's illegal, just like taking street drugs. Why Do People Abuse Prescription Drugs? Some people abuse prescription drugs ... common risk of prescription drug abuse is addiction . People who abuse ... as if they were taking street drugs. That's one reason most doctors won't ...

  8. Morphological analysis of enlarged ventricle on CT image, using multivariate analysis

    International Nuclear Information System (INIS)

    Iwasaki, Satoru; Kichikawa, Kimihiko; Otsuji, Hideyuki; Fukusumi, Akio; Kobayashi, Yasuo.

    1983-01-01

    Multivariate analysis of enlarged cerebral ventricle on CT was undertaken to study the characteristics of ventricular morphology. Several ventricular segments of enlarged ventricle, defined on the basis of the study of normal group, were linearly measured on CT image. Then the discriminant analysis with the increase and decrease of variable was applied. The following are the results obtained. The error ratio of discrimination between pressure hydrocephalus and cerebral atrophy was 8.4 %, and between obstructive hydrocephalus and communicating hydrocephalus was 11.3 %. Ventricular segments were divided into three groups according to their character of enlargement: (1) the temporal horn and trigone are large in pressure hydrocephalus; (2) the hypothalamic segment of the third ventricle and the body of lateral ventricle are larger in obstructive hydrocephalus than in communicating hydrocephalus; (3) the anterior horn, cellae mediae at the level of the head of caudate nuclei and thalamic segment of the third ventricle are relatively large in cerebral atrophy and communicating hydrocephalus. The hypothalamic segment of the third ventricle assumes a round or oval shape in pressure hydrocephalus but a rectangular or teardrop shape in cerebral atrophy. These findings are contributory to pathological evaluation of ventricular enlargement. (author)

  9. Multivariate analysis for customer segmentation based on RFM

    Directory of Open Access Journals (Sweden)

    Álvaro Julio Cuadros López

    2018-02-01

    Full Text Available Context: To build a successful relationship management (CRM, companies must start with the identification of the true value of customers, as this provides basic information to implement more targeted and customized marketing strategies. The RFM methodology, a classic analysis tool that uses three evaluation parameters, allows companies to understand customer behavior, and to establish customer segments. The addition of a new parameter in the traditional technique is an opportunity to refine the possible outcomes of a customer segmentation since it not only provides a new element of evaluation to identify the most valuable customers, but it also makes it possible to differentiate and get to know customers even better. Method: The article presents a methodology that allows to establish customer segments using an extended RFM method with new variables, selected through multivariate analysis..  Results: The proposed implementation was applied in a company in which variables such as profit, profit percentage, and billing due date were tested. Therefore, it was possible to establish a more detailed customer segmentation than with the classic RFM. Conclusions: the RFM analysis is a method widely used in the industry for its easy understanding and applicability. However, it can be improved with the use of statistical procedures and new variables, which will allow companies to have deeper information about the behavior of the clients, and will facilitate the design of specific marketing strategies.

  10. Drug Abuse

    Science.gov (United States)

    ... Cocaine Heroin Inhalants Marijuana Prescription drugs, including opioids Drug abuse also plays a role in many major social problems, such as drugged driving, violence, stress, and child abuse. Drug abuse can lead to ...

  11. Multivariate pattern analysis of MEG and EEG: A comparison of representational structure in time and space.

    Science.gov (United States)

    Cichy, Radoslaw Martin; Pantazis, Dimitrios

    2017-09-01

    Multivariate pattern analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG and EEG have systematic differences in sampling neural activity. This poses the question to which degree such measurement differences consistently bias the results of multivariate analysis applied to MEG and EEG activation patterns. To investigate, we conducted a concurrent MEG/EEG study while participants viewed images of everyday objects. We applied multivariate classification analyses to MEG and EEG data, and compared the resulting time courses to each other, and to fMRI data for an independent evaluation in space. We found that both MEG and EEG revealed the millisecond spatio-temporal dynamics of visual processing with largely equivalent results. Beyond yielding convergent results, we found that MEG and EEG also captured partly unique aspects of visual representations. Those unique components emerged earlier in time for MEG than for EEG. Identifying the sources of those unique components with fMRI, we found the locus for both MEG and EEG in high-level visual cortex, and in addition for MEG in low-level visual cortex. Together, our results show that multivariate analyses of MEG and EEG data offer a convergent and complimentary view on neural processing, and motivate the wider adoption of these methods in both MEG and EEG research. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. Multivariate Analysis Approach to the Serum Peptide Profile of Morbidly Obese Patients

    Directory of Open Access Journals (Sweden)

    M. Agostini

    2013-01-01

    Full Text Available Background: Obesity is currently epidemic in many countries worldwide and is strongly related to diabetes and cardiovascular disease. Mass spectrometry, in particular matrix-assisted laser desorption/ionization time of flight (MALDI-TOF is currently used for detecting different pattern of expressed protein. This study investigated the differences in low molecular weight (LMW peptide profiles between obese and normal-weight subjects in combination with multivariate statistical analysis.

  13. Probing beer aging chemistry by nuclear magnetic resonance and multivariate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Rodrigues, J.A. [CICECO-Department of Chemistry, University of Aveiro, Campus de Santiago, 3810-193 Aveiro (Portugal); Barros, A.S. [QOPNA-Department of Chemistry, University of Aveiro, Campus de Santiago, 3810-193 Aveiro (Portugal); Carvalho, B.; Brandao, T. [UNICER, Bebidas de Portugal, Leca do Balio, 4466-955, S. Mamede de Infesta (Portugal); Gil, Ana M., E-mail: agil@ua.pt [CICECO-Department of Chemistry, University of Aveiro, Campus de Santiago, 3810-193 Aveiro (Portugal)

    2011-09-30

    Graphical abstract: The use of nuclear magnetic resonance (NMR) metabonomics for monitoring the chemical changes occurring in beer exposed to forced aging (at 45 deg. C for up to 18 days) is described. Both principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to the NMR spectra of beer recorded as a function of aging and an aging trend was observed. Inspection of PLS-DA loadings and peak integration revealed the importance of well known markers (e.g. 5-HMF) as well as of other compounds: amino acids, higher alcohols, organic acids, dextrins and some still unassigned spin systems. 2D correlation analysis enabled relevant compound variations to be confirmed and inter-compound correlations to be assessed, thus offering improved insight into the chemical aspects of beer aging. Highlights: {center_dot} Use of NMR metabonomics for monitoring the chemical changes occurring in beer exposed to forced aging. {center_dot} Compositional variations evaluated by principal component analysis and partial least squares-discriminant analysis. {center_dot} Results reveal importance of known markers and other compounds: amino and organic acids, higher alcohols, dextrins. {center_dot} 2D correlation analysis reveals inter-compound relationships, offering insight into beer aging chemistry. - Abstract: This paper describes the use of nuclear magnetic resonance (NMR) spectroscopy, in tandem with multivariate analysis (MVA), for monitoring the chemical changes occurring in a lager beer exposed to forced aging (at 45 deg. C for up to 18 days). To evaluate the resulting compositional variations, both principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to the NMR spectra of beer recorded as a function of aging and a clear aging trend was observed. Inspection of PLS-DA loadings and peak integration enabled the changing compounds to be identified, revealing the importance of well known

  14. Probing beer aging chemistry by nuclear magnetic resonance and multivariate analysis

    International Nuclear Information System (INIS)

    Rodrigues, J.A.; Barros, A.S.; Carvalho, B.; Brandao, T.; Gil, Ana M.

    2011-01-01

    Graphical abstract: The use of nuclear magnetic resonance (NMR) metabonomics for monitoring the chemical changes occurring in beer exposed to forced aging (at 45 deg. C for up to 18 days) is described. Both principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to the NMR spectra of beer recorded as a function of aging and an aging trend was observed. Inspection of PLS-DA loadings and peak integration revealed the importance of well known markers (e.g. 5-HMF) as well as of other compounds: amino acids, higher alcohols, organic acids, dextrins and some still unassigned spin systems. 2D correlation analysis enabled relevant compound variations to be confirmed and inter-compound correlations to be assessed, thus offering improved insight into the chemical aspects of beer aging. Highlights: · Use of NMR metabonomics for monitoring the chemical changes occurring in beer exposed to forced aging. · Compositional variations evaluated by principal component analysis and partial least squares-discriminant analysis. · Results reveal importance of known markers and other compounds: amino and organic acids, higher alcohols, dextrins. · 2D correlation analysis reveals inter-compound relationships, offering insight into beer aging chemistry. - Abstract: This paper describes the use of nuclear magnetic resonance (NMR) spectroscopy, in tandem with multivariate analysis (MVA), for monitoring the chemical changes occurring in a lager beer exposed to forced aging (at 45 deg. C for up to 18 days). To evaluate the resulting compositional variations, both principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to the NMR spectra of beer recorded as a function of aging and a clear aging trend was observed. Inspection of PLS-DA loadings and peak integration enabled the changing compounds to be identified, revealing the importance of well known markers such as 5-hydroxymethylfurfural (5

  15. Synthetic environmental indicators: A conceptual approach from the multivariate statistics

    International Nuclear Information System (INIS)

    Escobar J, Luis A

    2008-01-01

    This paper presents a general description of multivariate statistical analysis and shows two methodologies: analysis of principal components and analysis of distance, DP2. Both methods use techniques of multivariate analysis to define the true dimension of data, which is useful to estimate indicators of environmental quality.

  16. Motivation and Self-Regulated Learning: A Multivariate Multilevel Analysis

    Directory of Open Access Journals (Sweden)

    Wondimu Ahmed

    2017-09-01

    Full Text Available This study investigated the relationship between motivation and self-regulated learning (SRL in a nationally representative sample of 5245, 15-year-old students in the USA. A multivariate multilevel analysis was conducted to examine the role of three motivational variables (self-efficacy, intrinsic value & instrumental value in predicting three SRL strategies (memorization, elaboration & control. The results showed that compared to self-efficacy, intrinsic value and instrumental value of math were stronger predictors of memorization, elaboration and control strategies. None of the motivational variables had a stronger effect on one strategy than the other. The findings suggest that the development of self-regulatory skills in math can be greatly enhanced by helping students develop positive value of and realistic expectancy for success in math.

  17. Alexithymia in Egyptian Substance Abusers.

    Science.gov (United States)

    El Rasheed, Amany Haroun

    2001-03-01

    Alexithymia is thought of as a trait that predisposes to drug abuse. Moreover, it is suggested to be related to type of the substance abused, with the worst-case scenario including a worse prognosis as well as tendency to relapse or even not to seek treatment at all. To address this important subject in Egyptian patients, a sample of 200 Egyptian substance abusers was randomly selected from inpatients in the Institute of Psychiatry, Ain Shams University, Egypt. The study also included 200 group-matched controls. DSM-IV criteria were used for assessment of substance use disorders, and toxicologic urine analysis was used to confirm the substances of abuse. Toronto Alexithymia Scale (TAS)-Arabic version was used for assessment of alexithymia. It was found that alexithymia was significantly more prevalent in the substance use disorders group as compared to healthy controls. It was also found that among the substance use disorders group, alexithymics reported more polysubstance abuse, more opiate use (other than heroin IV), lower numbers of hospitalizations, lower numbers of reported relapses, and a lower tendency to relapse as a result of internal cues compared to patients without alexithymia. Statistically significant associations were also found between alexithymia and more benzodiazepine abuse and nonpersistence in treatment. The results suggest that alexithymia should be targeted in a treatment setting for substance use disorders.

  18. Multivariate co-integration analysis of the Kaya factors in Ghana.

    Science.gov (United States)

    Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa

    2016-05-01

    The fundamental goal of the Government of Ghana's development agenda as enshrined in the Growth and Poverty Reduction Strategy to grow the economy to a middle income status of US$1000 per capita by the end of 2015 could be met by increasing the labour force, increasing energy supplies and expanding the energy infrastructure in order to achieve the sustainable development targets. In this study, a multivariate co-integration analysis of the Kaya factors namely carbon dioxide, total primary energy consumption, population and GDP was investigated in Ghana using vector error correction model with data spanning from 1980 to 2012. Our research results show an existence of long-run causality running from population, GDP and total primary energy consumption to carbon dioxide emissions. However, there is evidence of short-run causality running from population to carbon dioxide emissions. There was a bi-directional causality running from carbon dioxide emissions to energy consumption and vice versa. In other words, decreasing the primary energy consumption in Ghana will directly reduce carbon dioxide emissions. In addition, a bi-directional causality running from GDP to energy consumption and vice versa exists in the multivariate model. It is plausible that access to energy has a relationship with increasing economic growth and productivity in Ghana.

  19. Parents' perceptions about child abuse and their impact on physical and emotional child abuse: A study from primary health care centers in Riyadh, Saudi Arabia.

    Science.gov (United States)

    Al Dosari, Mohammed N; Ferwana, Mazen; Abdulmajeed, Imad; Aldossari, Khaled K; Al-Zahrani, Jamaan M

    2017-01-01

    To determine perceptions of parents about child abuse, and their impact on physical and emotional child abuse. Two hundred parents attending three primary health care centers (PHCCs) in Riyadh serving National Guard employes and their families, were requested to participate in this survey. Data was collected by self administered questionnaire. Five main risk factors areas/domains were explored; three were parent related (personal factors, history of parents' childhood abuse, and parental attitude toward punishment), and two were family/community effects and factors specific to the child. SPSS was used for data entry and analysis. Descriptive analysis included computation of mean, median, mode, frequencies, and percentages; Chi-square test and t -test were used to test for statistical significance, and regression analysis performed to explore relationships between child abuse and various risk factors. Thirty-four percent of the parents reported a childhood history of physical abuse. Almost 18% of the parents used physical punishment. The risk factors associated significantly with child abuse were parents' history of physical abuse, young parent, witness to domestic violence, and poor self-control. Child-related factors included a child who is difficult to control or has attention deficit hyperactivity disorder (ADHD). Parents who did not own a house were more likely to use physical punishment. Abusive beliefs of parent as risk factors were: physical punishment as an effective educational tool for a noisy child; parents' assent to physical punishment for children; it is difficult to differentiate between physical punishment and child abuse; parents have the right to discipline their child as they deem necessary; and there is no need for a system for the prevention of child abuse. The causes of child abuse and neglect are complex. Though detecting child abuse may be difficult in primary care practice, many risk factors can be identified early. Parents' attitudes can

  20. Multivariate Max-Stable Spatial Processes

    KAUST Repository

    Genton, Marc G.

    2014-01-06

    Analysis of spatial extremes is currently based on univariate processes. Max-stable processes allow the spatial dependence of extremes to be modelled and explicitly quantified, they are therefore widely adopted in applications. For a better understanding of extreme events of real processes, such as environmental phenomena, it may be useful to study several spatial variables simultaneously. To this end, we extend some theoretical results and applications of max-stable processes to the multivariate setting to analyze extreme events of several variables observed across space. In particular, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. Then, we define a Poisson process construction in the multivariate setting and introduce multivariate versions of the Smith Gaussian extremevalue, the Schlather extremal-Gaussian and extremal-t, and the BrownResnick models. Inferential aspects of those models based on composite likelihoods are developed. We present results of various Monte Carlo simulations and of an application to a dataset of summer daily temperature maxima and minima in Oklahoma, U.S.A., highlighting the utility of working with multivariate models in contrast to the univariate case. Based on joint work with Simone Padoan and Huiyan Sang.

  1. Multivariate Max-Stable Spatial Processes

    KAUST Repository

    Genton, Marc G.

    2014-01-01

    Analysis of spatial extremes is currently based on univariate processes. Max-stable processes allow the spatial dependence of extremes to be modelled and explicitly quantified, they are therefore widely adopted in applications. For a better understanding of extreme events of real processes, such as environmental phenomena, it may be useful to study several spatial variables simultaneously. To this end, we extend some theoretical results and applications of max-stable processes to the multivariate setting to analyze extreme events of several variables observed across space. In particular, we study the maxima of independent replicates of multivariate processes, both in the Gaussian and Student-t cases. Then, we define a Poisson process construction in the multivariate setting and introduce multivariate versions of the Smith Gaussian extremevalue, the Schlather extremal-Gaussian and extremal-t, and the BrownResnick models. Inferential aspects of those models based on composite likelihoods are developed. We present results of various Monte Carlo simulations and of an application to a dataset of summer daily temperature maxima and minima in Oklahoma, U.S.A., highlighting the utility of working with multivariate models in contrast to the univariate case. Based on joint work with Simone Padoan and Huiyan Sang.

  2. Child abuse

    International Nuclear Information System (INIS)

    Dorst, J.P.; Johns Hopkins Medical Institutions, Baltimore, MD

    1982-01-01

    Child abuse is common in most, if not all, Western nations; it probably occurs worldwide. It may be a major factor in the increase in violence throughout much of the world. Radiologists who treat children should think of the possibilitys of abuse whenever they diagnose a fracture, intracranial bleed, ar visceral injury, especially when the history is not compatible with their findings. Metaphyseal 'corner' fractures in infants usually are caused by abuse. Less than 20% of abused children, however, present injuries that can be recognized by radiologic techniques. Consequently normal roentgenograms, nuclear medicine scans, ultrasound studies, and computed tomograms do not exclude child abuse. (orig.)

  3. Child abuse

    Energy Technology Data Exchange (ETDEWEB)

    Dorst, J.P.

    1982-08-01

    Child abuse is common in most, if not all, Western nations; it probably occurs worldwide. It may be a major factor in the increase in violence throughout much of the world. Radiologists who treat children should think of the possibilitys of abuse whenever they diagnose a fracture, intracranial bleeding or visceral injury, especially when the history is not compatible with their findings. Metaphyseal 'corner' fractures in infants usually are caused by abuse. Less than 20% of abused children, however, present injuries that can be recognized by radiologic techniques. Consequently normal roentgenograms, nuclear medicine scans, ultrasound studies, and computed tomograms do not exclude child abuse.

  4. Late rectal toxicity after conformal radiotherapy of prostate cancer (I): multivariate analysis and dose-response

    International Nuclear Information System (INIS)

    Skwarchuk, Mark W.; Jackson, Andrew; Zelefsky, Michael J.; Venkatraman, Ennapadam S.; Cowen, Didier M.; Levegruen, Sabine; Burman, Chandra M.; Fuks, Zvi; Leibel, Steven A.; Ling, C. Clifton

    2000-01-01

    Purpose: The purpose of this paper is to use the outcome of a dose escalation protocol for three-dimensional conformal radiation therapy (3D-CRT) of prostate cancer to study the dose-response for late rectal toxicity and to identify anatomic, dosimetric, and clinical factors that correlate with late rectal bleeding in multivariate analysis. Methods and Materials: Seven hundred forty-three patients with T1c-T3 prostate cancer were treated with 3D-CRT with prescribed doses of 64.8 to 81.0 Gy. The 5-year actuarial rate of late rectal toxicity was assessed using Kaplan-Meier statistics. A retrospective dosimetric analysis was performed for patients treated to 70.2 Gy (52 patients) or 75.6 Gy (119 patients) who either exhibited late rectal bleeding (RTOG Grade 2/3) within 30 months after treatment (i.e., 70.2 Gy--13 patients, 75.6 Gy--36 patients) or were nonbleeding for at least 30 months (i.e., 70.2 Gy--39 patients, 75.6 Gy--83 patients). Univariate and multivariate logistic regression was performed to correlate late rectal bleeding with several anatomic, dosimetric, and clinical variables. Results: A dose response for ≥ Grade 2 late rectal toxicity was observed. By multivariate analysis, the following factors were significantly correlated with ≥ Grade 2 late rectal bleeding for patients prescribed 70.2 Gy: 1) enclosure of the outer rectal contour by the 50% isodose on the isocenter slice (i.e., Iso50) (p max (p max

  5. Multivariate methods in nuclear waste remediation: Needs and applications

    International Nuclear Information System (INIS)

    Pulsipher, B.A.

    1992-05-01

    The United States Department of Energy (DOE) has developed a strategy for nuclear waste remediation and environmental restoration at several major sites across the country. Nuclear and hazardous wastes are found in underground storage tanks, containment drums, soils, and facilities. Due to the many possible contaminants and complexities of sampling and analysis, multivariate methods are directly applicable. However, effective application of multivariate methods will require greater ability to communicate methods and results to a non-statistician community. Moreover, more flexible multivariate methods may be required to accommodate inherent sampling and analysis limitations. This paper outlines multivariate applications in the context of select DOE environmental restoration activities and identifies several perceived needs

  6. Lifetime abuse and perceived social support among the elderly: a study from seven European countries.

    Science.gov (United States)

    Eslami, Bahareh; Di Rosa, Mirko; Barros, Henrique; Stankunas, Mindaugas; Torres-Gonzalez, Francisco; Ioannidi-Kapolou, Elisabeth; Lindert, Jutta; Melchiorre, Maria Gabriella

    2017-08-01

    Being a victim of abuse during one's life course may affect social relations in later life. The aims of this study were to: (i) examine the association between lifetime abuse and perceived social support and (ii) identify correlates of perceived social support among older persons living in seven European countries. A sample of 4467 women and men aged 60-84 years living in Germany, Greece, Italy, Lithuania, Portugal, Spain and Sweden was collected through a cross-sectional population-based study. Abuse (psychological, physical, sexual, financial and injury) was assessed through interviews or interviews/self-response questionnaire based on the Conflict Tactics Scale-2 and the UK study on elder abuse. Perceived social support was assessed by the Multidimensional Scale of Perceived Social Support. Victims of lifetime abuse perceived poorer social support in later life. Multivariate analyses showed that high levels of perceived social support were associated with being from Greece and Lithuania (compared to Germany), being female, not living alone, consuming alcohol and physical activity. Poorer perceived social support was associated with being from Portugal, being old, having social benefits as the main source of income, experiencing financial strain and being exposed to lifetime psychological abuse and injuries. Our findings showed that exposure to psychological abuse and injuries across the lifespan were associated with low levels of perceived social support, emphasizing the importance of detection and appropriate treatment of victims of abuse during their life course. Future research should focus on coping strategies buffering the negative effects of abuse on social relationships. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

  7. Adolescent Abuse.

    Science.gov (United States)

    Foreman, Susan; Seligman, Linda

    1983-01-01

    Discusses legal and developmental aspects of adolescent abuse, as distinguished from child abuse. The role of the school counselor in identifying and counseling abused adolescents and their families is discussed and several forms of intervention and support services are described. (JAC)

  8. Multivariate data analysis as a tool in advanced quality monitoring in the food production chain

    DEFF Research Database (Denmark)

    Bro, R.; van den Berg, F.; Thybo, A.

    2002-01-01

    This paper summarizes some recent advances in mathematical modeling of relevance in advanced quality monitoring in the food production chain. Using chemometrics-multivariate data analysis - it is illustrated how to tackle problems in food science more efficiently and, moreover, solve problems...

  9. Multivariate quantitative structure-pharmacokinetic relationships (QSPKR) analysis of adenosine A(1) receptor agonists in rat

    NARCIS (Netherlands)

    Van der Graaf, PH; Nilsson, J; Van Schaick, EA; Danhof, M

    The aim of this study was to investigate the feasibility of a quantitative structure-pharmacokinetic relationships (QSPKR) method based on contemporary three-dimensional (3D) molecular characterization and multivariate statistical analysis. For this purpose, the programs SYBYL/CoMFA, GRID, and

  10. Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data.

    Science.gov (United States)

    Ultsch, Alfred; Lötsch, Jörn

    2015-01-01

    Multivariate data sets often differ in several factors or derived statistical parameters, which have to be selected for a valid interpretation. Basing this selection on traditional statistical limits leads occasionally to the perception of losing information from a data set. This paper proposes a novel method for calculating precise limits for the selection of parameter sets. The algorithm is based on an ABC analysis and calculates these limits on the basis of the mathematical properties of the distribution of the analyzed items. The limits implement the aim of any ABC analysis, i.e., comparing the increase in yield to the required additional effort. In particular, the limit for set A, the "important few", is optimized in a way that both, the effort and the yield for the other sets (B and C), are minimized and the additional gain is optimized. As a typical example from biomedical research, the feasibility of the ABC analysis as an objective replacement for classical subjective limits to select highly relevant variance components of pain thresholds is presented. The proposed method improved the biological interpretation of the results and increased the fraction of valid information that was obtained from the experimental data. The method is applicable to many further biomedical problems including the creation of diagnostic complex biomarkers or short screening tests from comprehensive test batteries. Thus, the ABC analysis can be proposed as a mathematically valid replacement for traditional limits to maximize the information obtained from multivariate research data.

  11. Assessing prescription drug abuse using functional principal component analysis (FPCA) of wastewater data.

    Science.gov (United States)

    Salvatore, Stefania; Røislien, Jo; Baz-Lomba, Jose A; Bramness, Jørgen G

    2017-03-01

    Wastewater-based epidemiology is an alternative method for estimating the collective drug use in a community. We applied functional data analysis, a statistical framework developed for analysing curve data, to investigate weekly temporal patterns in wastewater measurements of three prescription drugs with known abuse potential: methadone, oxazepam and methylphenidate, comparing them to positive and negative control drugs. Sewage samples were collected in February 2014 from a wastewater treatment plant in Oslo, Norway. The weekly pattern of each drug was extracted by fitting of generalized additive models, using trigonometric functions to model the cyclic behaviour. From the weekly component, the main temporal features were then extracted using functional principal component analysis. Results are presented through the functional principal components (FPCs) and corresponding FPC scores. Clinically, the most important weekly feature of the wastewater-based epidemiology data was the second FPC, representing the difference between average midweek level and a peak during the weekend, representing possible recreational use of a drug in the weekend. Estimated scores on this FPC indicated recreational use of methylphenidate, with a high weekend peak, but not for methadone and oxazepam. The functional principal component analysis uncovered clinically important temporal features of the weekly patterns of the use of prescription drugs detected from wastewater analysis. This may be used as a post-marketing surveillance method to monitor prescription drugs with abuse potential. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  12. Financial abuse in elderly Korean immigrants: mixed analysis of the role of culture on perception and help-seeking intention.

    Science.gov (United States)

    Lee, Hee Yun; Eaton, Charissa K

    2009-07-01

    This study aims to evaluate how elderly Korean immigrants perceive and respond to a hypothetical incident of financial abuse on the basis of their cultural background. By using a quota sampling strategy, 124 elderly Korean immigrants were recruited. A mixed-method approach was employed to explore the role of culture on elderly immigrants' view of financial abuse and the construct of independent and interdependent self-construal was adopted to theoretically guide the study. Mixed-method analysis confirmed considerable influence of culture, particularly in responding to the abusive situation. Although the vast majority of the elders (92%) perceived financial abuse as elder mistreatment, only two-thirds (64%) intended to seek help. Five major themes for not seeking help were produced. These are: (a) issues related to family problems, (b) tolerance of the abuse, (c) shame, (d) victim blame, and (e) mistrust toward third party intervention. A series of binary logistic regressions revealed (a) a lower likelihood of seeking formal types of help with those who had higher level of adherence to traditional values and (b) the profile of vulnerable elderly Koreans who are at higher risk of being financially abused: male and less educated. This article also discusses implications for social work practice and elder mistreatment policy, particularly focusing on how to work with elderly Korean immigrants who are vulnerable to this problem and who tend to use collectivistic cultural values in responding to financial abuse.

  13. Barriers to accessing substance abuse treatment in Mexico: national comparative analysis by migration status

    Science.gov (United States)

    2014-01-01

    Background We examined Mexican migrants’ perceived barriers to entering substance abuse treatment and potential differences by gender. Methods This study analyzed a subset of household data collected in Mexico in 2011 via the Encuesta Nacional de Adicciones (National Survey of Addictions). A sample of 1,143 individuals who reported using illicit drugs was analyzed using multivariate negative binomial models to determine direct and moderated relationships of gender, migrant status, and drug dependence with perceived barriers to accessing treatment. Results Significant findings included disparities in drug dependence by migrant status. Compared with non-migrant men, women who have traveled to the United States was associated with fewer (1.3) barriers to access treatment. Fewer barriers to access care were associated with individuals residing in other regions of the country, compared to those living in Mexico City. Conclusions Drug dependence, gender, migration status and regional location are factors associated with access to needed treatment. Implications for health care policy to develop treatment services infrastructure and for future research are discussed in the context of ongoing drug policy reform in Mexico. PMID:25074067

  14. Multivariate data analysis as a fast tool in evaluation of solid state phenomena

    DEFF Research Database (Denmark)

    Jørgensen, Anna Cecilia; Miroshnyk, Inna; Karjalainen, Milja

    2006-01-01

    of information generated can be overwhelming and the need for more effective data analysis tools is well recognized. The aim of this study was to investigate the use of multivariate data analysis, in particular principal component analysis (PCA), for fast analysis of solid state information. The data sets...... the molecular level interpretation of the structural changes related to the loss of water, as well as interpretation of the phenomena related to the crystallization. The critical temperatures or critical time points were identified easily using the principal component analysis. The variables (diffraction angles...... or wavenumbers) that changed could be identified by the careful interpretation of the loadings plots. The PCA approach provides an effective tool for fast screening of solid state information....

  15. Characterization of Adolescent Prescription Drug Abuse and Misuse Using the Researched Abuse Diversion and Addiction-Related Surveillance (RADARS[R]) System

    Science.gov (United States)

    Zosel, Amy; Bartelson, Becki Bucher; Bailey, Elise; Lowenstein, Steven; Dart, Rick

    2013-01-01

    Objective: To describe the characteristics and health effects of adolescent (age 13-19 years) prescription drug abuse and misuse using the Researched Abuse Diversion and Addiction-Related Surveillance (RADARS[R])) System. Method: Secondary analysis of data collected from RADARS System participating poison centers was performed. Data for all…

  16. Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review.

    Science.gov (United States)

    Maione, Camila; Barbosa, Rommel Melgaço

    2018-01-24

    Rice is one of the most important staple foods around the world. Authentication of rice is one of the most addressed concerns in the present literature, which includes recognition of its geographical origin and variety, certification of organic rice and many other issues. Good results have been achieved by multivariate data analysis and data mining techniques when combined with specific parameters for ascertaining authenticity and many other useful characteristics of rice, such as quality, yield and others. This paper brings a review of the recent research projects on discrimination and authentication of rice using multivariate data analysis and data mining techniques. We found that data obtained from image processing, molecular and atomic spectroscopy, elemental fingerprinting, genetic markers, molecular content and others are promising sources of information regarding geographical origin, variety and other aspects of rice, being widely used combined with multivariate data analysis techniques. Principal component analysis and linear discriminant analysis are the preferred methods, but several other data classification techniques such as support vector machines, artificial neural networks and others are also frequently present in some studies and show high performance for discrimination of rice.

