Analysis of Family Functioning and Parent-Child Relationship between Adolescents with Depression and their Parents

Science.gov (United States)

CHEN, Qing; DU, Wenyong; GAO, Yan; MA, Changlin; BAN, Chunxia; MENG, Fu

2017-01-01

Background Drug therapy combined with family therapy is currently the best treatment for adolescent depression. Nevertheless, family therapy requires an exploration of unresolved problems in the family system, which in practice presents certain difficulties. Previous studies have found that the perceptual differences of family function between parents and children reflect the problems in the family system. Aims To explore the characteristics and role of family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Methods The general information and clinical data of the 93 adolescents with depression were collected. The Family Functioning Assessment Scale and Parent-child Relationship Scale were used to assess adolescents with depressive disorder and their parents. Results a) The dimensions of family functioning in adolescents with depressive disorder were more negative in communication, emotional response, emotional involvement, roles, and overall functioning than their parents. The differences were statistically significant. Parent-child relationship dimensions: the closeness and parent-child total scores were more negative compared with the parents and the differences were statistically significant. b) All dimensions of parent-child relationship and family functioning in adolescents with depression except the time spent together were negatively correlated or significantly negatively correlated. c) The results of multivariate regression analysis showed: the characteristics of family functioning, emotional involvement, emotional response, family structure, and income of the adolescents with depressive disorder mainly affected the parent-child relationship. Conclusions There were perceptual differences in partial family functioning and parent-child relationship between adolescents with depressive disorder and their parents. Unclear roles between family members, mutual entanglement, too much or too little emotional

Linear Regression Analysis

CERN Document Server

Seber, George A F

2012-01-01

Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.* More than 200 problems throughout the book plus outline solutions for the exercises.* This revision has been extensively class-tested.

Measurement equivalence of the KINDL questionnaire across child self-reports and parent proxy-reports: a comparison between item response theory and ordinal logistic regression.

Science.gov (United States)

Jafari, Peyman; Sharafi, Zahra; Bagheri, Zahra; Shalileh, Sara

2014-06-01

Measurement equivalence is a necessary assumption for meaningful comparison of pediatric quality of life rated by children and parents. In this study, differential item functioning (DIF) analysis is used to examine whether children and their parents respond consistently to the items in the KINDer Lebensqualitätsfragebogen (KINDL; in German, Children Quality of Life Questionnaire). Two DIF detection methods, graded response model (GRM) and ordinal logistic regression (OLR), were applied for comparability. The KINDL was completed by 1,086 school children and 1,061 of their parents. While the GRM revealed that 12 out of the 24 items were flagged with DIF, the OLR identified 14 out of the 24 items with DIF. Seven items with DIF and five items without DIF were common across the two methods, yielding a total agreement rate of 50 %. This study revealed that parent proxy-reports cannot be used as a substitute for a child's ratings in the KINDL.

A Path Analysis of Latino Parental, Teenager and Cultural Variables in Teenagers' Sexual Attitudes, Norms, Self-Efficacy, and Sexual Intentions1

OpenAIRE

Gaioso, Vanessa Pirani; Villarruel, Antonia Maria; Wilson, Lynda Anne; Azuero, Andres; Childs, Gwendolyn Denice; Davies, Susan Lane

2015-01-01

OBJECTIVE: to test a theoretical model based on the Parent-Based Expansion of the Theory of Planned Behavior examining relation between selected parental, teenager and cultural variables and Latino teenagers' intentions to engage in sexual behavior. METHOD: a cross-sectional correlational design based on a secondary data analysis of 130 Latino parent and teenager dyads. RESULTS: regression and path analysis procedures were used to test seven hypotheses and the results demonstrated partial sup...

Preface to Berk's "Regression Analysis: A Constructive Critique"

OpenAIRE

de Leeuw, Jan

2003-01-01

It is pleasure to write a preface for the book ”Regression Analysis” of my fellow series editor Dick Berk. And it is a pleasure in particular because the book is about regression analysis, the most popular and the most fundamental technique in applied statistics. And because it is critical of the way regression analysis is used in the sciences, in particular in the social and behavioral sciences. Although the book can be read as an introduction to regression analysis, it can also be read as a...

Multicollinearity and Regression Analysis

Science.gov (United States)

Daoud, Jamal I.

2017-12-01

In regression analysis it is obvious to have a correlation between the response and predictor(s), but having correlation among predictors is something undesired. The number of predictors included in the regression model depends on many factors among which, historical data, experience, etc. At the end selection of most important predictors is something objective due to the researcher. Multicollinearity is a phenomena when two or more predictors are correlated, if this happens, the standard error of the coefficients will increase [8]. Increased standard errors means that the coefficients for some or all independent variables may be found to be significantly different from In other words, by overinflating the standard errors, multicollinearity makes some variables statistically insignificant when they should be significant. In this paper we focus on the multicollinearity, reasons and consequences on the reliability of the regression model.

Stress in Parents of a Child with Hemifacial Microsomia: The Role of Child Characteristics and Parental Coping Strategies.

Science.gov (United States)

Ongkosuwito, Edwin; van der Vlies, Lieneke; Kraaij, Vivian; Garnefski, Nadia; van Neck, Han; Kuijpers-Jagtman, Anne Marie; Hovius, Steven

2018-01-01

Objective Examine stress levels of parents of children with hemifacial microsomia (HFM) and the relationship of parental stress to child characteristics and cognitive coping strategies. Design Prospective cross-sectional study. Participants and Setting Parents with a child (age 3-19 years) with HFM (N = 31) were recruited through the Department of Orthodontics and the Craniofacial Center, Sophia-Erasmus Medical Center, Rotterdam, The Netherlands. Intervention and Outcome Measures The adapted and shortened Dutch version of the parental stress index (NOSI-K) was used to measure parental stress, and the cognitive emotion-regulation questionnaire was used to measure cognitive coping strategies. Pearson correlations and a multiple regression analysis were performed. Results The hierarchical multiple regression analysis showed associations between increased parental stress and learning difficulties and use of acceptance as a coping strategy. This suggests that problems other than the characteristic visual appearance of the child's face in HFM have a greater influence on parental stress. Conclusions Learning difficulties of the child with HFM and parental acceptance affect stress in parents with a child with HFM the most and are important in the search for a targeted tailoring of intervention for parents with high levels of parental stress.

Hierarchical regression analysis in structural Equation Modeling

NARCIS (Netherlands)

de Jong, P.F.

1999-01-01

In a hierarchical or fixed-order regression analysis, the independent variables are entered into the regression equation in a prespecified order. Such an analysis is often performed when the extra amount of variance accounted for in a dependent variable by a specific independent variable is the main

Multivariate Regression Analysis and Slaughter Livestock,

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

Bayesian logistic regression analysis

NARCIS (Netherlands)

Van Erp, H.R.N.; Van Gelder, P.H.A.J.M.

2012-01-01

In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an

What matters most - what parents model or what parents eat?

Science.gov (United States)

Vaughn, Amber E; Martin, Chantel L; Ward, Dianne S

2018-03-28

Parents have a strong influence on their children's eating habits; however, researchers struggle to identify which food parenting practices to recommend. This study examined the influence of parents modeling of healthy eating ("parent role modeling") and parents' actual food intake ("parent dietary intake") on child diet quality, and explored whether these practices work together to influence children's diets. Baseline data from a larger intervention trial were used for this analysis. The sample included parents of preschool-age children from households with at least one overweight parent. The Comprehensive Feeding Practices Questionnaire was used to assess parent modeling of healthy eating ("healthy modeling"). Three days of dietary recalls were used to collect parents' report of their own intake and their children's intake (excluding food at child care). Associations between parent healthy modeling and parent intake of healthy and unhealthy foods were explored using Pearson correlations. Associations between parent healthy modeling and parent Healthy Eating Index (HEI) score on child HEI score were examined with linear regression. Additionally, the interaction between parent healthy modeling and HEI score on child HEI score was tested. Parent healthy modeling was significantly correlated with parent intake of healthy foodsLinear regression showed a significant association between parent modeling and child HEI score, even after controlling for parent diet (β = 3.08, SE = 0.87, p parents had high parent healthy modeling scores had higher HEI scores (mean = 61.5 ± 10.4) regardless of parent HEI score. We did not find evidence that parent healthy modeling and diet quality interact to influence child diet quality. Parents' healthy modeling is an important practice in influencing children's diet quality, possibly more so than the quality of parents' diets. Copyright © 2018. Published by Elsevier Ltd.

Regression analysis using dependent Polya trees.

Science.gov (United States)

Schörgendorfer, Angela; Branscum, Adam J

2013-11-30

Many commonly used models for linear regression analysis force overly simplistic shape and scale constraints on the residual structure of data. We propose a semiparametric Bayesian model for regression analysis that produces data-driven inference by using a new type of dependent Polya tree prior to model arbitrary residual distributions that are allowed to evolve across increasing levels of an ordinal covariate (e.g., time, in repeated measurement studies). By modeling residual distributions at consecutive covariate levels or time points using separate, but dependent Polya tree priors, distributional information is pooled while allowing for broad pliability to accommodate many types of changing residual distributions. We can use the proposed dependent residual structure in a wide range of regression settings, including fixed-effects and mixed-effects linear and nonlinear models for cross-sectional, prospective, and repeated measurement data. A simulation study illustrates the flexibility of our novel semiparametric regression model to accurately capture evolving residual distributions. In an application to immune development data on immunoglobulin G antibodies in children, our new model outperforms several contemporary semiparametric regression models based on a predictive model selection criterion. Copyright © 2013 John Wiley & Sons, Ltd.

RAWS II: A MULTIPLE REGRESSION ANALYSIS PROGRAM,

Science.gov (United States)

This memorandum gives instructions for the use and operation of a revised version of RAWS, a multiple regression analysis program. The program...of preprocessed data, the directed retention of variable, listing of the matrix of the normal equations and its inverse, and the bypassing of the regression analysis to provide the input variable statistics only. (Author)

Parenting Self-Efficacy, Parent Depression, and Healthy Childhood Behaviors in a Low-Income Minority Population: A Cross-Sectional Analysis.

Science.gov (United States)

Heerman, William J; Taylor, Julie Lounds; Wallston, Kenneth A; Barkin, Shari L

2017-05-01

Objectives Childhood obesity prevention and treatment depends, in part, on parents acting as agents of change for their children. Our objective was to measure the associations between parenting self-efficacy, parent depressive symptoms, and preschool child behaviors that support healthy growth. Methods We performed a cross-sectional analysis of baseline data from a randomized controlled trial. Parenting self-efficacy was measured using a 5-item version of the Parenting Sense of Competence (PSOC-5) scale (α= 0.8). Parent depressive symptoms were measured using the Center for Epidemiological Studies-Depression (CESD) scale. Child outcomes included diet (24 h diet recall), physical activity (accelerometry), sleep (parent-report), and media use during meals (parent-report). We performed separate multiple linear regressions for each outcome controlling for other covariates. Results The sample consisted of 601 parent-child pairs. Median child age was 4.3 (IQR 3.6-5.1) years; median child body mass index (BMI) percentile was 79.1% (IQR 66.8-88.5%); 90% of children were Hispanic/Latino, and 6% of children were non-Hispanic Black. Median parent age was 31.5 (IQR 27.6-36.0) years; 22% of parents met criteria for depression. Parenting self-efficacy (median PSOC-5 25; IQR 24-28) was negatively correlated with depressive symptoms (ρ = -0.16; p self-efficacy was associated with duration of child's sleep and fewer meals eaten in front of a TV (p self-efficacy and parental depressive symptoms on child sleep duration (p self-efficacy and depressive symptoms were not significantly associated with child physical activity or child diet. Conclusions In this minority population, higher parenting self-efficacy was associated with longer child sleep and fewer meals in front the TV, but parent depressive symptoms mitigated that protective effect for child sleep duration.

Common pitfalls in statistical analysis: Linear regression analysis

Directory of Open Access Journals (Sweden)

Rakesh Aggarwal

2017-01-01

Full Text Available In a previous article in this series, we explained correlation analysis which describes the strength of relationship between two continuous variables. In this article, we deal with linear regression analysis which predicts the value of one continuous variable from another. We also discuss the assumptions and pitfalls associated with this analysis.

Moderation analysis using a two-level regression model.

Science.gov (United States)

Yuan, Ke-Hai; Cheng, Ying; Maxwell, Scott

2014-10-01

Moderation analysis is widely used in social and behavioral research. The most commonly used model for moderation analysis is moderated multiple regression (MMR) in which the explanatory variables of the regression model include product terms, and the model is typically estimated by least squares (LS). This paper argues for a two-level regression model in which the regression coefficients of a criterion variable on predictors are further regressed on moderator variables. An algorithm for estimating the parameters of the two-level model by normal-distribution-based maximum likelihood (NML) is developed. Formulas for the standard errors (SEs) of the parameter estimates are provided and studied. Results indicate that, when heteroscedasticity exists, NML with the two-level model gives more efficient and more accurate parameter estimates than the LS analysis of the MMR model. When error variances are homoscedastic, NML with the two-level model leads to essentially the same results as LS with the MMR model. Most importantly, the two-level regression model permits estimating the percentage of variance of each regression coefficient that is due to moderator variables. When applied to data from General Social Surveys 1991, NML with the two-level model identified a significant moderation effect of race on the regression of job prestige on years of education while LS with the MMR model did not. An R package is also developed and documented to facilitate the application of the two-level model.

Perceived Parenting Styles on College Students' Optimism

Science.gov (United States)

Baldwin, Debora R.; McIntyre, Anne; Hardaway, Elizabeth

2007-01-01

The purpose of this study was to examine the relationship between perceived parenting styles and levels of optimism in undergraduate college students. Sixty-three participants were administered surveys measuring dispositional optimism and perceived parental Authoritative and Authoritarian styles. Multiple regression analysis revealed that both…

Classification of Effective Soil Depth by Using Multinomial Logistic Regression Analysis

Science.gov (United States)

Chang, C. H.; Chan, H. C.; Chen, B. A.

2016-12-01

Classification of effective soil depth is a task of determining the slopeland utilizable limitation in Taiwan. The "Slopeland Conservation and Utilization Act" categorizes the slopeland into agriculture and husbandry land, land suitable for forestry and land for enhanced conservation according to the factors including average slope, effective soil depth, soil erosion and parental rock. However, sit investigation of the effective soil depth requires a cost-effective field work. This research aimed to classify the effective soil depth by using multinomial logistic regression with the environmental factors. The Wen-Shui Watershed located at the central Taiwan was selected as the study areas. The analysis of multinomial logistic regression is performed by the assistance of a Geographic Information Systems (GIS). The effective soil depth was categorized into four levels including deeper, deep, shallow and shallower. The environmental factors of slope, aspect, digital elevation model (DEM), curvature and normalized difference vegetation index (NDVI) were selected for classifying the soil depth. An Error Matrix was then used to assess the model accuracy. The results showed an overall accuracy of 75%. At the end, a map of effective soil depth was produced to help planners and decision makers in determining the slopeland utilizable limitation in the study areas.

Relationship between Parenting Styles and Marital Adjustment of ...

African Journals Online (AJOL)

The data obtained from these instruments were subjected to multiple regression analysis using SPSS and the results showed that there was a low, positive and significant relationship between authoritative parenting style and marital adjustment. The relationship between authoritarian parenting style and marital adjustment ...

Two Paradoxes in Linear Regression Analysis

Science.gov (United States)

FENG, Ge; PENG, Jing; TU, Dongke; ZHENG, Julia Z.; FENG, Changyong

2016-01-01

Summary Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection. PMID:28638214

Parental Bonding

Directory of Open Access Journals (Sweden)

T. Paul de Cock

2014-08-01

Full Text Available Estimating the early parent–child bonding relationship can be valuable in research and practice. Retrospective dimensional measures of parental bonding provide a means for assessing the experience of the early parent–child relationship. However, combinations of dimensional scores may provide information that is not readily captured with a dimensional approach. This study was designed to assess the presence of homogeneous groups in the population with similar profiles on parental bonding dimensions. Using a short version of the Parental Bonding Instrument (PBI, three parental bonding dimensions (care, authoritarianism, and overprotection were used to assess the presence of unobserved groups in the population using latent profile analysis. The class solutions were regressed on 23 covariates (demographics, parental psychopathology, loss events, and childhood contextual factors to assess the validity of the class solution. The results indicated four distinct profiles of parental bonding for fathers as well as mothers. Parental bonding profiles were significantly associated with a broad range of covariates. This person-centered approach to parental bonding has broad utility in future research which takes into account the effect of parent–child bonding, especially with regard to “affectionless control” style parenting.

Using Dominance Analysis to Determine Predictor Importance in Logistic Regression

Science.gov (United States)

Azen, Razia; Traxel, Nicole

2009-01-01

This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic regression R[superscript 2] analogues were determined and measures were selected that can be used to perform dominance analysis in logistic regression. A…

Linear regression and sensitivity analysis in nuclear reactor design

International Nuclear Information System (INIS)

Kumar, Akansha; Tsvetkov, Pavel V.; McClarren, Ryan G.

2015-01-01

Highlights: • Presented a benchmark for the applicability of linear regression to complex systems. • Applied linear regression to a nuclear reactor power system. • Performed neutronics, thermal–hydraulics, and energy conversion using Brayton’s cycle for the design of a GCFBR. • Performed detailed sensitivity analysis to a set of parameters in a nuclear reactor power system. • Modeled and developed reactor design using MCNP, regression using R, and thermal–hydraulics in Java. - Abstract: The paper presents a general strategy applicable for sensitivity analysis (SA), and uncertainity quantification analysis (UA) of parameters related to a nuclear reactor design. This work also validates the use of linear regression (LR) for predictive analysis in a nuclear reactor design. The analysis helps to determine the parameters on which a LR model can be fit for predictive analysis. For those parameters, a regression surface is created based on trial data and predictions are made using this surface. A general strategy of SA to determine and identify the influential parameters those affect the operation of the reactor is mentioned. Identification of design parameters and validation of linearity assumption for the application of LR of reactor design based on a set of tests is performed. The testing methods used to determine the behavior of the parameters can be used as a general strategy for UA, and SA of nuclear reactor models, and thermal hydraulics calculations. A design of a gas cooled fast breeder reactor (GCFBR), with thermal–hydraulics, and energy transfer has been used for the demonstration of this method. MCNP6 is used to simulate the GCFBR design, and perform the necessary criticality calculations. Java is used to build and run input samples, and to extract data from the output files of MCNP6, and R is used to perform regression analysis and other multivariate variance, and analysis of the collinearity of data

Least Squares Adjustment: Linear and Nonlinear Weighted Regression Analysis

DEFF Research Database (Denmark)

Nielsen, Allan Aasbjerg

2007-01-01

This note primarily describes the mathematics of least squares regression analysis as it is often used in geodesy including land surveying and satellite positioning applications. In these fields regression is often termed adjustment. The note also contains a couple of typical land surveying...... and satellite positioning application examples. In these application areas we are typically interested in the parameters in the model typically 2- or 3-D positions and not in predictive modelling which is often the main concern in other regression analysis applications. Adjustment is often used to obtain...... the clock error) and to obtain estimates of the uncertainty with which the position is determined. Regression analysis is used in many other fields of application both in the natural, the technical and the social sciences. Examples may be curve fitting, calibration, establishing relationships between...

Design and analysis of experiments classical and regression approaches with SAS

CERN Document Server

Onyiah, Leonard C

2008-01-01

Introductory Statistical Inference and Regression Analysis Elementary Statistical Inference Regression Analysis Experiments, the Completely Randomized Design (CRD)-Classical and Regression Approaches Experiments Experiments to Compare Treatments Some Basic Ideas Requirements of a Good Experiment One-Way Experimental Layout or the CRD: Design and Analysis Analysis of Experimental Data (Fixed Effects Model) Expected Values for the Sums of Squares The Analysis of Variance (ANOVA) Table Follow-Up Analysis to Check fo

Children's Divorce and Parent-Child Contact: A Within-Family Analysis of Older European Parents.

Science.gov (United States)

Kalmijn, Matthijs

2016-03-01

Studies have shown that a parental divorce has a negative effect on parent-child relations. This study examines how adult children's divorce affects the amount of contact children have with older parents, making a distinction between the effects of being single on the one hand and the effects of divorce on the other hand. Using data on older adults in 11 European countries, I estimate within-family regression models to compare multiple adult children per parent (19,454 children aged 30-49; 10,476 parents aged 50-96). I analyze contact frequency while taking into account coresidence and distance. When comparing single divorced children and married children, no difference in contact is observed, but divorced children are more likely to live with their parents. When comparing among children who are single, divorced children have less frequent contact with parents than never-married children. This negative divorce effect exists for sons and daughters and is found in 9 of the 11 countries. The divorce of a child has a double meaning: it leads to being single, which is associated with stronger intergenerational ties, but it is also a non-normative and stressful life event, which is associated with weaker intergenerational ties. © The Author 2014. 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.

Sparse Regression by Projection and Sparse Discriminant Analysis

KAUST Repository

Qi, Xin

2015-04-03

© 2015, © American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America. Recent years have seen active developments of various penalized regression methods, such as LASSO and elastic net, to analyze high-dimensional data. In these approaches, the direction and length of the regression coefficients are determined simultaneously. Due to the introduction of penalties, the length of the estimates can be far from being optimal for accurate predictions. We introduce a new framework, regression by projection, and its sparse version to analyze high-dimensional data. The unique nature of this framework is that the directions of the regression coefficients are inferred first, and the lengths and the tuning parameters are determined by a cross-validation procedure to achieve the largest prediction accuracy. We provide a theoretical result for simultaneous model selection consistency and parameter estimation consistency of our method in high dimension. This new framework is then generalized such that it can be applied to principal components analysis, partial least squares, and canonical correlation analysis. We also adapt this framework for discriminant analysis. Compared with the existing methods, where there is relatively little control of the dependency among the sparse components, our method can control the relationships among the components. We present efficient algorithms and related theory for solving the sparse regression by projection problem. Based on extensive simulations and real data analysis, we demonstrate that our method achieves good predictive performance and variable selection in the regression setting, and the ability to control relationships between the sparse components leads to more accurate classification. In supplementary materials available online, the details of the algorithms and theoretical proofs, and R codes for all simulation studies are provided.

The Use of Nonparametric Kernel Regression Methods in Econometric Production Analysis

DEFF Research Database (Denmark)

Czekaj, Tomasz Gerard

and nonparametric estimations of production functions in order to evaluate the optimal firm size. The second paper discusses the use of parametric and nonparametric regression methods to estimate panel data regression models. The third paper analyses production risk, price uncertainty, and farmers' risk preferences...... within a nonparametric panel data regression framework. The fourth paper analyses the technical efficiency of dairy farms with environmental output using nonparametric kernel regression in a semiparametric stochastic frontier analysis. The results provided in this PhD thesis show that nonparametric......This PhD thesis addresses one of the fundamental problems in applied econometric analysis, namely the econometric estimation of regression functions. The conventional approach to regression analysis is the parametric approach, which requires the researcher to specify the form of the regression...

Simulation Experiments in Practice: Statistical Design and Regression Analysis

OpenAIRE

Kleijnen, J.P.C.

2007-01-01

In practice, simulation analysts often change only one factor at a time, and use graphical analysis of the resulting Input/Output (I/O) data. The goal of this article is to change these traditional, naïve methods of design and analysis, because statistical theory proves that more information is obtained when applying Design Of Experiments (DOE) and linear regression analysis. Unfortunately, classic DOE and regression analysis assume a single simulation response that is normally and independen...

A Path Analysis of Latino Parental, Teenager and Cultural Variables in Teenagers' Sexual Attitudes, Norms, Self-Efficacy, and Sexual Intentions.

Science.gov (United States)

Gaioso, Vanessa Pirani; Villarruel, Antonia Maria; Wilson, Lynda Anne; Azuero, Andres; Childs, Gwendolyn Denice; Davies, Susan Lane

2015-01-01

to test a theoretical model based on the Parent-Based Expansion of the Theory of Planned Behavior examining relation between selected parental, teenager and cultural variables and Latino teenagers' intentions to engage in sexual behavior. a cross-sectional correlational design based on a secondary data analysis of 130 Latino parent and teenager dyads. regression and path analysis procedures were used to test seven hypotheses and the results demonstrated partial support for the model. Parent familism and knowledge about sex were significantly associated with parents' attitudes toward sexual communication with their teenagers. Parent Latino acculturation was negatively associated with parents' self-efficacy toward sexual communication with their teenagers and positevely associated with parents' subjective norms toward sexual communication with their teenagers. Teenager knowledge about sex was significantly associated with higher levels of teenagers' attitudes and subjective norms about sexual communication with parents. Only the predictor of teenagers' attitudes toward having sex in the next 3 months was significantly associated with teenagers' intentions to have sex in the next 3 months. the results of this study provide important information to guide future research that can inform development of interventions to prevent risky teenager sexual behavior among Latinos.

General Nature of Multicollinearity in Multiple Regression Analysis.

Science.gov (United States)

Liu, Richard

1981-01-01

Discusses multiple regression, a very popular statistical technique in the field of education. One of the basic assumptions in regression analysis requires that independent variables in the equation should not be highly correlated. The problem of multicollinearity and some of the solutions to it are discussed. (Author)

Parenting styles and child behavior in African American families of preschool children.

Science.gov (United States)

Querido, Jane G; Warner, Tamara D; Eyberg, Sheila M

2002-06-01

Examined the relations between parenting styles and child behavior problems in African American preschool children. Participants were 108 African American female caregivers of 3- to 6-year-old children. Correlational analysis showed that parent-reported child behavior problems were associated with maternal education, family income, and parents' endorsement of authoritative parenting, authoritarian parenting, and permissive parenting. Hierarchical regression analysis showed that the authoritative parenting style was most predictive of fewer child behavior problems. These results are consistent with previous findings with European American families and provide strong support for the cross-cultural validity of the authoritative parenting style.

On logistic regression analysis of dichotomized responses.

Science.gov (United States)

Lu, Kaifeng

2017-01-01

We study the properties of treatment effect estimate in terms of odds ratio at the study end point from logistic regression model adjusting for the baseline value when the underlying continuous repeated measurements follow a multivariate normal distribution. Compared with the analysis that does not adjust for the baseline value, the adjusted analysis produces a larger treatment effect as well as a larger standard error. However, the increase in standard error is more than offset by the increase in treatment effect so that the adjusted analysis is more powerful than the unadjusted analysis for detecting the treatment effect. On the other hand, the true adjusted odds ratio implied by the normal distribution of the underlying continuous variable is a function of the baseline value and hence is unlikely to be able to be adequately represented by a single value of adjusted odds ratio from the logistic regression model. In contrast, the risk difference function derived from the logistic regression model provides a reasonable approximation to the true risk difference function implied by the normal distribution of the underlying continuous variable over the range of the baseline distribution. We show that different metrics of treatment effect have similar statistical power when evaluated at the baseline mean. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

On two flexible methods of 2-dimensional regression analysis

Czech Academy of Sciences Publication Activity Database

Volf, Petr

2012-01-01

Roč. 18, č. 4 (2012), s. 154-164 ISSN 1803-9782 Grant - others:GA ČR(CZ) GAP209/10/2045 Institutional support: RVO:67985556 Keywords : regression analysis * Gordon surface * prediction error * projection pursuit Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2013/SI/volf-on two flexible methods of 2-dimensional regression analysis.pdf

Associations of neighborhood disorganization and maternal spanking with children's aggression: A fixed-effects regression analysis.

Science.gov (United States)

Ma, Julie; Grogan-Kaylor, Andrew; Lee, Shawna J

2018-02-01

This study employed fixed effects regression that controls for selection bias, omitted variables bias, and all time-invariant aspects of parent and child characteristics to examine the simultaneous associations between neighborhood disorganization, maternal spanking, and aggressive behavior in early childhood using data from the Fragile Families and Child Wellbeing Study (FFCWS). Analysis was based on 2,472 children and their mothers who participated in Wave 3 (2001-2003; child age 3) and Wave 4 (2003-2006; child age 5) of the FFCWS. Results indicated that higher rates of neighborhood crime and violence predicted higher levels of child aggression. Maternal spanking in the past year, whether frequent or infrequent, was also associated with increases in aggressive behavior. This study contributes statistically rigorous evidence that exposure to violence in the neighborhood as well as the family context are predictors of child aggression. We conclude with a discussion for the need for multilevel prevention and intervention approaches that target both community and parenting factors. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Yield Stability of Sorghum Hybrids and Parental Lines | Kenga ...

African Journals Online (AJOL)

Seventy-five sorghum hybrids and twenty parental lines were evaluated for two consecutive years at two locations. Our objective was to compare relative stability of grain yields among hybrids and parental lines. Mean grain yields and stability analysis of variance, which included linear regression coefficient (bi) and ...

Effectiveness of the triple P positive parenting program on parenting: A meta-analysis

NARCIS (Netherlands)

Graaf, I. de; Speetjens, P.; Smit, F.; Wolff, M. de; Tavecchio, L.

2008-01-01

Triple P is a parenting program intended to prevent and to provide treatment for severe behavioral, emotional, and developmental problems in children. The aim of this meta-analysis was to assess the effectiveness of Triple P Level 4 interventions on parenting styles and parental competency. Level 4

Rare variant association analysis in case-parents studies by allowing for missing parental genotypes.

Science.gov (United States)

Li, Yumei; Xiang, Yang; Xu, Chao; Shen, Hui; Deng, Hongwen

2018-01-15

The development of next-generation sequencing technologies has facilitated the identification of rare variants. Family-based design is commonly used to effectively control for population admixture and substructure, which is more prominent for rare variants. Case-parents studies, as typical strategies in family-based design, are widely used in rare variant-disease association analysis. Current methods in case-parents studies are based on complete case-parents data; however, parental genotypes may be missing in case-parents trios, and removing these data may lead to a loss in statistical power. The present study focuses on testing for rare variant-disease association in case-parents study by allowing for missing parental genotypes. In this report, we extended the collapsing method for rare variant association analysis in case-parents studies to allow for missing parental genotypes, and investigated the performance of two methods by using the difference of genotypes between affected offspring and their corresponding "complements" in case-parent trios and TDT framework. Using simulations, we showed that, compared with the methods just only using complete case-parents data, the proposed strategy allowing for missing parental genotypes, or even adding unrelated affected individuals, can greatly improve the statistical power and meanwhile is not affected by population stratification. We conclude that adding case-parents data with missing parental genotypes to complete case-parents data set can greatly improve the power of our strategy for rare variant-disease association.