  17. The effects of early prevention programs for families with young children at risk for physical child abuse and neglect : A meta-analysis

    NARCIS (Netherlands)

    Geeraert, L; Van den Noortgate, W; Grietens, H; Onghena, P

    In this article, a meta-analysis is presented on 40 evaluation studies of early prevention programs for families with young children at risk for physical child abuse and neglect with mostly nonrandomized designs. The main aim of all programs was to prevent physical child abuse and neglect by

  18. Multi-variable systems in nuclear power plant

    International Nuclear Information System (INIS)

    Collins, G.B.; Howell, J.

    1982-01-01

    Nuclear power plant are complex multi-variable dynamically interactive systems which employ many facets of systems and control theory in their analysis and design. Whole plant mathematical models must be developed and validated and in addition to their obvious role in control system synthesis and design, they are also widely used for operational constraint and plant malfunction analysis. The need for and scope of an integrated power plant control system is discussed and, as a specific example, the design of an integrated feedwater regulator is reviewed. The multi-variable frequency response analysis employed in the design is described in detail. (author)

  19. Multivariate statistics high-dimensional and large-sample approximations

    CERN Document Server

    Fujikoshi, Yasunori; Shimizu, Ryoichi

    2010-01-01

    A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic

  20. LIVED EXPERIENCES OF THE ABUSED ELDERLY

    Directory of Open Access Journals (Sweden)

    Joel Rey U. Acob

    2018-03-01

    Full Text Available Aim: The study determined individual lived experiences of the abused elderly in the provinces of Leyte and Biliran. Methods: The study utilized qualitative phenomenology. Interviews are made and recorded, then later transcribed verbatim. Collaizi’s method is used as method of analysis to obtain themes of the lived experiences of the ten abused key informants. Results: Based from results, most of the abused entities are female, widowed aging 6o to 65 years old, earning less than 2000 pesos per month and are dependently living in a nuclear family structure for 40 years. Based on their responses to the open-ended guide questions, key informants revealed emotional mistreatment being the most extensive type of abuse. Physical and sexual maltreatment are also evident amidst their old age. Family members and employers are the main identified perpetrators of the elderly. Bruises on most covered areas in their body, rope burns, torn undergarments, being touched without consent are some of the objective indicators of abuse. Themes such as family violence and workplace mistreatment are the most common form of abuse experienced. Conclusion: Based from the findings, it is recommended that the local government and concerned stakeholders to timely review existing rules protecting vulnerable adults especially its implementation.

  1. Analysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spaces

    KAUST Repository

    Migliorati, Giovanni

    2016-01-01

    We review the main results achieved in the analysis of the stability and accuracy of the discrete leastsquares approximation on multivariate polynomial spaces, with noiseless evaluations at random points, noiseless evaluations at low

  2. Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis.

    Science.gov (United States)

    Ponsoda, Vicente; Martínez, Kenia; Pineda-Pardo, José A; Abad, Francisco J; Olea, Julio; Román, Francisco J; Barbey, Aron K; Colom, Roberto

    2017-02-01

    Neuroimaging research involves analyses of huge amounts of biological data that might or might not be related with cognition. This relationship is usually approached using univariate methods, and, therefore, correction methods are mandatory for reducing false positives. Nevertheless, the probability of false negatives is also increased. Multivariate frameworks have been proposed for helping to alleviate this balance. Here we apply multivariate distance matrix regression for the simultaneous analysis of biological and cognitive data, namely, structural connections among 82 brain regions and several latent factors estimating cognitive performance. We tested whether cognitive differences predict distances among individuals regarding their connectivity pattern. Beginning with 3,321 connections among regions, the 36 edges better predicted by the individuals' cognitive scores were selected. Cognitive scores were related to connectivity distances in both the full (3,321) and reduced (36) connectivity patterns. The selected edges connect regions distributed across the entire brain and the network defined by these edges supports high-order cognitive processes such as (a) (fluid) executive control, (b) (crystallized) recognition, learning, and language processing, and (c) visuospatial processing. This multivariate study suggests that one widespread, but limited number, of regions in the human brain, supports high-level cognitive ability differences. Hum Brain Mapp 38:803-816, 2017. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  3. Synchrotron-Based Microspectroscopic Analysis of Molecular and Biopolymer Structures Using Multivariate Techniques and Advanced Multi-Components Modeling

    International Nuclear Information System (INIS)

    Yu, P.

    2008-01-01

    More recently, advanced synchrotron radiation-based bioanalytical technique (SRFTIRM) has been applied as a novel non-invasive analysis tool to study molecular, functional group and biopolymer chemistry, nutrient make-up and structural conformation in biomaterials. This novel synchrotron technique, taking advantage of bright synchrotron light (which is million times brighter than sunlight), is capable of exploring the biomaterials at molecular and cellular levels. However, with the synchrotron RFTIRM technique, a large number of molecular spectral data are usually collected. The objective of this article was to illustrate how to use two multivariate statistical techniques: (1) agglomerative hierarchical cluster analysis (AHCA) and (2) principal component analysis (PCA) and two advanced multicomponent modeling methods: (1) Gaussian and (2) Lorentzian multi-component peak modeling for molecular spectrum analysis of bio-tissues. The studies indicated that the two multivariate analyses (AHCA, PCA) are able to create molecular spectral corrections by including not just one intensity or frequency point of a molecular spectrum, but by utilizing the entire spectral information. Gaussian and Lorentzian modeling techniques are able to quantify spectral omponent peaks of molecular structure, functional group and biopolymer. By application of these four statistical methods of the multivariate techniques and Gaussian and Lorentzian modeling, inherent molecular structures, functional group and biopolymer onformation between and among biological samples can be quantified, discriminated and classified with great efficiency.

  4. Web-Based Tools for Modelling and Analysis of Multivariate Data: California Ozone Pollution Activity

    Science.gov (United States)

    Dinov, Ivo D.; Christou, Nicolas

    2011-01-01

    This article presents a hands-on web-based activity motivated by the relation between human health and ozone pollution in California. This case study is based on multivariate data collected monthly at 20 locations in California between 1980 and 2006. Several strategies and tools for data interrogation and exploratory data analysis, model fitting…

  5. Analytical toxicology of emerging drugs of abuse--an update.

    Science.gov (United States)

    Meyer, Markus R; Peters, Frank T

    2012-12-01

    The steady increase of new drugs of abuse on the illicit drug market is a great challenge for analytical toxicologists. Because most of these new drugs or drug classes are not included in established analytical methods targeting classic drugs of abuse, analytical procedures must be adapted or new procedures must be developed to cover such new compounds. This review summarizes procedures for analysis of these drugs of abuse published from January 2009 to January 2012 covering the following classes of emerging drugs of abuse as follows: β-keto-amphetamines, pyrrolidinophenones, tryptamines, and synthetic cannabinoids.

  6. Interventions for preventing abuse in the elderly.

    Science.gov (United States)

    Baker, Philip R A; Francis, Daniel P; Hairi, Noran N; Othman, Sajaratulnisah; Choo, Wan Yuen

    2016-08-16

    independently extracted data and assessed the studies' risk of bias. Studies were categorised as: 1) education on elder abuse, 2) programmes to reduce factors influencing elder abuse, 3) specific policies for elder abuse, 4) legislation on elder abuse, 5) programmes to increase detection rate on elder abuse, 6) programmes targeted to victims of elder abuse, and 7) rehabilitation programmes for perpetrators of elder abuse. All studies were assessed for study methodology, intervention type, setting, targeted audience, intervention components and intervention intensity. The search and selection process produced seven eligible studies which included a total of 1924 elderly participants and 740 other people. Four of the above seven categories of interventions were evaluated by included studies that varied in study design. Eligible studies of rehabilitation programmes, specific policies for elder abuse and legislation on elder abuse were not found. All included studies contained a control group, with five of the seven studies describing the method of allocation as randomised. We used the Cochrane 'Risk of bias' tool and EPOC assessment criteria to assess risk of bias. The results suggest that risk of bias across the included body of research was high, with at least 40% of the included studies judged as being at high risk of bias. Only one study was judged as having no domains at high risk of bias, with two studies having two of 11 domains at high risk. One study was judged as being at high risk of bias across eight of 11 domains.All included studies were set in high-income countries, as determined by the World Bank economic classification (USA four, Taiwan one, UK two). None of the studies provided specific information or analysis on equity considerations, including by socio-economic disadvantage, although one study was described as being set in a housing project. One study performed some form of cost-effectiveness analysis on the implementation of their intervention programmes

  7. Ischemic risk stratification by means of multivariate analysis of the heart rate variability

    International Nuclear Information System (INIS)

    Valencia, José F; Vallverdú, Montserrat; Caminal, Pere; Porta, Alberto; Voss, Andreas; Schroeder, Rico; Vázquez, Rafael; Bayés de Luna, Antonio

    2013-01-01

    In this work, a univariate and multivariate statistical analysis of indexes derived from heart rate variability (HRV) was conducted to stratify patients with ischemic dilated cardiomyopathy (IDC) in cardiac risk groups. Indexes conditional entropy, refined multiscale entropy (RMSE), detrended fluctuation analysis, time and frequency analysis, were applied to the RR interval series (beat-to-beat series), for single and multiscale complexity analysis of the HRV in IDC patients. Also, clinical parameters were considered. Two different end-points after a follow-up of three years were considered: (i) analysis A, with 151 survivor patients as a low risk group and 13 patients that suffered sudden cardiac death as a high risk group; (ii) analysis B, with 192 survivor patients as a low risk group and 30 patients that suffered cardiac mortality as a high risk group. A univariate and multivariate linear discriminant analysis was used as a statistical technique for classifying patients in risk groups. Sensitivity (Sen) and specificity (Spe) were calculated as diagnostic criteria in order to evaluate the performance of the indexes and their linear combinations. Sen and Spe values of 80.0% and 72.9%, respectively, were obtained during daytime by combining one clinical parameter and one index from RMSE, and during nighttime Sen = 80% and Spe = 73.4% were attained by combining one clinical factor and two indexes from RMSE. In particular, relatively long time scales were more relevant for classifying patients into risk groups during nighttime, while during daytime shorter scales performed better. The results suggest that the left atrial size, indexed to body surface and RMSE indexes are those that allow enhanced classification of ischemic patients in their respective risk groups, confirming that a single measurement is not enough to fully characterize ischemic risk patients and the clinical relevance of HRV complexity measures. (paper)

  8. Spouse Abuse, Child Abuse, and Substance Abuse Among Army Facilities: Co-Occurrence, Correlations and Service Delivery Issues

    National Research Council Canada - National Science Library

    Gibbs, Deborah A

    2006-01-01

    ...: spouse abuse child abuse and substance abuse. By supporting the development of improved responses to troubled families findings from this study can potentially reduce mortality and morbidity among military personal and their family members...

  9. Prevalence and Predictors of Self-Reported Sexual Abuse in Severely Obese Patients in a Population-Based Bariatric Program

    Directory of Open Access Journals (Sweden)

    Danielle L. Gabert

    2013-01-01

    Full Text Available Background. Sexual abuse may be associated with poorer weight loss outcomes following bariatric treatment. Identifying predictors of abuse would enable focused screening and may increase weight management success. Methods. We analyzed data from 500 consecutively recruited obese subjects from a population-based, regional bariatric program. The prevalence of self-reported sexual abuse was ascertained using a single interview question. Health status was measured using a visual analogue scale (VAS. Multivariable logistic regression was performed to identify sexual abuse predictors. Results. The mean age was 43.7 y (SD 9.6, 441 (88.2% were females, 458 (91.8% were white, and the mean body mass index (BMI was 47.9 kg/m2 (SD 8.1. The self-reported prevalence of past abuse was 21.8% (95% CI 18.4–25.4%. Abused subjects had worse health status (VAS score 53.1 (SD 21.2 versus 58.0 (SD 20.1, P=0.03. BMI was not associated with abuse (P>0.5. Age, sex, BMI, and covariate-adjusted independent predictors of abuse included alcohol addiction (adjusted odds ratio 15.8; 95% CI 4.0–62.8, posttraumatic stress disorder (4.9; 2.5–9.5, borderline personality (3.8; 1.0–13.8, depression (2.4; 1.3–4.3, and lower household income (3.4; 1.6–7.0. Conclusions. Abuse was common amongst obese patients managed in a population-based bariatric program; alcohol addiction, psychiatric comorbidities, and low-income status were highly associated with sexual abuse.

  10. Is Child Abuse Associated with Adolescent Obesity? A Population Cohort Study.

    Science.gov (United States)

    Hawton, Katherine; Norris, Tom; Crawley, Esther; Shield, Julian P H

    Child abuse is associated with obesity in adulthood through multiple mechanisms. However, little is known about the relationship between abuse and obesity during adolescence. The aim of this study was to investigate, using a birth cohort, whether there is an association between child abuse and overweight or obesity in adolescence. This study utilizes data from the Avon Longitudinal Study of Parents and Children, a prospective cohort study based in South West England. Using data from the 4205 children with complete data at 13 and 16 years, we analyzed body mass index (BMI) and anonymous parental report of abuse. Abuse was categorized as emotional, physical, or sexual. A sub-sample of 3429 had BMI recorded at 18 years, enabling a longitudinal analysis of BMI trajectories. Using linear and logistic regression analysis, adjusting for sex and family adversity, no association was found between child abuse and BMI, BMI Z-scores, overweight, or obesity, at 13 or 16 years, with all confidence intervals straddling the null. There was weak evidence of a negative association between physical and emotional abuse and BMI trajectories between 13 and 18 years. No relationship was found between child abuse and adolescent obesity in this cohort. This challenges the assumption that adolescent obesity is linked to previous child abuse, as demonstrated for obesity in adult life. A further longitudinal study utilizing both parental and child reports with data record linkage, to improve reporting of abuse, and including neglect as an abuse category, would be desirable.

  11. Orphaned and abused youth are vulnerable to pregnancy and suicide risk☆, ☆☆

    Science.gov (United States)

    Kissin, Dmitry M.; Bogoliubova, Olga; Yorick, Roman V.; Kraft, Joan Marie; Jamieson, Denise J.; Marchbanks, Polly A.; Hillis, Susan D.

    2015-01-01

    Objective Little is known about the magnitude and consequences of violence against children for those living outside family care. We sought to estimate the frequency of childhood abuse and examine its association with lifetime pregnancy involvement (LPI) and past year suicide ideation among orphaned youth. Methods We analyzed data collected via cross-sectional interviewer-administered surveys completed by 293 orphaned youth aged 16–23 years living outside of family care in St. Petersburg, Russia. We used multivariable logistic regression to estimate adjusted odds ratios (AORs) of LPI and past year suicide ideation associated with childhood physical and sexual abuse. Other risk factors were also examined (e.g., social vulnerability, sexual and substance use behaviors), and characteristics of orphaned youth with LPI and past year suicide ideation were described. Results The prevalence of childhood abuse was higher among females than among males (23.3% versus 15.6% for physical abuse, and 20.3% versus 5.6% for sexual abuse), as was the prevalence of LPI and past year suicide ideation among those with histories of abuse. Experiences of childhood abuse were strong risk factors for both LPI and past year suicide ideation, with significant variation by gender. While both types of abuse were significantly associated with LPI and past year suicide ideation among females, physical abuse was significantly associated with LPI and sexual abuse was associated with suicide ideation for males. Of the other characteristics examined, strong modifiable risk factors included having no one to turn to for help and no involvement in activities outside of class. Among those with LPI (n = 36), nearly 20% had been pregnant or gotten someone pregnant ≥2 times, most (61.8%) reported at least one induced abortion, and current use of effective contraception was nearly non-existent. Among those with past year suicide ideation (n = 30), nearly half (44.8%) reported attempting suicide

  12. Multivariate analysis of microarray data: differential expression and differential connection.

    Science.gov (United States)

    Kiiveri, Harri T

    2011-02-01

    Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically allows for correlation between genes. As a result we combine gene network ideas with linear models and differential expression. We use sparse inverse covariance matrices and their associated graphical representation to capture the notion of gene networks. An important issue in using these models is the identification of the pattern of zeroes in the inverse covariance matrix. The limitations of existing methods for doing this are discussed and we provide a workable solution for determining the zero pattern. We then consider a method for estimating the parameters in the inverse covariance matrix which is suitable for very high dimensional matrices. We also show how to construct multivariate tests of hypotheses. These overall multivariate tests can be broken down into two components, the first one being similar to tests for differential expression and the second involving the connections between genes. The methods in this paper enable the extraction of a wealth of information concerning the relationships between genes which can be conveniently represented in graphical form. Differentially expressed genes can be placed in the context of the gene network and places in the gene network where unusual or interesting patterns have emerged can be identified, leading to the formulation of hypotheses for future experimentation.

  13. Analysis of multi-species point patterns using multivariate log Gaussian Cox processes

    DEFF Research Database (Denmark)

    Waagepetersen, Rasmus; Guan, Yongtao; Jalilian, Abdollah

    Multivariate log Gaussian Cox processes are flexible models for multivariate point patterns. However, they have so far only been applied in bivariate cases. In this paper we move beyond the bivariate case in order to model multi-species point patterns of tree locations. In particular we address t...... of the data. The selected number of common latent fields provides an index of complexity of the multivariate covariance structure. Hierarchical clustering is used to identify groups of species with similar patterns of dependence on the common latent fields.......Multivariate log Gaussian Cox processes are flexible models for multivariate point patterns. However, they have so far only been applied in bivariate cases. In this paper we move beyond the bivariate case in order to model multi-species point patterns of tree locations. In particular we address...... the problems of identifying parsimonious models and of extracting biologically relevant information from the fitted models. The latent multivariate Gaussian field is decomposed into components given in terms of random fields common to all species and components which are species specific. This allows...

  14. Elder abuse within the family environment in the Azores Islands

    Directory of Open Access Journals (Sweden)

    Juan Manuel Carmona-Torres

    2017-09-01

    Full Text Available ABSTRACT Objectives: to dimension abuse against vulnerable adults within the family and community environment in the Azores Islands, identify risk factors for abuse and describe the profile of an abused elder. Method: descriptive cross-sectional study. Random sampling. The instruments used were: clinical histories of the users, Mini-Mental State Examination, Index of Independence in Basic Activities of Daily Living, Family APGAR Scale, Elder Abuse Suspicion Index and Social Work Assessment Form. Descriptive statistical analysis was used for qualitative and quantitative variables and multiple logistic regression was used to identify factors associated with elder mistreatment. Results: abuse suspicion was identified in 24.5% of elderly participants. Psychological abuse was the most common type of abuse and sons were the main abusers. Conclusion: being a woman and belonging to a dysfunctional family is associated with an increased risk of becoming a victim of abuse; the high level of domestic violence against the elderly in the Azores Islands is in line with the rest of Portugal.

  15. [Child sexual abuse: an irremediable hurt?].

    Science.gov (United States)

    Di Giacomo, Ester; Alamia, Alberto; Cicolari, Federica; Cimolai, Valentina; Clerici, Massimo

    2013-01-01

    The aim of this review was to provide the state of art of child sexual abuse and its psychophysical consequences. We assessed the evidence-based literature derived from PubMed, Embase, Medline, PsychINFO databases, including a thorough analysis of what has been published in the last 5 years, not neglecting previous publications essential to the argument for their scientific validity (methodological accuracy, recruited survey). Child sexual abuse is ubiquitous both regarding victims' gender and socio-economic conditions. The important consequences linked to what they suffered--either immediately or with adolescent or adult onset--are mediated by age and family support to trauma reprocessing as well as by the frequency of repetition of the abuse or familiarity with the abuser. These factors appear to be of primary importance--both at a physical and psychic level--and may be expressed in multiple manifestations, hence it is of utmost importance to pay timely attention to possible alarm signals revealing suspected abuse suffered by any underage person. Special emphasis is addressed towards some of the consequences for which child sexual abuse is considered to be a primary cause (e.g. post-traumatic stress disorder) and the perpetuation of such abuse, both short-term as well as long-term. Poor training, regarding this field, of various professionals (pediatricians, teachers, etc.) who each day work with minors, as well as the paucity of available treatment options point to an urgent need for prevention (including in-depth diagnosis/therapy) and early intervention.

  16. Other Drugs of Abuse

    Science.gov (United States)

    ... People Abuse » Other Drugs of Abuse Other Drugs of Abuse Listen There are many other drugs of abuse, ... and Rehab Resources About the National Institute on Drug Abuse (NIDA) | About This Website Tools and Resources | Contact ...

  17. Substance Abuse and Prison Recidivism: Themes from Qualitative Interviews

    Science.gov (United States)

    Phillips, Lindsay A.

    2010-01-01

    This qualitative analysis explores the role of substance abuse in reentry from prison to society. Participants who recidivated (N = 20) in an urban prison system identified substance abuse as their primary reason for recidivism. Treatment implications are discussed.

  18. Self-Esteem and Attitudes toward Love in Abused and Non-Abused Women.

    Science.gov (United States)

    Chambliss, Catherine; And Others

    This study sought to identify personality differences in abused versus non-abused women. Abused women (N=25) were from several centers for abused women and non-abused women (N=39) were students in evening psychology classes. All subjects completed Rubin's Love Scale, the abbreviated Dominance and Romanticism Scale, Rosenberg's Self-Esteem Scale,…

  19. Disrespect and abuse during childbirth in Tanzania: are women living with HIV more vulnerable?

    Science.gov (United States)

    Sando, David; Kendall, Tamil; Lyatuu, Goodluck; Ratcliffe, Hannah; McDonald, Kathleen; Mwanyika-Sando, Mary; Emil, Faida; Chalamilla, Guerino; Langer, Ana

    2014-12-01

    HIV-related stigma and discrimination and disrespect and abuse during childbirth are barriers to use of essential maternal and HIV health services. Greater understanding of the relationship between HIV status and disrespect and abuse during childbirth is required to design interventions to promote women's rights and to increase uptake of and retention in health services; however, few comparative studies of women living with HIV (WLWH) and HIV-negative women exist. Mixed methods included interviews with postpartum women (n = 2000), direct observation during childbirth (n = 208), structured questionnaires (n = 50), and in-depth interviews (n = 18) with health care providers. Bivariate and multivariate regressions analyzed associations between HIV status and disrespect and abuse, whereas questionnaires and in-depth interviews provided insight into how provider attitudes and workplace culture influence practice. Of the WLWH and HIV-negative women, 12.2% and 15.0% reported experiencing disrespect and abuse during childbirth (P = 0.37), respectively. In adjusted analyses, no significant differences between WLWH and HIV-negative women's experiences of different types of disrespect and abuse were identified, with the exception of WLWH having greater odds of reporting non-consented care (P = 0.03). None of the WLWH reported violations of HIV confidentiality or attributed disrespect and abuse to their HIV status. Provider interviews indicated that training and supervision focused on prevention of vertical HIV transmission had contributed to changing the institutional culture and reducing HIV-related violations. In general, WLWH were not more likely to report disrespect and abuse during childbirth than HIV-negative women. However, the high overall prevalence of disrespect and abuse measured indicates a serious problem. Similar institutional priority as has been given to training and supervision to reduce HIV-related discrimination during childbirth should be focused on

  20. Multivariate pattern dependence.

    Directory of Open Access Journals (Sweden)

    Stefano Anzellotti

    2017-11-01

    Full Text Available When we perform a cognitive task, multiple brain regions are engaged. Understanding how these regions interact is a fundamental step to uncover the neural bases of behavior. Most research on the interactions between brain regions has focused on the univariate responses in the regions. However, fine grained patterns of response encode important information, as shown by multivariate pattern analysis. In the present article, we introduce and apply multivariate pattern dependence (MVPD: a technique to study the statistical dependence between brain regions in humans in terms of the multivariate relations between their patterns of responses. MVPD characterizes the responses in each brain region as trajectories in region-specific multidimensional spaces, and models the multivariate relationship between these trajectories. We applied MVPD to the posterior superior temporal sulcus (pSTS and to the fusiform face area (FFA, using a searchlight approach to reveal interactions between these seed regions and the rest of the brain. Across two different experiments, MVPD identified significant statistical dependence not detected by standard functional connectivity. Additionally, MVPD outperformed univariate connectivity in its ability to explain independent variance in the responses of individual voxels. In the end, MVPD uncovered different connectivity profiles associated with different representational subspaces of FFA: the first principal component of FFA shows differential connectivity with occipital and parietal regions implicated in the processing of low-level properties of faces, while the second and third components show differential connectivity with anterior temporal regions implicated in the processing of invariant representations of face identity.

  1. Analysis of drug abuse data reported by medical institutions in Taiwan from 2002 to 2011

    Directory of Open Access Journals (Sweden)

    Jui Hsu

    2014-06-01

    Full Text Available Drug abuse has become a global issue of concern. It affects not only individual users, but also their families and communities. Data were retrieved from the database of the Taiwan Surveillance System of Drug Abuse and Addiction Treatment (SSDAAT from 2002 to 2011, and 147,660 cases reported by medical institutions in Taiwan were reviewed. This study showed that the top five reported abused drugs by medical institutions during the last decade were heroin, methamphetamine, benzodiazepines, ketamine, and zolpidem. Heroin and methamphetamine continued to be the first two abused drugs reported by medical institutions. Heroin abuse was significant, but has shown a downward trend. However, emerging abused drugs, such as ketamine and zolpidem, presented upward trends. 3,4-Methylenedioxy-N-methylamphetamine (MDMA abuse seems to have re-emerged and has increased gradually since 2010. Injection without needle sharing has become the most common route of administration of abused drugs since 2002. The majority of causes for these reported drug abuses were drug dependence, followed by peer influence and stress relief. Hepatitis C was the most commonly reported infectious disease, followed by hepatitis B and AIDS in the drug abusers reported by medical institutions. It should be noted that access to drugs via the Internet increased year by year, and this is clearly an area needing constant monitoring.

  2. A corpus-based analysis of the discursive construction of gender identities via abusive language

    OpenAIRE

    Al-Harthi, Tahir; Hardie, Andrew; McEnery, Tony

    2015-01-01

    This thesis investigates the discursive construction of gender identities through the use of abusive language in YouTube comments sections. The study attempts to answer the following overarching research question: How is abusive language used in the construction of gendered identities by Arabic-speaking posters on YouTube? A corpus of more than 2 million words of YouTube comments is constructed to study discourses involving terms of abuse and abusive swearing targeted at males and females. Th...

  3. Attachment as a partial mediator of the relationship between emotional abuse and schizotypy.

    Science.gov (United States)

    Goodall, Karen; Rush, Robert; Grünwald, Lisa; Darling, Stephen; Tiliopoulos, Niko

    2015-12-15

    Developmental theories highlight the salience of attachment theory in explaining vulnerability towards psychosis. At the same time there is increasing recognition that psychosis is associated with childhood trauma variables. This study explored the interaction between attachment and several trauma variables in relation to schizotypy levels in a non-clinical sample. 283 non-clinical participants completed online measures of schizotypy, attachment, childhood abuse and neglect. When five types of abuse/neglect were entered into a linear regression analysis emotional abuse was the sole independent predictor of schizotypy. Age, attachment anxiety and avoidance were independent predictors after the effects of emotional abuse were controlled for. The overall model was significant, explaining 34% of the variation in schizotypy. Moderation analysis indicated that the effect of emotional abuse was not conditional upon attachment. Parallel mediation analysis indicated small but significant indirect effects of emotional abuse on schizotypy through attachment avoidance (13%) and attachment anxiety (8%). We conclude that emotional abuse contributes to vulnerability towards psychosis both directly and indirectly through attachment insecurity. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  4. Controlling behaviours and technology‐facilitated abuse perpetrated by men receiving substance use treatment in England and Brazil: Prevalence and risk factors

    Science.gov (United States)

    Canfield, Martha; Radcliffe, Polly; D'Oliveira, Ana Flavia Pires Lucas

    2017-01-01

    Abstract Introduction and Aims Controlling behaviours are highly prevalent forms of non‐physical intimate partner violence (IPV). The prevalence of perpetrating controlling behaviours and technology‐facilitated abuse (TFA) was compared by men receiving substance use treatment in England (n = 223) and Brazil (n = 280). Factors associated with perpetrating these behaviours towards their current/most recent partner and their association with other types of IPV were explored. Design and Methods Secondary analysis from two cross‐sectional studies was performed. Data on socio‐demographic characteristics, infidelity, IPV perpetration and victimisation, adverse childhood experiences (ACE), attitudes towards gender relations and roles, substance use, depressive symptoms and anger expression were collected. Results Sixty‐four percent (143/223) and 33% (73/223) of participants in England and 65% (184/280) and 20% (57/280) in Brazil reported controlling behaviours and TFA, respectively, during their current/most recent relationship. Excluding IPV victimisation from the multivariate models; perpetrating controlling behaviours was associated with a higher number of ACE, higher anger expression (England) and severe physical IPV perpetration (Brazil), and perpetrating TFA was associated with younger age. Including both IPV victimisation and perpetration in the multivariate models; perpetrating controlling behaviour was associated with experiencing a higher number of ACE, higher anger expression (England), emotional IPV victimisation (England) and experiencing controlling behaviour from a partner (England). The perpetration of TFA was associated with younger age and experiencing TFA from a partner. Conclusions Technological progress provides opportunities for perpetrators to control and abuse their partners. Controlling behaviours and TFA should be addressed to reduce IPV perpetration by males in substance use treatment. [Gilchrist G, Canfield M,Radcliffe P, d

  5. Multivariate Statistical Analysis of Water Quality data in Indian River Lagoon, Florida

    Science.gov (United States)

    Sayemuzzaman, M.; Ye, M.