A Path Analysis of Latino Parental, Teenager and Cultural Variables in Teenagers' Sexual Attitudes, Norms, Self-Efficacy, and Sexual Intentions

Directory of Open Access Journals (Sweden)

Vanessa Pirani Gaioso

2015-06-01

Full Text Available OBJECTIVE: to test a theoretical model based on the Parent-Based Expansion of the Theory of Planned Behavior examining relation between selected parental, teenager and cultural variables and Latino teenagers' intentions to engage in sexual behavior.METHOD: a cross-sectional correlational design based on a secondary data analysis of 130 Latino parent and teenager dyads.RESULTS: regression and path analysis procedures were used to test seven hypotheses and the results demonstrated partial support for the model. Parent familism and knowledge about sex were significantly associated with parents' attitudes toward sexual communication with their teenagers. Parent Latino acculturation was negatively associated with parents' self-efficacy toward sexual communication with their teenagers and positevely associated with parents' subjective norms toward sexual communication with their teenagers. Teenager knowledge about sex was significantly associated with higher levels of teenagers' attitudes and subjective norms about sexual communication with parents. Only the predictor of teenagers' attitudes toward having sex in the next 3 months was significantly associated with teenagers' intentions to have sex in the next 3 months.CONCLUSION: the results of this study provide important information to guide future research that can inform development of interventions to prevent risky teenager sexual behavior among Latinos.

Resting-state functional magnetic resonance imaging: the impact of regression analysis.

Science.gov (United States)

Yeh, Chia-Jung; Tseng, Yu-Sheng; Lin, Yi-Ru; Tsai, Shang-Yueh; Huang, Teng-Yi

2015-01-01

To investigate the impact of regression methods on resting-state functional magnetic resonance imaging (rsfMRI). During rsfMRI preprocessing, regression analysis is considered effective for reducing the interference of physiological noise on the signal time course. However, it is unclear whether the regression method benefits rsfMRI analysis. Twenty volunteers (10 men and 10 women; aged 23.4 ± 1.5 years) participated in the experiments. We used node analysis and functional connectivity mapping to assess the brain default mode network by using five combinations of regression methods. The results show that regressing the global mean plays a major role in the preprocessing steps. When a global regression method is applied, the values of functional connectivity are significantly lower (P ≤ .01) than those calculated without a global regression. This step increases inter-subject variation and produces anticorrelated brain areas. rsfMRI data processed using regression should be interpreted carefully. The significance of the anticorrelated brain areas produced by global signal removal is unclear. Copyright © 2014 by the American Society of Neuroimaging.

Development of a User Interface for a Regression Analysis Software Tool

Science.gov (United States)

Ulbrich, Norbert Manfred; Volden, Thomas R.

2010-01-01

An easy-to -use user interface was implemented in a highly automated regression analysis tool. The user interface was developed from the start to run on computers that use the Windows, Macintosh, Linux, or UNIX operating system. Many user interface features were specifically designed such that a novice or inexperienced user can apply the regression analysis tool with confidence. Therefore, the user interface s design minimizes interactive input from the user. In addition, reasonable default combinations are assigned to those analysis settings that influence the outcome of the regression analysis. These default combinations will lead to a successful regression analysis result for most experimental data sets. The user interface comes in two versions. The text user interface version is used for the ongoing development of the regression analysis tool. The official release of the regression analysis tool, on the other hand, has a graphical user interface that is more efficient to use. This graphical user interface displays all input file names, output file names, and analysis settings for a specific software application mode on a single screen which makes it easier to generate reliable analysis results and to perform input parameter studies. An object-oriented approach was used for the development of the graphical user interface. This choice keeps future software maintenance costs to a reasonable limit. Examples of both the text user interface and graphical user interface are discussed in order to illustrate the user interface s overall design approach.

Method for nonlinear exponential regression analysis

Science.gov (United States)

Junkin, B. G.

1972-01-01

Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described. Least squares procedure is used in which the nonlinear problem is linearized by expanding in a Taylor series. Program is written in FORTRAN 5 for the Univac 1108 computer.

Regression of uveal malignant melanomas following cobalt-60 plaque. Correlates between acoustic spectrum analysis and tumor regression

International Nuclear Information System (INIS)

Coleman, D.J.; Lizzi, F.L.; Silverman, R.H.; Ellsworth, R.M.; Haik, B.G.; Abramson, D.H.; Smith, M.E.; Rondeau, M.J.

1985-01-01

Parameters derived from computer analysis of digital radio-frequency (rf) ultrasound scan data of untreated uveal malignant melanomas were examined for correlations with tumor regression following cobalt-60 plaque. Parameters included tumor height, normalized power spectrum and acoustic tissue type (ATT). Acoustic tissue type was based upon discriminant analysis of tumor power spectra, with spectra of tumors of known pathology serving as a model. Results showed ATT to be correlated with tumor regression during the first 18 months following treatment. Tumors with ATT associated with spindle cell malignant melanoma showed over twice the percentage reduction in height as those with ATT associated with mixed/epithelioid melanomas. Pre-treatment height was only weakly correlated with regression. Additionally, significant spectral changes were observed following treatment. Ultrasonic spectrum analysis thus provides a noninvasive tool for classification, prediction and monitoring of tumor response to cobalt-60 plaque

Detecting overdispersion in count data: A zero-inflated Poisson regression analysis

Science.gov (United States)

Afiqah Muhamad Jamil, Siti; Asrul Affendi Abdullah, M.; Kek, Sie Long; Nor, Maria Elena; Mohamed, Maryati; Ismail, Norradihah

2017-09-01

This study focusing on analysing count data of butterflies communities in Jasin, Melaka. In analysing count dependent variable, the Poisson regression model has been known as a benchmark model for regression analysis. Continuing from the previous literature that used Poisson regression analysis, this study comprising the used of zero-inflated Poisson (ZIP) regression analysis to gain acute precision on analysing the count data of butterfly communities in Jasin, Melaka. On the other hands, Poisson regression should be abandoned in the favour of count data models, which are capable of taking into account the extra zeros explicitly. By far, one of the most popular models include ZIP regression model. The data of butterfly communities which had been called as the number of subjects in this study had been taken in Jasin, Melaka and consisted of 131 number of subjects visits Jasin, Melaka. Since the researchers are considering the number of subjects, this data set consists of five families of butterfly and represent the five variables involve in the analysis which are the types of subjects. Besides, the analysis of ZIP used the SAS procedure of overdispersion in analysing zeros value and the main purpose of continuing the previous study is to compare which models would be better than when exists zero values for the observation of the count data. The analysis used AIC, BIC and Voung test of 5% level significance in order to achieve the objectives. The finding indicates that there is a presence of over-dispersion in analysing zero value. The ZIP regression model is better than Poisson regression model when zero values exist.

Parental Separation, Parental Alcoholism, and Timing of First Sexual Intercourse

Science.gov (United States)

Waldron, Mary; Doran, Kelly A.; Bucholz, Kathleen K.; Duncan, Alexis E.; Lynskey, Michael T.; Madden, Pamela A. F.; Sartor, Carolyn E.; Heath, Andrew C.

2015-01-01

Purpose We examined timing of first voluntary sexual intercourse as a joint function of parental separation during childhood and parental history of alcoholism. Methods Data were drawn from a birth cohort of female like-sex twins (n=569 African Ancestry [AA], n=3415 European or other Ancestry [EA]). Cox proportional hazards regression was conducted predicting age at first sex from dummy variables coding for parental separation and parental alcoholism. Propensity score analysis was also employed comparing intact and separated families, stratified by predicted probability of separation. Results Earlier sex was reported by EA twins from separated and alcoholic families, compared to EA twins from intact nonalcoholic families, with effects most pronounced through age 14. Among AA twins, effects of parental separation and parental alcoholism were largely nonsignificant. Results of propensity score analyses confirmed unique risks from parental separation in EA families, where consistent effects of parental separation were observed across predicted probability of separation. For AA families there was poor matching on risk-factors presumed to predate separation, which limited interpretability of survival-analytic findings. Conclusions In European American families, parental separation during childhood is an important predictor of early-onset sex, beyond parental alcoholism and other correlated risk-factors. To characterize risk for African Americans associated with parental separation, additional research is needed where matching on confounders can be achieved. PMID:25907653

An Analysis of Bank Service Satisfaction Based on Quantile Regression and Grey Relational Analysis

Directory of Open Access Journals (Sweden)

Wen-Tsao Pan

2016-01-01

Full Text Available Bank service satisfaction is vital to the success of a bank. In this paper, we propose to use the grey relational analysis to gauge the levels of service satisfaction of the banks. With the grey relational analysis, we compared the effects of different variables on service satisfaction. We gave ranks to the banks according to their levels of service satisfaction. We further used the quantile regression model to find the variables that affected the satisfaction of a customer at a specific quantile of satisfaction level. The result of the quantile regression analysis provided a bank manager with information to formulate policies to further promote satisfaction of the customers at different quantiles of satisfaction level. We also compared the prediction accuracies of the regression models at different quantiles. The experiment result showed that, among the seven quantile regression models, the median regression model has the best performance in terms of RMSE, RTIC, and CE performance measures.

Research and analyze of physical health using multiple regression analysis

Directory of Open Access Journals (Sweden)

T. S. Kyi

2014-01-01

Full Text Available This paper represents the research which is trying to create a mathematical model of the "healthy people" using the method of regression analysis. The factors are the physical parameters of the person (such as heart rate, lung capacity, blood pressure, breath holding, weight height coefficient, flexibility of the spine, muscles of the shoulder belt, abdominal muscles, squatting, etc.., and the response variable is an indicator of physical working capacity. After performing multiple regression analysis, obtained useful multiple regression models that can predict the physical performance of boys the aged of fourteen to seventeen years. This paper represents the development of regression model for the sixteen year old boys and analyzed results.

A Path Analysis of Latino Parental, Teenager and Cultural Variables in Teenagers' Sexual Attitudes, Norms, Self-Efficacy, and Sexual Intentions1

Science.gov (United States)

Gaioso, Vanessa Pirani; Villarruel, Antonia Maria; Wilson, Lynda Anne; Azuero, Andres; Childs, Gwendolyn Denice; Davies, Susan Lane

2015-01-01

OBJECTIVE: to test a theoretical model based on the Parent-Based Expansion of the Theory of Planned Behavior examining relation between selected parental, teenager and cultural variables and Latino teenagers' intentions to engage in sexual behavior. METHOD: a cross-sectional correlational design based on a secondary data analysis of 130 Latino parent and teenager dyads. RESULTS: regression and path analysis procedures were used to test seven hypotheses and the results demonstrated partial support for the model. Parent familism and knowledge about sex were significantly associated with parents' attitudes toward sexual communication with their teenagers. Parent Latino acculturation was negatively associated with parents' self-efficacy toward sexual communication with their teenagers and positevely associated with parents' subjective norms toward sexual communication with their teenagers. Teenager knowledge about sex was significantly associated with higher levels of teenagers' attitudes and subjective norms about sexual communication with parents. Only the predictor of teenagers' attitudes toward having sex in the next 3 months was significantly associated with teenagers' intentions to have sex in the next 3 months. CONCLUSION: the results of this study provide important information to guide future research that can inform development of interventions to prevent risky teenager sexual behavior among Latinos. PMID:26312635

An improved multiple linear regression and data analysis computer program package

Science.gov (United States)

Sidik, S. M.

1972-01-01

NEWRAP, an improved version of a previous multiple linear regression program called RAPIER, CREDUC, and CRSPLT, allows for a complete regression analysis including cross plots of the independent and dependent variables, correlation coefficients, regression coefficients, analysis of variance tables, t-statistics and their probability levels, rejection of independent variables, plots of residuals against the independent and dependent variables, and a canonical reduction of quadratic response functions useful in optimum seeking experimentation. A major improvement over RAPIER is that all regression calculations are done in double precision arithmetic.

[Parenting styles and their relationship with hyperactivity].

Science.gov (United States)

Raya Trenas, Antonio Félix; Herreruzo Cabrera, Javier; Pino Osuna, María José

2008-11-01

The present study aims to determine the relationship among factors that make up the parenting styles according to the PCRI (Parent-Child Relationship Inventory) and hyperactivity reported by parents through the BASC (Behaviour Assessment System for Children). We selected a sample of 32 children between 3 and 14 years old (23 male and 9 female) with risk scores in hyperactivity and another similar group with low scores in hyperactivity. After administering both instruments to the parents, we carried out a binomial logistic regression analysis which resulted in a prediction model for 84.4% of the sample, made up of the PCRI factors: fathers' involvement, communication and role orientation, mothers' parental support, and both parents' limit-setting and autonomy. Moreover, our analysis of the variance produced significant differences in the support perceived by the fathers and mothers of both groups. Lastly, the utility of results to propose intervention strategies within the family based on an authoritative style is discussed.

Functional data analysis of generalized regression quantiles

KAUST Repository

Guo, Mengmeng; Zhou, Lan; Huang, Jianhua Z.; Hä rdle, Wolfgang Karl

2013-01-01

Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.

Functional data analysis of generalized regression quantiles

KAUST Repository

Guo, Mengmeng

2013-11-05

Generalized regression quantiles, including the conditional quantiles and expectiles as special cases, are useful alternatives to the conditional means for characterizing a conditional distribution, especially when the interest lies in the tails. We develop a functional data analysis approach to jointly estimate a family of generalized regression quantiles. Our approach assumes that the generalized regression quantiles share some common features that can be summarized by a small number of principal component functions. The principal component functions are modeled as splines and are estimated by minimizing a penalized asymmetric loss measure. An iterative least asymmetrically weighted squares algorithm is developed for computation. While separate estimation of individual generalized regression quantiles usually suffers from large variability due to lack of sufficient data, by borrowing strength across data sets, our joint estimation approach significantly improves the estimation efficiency, which is demonstrated in a simulation study. The proposed method is applied to data from 159 weather stations in China to obtain the generalized quantile curves of the volatility of the temperature at these stations. © 2013 Springer Science+Business Media New York.

Parental Catastrophizing Partially Mediates the Association between Parent-Reported Child Pain Behavior and Parental Protective Responses

OpenAIRE

Langer, Shelby L.; Romano, Joan M.; Mancl, Lloyd; Levy, Rona L.

2014-01-01

This study sought to model and test the role of parental catastrophizing in relationship to parent-reported child pain behavior and parental protective (solicitous) responses to child pain in a sample of children with Inflammatory Bowel Disease and their parents (n = 184 dyads). Parents completed measures designed to assess cognitions about and responses to their child's abdominal pain. They also rated their child's pain behavior. Mediation analyses were performed using regression-based techn...

Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

Directory of Open Access Journals (Sweden)

Yoon Song Ha

2018-01-01

Full Text Available A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

application of multilinear regression analysis in modeling of soil

African Journals Online (AJOL)

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Accordingly [1, 3] in their work, they applied linear regression ... (MLRA) is a statistical technique that uses several explanatory ... order to check this, they adopted bivariate correlation analysis .... groups, namely A-1 through A-7, based on their relative expected ..... Multivariate Regression in Gorgan Province North of Iran” ...

Multiple regression analysis of Jominy hardenability data for boron treated steels

International Nuclear Information System (INIS)

Komenda, J.; Sandstroem, R.; Tukiainen, M.

1997-01-01

The relations between chemical composition and their hardenability of boron treated steels have been investigated using a multiple regression analysis method. A linear model of regression was chosen. The free boron content that is effective for the hardenability was calculated using a model proposed by Jansson. The regression analysis for 1261 steel heats provided equations that were statistically significant at the 95% level. All heats met the specification according to the nordic countries producers classification. The variation in chemical composition explained typically 80 to 90% of the variation in the hardenability. In the regression analysis elements which did not significantly contribute to the calculated hardness according to the F test were eliminated. Carbon, silicon, manganese, phosphorus and chromium were of importance at all Jominy distances, nickel, vanadium, boron and nitrogen at distances above 6 mm. After the regression analysis it was demonstrated that very few outliers were present in the data set, i.e. data points outside four times the standard deviation. The model has successfully been used in industrial practice replacing some of the necessary Jominy tests. (orig.)

Parental separation, parental alcoholism, and timing of first sexual intercourse.

Science.gov (United States)

Waldron, Mary; Doran, Kelly A; Bucholz, Kathleen K; Duncan, Alexis E; Lynskey, Michael T; Madden, Pamela A F; Sartor, Carolyn E; Heath, Andrew C

2015-05-01

We examined timing of first voluntary sexual intercourse as a joint function of parental separation during childhood and parental history of alcoholism. Data were drawn from a birth cohort of female like-sex twins (n = 569 African ancestry [AA]; n = 3,415 European or other ancestry [EA]). Cox proportional hazards regression was conducted predicting age at first sex from dummy variables coding for parental separation and parental alcoholism. Propensity score analysis was also employed to compare intact and separated families, stratified by predicted probability of separation. Earlier sex was reported by EA twins from separated and alcoholic families, compared to EA twins from intact nonalcoholic families, with effects most pronounced through the age of 14 years. Among AA twins, effects of parental separation and parental alcoholism were largely nonsignificant. Results of propensity score analyses confirmed unique risks from parental separation in EA families, where consistent effects of parental separation were observed across predicted probability of separation. For AA families, there was poor matching on risk factors presumed to predate separation, which limited interpretability of survival-analytic findings. In European American families, parental separation during childhood is an important predictor of early-onset sex, beyond parental alcoholism and other correlated risk factors. To characterize risk for African Americans associated with parental separation, additional research is needed where matching on confounders can be achieved. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Understanding logistic regression analysis

OpenAIRE

Sperandei, Sandro

2014-01-01

Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using ex...

Family socialization of adolescent's self-reported cigarette use: the role of parents' history of regular smoking and parenting style.

Science.gov (United States)

Foster, Sarah E; Jones, Deborah J; Olson, Ardis L; Forehand, Rex; Gaffney, Cecelia A; Zens, Michael S; Bau, J J

2007-05-01

To examine the main and interactive effects of parental history of regular cigarette smoking and parenting style on adolescent self-reported cigarette use. Predictors of adolescent self-reported cigarette use, including parents' history of regular cigarette smoking and two dimensions of parenting behavior, were analyzed in a sample of 934 predominately Caucasian (96.3%) parent-adolescent dyads. Families were drawn from the control group of a randomized control trial aimed at preventing adolescent substance use. In addition to the main effects of parents' history of regular smoking and parental warmth, logistic regression analysis revealed that the interaction of these two variables was associated with adolescent self-reported cigarette use. Parental warmth was associated with a decreased likelihood of the adolescent ever having smoked a cigarette; however, this was true only if neither parent had a history of regular cigarette smoking. Findings suggest that adolescent smoking prevention programs may be more efficacious if they address both parental history of regular smoking and parenting behavior.

Discrepancies Between Perceptions of the Parent-Adolescent Relationship and Early Adolescent Depressive Symptoms : An Illustration of Polynomial Regression Analysis

NARCIS (Netherlands)

Nelemans, S. A.; Branje, S. J. T.; Hale, W. W.; Goossens, L.; Koot, H. M.; Oldehinkel, A. J.; Meeus, W. H. J.

2016-01-01

Adolescence is a critical period for the development of depressive symptoms. Lower quality of the parent-adolescent relationship has been consistently associated with higher adolescent depressive symptoms, but discrepancies in perceptions of parents and adolescents regarding the quality of their

Discrepancies between perceptions of the parent-adolescent relationship and early adolescent depressive symptoms : An illustration of polynomial regression analysis

NARCIS (Netherlands)

Nelemans, S. A.; Branje, S. J. T.; Hale, W. W.; Goossens, L.; Koot, H. M.; Oldehinkel, A. J.; Meeus, W.H.J.

2016-01-01

Adolescence is a critical period for the development of depressive symptoms. Lower quality of the parent-adolescent relationship has been consistently associated with higher adolescent depressive symptoms, but discrepancies in perceptions of parents and adolescents regarding the quality of their

The impact of pediatric blood and marrow transplant on parents: introduction of the parent impact scale.

Science.gov (United States)

Heinze, Katherine E; Rodday, Angie Mae; Nolan, Marie T; Bingen, Kristin; Kupst, Mary Jo; Patel, Sunita K; Syrjala, Karen; Harris, Lynnette; Recklitis, Christopher; Schwartz, Lisa; Davies, Stella; Guinan, Eva C; Noll, Robert; Chang, Grace; Parsons, Susan K

2015-04-09

Parents often experience stress-related complications when their child requires blood and marrow transplant (BMT). Previous studies have described the emotional toll BMT places on parents during the acute phase of care and within the context of clinical complications. In this paper we introduce the Parent Impact Scale (PARimpact), designed to capture physical and emotional challenges of the child's health on the parent. The primary aim of this paper is to examine psychometric properties of PARimpact, and the secondary aim is to explore factors associated with PARimpact scores for further hypothesis generation. This analysis used a merged dataset of two longitudinal studies. Accompanying parents (n = 363) of children undergoing BMT were surveyed up to six times from pre-BMT baseline to one year after their child's BMT. For this analysis, pre-BMT baseline responses to PARimpact were used to examine the factor structure with Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA). Construct validity was assessed, and multivariable regression was used to examine relationships between PARimpact and BMT clinical variables. PCA and EFA revealed a one-factor solution with acceptable item loading; Cronbach's α was 0.83 at baseline. Hypothesized differences in known groups were detected for BMT complications with significantly higher PARimpact scores for those with vs. without each complication. In the adjusted multivariable regression models, acute graft versus host disease (b = 5.3; p = 0.03), end organ toxicity (b = 5.9; p < 0.01), and systemic infection (b = 9.1; p < 0.01) were associated with significantly higher mean PARimpact scores in the first 3 months following transplant. After the first 3 months to 1 year post BMT, systemic infection was associated with increased mean PARimpact scores (b = 19.2; p < 0.01). Initial results suggest that the PARimpact is valid and reliable. Our finding that clinical

Development and Evaluation of a Parenting Resilience Elements Questionnaire (PREQ Measuring Resiliency in Rearing Children with Developmental Disorders.

Directory of Open Access Journals (Sweden)

Kota Suzuki

Full Text Available We developed a parenting resilience elements questionnaire (PREQ measuring the degree to which mothers possess elements that aid in adapting to challenges and difficulties related to children with developmental disorders (DD. A total of 424 parents of children with DD were recruited from five medical institutes. Psychometric properties of PREQ were evaluated using data of 363 mothers of children with DD. Furthermore, multiple regression analysis was performed, predicting depressive symptoms and parenting behavior with PREQ subscales, a general health questionnaire, and the total difficulties score of a strength and difficulties questionnaire. Factor analysis revealed three reliable factors: "knowledge of the child's characteristics," "perceived social supports," and "positive perceptions of parenting." Moreover, multiple regression analysis showed that "knowledge of the child's characteristics" was associated with parenting behavior, whereas "perceived social supports" predicted depressive symptoms; "positive perceptions of parenting" influenced both parenting behavior and depressive symptoms. These findings indicated that the PREQ may be used as a scale measuring resiliency in mothers of children with DD and is useful for evaluating their parenting ability in clinical interventions.

Relationships between Parental Attachment, Work and Family Roles, and Life Satisfaction

Science.gov (United States)

Perrone, Kristin M.; Webb, L. Kay; Jackson, Z. Vance

2007-01-01

The purpose of this study was to examine the relationship between parental attachment and satisfaction with work and family roles, as well as the relationship of these variables to life satisfaction. Results from a multiple regression analysis indicated that satisfaction with work and marriage, but not parenting satisfaction or parental…

Impact of parenting practices on parent-child relationships in children with specific learning disability

Directory of Open Access Journals (Sweden)

S Karande

2011-01-01

Full Text Available Background: Parents of children with specific learning disability (SpLD undergo stress in coping up with their child′s condition. Aims: To document the parenting practices of parents having a child with newly diagnosed SpLD and to analyze their impact on parent-child relationships. Settings and Design: Cross-sectional questionnaire-based study in our clinic. Materials and Methods: From May 2007 to January 2008, 150 parents (either mother or father of children consecutively diagnosed as having SpLD were enrolled. Parenting practices and parent-child relationships were measured by the Alabama Parenting Questionnaire-Parent Form (APQ-PF and the Parent Child Relationship Questionnaire (PCRQ, respectively. Statistical Analysis Used: Pearson correlation coefficients between subscales of APQ-PF and PCRQ were computed. Multiple regression analysis was carried out for statistical significance of the clinical and demographic variables. Results: Parents who were: (i "involved" in parenting had a good "personal relationship and disciplinary warmth," (ii practicing "positive parenting" had good "warmth, personal relationship and disciplinary warmth," (iii "poorly supervising" their child′s activities lacked "warmth and personal relationship," (iv practicing "inconsistent discipline′ had a higher "power assertion" and (v practicing "corporal punishment" lacked "warmth" and had a higher "power assertion and possessiveness" in their relationships with their child. Parent being poorly educated or currently ill and child having all three types of SpLD present concomitantly or a sibling or a sibling with a chronic disability or being in class standard IX to XI were variables that independently predicted a poor parenting or parent-child relationship subscale score. Conclusions: The present study has identified parenting practices that need to be encouraged or excluded for improving parent-child relationships. Initiating these measures would help in the

Background stratified Poisson regression analysis of cohort data.

Science.gov (United States)

Richardson, David B; Langholz, Bryan

2012-03-01

Background stratified Poisson regression is an approach that has been used in the analysis of data derived from a variety of epidemiologically important studies of radiation-exposed populations, including uranium miners, nuclear industry workers, and atomic bomb survivors. We describe a novel approach to fit Poisson regression models that adjust for a set of covariates through background stratification while directly estimating the radiation-disease association of primary interest. The approach makes use of an expression for the Poisson likelihood that treats the coefficients for stratum-specific indicator variables as 'nuisance' variables and avoids the need to explicitly estimate the coefficients for these stratum-specific parameters. Log-linear models, as well as other general relative rate models, are accommodated. This approach is illustrated using data from the Life Span Study of Japanese atomic bomb survivors and data from a study of underground uranium miners. The point estimate and confidence interval obtained from this 'conditional' regression approach are identical to the values obtained using unconditional Poisson regression with model terms for each background stratum. Moreover, it is shown that the proposed approach allows estimation of background stratified Poisson regression models of non-standard form, such as models that parameterize latency effects, as well as regression models in which the number of strata is large, thereby overcoming the limitations of previously available statistical software for fitting background stratified Poisson regression models.

Parental Romantic Expectations and Parent-Child Sexuality Communication in Autism Spectrum Disorders

Science.gov (United States)

Holmes, Laura G.; Himle, Michael B.; Strassberg, Donald S.

2016-01-01

This study examined the relationship between core symptoms of autism spectrum disorder, parental romantic expectations, and parental provision of sexuality and relationship education in an online sample of 190 parents of youth 12-18 years of age with a parent-reported diagnosis of autism spectrum disorder. Regression analyses were conducted…

Parents' Perception of Satisfaction With Pediatric Nurse Practitioners' Care And Parental Intent to Adhere To Recommended Health Care Regimen.

Science.gov (United States)

Kinder, Frances DiAnna

2016-01-01

The purposes of this study were to explore parents' perceptions of satisfaction with care from primary care pediatric nurse practitioners (PNPs) and to explore the relationships of the four components of parental satisfaction with parents' intent to adhere to recommended health care regimen. The study used a descriptive correlational research design. A convenience sample of 91 participants was recruited from practices in southeastern Pennsylvania. The 28-item, Parents' Perceptions of Satisfaction with Care from Pediatric Nurse Practitioners (PPSC-PNP) tool was developed to measure four components of satisfaction and overall satisfaction of parents with PNP care after the health visit. A 100 mm visual analog (VAS) scale measured parental intent to adhere to the care regimen recommended by the PNP. Parents' perceptions of overall satisfaction with care from PNPs and satisfaction with each of the four components (communication, clinical competence, caring behavior, and decisional control) were high as measured by the PPSC-PNP. Multiple regression analysis revealed that clinical competence had the strongest positive relationship with parental intent to adhere to PNP recommended health regimen and was the only variable to enter the regression equation. The findings of this study have implications for nursing practice. The PPSC-PNP instrument may be used with a variety of pediatric populations and settings as a benchmark for quality care. Clinical competence is important for the role of the PNP. Other variables of parental intent to adhere to the health regimen should be explored in future studies.

Poisson Regression Analysis of Illness and Injury Surveillance Data

Energy Technology Data Exchange (ETDEWEB)

Frome E.L., Watkins J.P., Ellis E.D.

2012-12-12

The Department of Energy (DOE) uses illness and injury surveillance to monitor morbidity and assess the overall health of the work force. Data collected from each participating site include health events and a roster file with demographic information. The source data files are maintained in a relational data base, and are used to obtain stratified tables of health event counts and person time at risk that serve as the starting point for Poisson regression analysis. The explanatory variables that define these tables are age, gender, occupational group, and time. Typical response variables of interest are the number of absences due to illness or injury, i.e., the response variable is a count. Poisson regression methods are used to describe the effect of the explanatory variables on the health event rates using a log-linear main effects model. Results of fitting the main effects model are summarized in a tabular and graphical form and interpretation of model parameters is provided. An analysis of deviance table is used to evaluate the importance of each of the explanatory variables on the event rate of interest and to determine if interaction terms should be considered in the analysis. Although Poisson regression methods are widely used in the analysis of count data, there are situations in which over-dispersion occurs. This could be due to lack-of-fit of the regression model, extra-Poisson variation, or both. A score test statistic and regression diagnostics are used to identify over-dispersion. A quasi-likelihood method of moments procedure is used to evaluate and adjust for extra-Poisson variation when necessary. Two examples are presented using respiratory disease absence rates at two DOE sites to illustrate the methods and interpretation of the results. In the first example the Poisson main effects model is adequate. In the second example the score test indicates considerable over-dispersion and a more detailed analysis attributes the over-dispersion to extra

Personality and parenting style in parents of adolescents.

Science.gov (United States)

Huver, Rose M E; Otten, Roy; de Vries, Hein; Engels, Rutger C M E

2010-06-01

Since parental personality traits are assumed to play a role in parenting behaviors, the current study examined the relation between parental personality and parenting style among 688 Dutch parents of adolescents in the SMILE study. The study assessed Big Five personality traits and derived parenting styles (authoritative, authoritarian, indulgent, and uninvolved) from scores on the underlying dimensions of support and strict control. Regression analyses were used to determine which personality traits were associated with parenting dimensions and styles. As regards dimensions, the two aspects of personality reflecting interpersonal interactions (extraversion and agreeableness) were related to supportiveness. Emotional stability was associated with lower strict control. As regards parenting styles, extraverted, agreeable, and less emotionally stable individuals were most likely to be authoritative parents. Conscientiousness and openness did not relate to general parenting, but might be associated with more content-specific acts of parenting.

A Quality Assessment Tool for Non-Specialist Users of Regression Analysis

Science.gov (United States)

Argyrous, George

2015-01-01

This paper illustrates the use of a quality assessment tool for regression analysis. It is designed for non-specialist "consumers" of evidence, such as policy makers. The tool provides a series of questions such consumers of evidence can ask to interrogate regression analysis, and is illustrated with reference to a recent study published…

Parental fatigue and parenting practices during early childhood: an Australian community survey.

Science.gov (United States)

Cooklin, A R; Giallo, R; Rose, N

2012-09-01

Parenting behaviours are influenced by a range of factors, including parental functioning. Although common, the influence of parental fatigue on parenting practices is not known. The first aim of this study was to investigate the relationship between fatigue and parenting practices. The second aim was to identify parental psychosocial factors significantly associated with fatigue. A sample of 1276 Australian parents, of at least one child aged 0-5 years, completed a survey. Demographic, psychosocial (social support, coping responses) and parental sleep and self-care information was collected. Hierarchical regression was performed to assess the contribution of fatigue (modified Fatigue Assessment Scale) to parental practices (warmth, irritability and involvement), and parenting experiences (Parenting Stress Index, Parenting Sense of Competence Scale). Hierarchical multiple regression assessed the contribution of a range of parental sleep, psychosocial (social support, coping responses) and self-care variables to fatigue when demographic characteristics were held constant. Higher fatigue was significantly associated with lower parental competence (β=-0.17, P parenting stress (β= 0.21, P parent-child interactions (β= 0.11, P parental fatigue, including inadequate social support, poorer diet, poorer sleep quality and ineffective coping styles including self-blame and behaviour disengagement. Fatigue is common, and results suggest that fatigue contributes to adverse parental practices and experiences. However, possible risk factors for higher fatigue were identified in this study, indicating opportunities for intervention, management and support for parents. © 2011 Blackwell Publishing Ltd.

Background stratified Poisson regression analysis of cohort data

International Nuclear Information System (INIS)

Richardson, David B.; Langholz, Bryan

2012-01-01

Background stratified Poisson regression is an approach that has been used in the analysis of data derived from a variety of epidemiologically important studies of radiation-exposed populations, including uranium miners, nuclear industry workers, and atomic bomb survivors. We describe a novel approach to fit Poisson regression models that adjust for a set of covariates through background stratification while directly estimating the radiation-disease association of primary interest. The approach makes use of an expression for the Poisson likelihood that treats the coefficients for stratum-specific indicator variables as 'nuisance' variables and avoids the need to explicitly estimate the coefficients for these stratum-specific parameters. Log-linear models, as well as other general relative rate models, are accommodated. This approach is illustrated using data from the Life Span Study of Japanese atomic bomb survivors and data from a study of underground uranium miners. The point estimate and confidence interval obtained from this 'conditional' regression approach are identical to the values obtained using unconditional Poisson regression with model terms for each background stratum. Moreover, it is shown that the proposed approach allows estimation of background stratified Poisson regression models of non-standard form, such as models that parameterize latency effects, as well as regression models in which the number of strata is large, thereby overcoming the limitations of previously available statistical software for fitting background stratified Poisson regression models. (orig.)

Understanding logistic regression analysis.

Science.gov (United States)

Sperandei, Sandro

2014-01-01

Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.

Perceived Parental Disorders as Risk Factors for Child Sexual ...

African Journals Online (AJOL)

Four hundred and fourteen secondary school students in standard 9 and 10 in 3 ... Logistic Regression Analysis shows that among all the participants, `parent ... Mental health and social workers, educators and law enforcement agencies ...

Perceptions of parental smoking and sociodemographic factors associated with the adoption of home smoking bans among parents of school-aged children.

Science.gov (United States)

Chen, Yu-Ting; Chen, Ping-Ling

2014-08-01

Although public smoking restrictions have been implemented, children are still exposed to household smoking. Parental smoking is the main source of children's exposure to secondhand smoke. This study was conducted to examine the factors associated with parents' adoption of home smoking bans. A cross-sectional study was conducted using a self-administered questionnaire to collect data from 768 parents of school-aged children in Taiwan. The home smoking restriction status, parents' perceptions of smoking in the presence of children and its influences, and parents' sociodemographic characteristics were assessed. Hierarchical logistic regression analysis was used to determine the best-fit model. More than 80% of the parents agreed with home smoking bans, whereas only approximately 26% of the parents actually restricted smoking at home completely. The crude odds ratios showed that parents who perceived the influence of parental smoking on children to be negative were more likely to adopt home smoking bans. Hierarchical logistic regression revealed factors associated with the adoption of home smoking bans, including a higher education level and older age of parents, a family composed of nonparent adults, and opposition to parental smoking in the presence of children. Children's health is a major concern for parents considering home smoking bans. Helping parents clarify misunderstandings regarding parental smoking, emphasizing the adverse effects of children's exposure to parental smoking, suggesting healthy substitutes for smoking, and providing effective strategies for maintaining a smoke-free home can motivate families to adopt home smoking bans. © The Author 2014. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Retro-regression--another important multivariate regression improvement.

Science.gov (United States)

Randić, M

2001-01-01

We review the serious problem associated with instabilities of the coefficients of regression equations, referred to as the MRA (multivariate regression analysis) "nightmare of the first kind". This is manifested when in a stepwise regression a descriptor is included or excluded from a regression. The consequence is an unpredictable change of the coefficients of the descriptors that remain in the regression equation. We follow with consideration of an even more serious problem, referred to as the MRA "nightmare of the second kind", arising when optimal descriptors are selected from a large pool of descriptors. This process typically causes at different steps of the stepwise regression a replacement of several previously used descriptors by new ones. We describe a procedure that resolves these difficulties. The approach is illustrated on boiling points of nonanes which are considered (1) by using an ordered connectivity basis; (2) by using an ordering resulting from application of greedy algorithm; and (3) by using an ordering derived from an exhaustive search for optimal descriptors. A novel variant of multiple regression analysis, called retro-regression (RR), is outlined showing how it resolves the ambiguities associated with both "nightmares" of the first and the second kind of MRA.

The parenting attitudes and the stress of mothers predict the asthmatic severity of their children: a prospective study.

Science.gov (United States)

Nagano, Jun; Kakuta, Chikage; Motomura, Chikako; Odajima, Hiroshi; Sudo, Nobuyuki; Nishima, Sankei; Kubo, Chiharu

2010-10-07

To examine relationships between a mother's stress-related conditions and parenting attitudes and their children's asthmatic status. 274 mothers of an asthmatic child 2 to 12 years old completed a questionnaire including questions about their chronic stress/coping behaviors (the "Stress Inventory"), parenting attitudes (the "Ta-ken Diagnostic Test for Parent-Child Relationship, Parent Form"), and their children's disease status. One year later, a follow-up questionnaire was mailed to the mothers that included questions on the child's disease status. 223 mothers (81%) responded to the follow-up survey. After controlling for non-psychosocial factors including disease severity at baseline, multiple linear regression analysis followed by multiple logistic regression analysis found chronic irritation/anger and emotional suppression to be aggravating factors for children aged types of parental stress/coping behaviors and parenting styles may differently predict their children's asthmatic status, and such associations may change as children grow.

Linear regression analysis: part 14 of a series on evaluation of scientific publications.

Science.gov (United States)

Schneider, Astrid; Hommel, Gerhard; Blettner, Maria

2010-11-01

Regression analysis is an important statistical method for the analysis of medical data. It enables the identification and characterization of relationships among multiple factors. It also enables the identification of prognostically relevant risk factors and the calculation of risk scores for individual prognostication. This article is based on selected textbooks of statistics, a selective review of the literature, and our own experience. After a brief introduction of the uni- and multivariable regression models, illustrative examples are given to explain what the important considerations are before a regression analysis is performed, and how the results should be interpreted. The reader should then be able to judge whether the method has been used correctly and interpret the results appropriately. The performance and interpretation of linear regression analysis are subject to a variety of pitfalls, which are discussed here in detail. The reader is made aware of common errors of interpretation through practical examples. Both the opportunities for applying linear regression analysis and its limitations are presented.

Management of Industrial Performance Indicators: Regression Analysis and Simulation

Directory of Open Access Journals (Sweden)

Walter Roberto Hernandez Vergara

2017-11-01

Full Text Available Stochastic methods can be used in problem solving and explanation of natural phenomena through the application of statistical procedures. The article aims to associate the regression analysis and systems simulation, in order to facilitate the practical understanding of data analysis. The algorithms were developed in Microsoft Office Excel software, using statistical techniques such as regression theory, ANOVA and Cholesky Factorization, which made it possible to create models of single and multiple systems with up to five independent variables. For the analysis of these models, the Monte Carlo simulation and analysis of industrial performance indicators were used, resulting in numerical indices that aim to improve the goals’ management for compliance indicators, by identifying systems’ instability, correlation and anomalies. The analytical models presented in the survey indicated satisfactory results with numerous possibilities for industrial and academic applications, as well as the potential for deployment in new analytical techniques.

Least-Squares Linear Regression and Schrodinger's Cat: Perspectives on the Analysis of Regression Residuals.

Science.gov (United States)

Hecht, Jeffrey B.

The analysis of regression residuals and detection of outliers are discussed, with emphasis on determining how deviant an individual data point must be to be considered an outlier and the impact that multiple suspected outlier data points have on the process of outlier determination and treatment. Only bivariate (one dependent and one independent)…

Predicting Dropouts of University Freshmen: A Logit Regression Analysis.

Science.gov (United States)

Lam, Y. L. Jack

1984-01-01

Stepwise discriminant analysis coupled with logit regression analysis of freshmen data from Brandon University (Manitoba) indicated that six tested variables drawn from research on university dropouts were useful in predicting attrition: student status, residence, financial sources, distance from home town, goal fulfillment, and satisfaction with…

Simulation Experiments in Practice : Statistical Design and Regression Analysis

NARCIS (Netherlands)

Kleijnen, J.P.C.

2007-01-01

In practice, simulation analysts often change only one factor at a time, and use graphical analysis of the resulting Input/Output (I/O) data. Statistical theory proves that more information is obtained when applying Design Of Experiments (DOE) and linear regression analysis. Unfortunately, classic

Quality of life in breast cancer patients--a quantile regression analysis.

Science.gov (United States)

Pourhoseingholi, Mohamad Amin; Safaee, Azadeh; Moghimi-Dehkordi, Bijan; Zeighami, Bahram; Faghihzadeh, Soghrat; Tabatabaee, Hamid Reza; Pourhoseingholi, Asma

2008-01-01

Quality of life study has an important role in health care especially in chronic diseases, in clinical judgment and in medical resources supplying. Statistical tools like linear regression are widely used to assess the predictors of quality of life. But when the response is not normal the results are misleading. The aim of this study is to determine the predictors of quality of life in breast cancer patients, using quantile regression model and compare to linear regression. A cross-sectional study conducted on 119 breast cancer patients that admitted and treated in chemotherapy ward of Namazi hospital in Shiraz. We used QLQ-C30 questionnaire to assessment quality of life in these patients. A quantile regression was employed to assess the assocciated factors and the results were compared to linear regression. All analysis carried out using SAS. The mean score for the global health status for breast cancer patients was 64.92+/-11.42. Linear regression showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant. In spite of linear regression, financial difficulties were not significant in quantile regression analysis and dyspnea was only significant for first quartile. Also emotion functioning and duration of disease statistically predicted the QOL score in the third quartile. The results have demonstrated that using quantile regression leads to better interpretation and richer inference about predictors of the breast cancer patient quality of life.

Parental Divorce in Australia, Cohorts Born 1900 - 1975

OpenAIRE

M. D. R. Evans; Jonathan Kelley

2004-01-01

This paper examines the sources of parental divorce in Australia using respondents' retrospective reports of parents' behaviour in the IsssA-Pool database, a pooled series of representative national samples of Australia conducted between 1984 and 2002 (N=19,601 valid cases for this analysis). We analyse the probability of divorce using logistic regression models. The results include a very large effect of time, with people reaching age 14 before the Family Law Act took effect being much less ...

Parent-child attachment: meta-analysis of associations with parenting behaviors in middle childhood and adolescence.

Science.gov (United States)

Koehn, Amanda J; Kerns, Kathryn A

2018-08-01

Maternal sensitivity predicts mother-child attachment in young children, but no meta-analysis has investigated the link between parenting and parent-child attachment in older children. This study examined the relationship between parent-child attachment and multiple components of parenting in children 5-18 years of age. A series of meta-analyses showed that parents of children with more secure attachment are more responsive, more supportive of the child's autonomy, use more behavioral control strategies, and use less harsh control strategies. Parents of children with more avoidant attachment were less responsive and used less behavioral control strategies. Ambivalent attachment was not significantly related to any of the parenting behaviors, and there were not enough studies to reliably test the relationship between disorganized attachment and parenting. There were few significant moderators. The findings inform new areas for future research, as well as family interventions for at-risk youth.

The parenting attitudes and the stress of mothers predict the asthmatic severity of their children: a prospective study

Directory of Open Access Journals (Sweden)

Sudo Nobuyuki

2010-10-01

Full Text Available Abstract Objective To examine relationships between a mother's stress-related conditions and parenting attitudes and their children's asthmatic status. Methods 274 mothers of an asthmatic child 2 to 12 years old completed a questionnaire including questions about their chronic stress/coping behaviors (the "Stress Inventory", parenting attitudes (the "Ta-ken Diagnostic Test for Parent-Child Relationship, Parent Form", and their children's disease status. One year later, a follow-up questionnaire was mailed to the mothers that included questions on the child's disease status. Results 223 mothers (81% responded to the follow-up survey. After controlling for non-psychosocial factors including disease severity at baseline, multiple linear regression analysis followed by multiple logistic regression analysis found chronic irritation/anger and emotional suppression to be aggravating factors for children aged Conclusions Different types of parental stress/coping behaviors and parenting styles may differently predict their children's asthmatic status, and such associations may change as children grow.

Dyadic analysis of child and parent trait and state pain catastrophizing in the process of children's pain communication.

Science.gov (United States)

Birnie, Kathryn A; Chambers, Christine T; Chorney, Jill; Fernandez, Conrad V; McGrath, Patrick J

2016-04-01

When explored separately, child and parent catastrophic thoughts about child pain show robust negative relations with child pain. The objective of this study was to conduct a dyadic analysis to elucidate intrapersonal and interpersonal influences of child and parent pain catastrophizing on aspects of pain communication, including observed behaviours and perceptions of child pain. A community sample of 171 dyads including children aged 8 to 12 years (89 girls) and parents (135 mothers) rated pain catastrophizing (trait and state versions) and child pain intensity and unpleasantness following a cold pressor task. Child pain tolerance was also assessed. Parent-child interactions during the cold pressor task were coded for parent attending, nonattending, and other talk, and child symptom complaints and other talk. Data were analyzed using the actor-partner interdependence model and hierarchical multiple regressions. Children reporting higher state pain catastrophizing had greater symptom complaints regardless of level of parent state pain catastrophizing. Children reporting low state pain catastrophizing had similar high levels of symptom complaints, but only when parents reported high state pain catastrophizing. Higher child and parent state and/or trait pain catastrophizing predicted their own ratings of higher child pain intensity and unpleasantness, with child state pain catastrophizing additionally predicting parent ratings. Higher pain tolerance was predicted by older child age and lower child state pain catastrophizing. These newly identified interpersonal effects highlight the relevance of the social context to children's pain expressions and parent perceptions of child pain. Both child and parent pain catastrophizing warrant consideration when managing child pain.

The Incredible Years Parent-Toddler Programme and parental language: a randomised controlled trial.

Science.gov (United States)

Gridley, N; Hutchings, J; Baker-Henningham, H

2015-01-01

Parental language is associated with children's later language development. Parenting programmes, based on social learning theory, enhance a range of parenting behaviours, yet there is limited evidence for their effect on parental language. To assess the benefits of a behavioural-based parenting programme, which features components of language and communication, to enhance parental language. Parents of toddlers, aged 12 to 36 months, were recruited from eight Flying Start early intervention centres across Wales. Participants were randomised 2:1 either to a parenting programme (n = 60) or to a wait-list control group (n = 29). Researchers were blind to participant allocation throughout the trial. Fifteen-minute video-recorded observations of parents and children interacting during free-play, both at a pre-intervention and at 6-month follow-up, provided the data for the study. Five observed measures of parental language were assessed; quantity and variety, encouraging, critical, child-led and parent led interactions. The Incredible Years Parent-Toddler Programme (IYPTP) is a 12-week group-based behavioural intervention that teaches effective relationship and behavioural management skills including social, emotional and persistence coaching to enable parents to better support their children's development. Of 89 dyads that completed pre-intervention assessments 81 (54 intervention and 27 control) met the criteria for the current study. Intention to treat analysis indicated that child-led language interactions significantly benefited from the intervention [regression coefficient (B) = -1.44, 95% confidence intervals (CI) = -2.59 to -0.29, P = 0.015, effect size (ES) = 0.47] and a positive trend for encouraging language in favour of the intervention sample was evident. Per-protocol sample analysis replicated these findings with encouraging language reaching statistical significance (B = 1.07, 95% CI = 0.11 to 2.03, P = 0.03, ES = 0.52). No further benefits were evident

Reciprocal Influences Between Maternal Parenting and Child Adjustment in a High-risk Population: A Five-Year Cross-Lagged Analysis of Bidirectional Effects

Science.gov (United States)

Barbot, Baptiste; Crossman, Elizabeth; Hunter, Scott R.; Grigorenko, Elena L.; Luthar, Suniya S.

2014-01-01

This study examines longitudinally the bidirectional influences between maternal parenting (behaviors and parenting stress) and mothers' perceptions of their children's adjustment, in a multivariate approach. Data was gathered from 361 low-income mothers (many with psychiatric diagnoses) reporting on their parenting behavior, parenting stress and their child's adjustment, in a two-wave longitudinal study over 5 years. Measurement models were developed to derive four broad parenting constructs (Involvement, Control, Rejection, and Stress) and three child adjustment constructs (Internalizing problems, Externalizing problems, and Social competence). After measurement invariance of these constructs was confirmed across relevant groups and over time, both measurement models were integrated in a single crossed-lagged regression analysis of latent constructs. Multiple reciprocal influence were observed between parenting and perceived child adjustment over time: Externalizing and internalizing problems in children were predicted by baseline maternal parenting behaviors, while child social competence was found to reduce parental stress and increase parental involvement and appropriate monitoring. These findings on the motherhood experience are discussed in light of recent research efforts to understand mother-child bi-directional influences, and their potential for practical applications. PMID:25089759

Development and Evaluation of a Parenting Resilience Elements Questionnaire (PREQ) Measuring Resiliency in Rearing Children with Developmental Disorders

Science.gov (United States)

Suzuki, Kota; Kobayashi, Tomoka; Moriyama, Karin; Kaga, Makiko; Hiratani, Michio; Watanabe, Kyota; Yamashita, Yushiro; Inagaki, Masumi

2015-01-01

We developed a parenting resilience elements questionnaire (PREQ) measuring the degree to which mothers possess elements that aid in adapting to challenges and difficulties related to children with developmental disorders (DD). A total of 424 parents of children with DD were recruited from five medical institutes. Psychometric properties of PREQ were evaluated using data of 363 mothers of children with DD. Furthermore, multiple regression analysis was performed, predicting depressive symptoms and parenting behavior with PREQ subscales, a general health questionnaire, and the total difficulties score of a strength and difficulties questionnaire. Factor analysis revealed three reliable factors: “knowledge of the child’s characteristics,” “perceived social supports,” and “positive perceptions of parenting.” Moreover, multiple regression analysis showed that “knowledge of the child’s characteristics” was associated with parenting behavior, whereas “perceived social supports” predicted depressive symptoms; “positive perceptions of parenting” influenced both parenting behavior and depressive symptoms. These findings indicated that the PREQ may be used as a scale measuring resiliency in mothers of children with DD and is useful for evaluating their parenting ability in clinical interventions. PMID:26633810

Item-level informant discrepancies across obese-overweight children and their parents on the PedsQL™ 4.0 instrument: an iterative hybrid ordinal logistic regression.

Science.gov (United States)

Jafari, Peyman; Allahyari, Elahe; Salarzadeh, Mina; Bagheri, Zahra

2016-01-01

Child obesity has become a major health concern worldwide. In order to provide successful intervention strategies, it is necessary to understand how obese-overweight children and their parents perceive obesity and its consequences on child's health-related quality of life (HRQoL). This study aimed to assess measurement equivalence of the PedsQL™ 4.0 across obese-overweight children and their parents. The items in the PedsQL™ 4.0 were analysed for differential item functioning (DIF) across obese-overweight children and their parents using an iterative hybrid ordinal logistic regression/item response theory approach. The sample included 647 overweight-obese children and their parents, who completed child and parent reports of the PedsQL™ 4.0, respectively. Overall, 17 out of 23 (74%) items were flagged with DIF across two groups: eight items exhibited uniform DIF and nine items non-uniform DIF. In addition, parents of obese children rated the child's HRQoL significantly lower than their children in all domains of the PedsQL™ 4.0, and this finding did not change whether or not items with uniform DIF were included. Although obese-overweight children and their parents interpret items of the PedsQL™ 4.0 in a conceptually different manner, removing or retaining DIF items in the subscales had no significant effects on group differences. Accordingly, it appears that observed differences in HRQoL scores across child and parent reports are a true difference and not a reflection of measurement artefact.

Visual grading characteristics and ordinal regression analysis during optimisation of CT head examinations.

Science.gov (United States)

Zarb, Francis; McEntee, Mark F; Rainford, Louise

2015-06-01

To evaluate visual grading characteristics (VGC) and ordinal regression analysis during head CT optimisation as a potential alternative to visual grading assessment (VGA), traditionally employed to score anatomical visualisation. Patient images (n = 66) were obtained using current and optimised imaging protocols from two CT suites: a 16-slice scanner at the national Maltese centre for trauma and a 64-slice scanner in a private centre. Local resident radiologists (n = 6) performed VGA followed by VGC and ordinal regression analysis. VGC alone indicated that optimised protocols had similar image quality as current protocols. Ordinal logistic regression analysis provided an in-depth evaluation, criterion by criterion allowing the selective implementation of the protocols. The local radiology review panel supported the implementation of optimised protocols for brain CT examinations (including trauma) in one centre, achieving radiation dose reductions ranging from 24 % to 36 %. In the second centre a 29 % reduction in radiation dose was achieved for follow-up cases. The combined use of VGC and ordinal logistic regression analysis led to clinical decisions being taken on the implementation of the optimised protocols. This improved method of image quality analysis provided the evidence to support imaging protocol optimisation, resulting in significant radiation dose savings. • There is need for scientifically based image quality evaluation during CT optimisation. • VGC and ordinal regression analysis in combination led to better informed clinical decisions. • VGC and ordinal regression analysis led to dose reductions without compromising diagnostic efficacy.

The moderating role of parental smoking on their children's attitudes toward smoking among a predominantly minority sample: a cross-sectional analysis.

Science.gov (United States)

Wilkinson, Anna V; Shete, Sanjay; Prokhorov, Alexander V

2008-07-14

In general having a parent who smokes or smoked is a strong and consistent predictor of smoking initiation among their children while authoritative parenting style, open communication that demonstrates mutual respect between child and parent, and parental expectations not to smoke are protective. It has been hypothesized that parental smoking affects their children's smoking initiation through both imitation of the behavior and effects on attitudes toward smoking. The goals of the current analysis were to examine these two potential mechanisms. In 2003, 1,417 high school students in Houston, Texas, completed a cross-sectional survey as part of the evaluation of an interactive smoking prevention and cessation program delivered via CD-ROM. To assess the relationship between number of parents who currently smoke and children's smoking status, we completed an unconditional logistic regression. To determine whether the attitudes that children of smokers hold toward smoking are significantly more positive than the attitudes of children of non-smokers we examined whether the parents smoking status moderated the relationship between children's attitudes toward smoking and their ever smoking using unconditional logistic regressions. Compared to participants whose parents did not currently smoke, participants who reported one or both parents currently smoke, had increased odds of ever smoking (OR = 1.31; 95% CI: 1.03-1.68; Wald chi2 = 4.78 (df = 1) p = 0.03 and OR = 2.16; 95% CI: 1.51-3.10; Wald chi2 = 17.80 (df = 1) p parent currently smokes (OR = 2.50; 95% CI: 1.96-3.19; Wald chi2 = 54.71 (df = 1) p parents did not smoke (OR = 1.72; 95% CI: 1.40-2.12; Wald chi2 = 26.45 (df = 1) p parental smoking not only directly influences behavior; it also moderates their children's attitudes towards smoking and thereby impacts their children's behavior. Our results demonstrate a continued need for primary prevention smoking interventions to be sensitive to the family context. They also

Regression analysis of radiological parameters in nuclear power plants

International Nuclear Information System (INIS)

Bhargava, Pradeep; Verma, R.K.; Joshi, M.L.

2003-01-01

Indian Pressurized Heavy Water Reactors (PHWRs) have now attained maturity in their operations. Indian PHWR operation started in the year 1972. At present there are 12 operating PHWRs collectively producing nearly 2400 MWe. Sufficient radiological data are available for analysis to draw inferences which may be utilised for better understanding of radiological parameters influencing the collective internal dose. Tritium is the main contributor to the occupational internal dose originating in PHWRs. An attempt has been made to establish the relationship between radiological parameters, which may be useful to draw inferences about the internal dose. Regression analysis have been done to find out the relationship, if it exist, among the following variables: A. Specific tritium activity of heavy water (Moderator and PHT) and tritium concentration in air at various work locations. B. Internal collective occupational dose and tritium release to environment through air route. C. Specific tritium activity of heavy water (Moderator and PHT) and collective internal occupational dose. For this purpose multivariate regression analysis has been carried out. D. Tritium concentration in air at various work location and tritium release to environment through air route. For this purpose multivariate regression analysis has been carried out. This analysis reveals that collective internal dose has got very good correlation with the tritium activity release to the environment through air route. Whereas no correlation has been found between specific tritium activity in the heavy water systems and collective internal occupational dose. The good correlation has been found in case D and F test reveals that it is not by chance. (author)

Comparison of cranial sex determination by discriminant analysis and logistic regression.

Science.gov (United States)

Amores-Ampuero, Anabel; Alemán, Inmaculada

2016-04-05

Various methods have been proposed for estimating dimorphism. The objective of this study was to compare sex determination results from cranial measurements using discriminant analysis or logistic regression. The study sample comprised 130 individuals (70 males) of known sex, age, and cause of death from San José cemetery in Granada (Spain). Measurements of 19 neurocranial dimensions and 11 splanchnocranial dimensions were subjected to discriminant analysis and logistic regression, and the percentages of correct classification were compared between the sex functions obtained with each method. The discriminant capacity of the selected variables was evaluated with a cross-validation procedure. The percentage accuracy with discriminant analysis was 78.2% for the neurocranium (82.4% in females and 74.6% in males) and 73.7% for the splanchnocranium (79.6% in females and 68.8% in males). These percentages were higher with logistic regression analysis: 85.7% for the neurocranium (in both sexes) and 94.1% for the splanchnocranium (100% in females and 91.7% in males).

Regression Analysis: Instructional Resource for Cost/Managerial Accounting

Science.gov (United States)

Stout, David E.

2015-01-01

This paper describes a classroom-tested instructional resource, grounded in principles of active learning and a constructivism, that embraces two primary objectives: "demystify" for accounting students technical material from statistics regarding ordinary least-squares (OLS) regression analysis--material that students may find obscure or…

Can Mindful Parenting Be Observed? Relations between Observational Ratings of Mother-Youth Interactions and Mothers’ Self-Report Mindful Parenting

Science.gov (United States)

Duncan, Larissa G.; Coatsworth, J. Douglas; Gayles, Jochebed G.; Geier, Mary H.; Greenberg, Mark T.

2015-01-01

Research on mindful parenting, an extension of mindfulness to the interpersonal domain of parent-child relationships, has been limited by its reliance on self-report assessment. The current study is the first to examine whether observational indices of parent-youth interactions differentiate between high and low levels of self-reported mindful parenting. The Iowa Family Interaction Rating Scales (IFIRS) were used to code interactions between mothers and their 7th grade youth. Mothers drawn from the top and bottom quartiles (n = 375) of a larger distribution of self-reported interpersonal mindfulness in parenting (N = 804) represented clearly defined high and low mindful parenting groups. Discriminant function analysis (DFA) was used to analyze how well six composite IFIRS observational rating variables (e.g., parental warmth, consistent discipline) discriminated between high and low self-reports of mindful parenting. DFA results were cross-validated, with statistically significant canonical correlations found for both subsamples (p parenting and the observational ratings was also provided through hierarchical regression analyses conducted with a continuous predictor of mindful parenting using the full sample. Thus, the present study provides preliminary evidence for a link between self-reported mindful parenting and observed interactions between parents and youth. PMID:25844494

Policies and practices of parental involvement and parent-teacher relations in Irish primary education: a critical discourse analysis

OpenAIRE

Bennett, Brigid

2015-01-01

This thesis presents a critical discourse analysis of policies of parental involvement in Irish education from the past decade. It explores three questions: Do discourses of parental involvement and teacher professionalism construct parent-teacher relations in Irish primary education?; What implications do these constructions have for policies and practices of parent-teacher relationships, particularly parent-teacher partnerships, in Irish primary education?; How can these constructions be ch...

Relationship between parent-infant attachment and parental satisfaction with supportive nursing care.