    2015-12-01

    The Indian River Lagoon, is part of the longest barrier island complex in the United States, is a region of particular concern to the environmental scientist because of the rapid rate of human development throughout the region and the geographical position in between the colder temperate zone and warmer sub-tropical zone. Thus, the surface water quality analysis in this region always brings the newer information. In this present study, multivariate statistical procedures were applied to analyze the spatial and temporal water quality in the Indian River Lagoon over the period 1998-2013. Twelve parameters have been analyzed on twelve key water monitoring stations in and beside the lagoon on monthly datasets (total of 27,648 observations). The dataset was treated using cluster analysis (CA), principle component analysis (PCA) and non-parametric trend analysis. The CA was used to cluster twelve monitoring stations into four groups, with stations on the similar surrounding characteristics being in the same group. The PCA was then applied to the similar groups to find the important water quality parameters. The principal components (PCs), PC1 to PC5 was considered based on the explained cumulative variances 75% to 85% in each cluster groups. Nutrient species (phosphorus and nitrogen), salinity, specific conductivity and erosion factors (TSS, Turbidity) were major variables involved in the construction of the PCs. Statistical significant positive or negative trends and the abrupt trend shift were detected applying Mann-Kendall trend test and Sequential Mann-Kendall (SQMK), for each individual stations for the important water quality parameters. Land use land cover change pattern, local anthropogenic activities and extreme climate such as drought might be associated with these trends. This study presents the multivariate statistical assessment in order to get better information about the quality of surface water. Thus, effective pollution control/management of the surface

  6. Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Isabel Gallego-Alvarez

    2014-11-01

    Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

  7. [Identification of Methamphetamine Abuse and Selegiline Use: Chiral Analysis of Methamphetamine and Amphetamine in Urine].

    Science.gov (United States)

    Xiang, P; Bu, J; Qiao, Z; Zhuo, X Y; Wu, H J; Shen, M

    2017-12-01

    To study the content variation of selegiline and its metabolites in urine, and based on actual cases, to explore the feasibility for the identification of methamphetamine abuse and selegiline use by chiral analysis. The urine samples were tested by chiral separation and LC-MS/MS method using CHIROBIOTIC™ V2 chiral liquid chromatography column. The chiral analysis of methamphetamine and amphetamine were performed on the urine samples from volunteers of selegiline use and drug addicts whom suspected taking selegiline. After 5 mg oral administration, the positive test time of selegiline in urine was less than 7 h. The mass concentrations of R(-)-methamphetamine and R(-)-amphetamine in urine peaked at 7 h which were 0.86 μg/mL and 0.18 μg/mL and couldn't be detected after 80 h and 168 h, respectively. The sources of methamphetamine and amphetamine in the urine from the drug addicts whom suspected taking selegiline were analysed successfully by present method. The chiral analysis of methamphetamine and amphetamine, and the determination of selegiline's metabolites can be used to distinguish methamphetamine abuse from selegiline use. Copyright© by the Editorial Department of Journal of Forensic Medicine

  8. Multivariate statistical analysis of radioactive variables in two phosphate ores from Sudan

    International Nuclear Information System (INIS)

    Adam, Abdel Majid A.; Eltayeb, Mohamed Ahmed H.

    2012-01-01

    Multivariate statistical techniques are efficient ways to display complex relationships among many objects. An attempt was made to study the radioactive data in two types of Sudanese phosphate deposits; Kurun and Uro phosphate, using several multivariate statistical methods. Pearson correlation coefficient revealed that a U-238 distribution in Kurun phosphate is controlled by the variation of K-40 concentration, whereas in Uro phosphate it is controlled by the variation of U-235 and U-234 concentration. Histograms and normal Q–Q plots clearly show that the radioactive variables did not follow a normal distribution. This non-normality feature observed may be attributed to complicating influence of geological factors. The principal components analysis (PCA) gives a model of five components for representing the acquired data from Kurun phosphate, where 89.5% of the total variance is explained. A model of four components was sufficient to represent the acquired data from Uro phosphate, where 87.5% of the total data variance is explained. The hierarchical cluster analysis (HCA) indicates that U-238 behaves in the same manner in the two types of phosphates; it associated with a group of four radionuclides; U-234, Po-210, Ra-226, Th-230, which the most abundant radionuclides, and all belong to the uranium-238 decay series. Two parameters have been adapted for the direct differentiate between the two phosphates. Firstly, U-238 in Uro phosphate have shown higher degree of mobility (CV% = 82.6) than that in Kurun phosphate (CV% = 64.7), and secondly, the activity ratio of Th-230/Th-232 in Uro phosphate is nine times than that in Kurun phosphate. - Highlights: ► Multivariate statistical techniques were used to characterize radioactive data. ► U-238 in Uro phosphate shows higher degree of mobility (CV% = 82.6). ► U-238 in Kurun phosphate shows lower degree of mobility (CV% = 64.7). ► The radioactive variables did not follow a normal distribution. ► The ratio of Th

  9. Effect of Social Support and Disclosure of Child Abuse on Adult Suicidal Ideation: Findings From a Population-Based Study.

    Science.gov (United States)

    Baiden, Philip; Fallon, Barbara; Antwi-Boasiako, Kofi

    2017-11-16

    To examine the proportion of Canadian adults with a history of child abuse who disclosed the abuse to child protection services before age 16 years and identify the effect of social support and disclosure of child abuse on lifetime suicidal ideation. Data for this study came from the Statistics Canada 2012 Canadian Community Health Survey-Mental Health (N = 9,076). Binary logistic regression was conducted to identify the effect of social support and disclosure of child abuse on suicidal ideation while simultaneously adjusting for the effect of type of child abuse and demographic, socioeconomic, health, and mental health factors. Of the 9,076 respondents who experienced at least one child abuse event, 21.5% reported ever experiencing suicidal ideation. Fewer than 6% of the respondents disclosed the abuse to someone from a child protection service before age 16 years. In the multivariate logistic regression model, respondents who disclosed the abuse to someone from child protection services were 1.37 times more likely to report lifetime suicidal ideation (95% CI, 1.10-1.71) than those who did not. Each additional unit increase in social support decreased the odds of lifetime suicidal ideation by a factor of 3% (95% CI, 0.95-0.98). Social support interventions that are effective in improving individuals' perception that support is available to them may help reduce suicidal ideation among those with a history of child abuse. © Copyright 2017 Physicians Postgraduate Press, Inc.

  10. The application of ATR-FTIR spectroscopy and multivariate data analysis to study drug crystallisation in the stratum corneum.

    Science.gov (United States)

    Goh, Choon Fu; Craig, Duncan Q M; Hadgraft, Jonathan; Lane, Majella E

    2017-02-01

    Drug permeation through the intercellular lipids, which pack around and between corneocytes, may be enhanced by increasing the thermodynamic activity of the active in a formulation. However, this may also result in unwanted drug crystallisation on and in the skin. In this work, we explore the combination of ATR-FTIR spectroscopy and multivariate data analysis to study drug crystallisation in the skin. Ex vivo permeation studies of saturated solutions of diclofenac sodium (DF Na) in two vehicles, propylene glycol (PG) and dimethyl sulphoxide (DMSO), were carried out in porcine ear skin. Tape stripping and ATR-FTIR spectroscopy were conducted simultaneously to collect spectral data as a function of skin depth. Multivariate data analysis was applied to visualise and categorise the spectral data in the region of interest (1700-1500cm -1 ) containing the carboxylate (COO - ) asymmetric stretching vibrations of DF Na. Spectral data showed the redshifts of the COO - asymmetric stretching vibrations for DF Na in the solution compared with solid drug. Similar shifts were evident following application of saturated solutions of DF Na to porcine skin samples. Multivariate data analysis categorised the spectral data based on the spectral differences and drug crystallisation was found to be confined to the upper layers of the skin. This proof-of-concept study highlights the utility of ATR-FTIR spectroscopy in combination with multivariate data analysis as a simple and rapid approach in the investigation of drug deposition in the skin. The approach described here will be extended to the study of other actives for topical application to the skin. Copyright © 2016 Elsevier B.V. All rights reserved.

  11. Predictors of Intention of Reporting Child Abuse among Emergency Nurses.

    Science.gov (United States)

    Lee, Hye-Mi; Kim, Ji-Soo

    The current study investigates predictors of intention of reporting child abuse among emergency nurses in Korea. A descriptive cross-sectional design was used. Data were collected from 200 emergency nurses in eight general hospitals in Korea through a questionnaire that asked about their general characteristics, knowledge about child abuse, perceived behavioral control, experiences of child abuse cases and reporting, and attitude toward child abuse. Multiple regression analysis indicated that attitude toward child abuse was the most influential predictor of the intention of reporting child abuse among Korea's emergency nurses. Knowledge about child abuse, and perceived behavioral control were also significant influencing predictors of reporting intention. These variables explained 22.1% of the variances in the intention of reporting child abuse among emergency nurses. Reporting child abuse has not yet been established as a professional responsibility among Korea's emergency nurses. Increasing the level of awareness of the characteristics of child abuse and encouraging communication among nurses about the responsibility to report suspected child abuse will increase nurses' confidence to report. Training for reporting child abuse should be implemented in the near future to improve emergency nurses' understanding of child abuse. A support program is also needed to help emergency nurses build confidence in reporting child abuse as a professional responsibility. Copyright © 2017 Elsevier Inc. All rights reserved.

  12. An uncertain journey around the tails of multivariate hydrological distributions

    Science.gov (United States)

    Serinaldi, Francesco

    2013-10-01

    Moving from univariate to multivariate frequency analysis, this study extends the Klemeš' critique of the widespread belief that the increasingly refined mathematical structures of probability functions increase the accuracy and credibility of the extrapolated upper tails of the fitted distribution models. In particular, we discuss key aspects of multivariate frequency analysis applied to hydrological data such as the selection of multivariate design events (i.e., appropriate subsets or scenarios of multiplets that exhibit the same joint probability to be used in design applications) and the assessment of the corresponding uncertainty. Since these problems are often overlooked or treated separately, and sometimes confused, we attempt to clarify properties, advantages, shortcomings, and reliability of results of frequency analysis. We suggest a selection method of multivariate design events with prescribed joint probability based on simple Monte Carlo simulations that accounts for the uncertainty affecting the inference results and the multivariate extreme quantiles. It is also shown that the exploration of the p-level probability regions of a joint distribution returns a set of events that is a subset of the p-level scenarios resulting from an appropriate assessment of the sampling uncertainty, thus tending to overlook more extreme and potentially dangerous events with the same (uncertain) joint probability. Moreover, a quantitative assessment of the uncertainty of multivariate quantiles is provided by introducing the concept of joint confidence intervals. From an operational point of view, the simulated event sets describing the distribution of the multivariate p-level quantiles can be used to perform multivariate risk analysis under sampling uncertainty. As an example of the practical implications of this study, we analyze two case studies already presented in the literature.

  13. News Coverage of Child Sexual Abuse and Prevention, 2007-2009

    Science.gov (United States)

    Mejia, Pamela; Cheyne, Andrew; Dorfman, Lori

    2012-01-01

    News media coverage of child sexual abuse can help policymakers and the public understand what must be done to prevent future abuse, but coverage tends to focus on extreme cases. This article presents an analysis of newspaper coverage from 2007 to 2009 to describe how the daily news presents and frames day-to-day stories about child sexual abuse.…

  14. Elder abuse

    OpenAIRE

    1999-01-01

    Elder abuse takes many forms and occurs in a variety of settings; it is both under-recognised and under-reported. Despite a lack of statutory guidelines or legislation, effective management is possible. More could be done to recognise abuse, and healthcare workers need to be vigilant, paying attention to both the circumstances in which abuse occurs and its warning signs.

  15. Multivariate analysis of remote LIBS spectra using partial least squares, principal component analysis, and related techniques

    Energy Technology Data Exchange (ETDEWEB)

    Clegg, Samuel M [Los Alamos National Laboratory; Barefield, James E [Los Alamos National Laboratory; Wiens, Roger C [Los Alamos National Laboratory; Sklute, Elizabeth [MT HOLYOKE COLLEGE; Dyare, Melinda D [MT HOLYOKE COLLEGE

    2008-01-01

    Quantitative analysis with LIBS traditionally employs calibration curves that are complicated by the chemical matrix effects. These chemical matrix effects influence the LIBS plasma and the ratio of elemental composition to elemental emission line intensity. Consequently, LIBS calibration typically requires a priori knowledge of the unknown, in order for a series of calibration standards similar to the unknown to be employed. In this paper, three new Multivariate Analysis (MV A) techniques are employed to analyze the LIBS spectra of 18 disparate igneous and highly-metamorphosed rock samples. Partial Least Squares (PLS) analysis is used to generate a calibration model from which unknown samples can be analyzed. Principal Components Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) are employed to generate a model and predict the rock type of the samples. These MV A techniques appear to exploit the matrix effects associated with the chemistries of these 18 samples.

  16. Family abuse in Scotland : contesting universalisations and reconceptualising agency

    OpenAIRE

    Mirza, Nughmana

    2015-01-01

    By focusing on women’s lived experiences of family abuse, this thesis argues that state policy shows a lack of understanding of the nature of family abuse in one of Scotland’s largest minority communities: South Asian Muslims. Through a combination of a critical exploration of mainstream conceptualisations of domestic abuse, empirical research and policy analysis, I argue that by focusing on one-dimensional explanations such as gender and culture, state policy and some research...

  17. Elder Abuse in Nursing Homes: Do Special Care Units Make a Difference? A Secondary Data Analysis of the Swiss Nursing Homes Human Resources Project.

    Science.gov (United States)

    Blumenfeld Arens, Olivia; Fierz, Katharina; Zúñiga, Franziska

    2017-01-01

    In special care units (SCUs) for residents with advanced dementia, both personnel and organizations are adapted to the needs of residents. However, whether these adaptations have a preventive effect on elder abuse has not yet been explored. To describe the prevalence of observed emotional abuse, neglect, and physical abuse in Swiss nursing homes, to compare SCUs with non-SCUs concerning the frequency of observed emotional abuse, neglect, and physical abuse, and to explore how resident-related characteristics, staff outcomes/characteristics, and organizational/environmental factors relate to observed elder abuse. This is a secondary data analysis of the Swiss Nursing Homes Human Resources Project (SHURP), a cross-sectional multicenter study. Data were collected from 2012 to 2013 and are based on observed rather than perpetrated elder abuse. We performed multilevel mixed-effects logistic regressions taking into account the hierarchical structure of the data with personnel nested within units and facilities. Of 4,599 care workers in 400 units and 156 facilities, 50.8% observed emotional abuse, 23.7% neglect, and 1.4% physical abuse. There was no significant difference between SCUs and non-SCUs regarding observed emotional abuse and neglect. Higher scores for 'workload' and sexual aggression towards care workers were associated with higher rates of emotional abuse and neglect. Verbal and physical resident aggression, however, were only associated with higher rates of emotional abuse. Negative associations were found between 'teamwork and resident safety climate' and both forms of abuse. Improving teamwork and the safety climate and reducing work stressors might be promising points of intervention to reduce elder abuse. More specific research about elder abuse in SCUs and the interaction between work climate and elder abuse is required. © 2016 S. Karger AG, Basel.

  18. Hidden Abuse within the Home: Recognizing and Responding to Sibling Abuse

    Science.gov (United States)

    Stutey, Diane; Clemens, Elysia V.

    2015-01-01

    Sibling abuse is a serious phenomenon in our society that often goes unaddressed. Victims of sibling abuse experience psychological effects similar to those of child abuse (Caspi, 2012; Wiehe, 2002). The purpose of this article is to provide school counselors with a definition of sibling abuse and a five-step model to recognize and respond. A…

  19. Tipping Points and the Accommodation of the Abuser: Ongoing Incestuous Abuse during Adulthood

    Directory of Open Access Journals (Sweden)

    Warwick Middleton

    2015-07-01

    Full Text Available Until recently the widespread reality of ongoing incestuous abuse during adulthood had attracted no systematic research. The scientific literature was limited to the occasional case study and brief anecdotal references. This minimal literature was supplemented by biographical works written by or about victims of this form of abuse, and by press reports. With the advent of the Josef Fritzl case there was a very marked increase in the press reporting of such abuse, which in turn provided a reference point for more fine-grained data collection and scientific reporting. This paper introduces the subject of prolonged incest via the lens of organised abuse, summarises research on incestuous abuse and draws on multiple clinical examples to elucidate the mechanisms by which such abuse merges with, or develops into, variations of organised abuse, including that centred on the family, on prostitution, or on that involving abuse networks. The abuse practices, the net-working, and the ploys used to avoid prosecution practiced by the father perpetrating ongoing incestuous abuse during adulthood have much in common with other variants of organised sexual abuse.

  20. Multivariate Sensitivity Analysis of Time-of-Flight Sensor Fusion

    Science.gov (United States)

    Schwarz, Sebastian; Sjöström, Mårten; Olsson, Roger

    2014-09-01

    Obtaining three-dimensional scenery data is an essential task in computer vision, with diverse applications in various areas such as manufacturing and quality control, security and surveillance, or user interaction and entertainment. Dedicated Time-of-Flight sensors can provide detailed scenery depth in real-time and overcome short-comings of traditional stereo analysis. Nonetheless, they do not provide texture information and have limited spatial resolution. Therefore such sensors are typically combined with high resolution video sensors. Time-of-Flight Sensor Fusion is a highly active field of research. Over the recent years, there have been multiple proposals addressing important topics such as texture-guided depth upsampling and depth data denoising. In this article we take a step back and look at the underlying principles of ToF sensor fusion. We derive the ToF sensor fusion error model and evaluate its sensitivity to inaccuracies in camera calibration and depth measurements. In accordance with our findings, we propose certain courses of action to ensure high quality fusion results. With this multivariate sensitivity analysis of the ToF sensor fusion model, we provide an important guideline for designing, calibrating and running a sophisticated Time-of-Flight sensor fusion capture systems.

  1. Multivariate analysis of attachment of biofouling organisms in response to material surface characteristics.

    Science.gov (United States)

    Gatley-Montross, Caitlyn M; Finlay, John A; Aldred, Nick; Cassady, Harrison; Destino, Joel F; Orihuela, Beatriz; Hickner, Michael A; Clare, Anthony S; Rittschof, Daniel; Holm, Eric R; Detty, Michael R

    2017-12-29

    Multivariate analyses were used to investigate the influence of selected surface properties (Owens-Wendt surface energy and its dispersive and polar components, static water contact angle, conceptual sign of the surface charge, zeta potentials) on the attachment patterns of five biofouling organisms (Amphibalanus amphitrite, Amphibalanus improvisus, Bugula neritina, Ulva linza, and Navicula incerta) to better understand what surface properties drive attachment across multiple fouling organisms. A library of ten xerogel coatings and a glass standard provided a range of values for the selected surface properties to compare to biofouling attachment patterns. Results from the surface characterization and biological assays were analyzed separately and in combination using multivariate statistical methods. Principal coordinate analysis of the surface property characterization and the biological assays resulted in different groupings of the xerogel coatings. In particular, the biofouling organisms were able to distinguish four coatings that were not distinguishable by the surface properties of this study. The authors used canonical analysis of principal coordinates (CAP) to identify surface properties governing attachment across all five biofouling species. The CAP pointed to surface energy and surface charge as important drivers of patterns in biological attachment, but also suggested that differentiation of the surfaces was influenced to a comparable or greater extent by the dispersive component of surface energy.

  2. Assessment of exposure to drugs of abuse during pregnancy by hair analysis in a Mediterranean island.

    Science.gov (United States)

    Friguls, Bibiana; Joya, Xavier; Garcia-Serra, Joan; Gómez-Culebras, Mario; Pichini, Simona; Martinez, Susana; Vall, Oriol; Garcia-Algar, Oscar

    2012-08-01

      This study aims to estimate the prevalence of drug use by pregnant women living in Ibiza, using structured interviews and biomarkers in maternal hair. In addition, the potentially detrimental effects of maternal drug abuse on their newborns were investigated. Ibiza has a large international night-life resort associated with clubs, music and use of recreational drugs.   Hair samples were collected prospectively from January to March 2010 from a cohort of consecutive mothers after giving birth in the Hospital Can Misses in Ibiza.   Opiates, cocaine, cannabis, methadone, amphetamines, 3,4-methylenedioxymethamphetamine (MDMA) and their metabolites were detected in a 3-cm-long proximal segment of maternal hair corresponding to the last trimester of pregnancy by gas chromatography coupled to mass spectrometry (n = 107). Data on socio-demographic characteristics and on tobacco, alcohol, drugs of prescription and drugs of abuse consumption during pregnancy were collected using a structured questionnaire.   Hair analysis showed an overall 16% positivity for drugs of abuse in the third trimester of pregnancy, with a specific prevalence of cannabis, cocaine, MDMA and opiates use of 10.3, 6.4, 0.9 and 0%, respectively. In the questionnaires, only 1.9% of mothers declared using drugs of abuse during pregnancy. Gestational drug of abuse consumption was associated with active tobacco smoking, a higher number of smoked cigarettes and the mother being Spanish.   Illicit drug use is substantially under-reported among pregnant women living in Ibiza, particularly among Spanish nationals. Voluntary, routine objective biological toxicology screening should be considered as part of routine examinations in antenatal clinics on this Mediterranean island. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

  3. Abuse Is Abuse: The Influence of Type of Abuse, Victim Age, and Defendant Age on Juror Decision Making.

    Science.gov (United States)

    Sheahan, Chelsea L; Pica, Emily; Pozzulo, Joanna D

    2017-09-01

    The purpose of the current study was to examine the role of victim age, defendant age, and type of abuse on mock juror decision making. Mock jurors ( N = 556) read a trial transcript in which a soccer coach was accused of sexual abuse or physical abuse against a player. The victim's age (child, adolescent, or young adult), the defendant's age (young, middle age, or older adult), and the type of abuse (sexual or physical) were varied. Mock jurors provided a dichotomous and continuous verdict and rated their perceptions of the victim and the defendant. Although no differences on mock jurors' dichotomous verdict were found due to victim age, defendant age, or type of abuse, mock jurors provided higher guilt ratings when the abuse was sexual and both the victim and defendant were described as young adults. Similarly, mock jurors rated the victim more positively when the victim was described as a young adult (vs. child) for both sexual and physical abuse cases, and rated the defendant more positively when the victim was described as a child compared with young adult in sexual abuse cases. These findings suggest that mock jurors were largely influenced by victim age, particularly when the victim was described as an adult compared with a child.

  4. The relationship of manic episodes and drug abuse to sexual risk behavior in patients with co-occurring bipolar and substance use disorders: a 15-month prospective analysis.

    Science.gov (United States)

    Meade, Christina S; Fitzmaurice, Garrett M; Sanchez, Amy K; Griffin, Margaret L; McDonald, Leah J; Weiss, Roger D

    2011-11-01

    Risky sexual behavior is common among individuals with bipolar and substance use disorders. This 15-month prospective study examined the effects of between-subject differences and within-subject changes in mood symptoms and drug use on sexual risk behavior among 61 patients with both disorders. Participants completed five post-treatment follow-up assessments at 3-month intervals. Using a multivariate mixed-effects model analysis, more average weeks of mania (between-subject difference) was associated with greater sexual risk, but change in weeks of mania (within-subject change) was not; depression was unrelated to sexual risk. In addition, within-subject increases in days of cocaine use predicted increases in sexual risk. Results underscore the importance of substance abuse treatment and suggest that bipolar patients with active and/or recurrent mania are in need of targeted HIV prevention services. Further research is needed to test whether individual differences in impulsivity may explain the association between mania and sexual risk.

  5. Multivariate genetic analysis of brain structure in an extended twin design

    DEFF Research Database (Denmark)

    Posthuma, D; de Geus, E.J.; Neale, M.C.

    2000-01-01

    quantitative scale and thus can be assessed in affected and unaffected individuals. Continuous measures increase the statistical power to detect genetic effects (Neale et al., 1994), and allow studies to be designed to collect data from informative subjects such as extreme concordant or discordant pairs....... Intermediate phenotypes for discrete traits, such as psychiatric disorders, can be neurotransmitter levels, brain function, or structure. In this paper we conduct a multivariate analysis of data from 111 twin pairs and 34 additional siblings on cerebellar volume, intracranial space, and body height....... The analysis is carried out on the raw data and specifies a model for the mean and the covariance structure. Results suggest that cerebellar volume and intracranial space vary with age and sex. Brain volumes tend to decrease slightly with age, and males generally have a larger brain volume than females...

  6. Multivariate analysis of microarray data: differential expression and differential connection

    Directory of Open Access Journals (Sweden)

    Kiiveri Harri T

    2011-02-01

    Full Text Available Abstract Background Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically allows for correlation between genes. As a result we combine gene network ideas with linear models and differential expression. Results We use sparse inverse covariance matrices and their associated graphical representation to capture the notion of gene networks. An important issue in using these models is the identification of the pattern of zeroes in the inverse covariance matrix. The limitations of existing methods for doing this are discussed and we provide a workable solution for determining the zero pattern. We then consider a method for estimating the parameters in the inverse covariance matrix which is suitable for very high dimensional matrices. We also show how to construct multivariate tests of hypotheses. These overall multivariate tests can be broken down into two components, the first one being similar to tests for differential expression and the second involving the connections between genes. Conclusion The methods in this paper enable the extraction of a wealth of information concerning the relationships between genes which can be conveniently represented in graphical form. Differentially expressed genes can be placed in the context of the gene network and places in the gene network where unusual or interesting patterns have emerged can be identified, leading to the formulation of hypotheses for future experimentation.

  7. Comparing physically abusive, neglectful, and non-maltreating parents during interactions with their children: a meta-analysis of observational studies.

    Science.gov (United States)

    Wilson, Steven R; Rack, Jessica J; Shi, Xiaowei; Norris, Alda M

    2008-09-01

    To clarify the nature and extent of differences in the ways that physically abusive, neglectful, and non-maltreating parents communicate during interactions with their children. A meta-analysis was conducted of 33 observational studies comparing parent-child interactions in families where parents have a documented history of physical abuse or neglect vs. where parents have no history of child maltreatment. Parental behaviors were grouped into three clusters (positivity, aversiveness, and involvement) for comparison across studies. When comparing maltreating (physically abusive or neglectful) vs. non-maltreating parents, mean weighted effect sizes for the three behavioral clusters range from d=.46 to .62. Physically abusive parents are distinguished from non-maltreating parents more so than neglectful parents in terms of aversive behavior, whereas the reverse is true for involvement. Publication date, parent and child age, and task structure moderate the magnitude, though not direction, of differences. Parents with a documented history of child physical abuse or child neglect also are distinguished from non-maltreating parents by the levels of aversiveness, positivity, and involvement they display during interactions that constitute the parent-child relationship. Researchers and practitioners need to carefully consider sample size, length and setting of observation, and interaction tasks when using observational methods.

  8. Maternal Child Abuse and its Association with Maternal Anxiety in the Socio-Cultural Context of Iran

    Directory of Open Access Journals (Sweden)

    Zahra Esmaeili Douki

    2013-11-01

    Full Text Available Objectives: The prevalence of parental violence has been an area of major public concern. There are few available data detailing the ways parents and other caregivers discipline children, particularly in low and middle income countries. This study focuses on the prevalence of different types of maternal child abuse and its association with maternal anxiety in the socio-cultural context of Iran.Methods: Participants in this cross-sectional study consisted of 562 mothers with the last child aged from 1 month to 12 years old who attended the Amirkola Children’s Referral Hospital in Mazandaran Province, Iran, seeking healthcare services for their children. Demographic characteristics of the mothers, their children and reactions to conflicts with children were evaluated by a validated version of Conflict Tactics Scale for Parent and Child. Also, the relationship between maternal anxiety and child abuse was assessed using the Spielberger State-Trait Anxiety Inventory. The association between variables was examined by Pearson correlation coefficient, independent t-test, one-way ANOVA, and multivariate regression.Results: The prevalence of mother-to-child corporal punishment, severe physical abuse and very severe physical abuse were 436 (78%, 260 (46% and 180 (32%, respectively. Verbal emotional abuse was reported by 506 (90% participants and nonverbal emotional abuse was reported in 374 (67% cases. A correlation was observed between child abuse and mothers’ age (p=0.02, as well as with the number of children in the family (p=0.03, and the mothers’ trait anxiety (p<0.001.Conclusion: Overall, the assessment of maternal child abuse should be an important focus for evaluation in mothers with anxiety and vice versa, when child abuse is suspected, maternal psychological assessment should be essential.

  9. Corporal Punishment of Adolescents by Parents: A Risk Factor in the Epidemiology of Depression, Suicide, Alcohol Abuse, Child Abuse, and Wife Beating.

    Science.gov (United States)

    Straus, Murray A.; Kantor, Glenda Kaufman

    1994-01-01

    Studied large national sample of U.S. adults, finding that almost one-half recalled having been corporally punished during adolescence. Data analysis revealed that children who experienced corporal punishment in adolescence had increased risk later in life of depressive symptoms, suicidal thoughts, alcohol abuse, physical abuse of children, and…

  10. Child Abuse and Neglect: A Manual for the Pastoral Counselor.

    Science.gov (United States)

    This manual was developed to help the pastor identify, evaluate, and counsel families experiencing child abuse situations. Precise data is presented...agencies involved in treating child abuse . The causal factors - parent, child, and environment are discussed. A practical viewpoint and analysis of the legal...ramifications of child abuse are presented. This manual presents a biblical bases for the counseling model which determine intervention strategies

  11. Predicting a dissociative disorder from type of childhood maltreatment and abuser-abused relational tie.

    Science.gov (United States)

    Krüger, Christa; Fletcher, Lizelle

    2017-01-01

    We investigate the types of childhood maltreatment and abuser-abused relational ties that best predict a dissociative disorder (DD). Psychiatric inpatients (n = 116; mean age = 35; F:M = 1.28:1) completed measures of dissociation and trauma. Abuse type and abuser-abused relational ties were recorded in the Traumatic Experiences Questionnaire. Multidisciplinary team clinical diagnosis or administration of the SCID-D-R to high dissociators confirmed DD diagnoses. Logit models described the relationships between abuser-abused relational tie and the diagnostic grouping of patients, DD present (n = 16) or DD absent (n = 100). Fisher's exact tests measured the relative contribution of specific abuse types. There was a positive relationship between abuse frequency and the presence of DD. DD patients experienced more abuse than patients without DDs. Two combinations of abuse type and relational tie predicted a DD: childhood emotional neglect by biological parents/siblings and later emotional abuse by intimate partners. These findings support the early childhood etiology of DDs and subsequent maladaptive cycles of adult abuse. Enquiries about childhood maltreatment should include a history of emotional neglect by biological parents/siblings. Adult emotional abuse by intimate partners should assist in screening for DDs.

  12. Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models.