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Ghadery-Sefat, Akram; Abdeyazdan, Zahra; Badiee, Zohreh; Zargham-Boroujeni, Ali

2016-01-01

Parent-infant attachment is an important factor in accepting parenting role, accelerating infant survival, and adjusting to the environment outside the uterus. Since family supportive interventions can strengthen the parent-infant caring relationship, this study sought to investigate the relationship between mother-infant attachment and satisfaction of the mothers with the supportive nursing care received in the neonatal intensive care unit (NICU). In this descriptive-correlational study, 210 mothers with premature infants who were hospitalized in the NICUs affiliated to Isfahan Medical University hospitals took part. The data were collected via Maternal Postnatal Attachment Scale and researcher's self-tailored questionnaire based on Nurse Parent Support Tool. Pearson correlation coefficient and multiple linear regressions were used to analyze the collected data. The results showed that the overall score of mother-infant attachment and the overall score of maternal satisfaction correlated with a correlation coefficient of r = 0.195. Also, the overall score of mother-infant attachment and mothers' satisfaction scores in the emotional, communicative-informative, and self-confidence domains correlated with correlation coefficients of r = 0.182, r = 0.0.189, and r = 0.0.304, respectively. The results of multiple regression analysis revealed that about 15% of changes in the dependent variable (mother-infant attachment) could be explained by different dimensions of mothers' satisfaction. The results of the study showed that mother-infant attachment improved by increasing mothers' satisfaction of supportive nursing care. Therefore, it seems necessary to increase maternal satisfaction through given nursing care support, in order to promote mother-infant attachment.

Parenting children with down syndrome: An analysis of parenting styles, parenting dimensions, and parental stress.

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Phillips, B Allyson; Conners, Frances; Curtner-Smith, Mary Elizabeth

2017-09-01

Effective parenting is vital for a child's development. Although much work has been conducted on parenting typically developing children, little work has examined parenting children with Down syndrome. The purpose of the current study was to compare the parenting styles and dimensions in mothers of children with DS and mothers of TD children. Thirty-five mothers of children with DS and 47 mothers of TD children completed questionnaires about parenting, parental stress, child behavior problems, and child executive function. We found that mothers of children with DS use an authoritative parenting style less and a permissive parenting style more than mothers of TD children. Additionally, we found that mothers of children with DS use reasoning/induction and verbal hostility less and ignoring misbehavior more than mothers of TD children. All of these differences, except for those of reasoning/induction, were at least partially accounted for by the higher levels of parental stress in the DS group. Parenting interventions should be focused on reducing parental stress and training mothers to parent under stress in an effort to improve parenting techniques, which would, in theory, improve long-term child outcomes for children with DS. Copyright © 2017 Elsevier Ltd. All rights reserved.

Robust Mediation Analysis Based on Median Regression

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Yuan, Ying; MacKinnon, David P.

2014-01-01

Mediation analysis has many applications in psychology and the social sciences. The most prevalent methods typically assume that the error distribution is normal and homoscedastic. However, this assumption may rarely be met in practice, which can affect the validity of the mediation analysis. To address this problem, we propose robust mediation analysis based on median regression. Our approach is robust to various departures from the assumption of homoscedasticity and normality, including heavy-tailed, skewed, contaminated, and heteroscedastic distributions. Simulation studies show that under these circumstances, the proposed method is more efficient and powerful than standard mediation analysis. We further extend the proposed robust method to multilevel mediation analysis, and demonstrate through simulation studies that the new approach outperforms the standard multilevel mediation analysis. We illustrate the proposed method using data from a program designed to increase reemployment and enhance mental health of job seekers. PMID:24079925

Psychological Well-being and Parenting Styles as Predictors of Mental Health among Students: Implication for Health Promotion

Directory of Open Access Journals (Sweden)

Mohammad reza khodabakhsh

2014-09-01

Full Text Available Introduction: The lack of mental health interferes with one's individual achievement and ability for undertaking the responsibilities of everyday life. Researches show that psychological well-being and parenting styles have an important role in ones' increasing general health. The current study examined the relationship between psychological well-being and parenting styles with students' mental health. Methods: This study was carried out on 278 students (124 boys and 154 girls of Boukan's high schools. The participants were asked to complete psychological well-being inventory and mental health parenting style questionnaire. Data was analyzed using of Pearson correlation coefficient and regression analysis. Results: The results showed that psychological well-being and authoritative parenting styles were significantly related with mental health; also, Permissive parenting styles has significant positive relationship with mental health. The regression analysis indicated that mental health is predictable by psychological well-being and parenting styles. Conclusion: The knowledge of parenting styles and psychological well-being and their relationships with general well-being can provide the significant implications on the provision of students' health. Parenting styles and psychological well-being, as significant variables in general well-being, needs more clinical research.

Multiplication factor versus regression analysis in stature estimation from hand and foot dimensions.

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Krishan, Kewal; Kanchan, Tanuj; Sharma, Abhilasha

2012-05-01

Estimation of stature is an important parameter in identification of human remains in forensic examinations. The present study is aimed to compare the reliability and accuracy of stature estimation and to demonstrate the variability in estimated stature and actual stature using multiplication factor and regression analysis methods. The study is based on a sample of 246 subjects (123 males and 123 females) from North India aged between 17 and 20 years. Four anthropometric measurements; hand length, hand breadth, foot length and foot breadth taken on the left side in each subject were included in the study. Stature was measured using standard anthropometric techniques. Multiplication factors were calculated and linear regression models were derived for estimation of stature from hand and foot dimensions. Derived multiplication factors and regression formula were applied to the hand and foot measurements in the study sample. The estimated stature from the multiplication factors and regression analysis was compared with the actual stature to find the error in estimated stature. The results indicate that the range of error in estimation of stature from regression analysis method is less than that of multiplication factor method thus, confirming that the regression analysis method is better than multiplication factor analysis in stature estimation. Copyright © 2012 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

A comparative study of multiple regression analysis and back ...

Indian Academy of Sciences (India)

Abhijit Sarkar

artificial neural network (ANN) models to predict weld bead geometry and HAZ width in submerged arc welding ... Keywords. Submerged arc welding (SAW); multi-regression analysis (MRA); artificial neural network ..... Degree of freedom.

Parental divorce and adult longevity.

Science.gov (United States)

Larson, Kandyce; Halfon, Neal

2013-02-01

Life course research has established associations between adverse childhood events and later life health. We examine the relationship of experiencing parental divorce before the age of 16 and survival across 34 years of adulthood. Analysis of panel data from a USA-based survey of 6,928 adults residing in Alameda County, California in 1965. Cox regression was used to examine associations between parental divorce and longevity. Controlling for age, race/ethnicity, gender, and childhood socioeconomic position, respondents who recalled a parental divorce during childhood had increased risk of mortality compared to those with no separation. The association was stronger for premature mortality and deaths due to cardiovascular disease. Divorce in childhood was also associated with lowered adult education, fewer social network ties, more depression, and worse health practices. These factors appeared to explain the association with longevity. Parental divorce in childhood is associated with lowered well-being in adulthood and long-term survival. Early prevention and health promotion efforts may be warranted for children who experience parental divorce or discord as a means of supporting enhanced trajectories of health and well-being.

Is parenting style a predictor of suicide attempts in a representative sample of adolescents?

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Donath, Carolin; Graessel, Elmar; Baier, Dirk; Bleich, Stefan; Hillemacher, Thomas

2014-04-26

Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents' suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Three parental variables showed a relevant association with suicide attempts in adolescents - (all protective): mother's warmth and father's warmth in childhood and mother's control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p parental separation events. Parenting style does matter. While children of Authoritative parents profit, children of

Intergenerational support, satisfaction with parent-child relationship and elderly parents' life satisfaction in Hong Kong.

Science.gov (United States)

Peng, Chenhong; Kwok, Chi Leung; Law, Yik Wa; Yip, Paul S F; Cheng, Qijin

2018-01-22

This study examines in what exchange patterns that three types of intergenerational support are associated with elderly parents' life satisfaction, and whether elderly parents' evaluation on parent-child relationship plays a mediation role on those associations. Data were drawn from Hong Kong Panel Survey for Poverty Alleviation. Respondents aged 65 and over were included ( N=504). Three types of support, namely, daily-living, financial, and emotional support were examined in four patterns-the over-benefited , under-benefited , reciprocal and no flow of exchange. A multivariable linear regression was applied to investigate the association between pattern of intergenerational exchange and life satisfaction, and mediation analysis was employed to examine the mediating role of satisfaction with parent-child relationship on their associations. Elderly parents were less satisfied with their lives when they had no flow of exchange in daily-living support, and more satisfied when they were under-benefited in financial support, and over-benefited or reciprocal in emotional support. Elderly parents' satisfaction with parent-child relationship mediated the association between exchange of emotional support and life satisfaction; but not the association between daily-living or financial support and life satisfaction. Different types of intergenerational support are associated with elderly parents' life satisfaction in different patterns.

The moderating role of parental smoking on their children's attitudes toward smoking among a predominantly minority sample: a cross-sectional analysis

Directory of Open Access Journals (Sweden)

Prokhorov Alexander V

2008-07-01

Full Text Available Abstract Background In general having a parent who smokes or smoked is a strong and consistent predictor of smoking initiation among their children while authoritative parenting style, open communication that demonstrates mutual respect between child and parent, and parental expectations not to smoke are protective. It has been hypothesized that parental smoking affects their children's smoking initiation through both imitation of the behavior and effects on attitudes toward smoking. The goals of the current analysis were to examine these two potential mechanisms. Methods In 2003, 1,417 high school students in Houston, Texas, completed a cross-sectional survey as part of the evaluation of an interactive smoking prevention and cessation program delivered via CD-ROM. To assess the relationship between number of parents who currently smoke and children's smoking status, we completed an unconditional logistic regression. To determine whether the attitudes that children of smokers hold toward smoking are significantly more positive than the attitudes of children of non-smokers we examined whether the parents smoking status moderated the relationship between children's attitudes toward smoking and their ever smoking using unconditional logistic regressions. Results Compared to participants whose parents did not currently smoke, participants who reported one or both parents currently smoke, had increased odds of ever smoking (OR = 1.31; 95% CI: 1.03–1.68; Wald χ2 = 4.78 (df = 1 p = 0.03 and OR = 2.16; 95% CI: 1.51–3.10; Wald χ2 = 17.80 (df = 1 p 2 = 54.71 (df = 1 p 2 = 26.45 (df = 1 p Conclusion Children of smokers were more likely to smoke and reported more favorable attitudes toward smoking compared to children of non-smokers. One interpretation of our findings is that parental smoking not only directly influences behavior; it also moderates their children's attitudes towards smoking and thereby impacts their children's behavior. Our results

Multilayer perceptron for robust nonlinear interval regression analysis using genetic algorithms.

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Hu, Yi-Chung

2014-01-01

On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. When training data are not contaminated by outliers, computational models perform well by including almost all given training data in the data interval. Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not. Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm. Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval. Simulation results demonstrate that the proposed method performs well for contaminated datasets.

Stress moderates the relationship between problematic Internet use by parents and problematic Internet use by adolescents.

Science.gov (United States)

Lam, Lawrence T; Wong, Emmy M Y

2015-03-01

Based on the theoretical framework of Problem Behavior and Stress Reduction theories for problematic Internet use (PIU), this study aimed to investigate the relationship between parental PIU and the PIU among adolescents taking into consideration the stress levels of young people. This was a population-based parent and adolescent dyad health survey utilizing a random sampling technique. PIU for both parents and adolescents was measured by the Internet addiction test designed by Young. The stress level of adolescents was assessed using the stress subscale of the Depression Anxiety Stress Scale (DASS). Data were analyzed using logistic regression modeling techniques with adjustment for potential confounding factors with analysis on the modification effect of stress levels on the relationship between parent and adolescent PIU. Of the total 1,098 parent and adolescent dyads with usable information, 263 adolescents (24.0%) and 62 parents (5.7%) could be classified as moderate and severe problematic users of the Internet. About 14% (n = 157) of adolescents could be classified with moderate-to-severe stress. Regression analysis results suggested a significant interaction between parental PIU and adolescents' stress levels on adolescent PIU. Stratified regression analyses by stress level resulted in a significant parent and adolescent PIU relationship in the low stress group (odds ratio, 3.18; 95% confidence interval 1.65-6.14). However, the association between parent and adolescent PIU in the high stress group became insignificant. There was a significant parent and adolescent PIU relationship; however, this relationship is differentially affected by the stress status of the adolescent. The direct implication of the results is that parental Internet use should also be assessed and included as part of the treatment regime for adolescents. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Investigation the Relationship between Goal Orientation and Parenting Styles among Sample of Jordanian University Students

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Mahasneh, Ahmad M.

2014-01-01

The primary purpose of this study is to examine the relationship between goal orientation and parenting styles. Participants of the study completed 650 goal orientation and parenting styles questionnaires. Means, standard deviations, regression and correlation analysis were used for data in establishing the dependence of the two variables. Results…

Exploratory regression analysis: a tool for selecting models and determining predictor importance.

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Braun, Michael T; Oswald, Frederick L

2011-06-01

Linear regression analysis is one of the most important tools in a researcher's toolbox for creating and testing predictive models. Although linear regression analysis indicates how strongly a set of predictor variables, taken together, will predict a relevant criterion (i.e., the multiple R), the analysis cannot indicate which predictors are the most important. Although there is no definitive or unambiguous method for establishing predictor variable importance, there are several accepted methods. This article reviews those methods for establishing predictor importance and provides a program (in Excel) for implementing them (available for direct download at http://dl.dropbox.com/u/2480715/ERA.xlsm?dl=1) . The program investigates all 2(p) - 1 submodels and produces several indices of predictor importance. This exploratory approach to linear regression, similar to other exploratory data analysis techniques, has the potential to yield both theoretical and practical benefits.

Parenting styles and alcohol consumption among Brazilian adolescents.

Science.gov (United States)

Paiva, Fernando Santana; Bastos, Ronaldo Rocha; Ronzani, Telmo Mota

2012-10-01

This study evaluates the correlation between alcohol consumption in adolescence and parenting styles of socialization among Brazilian adolescents. The sample was composed of 273 adolescents, 58% whom were males. Instruments were: 1) Sociodemographic Questionnaire; 2) Demand and Responsiveness Scales; 3) Drug Use Screening Inventory (DUSI). Study analyses employed multiple correspondence analysis and logistic regression. Maternal, but not paternal, authoritative and authoritarian parenting styles were directly related to adolescent alcohol intake. The style that mothers use to interact with their children may influence uptake of high-risk behaviors.

Regression analysis for LED color detection of visual-MIMO system

Science.gov (United States)

Banik, Partha Pratim; Saha, Rappy; Kim, Ki-Doo

2018-04-01

Color detection from a light emitting diode (LED) array using a smartphone camera is very difficult in a visual multiple-input multiple-output (visual-MIMO) system. In this paper, we propose a method to determine the LED color using a smartphone camera by applying regression analysis. We employ a multivariate regression model to identify the LED color. After taking a picture of an LED array, we select the LED array region, and detect the LED using an image processing algorithm. We then apply the k-means clustering algorithm to determine the number of potential colors for feature extraction of each LED. Finally, we apply the multivariate regression model to predict the color of the transmitted LEDs. In this paper, we show our results for three types of environmental light condition: room environmental light, low environmental light (560 lux), and strong environmental light (2450 lux). We compare the results of our proposed algorithm from the analysis of training and test R-Square (%) values, percentage of closeness of transmitted and predicted colors, and we also mention about the number of distorted test data points from the analysis of distortion bar graph in CIE1931 color space.

Evaluation of syngas production unit cost of bio-gasification facility using regression analysis techniques

Energy Technology Data Exchange (ETDEWEB)

Deng, Yangyang; Parajuli, Prem B.

2011-08-10

Evaluation of economic feasibility of a bio-gasification facility needs understanding of its unit cost under different production capacities. The objective of this study was to evaluate the unit cost of syngas production at capacities from 60 through 1800Nm 3/h using an economic model with three regression analysis techniques (simple regression, reciprocal regression, and log-log regression). The preliminary result of this study showed that reciprocal regression analysis technique had the best fit curve between per unit cost and production capacity, with sum of error squares (SES) lower than 0.001 and coefficient of determination of (R 2) 0.996. The regression analysis techniques determined the minimum unit cost of syngas production for micro-scale bio-gasification facilities of $0.052/Nm 3, under the capacity of 2,880 Nm 3/h. The results of this study suggest that to reduce cost, facilities should run at a high production capacity. In addition, the contribution of this technique could be the new categorical criterion to evaluate micro-scale bio-gasification facility from the perspective of economic analysis.

Rethinking Stress in Parents of Preterm Infants: A Meta-Analysis

Science.gov (United States)

Schappin, Renske; Wijnroks, Lex; Uniken Venema, Monica M. A. T.; Jongmans, Marian J.

2013-01-01

Background With improved medical outcome in preterm infants, the psychosocial situation of their families is receiving increasing attention. For parents, the birth of a preterm infant is generally regarded as a stressful experience, and therefore many interventions are based on reducing parental stress. Nevertheless, it remains unclear whether parents of children born preterm experience more stress than parents of term-born children, which would justify these interventions. This meta-analysis provides a comprehensive account of parental stress in parents of preterm infants, from birth of the infant through to their adolescence. Mean levels of stress in specific domains of family functioning were investigated, and stress levels in parents of preterm and term infants, and fathers and mothers of preterm infants, were compared. Furthermore, we investigated moderators of parental stress. Methods and Findings A random-effects meta-analysis was conducted including 38 studies describing 3025 parents of preterm (stress was measured with two parent-reported questionnaires, the Parenting Stress Index and the Parental Stressor Scale: Neonatal Intensive Care Unit. The results indicate that parents of preterm-born children experience only slightly more stress than parents of term-born children, with small effect sizes. Furthermore, mothers have slightly more stress than fathers, but these effect sizes are also small. Parents report more stress for infants with lower gestational ages and lower birth weights. There is a strong effect for infant birth year, with decreasing parental stress from the 1980s onward, probably due to increased quality of care for preterm infants. Conclusions Based on our findings we argue that prematurity can best be regarded as one of the possible complications of birth, and not as a source of stress in itself. PMID:23405105

A primer for biomedical scientists on how to execute model II linear regression analysis.

Science.gov (United States)

Ludbrook, John

2012-04-01

1. There are two very different ways of executing linear regression analysis. One is Model I, when the x-values are fixed by the experimenter. The other is Model II, in which the x-values are free to vary and are subject to error. 2. I have received numerous complaints from biomedical scientists that they have great difficulty in executing Model II linear regression analysis. This may explain the results of a Google Scholar search, which showed that the authors of articles in journals of physiology, pharmacology and biochemistry rarely use Model II regression analysis. 3. I repeat my previous arguments in favour of using least products linear regression analysis for Model II regressions. I review three methods for executing ordinary least products (OLP) and weighted least products (WLP) regression analysis: (i) scientific calculator and/or computer spreadsheet; (ii) specific purpose computer programs; and (iii) general purpose computer programs. 4. Using a scientific calculator and/or computer spreadsheet, it is easy to obtain correct values for OLP slope and intercept, but the corresponding 95% confidence intervals (CI) are inaccurate. 5. Using specific purpose computer programs, the freeware computer program smatr gives the correct OLP regression coefficients and obtains 95% CI by bootstrapping. In addition, smatr can be used to compare the slopes of OLP lines. 6. When using general purpose computer programs, I recommend the commercial programs systat and Statistica for those who regularly undertake linear regression analysis and I give step-by-step instructions in the Supplementary Information as to how to use loss functions. © 2011 The Author. Clinical and Experimental Pharmacology and Physiology. © 2011 Blackwell Publishing Asia Pty Ltd.

External Tank Liquid Hydrogen (LH2) Prepress Regression Analysis Independent Review Technical Consultation Report

Science.gov (United States)

Parsons, Vickie s.

2009-01-01

The request to conduct an independent review of regression models, developed for determining the expected Launch Commit Criteria (LCC) External Tank (ET)-04 cycle count for the Space Shuttle ET tanking process, was submitted to the NASA Engineering and Safety Center NESC on September 20, 2005. The NESC team performed an independent review of regression models documented in Prepress Regression Analysis, Tom Clark and Angela Krenn, 10/27/05. This consultation consisted of a peer review by statistical experts of the proposed regression models provided in the Prepress Regression Analysis. This document is the consultation's final report.

Tutorial on Biostatistics: Linear Regression Analysis of Continuous Correlated Eye Data.

Science.gov (United States)

Ying, Gui-Shuang; Maguire, Maureen G; Glynn, Robert; Rosner, Bernard

2017-04-01

To describe and demonstrate appropriate linear regression methods for analyzing correlated continuous eye data. We describe several approaches to regression analysis involving both eyes, including mixed effects and marginal models under various covariance structures to account for inter-eye correlation. We demonstrate, with SAS statistical software, applications in a study comparing baseline refractive error between one eye with choroidal neovascularization (CNV) and the unaffected fellow eye, and in a study determining factors associated with visual field in the elderly. When refractive error from both eyes were analyzed with standard linear regression without accounting for inter-eye correlation (adjusting for demographic and ocular covariates), the difference between eyes with CNV and fellow eyes was 0.15 diopters (D; 95% confidence interval, CI -0.03 to 0.32D, p = 0.10). Using a mixed effects model or a marginal model, the estimated difference was the same but with narrower 95% CI (0.01 to 0.28D, p = 0.03). Standard regression for visual field data from both eyes provided biased estimates of standard error (generally underestimated) and smaller p-values, while analysis of the worse eye provided larger p-values than mixed effects models and marginal models. In research involving both eyes, ignoring inter-eye correlation can lead to invalid inferences. Analysis using only right or left eyes is valid, but decreases power. Worse-eye analysis can provide less power and biased estimates of effect. Mixed effects or marginal models using the eye as the unit of analysis should be used to appropriately account for inter-eye correlation and maximize power and precision.

Parent-reported suicidal behavior and correlates among adolescents in China.

Science.gov (United States)

Liu, Xianchen; Sun, Zhenxiao; Yang, Yanyun

2008-01-01

Suicidal risk begins to increase during adolescence and is associated with multiple biological, psychological, social, and cultural factors. This study examined the prevalence and psychosocial factors of parent-reported suicidal behavior in Chinese adolescents. A community sample of 1920 adolescents in China participated in an epidemiological study. Parents completed a structured questionnaire including child suicidal behavior, illness history, mental health problems, family history, parenting, and family environment. Multiple logistic regression was used for data analysis. Overall, 2.4% of the sample talked about suicide in the previous 6 months, 3.2% had deliberately hurt themselves or attempted suicide, and 5.1% had either suicidal talk or self-harm. The rate of suicidal behavior increased as adolescents aged. Multivariate logistic regression indicated that the following factors were significantly associated with elevated risk for suicidal behavior: depressive/anxious symptoms, poor maternal health, family conflict, and physical punishment of parental discipline style. Suicidal behavior was reported by parents. No causal relationships could be made based on cross-sectional data. The prevalence rate of parent-reported suicidal behavior is markedly lower than self-reported rate in previous research. Depressive/anxious symptoms and multiple family environmental factors are associated with suicidal behavior in Chinese adolescents.

HPV vaccine for teen boys: Dyadic analysis of parents' and sons' beliefs and willingness.

Science.gov (United States)

Moss, Jennifer L; Reiter, Paul L; Brewer, Noel T

2015-09-01

Parents and adolescents often decide together whether the child should receive human papillomavirus (HPV) vaccine. However, few studies have investigated the dyadic nature of beliefs that affect this process. Data came from the 2010 HPV Immunization in Sons (HIS) Study, a national sample of 412 parents and their adolescent sons. We conducted dyadic multivariate logistic regression to examine the relationships between parents' and sons' HPV vaccine beliefs and their willingness to have the son receive the vaccine. Less than half of parents and sons were willing to have the sons receive HPV vaccine (43% and 29%, respectively). Willing parents and sons anticipated greater regret if the son did not receive HPV vaccine but later contracted an HPV infection (parent odds ratio [OR]=1.72, 95% confidence interval [CI]=1.24-2.40; son OR=1.51, 95% CI=1.04-2.19) (both pCommunication campaigns may be able to target these beliefs to increase parents' and sons' willingness to seek HPV vaccination. Copyright © 2015 Elsevier Inc. All rights reserved.

Non-stationary hydrologic frequency analysis using B-spline quantile regression

Science.gov (United States)

Nasri, B.; Bouezmarni, T.; St-Hilaire, A.; Ouarda, T. B. M. J.

2017-11-01

Hydrologic frequency analysis is commonly used by engineers and hydrologists to provide the basic information on planning, design and management of hydraulic and water resources systems under the assumption of stationarity. However, with increasing evidence of climate change, it is possible that the assumption of stationarity, which is prerequisite for traditional frequency analysis and hence, the results of conventional analysis would become questionable. In this study, we consider a framework for frequency analysis of extremes based on B-Spline quantile regression which allows to model data in the presence of non-stationarity and/or dependence on covariates with linear and non-linear dependence. A Markov Chain Monte Carlo (MCMC) algorithm was used to estimate quantiles and their posterior distributions. A coefficient of determination and Bayesian information criterion (BIC) for quantile regression are used in order to select the best model, i.e. for each quantile, we choose the degree and number of knots of the adequate B-spline quantile regression model. The method is applied to annual maximum and minimum streamflow records in Ontario, Canada. Climate indices are considered to describe the non-stationarity in the variable of interest and to estimate the quantiles in this case. The results show large differences between the non-stationary quantiles and their stationary equivalents for an annual maximum and minimum discharge with high annual non-exceedance probabilities.

Alternative Methods of Regression

CERN Document Server

Birkes, David

2011-01-01

Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models." --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data s

Parenting characteristics in the home environment and adolescent overweight: a latent class analysis.

Science.gov (United States)

Berge, Jerica M; Wall, Melanie; Bauer, Katherine W; Neumark-Sztainer, Dianne

2010-04-01

Parenting style and parental support and modeling of physical activity and healthy dietary intake have been linked to youth weight status, although findings have been inconsistent across studies. Furthermore, little is known about how these factors co-occur, and the influence of the coexistence of these factors on adolescents' weight. This article examines the relationship between the co-occurrence of various parenting characteristics and adolescents' weight status. Data are from Project EAT (eating among teens), a population-based study of 4,746 diverse adolescents. Theoretical and latent class groupings of parenting styles and parenting practices were created. Regression analyses examined the relationship between the created variables and adolescents' BMI. Having an authoritarian mother was associated with higher BMI in sons. The co-occurrence of an authoritarian mother and neglectful father was associated with higher BMI for sons. Daughters' whose fathers did not model or encourage healthy behaviors reported higher BMIs. The co-occurrence of neither parent modeling healthy behaviors was associated with higher BMIs for sons, and incongruent parental modeling and encouraging of healthy behaviors was associated with higher BMIs in daughters. Although, further research into the complex dynamics of the home environment is needed, findings indicate that authoritarian parenting style is associated with higher adolescent weight status and incongruent parenting styles and practices between mothers and fathers are associated with higher adolescent weight status.

Analysis of Movie I am not Stupid 2: Parenting Style

OpenAIRE

Mariana

2015-01-01

This paper, through Singaporean movie I am not Stupid 2, analyzes the relation between parenting and childrens growth process and also the action of parents should do to offer children for having a good growth process. Research was done based on Baumrind theory about parenting analysis to what kind of parenting that the parents of the movie I am not Stupid 2 offer to their children. Research used literature study to summarize, arrange, and analyze of Diana Baumrind as basis of the research. T...

Parenting styles and hormone levels as predictors of physical and indirect aggression in boys and girls

OpenAIRE

Pascual-Sagastizábal, Eider; Azurmendi, Aitziber; Braza, Francisco; Vergara, A.I.; Cardas, Jaione; Sánchez-Martín, José R.

2014-01-01

This study examines the relationship between parenting style, androgen levels, and measures of physical and indirect aggression. Peer ratings of aggression were obtained from 159 eight-year-old children (89 boys and 70 girls). Parenting styles (authoritative, authoritarian or permissive) were assessed using the Parenting Styles and Dimensions Questionnaire (PSDQ).Saliva samples were obtained from children and assayed for testosterone and androstenedione concentrations. A regression analysis r...

Associations between child emotional eating and general parenting style, feeding practices, and parent psychopathology.

Science.gov (United States)

Braden, Abby; Rhee, Kyung; Peterson, Carol B; Rydell, Sarah A; Zucker, Nancy; Boutelle, Kerri

2014-09-01

Emotional eating is the tendency to eat in response to negative emotions. Prior research has identified a relationship between parenting style and child emotional eating, but this has not been examined in clinical samples. Furthermore, the relationship between specific parenting practices (e.g., parent feeding practices) and child emotional eating has not yet been investigated. The current study examined relationships between child emotional eating and both general and specific parenting constructs as well as maternal symptoms of depression and binge eating among a treatment-seeking sample of overweight children. Participants included 106 mother-child dyads who attended a baseline assessment for enrollment in a behavioral intervention for overeating. Ages of children ranged from 8 to 12  years old. Mothers completed self-report measures of their child's emotional eating behavior, their own feeding practices, and symptoms of depression and binge eating. Children completed a self-report measure of their mothers' general parenting style. A stepwise regression analysis was conducted to identify the parent variable that was most strongly related to child emotional eating, controlling for child age and gender. Emotional feeding behavior (i.e., a tendency to offer food to soothe a child's negative emotions) was the parent factor most significantly related to child emotional eating. Findings suggest that emotional feeding practices in parents may be related to emotional eating in children. Treatment with overweight children who engage in emotional eating may be improved by targeting parent feeding practices. Copyright © 2014 Elsevier Ltd. All rights reserved.

Parental TV viewing, parental self-efficacy, media equipment and TV viewing among preschool children.