    Science.gov (United States)

    Wang, Yifan; Liu, Aiyi; Mills, James L; Boehnke, Michael; Wilson, Alexander F; Bailey-Wilson, Joan E; Xiong, Momiao; Wu, Colin O; Fan, Ruzong

    2015-05-01

    In genetics, pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. A common approach is to analyze the phenotypic traits separately using univariate analyses and combine the test results through multiple comparisons. This approach may lead to low power. Multivariate functional linear models are developed to connect genetic variant data to multiple quantitative traits adjusting for covariates for a unified analysis. Three types of approximate F-distribution tests based on Pillai-Bartlett trace, Hotelling-Lawley trace, and Wilks's Lambda are introduced to test for association between multiple quantitative traits and multiple genetic variants in one genetic region. The approximate F-distribution tests provide much more significant results than those of F-tests of univariate analysis and optimal sequence kernel association test (SKAT-O). Extensive simulations were performed to evaluate the false positive rates and power performance of the proposed models and tests. We show that the approximate F-distribution tests control the type I error rates very well. Overall, simultaneous analysis of multiple traits can increase power performance compared to an individual test of each trait. The proposed methods were applied to analyze (1) four lipid traits in eight European cohorts, and (2) three biochemical traits in the Trinity Students Study. The approximate F-distribution tests provide much more significant results than those of F-tests of univariate analysis and SKAT-O for the three biochemical traits. The approximate F-distribution tests of the proposed functional linear models are more sensitive than those of the traditional multivariate linear models that in turn are more sensitive than SKAT-O in the univariate case. The analysis of the four lipid traits and the three biochemical traits detects more association than SKAT-O in the univariate case. © 2015 WILEY PERIODICALS, INC.

  13. Using administrative data for longitudinal substance abuse research.

    Science.gov (United States)

    Evans, Elizabeth; Grella, Christine E; Murphy, Debra A; Hser, Yih-Ing

    2010-04-01

    The utilization of administrative data in substance abuse research has become more widespread than ever. This selective review synthesizes recent extant research from 31 articles to consider what has been learned from using administrative data to conduct longitudinal substance abuse research in four overlapping areas: (1) service access and utilization, (2) underrepresented populations, (3) treatment outcomes, and (4) cost analysis. Despite several notable limitations, administrative data contribute valuable information, particularly in the investigation of service system interactions and outcomes among substance abusers as they unfold and influence each other over the long term. This critical assessment of the advantages and disadvantages of using existing administrative data within a longitudinal framework should stimulate innovative thinking regarding future applications of administrative data for longitudinal substance abuse research purposes.

  14. Multivariate statistical analysis of a multi-step industrial processes

    DEFF Research Database (Denmark)

    Reinikainen, S.P.; Høskuldsson, Agnar

    2007-01-01

    Monitoring and quality control of industrial processes often produce information on how the data have been obtained. In batch processes, for instance, the process is carried out in stages; some process or control parameters are set at each stage. However, the obtained data might not be utilized...... efficiently, even if this information may reveal significant knowledge about process dynamics or ongoing phenomena. When studying the process data, it may be important to analyse the data in the light of the physical or time-wise development of each process step. In this paper, a unified approach to analyse...... multivariate multi-step processes, where results from each step are used to evaluate future results, is presented. The methods presented are based on Priority PLS Regression. The basic idea is to compute the weights in the regression analysis for given steps, but adjust all data by the resulting score vectors...

  15. Intelligent multivariate process supervision

    International Nuclear Information System (INIS)

    Visuri, Pertti.

    1986-01-01

    This thesis addresses the difficulties encountered in managing large amounts of data in supervisory control of complex systems. Some previous alarm and disturbance analysis concepts are reviewed and a method for improving the supervision of complex systems is presented. The method, called multivariate supervision, is based on adding low level intelligence to the process control system. By using several measured variables linked together by means of deductive logic, the system can take into account the overall state of the supervised system. Thus, it can present to the operators fewer messages with higher information content than the conventional control systems which are based on independent processing of each variable. In addition, the multivariate method contains a special information presentation concept for improving the man-machine interface. (author)

  16. Leaving an Abusive Relationship

    Science.gov (United States)

    ... Elder abuse Emotional and verbal abuse Financial abuse Harassment Human trafficking Physical abuse Sexual coercion Stalking Violence ... A teacher, counselor, or principal at your child’s school. An adult at your child’s school can help ...

  17. Analysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spaces

    KAUST Repository

    Migliorati, Giovanni

    2016-01-05

    We review the main results achieved in the analysis of the stability and accuracy of the discrete leastsquares approximation on multivariate polynomial spaces, with noiseless evaluations at random points, noiseless evaluations at low-discrepancy point sets, and noisy evaluations at random points.

  18. Child Sexual Abuse and the Media

    OpenAIRE

    Lee, J.

    2016-01-01

    This is the first book to explore child sexual abuse within global religious and media organisations. Termed here the dual narrative, there is, on the one hand, the view that everyone is a potential paedophile, and, on the other, the notion of a witch-hunt falsely accusing people. Beginning with a re-examination of historic claims of satanic ritual abuse, the author moves on to investigate global celebrity culture, the global religious context as well as an analysis of technology. The interna...

  19. The prevalence of HIV infection among cannabis-abused psychiatric ...

    African Journals Online (AJOL)

    The prevalence of HIV infection among cannabis-abused psychiatric patients: the case of federal psychiatric hospital, Calabar. ... called “Prevalence of HIV infection and Cannabis-Abused Questionnaire” (P.H.I.C.Q.), while data obtained were subjected to statistical analysis using contingency chi-square (X2) technique.

  20. Antecedents and outcomes of abusive supervision: test of a trickle-down model.

    Science.gov (United States)

    Aryee, Samuel; Chen, Zhen Xiong; Sun, Li-Yun; Debrah, Yaw A

    2007-01-01

    The authors examined antecedents of abusive supervision and the relative importance of interactional and procedural justice as mediators of the relationship between abusive supervision and the work outcomes of affective organizational commitment and individual- and organization-directed citizenship behaviors. Data were obtained from subordinate-supervisor dyads from a telecommunication company located in southeastern China. Results of moderated regression analysis revealed that authoritarian leadership style moderated the relationship between supervisors' perceptions of interactional justice and abusive supervision such that the relationship was stronger for supervisors high rather than low in authoritarian leadership style. In addition, results of structural equation modeling analysis revealed that subordinates' perceptions of interactional but not procedural justice fully mediated the relationship between abusive supervision and the work outcomes. Implications for future investigations of abusive supervision are discussed. 2007 APA, all rights reserved

  1. Use of multivariate analysis to research career advancement of academic librarians

    Directory of Open Access Journals (Sweden)

    Filiberto Felipe Martínez Arellano

    2004-01-01

    Full Text Available Diverse variables dealing with credential factors, bureaucratiuc factors, organizational and disciplinary achievements, academic culture factors, social ascribed factors, and institutional factors were stated as explanatory elements of promotion, tenure status, and earnings. A survey was the research instrument for collecting data to test diverse variables dealing with academic librarians rewards and earnings. Since the study attempted to analyze variables in a multivariate context, variable interactions were tested using multiple regression analysis. Findings of this study contribute to a better understanding of those factors influencing career advancement of academic librarians. Likewise, research methodology of this study could be used in Library and Information Science(LIS research.

  2. Analysis of trauma severity and the impact of abuse and neglect on personality traits in adolescents

    Directory of Open Access Journals (Sweden)

    Grujičić Roberto

    2016-01-01

    Full Text Available Introduction: Abuse and neglect might cause multiple and long-term consequences on physical and mental health, development and future life of children. The consequences that abuse and neglect cause on a child’s personality and functioning in adult life have particular importance. The aim: Determining the level of trauma, as well as differences in personality traits of adolescents who are on psychiatric treatment and has been registered in Department for the protection of children against abuse and neglect, comparing with children who are on psychiatric treatment but not abused, and control group of adolescents. Materials and methods: The study analysed three groups: abused group on psychiatric treatment, group on psychiatric treatment and not abused, and control healthy population. All subjects filled out General questionnaire with basic socio-demographical data, Childhood Trauma Questionnaire (CTQ, and Temperament and Character Adolescent Inventory (ATCI – 46. Results: There is statistically significant difference between groups in all types of abuse: physical, emotional, sexual, as well as emotional and physical neglect (p<0.001. Psychiatric group has significantly lower scores on Persistence (P (p<0.01, while abused group has lower scores on Harm avoidance (HA (p<0.05. Negative correlation between abuse and Self-transcendence (ST, and negative correlation between physical abuse and Self-directedness (SD has been shown. Conclusion: Abuse and neglect in children and adolescents are a significant cause of trauma and can cause different psychopathology, as well as changes on character and temperament traits.

  3. Conceptualization of the Complex Outcomes of Sexual Abuse: A Signal Detection Analysis

    Science.gov (United States)

    Pechtel, Pia; Evans, Ian M.; Podd, John V.

    2011-01-01

    Eighty-five New Zealand based practitioners experienced in treating adults with a history of child sexual abuse participated in an online judgment study of child sexual abuse outcomes using signal detection theory methodology. Participants' level of sensitivity was assessed independent of their degree of response bias when discriminating (a) known…

  4. Network analysis of substance abuse and dependence symptoms

    NARCIS (Netherlands)

    Rhemtulla, M.; Fried, E.I.; Aggen, S.H.; Tuerlinckx, F.; Kendler, K.S.; Borsboom, D.

    Background: The DSM uses one set of abuse and dependence criteria to assess multiple substance use disorders (SUDs). Most SUD research aggregates across these symptoms to study the behavior of SUD as a static construct. We use an alternative approach that conceptualizes symptoms as directly

  5. Multivariate analysis of TOF-SIMS spectra of monolayers on scribed silicon.

    Science.gov (United States)

    Yang, Li; Lua, Yit-Yian; Jiang, Guilin; Tyler, Bonnie J; Linford, Matthew R

    2005-07-15

    Static time-of-flight secondary ion mass spectrometry (TOF-SIMS) was performed on monolayers on scribed silicon (Si(scr)) derived from 1-alkenes, 1-alkynes, 1-holoalkanes, aldehydes, and acid chlorides. To rapidly determine the variation in the data without introducing user bias, a multivariate analysis was performed. First, principal components analysis (PCA) was done on data obtained from silicon scribed with homologous series of aldehydes and acid chlorides. For this study, the positive ion spectra, the negative ion spectra, and the concatentated (linked) positive and negative ion spectra were preprocessed by normalization, mean centering, and autoscaling. The mean centered data consistently showed the best correlations between the scores on PC1 and the number of carbon atoms in the adsorbate. These correlations were not as strong for the normalized and autoscaled data. After reviewing these methods, it was concluded that mean centering is the best preprocessing method for TOF-SIMS spectra of monolayers on Si(scr). A PCA analysis of all of the positive ion spectra revealed a good correlation between the number of carbon atoms in all of the adsorbates and the scores on PC1. PCA of all of the negative ion spectra and the concatenated positive and negative ion spectra showed a correlation based on the number of carbon atoms in the adsorbate and the class of the adsorbate. These results imply that the positive ion spectra are most sensitive to monolayer thickness, while the negative ion spectra are sensitive to the nature of the substrate-monolayer interface and the monolayer thickness. Loadings show an inverse relationship between (inorganic) fragments that are expected from the substrate and (organic) fragments expected from the monolayer. Multivariate peak intensity ratios were derived. It is also suggested that PCA can be used to detect outlier surfaces. Partial least squares showed a strong correlation between the number of carbon atoms in the adsorbate and the

  6. Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis

    Science.gov (United States)

    Ye, Lanhan; Song, Kunlin; Shen, Tingting

    2018-01-01

    Fast detection of heavy metals is very important for ensuring the quality and safety of crops. Laser-induced breakdown spectroscopy (LIBS), coupled with uni- and multivariate analysis, was applied for quantitative analysis of copper in three kinds of rice (Jiangsu rice, regular rice, and Simiao rice). For univariate analysis, three pre-processing methods were applied to reduce fluctuations, including background normalization, the internal standard method, and the standard normal variate (SNV). Linear regression models showed a strong correlation between spectral intensity and Cu content, with an R2 more than 0.97. The limit of detection (LOD) was around 5 ppm, lower than the tolerance limit of copper in foods. For multivariate analysis, partial least squares regression (PLSR) showed its advantage in extracting effective information for prediction, and its sensitivity reached 1.95 ppm, while support vector machine regression (SVMR) performed better in both calibration and prediction sets, where Rc2 and Rp2 reached 0.9979 and 0.9879, respectively. This study showed that LIBS could be considered as a constructive tool for the quantification of copper contamination in rice. PMID:29495445

  7. The complexities of elder abuse.

    Science.gov (United States)

    Roberto, Karen A

    2016-01-01

    Elder abuse is a growing societal concern, affecting at least 1 in 10 older Americans. Researchers and practitioners alike consistently assert that a dramatic discrepancy exists between the prevalence rates of elder abuse and the number of elder abuse cases reported. As a field of study, recognition and understanding of elder abuse is still emerging. Comparing findings of a small, but growing, body of literature on perceived and substantiated cases of elder abuse is challenging because there is no uniform term or agreed-upon definition used among state governments, researchers, health care and service providers, and advocates. This article summarizes current understanding of elder abuse, including what constitutes elder abuse, risk factors for elder abuse, perpetrators of elder abuse, and outcomes of elder abuse. Issues associated with the detection of elder abuse and intervention strategies for victims of abuse are addressed. In the final section, potential roles and contributions of psychologists for advancing elder abuse research, professional practice, and policy development are highlighted. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  8. Universal problems during residency: abuse and harassment.

    Science.gov (United States)

    Nagata-Kobayashi, Shizuko; Maeno, Tetsuhiro; Yoshizu, Misaki; Shimbo, Takuro

    2009-07-01

    Perceived abuse or harassment during residency has a negative impact on residents' health and well-being. This issue pertains not only to Western countries, but also to those in Asia. In order to launch strong international preventive measures against this problem, it is necessary to establish the generality and cultural specificity of this problem in different countries. Therefore, we investigated mistreatment among resident doctors in Japan. In 2007, a multi-institutional, cross-sectional survey was conducted at 37 hospitals. A total of 619 residents (409 men, 210 women) were recruited. Prevalence of mistreatment in six categories was evaluated: verbal abuse; physical abuse; academic abuse; sexual harassment; gender discrimination, and alcohol-associated harassment. In addition, alleged abusers, the emotional effects of abusive experiences, and reluctance to report the abuse to superiors were investigated. Male and female responses were statistically compared using chi-square analysis. A total of 355 respondents (228 men, 127 women) returned a completed questionnaire (response rate 57.4%). Mistreatment was reported by 84.8% of respondents (n = 301). Verbal abuse was the most frequently experienced form of mistreatment (n = 256, 72.1%), followed by alcohol-associated harassment (n = 184, 51.8%). Among women, sexual harassment was also often reported (n = 74, 58.3%). Doctors were most often reported as abusers (n = 124, 34.9%), followed by patients (n = 77, 21.7%) and nurses (n = 61, 17.2%). Abuse was reported to have occurred most frequently during surgical rotations (n = 98, 27.6%), followed by rotations in departments of internal medicine (n = 76, 21.4%), emergency medicine (n = 41, 11.5%) and anaesthesia (n = 40, 11.3%). Very few respondents reported their experiences of abuse to superiors (n = 36, 12.0%). The most frequent emotional response to experiences of abuse was anger (n = 84, 41.4%). Mistreatment during residency is a universal phenomenon. Deliberation

  9. Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow.

    Science.gov (United States)

    Gao, Zhong-Ke; Zhang, Xin-Wang; Jin, Ning-De; Marwan, Norbert; Kurths, Jürgen

    2013-09-01

    Characterizing complex patterns arising from horizontal oil-water two-phase flows is a contemporary and challenging problem of paramount importance. We design a new multisector conductance sensor and systematically carry out horizontal oil-water two-phase flow experiments for measuring multivariate signals of different flow patterns. We then infer multivariate recurrence networks from these experimental data and investigate local cross-network properties for each constructed network. Our results demonstrate that a cross-clustering coefficient from a multivariate recurrence network is very sensitive to transitions among different flow patterns and recovers quantitative insights into the flow behavior underlying horizontal oil-water flows. These properties render multivariate recurrence networks particularly powerful for investigating a horizontal oil-water two-phase flow system and its complex interacting components from a network perspective.

  10. SPICE: exploration and analysis of post-cytometric complex multivariate datasets.

    Science.gov (United States)

    Roederer, Mario; Nozzi, Joshua L; Nason, Martha C

    2011-02-01

    Polychromatic flow cytometry results in complex, multivariate datasets. To date, tools for the aggregate analysis of these datasets across multiple specimens grouped by different categorical variables, such as demographic information, have not been optimized. Often, the exploration of such datasets is accomplished by visualization of patterns with pie charts or bar charts, without easy access to statistical comparisons of measurements that comprise multiple components. Here we report on algorithms and a graphical interface we developed for these purposes. In particular, we discuss thresholding necessary for accurate representation of data in pie charts, the implications for display and comparison of normalized versus unnormalized data, and the effects of averaging when samples with significant background noise are present. Finally, we define a statistic for the nonparametric comparison of complex distributions to test for difference between groups of samples based on multi-component measurements. While originally developed to support the analysis of T cell functional profiles, these techniques are amenable to a broad range of datatypes. Published 2011 Wiley-Liss, Inc.

  11. Exploring gender and elder abuse from the perspective of professionals.

    Science.gov (United States)

    Weeks, Lori; Dupuis-Blanchard, Suzanne; Arseneault, Rina; MacQuarrie, Colleen; Gagnon, Danie; LeBlanc, Ginette Marie

    2018-01-01

    We conducted an online survey of professionals working in two Canadian provinces to learn about their knowledge of elder abuse from a gender-based perspective. A total of 169 professionals (90% women) completed a survey in either French or English. Five topic areas emerged from the analysis: the influence of gender on the risk of abuse; types of abuse detected; knowledge gaps; capacity to respond to gender-based abuse; and awareness of resources. To gain further insight into these results, we conducted three focus groups with a total of 24 professionals. Professionals held relatively little recognition of, or knowledge about, gender related to elder abuse. Our results indicate the need to develop educational and awareness raising opportunities for professionals who work with abused older adults in both French and English to identify and respond to the unique needs of older women and men.

  12. Alienation and Domestic Abuse: How Abused Women Cope with Loneliness

    Science.gov (United States)

    Arokach, Ami

    2006-01-01

    This study explored the manner in which abused women cope with loneliness. Eighty women, victims of domestic abuse, were compared to 84 women from the general population who have had no history of abusive relationships. A 34-item yes/no loneliness questionnaire was utilized in order to compare the "beneficial" ways of coping with loneliness in the…

  13. ANALYSIS ON EARLY CHILDHOOD SEXUAL ABUSE AND THE IMPLICATIONS IN ISLAMIC EDUCATION

    Directory of Open Access Journals (Sweden)

    Erhamwilda Erhamwilda

    2016-03-01

    Full Text Available Fulfillment of children's rights has been a concern of Indonesia stated in the ratification of the Convention on the Rights of the Child and Act No. 23 of 2002 on Child Protection. However, violence against children is increasing each year. The most dominant violence emerged in recent years is sexual abuse committed against children aged 5 to 11 years, and the perpetrators of sexual abuse are close with the children. Concern about cases of sexual abuse in early childhood and their impact, should be followed by an effort to develop a variety of approaches and methods of sex education in accordance with religious and cultural values in which children live.   

  14. Elder Abuse among African Americans

    Science.gov (United States)

    Tauriac, Jesse J.; Scruggs, Natoschia

    2006-01-01

    Perceptions of extreme, moderate, and mild forms of elder abuse among African-American women (n=25) and men (n=10) were examined. African-American respondents emphasized physical abuse when giving examples of extremely abusive behavior. Along with physical abuse, verbal abuse was the most frequently identified form of abuse, and was significantly…

  15. Identifying child abuse through text mining and machine learning

    NARCIS (Netherlands)

    Amrit, Chintan; Paauw, Tim; Aly, Robin; Lavric, Miha

    2017-01-01

    In this paper, we describe how we used text mining and analysis to identify and predict cases of child abuse in a public health institution. Such institutions in the Netherlands try to identify and prevent different kinds of abuse. A significant part of the medical data that the institutions have on

  16. Parent education: an evaluation of STEP on abusive parents' perceptions and abuse potential.

    Science.gov (United States)

    Fennell, D C; Fishel, A H

    1998-01-01

    To examine the effects of a structured, time-limited parent training group on abusive or potentially abusive parents. A pretest-posttest control group design was used with consenting parents (N = 18) to examine the effects of Systematic Training for Effective Parenting (STEP) on abusive parents' perceptions of their children's behaviors and on the parents' potential to physically abuse. The Adlerian Parental Assessment of Child Behavior Scale and the Child Abuse Potential Inventory were used to measure treatment effects. After participating in STEP, abusive parents had significantly more positive perceptions of their children and were significantly less potentially abusive. Using volunteers, the project cost an average of $100 for each parent. The research lends empirical support to individual psychology and family systems theory. Future research is indicated using larger samples to examine lay vs. professional leadership of the groups, as well as comparisons of different parenting programs with abusive parents.

  17. Monitoring Quality of Biotherapeutic Products Using Multivariate Data Analysis.

    Science.gov (United States)

    Rathore, Anurag S; Pathak, Mili; Jain, Renu; Jadaun, Gaurav Pratap Singh

    2016-07-01

    Monitoring the quality of pharmaceutical products is a global challenge, heightened by the implications of letting subquality drugs come to the market on public safety. Regulatory agencies do their due diligence at the time of approval as per their prescribed regulations. However, product quality needs to be monitored post-approval as well to ensure patient safety throughout the product life cycle. This is particularly complicated for biotechnology-based therapeutics where seemingly minor changes in process and/or raw material attributes have been shown to have a significant effect on clinical safety and efficacy of the product. This article provides a perspective on the topic of monitoring the quality of biotech therapeutics. In the backdrop of challenges faced by the regulatory agencies, the potential use of multivariate data analysis as a tool for effective monitoring has been proposed. Case studies using data from several insulin biosimilars have been used to illustrate the key concepts.

  18. Estimating attractiveness for abuse of a not-yet-marketed "abuse-deterrent" prescription opioid formulation.

    Science.gov (United States)

    Butler, Stephen F; Black, Ryan; Grimes Serrano, Jill M; Folensbee, Lesley; Chang, Alan; Katz, Nathaniel

    2010-01-01

    The present study builds on research to model abusers' perceptions of particular analgesics' attractiveness for abuse and extends these methods to derive an estimate of attractiveness for abuse of a not-yet-marketed abuse-deterrent formulation (ADF) of a prescription opioid (Remoxy), Pain Therapeutics, Inc., San Mateo, CA, and King Pharmaceuticals, Inc., Bristol, TN). In a previous study, the Opioid Attractiveness Technology Scaling (OATS) method identified, from a drug abuser's point of view, the particular features of a prescription opioid relevant to its attractiveness for recreational use. A second online sample rated the extent to which these features applied to particular products they had actually used/abused. These data were used to model the abusers' overall preference for prescription opioids they had used/abused. In the present study, this method was applied to a not-yet-marketed ADF using substance abuse counselors as proxies for prescription opioid abusers. Thirty-eight counselors were given materials describing the new ADF along with four known products. Thirty-two counselors demonstrated sufficient agreement with abusers' ratings of the overall attractiveness of these drugs. The overall model yielded a significant pseudo R(2) of 0.15 (P marketing estimates of attractiveness for abuse of not-yet-marketed ADFs.

  19. Elder abuse awareness in Italy: analysis of reports to the Prosecutor Office of Bologna.

    Science.gov (United States)

    Salsi, Giancarlo; Mazzotti, Maria Carla; Carosielli, Grazia; Ingravallo, Francesca; Pelotti, Susi

    2015-06-01

    In Italy, the prevalence of elder abuse is estimated from 10 to 12.7 %. Even if the elderly are not specifically protected by the Italian Penal Code, it contains several articles punishing crimes against disadvantaged groups in which elders may be included. Article 572 about mistreatment of family members or cohabitants, and article 643 about circumvention of incapable best fit elder abuse or neglect and financial fraud and exploitation, respectively. To evaluate the prevalence of reported elder abuse in Bologna and province (Italy) compared to available data on prevalence obtained by population-based surveys. Reports to the Prosecutor Office about articles 572 and 643 in the period from 2000 to 2013 were collected and analyzed according to victim's age at the report time. For article 572 a total of 3,713 reports were found. The prevalence of reports ranged from 0.005 to 0.024 % for victims older than 65 years. Concerning article 643 a total of 786 reports were detected, with a prevalence ranging from 0.007 to 0.016 % for victims older than 65 years. A large gap was found between reported crimes related to elder abuse and the estimated prevalence of elder abuse in Italy. Our results showed that in Italy efforts to improve strategic approach on elder abuse as well as research at various levels following the examples of other abusive situations are needed in both health and legal systems.

  20. Multivariate geomorphic analysis of forest streams: Implications for assessment of land use impacts on channel condition

    Science.gov (United States)

    Richard. D. Wood-Smith; John M. Buffington

    1996-01-01

    Multivariate statistical analyses of geomorphic variables from 23 forest stream reaches in southeast Alaska result in successful discrimination between pristine streams and those disturbed by land management, specifically timber harvesting and associated road building. Results of discriminant function analysis indicate that a three-variable model discriminates 10...

  1. How to Handle Abuse

    Science.gov (United States)

    ... Handle Abuse KidsHealth / For Kids / How to Handle Abuse What's in this article? Tell Right Away How Do You Know Something Is Abuse? ... babysitter, teacher, coach, or a bigger kid. Child abuse can happen anywhere — at ... building. Tell Right Away A kid who is being seriously hurt ...

  2. Outcomes for children hospitalized with abusive versus noninflicted abdominal trauma.

    Science.gov (United States)

    Lane, Wendy Gwirtzman; Lotwin, Irwin; Dubowitz, Howard; Langenberg, Patricia; Dischinger, Patricia

    2011-06-01

    Abusive abdominal trauma (AAT) is the second leading cause of child abuse mortality. Previous outcome studies have been limited to data from trauma centers. The goals of this study were (1) to examine mortality, length of hospitalization, and hospital charges among a national sample of children hospitalized for AAT; and (2) to compare these outcomes with children with noninflicted abdominal trauma. Hospitalization data for children aged 0 to 9 years were obtained from the 2003 and 2006 Kids' Inpatient Database. Cases were identified using International Classification of Diseases, Ninth Revision, Clinical Modification and external cause of injury codes. Multivariable regression analyses were used to compare outcomes of children with AAT versus those with noninflicted injury. Children with AAT were younger, and more often insured by Medicaid. Among children surviving to discharge, those with AAT had longer hospitalizations (adjusted mean [95% confidence interval (CI)] length of stay: 7.9 (6.6-9.3) vs 6.4 (6.1-6.7) days, P assist families at risk should be supported.

  3. Psychometric properties of the Vulnerability to Abuse Screening Scale for screening abuse of older adults

    Directory of Open Access Journals (Sweden)

    Raquel Batista Dantas

    Full Text Available ABSTRACT OBJECTIVE Adapt and evaluate the psychometric properties of the Vulnerability to Abuse Screening Scale to identify risk of domestic violence against older adults in Brazil. METHODS The instrument was adapted and validated in a sample of 151 older adults from a geriatric reference center in the municipality of Belo Horizonte, State of Minas Gerais, in 2014. We collected sociodemographic, clinical, and abuse-related information, and verified reliability by reproducibility in a sample of 55 older people, who underwent re-testing of the instrument seven days after the first application. Descriptive and comparative analyses were performed for all variables, with a significance level of 5%. The construct validity was analyzed by the principal components method with a tetrachoric correlation matrix, the reliability of the scale by the weighted Kappa (Kp statistic, and the internal consistency by the Kuder-Richardson estimator formula 20 (KR-20. RESULTS The average age of the participants was 72.1 years (DP = 6.96; 95%CI 70.94–73.17, with a maximum of 92 years, and they were predominantly female (76.2%; 95%CI 69.82–83.03. When analyzing the relationship between the scores of the Vulnerability to Abuse Screening Scale, categorized by presence (score > 3 or absence (score < 3 of vulnerability to abuse, with clinical and health conditions, we found statistically significant differences for self-perception of health (p = 0.002, depressive symptoms (p = 0.000, and presence of rheumatism (p = 0.003. There were no statistically significant differences between sexes. The Vulnerability to Abuse Screening Scale acceptably evaluated validity in the transcultural adaptation process, demonstrating dimensionality coherent with the original proposal (four factors. In the internal consistency analysis, the instrument presented good results (KR-20 = 0.69 and the reliability via reproducibility was considered excellent for the global scale (Kp = 0

  4. Pain in diagnostic hysteroscopy: a multivariate analysis after a randomized, controlled trial.

    Science.gov (United States)

    Mazzon, Ivan; Favilli, Alessandro; Grasso, Mario; Horvath, Stefano; Bini, Vittorio; Di Renzo, Gian Carlo; Gerli, Sandro

    2014-11-01

    To study which variables are able to influence women's experience of pain during diagnostic hysteroscopy. Multivariate analysis (phase II) after a randomized, controlled trial (phase I). Endoscopic gynecologic center. In phase I, 392 patients were analyzed. Group A: 197 women with carbon dioxide (CO2); group B: 195 women with normal saline. In phase II, 392 patients were assigned to two different groups according to their pain experience as measured by a visual analogue scale (VAS): group VAS>3 (170 patients); group VAS≤3 (222 patients). Free-anesthesia diagnostic hysteroscopy performed using CO2 or normal saline as distension media. Procedure time, VAS score, image quality, and side effects during and after diagnostic hysteroscopy. In phase I the median pain score in group A was 2, whereas in group B it was 3. In phase II the duration of the procedure, nulliparity, and the use of normal saline were significantly correlated with VAS>3. A higher presence of cervical synechiae was observed in the group VAS>3. The multivariate analysis revealed an inverse correlation between parity and a VAS>3, whereas the use of normal saline, the presence of synechiae in the cervical canal, and the duration of the hysteroscopy were all directly correlated to a VAS score>3. Pain in hysteroscopy is significantly related to the presence of cervical synechiae, to the duration of the procedure, and to the use of normal saline; conversely, parity seems to have a protective role. NCT01873391. Copyright © 2014 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  5. Drunk driving detection based on classification of multivariate time series.