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Jago, Russell; Sebire, Simon J; Edwards, Mark J; Thompson, Janice L

2013-11-01

This study examined if parental TV viewing, parental self-efficacy or access to media equipment were associated with TV viewing among UK preschool-aged children. Data were derived from a cross-sectional survey of 252 parents of 3-5-year-old children. Parents reported child and parent TV viewing and the number of TVs, DVDs, computers, games consoles, hand-held games consoles, music players and laptop computers in the home. Parents also completed scales which assessed their self-efficacy to limit the screen viewing (SV) and promote the physical activity (PA) and their own PA self-efficacy. Analysis indicated that around two thirds of the children spent two or more hours per day watching TV while 75 % of parents watched ≥ 2 h of TV per day. Logistic regression models showed that children who had a parent who watched ≥ 2 h of TV per day were over five times more likely to also watch ≥ 2 h of TV per day. Each unit increase in parental self-efficacy to limit SV was associated with a 77 % reduction in the likelihood that the child watched ≥ 2 h of TV per day. Each additional piece of media equipment in the home was associated with a 28 % increase in the likelihood that parents watched ≥ 2 h of TV per day. Family-based interventions focusing on changing access to home media equipment and building parental self-efficacy to reduce child TV viewing could form part of efforts to reduce TV viewing among preschool children.

Dietary patterns in the Avon Longitudinal Study of Parents and Children

Science.gov (United States)

Jones, Louise R.; Northstone, Kate

2015-01-01

Publications from the Avon Longitudinal Study of Parents and Children that used empirically derived dietary patterns were reviewed. The relationships of dietary patterns with socioeconomic background and childhood development were examined. Diet was assessed using food frequency questionnaires and food records. Three statistical methods were used: principal components analysis, cluster analysis, and reduced rank regression. Throughout childhood, children and parents have similar dietary patterns. The “health-conscious” and “traditional” patterns were associated with high intakes of fruits and/or vegetables and better nutrient profiles than the “processed” patterns. There was evidence of tracking in childhood diet, with the “health-conscious” patterns tracking most strongly, followed by the “processed” pattern. An “energy-dense, low-fiber, high-fat” dietary pattern was extracted using reduced rank regression; high scores on this pattern were associated with increasing adiposity. Maternal education was a strong determinant of pattern score or cluster membership; low educational attainment was associated with higher scores on processed, energy-dense patterns in both parents and children. The Avon Longitudinal Study of Parents and Children has provided unique insights into the value of empirically derived dietary patterns and has demonstrated that they are a useful tool in nutritional epidemiology. PMID:26395343

Parent-child relationships between Korean American adolescents and their parents.

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Choi, Heeseung; Kim, Minju; Park, Chang Gi; Dancy, Barbara L

2012-09-01

This cross-sectional correlational study examined the association between Korean American adolescents' and their parents' reports of parent-child relationships. A total of 61 Korean American families completed a questionnaire assessing parental knowledge, parental/filial self-efficacy, parent-child communication, and parent-child conflicts. T tests, Pearson's correlations, a scatter diagram, and bivariate regression were used to analyze the data. Both Korean American adolescents and their parents reported that fathers were less knowledgeable about their child's school life and less likely to communicate with their children than were mothers. Fathers reported a significantly lower level of parental self-efficacy than mothers, and adolescents also reported a significantly higher level of filial self-efficacy in mother-child relationships than in father-child relationships. Positive correlations between parents' and adolescents' reports of parent-child relationships were observed. These findings indicated a need for parent education programs or counseling services for Korean American parents of adolescents, particularly fathers with inadequate parental skills and limited communication with their children. Copyright 2012, SLACK Incorporated.

On macroeconomic values investigation using fuzzy linear regression analysis

Directory of Open Access Journals (Sweden)

Richard Pospíšil

2017-06-01

Full Text Available The theoretical background for abstract formalization of the vague phenomenon of complex systems is the fuzzy set theory. In the paper, vague data is defined as specialized fuzzy sets - fuzzy numbers and there is described a fuzzy linear regression model as a fuzzy function with fuzzy numbers as vague parameters. To identify the fuzzy coefficients of the model, the genetic algorithm is used. The linear approximation of the vague function together with its possibility area is analytically and graphically expressed. A suitable application is performed in the tasks of the time series fuzzy regression analysis. The time-trend and seasonal cycles including their possibility areas are calculated and expressed. The examples are presented from the economy field, namely the time-development of unemployment, agricultural production and construction respectively between 2009 and 2011 in the Czech Republic. The results are shown in the form of the fuzzy regression models of variables of time series. For the period 2009-2011, the analysis assumptions about seasonal behaviour of variables and the relationship between them were confirmed; in 2010, the system behaved fuzzier and the relationships between the variables were vaguer, that has a lot of causes, from the different elasticity of demand, through state interventions to globalization and transnational impacts.

The Relationship Between Parenting and Delinquency: A Meta-analysis

NARCIS (Netherlands)

Hoeve, M.; Dubas, J.S.; Eichelsheim, V.I.; Laan, P.H. van der; Smeenk, W.H.; Gerris, J.R.M.

2009-01-01

This meta-analysis of 161 published and unpublished manuscripts was conducted to determine whether the association between parenting and delinquency exists and what the magnitude of this linkage is. The strongest links were found for parental monitoring, psychological control, and negative aspects

The relationship between parenting and delinquency: A meta-analysis

NARCIS (Netherlands)

Hoeve, M.; Dubas, J.S.; Eichelsheim, V.I.; van der Laan, P.H.; Smeenk, W.; Gerris, J.R.M.

2009-01-01

This meta-analysis of 161 published and unpublished manuscripts was conducted to determine whether the association between parenting and delinquency exists and what the magnitude of this linkage is. The strongest links were found for parental monitoring, psychological control, and negative aspects

Links between Parenting Styles, Parent-Child Academic Interaction, Parent-School Interaction, and Early Academic Skills and Social Behaviors in Young Children of English-Speaking Caribbean Immigrants

Science.gov (United States)

Roopnarine, Jaipaul L.; Krishnakumar, Ambika; Metindogan, Aysegul; Evans, Melanie

2006-01-01

This study examined the influence of parenting styles, parent-child academic involvement at home, and parent-school contact on academic skills and social behaviors among kindergarten-age children of Caribbean immigrants. Seventy immigrant mothers and fathers participated in the study. Hierarchical regression analyses revealed that fathers'…

Is the Relationship Between Marital Adjustment and Parenting Stress Mediated or Moderated by Parenting Alliance?

Directory of Open Access Journals (Sweden)

Elena Camisasca

2014-05-01

Full Text Available The purpose of this study was to explore the mediating and moderating effects of parenting alliance on the relationship between marital adjustment, as represented by the dimensions dyadic consensus, dyadic satisfaction, dyadic cohesion, and affectional expression, and maternal and paternal stress. Self-report data were gathered from 236 Italian families (236 mothers: M = 40.9; SD = 4.4 and 236 fathers: M = 42.9; SD = 4.8 of children aged 6–11 years (M = 8.6; SD = 1.7. A set of regression analyses were conducted to examine whether parenting alliance mediates or moderates the relationship between marital adjustment and parenting stress. Regression analyses were consistent with a model of coparenting as a mediator but not as a moderator of the relationship between marital adjustment and parenting stress. In the case of mothers, parenting alliance mediates the relationships between two dimensions of marital adjustment (dyadic consensus and dyadic cohesion on parenting stress; in the case of fathers, parenting alliance serves as a mediator of the relationship between the marital adjustment (in terms of dyadic satisfaction and parenting stress. Implications for future research and interventions are discussed.

Parenting stress in mothers of adults with an intellectual disability: parental cognitions in relation to child characteristics and family support.

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Hill, C; Rose, J

2009-12-01

There is a body of evidence that indicates that the cognitions of parents of children with intellectual disabilities (ID) play an important role in influencing parental stress. However, there is a paucity of evidence about the experience of parents of adult children with ID. This study sought to apply a model of parenting stress to mothers of adults with ID. Of particular interest were the parental cognitions of parenting self-esteem and parental locus of control. Face-to face interviews were administered with 44 mothers of adults with ID. They completed the Vineland Adaptive and Maladaptive Behaviour Scale, the Family Support Scale, the Parenting Sense of Competence Scale, a shortened version of the Parental Locus of Control Scale and the Parenting Stress Index. Correlations were observed between parenting stress and the other study variables. Regression analysis revealed that parental cognitive variables predicted 61% of the variance in parenting stress. Parenting satisfaction, a subscale of the measure of parenting sense of competence, mediated the relationships between adaptive behaviour and parenting stress and between family support and parenting stress. These results indicate the importance of cognitive variables in the stress of mothers of adults with ID. Potential avenues of future research might focus on the experience of fathers and the impact of positive perceptions as a cognitive factor.

The views of parents who experience intergenerational poverty on parenting and play: a qualitative analysis.

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Smith, R L; Stagnitti, K; Lewis, A J; Pépin, G

2015-11-01

There is minimal literature on how parents experiencing intergenerational poverty view their role as parents and the value they place on children's play. The objective of this study was to examine how these parents view their parenting role and their beliefs about children's play. Thirteen mothers of preschool-aged children who experienced intergenerational poverty were recruited to the study. Semi-structured interviews were conducted and were analysed using interpretive phenomenological analysis. Parents described their role as guiding their children to become 'good' people, to teach them skills and provide a routine within the home. There were two disconnections in the data including the view that whilst parenting was hard and lonely, it was also a private matter and participants preferred not to seek support. A second disconnection was in terms of their beliefs about play. Parents believed that whilst play was valuable to their child's development, it was not their role to play with children. However, if parents did play with their child, they noticed positive changes in their child's behaviour. The views of parents who experienced intergenerational poverty were similar to other reported findings in parenting studies. However, the current sample differed on not seeking help for support as well as not seeing their role as playing with their children, even though occasions of joining their child in play were associated with a positive change in their relationship with their child. This has implications for communicating about parenting issues with parents who have experienced intergenerational poverty. © 2015 John Wiley & Sons Ltd.

REGRESSION ANALYSIS OF SEA-SURFACE-TEMPERATURE PATTERNS FOR THE NORTH PACIFIC OCEAN.

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SEA WATER, *SURFACE TEMPERATURE, *OCEANOGRAPHIC DATA, PACIFIC OCEAN, REGRESSION ANALYSIS , STATISTICAL ANALYSIS, UNDERWATER EQUIPMENT, DETECTION, UNDERWATER COMMUNICATIONS, DISTRIBUTION, THERMAL PROPERTIES, COMPUTERS.

Regression analysis understanding and building business and economic models using Excel

CERN Document Server

Wilson, J Holton

2012-01-01

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book will teach you the essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The authors take a non-theoretical treatment that is accessible even if you have a limited statistical background. It is specifically designed to teach the correct use of regression, while advising you of its limitations and teaching about common pitfalls. This book describe

Predicting Early Maladaptive Schemas Using Baumrind's Parenting Styles.

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Esmali Kooraneh, Ahmad; Amirsardari, Leili

2015-06-01

Families play an essential role in maintaining children's mental, social, and physical health. The family provides the first and the most important social context for human development. The present study aimed to predict early maladaptive schemas using Baumrind's parenting styles (root development). A total of 357 undergraduate students of Islamic Azad University, Urmia Branch, Iran, were selected through random cluster sampling during 2013 and 2014. The students were assessed using the Schema Questionnaire-Short Form (SQ-SF) and the Baumrind's parenting styles inventories. The result of regression analysis showed that Baumrind's parenting styles are significant predictors of early maladaptive schemas (P parenting style has some features such as showing high levels of warmth or encouraging kids to express their own possibly divergent opinions. The authoritarian parenting style, however, possesses traits such as heartlessness, impassiveness, strictness, and lack of attention to the children's developmental needs, which is not acceptable.

Parenting a Child with Phenylketonuria: An Investigation into the Factors That Contribute to Parental Distress.

Science.gov (United States)

Ambler, Olivia; Medford, Emma; Hare, Dougal J

2018-04-20

Phenylketonuria (PKU) is an inherited metabolic condition that can lead to the onset of intellectual disabilities if not strictly managed through a low-protein diet. Parents are responsible for supervising their child's treatment for PKU, which may impact on their experience of distress. This cross-sectional study aimed to identify the factors that contribute to distress in parents who care for a child with PKU, distinct from parents in the general population. Thirty-eight parents of children and adolescents with PKU and 32 parents in the general population completed the questionnaires measuring parental psychological resilience, child behaviour problems, perceived social support and distress. Parents of children with PKU also completed measures of their child's care dependency and behaviour related to developmental and intellectual disabilities. The findings revealed no statistically significant differences in distress between the groups, but parents of children with PKU reported more child behaviour problems. Multiple regression analysis identified that parental psychological resilience and child anxious behaviour explained 35% of the variance in distress for parents of children with PKU. By comparison, parental psychological resilience and generic child behaviour only accounted for 19% of the variance in distress for parents in the general population. This has implications for developing interventions in clinical settings that aim to reduce parents' distress by enhancing their psychological resilience and supporting them to manage child behaviour difficulties, particularly anxious behaviour. Future research should include larger, more diverse samples and use longitudinal study designs.

Nonlinear regression analysis for evaluating tracer binding parameters using the programmable K1003 desk computer

International Nuclear Information System (INIS)

Sarrach, D.; Strohner, P.

1986-01-01

The Gauss-Newton algorithm has been used to evaluate tracer binding parameters of RIA by nonlinear regression analysis. The calculations were carried out on the K1003 desk computer. Equations for simple binding models and its derivatives are presented. The advantages of nonlinear regression analysis over linear regression are demonstrated

No Parent Left Behind: Strengthening Ties between Educators and African American Parents/Guardians.

Science.gov (United States)

Thompson, Gail L.

2003-01-01

Used regression analyses to identify variables predicting the six most frequently cited problems that concerned African American parents and guardians of children enrolled in urban schools. Data from parent/guardian surveys highlighted six problems: school district racial climate; math problems; suspension; writing problems; reading comprehension…

Regression analysis for the social sciences

CERN Document Server

Gordon, Rachel A

2010-01-01

The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

The Impact of Marital Separation/Divorce on Children: III. Parent-Child Communication and Child Adjustment, and Regression Analysis of Findings from Overall Study.

Science.gov (United States)

Jacobson, Doris S.

1978-01-01

This is the third of a series of reports on the findings from a study directed at further understanding the impact of marital separation/divorce on children during the 12-month period following the parental separation. This paper reports on parent-child communication regarding cognitive preparation of children for the parental separation. (Author)

Multivariate Linear Regression and CART Regression Analysis of TBM Performance at Abu Hamour Phase-I Tunnel

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Jakubowski, J.; Stypulkowski, J. B.; Bernardeau, F. G.

2017-12-01

The first phase of the Abu Hamour drainage and storm tunnel was completed in early 2017. The 9.5 km long, 3.7 m diameter tunnel was excavated with two Earth Pressure Balance (EPB) Tunnel Boring Machines from Herrenknecht. TBM operation processes were monitored and recorded by Data Acquisition and Evaluation System. The authors coupled collected TBM drive data with available information on rock mass properties, cleansed, completed with secondary variables and aggregated by weeks and shifts. Correlations and descriptive statistics charts were examined. Multivariate Linear Regression and CART regression tree models linking TBM penetration rate (PR), penetration per revolution (PPR) and field penetration index (FPI) with TBM operational and geotechnical characteristics were performed for the conditions of the weak/soft rock of Doha. Both regression methods are interpretable and the data were screened with different computational approaches allowing enriched insight. The primary goal of the analysis was to investigate empirical relations between multiple explanatory and responding variables, to search for best subsets of explanatory variables and to evaluate the strength of linear and non-linear relations. For each of the penetration indices, a predictive model coupling both regression methods was built and validated. The resultant models appeared to be stronger than constituent ones and indicated an opportunity for more accurate and robust TBM performance predictions.

Parenting styles and overweight status in first grade.

Science.gov (United States)

Rhee, Kyung E; Lumeng, Julie C; Appugliese, Danielle P; Kaciroti, Niko; Bradley, Robert H

2006-06-01

The goal was to determine the relationship between the 4 parenting styles (authoritative, authoritarian, permissive, and neglectful) and overweight status in first grade. Data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development were analyzed. Children with complete data for parenting parameters at 54 months and measured weight and height in first grade were included in the analysis. Overweight was defined as BMI of > or =95th percentile. The 4 parenting styles were constructed with 2 scales, namely, maternal sensitivity and maternal expectations for child self-control. Multivariate logistic regression analysis was used to evaluate the relationship between parenting style and overweight in first grade, controlling for gender, race, maternal education, income/needs ratio, marital status, and child behavior problems. A total of 872 children, 11.1% overweight and 82.8% white, were included in the analysis. Children of authoritarian mothers (n = 298) had an increased risk of being overweight, compared with children of authoritative mothers (n = 179). Children of permissive (n = 132) and neglectful (n = 263) mothers were twice as likely to be overweight, compared with children of authoritative mothers. Of the covariates, only income/needs ratio was significant and did not alter the relationship between parenting style and overweight risk. Among the 4 parenting styles, authoritarian parenting was associated with the highest risk of overweight among young children. Understanding the mechanisms through which parenting styles are associated with overweight risk may lead to the development of more-comprehensive and better-targeted interventions.

Composite marginal quantile regression analysis for longitudinal adolescent body mass index data.

Science.gov (United States)

Yang, Chi-Chuan; Chen, Yi-Hau; Chang, Hsing-Yi

2017-09-20

Childhood and adolescenthood overweight or obesity, which may be quantified through the body mass index (BMI), is strongly associated with adult obesity and other health problems. Motivated by the child and adolescent behaviors in long-term evolution (CABLE) study, we are interested in individual, family, and school factors associated with marginal quantiles of longitudinal adolescent BMI values. We propose a new method for composite marginal quantile regression analysis for longitudinal outcome data, which performs marginal quantile regressions at multiple quantile levels simultaneously. The proposed method extends the quantile regression coefficient modeling method introduced by Frumento and Bottai (Biometrics 2016; 72:74-84) to longitudinal data accounting suitably for the correlation structure in longitudinal observations. A goodness-of-fit test for the proposed modeling is also developed. Simulation results show that the proposed method can be much more efficient than the analysis without taking correlation into account and the analysis performing separate quantile regressions at different quantile levels. The application to the longitudinal adolescent BMI data from the CABLE study demonstrates the practical utility of our proposal. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Is parenting style a predictor of suicide attempts in a representative sample of adolescents?

Science.gov (United States)

2014-01-01

Background Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents’ suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. Methods In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Results Three parental variables showed a relevant association with suicide attempts in adolescents – (all protective): mother’s warmth and father’s warmth in childhood and mother’s control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p < .001) for suicidal attempts. Seven further variables were interpreted to be

Treating experimental data of inverse kinetic method by unitary linear regression analysis

International Nuclear Information System (INIS)

Zhao Yusen; Chen Xiaoliang

2009-01-01

The theory of treating experimental data of inverse kinetic method by unitary linear regression analysis was described. Not only the reactivity, but also the effective neutron source intensity could be calculated by this method. Computer code was compiled base on the inverse kinetic method and unitary linear regression analysis. The data of zero power facility BFS-1 in Russia were processed and the results were compared. The results show that the reactivity and the effective neutron source intensity can be obtained correctly by treating experimental data of inverse kinetic method using unitary linear regression analysis and the precision of reactivity measurement is improved. The central element efficiency can be calculated by using the reactivity. The result also shows that the effect to reactivity measurement caused by external neutron source should be considered when the reactor power is low and the intensity of external neutron source is strong. (authors)

Regression analysis of informative current status data with the additive hazards model.

Science.gov (United States)

Zhao, Shishun; Hu, Tao; Ma, Ling; Wang, Peijie; Sun, Jianguo

2015-04-01

This paper discusses regression analysis of current status failure time data arising from the additive hazards model in the presence of informative censoring. Many methods have been developed for regression analysis of current status data under various regression models if the censoring is noninformative, and also there exists a large literature on parametric analysis of informative current status data in the context of tumorgenicity experiments. In this paper, a semiparametric maximum likelihood estimation procedure is presented and in the method, the copula model is employed to describe the relationship between the failure time of interest and the censoring time. Furthermore, I-splines are used to approximate the nonparametric functions involved and the asymptotic consistency and normality of the proposed estimators are established. A simulation study is conducted and indicates that the proposed approach works well for practical situations. An illustrative example is also provided.

Parental supply of alcohol and adolescent drinking: a multilevel analysis of nationally representative data.

Science.gov (United States)

Chan, Gary C K; Leung, Janni; Connor, Jason; Hall, Wayne; Kelly, Adrian B

2017-06-09

Existing research on parental supply of alcohol analyses the effects of self-reported parental supply on adolescent drinking using individual level data. This study examined the contextual effect of parental supply of alcohol on adolescent alcohol use by examining the association between the prevalence of parental supply in each Australian state and adolescent alcohol use using a multilevel analytic framework. Adolescent samples (Age: 12-17) were drawn from the four National Drug Strategy Household Surveys (2004, 2007, 2010 and 2013; N = 6803). The prevalence of parental supply of alcohol, defined as the weighted percentage of sample who reported obtaining alcohol from their parents, was estimated in each state and territory across the four surveys. Three multilevel logistic regressions were used to examine the contextual effects of parental supply prevalence on adolescents' alcohol use in the past 12 months, weekly drinking and heavy drinking. Overall, adolescents' rates of past 12 months alcohol use, heavy drinking and weekly drinking between 2004 and 2013 were 40.1, 14.4 and 6.4% respectively. The prevalence of parental supply was significantly associated with past 12 months alcohol use (OR = 1.06, p supply. A high prevalence of parental supply in a region was associated with heavier adolescent drinking, regardless of whether adolescents primarily obtained their alcohol from their own parents.

Credit Scoring Problem Based on Regression Analysis

OpenAIRE

Khassawneh, Bashar Suhil Jad Allah

2014-01-01

ABSTRACT: This thesis provides an explanatory introduction to the regression models of data mining and contains basic definitions of key terms in the linear, multiple and logistic regression models. Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and also to analyze the found model functions by statistical tools. Keywords: Data mining, linear regression, logistic regression....

Can We Identify Parents Who Do Not Verbally Share Concerns for Their Children's Development?

Science.gov (United States)

Eremita, Matthew; Semancik, Eileen; Lerer, Trudy; Dworkin, Paul H

2017-04-01

We aimed to identify characteristics of parents who do not voice developmental concerns when prompted by their children's nurse and/or primary care provider (PCP), despite reporting concerns on parent-completed questionnaires. We reviewed 376 medical records of children seen for a 9-month well-child visit in an urban pediatric clinic between September 2011 and December 2012 for sociodemographic variables hypothesized to affect parents' sharing of developmental concerns: the child's birth order and gender; parents' education level, employment, relationship status, and primary language; and family size and racial/ethnic background. The target population was parents who reported concerns on the Parents' Evaluation of Developmental Status (PEDS), a routinely administered, parent-completed screening questionnaire. We subdivided parents who reported concerns on the PEDS (N = 86) based on whether they voiced developmental concerns when prompted by their children's nurse and/or PCP. Two-sided Fisher's exact tests and logistic regression evaluated the relationship between sociodemographic variables and parents' voicing of developmental concerns. Only parent education approached significance, as parents with less than a high school education (children's development than parents with at least a high school degree or equivalent (≥HS) (63% compared to 35%, p = .056). Univariate logistic regression analysis showed that parents with Parents with low educational attainment may be more likely to not verbally share their developmental concerns. For children of such parents, early detection of developmental delay may be strengthened by use of written questionnaires.

MULGRES: a computer program for stepwise multiple regression analysis

Science.gov (United States)

A. Jeff Martin

1971-01-01

MULGRES is a computer program source deck that is designed for multiple regression analysis employing the technique of stepwise deletion in the search for most significant variables. The features of the program, along with inputs and outputs, are briefly described, with a note on machine compatibility.

Real-time regression analysis with deep convolutional neural networks

OpenAIRE

Huerta, E. A.; George, Daniel; Zhao, Zhizhen; Allen, Gabrielle

2018-01-01

We discuss the development of novel deep learning algorithms to enable real-time regression analysis for time series data. We showcase the application of this new method with a timely case study, and then discuss the applicability of this approach to tackle similar challenges across science domains.

[Comparison of application of Cochran-Armitage trend test and linear regression analysis for rate trend analysis in epidemiology study].

Science.gov (United States)

Wang, D Z; Wang, C; Shen, C F; Zhang, Y; Zhang, H; Song, G D; Xue, X D; Xu, Z L; Zhang, S; Jiang, G H

2017-05-10

We described the time trend of acute myocardial infarction (AMI) from 1999 to 2013 in Tianjin incidence rate with Cochran-Armitage trend (CAT) test and linear regression analysis, and the results were compared. Based on actual population, CAT test had much stronger statistical power than linear regression analysis for both overall incidence trend and age specific incidence trend (Cochran-Armitage trend P valuelinear regression P value). The statistical power of CAT test decreased, while the result of linear regression analysis remained the same when population size was reduced by 100 times and AMI incidence rate remained unchanged. The two statistical methods have their advantages and disadvantages. It is necessary to choose statistical method according the fitting degree of data, or comprehensively analyze the results of two methods.

Community factors to promote parents' quality of child-nurturing life.

Science.gov (United States)

Aoyama, Megumi; Wei, Chang Nian; Chang-nian, Wei; Harada, Koichi; Ueda, Kimiyo; Takano, Miyuki; Ueda, Atsushi

2013-01-01

The purpose of this study was to clarify the role of community factors in parents' quality of child-nurturing life (QCNL). We developed a questionnaire to evaluate the degree of QCNL and determine the structural factors related to QCNL as community factors related to parents' QCNL derived from focus group interviews and the Delphi technique. The questionnaire also included the battery of the self-rating depression scale and Tsumori-Inage Infant's Developmental Test. Using the questionnaire, we then conducted a quantitative survey of parents whose children attended nursery schools in Kumamoto Prefecture. Factor analysis, calculation of the mean score and/or ratio to each item, Pearson's correlation coefficient, t test, multiple regression analysis, and covariance structure analysis were performed. The questionnaire we developed consisted of seven items with 75 elements, involving ten elements as community factors. Subjects included 699 parents (mean age 33.6 ± 5.4 years) and 965 children (age range 0-6 years). Factor analysis revealed that community factors consisted of five factors, such as "lifestyle rooted in the ground," "balance of housekeeping and work," "community network," "amenity," and "regeneration of life". These factors may be dominant in a rural area. Finally, we developed a structural model with "community factors," QCNL, QOL, and "child growth" by covariance structural analysis. The analysis revealed that community factors had a positive relation to parents' QCNL (r = 0.81, p < 0.001) and that parental SDS score had a negative relation to parents' QCNL (r = -0.59, p < 0.001). The analysis did show that community factors were positively related to the sound growth of children. The covariance structure analysis revealed that community factors were associated with parents' QCNL, SDS, and "child growth."

Congruence and Incongruence in Adolescents' and Parents' Perceptions of the Family: Using Response Surface Analysis to Examine Links with Adolescents' Psychological Adjustment.

Science.gov (United States)

Human, Lauren J; Dirks, Melanie A; DeLongis, Anita; Chen, Edith

2016-10-01

Parents and adolescents often hold discrepant views about the family environment and these discrepancies may in turn influence adolescents' psychological adjustment. The current study examined how adolescent-parent perceptions of family routines and chaos, and their congruence and incongruence, relate to adolescents' self-reported psychological adjustment (depressive symptoms and perceived stress), both concurrently (N dyads = 261; 53 % female) and 2 years later (N dyads = 118; 50 % female). Using polynomial regression and response surface analysis, results indicated that adolescents' perceptions of the family environment were a stronger predictor of adolescents' adjustment than parents' perceptions (76 % mothers), concurrently and over time. However, both congruence and incongruence in adolescent-parent perceptions were also related to adolescents' adjustment. Specifically, congruently negative adolescent-parent perceptions were associated with worse concurrent adolescent adjustment. Further, incongruence defined by more negativity in adolescents' versus parents' perceptions was associated with worse adolescent psychological adjustment, concurrently and over time. In sum, in addition to the strong links between adolescents' perceptions of the family and their own psychological adjustment, examining how congruent and incongruent adolescents' perceptions are with parents' perceptions may shed additional light on how the family environment relates to adolescent adjustment.

The evolution of GDP in USA using cyclic regression analysis

OpenAIRE

Catalin Angelo IOAN; Gina IOAN

2013-01-01

Based on the four major types of economic cycles (Kondratieff, Juglar, Kitchin, Kuznet), the paper aims to determine their actual length (for the U.S. economy) using cyclic regressions based on Fourier analysis.

Quantile regression for the statistical analysis of immunological data with many non-detects.

Science.gov (United States)

Eilers, Paul H C; Röder, Esther; Savelkoul, Huub F J; van Wijk, Roy Gerth

2012-07-07

Immunological parameters are hard to measure. A well-known problem is the occurrence of values below the detection limit, the non-detects. Non-detects are a nuisance, because classical statistical analyses, like ANOVA and regression, cannot be applied. The more advanced statistical techniques currently available for the analysis of datasets with non-detects can only be used if a small percentage of the data are non-detects. Quantile regression, a generalization of percentiles to regression models, models the median or higher percentiles and tolerates very high numbers of non-detects. We present a non-technical introduction and illustrate it with an implementation to real data from a clinical trial. We show that by using quantile regression, groups can be compared and that meaningful linear trends can be computed, even if more than half of the data consists of non-detects. Quantile regression is a valuable addition to the statistical methods that can be used for the analysis of immunological datasets with non-detects.

Genome wide study of maternal and parent-of-origin effects on the etiology of orofacial clefts

DEFF Research Database (Denmark)

Shi, Min; Murray, Jeff; Marazita, Mary L

2012-01-01

We performed a genome wide association analysis of maternally-mediated genetic effects and parent-of-origin (POO) effects on risk of orofacial clefting (OC) using over 2,000 case-parent triads collected through an international cleft consortium. We used log-linear regression models to test indivi...... individual SNPs. For SNPs with a P-value...

Optimal choice of basis functions in the linear regression analysis

International Nuclear Information System (INIS)

Khotinskij, A.M.

1988-01-01

Problem of optimal choice of basis functions in the linear regression analysis is investigated. Step algorithm with estimation of its efficiency, which holds true at finite number of measurements, is suggested. Conditions, providing the probability of correct choice close to 1 are formulated. Application of the step algorithm to analysis of decay curves is substantiated. 8 refs

Parents' Reports of Children's Internalizing Symptoms: Associations with Parents' Mental Health Symptoms and Substance Use Disorder.