    Science.gov (United States)

    Li, Zhenlong; Jin, Xue; Zhao, Xiaohua

    2015-09-01

    This paper addresses the problem of detecting drunk driving based on classification of multivariate time series. First, driving performance measures were collected from a test in a driving simulator located in the Traffic Research Center, Beijing University of Technology. Lateral position and steering angle were used to detect drunk driving. Second, multivariate time series analysis was performed to extract the features. A piecewise linear representation was used to represent multivariate time series. A bottom-up algorithm was then employed to separate multivariate time series. The slope and time interval of each segment were extracted as the features for classification. Third, a support vector machine classifier was used to classify driver's state into two classes (normal or drunk) according to the extracted features. The proposed approach achieved an accuracy of 80.0%. Drunk driving detection based on the analysis of multivariate time series is feasible and effective. The approach has implications for drunk driving detection. Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

  6. State of the art in hair analysis for detection of drug and alcohol abuse.

    Science.gov (United States)

    Pragst, Fritz; Balikova, Marie A

    2006-08-01

    Hair differs from other materials used for toxicological analysis because of its unique ability to serve as a long-term storage of foreign substances with respect to the temporal appearance in blood. Over the last 20 years, hair testing has gained increasing attention and recognition for the retrospective investigation of chronic drug abuse as well as intentional or unintentional poisoning. In this paper, we review the physiological basics of hair growth, mechanisms of substance incorporation, analytical methods, result interpretation and practical applications of hair analysis for drugs and other organic substances. Improved chromatographic-mass spectrometric techniques with increased selectivity and sensitivity and new methods of sample preparation have improved detection limits from the ng/mg range to below pg/mg. These technical advances have substantially enhanced the ability to detect numerous drugs and other poisons in hair. For example, it was possible to detect previous administration of a single very low dose in drug-facilitated crimes. In addition to its potential application in large scale workplace drug testing and driving ability examination, hair analysis is also used for detection of gestational drug exposure, cases of criminal liability of drug addicts, diagnosis of chronic intoxication and in postmortem toxicology. Hair has only limited relevance in therapy compliance control. Fatty acid ethyl esters and ethyl glucuronide in hair have proven to be suitable markers for alcohol abuse. Hair analysis for drugs is, however, not a simple routine procedure and needs substantial guidelines throughout the testing process, i.e., from sample collection to results interpretation.

  7. Child Abuse And The Educational Attainment Of Secondary School ...

    African Journals Online (AJOL)

    From the analysis, it is clear that child abuse has very strong psychological effects on the abused child and thus reduces his or her chances of active ... Among other factors, it was also observed that divorce, separation among spouses, infidelity, economic hardship and poverty leading to child labour, and illiteracy are ...

  8. Abusive Relationships

    Science.gov (United States)

    ... Safe Videos for Educators Search English Español Abusive Relationships KidsHealth / For Teens / Abusive Relationships Print en español Relaciones de maltrato Healthy Relationships = Respect & Trust Healthy relationships involve respect, trust, and ...

  9. Classification of Malaysia aromatic rice using multivariate statistical analysis

    Energy Technology Data Exchange (ETDEWEB)

    Abdullah, A. H.; Adom, A. H.; Shakaff, A. Y. Md; Masnan, M. J.; Zakaria, A.; Rahim, N. A. [School of Mechatronic Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600 Arau, Perlis (Malaysia); Omar, O. [Malaysian Agriculture Research and Development Institute (MARDI), Persiaran MARDI-UPM, 43400 Serdang, Selangor (Malaysia)

    2015-05-15

    Aromatic rice (Oryza sativa L.) is considered as the best quality premium rice. The varieties are preferred by consumers because of its preference criteria such as shape, colour, distinctive aroma and flavour. The price of aromatic rice is higher than ordinary rice due to its special needed growth condition for instance specific climate and soil. Presently, the aromatic rice quality is identified by using its key elements and isotopic variables. The rice can also be classified via Gas Chromatography Mass Spectrometry (GC-MS) or human sensory panels. However, the uses of human sensory panels have significant drawbacks such as lengthy training time, and prone to fatigue as the number of sample increased and inconsistent. The GC–MS analysis techniques on the other hand, require detailed procedures, lengthy analysis and quite costly. This paper presents the application of in-house developed Electronic Nose (e-nose) to classify new aromatic rice varieties. The e-nose is used to classify the variety of aromatic rice based on the samples odour. The samples were taken from the variety of rice. The instrument utilizes multivariate statistical data analysis, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and K-Nearest Neighbours (KNN) to classify the unknown rice samples. The Leave-One-Out (LOO) validation approach is applied to evaluate the ability of KNN to perform recognition and classification of the unspecified samples. The visual observation of the PCA and LDA plots of the rice proves that the instrument was able to separate the samples into different clusters accordingly. The results of LDA and KNN with low misclassification error support the above findings and we may conclude that the e-nose is successfully applied to the classification of the aromatic rice varieties.

  10. Classification of Malaysia aromatic rice using multivariate statistical analysis

    Science.gov (United States)

    Abdullah, A. H.; Adom, A. H.; Shakaff, A. Y. Md; Masnan, M. J.; Zakaria, A.; Rahim, N. A.; Omar, O.

    2015-05-01

    Aromatic rice (Oryza sativa L.) is considered as the best quality premium rice. The varieties are preferred by consumers because of its preference criteria such as shape, colour, distinctive aroma and flavour. The price of aromatic rice is higher than ordinary rice due to its special needed growth condition for instance specific climate and soil. Presently, the aromatic rice quality is identified by using its key elements and isotopic variables. The rice can also be classified via Gas Chromatography Mass Spectrometry (GC-MS) or human sensory panels. However, the uses of human sensory panels have significant drawbacks such as lengthy training time, and prone to fatigue as the number of sample increased and inconsistent. The GC-MS analysis techniques on the other hand, require detailed procedures, lengthy analysis and quite costly. This paper presents the application of in-house developed Electronic Nose (e-nose) to classify new aromatic rice varieties. The e-nose is used to classify the variety of aromatic rice based on the samples odour. The samples were taken from the variety of rice. The instrument utilizes multivariate statistical data analysis, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and K-Nearest Neighbours (KNN) to classify the unknown rice samples. The Leave-One-Out (LOO) validation approach is applied to evaluate the ability of KNN to perform recognition and classification of the unspecified samples. The visual observation of the PCA and LDA plots of the rice proves that the instrument was able to separate the samples into different clusters accordingly. The results of LDA and KNN with low misclassification error support the above findings and we may conclude that the e-nose is successfully applied to the classification of the aromatic rice varieties.

  11. Classification of Malaysia aromatic rice using multivariate statistical analysis

    International Nuclear Information System (INIS)

    Abdullah, A. H.; Adom, A. H.; Shakaff, A. Y. Md; Masnan, M. J.; Zakaria, A.; Rahim, N. A.; Omar, O.

    2015-01-01

    Aromatic rice (Oryza sativa L.) is considered as the best quality premium rice. The varieties are preferred by consumers because of its preference criteria such as shape, colour, distinctive aroma and flavour. The price of aromatic rice is higher than ordinary rice due to its special needed growth condition for instance specific climate and soil. Presently, the aromatic rice quality is identified by using its key elements and isotopic variables. The rice can also be classified via Gas Chromatography Mass Spectrometry (GC-MS) or human sensory panels. However, the uses of human sensory panels have significant drawbacks such as lengthy training time, and prone to fatigue as the number of sample increased and inconsistent. The GC–MS analysis techniques on the other hand, require detailed procedures, lengthy analysis and quite costly. This paper presents the application of in-house developed Electronic Nose (e-nose) to classify new aromatic rice varieties. The e-nose is used to classify the variety of aromatic rice based on the samples odour. The samples were taken from the variety of rice. The instrument utilizes multivariate statistical data analysis, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and K-Nearest Neighbours (KNN) to classify the unknown rice samples. The Leave-One-Out (LOO) validation approach is applied to evaluate the ability of KNN to perform recognition and classification of the unspecified samples. The visual observation of the PCA and LDA plots of the rice proves that the instrument was able to separate the samples into different clusters accordingly. The results of LDA and KNN with low misclassification error support the above findings and we may conclude that the e-nose is successfully applied to the classification of the aromatic rice varieties

  12. Multivariate statistical analysis - an application to lunar materials

    International Nuclear Information System (INIS)

    Deb, M.

    1978-01-01

    The compositional characteristics of clinopyroxenes and spinels - two minerals considered to be very useful in deciphering lunar history, have been studied using the multivariate statistical method of principal component analysis. The mineral-chemical data used are from certain lunar rocks and fines collected by Apollo 11, 12, 14 and 15 and Luna 16 and 20 missions, representing mainly the mare basalts and also non-mare basalts, breccia and rock fragments from the highland regions, in which a large number of these minerals have been analyzed. The correlations noted in the mineral compositions, indicating substitutional relationships, have been interpreted on the basis of available crystal-chemical and petrological informations. Compositional trends for individual specimens have been delineated and compared by producing ''principal latent vector diagrams''. The percent variance of the principal components denoted by the eigenvalues, have been evaluated in terms of the crystallization history of the samples. Some of the major petrogenetic implications of this study concern the role of early formed cumulate phases in the near-surface fractionation of mare basalts, mixing of mineral compositions in the highland regolith and the subsolidus reduction trends in lunar spinels. (auth.)

  13. Exploring the controversy in child abuse pediatrics and false accusations of abuse.

    Science.gov (United States)

    Gabaeff, Steven C

    2016-01-01

    There is a controversy in child abuse pediatrics between an established corps of child abuse pediatricians aligned with hospital colleagues and law enforcement, and a multi-specialty challenger group of doctors and other medical professionals working with public interest lawyers. The latter group questions the scientific validity of the core beliefs of child abuse pediatricians and believes that there are a substantial number of false accusations of abuse occurring. An unproven primary hypothesis, crafted around 1975 by a small group of pediatricians with an interest in child abuse, lies at the foundation of child abuse pediatrics. With no scientific study, it was hypothesized that subdural hemorrhage (SDH) and retinal hemorrhage (RH) were diagnostic of shaking abuse. That hypothesis became the so-called "shaken baby syndrome." Through the period 1975-1985, in a coordinated manner, these child abuse specialists coalesced under the American Academy of Pediatrics and began working with district attorneys and social workers, informing them of the ways in which their hypothesis could be applied to prosecutions of child abuse and life-altering social service interventions. In a legal context, using then-prevailing evidentiary rules which treated scientific expert testimony as valid if it was "generally accepted" in the field, they represented falsely that there was general acceptance of their hypothesis and therefore it was valid science. As the ability to convict based on this unproven prime hypothesis (SDH and RH equals abuse) increased, some defense attorneys were professionally compelled by their own doubts to reach out to experts from other fields with experience with SDH and RH, trauma, and biomechanics, for second opinions. Medical and legal challenges to the established thinking soon emerged, based on both old and new evidenced-based literature. As the intensity of the controversy increased, the probability of false accusation became more apparent and the need

  14. Social Disadvantage, Severe Child Abuse, and Biological Profiles in Adulthood.

    Science.gov (United States)

    Lee, Chioun; Coe, Christopher L; Ryff, Carol D

    2017-09-01

    Guided by the stress process model and the life course perspective, we hypothesize: (1) that childhood abuse is concentrated, in terms of type and intensity, among socially disadvantaged individuals, and (2) that experiencing serious abuse contributes to poor biological profiles in multiple body systems in adulthood. Data came from the Biomarker subsample of Midlife in the United States (2004-2006). We used latent class analysis to identify distinct profiles of childhood abuse, each reflecting a combination of type and severity. Results indicate that disadvantaged groups, women, and those from disadvantaged families are at greater risk of experiencing more severe and multiple types of abuse. Those with more severe and multifaceted childhood abuse show greater physiological dysregulation. Childhood abuse experiences partially accounted for the social status differences in physiological profiles. Our findings underscore that differential exposure to serious childhood stressors plays a significant role in gender and class inequalities in adult health.

  15. Elder physical abuse.

    Science.gov (United States)

    Young, Lisa M

    2014-11-01

    Physical abuse of the elderly is a significant public health concern. The true prevalence of all types is unknown, and under-reporting is known to be significant. The geriatric population is projected to increase dramatically over the next 10 years, and the number of abused individuals is projected to increase also. It is critical that health care providers feel competent in addressing physical elder abuse. This article presents cases illustrating the variety of presenting symptoms that may be attributed to physical elder abuse. Copyright © 2014 Elsevier Inc. All rights reserved.

  16. Multivariate regression analysis for determining short-term values of radon and its decay products from filter measurements

    International Nuclear Information System (INIS)

    Kraut, W.; Schwarz, W.; Wilhelm, A.

    1994-01-01

    A multivariate regression analysis is applied to decay measurements of α-resp. β-filter activcity. Activity concentrations for Po-218, Pb-214 and Bi-214, resp. for the Rn-222 equilibrium equivalent concentration are obtained explicitly. The regression analysis takes into account properly the variances of the measured count rates and their influence on the resulting activity concentrations. (orig.) [de

  17. Measuring Economic Abuse in the Lives of Survivors: Revising the Scale of Economic Abuse.

    Science.gov (United States)

    Postmus, Judy L; Plummer, Sara-Beth; Stylianou, Amanda M

    2016-05-01

    Recent attention has been given by researchers to understanding how abusers use economic abuse strategies. Unfortunately, limited measures are available to accurately understand the prevalence of economic abuse in the lives of survivors. Recently, researchers created the 28-item Scale of Economic Abuse (SEA) but further validation is needed. This article describes the psychometric evaluation of the SEA through confirmatory and exploratory factor analyses using data collected with 120 survivors of abuse. The findings provide evidence for the reliability and validity of the SEA-12 as a shorter instrument to measure economic abuse as a distinct form of abuse. © The Author(s) 2015.

  18. Tooth decay in alcohol and tobacco abusers

    Science.gov (United States)

    Rooban, Thavarajah; Vidya, KM; Joshua, Elizabeth; Rao, Anita; Ranganathan, Shanthi; Rao, Umadevi K; Ranganathan, K

    2011-01-01

    Background: Alcohol and tobacco abuse are detrimental to general and oral health. Though the effects of these harmful habits on oral mucosa had been demonstrated, their independent and combined effect on the dental caries experience is unknown and worthy of investigation. Materials and Methods: We compared 268 alcohol-only abusers with 2426 alcohol and tobacco abusers in chewing and smoking forms to test the hypothesis that various components of their dental caries experience are significantly different due to plausible sociobiological explanations. Clinical examination, Decay, Missing, Filled Teeth (DMFT) Index and Oral Hygiene Index - Simplified were measured in a predetermined format. Descriptive statistics, Chi-square test and one-way ANOVA analysis were done using SPSS Version 16.0. Result: The mean DMFT were 3.31, 3.24, 4.09, 2.89 for alcohol-only abusers, alcohol and chewing tobacco abusers, smoking tobacco and alcohol abusers, and those who abused tobacco in smoke and smokeless forms respectively. There was no significant difference between the oral hygiene care measures between the study groups. Presence of attrition among chewers and those with extrinsic stains experienced less caries than others. Discussion and conclusion: The entire study population exhibited a higher incidence of caries experience. Use of tobacco in any form appears to substantially increase the risk for dental caries. Attrition with use of chewing tobacco and presence of extrinsic stains with tobacco use appear to provide a protective effect from caries. The changes in oral micro-flora owing to tobacco use and alcohol may play a critical role in the initiation and progression of dental caries. PMID:21731272

  19. Analysis and assessment on heavy metal sources in the coastal soils developed from alluvial deposits using multivariate statistical methods.

    Science.gov (United States)

    Li, Jinling; He, Ming; Han, Wei; Gu, Yifan

    2009-05-30

    An investigation on heavy metal sources, i.e., Cu, Zn, Ni, Pb, Cr, and Cd in the coastal soils of Shanghai, China, was conducted using multivariate statistical methods (principal component analysis, clustering analysis, and correlation analysis). All the results of the multivariate analysis showed that: (i) Cu, Ni, Pb, and Cd had anthropogenic sources (e.g., overuse of chemical fertilizers and pesticides, industrial and municipal discharges, animal wastes, sewage irrigation, etc.); (ii) Zn and Cr were associated with parent materials and therefore had natural sources (e.g., the weathering process of parent materials and subsequent pedo-genesis due to the alluvial deposits). The effect of heavy metals in the soils was greatly affected by soil formation, atmospheric deposition, and human activities. These findings provided essential information on the possible sources of heavy metals, which would contribute to the monitoring and assessment process of agricultural soils in worldwide regions.

  20. Regional surveillance program for the detection of fatal infant abuse

    International Nuclear Information System (INIS)

    Kleinman, P.K.; Blackbourne, B.D.; Marks, S.C.; Adams, V.I.; Karellas, A.

    1987-01-01

    From 1984 to 1986, a regional surveillance program for the detection of infant abuse was carried out. Infants dying of uncertain cause were studied with a protocol designed to identify possible cases of infant abuse. At autopsy, resection of selected osseous material was performed, followed by meticulous specimen radiography and histopathologic analysis. Characteristic injuries involving the metaphyses, posterior rib arcs and spine, as well as less specific fractures of the long bone shafts and clavicles, were identified in eight abused infants. The authors believe that this multidisciplinary approach to unexplained infant death enhances detection of abuse and provides valuable documentary evidence for criminal prosecution

  1. Improving Service Utilization for Parents with Substance Abuse Problems: Experimenting with Recovery Coaches in Child Welfare.

    Science.gov (United States)

    Choi, Sam

    2015-01-01

    Substance abusers often face substantial systematic and personal barriers to receiving required substance abuse treatment services as well as other services; hence, various linkage mechanisms have been proposed for drug abuse treatment programs to overcome such barriers. Although there is a growing interest in the use of case management with a substance abuse background, its effectiveness in child welfare has yet to be explored. In this study the author attempts to investigate the effectiveness of case management in service utilization by systematically evaluating the five-year Alcohol and Other Drug Abuse (AODA) waiver demonstration project with Recovery Coaches in Illinois. A classic experimental design with a control group was used. Random assignment occurs at the agency level. Parents in the experimental group (N = 1562) received recovery coaches in addition to traditional child welfare services while parents in the control group (N = 598) only received traditional child welfare services. Bivariate and multivariate analyses (Ordinary Last Square regressions) were used. Compared to parents in the control group, parents in the experimental group were more likely to utilize substance abuse treatment. The results suggest that gender, education level, employment status, and the number of service needs were significantly associated with service utilization. Controlling other factors, recovery coaches improved overall service utilization. Because the outcome of child welfare often depends on the improvement of risks or resolution, it is important for parents to utilize the needed services. Future studies need to address what aspects of recovery coaches facilitate the services utilization.

  2. Cumulative environmental risk in substance abusing women: early intervention, parenting stress, child abuse potential and child development.

    Science.gov (United States)

    Nair, Prasanna; Schuler, Maureen E; Black, Maureen M; Kettinger, Laurie; Harrington, Donna

    2003-09-01

    To assess the relationship between cumulative environmental risks and early intervention, parenting attitudes, potential for child abuse and child development in substance abusing mothers. We studied 161 substance-abusing women, from a randomized longitudinal study of a home based early intervention, who had custody of their children through 18 months. The intervention group received weekly home visits in the first 6 months and biweekly visits from 6 to 18 months. Parenting stress and child abuse potential were assessed at 6 and 18 months postpartum. Children's mental and motor development (Bayley MDI and PDI) and language development (REEL) were assessed at 6, 12, and 18 months postpartum. Ten maternal risk factors were assessed: maternal depression, domestic violence, nondomestic violence, family size, incarceration, no significant other in home, negative life events, psychiatric problems, homelessness, and severity of drug use. Level of risk was recoded into four categories (2 or less, 3, 4, and 5 or more), which had adequate cell sizes for repeated measures analysis. Repeated measures analyses were run to examine how level of risk and group (intervention or control) were related to parenting stress, child abuse potential, and children's mental, motor and language development over time. Parenting stress and child abuse potential were higher for women with five risks or more compared with women who had four or fewer risks; children's mental, motor, and language development were not related to level of risk. Children in the intervention group had significantly higher scores on the PDI at 6 and 18 months (107.4 vs. 103.6 and 101.1 vs. 97.2) and had marginally better scores on the MDI at 6 and 12 months (107.7 vs. 104.2 and 103.6 vs. 100.1), compared to the control group. Compared to drug-abusing women with fewer than five risks, women with five or more risks found parenting more stressful and indicated greater inclination towards abusive and neglectful behavior

  3. Mulch materials in processing tomato: a multivariate approach

    Directory of Open Access Journals (Sweden)

    Marta María Moreno

    2013-08-01

    Full Text Available Mulch materials of different origins have been introduced into the agricultural sector in recent years alternatively to the standard polyethylene due to its environmental impact. This study aimed to evaluate the multivariate response of mulch materials over three consecutive years in a processing tomato (Solanum lycopersicon L. crop in Central Spain. Two biodegradable plastic mulches (BD1, BD2, one oxo-biodegradable material (OB, two types of paper (PP1, PP2, and one barley straw cover (BS were compared using two control treatments (standard black polyethylene [PE] and manual weed control [MW]. A total of 17 variables relating to yield, fruit quality, and weed control were investigated. Several multivariate statistical techniques were applied, including principal component analysis, cluster analysis, and discriminant analysis. A group of mulch materials comprised of OB and BD2 was found to be comparable to black polyethylene regarding all the variables considered. The weed control variables were found to be an important source of discrimination. The two paper mulches tested did not share the same treatment group membership in any case: PP2 presented a multivariate response more similar to the biodegradable plastics, while PP1 was more similar to BS and MW. Based on our multivariate approach, the materials OB and BD2 can be used as an effective, more environmentally friendly alternative to polyethylene mulches.

  4. Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Fei Liu

    2018-02-01

    Full Text Available Fast detection of heavy metals is very important for ensuring the quality and safety of crops. Laser-induced breakdown spectroscopy (LIBS, coupled with uni- and multivariate analysis, was applied for quantitative analysis of copper in three kinds of rice (Jiangsu rice, regular rice, and Simiao rice. For univariate analysis, three pre-processing methods were applied to reduce fluctuations, including background normalization, the internal standard method, and the standard normal variate (SNV. Linear regression models showed a strong correlation between spectral intensity and Cu content, with an R 2 more than 0.97. The limit of detection (LOD was around 5 ppm, lower than the tolerance limit of copper in foods. For multivariate analysis, partial least squares regression (PLSR showed its advantage in extracting effective information for prediction, and its sensitivity reached 1.95 ppm, while support vector machine regression (SVMR performed better in both calibration and prediction sets, where R c 2 and R p 2 reached 0.9979 and 0.9879, respectively. This study showed that LIBS could be considered as a constructive tool for the quantification of copper contamination in rice.

  5. Inhalant Abuse

    Science.gov (United States)

    ... is when you pour the product into a bag, hold it over your mouth and nose, and inhale. How is inhalant abuse diagnosed? If you think your child is abusing inhalants, talk to them. Be honest and open. Tell them ...

  6. Suicide among Young People and Adults in Ireland: Method Characteristics, Toxicological Analysis and Substance Abuse Histories Compared.

    Science.gov (United States)

    Arensman, Ella; Bennardi, Marco; Larkin, Celine; Wall, Amanda; McAuliffe, Carmel; McCarthy, Jacklyn; Williamson, Eileen; Perry, Ivan J

    2016-01-01

    Information on factors associated with suicide among young individuals in Ireland is limited. The aim of this study was to identify socio-demographic characteristics and circumstances of death associated with age among individuals who died by suicide. The study examined 121 consecutive suicides (2007-2012) occurring in the southern eastern part of Ireland (Cork city and county). Data were obtained from coroners, family informants, and health care professionals. A comparison was made between 15-24-year-old and 25-34-year-old individuals. Socio-demographic characteristics of the deceased, methods of suicide, history of alcohol and drug abuse, and findings from toxicological analysis of blood and urine samples taken at post mortem were included. Pearson's χ2 tests and binary logistic regression analysis were performed. Alcohol and/or drugs were detected through toxicological analysis for the majority of the total sample (79.5%), which did not differentiate between 15-24-year-old and 25-34-year-old individuals (74.1% and 86.2% respectively). Compared to 25-34-year-old individuals, 15-24-year-old individuals were more likely to engage in suicide by hanging (88.5%). Younger individuals were less likely to die by intentional drug overdose and carbon monoxide poisoning compared to older individuals. Younger individuals who died between Saturday and Monday were more likely to have had alcohol before dying. Substance abuse histories were similar in the two age groups. Based on this research it is recommended that strategies to reduce substance abuse be applied among 25-34-year-old individuals at risk of suicide. The wide use of hanging in young people should be taken into consideration for future means restriction strategies.

  7. Suicide among Young People and Adults in Ireland: Method Characteristics, Toxicological Analysis and Substance Abuse Histories Compared.

    Directory of Open Access Journals (Sweden)

    Ella Arensman

    Full Text Available Information on factors associated with suicide among young individuals in Ireland is limited. The aim of this study was to identify socio-demographic characteristics and circumstances of death associated with age among individuals who died by suicide.The study examined 121 consecutive suicides (2007-2012 occurring in the southern eastern part of Ireland (Cork city and county. Data were obtained from coroners, family informants, and health care professionals. A comparison was made between 15-24-year-old and 25-34-year-old individuals. Socio-demographic characteristics of the deceased, methods of suicide, history of alcohol and drug abuse, and findings from toxicological analysis of blood and urine samples taken at post mortem were included. Pearson's χ2 tests and binary logistic regression analysis were performed.Alcohol and/or drugs were detected through toxicological analysis for the majority of the total sample (79.5%, which did not differentiate between 15-24-year-old and 25-34-year-old individuals (74.1% and 86.2% respectively. Compared to 25-34-year-old individuals, 15-24-year-old individuals were more likely to engage in suicide by hanging (88.5%. Younger individuals were less likely to die by intentional drug overdose and carbon monoxide poisoning compared to older individuals. Younger individuals who died between Saturday and Monday were more likely to have had alcohol before dying. Substance abuse histories were similar in the two age groups.Based on this research it is recommended that strategies to reduce substance abuse be applied among 25-34-year-old individuals at risk of suicide. The wide use of hanging in young people should be taken into consideration for future means restriction strategies.

  8. The psychosocial consequences of child sexual abuse in Ethiopia: a case-control comparative analysis.

    Science.gov (United States)

    Wondie, Yemataw; Zemene, Workie; Tafesse, Biruk; Reschke, Konrad; Schröder, Harry

    2011-07-01

    Child sexual abuse (CSA) continues to be a pressing public health concern around the globe. Few existing reports, however, indicate the alarming rate at which the problem is increasing in sub-Saharan Africa. The present study is designed to investigate the psychosocial consequences of sexual abuse among child survivors in Ethiopia who were abused mainly through early marriage, rape, and child prostitution. Data are collected from 318 such CSA survivors-and 318 matched, non-sexually abused, normal controls- using the Children's Impact of Traumatic Events Scale-Revised and the Rosenberg Self-Esteem Scale. The results reveal the CSA survivors to be significantly more symptomatic than the control group: They demonstrated a lower degree of social support, a lower degree of empowerment, as well as a higher degree of guilt and increased likelihood of viewing the world as dangerous. Finally, these CSA survivors show a lower degree of positive self-worth than their non-sexually abused counterparts. These findings have important implications for the formulation of appropriate preventions and interventions to be undertaken by various stakeholders ranging from family to policy makers.

  9. Multivariate hydrological frequency analysis for extreme events using Archimedean copula. Case study: Lower Tunjuelo River basin (Colombia)

    Science.gov (United States)

    Gómez, Wilmar

    2017-04-01

    By analyzing the spatial and temporal variability of extreme precipitation events we can prevent or reduce the threat and risk. Many water resources projects require joint probability distributions of random variables such as precipitation intensity and duration, which can not be independent with each other. The problem of defining a probability model for observations of several dependent variables is greatly simplified by the joint distribution in terms of their marginal by taking copulas. This document presents a general framework set frequency analysis bivariate and multivariate using Archimedean copulas for extreme events of hydroclimatological nature such as severe storms. This analysis was conducted in the lower Tunjuelo River basin in Colombia for precipitation events. The results obtained show that for a joint study of the intensity-duration-frequency, IDF curves can be obtained through copulas and thus establish more accurate and reliable information from design storms and associated risks. It shows how the use of copulas greatly simplifies the study of multivariate distributions that introduce the concept of joint return period used to represent the needs of hydrological designs properly in frequency analysis.

  10. The Covariance Adjustment Approaches for Combining Incomparable Cox Regressions Caused by Unbalanced Covariates Adjustment: A Multivariate Meta-Analysis Study

    Directory of Open Access Journals (Sweden)

    Tania Dehesh

    2015-01-01

    Full Text Available Background. Univariate meta-analysis (UM procedure, as a technique that provides a single overall result, has become increasingly popular. Neglecting the existence of other concomitant covariates in the models leads to loss of treatment efficiency. Our aim was proposing four new approximation approaches for the covariance matrix of the coefficients, which is not readily available for the multivariate generalized least square (MGLS method as a multivariate meta-analysis approach. Methods. We evaluated the efficiency of four new approaches including zero correlation (ZC, common correlation (CC, estimated correlation (EC, and multivariate multilevel correlation (MMC on the estimation bias, mean square error (MSE, and 95% probability coverage of the confidence interval (CI in the synthesis of Cox proportional hazard models coefficients in a simulation study. Result. Comparing the results of the simulation study on the MSE, bias, and CI of the estimated coefficients indicated that MMC approach was the most accurate procedure compared to EC, CC, and ZC procedures. The precision ranking of the four approaches according to all above settings was MMC ≥ EC ≥ CC ≥ ZC. Conclusion. This study highlights advantages of MGLS meta-analysis on UM approach. The results suggested the use of MMC procedure to overcome the lack of information for having a complete covariance matrix of the coefficients.

  11. The Covariance Adjustment Approaches for Combining Incomparable Cox Regressions Caused by Unbalanced Covariates Adjustment: A Multivariate Meta-Analysis Study.

    Science.gov (United States)

    Dehesh, Tania; Zare, Najaf; Ayatollahi, Seyyed Mohammad Taghi

    2015-01-01

    Univariate meta-analysis (UM) procedure, as a technique that provides a single overall result, has become increasingly popular. Neglecting the existence of other concomitant covariates in the models leads to loss of treatment efficiency. Our aim was proposing four new approximation approaches for the covariance matrix of the coefficients, which is not readily available for the multivariate generalized least square (MGLS) method as a multivariate meta-analysis approach. We evaluated the efficiency of four new approaches including zero correlation (ZC), common correlation (CC), estimated correlation (EC), and multivariate multilevel correlation (MMC) on the estimation bias, mean square error (MSE), and 95% probability coverage of the confidence interval (CI) in the synthesis of Cox proportional hazard models coefficients in a simulation study. Comparing the results of the simulation study on the MSE, bias, and CI of the estimated coefficients indicated that MMC approach was the most accurate procedure compared to EC, CC, and ZC procedures. The precision ranking of the four approaches according to all above settings was MMC ≥ EC ≥ CC ≥ ZC. This study highlights advantages of MGLS meta-analysis on UM approach. The results suggested the use of MMC procedure to overcome the lack of information for having a complete covariance matrix of the coefficients.