Science.gov (United States)

Kelley, Michelle L; Bravo, Adrian J; Hamrick, Hannah C; Braitman, Abby L; White, Tyler D; Jenkins, Jennika

2017-06-01

This brief report examined the unique associations between parents' ratings of child internalizing symptoms and their own depression and anxiety in families with parental substance use disorder (SUD). Further, we examined whether parental SUD (father only, mother only, both parents) was related to discrepancy in mothers' and fathers' reports of children's internalizing symptoms. Participants were 97 triads (fathers, mothers) in which one or both parents met criteria for SUD. Polynomial regression analyses were conducted to examine whether father-mother reports of child internalizing symptoms had unique associations with parents' own symptoms of depression and anxiety while controlling for child gender, child age, and SUD diagnoses. Controlling for fathers' symptoms and other covariates, mothers experiencing more depression and anxiety symptoms reported more symptoms of child internalizing symptoms than did fathers. Mothers' and fathers' SUD was associated with higher anxiety symptoms among mothers after controlling for other variables. A second set of polynomial regressions examined whether father-mother reports of child internalizing symptoms had unique associations with parents' SUD diagnoses while controlling for child gender and child age. After controlling for mothers' symptoms and other covariates, parents' reports of children's internalizing symptoms were not significantly associated with either parent's SUD or parental SUD interactions (i.e., both parents have SUD diagnoses). Taken together, mothers' ratings of children's internalizing symptoms may be accounted for, in part, by her reports of depression and anxiety symptoms.

The association between parent-reported provider communication quality and child obesity status: Variation by parent obesity and child race/ethnicity.

Science.gov (United States)

Wong, Michelle S; Showell, Nakiya N; Bleich, Sara N; Gudzune, Kimberly A; Chan, Kitty S

2017-08-01

To examine the association between healthcare provider communication quality and child obesity status, and the role of parent obesity and child race/ethnicity regarding this association. We conducted a cross-sectional secondary data analysis with the 2011-2013 Medical Expenditures Panel Survey of parents with children ages 6-12 (n=5390). We used multivariable logistic regression to examine the association of parent-reported healthcare provider communication quality (explaining well, listening carefully, showing respect, and spending enough time) with child obesity status, and effect modification by parent obesity and child race/ethnicity. Parents of obese children were more likely to report that their child's healthcare provider listened carefully (OR=1.41, p=0.002) and spent enough time (OR=1.33, p=0.022) than parents of non-obese children. Non-obese parents of obese children experienced better communication in the domains of listening carefully (pobese non-Hispanic Asian children and non-Hispanic Black children were more likely to report that providers explained things well (p=0.043) and listened carefully (p=0.012), respectively. Parents of obese children experienced better communication if parents were non-obese or children were non-Hispanic Black or Asian. Healthcare providers should ensure effective communication with obese parents of obese children. Copyright © 2017 Elsevier B.V. All rights reserved.

The Role of Parenting Styles in Predicting Anxiety Thoughts and Obsessive Compulsive Symptoms in Adolescents

Directory of Open Access Journals (Sweden)

Z Khanjani

2012-04-01

Full Text Available Introduction: Parents interaction styles with children or teens have an important impact on shaping their character and mental health and the incidence of some psychiatric symptoms. The aim of this study was to predict anxiety thought and obsessive - compulsive symptoms of the adolescents based on parents' parenting styles. Methods: This was a descriptive study. 180 male students in Marand were selected by cluster random sampling. We used Baumrind parents parenting style questionnaire, Wales anxiety thoughts questionnaire and Maudsley obsessive- compulsive questionnaire. Data was analyzed by Pearson's correlation test and multiple regression analysis. Results: Data analysis showed that obsessive- compulsive symptoms and anxiety ideas were positively related to the authoritarian and permissive parenting styles and negatively related to authoritative parenting style. Parenting style is able to predict the level of obsessive - compulsive symptoms and adolescent anxiety ideas. Conclusion: The results showed that parents' parenting style is one of the influencing factors on adolescent health. Parents with authoritative parenting style, have the children with lower obsessive - compulsive symptoms and anxious thoughts.

What Do Parents Want?: An Analysis of Education-Related Comments Made by Parents of Children with Different Genetic Syndromes.

Science.gov (United States)

Fidler, Deborah J.; Lawson, John E.; Hodapp, Robert M.

2003-01-01

An analysis of educational desires found parents of children with Down syndrome (n=39) wanted changes in speech therapy and reading services, parents of children with Prader-Willi syndrome (n=25) wanted increases in adaptive physical education services, and parents of children with Williams syndrome (n=26) wanted increases in music services and…

Regression analysis for the social sciences

CERN Document Server

Gordon, Rachel A

2015-01-01

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

Conceptualizing physical activity parenting practices using expert informed concept mapping analysis

Directory of Open Access Journals (Sweden)

Louise C. Mâsse

2017-06-01

Full Text Available Abstract Background Parents are widely recognized as playing a central role in the development of child behaviors such as physical activity. As there is little agreement as to the dimensions of physical activity-related parenting practices that should be measured or how they should be operationalized, this study engaged experts to develop an integrated conceptual framework for assessing parenting practices that influence multiple aspects of 5 to 12 year old children’s participation in physical activity. The ultimate goal of this study is to inform the development of an item bank (repository of calibrated items aimed at measuring physical activity parenting practices. Methods Twenty four experts from 6 countries (Australia, Canada, England, Scotland, the Netherlands, & United States (US sorted 77 physical activity parenting practice concepts identified from our previously published synthesis of the literature (74 measures and survey of Canadian and US parents. Concept Mapping software was used to conduct the multi-dimensional scaling (MDS analysis and a cluster analysis of the MDS solution of the Expert’s sorting which was qualitatively reviewed and commented on by the Experts. Results The conceptual framework includes 12 constructs which are presented using three main domains of parenting practices (neglect/control, autonomy support, and structure. The neglect/control domain includes two constructs: permissive and pressuring parenting practices. The autonomy supportive domain includes four constructs: encouragement, guided choice, involvement in child physical activities, and praises/rewards for their child’s physical activity. Finally, the structure domain includes six constructs: co-participation, expectations, facilitation, modeling, monitoring, and restricting physical activity for safety or academic concerns. Conclusion The concept mapping analysis provided a useful process to engage experts in re-conceptualizing physical activity

Conceptualizing physical activity parenting practices using expert informed concept mapping analysis.

Science.gov (United States)

Mâsse, Louise C; O'Connor, Teresia M; Tu, Andrew W; Hughes, Sheryl O; Beauchamp, Mark R; Baranowski, Tom

2017-06-14

Parents are widely recognized as playing a central role in the development of child behaviors such as physical activity. As there is little agreement as to the dimensions of physical activity-related parenting practices that should be measured or how they should be operationalized, this study engaged experts to develop an integrated conceptual framework for assessing parenting practices that influence multiple aspects of 5 to 12 year old children's participation in physical activity. The ultimate goal of this study is to inform the development of an item bank (repository of calibrated items) aimed at measuring physical activity parenting practices. Twenty four experts from 6 countries (Australia, Canada, England, Scotland, the Netherlands, & United States (US)) sorted 77 physical activity parenting practice concepts identified from our previously published synthesis of the literature (74 measures) and survey of Canadian and US parents. Concept Mapping software was used to conduct the multi-dimensional scaling (MDS) analysis and a cluster analysis of the MDS solution of the Expert's sorting which was qualitatively reviewed and commented on by the Experts. The conceptual framework includes 12 constructs which are presented using three main domains of parenting practices (neglect/control, autonomy support, and structure). The neglect/control domain includes two constructs: permissive and pressuring parenting practices. The autonomy supportive domain includes four constructs: encouragement, guided choice, involvement in child physical activities, and praises/rewards for their child's physical activity. Finally, the structure domain includes six constructs: co-participation, expectations, facilitation, modeling, monitoring, and restricting physical activity for safety or academic concerns. The concept mapping analysis provided a useful process to engage experts in re-conceptualizing physical activity parenting practices and identified key constructs to include in

Anxiety, depression, and perception of early parenting: A meta-analysis.

NARCIS (Netherlands)

Gerlsma, C.; Emmelkamp, P.M.G.; Arrindell, W.A.

1990-01-01

Reviewed the literature on perceived parental rearing practices in depressed and anxious patients by meta-analysis. The psychometric and validational properties of questionnaires measuring perceptions of parental rearing styles were investigated, and only studies using satisfactory measures were

Care burden and its predictive factors in parents of newly diagnosed children with acute lymphoblastic leukemia in academic hospitals in China.

Science.gov (United States)

Wang, Jingting; Shen, Nanping; Zhang, Xiaoyan; Shen, Min; Xie, Anwei; Howell, Doris; Yuan, Changrong

2017-12-01

Caring for children with acute lymphoblastic leukemia (ALL) is a distressing experience for parents without medical training. The experience can lead to parents' care burden. This study explored care burden among parents of children with ALL and its related factors. A total of 130 parents were surveyed with the Zarit Burden Inventory (ZBI), Perceived Social Support Scale (PSSS), Zung's Self-rating Anxiety Scale (SAS), Zung's Self-rating Depression Scale (SDS), Medical Outcome Study Short Form 36 (SF-36), and a study specific demographic information questionnaire. Independent-samples T test, one-way ANOVA, Pearson correlation analysis and multivariate linear regression analysis (stepwise method), and binomial logistic regression were used in data analysis. The mean score of parents' care burden overall was 37.74 ± 16.57, 17 (13.08%) had little or no burden, 57 (43.85%) had mild-to-moderate burden, 44 (33.84%) had moderate-to-severe burden, and 12 (9.23%) had severe burden. Regression analyses indicated daily care time, anxiety, general health, average monthly family income, social support, and number of co-caregivers were factors associated with care burden. These variables accounted for 51% of the variance in care burden. Other demographic information of parents and children, depression, and other dimensions of SF-36 were not related to care burden. The severe burden level was associated the increase risk of emotional distress compared with little or no burden group (OR = 37.500, 95% CI = 4.515-311.348, P = 0.001). The results indicated that care burden in parents of children newly diagnosed with ALL is high. Parents with lower levels of care burden tend to have less daily care time, more co-caregivers, higher income, less anxiety, better general health, and social support. Strategies are needed to help reduce parents' care burden.

Is frequency of family meals associated with fruit and vegetable intake among preschoolers? A logistic regression analysis.

Science.gov (United States)

Caldwell, A R; Terhorst, L; Skidmore, E R; Bendixen, R M

2018-01-23

The present study aimed to examine the associations between frequency of family meals and low fruit and vegetable intake in preschool children. Promoting healthy nutrition early in life is recommended for combating childhood obesity. Frequency of family meals is associated with fruit and vegetable intake in school-age children and adolescents; the relationship in young children is less clear. We completed a secondary analysis using data from the Early Childhood Longitudinal Study-Birth Cohort. Participants included children, born in the year 2001, to mothers who were >15 years old (n = 8 950). Data were extracted from structured parent interviews during the year prior to kindergarten. We used hierarchical logistic regression to describe the relationships between frequency of family meals and low fruit and vegetable intake. Frequency of family meals was associated with low fruit and vegetable intake. The odds of low fruit and vegetable intake were greater for preschoolers who shared less than three evening family meals per week (odds ratio = 1.5, β = 0.376, P meal with family every night. Fruit and vegetable intake is related to frequency of family meals in preschool-age children. Educating parents about the potential benefits of frequent shared meals may lead to a higher fruit and vegetable consumption among preschoolers. Future studies should address other factors that likely contribute to eating patterns during the preschool years. © 2018 The British Dietetic Association Ltd.

A method for nonlinear exponential regression analysis

Science.gov (United States)

Junkin, B. G.

1971-01-01

A computer-oriented technique is presented for performing a nonlinear exponential regression analysis on decay-type experimental data. The technique involves the least squares procedure wherein the nonlinear problem is linearized by expansion in a Taylor series. A linear curve fitting procedure for determining the initial nominal estimates for the unknown exponential model parameters is included as an integral part of the technique. A correction matrix was derived and then applied to the nominal estimate to produce an improved set of model parameters. The solution cycle is repeated until some predetermined criterion is satisfied.

Analysis of Functional Data with Focus on Multinomial Regression and Multilevel Data

DEFF Research Database (Denmark)

Mousavi, Seyed Nourollah

Functional data analysis (FDA) is a fast growing area in statistical research with increasingly diverse range of application from economics, medicine, agriculture, chemometrics, etc. Functional regression is an area of FDA which has received the most attention both in aspects of application...... and methodological development. Our main Functional data analysis (FDA) is a fast growing area in statistical research with increasingly diverse range of application from economics, medicine, agriculture, chemometrics, etc. Functional regression is an area of FDA which has received the most attention both in aspects...

Parents' experiences of being in the Solihull Approach parenting group, 'Understanding Your Child's Behaviour': an interpretative phenomenological analysis.

Science.gov (United States)

Vella, L R; Butterworth, R E; Johnson, R; Law, G Urquhart

2015-11-01

Empirical evidence suggests that the Solihull Approach parenting group, 'Understanding Your Child's Behaviour' (UYCB), can improve child behaviour and parental well-being. However, little is known about parents' in-depth experience of participating in the UYCB programme. This study provides an in-depth qualitative evaluation of UYCB, focussing on possible moderating factors and mechanisms of change that may inform programme development. Ten parents (eight mothers and two fathers), recruited from seven UYCB groups across two locations, were interviewed within 7 weeks of completing the group and again 10 months later. Data were analysed using interpretative phenomenological analysis. Four themes were identified: 'Two Tiers of Satisfaction', 'Development as a Parent', 'Improved Self-belief' and 'The "Matthew Effect"'. In summary, the majority of parents were immensely satisfied at both completion and follow-up: they valued an experience of containment and social support and perceived improvement in specific child difficulties, their experience of parenting, their confidence and their coping. Most parents appeared to have developed more reflective and empathic parenting styles, with self-reported improved behaviour management. Theoretical material was well received, although some struggled with technical language. Positive outcomes appeared to be maintained, even reinforced, at follow-up, and were associated with having few initial child difficulties, perceiving improvement at completion and persevering with the recommendations. Two participants, whose children had the most severe difficulties, perceived deterioration and felt that the group was insufficient for their level of difficulties. Through in-depth analysis of parental experiences, UYCB appears to achieve its aims and communicate well its theoretical principles, although change may also occur through processes common to other group programmes (e.g. social support). Recommendations, stemming from the

Regression analysis of a chemical reaction fouling model

International Nuclear Information System (INIS)

Vasak, F.; Epstein, N.

1996-01-01

A previously reported mathematical model for the initial chemical reaction fouling of a heated tube is critically examined in the light of the experimental data for which it was developed. A regression analysis of the model with respect to that data shows that the reference point upon which the two adjustable parameters of the model were originally based was well chosen, albeit fortuitously. (author). 3 refs., 2 tabs., 2 figs

[A SAS marco program for batch processing of univariate Cox regression analysis for great database].

Science.gov (United States)

Yang, Rendong; Xiong, Jie; Peng, Yangqin; Peng, Xiaoning; Zeng, Xiaomin

2015-02-01

To realize batch processing of univariate Cox regression analysis for great database by SAS marco program. We wrote a SAS macro program, which can filter, integrate, and export P values to Excel by SAS9.2. The program was used for screening survival correlated RNA molecules of ovarian cancer. A SAS marco program could finish the batch processing of univariate Cox regression analysis, the selection and export of the results. The SAS macro program has potential applications in reducing the workload of statistical analysis and providing a basis for batch processing of univariate Cox regression analysis.

Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments

NARCIS (Netherlands)

Kleijnen, J.P.C.

1995-01-01

This tutorial discusses what-if analysis and optimization of System Dynamics models. These problems are solved, using the statistical techniques of regression analysis and design of experiments (DOE). These issues are illustrated by applying the statistical techniques to a System Dynamics model for

A Meta-Analysis of Attachment to Parents and Delinquency

Science.gov (United States)

Hoeve, Machteld; Stams, Geert Jan J. M.; van der Put, Claudia E.; Dubas, Judith Semon; van der Laan, Peter H.; Gerris, Jan R. M.

2012-01-01

To investigate the link between attachment to parents and delinquency, and the potential moderating effects of age and sex, 74 published and unpublished manuscripts (N = 55,537 participants) were subjected to a multilevel meta-analysis. A mean small to moderate effect size was found (r = 0.18). Poor attachment to parents was significantly linked…

Parental romantic expectations and parent-child sexuality communication in autism spectrum disorders.

Science.gov (United States)

Holmes, Laura G; Himle, Michael B; Strassberg, Donald S

2016-08-01

This study examined the relationship between core symptoms of autism spectrum disorder, parental romantic expectations, and parental provision of sexuality and relationship education in an online sample of 190 parents of youth 12-18 years of age with a parent-reported diagnosis of autism spectrum disorder. Regression analyses were conducted separately for youth with autism spectrum disorder + parent-reported average or above IQ and youth with autism spectrum disorder + parent-reported below average IQ. For youth with autism spectrum disorder + parent-reported average or above IQ, autism spectrum disorder severity predicted parental romantic expectations, but not parental provision of sexuality and relationship education. For youth with autism spectrum disorder + parent-reported below average IQ, parental romantic expectations mediated the relationship between autism spectrum disorder severity and parent provision of sexuality and relationship education. This supports the importance of carefully considering intellectual functioning in autism spectrum disorder sexuality research and suggests that acknowledging and addressing parent expectations may be important for parent-focused sexuality and relationship education interventions. © The Author(s) 2015.

Alternative regression models to assess increase in childhood BMI.

Science.gov (United States)

Beyerlein, Andreas; Fahrmeir, Ludwig; Mansmann, Ulrich; Toschke, André M

2008-09-08

Body mass index (BMI) data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations. Different regression approaches to predict childhood BMI by goodness-of-fit measures and means of interpretation were compared including generalized linear models (GLMs), quantile regression and Generalized Additive Models for Location, Scale and Shape (GAMLSS). We analyzed data of 4967 children participating in the school entry health examination in Bavaria, Germany, from 2001 to 2002. TV watching, meal frequency, breastfeeding, smoking in pregnancy, maternal obesity, parental social class and weight gain in the first 2 years of life were considered as risk factors for obesity. GAMLSS showed a much better fit regarding the estimation of risk factors effects on transformed and untransformed BMI data than common GLMs with respect to the generalized Akaike information criterion. In comparison with GAMLSS, quantile regression allowed for additional interpretation of prespecified distribution quantiles, such as quantiles referring to overweight or obesity. The variables TV watching, maternal BMI and weight gain in the first 2 years were directly, and meal frequency was inversely significantly associated with body composition in any model type examined. In contrast, smoking in pregnancy was not directly, and breastfeeding and parental social class were not inversely significantly associated with body composition in GLM models, but in GAMLSS and partly in quantile regression models. Risk factor specific BMI percentile curves could be estimated from GAMLSS and quantile regression models. GAMLSS and quantile regression seem to be more appropriate than common GLMs for risk factor modeling of BMI data.

Application of multilinear regression analysis in modeling of soil ...

African Journals Online (AJOL)

The application of Multi-Linear Regression Analysis (MLRA) model for predicting soil properties in Calabar South offers a technical guide and solution in foundation designs problems in the area. Forty-five soil samples were collected from fifteen different boreholes at a different depth and 270 tests were carried out for CBR, ...

Boosted beta regression.

Directory of Open Access Journals (Sweden)

Matthias Schmid

Full Text Available Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale. In this paper, we consider beta regression, which is a generalization of logit models to situations where the response is continuous on the interval (0,1. Consequently, beta regression is a convenient tool for analyzing percentage responses. The classical approach to fit a beta regression model is to use maximum likelihood estimation with subsequent AIC-based variable selection. As an alternative to this established - yet unstable - approach, we propose a new estimation technique called boosted beta regression. With boosted beta regression estimation and variable selection can be carried out simultaneously in a highly efficient way. Additionally, both the mean and the variance of a percentage response can be modeled using flexible nonlinear covariate effects. As a consequence, the new method accounts for common problems such as overdispersion and non-binomial variance structures.

Parental employment status and adolescents' health: the role of financial situation, parent-adolescent relationship and adolescents' resilience.

Science.gov (United States)

Bacikova-Sleskova, Maria; Benka, Jozef; Orosova, Olga

2015-01-01

The paper deals with parental employment status and its relationship to adolescents' self-reported health. It studies the role of the financial situation, parent-adolescent relationship and adolescent resilience in the relationship between parental employment status and adolescents' self-rated health, vitality and mental health. Multiple regression analyses were used to analyse questionnaire data obtained from 2799 adolescents (mean age 14.3) in 2006. The results show a negative association of the father's, but not mother's unemployment or non-employment with adolescents' health. Regression analyses showed that neither financial strain nor a poor parent-adolescent relationship or a low score in resilience accounted for the relationship between the father's unemployment or non-employment and poorer adolescent health. Furthermore, resilience did not work as a buffer against the negative impact of fathers' unemployment on adolescents' health.

Effects of Parenting Programs on Child Maltreatment Prevention: A Meta-Analysis.

Science.gov (United States)

Chen, Mengtong; Chan, Ko Ling

2016-01-01

The objective of this study is to evaluate the effectiveness of parenting programs in reducing child maltreatment and modifying associated factors as well as to examine the moderator variables that are linked to program effects. For this meta-analysis, we searched nine electronic databases to identify randomized controlled trials published before September 2013. The effect sizes of various outcomes at different time points were computed. From the 3,578 studies identified, we selected 37 studies for further analysis. The total random effect size was 0.296. Our results showed that parenting programs successfully reduced substantiated and self-reported child maltreatment reports and reduced the potential for child maltreatment. The programs also reduced risk factors and enhanced protective factors associated with child maltreatment. However, the effects of the parenting programs on reducing parental depression and stress were limited. Parenting programs produced positive effects in low-, middle-, and high-income countries and were effective in reducing child maltreatment when applied as primary, secondary, or tertiary child maltreatment intervention. In conclusion, parenting programs are effective public health approaches to reduce child maltreatment. The evidence-based service of parenting programs could be widely adopted in future practice. © The Author(s) 2015.

Bias due to two-stage residual-outcome regression analysis in genetic association studies.

Science.gov (United States)

Demissie, Serkalem; Cupples, L Adrienne

2011-11-01

Association studies of risk factors and complex diseases require careful assessment of potential confounding factors. Two-stage regression analysis, sometimes referred to as residual- or adjusted-outcome analysis, has been increasingly used in association studies of single nucleotide polymorphisms (SNPs) and quantitative traits. In this analysis, first, a residual-outcome is calculated from a regression of the outcome variable on covariates and then the relationship between the adjusted-outcome and the SNP is evaluated by a simple linear regression of the adjusted-outcome on the SNP. In this article, we examine the performance of this two-stage analysis as compared with multiple linear regression (MLR) analysis. Our findings show that when a SNP and a covariate are correlated, the two-stage approach results in biased genotypic effect and loss of power. Bias is always toward the null and increases with the squared-correlation between the SNP and the covariate (). For example, for , 0.1, and 0.5, two-stage analysis results in, respectively, 0, 10, and 50% attenuation in the SNP effect. As expected, MLR was always unbiased. Since individual SNPs often show little or no correlation with covariates, a two-stage analysis is expected to perform as well as MLR in many genetic studies; however, it produces considerably different results from MLR and may lead to incorrect conclusions when independent variables are highly correlated. While a useful alternative to MLR under , the two -stage approach has serious limitations. Its use as a simple substitute for MLR should be avoided. © 2011 Wiley Periodicals, Inc.

Executive functions and cognitive deficits in schizophrenia: Comparisons between probands, parents and controls in India

Directory of Open Access Journals (Sweden)

Bhatia T

2009-01-01

Full Text Available Background: Cognitive impairment is said to be a core feature of schizophrenia. Executive function is an important cognitive domain. Aim: This study was undertaken to assess cognitive impairment among Indian patients with schizophrenia (Sz or schizoaffective disorder (SzA, compared with their parents and unaffected individuals (controls. Settings and Design: Executive functions as measured by Trail-making Test (TMT, of patients and their parents were compared with controls. The patients were recruited from the Outpatients′ Department (OPD of a government hospital. Materials and Methods: Patients diagnosed as Sz or SzA (n=172 and their parents (n=196: families n=132, 119 fathers and 77 mothers participated. We also included 120 persons with no history of psychiatric illness. Cognitive function was assessed with the TMT. The Information Score of the Post Graduate Institute Battery of Brain Dysfunction test, developed in India for Indian subjects was used as a proxy for general fixed knowledge. Statistical Analysis: Logistic and linear regression was used to compare cognitive deficits of cases, parents and controls. Results: Cases and their parents took significantly more time than controls on Part B of the TMT. There were no statistically significant differences between cases and parents on any of the TMT parameters. Using regression analysis, the most significant correlates of all TMT parameters among cases were with occurrence of auditory hallucinations and current age. Conclusion: Cases, as well as their parents showed more cognitive impairment than controls on the TMT.

Effects of media messages on parent-child sexual communication.

Science.gov (United States)

Evans, W Douglas; Davis, Kevin C; Silber Ashley, Olivia; Khan, Munziba

2012-01-01

Parent-child communication about sex is an important reproductive health outcome. Consistent, positive perceptions of communication by parents and children can promote behavioral outcomes such as delaying sexual debut and increasing contraceptive use. The authors investigated whether exposure to messages from the Parents Speak Up National Campaign (PSUNC), a social marketing campaign to promote increased parent-child sexual communication, led to increased children's self-reports of communication. Also, the authors examined whether PSUNC message exposure increased agreement about communication between parents and their children. In a randomized experimental design, the authors surveyed children of parents exposed and not exposed to PSUNC messages. Parents and children completed online instruments asking matched questions about sexual attitudes, beliefs, and communication. The authors matched 394 parents and children for analysis. They used ordinal logistic regression modeling and kappa statistics. Children of parents exposed to PSUNC messages were more likely to (a) report sexual communication than were those not exposed and (b) agree with their parents about extent and content. Parent-child pairs of the same gender, younger pairs, and non-White pairs were more likely to agree. Overall, PSUNC message exposure appears to have promoted more extensive sexual communication. Future research should examine behavioral mechanisms and message receptivity among subgroups of parents and children.

Parenting stress in mothers of children with an intellectual disability: the effects of parental cognitions in relation to child characteristics and family support.

Science.gov (United States)

Hassall, R; Rose, J; McDonald, J

2005-06-01

Recent theories of stress and coping in parents of children with intellectual disabilities (ID) emphasize the importance of cognitive appraisals in influencing parents' levels of stress and their adaptations to difficulties presented by the children. This study investigated the relationships between parental cognitions, child characteristics, family support and parenting stress. The aspects of cognitions studied were: parenting self-esteem (including efficacy and satisfaction) and parental locus of control. The group studied consisted of 46 mothers of children with ID. The Vineland Adaptive Behavior Scales and Maladaptive Behavior Domain were administered by interview. Mothers also completed four questionnaires: the Family Support Scale, the Parenting Sense of Competence Scale, a shortened form of the Parental Locus of Control Scale and the Parenting Stress Index (Short Form). Data were analysed using Pearson's correlation coefficients, partial correlations and a regression analysis. The results indicated that most of the variance in parenting stress was explained by parental locus of control, parenting satisfaction and child behaviour difficulties. Whilst there was also a strong correlation between family support and parenting stress, this was mediated by parental locus of control. The results demonstrate the potential importance of parental cognitions in influencing parental stress levels. It is argued that these results have implications for clinical interventions for promoting parents' coping strategies in managing children with ID and behavioural difficulties.

Parenting Style and Generativity Measured in College Students and Their Parents

Directory of Open Access Journals (Sweden)

Denise D. Guastello

2014-01-01

Full Text Available The logical consistency between generativity and the authoritative parenting style led to the hypothesis that the two behavior patterns or orientations were related. Survey measurements of perceived parenting style (authoritarian, authoritative, and permissive and generativity in 559 university students and their respective parents were compared. The authoritative parenting style correlated positively with generativity for both students and parents. Both students and mothers scored significantly higher on generativity than fathers, but no significant difference was found between students’ and mothers’ generativity. Hierarchical regression showed that students’ generativity was proximally related to their perceptions of their mothers’ authoritative parenting style, their mothers’ reports of parenting style, and their mothers’ generativity. Father’s generativity or parenting style did not make any additional contributions. The pattern of results suggested that generativity is a learned orientation and more often from mothers than from fathers. The role of maturation might not be as strong as developmental theory would suggest. Several avenues of future research were outlined.

Cognitive Development of Toddlers: Does Parental Stimulation Matter?

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Malhi, Prahbhjot; Menon, Jagadeesh; Bharti, Bhavneet; Sidhu, Manjit

2018-02-01

To examine the impact of quality of early stimulation on cognitive functioning of toddlers living in a developing country. The developmental functioning of 150 toddlers in the age range of 12-30 mo (53% boys; Mean = 1.76 y, SD = 0.48) was assessed by the mental developmental index of the Developmental Assessment Scale for Indian Infants (DASII). The StimQ questionnaire- toddler version was used to measure cognitive stimulation at home. The questionnaire consists of four subscales including availability of learning materials (ALM), reading activities (READ), parent involvement in developmental activities (PIDA), and parent verbal responsivity (PVR). Multivariate regression analysis was used to predict cognitive scores using demographic (age of child), socio-economic status (SES) (income, parental education), and home environment (subscale scores of StimQ) as independent variables. Mean Mental Development Index (MDI) score was 91.5 (SD = 13.41), nearly one-fifth (17.3%) of the toddlers had MDI scores less than 80 (cognitive delay). Children with cognitive delay, relative to typically developing (TD, MDI score ≥ 80) cohort of toddlers, had significantly lower scores on all the subscales of StimQ and the total StimQ score. Despite the overall paucity of learning materials available to toddlers, typical developing toddlers were significantly more likely to have access to symbolic toys (P = 0.004), art materials (P = 0.032), adaptive/fine motor toys (P = 0.018), and life size toys (P = 0.036). Multivariate regression analysis results indicated that controlling for confounding socio-economic status variables, higher parental involvement in developmental activities (PIDA score) and higher parental verbal responsivity (PVR score) emerged as significant predictors of higher MDI scores and explained 34% of variance in MDI scores (F = 23.66, P = 0.001). Disparities in child development emerge fairly early and these differences are not

An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy

DEFF Research Database (Denmark)

Merlo, Juan; Wagner, Philippe; Ghith, Nermin

2016-01-01

BACKGROUND AND AIM: Many multilevel logistic regression analyses of "neighbourhood and health" focus on interpreting measures of associations (e.g., odds ratio, OR). In contrast, multilevel analysis of variance is rarely considered. We propose an original stepwise analytical approach that disting...