  12. Micro-Raman Imaging for Biology with Multivariate Spectral Analysis

    KAUST Repository

    Malvaso, Federica

    2015-01-01

    . The aim of the following thesis work is to analyze Raman maps related to three pairs of different cells, highlighting differences and similarities through multivariate algorithms. The first pair of analyzed cells are human embryonic stem cells (h

  13. Bayesian inference for multivariate meta-analysis Box-Cox transformation models for individual patient data with applications to evaluation of cholesterol-lowering drugs.

    Science.gov (United States)

    Kim, Sungduk; Chen, Ming-Hui; Ibrahim, Joseph G; Shah, Arvind K; Lin, Jianxin

    2013-10-15

    In this paper, we propose a class of Box-Cox transformation regression models with multidimensional random effects for analyzing multivariate responses for individual patient data in meta-analysis. Our modeling formulation uses a multivariate normal response meta-analysis model with multivariate random effects, in which each response is allowed to have its own Box-Cox transformation. Prior distributions are specified for the Box-Cox transformation parameters as well as the regression coefficients in this complex model, and the deviance information criterion is used to select the best transformation model. Because the model is quite complex, we develop a novel Monte Carlo Markov chain sampling scheme to sample from the joint posterior of the parameters. This model is motivated by a very rich dataset comprising 26 clinical trials involving cholesterol-lowering drugs where the goal is to jointly model the three-dimensional response consisting of low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), and triglycerides (TG) (LDL-C, HDL-C, TG). Because the joint distribution of (LDL-C, HDL-C, TG) is not multivariate normal and in fact quite skewed, a Box-Cox transformation is needed to achieve normality. In the clinical literature, these three variables are usually analyzed univariately; however, a multivariate approach would be more appropriate because these variables are correlated with each other. We carry out a detailed analysis of these data by using the proposed methodology. Copyright © 2013 John Wiley & Sons, Ltd.

  14. Bayesian inference for multivariate meta-analysis Box-Cox transformation models for individual patient data with applications to evaluation of cholesterol lowering drugs

    Science.gov (United States)

    Kim, Sungduk; Chen, Ming-Hui; Ibrahim, Joseph G.; Shah, Arvind K.; Lin, Jianxin

    2013-01-01

    In this paper, we propose a class of Box-Cox transformation regression models with multidimensional random effects for analyzing multivariate responses for individual patient data (IPD) in meta-analysis. Our modeling formulation uses a multivariate normal response meta-analysis model with multivariate random effects, in which each response is allowed to have its own Box-Cox transformation. Prior distributions are specified for the Box-Cox transformation parameters as well as the regression coefficients in this complex model, and the Deviance Information Criterion (DIC) is used to select the best transformation model. Since the model is quite complex, a novel Monte Carlo Markov chain (MCMC) sampling scheme is developed to sample from the joint posterior of the parameters. This model is motivated by a very rich dataset comprising 26 clinical trials involving cholesterol lowering drugs where the goal is to jointly model the three dimensional response consisting of Low Density Lipoprotein Cholesterol (LDL-C), High Density Lipoprotein Cholesterol (HDL-C), and Triglycerides (TG) (LDL-C, HDL-C, TG). Since the joint distribution of (LDL-C, HDL-C, TG) is not multivariate normal and in fact quite skewed, a Box-Cox transformation is needed to achieve normality. In the clinical literature, these three variables are usually analyzed univariately: however, a multivariate approach would be more appropriate since these variables are correlated with each other. A detailed analysis of these data is carried out using the proposed methodology. PMID:23580436

  15. Screening Children for Abuse and Neglect: A Review of the Literature.

    Science.gov (United States)

    Hoft, Mary; Haddad, Lisa

    Child abuse and neglect occur in epidemic numbers in the United States and around the world, resulting in major physical and mental health consequences for abused children in the present and future. A vast amount of information is available on the signs and symptoms and short- and long-term consequences of abuse. A limited number of instruments have been empirically developed to screen for child abuse, with most focused on physical abuse in the context of the emergency department, which have been found to be minimally effective and lacking rigor. This literature review focuses on physical, sexual, and psychological abuse and neglect, occurring in one or multiple forms (polyabuse). A systematic, in-depth analysis of the literature was conducted. This literature review provides information for identifying children who have been abused and neglected but exposes the need for a comprehensive screening instrument or protocol that will capture all forms of child abuse and neglect. Screening needs to be succinct, user-friendly, and amenable for use with children at every point of care in the healthcare system.

  16. Economic well-being and elder abuse in Rajshahi district of Bangladesh.

    Science.gov (United States)

    Tareque, Md Ismail; Islam, Towfiqua Mahfuza; Koshio, Atsushi; Kawahara, Kazuo

    2015-02-01

    This article examines the distribution of wealth and then tests associations between elder abuse and wealth in Rajshahi district of Bangladesh. Data from 896 respondents (60 years old and over) were collected in April 2009. Principal component analysis was used to construct a wealth index, and logistic regressions were performed to test the associations between wealth and elder abuse. Results reveal that about 62% of individuals from poor households face abuse of some kind, whereas only 6% of individuals from rich households do. The test of the relationship between elder abuse and wealth also suggests that individuals from rich households were more likely not to be abused than individuals from poor households. Results of this study may be useful to policy makers developing policies and programs aimed at preventing elder abuse and reducing inequalities in elder abuse in Rajshahi district as well as in the whole of Bangladesh. © The Author(s) 2014.

  17. Network structure of multivariate time series.

    Science.gov (United States)

    Lacasa, Lucas; Nicosia, Vincenzo; Latora, Vito

    2015-10-21

    Our understanding of a variety of phenomena in physics, biology and economics crucially depends on the analysis of multivariate time series. While a wide range tools and techniques for time series analysis already exist, the increasing availability of massive data structures calls for new approaches for multidimensional signal processing. We present here a non-parametric method to analyse multivariate time series, based on the mapping of a multidimensional time series into a multilayer network, which allows to extract information on a high dimensional dynamical system through the analysis of the structure of the associated multiplex network. The method is simple to implement, general, scalable, does not require ad hoc phase space partitioning, and is thus suitable for the analysis of large, heterogeneous and non-stationary time series. We show that simple structural descriptors of the associated multiplex networks allow to extract and quantify nontrivial properties of coupled chaotic maps, including the transition between different dynamical phases and the onset of various types of synchronization. As a concrete example we then study financial time series, showing that a multiplex network analysis can efficiently discriminate crises from periods of financial stability, where standard methods based on time-series symbolization often fail.

  18. Neglected child with substance abuse leading to child abuse: A case report

    Directory of Open Access Journals (Sweden)

    Subramanian E

    2005-06-01

    Full Text Available Child abuse and neglect is any interaction or lack of interaction between a caregiver and a child resulting in nonaccidental harm to the child′s physical and developmental state. Substance abuse is ingestion of any drug, which is capable of altering the mental functioning eventually leading to addiction. This paper presents a case report of a 12-year-old neglected girl with substance abuse for which she was physically abused by her mother.

  19. Prevalence and characteristics of abuse experiences and depression symptoms among injection drug-using female sex workers in Mexico.

    Science.gov (United States)

    Ulibarri, Monica D; Hiller, Sarah P; Lozada, Remedios; Rangel, M Gudelia; Stockman, Jamila K; Silverman, Jay G; Ojeda, Victoria D

    2013-01-01

    This mixed methods study examined the prevalence and characteristics of physical and sexual abuse and depression symptoms among 624 injection drug-using female sex workers (FSW-IDUs) in Tijuana and Ciudad Juarez, Mexico; a subset of 47 from Tijuana also underwent qualitative interviews. Linear regressions identified correlates of current depression symptoms. In the interviews, FSW-IDUs identified drug use as a method of coping with the trauma they experienced from abuse that occurred before and after age 18 and during the course of sex work. In a multivariate linear regression model, two factors-ever experiencing forced sex and forced sex in the context of sex work-were significantly associated with higher levels of depression symptoms. Our findings suggest the need for integrated mental health and drug abuse services for FSW-IDUs addressing history of trauma as well as for further research on violence revictimization in the context of sex work in Mexico.

  20. Prevalence and Characteristics of Abuse Experiences and Depression Symptoms among Injection Drug-Using Female Sex Workers in Mexico

    Directory of Open Access Journals (Sweden)

    Monica D. Ulibarri

    2013-01-01

    Full Text Available This mixed methods study examined the prevalence and characteristics of physical and sexual abuse and depression symptoms among 624 injection drug-using female sex workers (FSW-IDUs in Tijuana and Ciudad Juarez, Mexico; a subset of 47 from Tijuana also underwent qualitative interviews. Linear regressions identified correlates of current depression symptoms. In the interviews, FSW-IDUs identified drug use as a method of coping with the trauma they experienced from abuse that occurred before and after age 18 and during the course of sex work. In a multivariate linear regression model, two factors—ever experiencing forced sex and forced sex in the context of sex work—were significantly associated with higher levels of depression symptoms. Our findings suggest the need for integrated mental health and drug abuse services for FSW-IDUs addressing history of trauma as well as for further research on violence revictimization in the context of sex work in Mexico.

  1. Drug abuse

    International Nuclear Information System (INIS)

    Simon, T.R.; Seastrunk, J.W.; Malone, G.; Knesevich, M.A.; Hickey, D.C.

    1991-01-01

    This paper reports that this study used SPECT to examine patients who have abused drugs to determine whether SPECT could identify abnormalities and whether these findings have clinical importance. Fifteen patients with a history of substance abuse (eight with cocaine, six with amphetamine, and one with organic solvent) underwent SPECT performed with a triple-headed camera and Tc-99m HMPAO both early for blood flow and later for functional information. These images were then processed into a 3D videotaped display used in group therapy. All 15 patients had multiple areas of decreased tracer uptake peppered throughout the cortex but mainly affecting the parietal lobes, expect for the organic solvent abuser who had a large parietal defect. The videotapes were subjectively described by a therapist as an exceptional tool that countered patient denial of physical damage from substance abuse. Statistical studies of recidivism between groups is under way

  2. The prevalence of elder abuse in the Porto Alegre metropolitan area

    Directory of Open Access Journals (Sweden)

    Camila Mello dos Santos

    2013-06-01

    Full Text Available Abuse of the elderly is a form of violence to come to the public's attention. Dental professionals are in an ideal position to identify physical abuse. The aim of this study was to assess the prevalence of elderly abuse and analyze the database of injury reports that can be identified by dental teams. A documentary analysis study developed by the Elderly Protection Police Station of Porto Alegre, Rio Grande do Sul, was carried out. The information used came from 2,304 complaints filed at the aforementioned institution between the years of 2004 and 2006. The records of abuse are categorized as injury, neglect, mistreatment, theft, financial abuse, threat, disturbing the peace, atypical fact, and others. The injuries that could be identified by the dental team were classified according to the injury's location in the area of the head, face, mouth and neck. Descriptive analysis was performed, and chi-square tests were used to evaluate the distributions of the types of elder abuse in relation to sex and age. The most frequent of the different types of abuse was theft, with a prevalence of 17.8%, followed by disturbing the peace at 11.8%. Disturbing the peace, threat, and bodily injury were significantly associated with women. Elder abuse among women and men declines with age. The prevalence of head injury was 25% of the total injuries, most often in females, and in those aged < 70 years. Based on these results, it is necessary that the dental team observe the elderly person's appearance for suspicious physical signs.

  3. Wife Abuse and Its Affecting Factors among the Married Woman

    Directory of Open Access Journals (Sweden)

    Hassan Shams-Esfandabad

    2004-10-01

    Full Text Available Objective: The incindence of wife abuse and its impacts on psychological as well as physical health of the women and in its ultimate negative effects on the health of the family have been presented in many researches. The purpose of the present study was to investigate physical and psychological wife abuse among the married women living in Tehran. Materials & Methods: Study sample (N=1000 consisted of two group of married women (18-45 years: those who did not refere to domestic curts (n= 800, and those who had problem with their husbands and therefore refered to domestic curts (n=200. Moffir et al. (15 Questionnaire has been applied. Results: Data analysis revealed that: psychological and physical wife abuse among subjects in the first group were 87/9 and 47/9 respectively. Psychological and physical wife abuse among subjects in the second group were 99/5 and 91 respectively. Wife abuse was significantly related to the age of the couples and duration of their marriage the older the couples and the longer the marriage, the higher the wife abuse. There was a significant negative relationship between education of the couples and wife abuse. The higher the education, the lesser the wife abuse. Those husbands who consumed alcohol or drug, abused their wives significantly more than those husbands who did not consume alcohol or drug. Husbands with psychological problems abused their wives significantly more than husbands without psychological problems. Psychological and physical wife abuse among the subjects in the second group were higher than psychological and physical wife abuse among the subjects in the first group. Conclusion: Our findings suggested that there are relationships among the variables of age, education, alcohol or drug consumption, husbands psychological disorders and wife abuse. Legislation of a low wich forbids husbands to abuse their wives and increament of the general knowledge about wife abuse by means of mass media may have

  4. HIV-TB Coinfection among 57 Million Pregnant Women, Obstetric Complications, Alcohol Use, Drug Abuse, and Depression.

    Science.gov (United States)

    Fernandez, Dorian; Salami, Imoleayo; Davis, Janelle; Mbah, Florence; Kazeem, Aisha; Ash, Abreah; Babino, Justin; Carter, Laquiesha; Salemi, Jason L; Spooner, Kiara K; Olaleye, Omonike A; Salihu, Hamisu M

    2018-01-01

    HIV and tuberculosis represent diseases of major public health importance worldwide. Very little is known about HIV-TB coinfection among pregnant women, especially from industrialized settings. In this study, we examined the association between TB, HIV, and HIV-TB coinfection among pregnant mothers and obstetric complications, alcohol use, drug abuse, and depression. We examined inpatient hospital discharges in the United States from January 1, 2002, through December 31, 2014. We employed multivariable survey logistic regression to generate adjusted estimates for the association between infection status and study outcomes. We analyzed approximately 57 million records of pregnant women and their delivery information. HIV-TB coinfection was associated with the highest risks for several obstetric complications, alcohol use, and drug abuse. The risk for alcohol abuse was more than twice as high among HIV-monoinfected as compared to TB-monoinfected mothers. That risk gap more than doubled with HIV-TB coinfection. Both HIV-monoinfected and HIV-TB coinfected mothers experienced similarly increased risks for depression. Mothers with HIV-TB coinfection experienced relatively heightened risks for obstetric complications, alcohol use, and drug abuse. The findings of this study underscore the importance of augmenting and enhancing social and structural support systems for HIV-TB coinfected pregnant women.

  5. Multivariate methods and forecasting with IBM SPSS statistics

    CERN Document Server

    Aljandali, Abdulkader

    2017-01-01

    This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Dis...

  6. The metabolic impact of methamphetamine on the systemic metabolism of rats and potential markers of methamphetamine abuse.

    Science.gov (United States)

    Zheng, Tian; Liu, Linsheng; Shi, Jian; Yu, Xiaoyi; Xiao, Wenjing; Sun, Runbing; Zhou, Yahong; Aa, Jiye; Wang, Guangji

    2014-07-01

    Although the stimulating and psychotropic effects of methamphetamine (METH) on the nervous system are well documented, the impact of METH abuse on biological metabolism and the turnover of peripheral transmitters are poorly understood. Metabolomics has the potential to reveal the effect of METH abuse on systemic metabolism and potential markers suggesting the underlying mechanism of toxicity. In this study, male Sprague Dawley rats were intraperitoneally injected with METH at escalating doses of mg kg(-1) for 5 consecutive days and then were withdrawn for 2 days. The metabolites in the serum and urine were profiled and the systemic effects of METH on metabolic pathways were evaluated. Multivariate statistical analysis showed that METH caused distinct deviations, whereas the withdrawal of METH restored the metabolic patterns towards baseline. METH administration elevated energy metabolism, which was manifested by the distinct depletion of branched-chain amino acids, accelerated tricarboxylic-acid cycle and lipid metabolism, reduced serum glycerol-3-phosphate, and elevated serum and urinary 3-hydroxybutyrate and urinary glycerol. In addition to the increased serum levels of the excitatory amino acids glutamate and aspartate (the inhibitory neurotransmitters in the brain), a marked decline in serum alanine and glycine after METH treatment suggested the activation and decreased inhibition of the nervous system and hence elevated nervous activity. Withdrawal of METH for 2 days efficiently restored all but a few metabolites to baseline, including serum creatinine, citrate, 2-ketoglutarate, and urinary lactate. Therefore, these metabolites are potential markers of METH use, and they may be used to facilitate the diagnosis of METH abuse.

  7. Determination of sulfamethoxazole and trimethoprim mixtures by multivariate electronic spectroscopy

    OpenAIRE

    Cordeiro, Gilcélia A.; Peralta-Zamora, Patricio; Nagata, Noemi; Pontarollo, Roberto

    2008-01-01

    In this work a multivariate spectroscopic methodology is proposed for quantitative determination of sulfamethoxazole and trimethoprim in pharmaceutical associations. The multivariate model was developed by partial least-squares regression, using twenty synthetic mixtures and the spectral region between 190 and 350 nm. In the validation stage, which involved the analysis of five synthetic mixtures, prediction errors lower that 3% were observed. The predictive capacity of the multivariate model...

  8. Factors That Influence Mandatory Child Abuse Reporting Attitudes of Pediatric Nurses in Korea.

    Science.gov (United States)

    Lee, In Sook; Kim, Kyoung Ja

    This study aimed to identify knowledge of child abuse, awareness of child abuse reporting, factors that influence attitudes toward mandatory reporting, and professionalism among a sample of pediatric nurses in Korea. One hundred sixteen pediatric nurses working at two university hospitals in Korea took part in the study and completed self-administered questionnaires. The data were analyzed using descriptive statistics, t tests, analysis of variance, Pearson correlation coefficients, and hierarchical regression analysis. Knowledge of child abuse, awareness of child abuse reporting, and attitudes toward mandatory reporting were low. Regarding nursing professionalism, social perceptions had the lowest mean score and nursing autonomy had the highest mean score. Attitudes toward mandatory reporting significantly correlated with professionalism. In the hierarchical regression model, the influences of nursing autonomy and intentions to report child abuse on attitudes toward mandatory reporting were statistically significant (F = 2.176, p = .013), explaining 32% of the variation in attitudes toward mandatory reporting. The results of this study could be used to improve systems and policies addressing child abuse and to further develop reporting procedures for identifying children at risk of abuse, to ensure their protection as a professional responsibility.

  9. Prescription drug abuse communication: A qualitative analysis of prescriber and pharmacist perceptions and behaviors.

    Science.gov (United States)

    Hagemeier, Nicholas E; Tudiver, Fred; Brewster, Scott; Hagy, Elizabeth J; Hagaman, Angela; Pack, Robert P

    that prescription drug abuse communication is uncomfortable, variable, multifactorial, and often avoided. The themes that emerged from this analysis support the utility of communication science and health behavior theories to better understand and improve PDA communication behaviors of both prescribers and pharmacists, and thereby improve engagement in PDA prevention and treatment. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. Banach frames for multivariate alpha-modulation spaces

    DEFF Research Database (Denmark)

    Borup, Lasse; Nielsen, Morten

    2006-01-01

    The α-modulation spaces [$Mathematical Term$], form a family of spaces that include the Besov and modulation spaces as special cases. This paper is concerned with construction of Banach frames for α-modulation spaces in the multivariate setting. The frames constructed are unions of independent Ri...... Riesz sequences based on tensor products of univariate brushlet functions, which simplifies the analysis of the full frame. We show that the multivariate α-modulation spaces can be completely characterized by the Banach frames constructed....

  11. Imaging of Neonatal Child Abuse with an Emphasis on Abusive Head Trauma

    NARCIS (Netherlands)

    van Rijn, Rick R.; Spevak, Melissa R.

    2011-01-01

    Child abuse and neglect is a serious clinical and socioeconomic problem that is sometimes underestimated. One of the most devastating forms is abusive head trauma. This review addresses the radiological workup in cases of suspected child abuse. The use of all modalities, and their advantages and

  12. Wife Abuse and the Wife Abuser: Review and Recommendations.

    Science.gov (United States)

    Carden, Ann D.

    1994-01-01

    Reviews clinical, theoretical, and empirical literature on wife abuse/abusers. Presents historical and contextual information, overview of domestic violence, prevalence data, and descriptions of evolution and current status of public and professional awareness and response. Proposes integrative model for understanding etiologic, dynamic, and…

  13. [Analysis of prenatal abuse in catalonia between the years 2011 and 2014].

    Science.gov (United States)

    Garcia Garcia, Jordi; Campistol Mas, Elena; López-Vilchez, María Ángeles; Morcillo Buscato, María José; Mur Sierra, Antonio

    2018-03-01

    Foetal abuse is that intentional or negligent act that causes a harmful effect to the foetus. It is a type of abuse difficult to diagnose and handle. Some indicators of suspicion are the absence of gestational control, the maternal consumption of toxic substances, or the problematic maternal social environment. To analyse the cases of foetal abuse registered in Catalonia between 2011 and 2014 to identify the risk profile. A cross-sectional descriptive study was conducted on a sample of 222 cases of prenatal abuse registered in Catalonia between 2011 and 2014. The mean maternal age was 28.11 years, with 63% of Spanish nationality, 76% were unemployed, 60% had not followed correct gestational control, 76% had previous pregnancy interruptions, 20% reported to have been mistreated by the partner, had history of social problems (76% social intervention, 30.5% previous child retention, 13% custody of the mother by the administration, 7% deprivation of liberty), with high rates of mother-to-child transmission of infection (HIV 4.95%, HCV 9%, HIV+HCV co-infection 1.8%), and 73% reported toxic use (in order of frequency, cannabis, cocaine and heroin). In newborns, the rate of prematurity (26.3%) is highlighted, as well as the diagnosis of withdrawal syndrome in 34 cases. Just over half (51.6%) of the infants are currently with their mother. In our reference population with a diagnosis of prenatal abuse, there are high rates of maternal toxic consumption, HIV-HCV infection, unemployment, history of previous social intervention, and poor gestational control. Copyright © 2017 Asociación Española de Pediatría. Publicado por Elsevier España, S.L.U. All rights reserved.

  14. Profile of children abused by burning.

    Science.gov (United States)

    Mathangi Ramakrishnan, K; Mathivanan, Y; Sankar, J

    2010-03-31

    In an analysis of paediatric burn admissions to a hospital in India during the years 1992-2007, 9.3% of burn injuries were found to be secondary to abuse. These had valid documented evidence and child neglect was excluded. This incidence of child abuse has been on the rise in the last seven years and was more evident due to careful investigation by a team comprising a plastic surgeon, a paediatrician, a legal expert, a psychologist, and a social worker. As with the incidence reported by many other researchers, most of the injuries were caused by scalding.

  15. A Morphometric Survey among Three Iranian Horse Breeds with Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    M. Hosseini

    2016-12-01

    Full Text Available Three Iranian horse breeds, Turkoman, Caspian, and Kurdish, are the most important Iranian horse breeds which are well known in all around of the world because of their beauty, versatility, great stamina, and  intelligence. Phenotypic characterization was used to identify and document the diversity within and between distinct breeds, based on their observable attributes. Phenotypic characterization and body biometric in 23 traits were measured in 191 purebred horses belonging to three breeds, i.e. Turkoman (70 horses, Kurdish (77 horses, and Caspian (44 horses.  Caspian breed was  sampled from the Provinces of Alborz and Gilan. Kurdish breed was sampled from the Provinces of Kurdistan, Kermanshah, and Hamadan. Turkoman breed was sampled from the Provinces of Golestan, Markazi, and Isfahan. Multivariate analysis of variance (MANOVA was implemented. In addition, Canonical Discriminate Analysis (CDA, Principal Component Analysis (PCA, and Custer analysis were executed for assessing the relationship among the breeds. All statistical analysis was executed by SAS statistical program. The results of our investigation represented the breeds classification into 3 different classes (Caspian, Turkoman, and Kurdish based on different morphometrical traits. Caspian breed with smaller size in most variables was detached clearly from the others with more distance than Kurdish and Turkoman breeds. The result showed that the most variably trait for classification was Hind Hoof Length. Adaptation with different environments causes difference in morphology and difference among breeds. We can identify and classify domestic population using PCA, CDA, and cluster analysis.

  16. Multivariate analysis in provenance studies: Cerrillos obsidians case, Peru

    International Nuclear Information System (INIS)

    Bustamante, A.; Delgado, M.; Latini, R. M.; Bellido, A. V. B.

    2007-01-01

    We present the preliminary results of a provenance study of obsidians samples from Cerrillos (ca. 800-100 b.c.) using Moessbauer Spectroscopy. The Cerrillos archaeological site, located in the Upper Ica Valley, Peru, is the only Paracas ceremonial center excavated so far. The archaeological data collected suggest the existence of a complex social and economic organization on the south coast of Peru. Provenance research of obsidian provides valuable information about the selection of lithic resources by our ancestors and eventually about the existence of communication routes and exchange networks. We characterized 18 obsidian artifacts samples by Moessbauer spectroscopy from Cerrillos. The spectra, recorded at room temperature using different velocities, are mainly composed of broad asymmetric doublets due to the superposition of at least two quadrupole doublets corresponding to Fe 2+ in two different sites (species A and B), one weak Fe 3+ doublet (specie C) and magnetic components associated to the presence of small particles of magnetite. Multivariate statistical analysis of the Moessbauer data (hyperfine parameters) allows to defined two main groups of obsidians, reflecting different geographical origins.

  17. Multivariate analysis in provenance studies: Cerrillos obsidians case, Peru

    Science.gov (United States)

    Bustamante, A.; Delgado, M.; Latini, R. M.; Bellido, A. V. B.

    2007-02-01

    We present the preliminary results of a provenance study of obsidians samples from Cerrillos (ca. 800 100 b.c.) using Mössbauer Spectroscopy. The Cerrillos archaeological site, located in the Upper Ica Valley, Peru, is the only Paracas ceremonial center excavated so far. The archaeological data collected suggest the existence of a complex social and economic organization on the south coast of Peru. Provenance research of obsidian provides valuable information about the selection of lithic resources by our ancestors and eventually about the existence of communication routes and exchange networks. We characterized 18 obsidian artifacts samples by Mössbauer spectroscopy from Cerrillos. The spectra, recorded at room temperature using different velocities, are mainly composed of broad asymmetric doublets due to the superposition of at least two quadrupole doublets corresponding to Fe2+ in two different sites (species A and B), one weak Fe3+ doublet (specie C) and magnetic components associated to the presence of small particles of magnetite. Multivariate statistical analysis of the Mössbauer data (hyperfine parameters) allows to defined two main groups of obsidians, reflecting different geographical origins.

  18. Dextromethorphan Abuse in Adolescence

    Science.gov (United States)

    Bryner, Jodi K.; Wang, Uerica K.; Hui, Jenny W.; Bedodo, Merilin; MacDougall, Conan; Anderson, Ilene B.

    2008-01-01

    Objectives To analyze the trend of dextromethorphan abuse in California and to compare these findings with national trends. Design A 6-year retrospective review. Setting California Poison Control System (CPCS), American Association of Poison Control Centers (AAPCC), and Drug Abuse Warning Network (DAWN) databases from January 1, 1999, to December 31, 2004. Participants All dextromethorphan abuse cases reported to the CPCS, AAPCC, and DAWN. The main exposures of dextromethorphan abuse cases included date of exposure, age, acute vs long-term use, coingestants, product formulation, and clinical outcome. Main Outcome Measure The annual proportion of dextromethorphan abuse cases among all exposures reported to the CPCS, AAPCC, and DAWN databases. Results A total of 1382 CPCS cases were included in the study. A 10-fold increase in CPCS dextromethorphan abuse cases from 1999 (0.23 cases per 1000 calls) to 2004 (2.15 cases per 1000 calls) (odds ratio, 1.48; 95% confidence interval, 1.43–1.54) was identified. Of all CPCS dextromethorphan abuse cases, 74.5% were aged 9 to 17 years; the frequency of cases among this age group increased more than 15-fold during the study (from 0.11 to 1.68 cases per 1000 calls). Similar trends were seen in the AAPCC and DAWN databases. The highest frequency of dextromethorphan abuse occurred among adolescents aged 15 and 16 years. The most commonly abused product was Coricidin HBP Cough & Cold Tablets. Conclusions Our study revealed an increasing trend of dextromethorphan abuse cases reported to the CPCS that is paralleled nationally as reported to the AAPCC and DAWN. This increase was most evident in the adolescent population. PMID:17146018

  19. Emotional Abuse History and Migraine Among Young Adults: A Retrospective Cross-Sectional Analysis of the Add Health Dataset.

    Science.gov (United States)

    Tietjen, Gretchen E; Karmakar, Monita; Amialchuk, Aliaksandr A

    2017-01-01

    To define and examine the relationship between self-reported childhood abuse and migraine among young adults. Headache and migraine have been linked to childhood abuse in numerous studies, but there is incomplete characterization of headache types, and limited assessment of abuse types and frequency. Only one population-based study has examined the relationship between emotional abuse and migraine. None have investigated the temporal relationship between onset of abuse and of migraine. We analyzed data from 14,356 adults aged 24-32 years in Wave 4, which is a cross-sectional subset of the longitudinal Add Health study. Participants were queried regarding abuse (emotional, physical and sexual) during childhood, diagnosis of migraine, depression and anxiety by healthcare providers, and symptoms of current depression. We used logistic regression to estimate the association between childhood abuse and migraine, controlling for socio-demographic factors, current depression, and lifetime diagnosis of anxiety and depression. About 14% (n = 2040) of respondents reported migraine. Participants with migraine (vs no migraine) reported significantly higher rates of childhood abuse overall (60.6% vs 48.9%), including emotional (57.8% vs 45.4%), sexual (8.4% vs 4.6%) and physical (22.4% vs 17.9%) abuse. Emotional abuse had a stronger association with migraine (odds ratio [OR] 1.62; 95% confidence interval [CI] 1.43-1.85) when compared with physical (OR 1.06; 95% CI 0.89-1.68) and sexual abuse (OR 1.06; 95% CI 0.93-1.68), adjusting for socio-demographic factors. The emotional abuse-migraine association remained even when controlling for lifetime diagnosis of depression and anxiety (OR 1.37; 95% CI 1.19-1.57) and for current depression (OR 1.47; 95% CI 1.30-1.67). The odds of migraine increased with increasing number of abuse types reported. There was a U-shaped distribution of odds of migraine associated with frequency of occurrences of emotional abuse, peaking at one time

  20. Conceptual bases of Christian, faith-based substance abuse rehabilitation programs: qualitative analysis of staff interviews.

    Science.gov (United States)

    McCoy, Lisa K; Hermos, John A; Bokhour, Barbara G; Frayne, Susan M

    2004-09-01

    Faith-based substance abuse rehabilitation programs provide residential treatment for many substance abusers. To determine key governing concepts of such programs, we conducted semi-structured interviews with sample of eleven clinical and administrative staff referred to us by program directors at six, Evangelical Christian, faith-based, residential rehabilitation programs representing two large, nationwide networks. Qualitative analysis using grounded theory methods examined how spirituality is incorporated into treatment and elicited key theories of addiction and recovery. Although containing comprehensive secular components, the core activities are strongly rooted in a Christian belief system that informs their understanding of addiction and recovery and drives the treatment format. These governing conceptions, that addiction stems from attempts to fill a spiritual void through substance use and recovery through salvation and a long-term relationship with God, provide an explicit, theory-driven model upon which they base their core treatment activities. Knowledge of these core concepts and practices should be helpful to clinicians in considering referrals to faith-based recovery programs.

  1. Inhalant Abuse and Dextromethorphan.

    Science.gov (United States)

    Storck, Michael; Black, Laura; Liddell, Morgan

    2016-07-01

    Inhalant abuse is the intentional inhalation of a volatile substance for the purpose of achieving an altered mental state. As an important, yet underrecognized form of substance abuse, inhalant abuse crosses all demographic, ethnic, and socioeconomic boundaries, causing significant morbidity and mortality in school-aged and older children. This review presents current perspectives on epidemiology, detection, and clinical challenges of inhalant abuse and offers advice regarding the medical and mental health providers' roles in the prevention and management of this substance abuse problem. Also discussed is the misuse of a specific "over-the-counter" dissociative, dextromethorphan. Copyright © 2016 Elsevier Inc. All rights reserved.

  2. Abuse of prescription drugs.

    OpenAIRE

    Wilford, B B

    1990-01-01

    An estimated 3% of the United States population deliberately misuse or abuse psychoactive medications, with severe consequences. According to the National Institute on Drug Abuse, more than half of patients who sought treatment or died of drug-related medical problems in 1989 were abusing prescription drugs. Physicians who contribute to this problem have been described by the American Medical Association as dishonest--willfully misprescribing for purposes of abuse, usually for profit; disable...

  3. Endogenous steroid profiling by gas chromatography-tandem mass spectrometry and multivariate statistics for the detection of natural hormone abuse in cattle

    NARCIS (Netherlands)

    Blokland, M.H.; Tricht, van E.F.; Rossum, van H.J.; Sterk, S.S.; Nielen, M.W.F.

    2012-01-01

    For years it has been suspected that natural hormones are illegally used as growth promoters in cattle in the European Union. Unfortunately there is a lack of methods and criteria that can be used to detect the abuse of natural hormones and distinguish treated from non-treated animals. Pattern

  4. Discrimination between Bacillus and Alicyclobacillus isolates in apple juice by Fourier transform infrared spectroscopy and multivariate analysis.

    Science.gov (United States)

    Al-Holy, Murad A; Lin, Mengshi; Alhaj, Omar A; Abu-Goush, Mahmoud H

    2015-02-01

    Alicyclobacillus is a causative agent of spoilage in pasteurized and heat-treated apple juice products. Differentiating between this genus and the closely related Bacillus is crucially important. In this study, Fourier transform infrared spectroscopy (FT-IR) was used to identify and discriminate between 4 Alicyclobacillus strains and 4 Bacillus isolates inoculated individually into apple juice. Loading plots over the range of 1350 and 1700 cm(-1) reflected the most distinctive biochemical features of Bacillus and Alicyclobacillus. Multivariate statistical methods (for example, principal component analysis and soft independent modeling of class analogy) were used to analyze the spectral data. Distinctive separation of spectral samples was observed. This study demonstrates that FT-IR spectroscopy in combination with multivariate analysis could serve as a rapid and effective tool for fruit juice industry to differentiate between Bacillus and Alicyclobacillus and to distinguish between species belonging to these 2 genera. © 2015 Institute of Food Technologists®

  5. Study on loss detection algorithms for tank monitoring data using multivariate statistical analysis

    International Nuclear Information System (INIS)

    Suzuki, Mitsutoshi; Burr, Tom

    2009-01-01

    Evaluation of solution monitoring data to support material balance evaluation was proposed about a decade ago because of concerns regarding the large throughput planned at Rokkasho Reprocessing Plant (RRP). A numerical study using the simulation code (FACSIM) was done and significant increases in the detection probabilities (DP) for certain types of losses were shown. To be accepted internationally, it is very important to verify such claims using real solution monitoring data. However, a demonstrative study with real tank data has not been carried out due to the confidentiality of the tank data. This paper describes an experimental study that has been started using actual data from the Solution Measurement and Monitoring System (SMMS) in the Tokai Reprocessing Plant (TRP) and the Savannah River Site (SRS). Multivariate statistical methods, such as a vector cumulative sum and a multi-scale statistical analysis, have been applied to the real tank data that have superimposed simulated loss. Although quantitative conclusions have not been derived for the moment due to the difficulty of baseline evaluation, the multivariate statistical methods remain promising for abrupt and some types of protracted loss detection. (author)

  6. A Study of Intimate Partner Violence, Substance Abuse, and Sexual Risk Behaviors Among Gay, Bisexual, and Other Men Who Have Sex With Men in a Sample of Geosocial-Networking Smartphone Application Users.

    Science.gov (United States)

    Duncan, Dustin T; Goedel, William C; Stults, Christopher B; Brady, William J; Brooks, Forrest A; Blakely, Jermaine S; Hagen, Daniel

    2018-03-01

    Geosocial-networking smartphone applications ("apps") are widely used by gay, bisexual, and other men who have sex with men (MSM) and facilitate connections between users based on proximity and attraction. MSM have sexual encounters and relationships of varying degrees of emotional and physical intimacy with app-met individuals, potentially placing them at risk for intimate partner violence (IPV). The purpose of the current study was to utilize a geosocial-networking application to investigate relationships between experiences of IPV victimization as it relates to substance use and sexual risk behaviors in a sample of MSM. Participants ( n = 175) were recruited by means of broadcast advertisements on an application widely used by MSM (Grindr) to seek sexual partners. Multivariable regression models were fit to examine associations between IPV, substance abuse, and sexual risk behaviors. Lifetime experiences of IPV victimization were common, where 37.7% of respondents reported having experienced at least one form of IPV. While a marginally significant positive association between IPV and substance abuse was detected in multivariable models ( p = .095), individual forms of IPV were strongly associated with substance abuse. For example, sexual IPV victimization was associated with an increase in substance abuse in the preceding month ( p = .004). Experiences of IPV victimization were associated with higher numbers of partners for both condomless receptive and insertive anal intercourse ( p < .05). Given the relatively high prevalence of IPV victimization and its associations with substance abuse and sexual risk behaviors, these findings suggest that IPV screening and prevention programs may reduce substance abuse and sexual risk behaviors in this population.

  7. Substances of abuse — demand for their determinations in the ...

    African Journals Online (AJOL)

    The analysis trends observed in this study demonstrate global patterns of drug abuse emerging in the Western Cape. The medical and social effects of drug abuse impose a grave responsibility on policymakers to ensure that adequate funding is available for analytical laboratories. Only in such a way can these patients be ...

  8. A Framework for Establishing Standard Reference Scale of Texture by Multivariate Statistical Analysis Based on Instrumental Measurement and Sensory Evaluation.

    Science.gov (United States)

    Zhi, Ruicong; Zhao, Lei; Xie, Nan; Wang, Houyin; Shi, Bolin; Shi, Jingye

    2016-01-13

    A framework of establishing standard reference scale (texture) is proposed by multivariate statistical analysis according to instrumental measurement and sensory evaluation. Multivariate statistical analysis is conducted to rapidly select typical reference samples with characteristics of universality, representativeness, stability, substitutability, and traceability. The reasonableness of the framework method is verified by establishing standard reference scale of texture attribute (hardness) with Chinese well-known food. More than 100 food products in 16 categories were tested using instrumental measurement (TPA test), and the result was analyzed with clustering analysis, principal component analysis, relative standard deviation, and analysis of variance. As a result, nine kinds of foods were determined to construct the hardness standard reference scale. The results indicate that the regression coefficient between the estimated sensory value and the instrumentally measured value is significant (R(2) = 0.9765), which fits well with Stevens's theory. The research provides reliable a theoretical basis and practical guide for quantitative standard reference scale establishment on food texture characteristics.

  9. A review of multivariate analyses in imaging genetics

    Directory of Open Access Journals (Sweden)

    Jingyu eLiu

    2014-03-01

    Full Text Available Recent advances in neuroimaging technology and molecular genetics provide the unique opportunity to investigate genetic influence on the variation of brain attributes. Since the year 2000, when the initial publication on brain imaging and genetics was released, imaging genetics has been a rapidly growing research approach with increasing publications every year. Several reviews have been offered to the research community focusing on various study designs. In addition to study design, analytic tools and their proper implementation are also critical to the success of a study. In this review, we survey recent publications using data from neuroimaging and genetics, focusing on methods capturing multivariate effects accommodating the large number of variables from both imaging data and genetic data. We group the analyses of genetic or genomic data into either a prior driven or data driven approach, including gene-set enrichment analysis, multifactor dimensionality reduction, principal component analysis, independent component analysis (ICA, and clustering. For the analyses of imaging data, ICA and extensions of ICA are the most widely used multivariate methods. Given detailed reviews of multivariate analyses of imaging data available elsewhere, we provide a brief summary here that includes a recently proposed method known as independent vector analysis. Finally, we review methods focused on bridging the imaging and genetic data by establishing multivariate and multiple genotype-phenotype associations, including sparse partial least squares, sparse canonical correlation analysis, sparse reduced rank regression and parallel ICA. These methods are designed to extract latent variables from both genetic and imaging data, which become new genotypes and phenotypes, and the links between the new genotype-phenotype pairs are maximized using different cost functions. The relationship between these methods along with their assumptions, advantages, and

  10. Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer’s Disease EEG

    Directory of Open Access Journals (Sweden)

    Isabella Palamara

    2012-07-01

    Full Text Available An original multivariate multi-scale methodology for assessing the complexity of physiological signals is proposed. The technique is able to incorporate the simultaneous analysis of multi-channel data as a unique block within a multi-scale framework. The basic complexity measure is done by using Permutation Entropy, a methodology for time series processing based on ordinal analysis. Permutation Entropy is conceptually simple, structurally robust to noise and artifacts, computationally very fast, which is relevant for designing portable diagnostics. Since time series derived from biological systems show structures on multiple spatial-temporal scales, the proposed technique can be useful for other types of biomedical signal analysis. In this work, the possibility of distinguish among the brain states related to Alzheimer’s disease patients and Mild Cognitive Impaired subjects from normal healthy elderly is checked on a real, although quite limited, experimental database.

  11. Substance abuse and child maltreatment.

    Science.gov (United States)

    Wells, Kathryn

    2009-04-01

    Pediatricians and other medical providers caring for children need to be aware of the dynamics in the significant relationship between substance abuse and child maltreatment. A caregiver's use and abuse of alcohol, marijuana, heroin, cocaine, methamphetamine, and other drugs place the child at risk in multiple ways. Members of the medical community need to understand these risks because the medical community plays a unique and important role in identifying and caring for these children. Substance abuse includes the abuse of legal drugs as well as the use of illegal drugs. The abuse of legal substances may be just as detrimental to parental functioning as abuse of illicit substances. Many substance abusers are also polysubstance users and the compounded effect of the abuse of multiple substances may be difficult to measure. Often other interrelated social features, such as untreated mental illness, trauma history, and domestic violence, affect these families.

  12. A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan

    Energy Technology Data Exchange (ETDEWEB)

    Lenzen, M. [University of Sydney (Australia). School of Physics; Wier, M. [Royal Veterinary and Agricultural University, Copenhagen (Denmark). Danish Research Institute of Food Economics; Cohen, C. [Universidade Federal Fluminense, Rio de Janeiro (Brazil). Faculdade de Economia; Hayami, Hitoshi [Keio University, Tokyo (Japan). Keio Economic Observatory; Pachauri, S. [Swiss Federal Institutes of Technology, Zurich (Switzerland). Centre for Energy Policy and Economics; Schaeffer, R. [Universidade Federal do Rio de Janeiro (Brazil). COPPE

    2006-03-01

    In this paper, we appraise sustainable household consumption from a global perspective. Using per capita energy requirements as an indicator of environmental pressure, we focus on the importance of income growth in a cross-country analysis. Our analysis is supported by a detailed within-country analysis encompassing five countries, in which we assess the importance of various socioeconomic-demographic characteristics of household energy requirements. We bring together family expenditure survey data, input-output tables, and energy statistics in a multivariate analysis. Instead of a uniform Kuznet's curve, we find that the effect of increasing income varies considerably across countries, even when controlling for socioeconomic and demographic variations. The latter variables show similar influences, but differing importance across countries. (author)

  13. Suicide among Young People and Adults in Ireland: Method Characteristics, Toxicological Analysis and Substance Abuse Histories Compared

    Science.gov (United States)

    Larkin, Celine; Wall, Amanda; McAuliffe, Carmel; McCarthy, Jacklyn; Williamson, Eileen; Perry, Ivan J.

    2016-01-01

    Objective Information on factors associated with suicide among young individuals in Ireland is limited. The aim of this study was to identify socio-demographic characteristics and circumstances of death associated with age among individuals who died by suicide. Methods The study examined 121 consecutive suicides (2007–2012) occurring in the southern eastern part of Ireland (Cork city and county). Data were obtained from coroners, family informants, and health care professionals. A comparison was made between 15-24-year-old and 25-34-year-old individuals. Socio-demographic characteristics of the deceased, methods of suicide, history of alcohol and drug abuse, and findings from toxicological analysis of blood and urine samples taken at post mortem were included. Pearson’s χ2 tests and binary logistic regression analysis were performed. Results Alcohol and/or drugs were detected through toxicological analysis for the majority of the total sample (79.5%), which did not differentiate between 15-24-year-old and 25-34-year-old individuals (74.1% and 86.2% respectively). Compared to 25-34-year-old individuals, 15-24-year-old individuals were more likely to engage in suicide by hanging (88.5%). Younger individuals were less likely to die by intentional drug overdose and carbon monoxide poisoning compared to older individuals. Younger individuals who died between Saturday and Monday were more likely to have had alcohol before dying. Substance abuse histories were similar in the two age groups. Conclusion Based on this research it is recommended that strategies to reduce substance abuse be applied among 25-34-year-old individuals at risk of suicide. The wide use of hanging in young people should be taken into consideration for future means restriction strategies. PMID:27898722

  14. The classification of secondary colorectal liver cancer in human biopsy samples using angular dispersive x-ray diffraction and multivariate analysis

    International Nuclear Information System (INIS)

    Theodorakou, Chrysoula; Farquharson, Michael J

    2009-01-01

    The motivation behind this study is to assess whether angular dispersive x-ray diffraction (ADXRD) data, processed using multivariate analysis techniques, can be used for classifying secondary colorectal liver cancer tissue and normal surrounding liver tissue in human liver biopsy samples. The ADXRD profiles from a total of 60 samples of normal liver tissue and colorectal liver metastases were measured using a synchrotron radiation source. The data were analysed for 56 samples using nonlinear peak-fitting software. Four peaks were fitted to all of the ADXRD profiles, and the amplitude, area, amplitude and area ratios for three of the four peaks were calculated and used for the statistical and multivariate analysis. The statistical analysis showed that there are significant differences between all the peak-fitting parameters and ratios between the normal and the diseased tissue groups. The technique of soft independent modelling of class analogy (SIMCA) was used to classify normal liver tissue and colorectal liver metastases resulting in 67% of the normal tissue samples and 60% of the secondary colorectal liver tissue samples being classified correctly. This study has shown that the ADXRD data of normal and secondary colorectal liver cancer are statistically different and x-ray diffraction data analysed using multivariate analysis have the potential to be used as a method of tissue classification.

  15. Application of Multivariate Statistical Analysis to Biomarkers in Se-Turkey Crude Oils

    Science.gov (United States)

    Gürgey, K.; Canbolat, S.

    2017-11-01

    Twenty-four crude oil samples were collected from the 24 oil fields distributed in different districts of SE-Turkey. API and Sulphur content (%), Stable Carbon Isotope, Gas Chromatography (GC), and Gas Chromatography-Mass Spectrometry (GC-MS) data were used to construct a geochemical data matrix. The aim of this study is to examine the genetic grouping or correlations in the crude oil samples, hence the number of source rocks present in the SE-Turkey. To achieve these aims, two of the multivariate statistical analysis techniques (Principle Component Analysis [PCA] and Cluster Analysis were applied to data matrix of 24 samples and 8 source specific biomarker variables/parameters. The results showed that there are 3 genetically different oil groups: Batman-Nusaybin Oils, Adıyaman-Kozluk Oils and Diyarbakir Oils, in addition to a one mixed group. These groupings imply that at least, three different source rocks are present in South-Eastern (SE) Turkey. Grouping of the crude oil samples appears to be consistent with the geographic locations of the oils fields, subsurface stratigraphy as well as geology of the area.

  16. APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS TO BIOMARKERS IN SE-TURKEY CRUDE OILS

    Directory of Open Access Journals (Sweden)

    K. Gürgey

    2017-11-01

    Full Text Available Twenty-four crude oil samples were collected from the 24 oil fields distributed in different districts of SE-Turkey. API and Sulphur content (%, Stable Carbon Isotope, Gas Chromatography (GC, and Gas Chromatography-Mass Spectrometry (GC-MS data were used to construct a geochemical data matrix. The aim of this study is to examine the genetic grouping or correlations in the crude oil samples, hence the number of source rocks present in the SE-Turkey. To achieve these aims, two of the multivariate statistical analysis techniques (Principle Component Analysis [PCA] and Cluster Analysis were applied to data matrix of 24 samples and 8 source specific biomarker variables/parameters. The results showed that there are 3 genetically different oil groups: Batman-Nusaybin Oils, Adıyaman-Kozluk Oils and Diyarbakir Oils, in addition to a one mixed group. These groupings imply that at least, three different source rocks are present in South-Eastern (SE Turkey. Grouping of the crude oil samples appears to be consistent with the geographic locations of the oils fields, subsurface stratigraphy as well as geology of the area.

  17. Abusive families and character formation.

    Science.gov (United States)

    McCarthy, J B

    1990-06-01

    Family research studies confirm that abusive parents tend to be undifferentiated partners who compete with each other and with their children for attention and nurturance. More or less healthy parents make demands on children to counteract their own injured narcissism, but they do so largely without devaluation and the sadistic use of projective identification. Under sufficient stress abusive parents attack the child who fails to gratify their needs, thereby giving vent to longstanding frustrations and feelings of being threatened by the child's individuation and competency. The emotional atmosphere in such families facilitates ego deficits like those of the borderline personality as it molds the child's efforts to avoid anxiety. Devaluation, loss, and defenses against mourning partially account for depression and paranoid traits in abused youngsters. Early neglect and abuse exposes them to influential models who act out rage and primitive defenses. Some abused individuals project their rage and later become paranoid or antisocial, whereas others fragment or retain infantile defenses. The destructiveness of severe psychological abuse lies in the constriction of the experiencing self and healthy character development, together with the conditioning to repeat abusive relationships and to avoid intimacy. Achieving individuation under these circumstances entails overcoming the internalized abusive relationships and relinquishing the unconscious wish to be transformed from the abused into the abuser.

  18. Alternative drugs of abuse.

    Science.gov (United States)

    Sutter, M E; Chenoweth, J; Albertson, T E

    2014-02-01

    The incidence of drug abuse with alternative agents is increasing. The term "alternative drugs of abuse" is a catch-all term for abused chemicals that do not fit into one of the classic categories of drugs of abuse. The most common age group abusing these agents range from 17 to 25 years old and are often associated with group settings. Due to their diverse pharmacological nature, legislative efforts to classify these chemicals as a schedule I drug have lagged behind the development of new alternative agents. The potential reason for abuse of these agents is their hallucinogenic, dissociative, stimulant, anti-muscarinic, or sedative properties. Some of these drugs are easily obtainable such as Datura stramonium (Jimson Weed) or Lophophora williamsii (Peyote) because they are natural plants indigenous to certain regions. The diverse pharmacology and clinical effects of these agents are so broad that they do not produce a universal constellation of signs and symptoms. Detailed physical exams are essential for identifying clues leading one to suspect an alternative drug of abuse. Testing for the presence of these agents is often limited, and even when available, the results do not return in a timely fashion. Intoxications from these agents pose unique challenges for health care providers. Physician knowledge of the physiological effects of these alternative agents and the local patterns of drug of abuse are important for the accurate diagnosis and optimal care of poisoned patients. This review summarizes the current knowledge of alternative drugs of abuse and highlights their clinical presentations.

  19. Language Problems Among Abused and Neglected Children: A Meta-Analytic Review.

    Science.gov (United States)

    Sylvestre, Audette; Bussières, Ève-Line; Bouchard, Caroline

    2016-02-01

    Research data show that exposure to abuse and neglect has detrimental effects on a child's language development. In this meta-analysis, we analyze studies (k = 23), to compare the language skills (receptive language, expressive language, pragmatics) of children who have experienced abuse and/or neglect with the language skills of children who have not experienced abuse and/or neglect and to examine whether age or type of maltreatment moderate the relationship between maltreatment and language skills. Results confirm that the language skills of children who have experienced abuse and/or neglect are delayed when compared to children who have not experienced abuse and/or neglect. Compared to older children, young children seem particularly vulnerable to abuse and neglect. No significant differences were demonstrated concerning the type of maltreatment suffered by the child. These findings support the necessity of early detection of language problems in abused and neglected children as well as early intervention in order to implement interventions that will positively stimulate their development. © The Author(s) 2015.

  20. IR spectroscopy together with multivariate data analysis as a process analytical tool for in-line monitoring of crystallization process and solid-state analysis of crystalline product

    DEFF Research Database (Denmark)

    Pöllänen, Kati; Häkkinen, Antti; Reinikainen, Satu-Pia

    2005-01-01

    -ray powder diffraction (XRPD) as a reference technique. In order to fully utilize DRIFT, the application of multivariate techniques are needed, e.g., multivariate statistical process control (MSPC), principal component analysis (PCA) and partial least squares (PLS). The results demonstrate that multivariate...... Fourier transform infra red (ATR-FTIR) spectroscopy provides valuable information on process, which can be utilized for more controlled crystallization processes. Diffuse reflectance Fourier transform infra red (DRIFT-IR) is applied for polymorphic characterization of crystalline product using X......Crystalline product should exist in optimal polymorphic form. Robust and reliable method for polymorph characterization is of great importance. In this work, infra red (IR) spectroscopy is applied for monitoring of crystallization process in situ. The results show that attenuated total reflection...

  1. School-Based Education Programs for the Prevention of Child Sexual Abuse: A Cochrane Systematic Review and Meta-Analysis

    Science.gov (United States)

    Walsh, Kerryann; Zwi, Karen; Woolfenden, Susan; Shlonsky, Aron

    2018-01-01

    Objective: To assess evidence of the effectiveness of school-based education programs for the prevention of child sexual abuse (CSA). The programs deliver information about CSA and strategies to help children avoid it and encourage help seeking. Methods: Systematic review including meta-analysis of randomized controlled trials (RCTs), cluster…

  2. Pregabalin abuse among opiate addicted patients.

    Science.gov (United States)

    Grosshans, Martin; Lemenager, Tagrid; Vollmert, Christian; Kaemmerer, Nina; Schreiner, Rupert; Mutschler, Jochen; Wagner, Xenija; Kiefer, Falk; Hermann, Derik

    2013-12-01

    Pregabalin is a novel GABA-analogue approved for the treatment of partial onset seizures, neuropathic pain, and general anxiety disorder. Pregabalin has been classified as a Schedule V drug with a low risk of inflicting abuse or addiction. However, some publications have indicated that pregabalin may have a potential for abuse among patients with past or current opiate addiction. Thus, we hypothesized that pregabalin might be abused by patients who were undergoing an opiate replacement therapy and never had an indication for taking pregabalin on medical grounds. Urine specimens from 124 patients with opiate dependency syndrome and from 111 patients with other addiction disorders (alcohol, benzodiazepines, cannabis, amphetamines) were screened for pregabalin by means of a mass spectrometer analysis. We found 12.1 % of all urine specimens from patients with opiate addiction to be positive for pregabalin. None of the patients concerned had a medical indication for using pregabalin. In the control group, 2.7 % of the patients were tested positively for pregabalin, due to their taking it regularly for chronic pain or general anxiety. Our data suggest that pregabalin is liable to be abused among individuals with opiate dependency syndrome Thus, vigilance and caution are called for when patients with a past or current opiate dependency are exposed to treatment with pregabalin.

  3. Cultures of Abuse: ‘Sex Grooming’, Organised Abuse and Race in Rochdale, UK

    OpenAIRE

    Michael Salter; Selda Dagistanli

    2015-01-01

    Revelations of organised abuse by men of Asian heritage in the United Kingdom have become a recurrent feature of international media coverage of sexual abuse in recent years. This paper reflects on the similarities between the highly publicised ‘sex grooming’ prosecutions in Rochdale in 2012 and the allegations of organised abuse in Rochdale that emerged in 1990, when twenty children were taken into care after describing sadistic abuse by their parents and others. While these two cases differ...

  4. Child-Visiting and Domestic Abuse.

    Science.gov (United States)

    Shepard, Melanie

    1992-01-01

    Explains problems with child visiting in cases of domestic abuse. Data on domestic abuse, child care concerns, and child adjustment problems were collected from 25 mothers and 22 fathers at a child visiting program serving separated and abusive families. Psychological abuse of mothers correlated with child adjustment problems. (BB)

  5. Predictors of Substance Abuse Assessment and Treatment Completion for Parents Involved with Child Welfare: One State's Experience in Matching across Systems.

    Science.gov (United States)

    Traube, Dorian E; He, Amy S; Zhu, Limei; Scalise, Christine; Richardson, Tyrone

    2015-01-01

    To date, few studies have examined the effect of interagency collaboration on substance abuse assessment ity of Southern California and treatment completion for parents who are involved in child welfare. The purpose of this paper is to: (1) describe a statewide, interagency collaborative program aimed at providing targeted substance abuse assessment and treatment to parents engaged in the child welfare system; (2) document the specialized assessment and treatment outcomes for parents engaged through this collaborative program; and (3) determine factors related to successful treatment completion for parents involved in the child welfare system. This is a retrospective study of an open cohort of 13,829 individuals admitted to the New Jersey Child Protection Substance Abuse Initiative (CPSAI) program from October 1, 2009, through September 30, 2010. Data were drawn from two unique administrative data sources. Multivariate Cox regression models were used to explore factors related to successfil treatment completion for parents involved in the child welfare system. Trend analysis for the total sample in the CPSAI program revealed that, of the 10,909 individuals who received a CPSAI assessment, 59% were referred to treatment. Of those referred to treatment, 40% enrolled in a treatment program. Once enrolled in a treatment program, 55% completed or were in the process of completing substance abuse treatment. These findings suggest that when adequate screening and treatment is available through a streamlined process, many of the ethnic and gender disparities present among other populations of individuals seeking treatment are minimized. Utilizing inherent child welfare case factors appears to be an important motivating element that aids parents during the assessment and treatment process.

  6. Impact of comorbid psychiatric disorders on the outcome of substance abusers: a six year prospective follow-up in two Norwegian counties

    Directory of Open Access Journals (Sweden)

    Bakken Kjell

    2006-10-01

    Full Text Available Abstract Background Most help-seeking substance abusers have comorbid psychiatric disorders. The importance of such disorders for the long-term course of substance abuse is, however, still unclear. The aim of this paper is to describe six-year outcomes regarding death and relapse among alcoholics and poly-substance abusers and to analyse the predictive value of lifetime psychiatric disorders on relapse. Methods A consecutive sample of substance-dependent patients who received treatment in two counties in Norway (n = 287 was followed up after approximately six years. Information on socio-demographics, Axis I (CIDI and II disorders (MCMI-II and mental distress (HSCL-25 was gathered at baseline. At follow-up, detailed information regarding socio-demographics, use of substances (AUDIT and DUDIT and mental distress (HSCL-25 was recorded (response rate: 63%. Results At six-year follow-up, 11% had died, most often male alcoholics (18%. Among the surviving patients, 70% had drug or alcohol related problems the year prior to follow-up. These patients were, classified as "relapsers". There were no significant differences in the relapse rate between women and men and among poly-substance abusers and alcoholics. The relapsers had an earlier onset of a substance use disorder, and more frequently major depression and agoraphobia. Multivariate analysis indicated that both psychiatric disorders (major depression and substance use factors (early onset of a substance use disorder were independent predictors of relapse. Conclusion For reducing the risk of long-term relapse, assessment and treatment of major depression (and agoraphobia are important. In addition, we are in need of a comprehensive treatment and rehabilitation program that also focuses on the addictive behaviour.

  7. Elder Abuse Awareness Project.

    Science.gov (United States)

    Doyle, Kathleen; Morrow, Marilyn J.