Reasons for non-participation in a parental program concerning underage drinking: a mixed-method study

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Eriksson Charli

2009-12-01

Full Text Available Abstract Background Alcohol consumption among adolescents is a serious public health concern. Research has shown that prevention programs targeting parents can help prevent underage drinking. The problem is that parental participation in these kinds of interventions is generally low. Therefore, the aim of the present study is to examine non-participation in a parental support program aiming to prevent underage alcohol drinking. The Health Belief Model has been used as a tool for the analysis. Methods To understand non-participation in a parental program a quasi-experimental mixed-method design was used. The participants in the study were invited to participate in a parental program targeting parents with children in school years 7-9. A questionnaire was sent home to the parents before the program started. Two follow-up surveys were also carried out. The inclusion criteria for the study were that the parents had answered the questionnaire in school year 7 and either of the questionnaires in the two subsequent school years (n = 455. Multinomial logistic regression analysis was used to examine reasons for non-participation. The final follow-up questionnaire included an opened-ended question about reasons for non-participation. A qualitative content analysis was carried out and the two largest categories were included in the third model of the multinomial logistic regression analysis. Results Educational level was the most important socio-demographic factor for predicting non-participation. Parents with a lower level of education were less likely to participate than those who were more educated. Factors associated with adolescents and alcohol did not seem to be of significant importance. Instead, program-related factors predicted non-participation, e.g. parents who did not perceive any need for the intervention and who did not attend the information meeting were more likely to be non-participants. Practical issues, like time demands, also seemed to

Advanced statistics: linear regression, part I: simple linear regression.

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Marill, Keith A

2004-01-01

Simple linear regression is a mathematical technique used to model the relationship between a single independent predictor variable and a single dependent outcome variable. In this, the first of a two-part series exploring concepts in linear regression analysis, the four fundamental assumptions and the mechanics of simple linear regression are reviewed. The most common technique used to derive the regression line, the method of least squares, is described. The reader will be acquainted with other important concepts in simple linear regression, including: variable transformations, dummy variables, relationship to inference testing, and leverage. Simplified clinical examples with small datasets and graphic models are used to illustrate the points. This will provide a foundation for the second article in this series: a discussion of multiple linear regression, in which there are multiple predictor variables.

Parent Management of Organization, Time Management, and Planning Deficits among Adolescents with ADHD.

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Sibley, Margaret H; Campez, Mileini; Perez, Analay; Morrow, Anne S; Merrill, Brittany M; Altszuler, Amy R; Coxe, Stefany; Yequez, Carlos E

2016-06-01

Organization, Time Management, and Planning (OTP) problems are a key mechanism of academic failure for adolescents with ADHD. Parents may be well positioned to promote remediation of these deficits; yet, almost nothing is known about OTP management behaviors among parents of middle and high school students with ADHD. In a sample of 299 well-diagnosed adolescents with ADHD, a measure of parental OTP management was psychometrically validated. Latent Class Analysis was conducted to detect distinct patterns of parental OTP management and yielded four unique classes: Parental Control (18.7 %), Parent-Teen Collaboration (20.4 %), Homework Assistance (20.4 %), and Uninvolved (40.5 %). Logistic Regression analyses indicated that maladaptive parental OTP strategies were related to higher levels of parent and adolescent psychopathology. Parental OTP management did not relate to current adolescent OTP skills or GPA, indicating that parents did not select OTP management strategies in immediate response to adolescent functioning. Implications for parent-directed intervention are discussed.

Ordinary least square regression, orthogonal regression, geometric mean regression and their applications in aerosol science

International Nuclear Information System (INIS)

Leng Ling; Zhang Tianyi; Kleinman, Lawrence; Zhu Wei

2007-01-01

Regression analysis, especially the ordinary least squares method which assumes that errors are confined to the dependent variable, has seen a fair share of its applications in aerosol science. The ordinary least squares approach, however, could be problematic due to the fact that atmospheric data often does not lend itself to calling one variable independent and the other dependent. Errors often exist for both measurements. In this work, we examine two regression approaches available to accommodate this situation. They are orthogonal regression and geometric mean regression. Comparisons are made theoretically as well as numerically through an aerosol study examining whether the ratio of organic aerosol to CO would change with age

Well-Child Care Redesign: A Mixed Methods Analysis of Parent Experiences in the PARENT Trial.

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Mimila, Naomi A; Chung, Paul J; Elliott, Marc N; Bethell, Christina D; Chacon, Sandra; Biely, Christopher; Contreras, Sandra; Chavis, Toni; Bruno, Yovana; Moss, Tanesha; Coker, Tumaini R

Parent-focused Redesign for Encounters, Newborns to Toddlers (PARENT), is a well-child care (WCC) model that has demonstrated effectiveness in improving the receipt of comprehensive WCC services and reducing emergency department utilization for children aged 0 to 3 in low-income communities. PARENT relies on a health educator ("parent coach") to provide WCC services; it utilizes a Web-based previsit prioritization/screening tool (Well-Visit Planner) and an automated text message reminder/education service. We sought to assess intervention feasibility and acceptability among PARENT trial intervention participants. Intervention parents completed a survey after a 12-month study period; a 26% random sample of them were invited to participate in a qualitative interview. Interviews were recorded, transcribed, and analyzed using the constant comparative method of qualitative analysis; survey responses were analyzed using bivariate methods. A total of 115 intervention participants completed the 12-month survey; 30 completed a qualitative interview. Nearly all intervention participants reported meeting with the coach, found her helpful, and would recommend continuing coach-led well visits (97-99%). Parents built trusting relationships with the coach and viewed her as a distinct and important part of their WCC team. They reported that PARENT well visits more efficiently used in-clinic time and were comprehensive and family centered. Most used the Well-Visit Planner (87%), and found it easy to use (94%); a minority completed it at home before the visit (18%). Sixty-two percent reported using the text message service; most reported it as a helpful source of new information and a reinforcement of information discussed during visits. A parent coach-led intervention for WCC for young children is a model of WCC delivery that is both acceptable and feasible to parents in a low-income urban population. Copyright © 2017 Academic Pediatric Association. Published by Elsevier Inc. All

Parental divorce, parental depression, and gender differences in adult offspring suicide attempt.

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Lizardi, Dana; Thompson, Ronald G; Keyes, Katherine; Hasin, Deborah

2009-12-01

Research suggests parental divorce during childhood increases risk of suicide attempt for male but not female offspring. The negative impact on offspring associated with parental divorce may be better explained by parental psychopathology, such as depression. We examined whether adult offspring of parental divorce experience elevated risk of suicide attempt, controlling for parental history of depression, and whether the risk varies by the gender of the offspring. Using the 2001 to 2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), the sample consists of respondents who experienced parental divorce (N = 4895). Multivariable regressions controlled for age, race/ethnicity, income, marital status, and parental history of depression. Females living with their fathers were significantly more likely to report lifetime suicide attempts than females living with their mothers, even after controlling for parental depression. Findings suggest that childhood/adolescent parental divorce may have a stronger impact on suicide attempt risk in female offspring than previously recognized.

Predictors of parenting stress among Malaysian mothers of children with Down syndrome.

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Norizan, A; Shamsuddin, K

2010-11-01

Having children with intellectual disability can be stressful for most parents. Currently there are very few studies focusing on parenting stress among mothers of children with Down syndrome (DS) in Asia. The present study examined the level of parenting stress experienced by Malaysian mothers of children with DS and evaluated the child and maternal factors that contributed to parenting stress based on Hill's ABC-X Model (Hill 1949). We conducted a cross-sectional study of mothers of children with DS between the ages of 2-12 years during February-June 2008 in Kedah, a state in Peninsular Malaysia. We used self-administered questionnaires to gather data on parenting stress, child's birth history and current behavioural problems, as well as the maternal sociodemographic characteristics, coping styles and psychological well-being. Parental Stress Scale (PSS) was used to assess parenting stress. Measures of child's behavioural problem using Pediatric Symptom Checklist, mother's coping style using Carver et al. (1989) COPE inventory and their psychological well-being using Lovibond and Lovibond (1995) DASS21, a scale assessing depression, anxiety and stress were also carried out. The 147 mothers who participated in the study had an average age of 43.1 years (SD = 7.6 years), of whom 94.6% were married, 57.1% had secondary level education and 28.6% were working outside their home. Based on PSS, mean parenting stress was 37.6 (SD = 8.1). Parenting stress was significantly higher among mothers who reported having children with behavioural problems. However, parenting stress was modified by positive coping styles and negative maternal psychological well-being. The final model based on hierarchical regression analysis identified maternal depression and lack of acceptance as significant predictors of parenting stress rather than child's behavioural problems. Mean parenting stress among mothers of children with DS significantly differed by behavioural problems in their

Predicting Early Maladaptive Schemas Using Baumrind’s Parenting Styles

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Esmali Kooraneh, Ahmad; Amirsardari, Leili

2015-01-01

Background: Families play an essential role in maintaining children’s mental, social, and physical health. The family provides the first and the most important social context for human development. Objectives: The present study aimed to predict early maladaptive schemas using Baumrind’s parenting styles (root development). Patients and Methods: A total of 357 undergraduate students of Islamic Azad University, Urmia Branch, Iran, were selected through random cluster sampling during 2013 and 2014. The students were assessed using the Schema Questionnaire-Short Form (SQ-SF) and the Baumrind’s parenting styles inventories. Results: The result of regression analysis showed that Baumrind’s parenting styles are significant predictors of early maladaptive schemas (P parenting style has some features such as showing high levels of warmth or encouraging kids to express their own possibly divergent opinions. The authoritarian parenting style, however, possesses traits such as heartlessness, impassiveness, strictness, and lack of attention to the children’s developmental needs, which is not acceptable. PMID:26288648

Transitions of Adoptive Parents: A Longitudinal Mixed Methods Analysis.

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Foli, Karen J; Hebdon, Megan; Lim, Eunjung; South, Susan C

2017-10-01

As adoptive parents create a new family, they face myriad changes both pre-and post-placement of their child. The aim of this study was to describe parent perceptions and depressive symptoms during this transition via reports collected with an online survey. Using content analysis, we analyzed a total of 110 responses from 64 parents at three time points: 4-6weeks pre-placement, and 4-6weeks and 5-6months post-placement. Five main themes were revealed: Transition from uncertainty to a new normal; unique experiences related to adoption; rest/fatigue: out of balance; life stressors; and faith/spirituality. Two subthemes were also identified: previous losses (pre-placement) and joy and love (post-placement). During the transition from pre-to post-placement, adoptive parents experience a unique passage, with both challenges and strengths exclusive to this group of parents. While acknowledging the commonalities of some parenting experiences, healthcare and adoption professionals should recognize the unique dynamics that adoption brings to families. Copyright © 2017 Elsevier Inc. All rights reserved.

Forecasting urban water demand: A meta-regression analysis.

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Sebri, Maamar

2016-12-01

Water managers and planners require accurate water demand forecasts over the short-, medium- and long-term for many purposes. These range from assessing water supply needs over spatial and temporal patterns to optimizing future investments and planning future allocations across competing sectors. This study surveys the empirical literature on the urban water demand forecasting using the meta-analytical approach. Specifically, using more than 600 estimates, a meta-regression analysis is conducted to identify explanations of cross-studies variation in accuracy of urban water demand forecasting. Our study finds that accuracy depends significantly on study characteristics, including demand periodicity, modeling method, forecasting horizon, model specification and sample size. The meta-regression results remain robust to different estimators employed as well as to a series of sensitivity checks performed. The importance of these findings lies in the conclusions and implications drawn out for regulators and policymakers and for academics alike. Copyright © 2016. Published by Elsevier Ltd.

A simple linear regression method for quantitative trait loci linkage analysis with censored observations.

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Anderson, Carl A; McRae, Allan F; Visscher, Peter M

2006-07-01

Standard quantitative trait loci (QTL) mapping techniques commonly assume that the trait is both fully observed and normally distributed. When considering survival or age-at-onset traits these assumptions are often incorrect. Methods have been developed to map QTL for survival traits; however, they are both computationally intensive and not available in standard genome analysis software packages. We propose a grouped linear regression method for the analysis of continuous survival data. Using simulation we compare this method to both the Cox and Weibull proportional hazards models and a standard linear regression method that ignores censoring. The grouped linear regression method is of equivalent power to both the Cox and Weibull proportional hazards methods and is significantly better than the standard linear regression method when censored observations are present. The method is also robust to the proportion of censored individuals and the underlying distribution of the trait. On the basis of linear regression methodology, the grouped linear regression model is computationally simple and fast and can be implemented readily in freely available statistical software.

The use of cognitive ability measures as explanatory variables in regression analysis.

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Junker, Brian; Schofield, Lynne Steuerle; Taylor, Lowell J

2012-12-01

Cognitive ability measures are often taken as explanatory variables in regression analysis, e.g., as a factor affecting a market outcome such as an individual's wage, or a decision such as an individual's education acquisition. Cognitive ability is a latent construct; its true value is unobserved. Nonetheless, researchers often assume that a test score , constructed via standard psychometric practice from individuals' responses to test items, can be safely used in regression analysis. We examine problems that can arise, and suggest that an alternative approach, a "mixed effects structural equations" (MESE) model, may be more appropriate in many circumstances.

Multiple Imputation of a Randomly Censored Covariate Improves Logistic Regression Analysis.

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Atem, Folefac D; Qian, Jing; Maye, Jacqueline E; Johnson, Keith A; Betensky, Rebecca A

2016-01-01

Randomly censored covariates arise frequently in epidemiologic studies. The most commonly used methods, including complete case and single imputation or substitution, suffer from inefficiency and bias. They make strong parametric assumptions or they consider limit of detection censoring only. We employ multiple imputation, in conjunction with semi-parametric modeling of the censored covariate, to overcome these shortcomings and to facilitate robust estimation. We develop a multiple imputation approach for randomly censored covariates within the framework of a logistic regression model. We use the non-parametric estimate of the covariate distribution or the semiparametric Cox model estimate in the presence of additional covariates in the model. We evaluate this procedure in simulations, and compare its operating characteristics to those from the complete case analysis and a survival regression approach. We apply the procedures to an Alzheimer's study of the association between amyloid positivity and maternal age of onset of dementia. Multiple imputation achieves lower standard errors and higher power than the complete case approach under heavy and moderate censoring and is comparable under light censoring. The survival regression approach achieves the highest power among all procedures, but does not produce interpretable estimates of association. Multiple imputation offers a favorable alternative to complete case analysis and ad hoc substitution methods in the presence of randomly censored covariates within the framework of logistic regression.

Male Saudi Arabian freshman science majors at Jazan University: Their perceptions of parental educational practices on their science achievements

Science.gov (United States)

Alrehaly, Essa D.

Examination of Saudi Arabian educational practices is scarce, but increasingly important, especially in light of the country's pace in worldwide mathematics and science rankings. The purpose of the study is to understand and evaluate parental influence on male children's science education achievements in Saudi Arabia. Parental level of education and participant's choice of science major were used to identify groups for the purpose of data analysis. Data were gathered using five independent variables concerning parental educational practices (attitude, involvement, autonomy support, structure and control) and the dependent variable of science scores in high school. The sample consisted of 338 participants and was arbitrarily drawn from the science-based colleges (medical, engineering, and natural science) at Jazan University in Saudi Arabia. The data were tested using Pearson's analysis, backward multiple regression, one way ANOVA and independent t-test. The findings of the study reveal significant correlations for all five of the variables. Multiple regressions revealed that all five of the parents' educational practices indicators combined together could explain 19% of the variance in science scores and parental attitude toward science and educational involvement combined accounted for more than 18% of the variance. Analysis indicates that no significant difference is attributable to parental involvement and educational level. This finding is important because it indicates that, in Saudi Arabia, results are not consistent with research in Western or other Asian contexts.

Temporal trends in sperm count: a systematic review and meta-regression analysis.

Science.gov (United States)

Levine, Hagai; Jørgensen, Niels; Martino-Andrade, Anderson; Mendiola, Jaime; Weksler-Derri, Dan; Mindlis, Irina; Pinotti, Rachel; Swan, Shanna H

2017-11-01

Reported declines in sperm counts remain controversial today and recent trends are unknown. A definitive meta-analysis is critical given the predictive value of sperm count for fertility, morbidity and mortality. To provide a systematic review and meta-regression analysis of recent trends in sperm counts as measured by sperm concentration (SC) and total sperm count (TSC), and their modification by fertility and geographic group. PubMed/MEDLINE and EMBASE were searched for English language studies of human SC published in 1981-2013. Following a predefined protocol 7518 abstracts were screened and 2510 full articles reporting primary data on SC were reviewed. A total of 244 estimates of SC and TSC from 185 studies of 42 935 men who provided semen samples in 1973-2011 were extracted for meta-regression analysis, as well as information on years of sample collection and covariates [fertility group ('Unselected by fertility' versus 'Fertile'), geographic group ('Western', including North America, Europe Australia and New Zealand versus 'Other', including South America, Asia and Africa), age, ejaculation abstinence time, semen collection method, method of measuring SC and semen volume, exclusion criteria and indicators of completeness of covariate data]. The slopes of SC and TSC were estimated as functions of sample collection year using both simple linear regression and weighted meta-regression models and the latter were adjusted for pre-determined covariates and modification by fertility and geographic group. Assumptions were examined using multiple sensitivity analyses and nonlinear models. SC declined significantly between 1973 and 2011 (slope in unadjusted simple regression models -0.70 million/ml/year; 95% CI: -0.72 to -0.69; P regression analysis reports a significant decline in sperm counts (as measured by SC and TSC) between 1973 and 2011, driven by a 50-60% decline among men unselected by fertility from North America, Europe, Australia and New Zealand. Because

Neighborhood social capital and crime victimization: comparison of spatial regression analysis and hierarchical regression analysis.

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Takagi, Daisuke; Ikeda, Ken'ichi; Kawachi, Ichiro

2012-11-01

Crime is an important determinant of public health outcomes, including quality of life, mental well-being, and health behavior. A body of research has documented the association between community social capital and crime victimization. The association between social capital and crime victimization has been examined at multiple levels of spatial aggregation, ranging from entire countries, to states, metropolitan areas, counties, and neighborhoods. In multilevel analysis, the spatial boundaries at level 2 are most often drawn from administrative boundaries (e.g., Census tracts in the U.S.). One problem with adopting administrative definitions of neighborhoods is that it ignores spatial spillover. We conducted a study of social capital and crime victimization in one ward of Tokyo city, using a spatial Durbin model with an inverse-distance weighting matrix that assigned each respondent a unique level of "exposure" to social capital based on all other residents' perceptions. The study is based on a postal questionnaire sent to 20-69 years old residents of Arakawa Ward, Tokyo. The response rate was 43.7%. We examined the contextual influence of generalized trust, perceptions of reciprocity, two types of social network variables, as well as two principal components of social capital (constructed from the above four variables). Our outcome measure was self-reported crime victimization in the last five years. In the spatial Durbin model, we found that neighborhood generalized trust, reciprocity, supportive networks and two principal components of social capital were each inversely associated with crime victimization. By contrast, a multilevel regression performed with the same data (using administrative neighborhood boundaries) found generally null associations between neighborhood social capital and crime. Spatial regression methods may be more appropriate for investigating the contextual influence of social capital in homogeneous cultural settings such as Japan. Copyright

[Parenting Stress in Mothers of Children with Down Syndrome in Preschool Age].

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Sarimski, Klaus

2017-11-01

Parenting Stress in Mothers of Children with Down Syndrome in Preschool Age Research suggests that parenting stress is elevated in parents of children with intellectual disabilities. However, data are inconsistent if this holds true for parents of children with Down syndrome. As part of the Heidelberg Down syndrome study, 52 mothers of children with Down syndrome (mean age: 5 years) completed the German adaptation of the Parenting Stress Index. These results show significantly elevated stress scores in scales measuring demanding and less acceptable behavior of the children (child characteristics). Scores in scales measuring parent characteristics do not differ significantly from the norms. Global stress scores are associated with the degree of behavioral problems (SDQ) and adaptive competence (VABS-II). A regression analysis points to optimism as a dispositional trait of the mother which makes a significant contribution to the prediction of parenting stress scores. The implications for early intervention are discussed.

Alternative regression models to assess increase in childhood BMI

Directory of Open Access Journals (Sweden)

Mansmann Ulrich

2008-09-01

Full Text Available Abstract Background Body mass index (BMI data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations. Methods Different regression approaches to predict childhood BMI by goodness-of-fit measures and means of interpretation were compared including generalized linear models (GLMs, quantile regression and Generalized Additive Models for Location, Scale and Shape (GAMLSS. We analyzed data of 4967 children participating in the school entry health examination in Bavaria, Germany, from 2001 to 2002. TV watching, meal frequency, breastfeeding, smoking in pregnancy, maternal obesity, parental social class and weight gain in the first 2 years of life were considered as risk factors for obesity. Results GAMLSS showed a much better fit regarding the estimation of risk factors effects on transformed and untransformed BMI data than common GLMs with respect to the generalized Akaike information criterion. In comparison with GAMLSS, quantile regression allowed for additional interpretation of prespecified distribution quantiles, such as quantiles referring to overweight or obesity. The variables TV watching, maternal BMI and weight gain in the first 2 years were directly, and meal frequency was inversely significantly associated with body composition in any model type examined. In contrast, smoking in pregnancy was not directly, and breastfeeding and parental social class were not inversely significantly associated with body composition in GLM models, but in GAMLSS and partly in quantile regression models. Risk factor specific BMI percentile curves could be estimated from GAMLSS and quantile regression models. Conclusion GAMLSS and quantile regression seem to be more appropriate than common GLMs for risk factor modeling of BMI data.

Introduction to regression graphics

CERN Document Server

Cook, R Dennis

2009-01-01

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava

Maternal personality and psychopathology as determinants of parenting behavior: a quantitative integration of two parenting literatures.

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McCabe, Jennifer E

2014-05-01

A substantial literature has examined the association between parenting behavior and maternal psychological characteristics (i.e., personality and psychopathology). Although research has provided evidence indicating that personality and psychopathology are not independent of one another, parenting research has mainly focused on these characteristics separately. In the present study, I quantitatively integrated these literatures through meta-analytic path analysis. First, meta-analyses were conducted on articles, book chapters, and dissertations that examined associations between personality or psychopathology and warmth or control in mothers of children age 12 months or older. Using mixed-effects regression, meta-analyses revealed significant, small effect sizes suggesting that low levels of neuroticism and psychopathology and high levels of agreeableness, extraversion, and conscientiousness were associated with adaptive parenting. Moderator analyses indicated that variability among individual studies was partially explained by report method, study design, and conceptualizations of parenting behavior. Meta-analytic path analyses showed that the observed associations between maternal personality/psychopathology and parenting behaviors as reported in the literature may be explained by variance shared among these psychological characteristics. Furthermore, some maternal psychological characteristics explained a significantly larger portion of variance in parenting behavior than others. Findings supported the proposal that maternal personality and psychopathology are not independent in the associations they demonstrate with parenting behaviors and that these areas of research can be integrated. The present study is limited by including only mothers, excluding infants, and using cross-sectional analyses. However, results have implications for future conceptualizations of maternal psychological characteristics as determinants of parenting behaviors and for the refinement

The agreement between parent-reported and directly measured child language and parenting behaviors

Directory of Open Access Journals (Sweden)

Shannon K Bennetts

2016-11-01

Full Text Available Parenting behaviors are commonly targeted in early interventions to improve children’s language development. Accurate measurement of both parenting behaviors and children’s language outcomes is thus crucial for sensitive assessment of intervention outcomes. To date, only a small number of studies have compared parent-reported and directly measured behaviors, and these have been hampered by small sample sizes and inaccurate statistical techniques, such as correlations. The Bland-Altman Method and Reduced Major Axis regression represent more reliable alternatives because they allow us to quantify fixed and proportional bias between measures. In this study, we draw on data from two Australian early childhood cohorts (N= 201 parents and slow-to-talk toddlers aged 24 months; and N=218 parents and children aged 6-36 months experiencing social adversity to (1 examine agreement and quantify bias between parent-reported and direct measures, and (2 to determine socio-demographic predictors of the differences between parent-reported and direct measures. Measures of child language and parenting behaviors were collected from parents and their children. Our findings support the utility of the Bland-Altman Method and Reduced Major Axis regression in comparing measurement methods. Results indicated stronger agreement between parent-reported and directly measured child language, and poorer agreement between measures of parenting behaviors. Child age was associated with difference scores for child language; however the direction varied for each cohort. Parents who rated their child’s temperament as more difficult tended to report lower language scores on the parent questionnaire, compared to the directly measured scores. Older parents tended to report lower parenting responsiveness on the parent questionnaire, compared to directly measured scores. Finally, speaking a language other than English was associated with less responsive parenting behaviors on the

Analysis of γ spectra in airborne radioactivity measurements using multiple linear regressions

International Nuclear Information System (INIS)

Bao Min; Shi Quanlin; Zhang Jiamei

2004-01-01

This paper describes the net peak counts calculating of nuclide 137 Cs at 662 keV of γ spectra in airborne radioactivity measurements using multiple linear regressions. Mathematic model is founded by analyzing every factor that has contribution to Cs peak counts in spectra, and multiple linear regression function is established. Calculating process adopts stepwise regression, and the indistinctive factors are eliminated by F check. The regression results and its uncertainty are calculated using Least Square Estimation, then the Cs peak net counts and its uncertainty can be gotten. The analysis results for experimental spectrum are displayed. The influence of energy shift and energy resolution on the analyzing result is discussed. In comparison with the stripping spectra method, multiple linear regression method needn't stripping radios, and the calculating result has relation with the counts in Cs peak only, and the calculating uncertainty is reduced. (authors)

The Role of Parental Monitoring on Problematic Internet Use Among Adolescents

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İlkay DEMIR

2017-12-01

Full Text Available Present study aimed to examine the relative role of time spent on the internet, parents’ educational background and parental mobile phone and computer monitoring behaviors on problematic internet use among adolescents. Participants of the study were 250 high school students from İstanbul aged between 14 and 18. Problematic Internet Usage scale, Parental Monitoring Scale and Demografic Information Form were used to collect data. Results of the hierarchical regression analysis revealed that time spent on the internet, fathers’ education and parental computer monitoring together accounted for the 16% of the variance in problematic internat use among adolescents. While mothers’ educational background and parental mobile phone monitoring had no significant contribution in the model, time spent on the internet and fathers’ education were found to be stronger predictors of problematic internet use than parental computer monitoring.

Regression Analysis and Calibration Recommendations for the Characterization of Balance Temperature Effects

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Ulbrich, N.; Volden, T.

2018-01-01

Analysis and use of temperature-dependent wind tunnel strain-gage balance calibration data are discussed in the paper. First, three different methods are presented and compared that may be used to process temperature-dependent strain-gage balance data. The first method uses an extended set of independent variables in order to process the data and predict balance loads. The second method applies an extended load iteration equation during the analysis of balance calibration data. The third method uses temperature-dependent sensitivities for the data analysis. Physical interpretations of the most important temperature-dependent regression model terms are provided that relate temperature compensation imperfections and the temperature-dependent nature of the gage factor to sets of regression model terms. Finally, balance calibration recommendations are listed so that temperature-dependent calibration data can be obtained and successfully processed using the reviewed analysis methods.

Clinical evaluation of a novel population-based regression analysis for detecting glaucomatous visual field progression.

Science.gov (United States)

Kovalska, M P; Bürki, E; Schoetzau, A; Orguel, S F; Orguel, S; Grieshaber, M C

2011-04-01

The distinction of real progression from test variability in visual field (VF) series may be based on clinical judgment, on trend analysis based on follow-up of test parameters over time, or on identification of a significant change related to the mean of baseline exams (event analysis). The aim of this study was to compare a new population-based method (Octopus field analysis, OFA) with classic regression analyses and clinical judgment for detecting glaucomatous VF changes. 240 VF series of 240 patients with at least 9 consecutive examinations available were included into this study. They were independently classified by two experienced investigators. The results of such a classification served as a reference for comparison for the following statistical tests: (a) t-test global, (b) r-test global, (c) regression analysis of 10 VF clusters and (d) point-wise linear regression analysis. 32.5 % of the VF series were classified as progressive by the investigators. The sensitivity and specificity were 89.7 % and 92.0 % for r-test, and 73.1 % and 93.8 % for the t-test, respectively. In the point-wise linear regression analysis, the specificity was comparable (89.5 % versus 92 %), but the sensitivity was clearly lower than in the r-test (22.4 % versus 89.7 %) at a significance level of p = 0.01. A regression analysis for the 10 VF clusters showed a markedly higher sensitivity for the r-test (37.7 %) than the t-test (14.1 %) at a similar specificity (88.3 % versus 93.8 %) for a significant trend (p = 0.005). In regard to the cluster distribution, the paracentral clusters and the superior nasal hemifield progressed most frequently. The population-based regression analysis seems to be superior to the trend analysis in detecting VF progression in glaucoma, and may eliminate the drawbacks of the event analysis. Further, it may assist the clinician in the evaluation of VF series and may allow better visualization of the correlation between function and structure owing to VF

Parents as Teachers Health Literacy Demonstration project: integrating an empowerment model of health literacy promotion into home-based parent education.

Science.gov (United States)

Carroll, Lauren N; Smith, Sandra A; Thomson, Nicole R

2015-03-01

The Parents as Teachers (PAT) Health Literacy Demonstration project assessed the impact of integrating data-driven reflective practices into the PAT home visitation model to promote maternal health literacy. PAT is a federally approved Maternal, Infant, Early Childhood Home Visiting program with the goal of promoting school readiness and healthy child development. This 2-year demonstration project used an open-cohort longitudinal design to promote parents' interactive and reflective skills, enhance health education, and provide direct assistance to personalize and act on information by integrating an empowerment paradigm into PAT's parent education model. Eight parent educators used the Life Skills Progression instrument to tailor the intervention to each of 103 parent-child dyads. Repeated-measures analysis of variance, paired t tests, and logistic regression combined with qualitative data demonstrated that mothers achieved overall significant improvements in health literacy, and that home visitors are important catalysts for these improvements. These findings support the use of an empowerment model of health education, skill building, and direct information support to enable parents to better manage personal and child health and health care. © 2014 Society for Public Health Education.