    1985-01-01

    The Elder Abuse Awareness Project was undertaken: (1) to determine the incidence of abuse and neglect in seven Illinois counties; and (2) to develop, produce, and distribute educational materials on elder abuse for the service provider and for senior citizens. Results are presented and discussed. (MT)

  8. Searching for New Biomarkers and the Use of Multivariate Analysis in Gastric Cancer Diagnostics.

    Science.gov (United States)

    Kucera, Radek; Smid, David; Topolcan, Ondrej; Karlikova, Marie; Fiala, Ondrej; Slouka, David; Skalicky, Tomas; Treska, Vladislav; Kulda, Vlastimil; Simanek, Vaclav; Safanda, Martin; Pesta, Martin

    2016-04-01

    The first aim of this study was to search for new biomarkers to be used in gastric cancer diagnostics. The second aim was to verify the findings presented in literature on a sample of the local population and investigate the risk of gastric cancer in that population using a multivariant statistical analysis. We assessed a group of 36 patients with gastric cancer and 69 healthy individuals. We determined carcinoembryonic antigen, cancer antigen 19-9, cancer antigen 72-4, matrix metalloproteinases (-1, -2, -7, -8 and -9), osteoprotegerin, osteopontin, prothrombin induced by vitamin K absence-II, pepsinogen I, pepsinogen II, gastrin and Helicobacter pylori for each sample. The multivariate stepwise logistic regression identified the following biomarkers as the best gastric cancer predictors: CEA, CA72-4, pepsinogen I, Helicobacter pylori presence and MMP7. CEA and CA72-4 remain the best markers for gastric cancer diagnostics. We suggest a mathematical model for the assessment of risk of gastric cancer. Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

  9. Conversion from laparoscopic to open cholecystectomy: Multivariate analysis of preoperative risk factors

    Directory of Open Access Journals (Sweden)

    Khan M

    2005-01-01

    Full Text Available BACKGROUND: Laparoscopic cholecystectomy has become the gold standard in the treatment of symptomatic cholelithiasis. Some patients require conversion to open surgery and several preoperative variables have been identified as risk factors that are helpful in predicting the probability of conversion. However, there is a need to devise a risk-scoring system based on the identified risk factors to (a predict the risk of conversion preoperatively for selected patients, (b prepare the patient psychologically, (c arrange operating schedules accordingly, and (d minimize the procedure-related cost and help overcome financial constraints, which is a significant problem in developing countries. AIM: This study was aimed to evaluate preoperative risk factors for conversion from laparoscopic to open cholecystectomy in our setting. SETTINGS AND DESIGNS: A case control study of patients who underwent laparoscopic surgery from January 1997 to December 2001 was conducted at the Aga Khan University Hospital, Karachi, Pakistan. MATERIALS AND METHODS: All those patients who were converted to open surgery (n = 73 were enrolled as cases. Two controls who had successful laparoscopic surgery (n = 146 were matched with each case for operating surgeon and closest date of surgery. STATISTICAL ANALYSIS USED: Descriptive statistics were computed and, univariate and multivariate analysis was done through multiple logistic regression. RESULTS: The final multivariate model identified two risk factors for conversion: ultrasonographic signs of inflammation (adjusted odds ratio [aOR] = 8.5; 95% confidence interval [CI]: 3.3, 21.9 and age > 60 years (aOR = 8.1; 95% CI: 2.9, 22.2 after adjusting for physical signs, alkaline phosphatase and BMI levels. CONCLUSION: Preoperative risk factors evaluated by the present study confirm the likelihood of conversion. Recognition of these factors is important for understanding the characteristics of patients at a higher risk of conversion.

  10. Against the Odds: The Impact of Woman Abuse on Maternal Response to Disclosure of Child Sexual Abuse

    Science.gov (United States)

    Alaggia, Ramona; Turton, Jennifer V.

    2005-01-01

    Although the co-occurrence of woman abuse and child sexual abuse is high little research exists exploring the impact of woman abuse on maternal response to child sexual abuse (CSA). Findings from two qualitative studies indicate the form of woman abuse to have differential impact on maternal response. Mothers who were abused in non-physical ways,…

  11. DTW-APPROACH FOR UNCORRELATED MULTIVARIATE TIME SERIES IMPUTATION

    OpenAIRE

    Phan , Thi-Thu-Hong; Poisson Caillault , Emilie; Bigand , André; Lefebvre , Alain

    2017-01-01

    International audience; Missing data are inevitable in almost domains of applied sciences. Data analysis with missing values can lead to a loss of efficiency and unreliable results, especially for large missing sub-sequence(s). Some well-known methods for multivariate time series imputation require high correlations between series or their features. In this paper , we propose an approach based on the shape-behaviour relation in low/un-correlated multivariate time series under an assumption of...

  12. Abuse Characteristics and Individual Differences Related to Disclosing Childhood Sexual, Physical, and Emotional Abuse and Witnessed Domestic Violence.

    Science.gov (United States)

    Bottoms, Bette L; Peter-Hagene, Liana C; Epstein, Michelle A; Wiley, Tisha R A; Reynolds, Carrie E; Rudnicki, Aaron G

    2016-04-01

    Many adult survivors of childhood abuse hide their victimization, avoiding disclosure that could identify perpetrators, end the abuse, and bring help to the victim. We surveyed 1,679 women undergraduates to understand disclosure of childhood sexual, physical, and emotional abuse, and, for the first time, witnessed domestic violence, which many consider to be emotionally abusive. A substantial minority of victims failed to ever disclose their sexual abuse (23%), physical abuse (34%), emotional abuse (20%), and witnessed domestic violence (29%). Overall, abuse-specific factors were better predictors of disclosure than individual-level characteristics. Disclosure of sexual abuse was related to experiencing more frequent abuse (by the same and by multiple perpetrators), being more worried about injury and more upset at the time of the abuse, and self-labeling as a victim of abuse. Disclosure of physical abuse was related to experiencing more frequent abuse (by the same and multiple perpetrators), being less emotionally close to the perpetrator, being older when the abuse ended, being more worried and upset, and self-labeling as a victim. Disclosure of emotional abuse was associated with being older when the abuse ended, and being more worried and upset. Disclosure was unrelated to victim demographic characteristics or defensive reactions (dissociative proneness, fantasy proneness, repressive coping style, and temporary forgetting), except that among physical and emotional abuse victims, repressors were less likely to disclose than non-repressors. Disclosure of witnessing domestic violence was not significantly related to any factors measured. © The Author(s) 2014.

  13. Exploring the Structure of Library and Information Science Web Space Based on Multivariate Analysis of Social Tags

    Science.gov (United States)

    Joo, Soohyung; Kipp, Margaret E. I.

    2015-01-01

    Introduction: This study examines the structure of Web space in the field of library and information science using multivariate analysis of social tags from the Website, Delicious.com. A few studies have examined mathematical modelling of tags, mainly examining tagging in terms of tripartite graphs, pattern tracing and descriptive statistics. This…

  14. Comparative urine analysis by liquid chromatography-mass spectrometry and multivariate statistics : Method development, evaluation, and application to proteinuria

    NARCIS (Netherlands)

    Kemperman, Ramses F. J.; Horvatovich, Peter L.; Hoekman, Berend; Reijmers, Theo H.; Muskiet, Frits A. J.; Bischoff, Rainer

    2007-01-01

    We describe a platform for the comparative profiling of urine using reversed-phase liquid chromatography-mass spectrometry (LC-MS) and multivariate statistical data analysis. Urinary compounds were separated by gradient elution and subsequently detected by electrospray Ion-Trap MS. The lower limit

  15. Elder Abuse and Neglect

    Directory of Open Access Journals (Sweden)

    Muge Gulen

    2013-06-01

    Full Text Available Abuse and neglect are preventable societal problems that influence elderly individuals physically, spiritually and socially. Elder abuse is neglected for many years and is a growing problem all over the world. The aim of this article is to review the evaluation of elderly individuals who are exposed to abuse and neglect with systematic detailed history and physical examination and to describe individual, familial, and social measures that should be taken to prevent these abuses. [Archives Medical Review Journal 2013; 22(3.000: 393-407

  16. Beyond "Witnessing": Children's Experiences of Coercive Control in Domestic Violence and Abuse.

    Science.gov (United States)

    Callaghan, Jane E M; Alexander, Joanne H; Sixsmith, Judith; Fellin, Lisa Chiara

    2015-12-10

    Children's experiences and voices are underrepresented in academic literature and professional practice around domestic violence and abuse. The project "Understanding Agency and Resistance Strategies" (UNARS) addresses this absence, through direct engagement with children. We present an analysis from interviews with 21 children in the United Kingdom (12 girls and 9 boys, aged 8-18 years), about their experiences of domestic violence and abuse, and their responses to this violence. These interviews were analyzed using interpretive interactionism. Three themes from this analysis are presented: (a) "Children's experiences of abusive control," which explores children's awareness of controlling behavior by the adult perpetrator, their experience of that control, and its impact on them; (b) "Constraint," which explores how children experience the constraint associated with coercive control in situations of domestic violence; and (c) "Children as agents," which explores children's strategies for managing controlling behavior in their home and in family relationships. The article argues that, in situations where violence and abuse occur between adult intimate partners, children are significantly affected, and can be reasonably described as victims of abusive control. Recognizing children as direct victims of domestic violence and abuse would produce significant changes in the way professionals respond to them, by (a) recognizing children's experience of the impact of domestic violence and abuse; (b) recognizing children's agency, undermining the perception of them as passive "witnesses" or "collateral damage" in adult abusive encounters; and (c) strengthening professional responses to them as direct victims, not as passive witnesses to violence. © The Author(s) 2015.

  17. Elemental content of Vietnamese rice. Part 2. Multivariate data analysis.

    Science.gov (United States)

    Kokot, S; Phuong, T D

    1999-04-01

    Rice samples were obtained from the Red River region and some other parts of Vietnam as well as from Yanco, Australia. These samples were analysed for 14 elements (P, K, Mg, Ca, Mn, Zn, Fe, Cu, Al, Na, Ni, As, Mo and Cd) by ICP-AES, ICP-MS and FAAS as described in Part 1. This data matrix was then submitted to multivariate data analysis by principal component analysis to investigate the influences of environmental and crop cultivation variables on the elemental content of rice. Results revealed that geographical location, grain variety, seasons and soil conditions are the most likely significant factors causing changes in the elemental content between the rice samples. To assess rice quality according to its elemental content and physio-biological properties, a multicriteria decision making method (PROMETHEE) was applied. With the Vietnamese rice, the sticky rice appeared to contain somewhat higher levels of nutritionally significant elements such as P, K and Mg than the non-sticky rice. Also, rice samples grown during the wet season have better levels of nutritionally significant mineral elements than those of the dry season, but in general, the wet season seemed to provide better overall elemental and physio-biological rice quality.

  18. Optimization of Interior Permanent Magnet Motor by Quality Engineering and Multivariate Analysis

    Science.gov (United States)

    Okada, Yukihiro; Kawase, Yoshihiro

    This paper has described the method of optimization based on the finite element method. The quality engineering and the multivariable analysis are used as the optimization technique. This optimizing method consists of two steps. At Step.1, the influence of parameters for output is obtained quantitatively, at Step.2, the number of calculation by the FEM can be cut down. That is, the optimal combination of the design parameters, which satisfies the required characteristic, can be searched for efficiently. In addition, this method is applied to a design of IPM motor to reduce the torque ripple. The final shape can maintain average torque and cut down the torque ripple 65%. Furthermore, the amount of permanent magnets can be reduced.

  19. HORIZONTAL BRANCH MORPHOLOGY OF GLOBULAR CLUSTERS: A MULTIVARIATE STATISTICAL ANALYSIS

    International Nuclear Information System (INIS)

    Jogesh Babu, G.; Chattopadhyay, Tanuka; Chattopadhyay, Asis Kumar; Mondal, Saptarshi

    2009-01-01

    The proper interpretation of horizontal branch (HB) morphology is crucial to the understanding of the formation history of stellar populations. In the present study a multivariate analysis is used (principal component analysis) for the selection of appropriate HB morphology parameter, which, in our case, is the logarithm of effective temperature extent of the HB (log T effHB ). Then this parameter is expressed in terms of the most significant observed independent parameters of Galactic globular clusters (GGCs) separately for coherent groups, obtained in a previous work, through a stepwise multiple regression technique. It is found that, metallicity ([Fe/H]), central surface brightness (μ v ), and core radius (r c ) are the significant parameters to explain most of the variations in HB morphology (multiple R 2 ∼ 0.86) for GGC elonging to the bulge/disk while metallicity ([Fe/H]) and absolute magnitude (M v ) are responsible for GGC belonging to the inner halo (multiple R 2 ∼ 0.52). The robustness is tested by taking 1000 bootstrap samples. A cluster analysis is performed for the red giant branch (RGB) stars of the GGC belonging to Galactic inner halo (Cluster 2). A multi-episodic star formation is preferred for RGB stars of GGC belonging to this group. It supports the asymptotic giant branch (AGB) model in three episodes instead of two as suggested by Carretta et al. for halo GGC while AGB model is suggested to be revisited for bulge/disk GGC.

  20. Analysis of contextual variables in the evaluation of child abuse in the pediatric emergency setting

    Directory of Open Access Journals (Sweden)

    Ana Nunes de Almeida

    2017-07-01

    Conclusion: Patterns of association between victims, family contexts, and abusers were identified. It is necessary to alert clinicians about the importance of social variables in the multiple facets of child abuse.

  1. Using text mining and machine learning for detection of child abuse

    NARCIS (Netherlands)

    Amrit, Chintan Amrit; Paauw, Tim; Aly, Robin; Lavric, Miha; Lavric, Miha

    2016-01-01

    Abuse in any form is a grave threat to a child's health. Public health institutions in the Netherlands try to identify and prevent different kinds of abuse, and building a decision support system can help such institutions achieve this goal. Such decision support relies on the analysis of relevant

  2. Generational Reproduction of child abuse

    OpenAIRE

    García Ampudia, Lupe; Orellana M., Oswaldo; Pomalaya V., Ricardo; Yanac Reynoso, Elisa; Malaver S., Carmela; Herrera F., Edgar; Sotelo L., Noemi; Campos C., Lilia; Sotelo L., Lidia; Orellana García, Daphne; Velasquez M., Katherine

    2014-01-01

    The objective of this research is the study of the abuse rising in two generations, of parents and children and establishing the relationship between background child’s abuse with the potential abuse. The sample is comprised of 441 students and 303 parents who agreed to answer the Memories of Abuse Questionnaire. The used instruments were the Child History Questionnaire adapted for the purpose of this research, the Inventory of Potential Child Abuse (Milner, J. 1977), adapted by De Paul, Arru...

  3. A multivariate analysis of factors affecting adoption of improved ...

    African Journals Online (AJOL)

    This paper analyzes the synergies/tradeoffs involved in the adoption of improved varieties of multiple crops in the mixed crop-livestock production systems of the highlands of Ethiopia A multivariate probit (MVP) model involving a system of four equations for the adoption decision of improved varieties of barley, potatoes, ...

  4. Multivariate fault isolation of batch processes via variable selection in partial least squares discriminant analysis.

    Science.gov (United States)

    Yan, Zhengbing; Kuang, Te-Hui; Yao, Yuan

    2017-09-01

    In recent years, multivariate statistical monitoring of batch processes has become a popular research topic, wherein multivariate fault isolation is an important step aiming at the identification of the faulty variables contributing most to the detected process abnormality. Although contribution plots have been commonly used in statistical fault isolation, such methods suffer from the smearing effect between correlated variables. In particular, in batch process monitoring, the high autocorrelations and cross-correlations that exist in variable trajectories make the smearing effect unavoidable. To address such a problem, a variable selection-based fault isolation method is proposed in this research, which transforms the fault isolation problem into a variable selection problem in partial least squares discriminant analysis and solves it by calculating a sparse partial least squares model. As different from the traditional methods, the proposed method emphasizes the relative importance of each process variable. Such information may help process engineers in conducting root-cause diagnosis. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  5. Talking matters: Abused women's views on disclosure of partner abuse to the family doctor and its role in handling the abuse situation

    NARCIS (Netherlands)

    Lo Fo Wong, S.H.; Wester, F.P.J.; Mol, S.S.L.; Römkens, R.R.; Hezemans, D.; Lagro-Janssen, A.L.M.

    2008-01-01

    Objective: We aimed to explore what women valued most in disclosing partner abuse to their doctor and whether disclosure played a role in handling their abuse situation. Methods: A qualitative method was used to understand abused women's views and experiences with disclosure to their family doctor.

  6. Talking matters: abused women's views on disclosure of partner abuse to the family doctor and its role in handling the abuse situation.

    NARCIS (Netherlands)

    Lo Fo Wong, S.H.; Wester, F.; Mol, S.; Romkens, R.; Hezemans, D.; Lagro-Janssen, A.L.M.

    2008-01-01

    OBJECTIVE: We aimed to explore what women valued most in disclosing partner abuse to their doctor and whether disclosure played a role in handling their abuse situation. METHODS: A qualitative method was used to understand abused women's views and experiences with disclosure to their family doctor.

  7. Discrimination of Wild Paris Based on Near Infrared Spectroscopy and High Performance Liquid Chromatography Combined with Multivariate Analysis

    Science.gov (United States)

    Zhao, Yanli; Zhang, Ji; Yuan, Tianjun; Shen, Tao; Li, Wei; Yang, Shihua; Hou, Ying; Wang, Yuanzhong; Jin, Hang

    2014-01-01

    Different geographical origins and species of Paris obtained from southwestern China were discriminated by near infrared (NIR) spectroscopy and high performance liquid chromatography (HPLC) combined with multivariate analysis. The NIR parameter settings were scanning (64 times), resolution (4 cm−1), scanning range (10000 cm−1∼4000 cm−1) and parallel collection (3 times). NIR spectrum was optimized by TQ 8.6 software, and the ranges 7455∼6852 cm−1 and 5973∼4007 cm−1 were selected according to the spectrum standard deviation. The contents of polyphyllin I, polyphyllin II, polyphyllin VI, and polyphyllin VII and total steroid saponins were detected by HPLC. The contents of chemical components data matrix and spectrum data matrix were integrated and analyzed by partial least squares discriminant analysis (PLS-DA). From the PLS-DA model of NIR spectrum, Paris samples were separated into three groups according to the different geographical origins. The R2X and Q2Y described accumulative contribution rates were 99.50% and 94.03% of the total variance, respectively. The PLS-DA model according to 12 species of Paris described 99.62% of the variation in X and predicted 95.23% in Y. The results of the contents of chemical components described differences among collections quantitatively. A multivariate statistical model of PLS-DA showed geographical origins of Paris had a much greater influence on Paris compared with species. NIR and HPLC combined with multivariate analysis could discriminate different geographical origins and different species. The quality of Paris showed regional dependence. PMID:24558477

  8. A cross-species socio-emotional behaviour development revealed by a multivariate analysis.

    Science.gov (United States)

    Koshiba, Mamiko; Senoo, Aya; Mimura, Koki; Shirakawa, Yuka; Karino, Genta; Obara, Saya; Ozawa, Shinpei; Sekihara, Hitomi; Fukushima, Yuta; Ueda, Toyotoshi; Kishino, Hirohisa; Tanaka, Toshihisa; Ishibashi, Hidetoshi; Yamanouchi, Hideo; Yui, Kunio; Nakamura, Shun

    2013-01-01

    Recent progress in affective neuroscience and social neurobiology has been propelled by neuro-imaging technology and epigenetic approach in neurobiology of animal behaviour. However, quantitative measurements of socio-emotional development remains lacking, though sensory-motor development has been extensively studied in terms of digitised imaging analysis. Here, we developed a method for socio-emotional behaviour measurement that is based on the video recordings under well-defined social context using animal models with variously social sensory interaction during development. The behaviour features digitized from the video recordings were visualised in a multivariate statistic space using principal component analysis. The clustering of the behaviour parameters suggested the existence of species- and stage-specific as well as cross-species behaviour modules. These modules were used to characterise the behaviour of children with or without autism spectrum disorders (ASDs). We found that socio-emotional behaviour is highly dependent on social context and the cross-species behaviour modules may predict neurobiological basis of ASDs.

  9. Noise source analysis of nuclear ship Mutsu plant using multivariate autoregressive model

    International Nuclear Information System (INIS)

    Hayashi, K.; Shimazaki, J.; Shinohara, Y.

    1996-01-01

    The present study is concerned with the noise sources in N.S. Mutsu reactor plant. The noise experiments on the Mutsu plant were performed in order to investigate the plant dynamics and the effect of sea condition and and ship motion on the plant. The reactor noise signals as well as the ship motion signals were analyzed by a multivariable autoregressive (MAR) modeling method to clarify the noise sources in the reactor plant. It was confirmed from the analysis results that most of the plant variables were affected mainly by a horizontal component of the ship motion, that is the sway, through vibrations of the plant structures. Furthermore, the effect of ship motion on the reactor power was evaluated through the analysis of wave components extracted by a geometrical transform method. It was concluded that the amplitude of the reactor power oscillation was about 0.15% in normal sea condition, which was small enough for safe operation of the reactor plant. (authors)

  10. Prescription Drug Abuse

    Science.gov (United States)

    ... what the doctor prescribed, it is called prescription drug abuse. It could be Taking a medicine that ... purpose, such as getting high Abusing some prescription drugs can lead to addiction. These include opioids, sedatives, ...

  11. Child abuse - physical

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/001552.htm Child abuse - physical To use the sharing features on this page, please enable JavaScript. Physical child abuse is a serious problem. Here are some facts: ...

  12. Improved accuracy in estimation of left ventricular function parameters from QGS software with Tc-99m tetrofosmin gated-SPECT. A multivariate analysis

    International Nuclear Information System (INIS)

    Okizaki, Atsutaka; Shuke, Noriyuki; Sato, Junichi; Ishikawa, Yukio; Yamamoto, Wakako; Kikuchi, Kenjiro; Aburano, Tamio

    2003-01-01

    The purpose of this study was to verify whether the accuracy of left ventricular parameters related to left ventricular function from gated-SPECT improved or not, using multivariate analysis. Ninety-six patients with cardiovascular diseases were studied. Gated-SPECT with the quantitative gated SPECT (QGS) software and left ventriculography (LVG) were performed to obtain left ventricular ejection fraction (LVEF), end-diastolic volume (EDV) and end-systolic volume (ESV). Then, multivariate analyses were performed to determine empirical formulas for predicting these parameters. The calculated values of left ventricular parameters were compared with those obtained directly from the QGS software and LVG. Multivariate analyses were able to improve accuracy in estimation of LVEF, EDV and ESV. Statistically significant improvement was seen in LVEF (from r=0.6965 to r=0.8093, p<0.05). Although not statistically significant, improvements in correlation coefficients were seen in EDV (from r=0.7199 to r=0.7595, p=0.2750) and ESV (from r=0.5694 to r=0.5871, p=0.4281). The empirical equations with multivariate analysis improved the accuracy in estimating LVEF from gated-SPECT with the QGS software. (author)

  13. Abused women's experiences of a primary care identification and referral intervention: a case study analysis.

    Science.gov (United States)

    Bradbury-Jones, Caroline; Clark, Maria; Taylor, Julie

    2017-12-01

    The aim of this study was to report the findings of a qualitative case study that investigated abused women's experiences of an identification and referral intervention and to discuss the implications for nurses, specifically those working in primary and community care. Domestic violence and abuse is a significant public health issue globally but it is a hidden problem that is under-reported. In the UK, Identification and Referral to Improve Safety is a primary care-based intervention that has been found to increase referral rates of abused women to support and safety services. This paper reports on the findings of an evaluation study of two sites in England. Qualitative study with a case study design. In line with case study design, the entire evaluation study employed multiple data collection methods. We report on the qualitative interviews with women referred through the programme. The aim was to elicit their experiences of the three aspects of the intervention: identification; referral; safety. Data collection took place March 2016. Ten women took part. Eight had exited the abusive relationship but two remained with the partner who had perpetrated the abuse. Women were overwhelmingly positive about the programme and irrespective of whether they had remained or exited the relationship all reported perceptions of increased safety and improved health. Nurses have an important role to play in identifying domestic violence and abuse and in referral and safety planning. As part of a portfolio of domestic violence and abuse interventions, those that empower women to take control of their safety (such as Identification and Referral to Improve Safety) are important. © 2017 John Wiley & Sons Ltd.

  14. Tooth Decay in Alcohol Abusers Compared to Alcohol and Drug Abusers

    Directory of Open Access Journals (Sweden)

    Ananda P. Dasanayake

    2010-01-01

    Full Text Available Alcohol and drug abuse are detrimental to general and oral health. Though we know the effects of these harmful habits on oral mucosa, their independent and combined effect on the dental caries experience is unknown and worthy of investigation. We compared 363 “alcohol only” abusers to 300 “alcohol and drug” abusers to test the hypothesis that various components of their dental caries experience are significantly different due to plausible sociobiological explanations. After controlling for the potential confounders, we observe that the “alcohol and drug” group had a 38% higher risk of having decayed teeth compared to the “alcohol only” group (<.05. As expected, those who belonged to a higher social class (OR=1.98; 95%  CI=1.43–2.75 and drank wine (OR=1.85; 95%  CI=1.16–2.96 had a higher risk of having more filled teeth. We conclude that the risk of tooth decay among “alcohol only” abusers is significantly lower compared to “alcohol and drug” abusers.

  15. Elder Abuse in Japan

    Science.gov (United States)

    Arai, Mizuho

    2006-01-01

    Perceptions of elder abuse were examined in Japanese women (n =100) and men (n =46). Japanese women and men both emphasized physical aggression, followed by neglect and blaming, when giving examples of extremely abusive behavior. Physical aggression was also the most frequently mentioned type of moderate elder abuse, followed by neglect, economic…

  16. MULTIVARIATE CURVE RESOLUTION OF NMR SPECTROSCOPY METABONOMIC DATA

    Science.gov (United States)

    Sandia National Laboratories is working with the EPA to evaluate and develop mathematical tools for analysis of the collected NMR spectroscopy data. Initially, we have focused on the use of Multivariate Curve Resolution (MCR) also known as molecular factor analysis (MFA), a tech...

  17. Childhood sibling and peer relationships of perpetrators of child sexual abuse.

    Science.gov (United States)

    Thomas, Sandra P; Phillips, Kenneth; Gunther, Mary

    2013-12-01

    Maltreatment by parents inhibits a child's ability to form relationships with other children. Given that many sex offenders experienced parental abuse, investigation of their relationships with siblings and peers could provide new directions for early childhood interventions. Interview transcripts of 23 community-dwelling perpetrators of sexual abuse against children were examined in this secondary data analysis. Ages of participants ranged from 20s to 70s, and education ranged from GED to PhD. Phenomenological analysis revealed that neither sibling nor peer relationships adequately promoted participants' capacity for developing and maintaining healthy relationships in adulthood. Until societal preventive actions and early clinical interventions are more successful, the crime of child sexual abuse will continue to be far too common. © 2013.

  18. Multivariate analysis of nutritional information of foodstuff of plant origin for the selection of representative matrices for the analysis of pesticide residues

    International Nuclear Information System (INIS)

    Neves Bettencourt da Silva, Ricardo Jorge; Gomes Ferreira Crujo Camoes, Maria Filomena

    2010-01-01

    Testing safety of foodstuffs of plant origin involves the analysis of hundreds of pesticide residues. This control is only cost-effective through the use of methods validated for the analysis of many thousands of analyte/matrix combinations. Several documents propose representative matrices of groups of matrices from which the validity of the analytical method can be extrapolated to the represented matrices after summarised experimental check of within group method performance homogeneity. Those groups are based on an evolved expert consensus based on the empirical knowledge on the current analytical procedures; they are not exhaustive, they are not objectively defined and they propose a large list of representative matrices which makes their application difficult. This work proposes grouping 240 matrices, based on the nutritional composition pattern equivalence of the analytical portion right after hydration and before solvent extraction, aiming at defining groups that observe method performance homogeneity. This grouping was based on the combined outcome of three multivariate tools, namely: Principal Component Analysis, Hierarchical Cluster Analysis and K-Mean Cluster Analysis. These tools allowed the selection of eight groups for which representative matrices with average characteristics and objective criteria to test inclusion of new matrices were established. The proposed matrices groups are homogeneous to nutritional data not considered in their definition but correlated with the studied multivariate nutritional pattern. The developed grouping that must be checked with experimental test before use was tested against small deviations in food composition and for the integration of new matrices.

  19. Abuse Potential of Pregabalin

    DEFF Research Database (Denmark)

    Schjerning, Ole; Rosenzweig, Mary; Pottegård, Anton

    2016-01-01

    BACKGROUND: Several case reports and epidemiological studies have raised concern about the abuse potential of pregabalin, the use of which has increased substantially over the last decade. Pregabalin is, in some cases, used for recreational purposes and it has incurred attention among drug abusers...... for causing euphoric and dissociative effects when taken in doses exceeding normal therapeutic dosages or used by alternative routes of administration, such as nasal insufflation or venous injection. The magnitude of the abuse potential and the mechanism behind it are not fully known. OBJECTIVE: The aim...... of this study was to present a systematic review of the data concerning the abuse potential of pregabalin. METHODS: We performed a systematic literature search and reviewed the preclinical, clinical and epidemiological data on the abuse potential of pregabalin. RESULTS: We included preclinical (n = 17...

  20. Application of Theory of Planned Behavior in Predicting Factors of Substance Abuse in Adolescents

    Directory of Open Access Journals (Sweden)

    Saeid Bashirian

    2012-12-01

    Full Text Available Background and Objective: Adolescence is the most critical period of life as regards commencing drug abuse. The social cost and damage caused by drug abuse in adolescence are enormous, necessitating interventional programs to prevent this behavior. The theory of planned behavior (TPB is perhaps the most influential theory for the prediction of social and health behaviors such as drug abuse.Materials and Methods: In this descriptive analytical study, samples were collected from male students in four high schools in different regions of Hamedan. The survey was carried out via random cluster sampling of 650 students. Data were collected using the standard self-report questionnaires and were analyzed using SPSS16, chi-squared test, correlation coefficient, and logistic regression analysis.Results: Among the adolescents participating in this study, 11.1% had the experience of cigarette smoking, 3.4% had the experience of drug abuse, and 12% had the experience of intention to abuse drugs. There was a significant relationship between drug abuse and the following variables: smoking experience (p value =0.001, OR=27.238; having drug user parents (p value =0.001, OR=8.630; having friends who had experienced drug abuse (p value =0.001, OR=11.060; having best friends who had experienced drug abuse (p value = 0.001, OR=11.931; family with drug abuse (p value = 0.001, OR=4.311; and having a sibling who abused drugs (p value=0.001, OR=15.815. According to the logistic regression analysis, attitude, subjective norms, and perceived behavior control were the most influential predictors of intention to abuse drugs.Conclusion: The use of TPB is beneficial in the predicting and planning for high-risk behaviors. TPB can be used for planning and implementing drug abuse prevention programs in adolescents.