Selective principal component regression analysis of fluorescence hyperspectral image to assess aflatoxin contamination in corn

Science.gov (United States)

Selective principal component regression analysis (SPCR) uses a subset of the original image bands for principal component transformation and regression. For optimal band selection before the transformation, this paper used genetic algorithms (GA). In this case, the GA process used the regression co...

Determining Balıkesir’s Energy Potential Using a Regression Analysis Computer Program

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Bedri Yüksel

2014-01-01

Full Text Available Solar power and wind energy are used concurrently during specific periods, while at other times only the more efficient is used, and hybrid systems make this possible. When establishing a hybrid system, the extent to which these two energy sources support each other needs to be taken into account. This paper is a study of the effects of wind speed, insolation levels, and the meteorological parameters of temperature and humidity on the energy potential in Balıkesir, in the Marmara region of Turkey. The relationship between the parameters was studied using a multiple linear regression method. Using a designed-for-purpose computer program, two different regression equations were derived, with wind speed being the dependent variable in the first and insolation levels in the second. The regression equations yielded accurate results. The computer program allowed for the rapid calculation of different acceptance rates. The results of the statistical analysis proved the reliability of the equations. An estimate of identified meteorological parameters and unknown parameters could be produced with a specified precision by using the regression analysis method. The regression equations also worked for the evaluation of energy potential.

Covariate Imbalance and Adjustment for Logistic Regression Analysis of Clinical Trial Data

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Ciolino, Jody D.; Martin, Reneé H.; Zhao, Wenle; Jauch, Edward C.; Hill, Michael D.; Palesch, Yuko Y.

2014-01-01

In logistic regression analysis for binary clinical trial data, adjusted treatment effect estimates are often not equivalent to unadjusted estimates in the presence of influential covariates. This paper uses simulation to quantify the benefit of covariate adjustment in logistic regression. However, International Conference on Harmonization guidelines suggest that covariate adjustment be pre-specified. Unplanned adjusted analyses should be considered secondary. Results suggest that that if adjustment is not possible or unplanned in a logistic setting, balance in continuous covariates can alleviate some (but never all) of the shortcomings of unadjusted analyses. The case of log binomial regression is also explored. PMID:24138438

Parental Practices and the Development of Maladaptive Schemas

Science.gov (United States)

Gunty, Amy L.; Buri, John R.

2008-01-01

The relationship between Young's (1999) Early Maladaptive Schemas (EMSs) and several parental variables was investigated. The parental variables of interest were: (a) Nurturance, (b) Authority, (c) Intrusiveness, (d) Psychological Control, (e) Overprotection, and (f) Parentification. Regression analyses revealed that these parental practices…

Parent-child relationships, parental attitudes towards sex, and birth outcomes among adolescents.

Science.gov (United States)

Harville, Emily W; Madkour, Aubrey Spriggs; Xie, Yiqiong

2014-10-01

To examine how parent-child relationships, parental control, and parental attitudes towards sex were related to pregnancy outcomes among adolescent mothers. Prospective cohort study. Parental report of relationship satisfaction, disapproval of adolescent having sex, discussion around sexual health, and sexual communication attitudes, and adolescent report of relationship satisfaction, parental control, and parental disapproval of sex were examined as predictors of self-reported birth outcomes. Weighted multivariable linear regression models were run incorporating interactions by race. United States. 632 females who participated in Waves I and IV of the National Longitudinal Study of Adolescent Health (Add Health), a nationally-representative sample of students enrolled in grades 7-12 in 1994-95 and followed up in 2007-2008. Birthweight and gestational age. For Black adolescents, better parent-child relationship was associated with higher birthweight (0.14 kg, P Parent-child relationships and attitudes about sex affect outcomes of pregnant adolescents. Copyright © 2014 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

Incredible parenting with Incredible Years?: A Foucauldian analysis of New Zealand Government Perspectives on Parenting and their Implications for Parents and educators in Early Childhood Education

Directory of Open Access Journals (Sweden)

Shil Bae

2017-09-01

Full Text Available This paper takes a post-structural approach, examining what and how issues are framed in the parenting policy, Incredible Years, through Foucault’s (1977, 1980, 1991, 2003, 2004 notion of governmentality and discursive normalisation . By unpacking discourses of parenting produced by Incredible Years as an accepted parenting programme, it aims to reveal the norm of parenting that is promoted by the current system, and explores how this concept of truth in parenting influences the everyday life of families. The critical analysis of Incredible Years shows that the programme (reproduces the economic/neoliberal discourses as the normal/desirable norm of parenting, thus maintaining/reinforcing the existing power relations in society. The author argues that this notion of a curriculum for parents provides only a limited understanding of the issue, and intensifies inequality and injustice in the milieu. This paper aims to provide the insights for reconceptualising our understanding of parenting for future policy decisions and effective pedagogy.

The effects of knowledge of child development and social-emotional maturity on adolescent attitudes toward parenting.

Science.gov (United States)

Larsen, J J; Juhasz, A M

1985-01-01

This study investigated the relationship between the combined effect of knowledge of child development and level of social-emotional maturity, and the extent to which this relationship affects adolescent attitudes toward parenting. The analysis of the data (multiple regression and canonical analysis) suggested that there were significant relationships among these variables. In general, the relationships indicated that subjects' negative attitudes toward parenting were associated with lack of knowledge of child development and low levels of social-emotional maturity, while subjects' positive attitudes toward parenting were associated with knowledge of child development and high levels of social-emotional maturity. The joint impact of knowledge of child development and social-emotional maturity factors on attitudes toward parenting accounted for 51% of the variation among the variables.

Declining Bias and Gender Wage Discrimination? A Meta-Regression Analysis

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Jarrell, Stephen B.; Stanley, T. D.

2004-01-01

The meta-regression analysis reveals that there is a strong tendency for discrimination estimates to fall and wage discrimination exist against the woman. The biasing effect of researchers' gender of not correcting for selection bias has weakened and changes in labor market have made it less important.

[Parental beliefs and child-rearing attitudes and mental health problems among schoolchildren].

Science.gov (United States)

Vitolo, Ymara Lúcia Camargo; Fleitlich-Bilyk, Bacy; Goodman, Robert; Bordin, Isabel Altenfelder Santos

2005-10-01

To verify the prevalence and identify the risk factors related to mental health problems among schoolchildren and its possible association with the beliefs and educational attitudes of parents/caretakers. Cross-sectional study with a stratified probabilistic sample (n=454) of first to third-graders from public and private schools in Southeastern Brazil. Standardized instruments were administered to parents/caretakers by trained interviewers, including screening questionnaires for mental health problems among children and parents/caretakers; a questionnaire on beliefs and attitudes; and a questionnaire for socio-economic status. Chi-square tests and logistic regression models were used for statistical analysis. We found 35.2% prevalence of clinical/borderline cases among students. Parents/caretakers that believed in corporal punishment as a child-rearing method used physical aggression towards their children more frequently (64.8%). Logistic regression models showed that the act of hitting the child with a belt was associated to conduct problems and to overall mental health problems among schoolchildren in the presence of other risk factors: child gender (male), parents/caretakers with mental health problems, and adverse socioeconomic conditions. The high prevalence of mental health problems among schoolchildren and its association with child-rearing methods and mental health problems among parents/caretakers indicate the need for psycho-educational interventions aimed to reduce physical abuse and mental health problems in childhood.

Statistical methods in regression and calibration analysis of chromosome aberration data

International Nuclear Information System (INIS)

Merkle, W.

1983-01-01

The method of iteratively reweighted least squares for the regression analysis of Poisson distributed chromosome aberration data is reviewed in the context of other fit procedures used in the cytogenetic literature. As an application of the resulting regression curves methods for calculating confidence intervals on dose from aberration yield are described and compared, and, for the linear quadratic model a confidence interval is given. Emphasis is placed on the rational interpretation and the limitations of various methods from a statistical point of view. (orig./MG)

Length bias correction in gene ontology enrichment analysis using logistic regression.

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Mi, Gu; Di, Yanming; Emerson, Sarah; Cumbie, Jason S; Chang, Jeff H

2012-01-01

When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence subsequent analyses such as Gene Ontology enrichment analysis. In the presence of length bias, Gene Ontology categories that include longer genes are more likely to be identified as enriched. These categories, however, are not necessarily biologically more relevant. We show that one can effectively adjust for length bias in Gene Ontology analysis by including transcript length as a covariate in a logistic regression model. The logistic regression model makes the statistical issue underlying length bias more transparent: transcript length becomes a confounding factor when it correlates with both the Gene Ontology membership and the significance of the differential expression test. The inclusion of the transcript length as a covariate allows one to investigate the direct correlation between the Gene Ontology membership and the significance of testing differential expression, conditional on the transcript length. We present both real and simulated data examples to show that the logistic regression approach is simple, effective, and flexible.

Parental happiness and strain among young adult parents diagnosed with Attention Deficit Hyperactivity Disorder.

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Kroeger, Rhiannon A

2018-03-01

This study used data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to examine whether young adult parents diagnosed with Attention Deficit Hyperactivity Disorder experience less parental happiness and/or more parental strain than their counterparts not diagnosed with Attention Deficit Hyperactivity Disorder. Results from logistic regression models indicated that young adult parents ever diagnosed with Attention Deficit Hyperactivity Disorder have significantly greater odds of feeling overwhelmed as parents and significantly lower odds of feeling close to their children or happy in their role as parents compared to those never diagnosed with Attention Deficit Hyperactivity Disorder. Potential implications of these results for scholars as well as health professionals treating adult Attention Deficit Hyperactivity Disorder patients with children are discussed.

Parent-youth communication and concordance between parents and adolescents on reported engagement in social relationships and sexually intimate behaviors in Hanoi and Khanh Hoa Province, Vietnam.

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Kaljee, Linda M; Green, Mackenzie; Lerdboon, Porntip; Riel, Rosemary; Pham, Van; Tho, Le Huu; Ha, Nguyen T; Minh, Truong Tan; Li, Xiaoming; Chen, Xinguang; Stanton, Bonita

2011-03-01

Parent-child communication is associated with positive outcomes for youths' engagement in sexual behaviors. Limited data are available regarding parent-child communication in transitional countries. We present data from Vietnamese parent-youth dyads on parent reproductive health (RH) knowledge, comfort of communication, frequency of talk, and discordancy between youths' reported and parents' perceptions for engagement in relationships and sexually intimate behaviors. The cohort included 185 randomly selected parent-youth dyads in four communes in Hanoi and Khanh Hoa Province. Descriptive and comparative analysis included chi-squared tests, independent samples t-tests, and ANOVA. Linear regression analysis was used to assess relationships between parental knowledge, level of comfort, frequency of talk, and discordancy. Seventy-six percent of parents and 44% of youth were female. The mean age of youth was 17.2 years. The mean score for parental "RH knowledge" was 24.74 (SD, 3.84; range, 15-34). Lower parental RH knowledge was positively associated with lower levels of education (F = 2.983; df, 184; p = .014). Data indicate a linear model in which knowledge is related to "comfort" (β = .17; p = .048), and "comfort" to frequency of "talk" (β = .6; p sexual touching (β = .57; p = .60). Parent and youth in Vietnam are engaged in limited communication about RH. There is a need for more data to assess the effect of these communication patterns on youths' engagement in sexual behaviors and for development of family-centered interventions to increase parental knowledge and skills for positive communication. Copyright © 2011 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Analysis of designed experiments by stabilised PLS Regression and jack-knifing

DEFF Research Database (Denmark)

Martens, Harald; Høy, M.; Westad, F.

2001-01-01

Pragmatical, visually oriented methods for assessing and optimising bi-linear regression models are described, and applied to PLS Regression (PLSR) analysis of multi-response data from controlled experiments. The paper outlines some ways to stabilise the PLSR method to extend its range...... the reliability of the linear and bi-linear model parameter estimates. The paper illustrates how the obtained PLSR "significance" probabilities are similar to those from conventional factorial ANOVA, but the PLSR is shown to give important additional overview plots of the main relevant structures in the multi....... An Introduction, Wiley, Chichester, UK, 2001]....

Protecting young children against skin cancer: Parental beliefs, roles, and regret.

Science.gov (United States)

Hamilton, Kyra; Kirkpatrick, Aaron; Rebar, Amanda; White, Katherine M; Hagger, Martin S

2017-12-01

To examine the role of parental beliefs, roles, and anticipated regret toward performing childhood sun-protective behaviours. Parents (N = 230; 174 mothers, 56 fathers), recruited using a nonrandom convenience sample, of at least 1 child aged between 2 and 5 years completed an initial questionnaire assessing demographics and past behaviour as well as theory of planned behaviour global (attitude, subjective norm, and perceived behavioural control) and belief-based (behavioural, normative, and control beliefs) measures, role construction, and anticipated regret regarding their intention and behaviour to protect their child from the sun. Two weeks later, participants completed a follow-up questionnaire assessing their sun protection of their child during the previous 2 weeks. Hierarchical multiple regression analysis identified attitude, perceived behavioural control, role construction, anticipated regret, past behaviour, and a normative belief ("current partner/other family members") as significant predictors of parents' intention to participate in sun-protective behaviour for their child. Intention and past behaviour were significant predictors of parents' follow-up sun-protective behaviour. The regression models explained 64% and 36% of the variance in intention and behaviour, respectively. The findings of this study highlight the importance of anticipated regret and role-related beliefs alongside personal, normative, and control beliefs in determining parents' intentional sun-protective behaviour for their children. Findings may inform the development of parent- and community-based sun protection intervention programs to promote parents' sun-safety behaviours for their children to prevent future skin cancer incidence. Copyright © 2017 John Wiley & Sons, Ltd.

Replica analysis of overfitting in regression models for time-to-event data

Science.gov (United States)

Coolen, A. C. C.; Barrett, J. E.; Paga, P.; Perez-Vicente, C. J.

2017-09-01

Overfitting, which happens when the number of parameters in a model is too large compared to the number of data points available for determining these parameters, is a serious and growing problem in survival analysis. While modern medicine presents us with data of unprecedented dimensionality, these data cannot yet be used effectively for clinical outcome prediction. Standard error measures in maximum likelihood regression, such as p-values and z-scores, are blind to overfitting, and even for Cox’s proportional hazards model (the main tool of medical statisticians), one finds in literature only rules of thumb on the number of samples required to avoid overfitting. In this paper we present a mathematical theory of overfitting in regression models for time-to-event data, which aims to increase our quantitative understanding of the problem and provide practical tools with which to correct regression outcomes for the impact of overfitting. It is based on the replica method, a statistical mechanical technique for the analysis of heterogeneous many-variable systems that has been used successfully for several decades in physics, biology, and computer science, but not yet in medical statistics. We develop the theory initially for arbitrary regression models for time-to-event data, and verify its predictions in detail for the popular Cox model.

Predictors of postoperative outcomes of cubital tunnel syndrome treatments using multiple logistic regression analysis.

Science.gov (United States)

Suzuki, Taku; Iwamoto, Takuji; Shizu, Kanae; Suzuki, Katsuji; Yamada, Harumoto; Sato, Kazuki

2017-05-01

This retrospective study was designed to investigate prognostic factors for postoperative outcomes for cubital tunnel syndrome (CubTS) using multiple logistic regression analysis with a large number of patients. Eighty-three patients with CubTS who underwent surgeries were enrolled. The following potential prognostic factors for disease severity were selected according to previous reports: sex, age, type of surgery, disease duration, body mass index, cervical lesion, presence of diabetes mellitus, Workers' Compensation status, preoperative severity, and preoperative electrodiagnostic testing. Postoperative severity of disease was assessed 2 years after surgery by Messina's criteria which is an outcome measure specifically for CubTS. Bivariate analysis was performed to select candidate prognostic factors for multiple linear regression analyses. Multiple logistic regression analysis was conducted to identify the association between postoperative severity and selected prognostic factors. Both bivariate and multiple linear regression analysis revealed only preoperative severity as an independent risk factor for poor prognosis, while other factors did not show any significant association. Although conflicting results exist regarding prognosis of CubTS, this study supports evidence from previous studies and concludes early surgical intervention portends the most favorable prognosis. Copyright © 2017 The Japanese Orthopaedic Association. Published by Elsevier B.V. All rights reserved.

Parental behaviours, but not parental smoking, influence current smoking and smoking susceptibility among 14 and 15 year-old children.

Science.gov (United States)

Waa, Andrew; Edwards, Richard; Newcombe, Rhiannon; Zhang, Jane; Weerasekera, Deepa; Peace, Jo; McDuff, Ingrid

2011-12-01

To explore whether parental behaviours related to smoking socialisation and parenting are associated with smoking susceptibility and current smoking in 14-15 year old students. Data were sourced from the New Zealand 2006 Year 10 In-depth Survey, a school-based survey of 3,189 students. Outcome measures were susceptibility to smoking and current smoking. Potential determinants were second-hand smoke exposure in the home, parental smoking, parental anti-smoking expectations, anti-smoking rules, pocket money, monitoring of pocket money expenditure, general rule setting and monitoring, and concern about education. Analysis used logistic regression to adjust for potential confounding factors. Exposure to second-hand smoke and lack of parental anti-smoking expectations were independently associated with smoking susceptibility and current smoking. Parental smoking was not independently associated with current smoking or susceptibility. Receiving pocket money and an absence of monitoring of expenditure were associated with smoking susceptibility and current smoking. Lack of parental rule setting was associated with smoking susceptibility. Findings were similar whether or not one or more parents were smokers. Not allowing smoking in the home, communicating non-smoking expectations to children, monitoring pocket money, and setting rules to guide behaviour are strategies which are likely to reduce risk of smoking uptake. The study provides evidence to inform the development of parent-focused interventions to reduce the risk of smoking initiation by children. © 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.

High school drinking mediates the relationship between parental monitoring and college drinking: A longitudinal analysis

Directory of Open Access Journals (Sweden)

Vincent Kathryn B

2008-03-01

Full Text Available Abstract Background College drinking is a significant public health problem. Although parental monitoring and supervision reduces the risk for alcohol consumption among younger adolescents, few studies have investigated the impact of earlier parental monitoring on later college drinking. This study examined whether parental monitoring indirectly exerts a protective effect on college drinking by reducing high school alcohol consumption. Methods A longitudinal cohort of 1,253 male and female students, ages 17 to 19, attending a large, public, mid-Atlantic university was studied at two time points. First, data on high school parental monitoring and alcohol consumption were gathered via questionnaire during the summer prior to college entry. Second, during the first year of college, past-year alcohol consumption was measured via a personal interview. Multiple regression models tested the relationship between parental monitoring and past year alcohol use (i.e., number of drinks per drinking day. Results Holding constant demographics, SAT score, and religiosity, parental monitoring had a significant protective effect on both high school and college drinking level. However, the association between parental monitoring and college drinking level became non-significant once high school drinking level was held constant. Conclusion While parental monitoring did not directly influence college alcohol consumption, evidence for mediation was observed, whereby parental monitoring had an indirect influence on college drinking through reductions in high school drinking. Initiatives that promote effective parenting might be an important strategy to curb high-risk drinking among older adolescents. More research is needed to understand the nature and degree of parent-child communication that is necessary to extend the protective influence of parents into the college years.

Multiple linear regression analysis

Science.gov (United States)

Edwards, T. R.

1980-01-01

Program rapidly selects best-suited set of coefficients. User supplies only vectors of independent and dependent data and specifies confidence level required. Program uses stepwise statistical procedure for relating minimal set of variables to set of observations; final regression contains only most statistically significant coefficients. Program is written in FORTRAN IV for batch execution and has been implemented on NOVA 1200.

Parental care influences leukocyte telomere length with gender specificity in parents and offsprings.

Science.gov (United States)

Enokido, Masanori; Suzuki, Akihito; Sadahiro, Ryoichi; Matsumoto, Yoshihiko; Kuwahata, Fumikazu; Takahashi, Nana; Goto, Kaoru; Otani, Koichi

2014-10-03

There have been several reports suggesting that adverse childhood experiences such as physical maltreatment and long institutionalization influence telomere length. However, there has been no study examining the relationship of telomere length with variations in parental rearing. In the present study, we examined the relationship of leukocyte telomere length with parental rearing in healthy subjects. The subjects were 581 unrelated healthy Japanese subjects. Perceived parental rearing was assessed by the Parental Bonding Instrument consisting of the care and protection factors. Leukocyte relative telomere length was determined by a quantitative real-time PCR method for a ratio of telomere/single copy gene. In the multiple regression analyses, shorter telomere length in males was related to lower scores of paternal care (β = 0.139, p care (β = 0.195, p parental care and telomere length which covers both lower and higher ends of parental care, and that the effects of parental care on telomere length are gender-specific in parents and offsprings.

Parenting style and adolescent smoking.

Science.gov (United States)

O'Byrne, Kristin Koetting; Haddock, C Keith; Poston, Walker S C

2002-06-01

To investigate whether parenting style is an independent risk factor of smoking initiation and experimentation among adolescents, and whether there is a relationship between parenting style and readiness to quit, or nicotine dependence among smokers. The 84-item Health and Smoking Questionnaire, which assesses demographics, smoking status and smoking history, perceptions of risk and risk reduction, risk factors for tobacco use, and parenting style, was administered to 816 adolescents in grades 7 to 12 (mean age, 15.1 years) of whom 22.6% (n = 182) were smokers. Parenting style was measured by the brief, non-retrospective version of the Family of Origin Scale (FOS). Higher scores on the FOS indicated more positive perceived parenting style with high levels of intimacy and autonomy, characteristics of healthy parent-child relationships. Data were analyzed using a model-building approach to logistic regression with demographic and other psychosocial variables in the first two steps, and with parenting style as the last step. Results from two logistic regression models indicate that although parenting style is not a significant risk factor for smoking experimentation [odds ratio (OR) =.998; confidence interval (CI) =.977-1.019; p =.820], it is a significant independent risk factor for smoking initiation (OR =.950; CI =.930-.970; p =.000). Smokers who were more ready to quit had higher parenting style scores than those who were not ready to quit, and smokers who had made a serious quit attempt (an indicator of nicotine addiction) had higher parenting style scores than those who had not made a quit attempt. Moreover, nonsmokers who reported they would smoke a cigarette if their best friend offered had significantly lower parenting style scores than those who reported they would not smoke a cigarette. Additional research on parenting style and its impact on adolescent smoking with a more economically and ethnically diverse sample is warranted. If future research confirms

Understanding the association between authoritative parenting and adolescent smoking.

Science.gov (United States)

Castrucci, Brian C; Gerlach, Karen K

2006-03-01

Research on adolescent cigarette smoking has attempted to measure the role of parents in preventing smoking experimentation and uptake. However, aspects of parental influence have often been limited to parental smoking behavior or antismoking socialization. Only a limited number of studies considered the hypothesis that the influence of parenting on adolescent current cigarette smoking may extend beyond parental behavior and antismoking socialization to consider broader measures of the parent-child relationship, such as parenting style. The sample was nationally representative and included 17,287 high school students nationwide. Data were used to categorize the parenting style--authoritative, permissive, autocratic, and unengaged--experienced by each respondent. Logistic regression analysis was used to assess the association between parenting style and adolescent current cigarette smoking. Authoritative parenting was associated with a reduction in the odds of adolescent current cigarette smoking (OR: 0.74, 99% CI: 0.58, 0.95). When authoritative parenting is simultaneously considered with believing parents' opinions about smoking are important, authoritative parenting was no longer a significant correlate of adolescent current cigarette smoking, while believing parents' opinions about smoking are important was associated with a 45% (99% CI: 0.48, 0.64) reduction in the odds of adolescent current cigarette smoking. Authoritative parenting was associated with a more than three-fold increase (OR: 3.65, 99% CI: 2.87, 4.66) in the odds of believing parents' opinions about smoking are important. Interventions may want to educate parents about authoritative parenting, which includes the importance of having appropriate and routine conversations with their children, requiring chores, and implementing general rules and boundaries.

Comparing parent and teacher assessments of mental health in elementary school children.

Science.gov (United States)

Boman, Fiffi; Stafström, Martin; Lundin, Nils; Moghadassi, Mahnaz; Törnhage, Carl-Johan; Östergren, Per-Olof

2016-03-01

Screening instruments are often used for detecting mental health problems in children and adolescents. The Strengths and Difficulties Questionnaire (SDQ) is one instrument for screening children's mental health. The SDQ can be used for assessment by different informants, i.e. parents, teachers and by 11-16 year olds for self-reporting. The aim was to compare the precision and validity of parental and teacher SDQ assessments in elementary school children, and to analyze whether assessments were affected by the child's sex and by socio-demographic factors. A total of 512 primary school students were included in a cross-sectional study. Exploratory factor analysis, sensitivity/specificity analysis, Cronbach's alphas, and logistic regression were applied. Parents rated 10.9% and teachers 8.8% of the children as high-risk individuals, but the overlap was low (32.1%). Cronbach's alphas were 0.73 and 0.71 for parents and teachers, respectively. However, factor analysis showed that the five-factor solution could be confirmed only for teacher ratings. Moreover, only the parents' ratings were affected by maternal educational level and parental country of birth when rating the same children as the teachers. Construct validity was only confirmed for teacher assessments. However, parental assessments might capture a dimension of a child's mental health that seems to be sensitive to socioeconomic factors, which could be important when addressing equity issues, and for the dialogue between parents and school. © 2015 the Nordic Societies of Public Health.

Parent emotional distress and feeding styles in low-income families. The role of parent depression and parenting stress.

Science.gov (United States)

Hughes, Sheryl O; Power, Thomas G; Liu, Yan; Sharp, Carla; Nicklas, Theresa A

2015-09-01

Depression and other stressors have been associated with general parenting and child outcomes in low-income families. Given that parents shape child eating behaviors through their feeding interactions with their child, it is important to investigate factors that may influence parental feeding of young children. The aim of this study was to examine how depressive symptoms and parenting stress might influence the nature of parent feeding styles in low-income families. Questionnaires were completed by 290 African-American and Hispanic parents residing in a large urban city in the southwestern United States. Twenty-six percent of the parents reported depressive symptoms above the clinical cutoff. Multivariate logistic regression was used to examine how depressive symptoms and parenting stress might influence the nature of parent feeding styles. After adjusting for potential confounding variables (e.g., ethnicity, education, age), parents with an uninvolved feeding style reported less positive affect and more parenting stress than parents showing the other three feeding styles - authoritative, authoritarian, and indulgent. Because feeding styles tend to be associated with child obesity in low income samples, the results of this study provide important information regarding the parent-child eating dynamic that may promote less optimal child eating behaviors and the development of childhood obesity. This information could be useful for prevention studies aimed at changing parent behaviors that negatively impact the socialization of child eating behaviors. Copyright © 2015 Elsevier Ltd. All rights reserved.

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.

Application of range-test in multiple linear regression analysis in ...

African Journals Online (AJOL)

Application of range-test in multiple linear regression analysis in the presence of outliers is studied in this paper. First, the plot of the explanatory variables (i.e. Administration, Social/Commercial, Economic services and Transfer) on the dependent variable (i.e. GDP) was done to identify the statistical trend over the years.

Parental Influences on Adolescent Adjustment: Parenting Styles Versus Parenting Practices

Science.gov (United States)

Lee, Sang Min; Daniels, M. Harry; Kissinger, Daniel B.

2006-01-01

The study identified distinct patterns of parental practices that differentially influence adolescent behavior using the National Educational Longitudinal Survey (NELS:88) database. Following Brenner and Fox's research model (1999), the cluster analysis was used to classify the four types of parental practices. The clusters of parenting practices…

Parental feeding practices predict authoritative, authoritarian, and permissive parenting styles.

Science.gov (United States)

Hubbs-Tait, Laura; Kennedy, Tay Seacord; Page, Melanie C; Topham, Glade L; Harrist, Amanda W

2008-07-01

Our goal was to identify how parental feeding practices from the nutrition literature link to general parenting styles from the child development literature to understand how to target parenting practices to increase effectiveness of interventions. Stand-alone parental feeding practices could be targeted independently. However, parental feeding practices linked to parenting styles require interventions treating underlying family dynamics as a whole. To predict parenting styles from feeding practices and to test three hypotheses: restriction and pressure to eat are positively related whereas responsibility, monitoring, modeling, and encouraging are negatively related to an authoritarian parenting style; responsibility, monitoring, modeling, and encouraging are positively related whereas restriction and pressure to eat are negatively related to an authoritative parenting style; a permissive parenting style is negatively linked with all six feeding practices. Baseline data of a randomized-controlled intervention study. Two hundred thirty-nine parents (93.5% mothers) of first-grade children (134 boys, 105 girls) enrolled in rural public schools. Parental responses to encouraging and modeling questionnaires and the Child Feeding Questionnaire, as well as parenting styles measured by the Parenting Styles and Dimensions Questionnaire. Correlation and regression analyses. Feeding practices explained 21%, 15%, and 8% of the variance in authoritative, authoritarian, and permissive parenting, respectively. Restriction, pressure to eat, and monitoring (negative) significantly predicted an authoritarian style (Hypothesis 1); responsibility, restriction (negative), monitoring, and modeling predicted an authoritative style (Hypothesis 2); and modeling (negative) and restriction significantly predicted a permissive style (Hypothesis 3). Parental feeding practices with young children predict general parenting styles. Interventions that fail to address underlying parenting styles

Multiple regression analysis of anthropometric measurements influencing the cephalic index of male Japanese university students.

Science.gov (United States)

Hossain, Md Golam; Saw, Aik; Alam, Rashidul; Ohtsuki, Fumio; Kamarul, Tunku

2013-09-01

Cephalic index (CI), the ratio of head breadth to head length, is widely used to categorise human populations. The aim of this study was to access the impact of anthropometric measurements on the CI of male Japanese university students. This study included 1,215 male university students from Tokyo and Kyoto, selected using convenient sampling. Multiple regression analysis was used to determine the effect of anthropometric measurements on CI. The variance inflation factor (VIF) showed no evidence of a multicollinearity problem among independent variables. The coefficients of the regression line demonstrated a significant positive relationship between CI and minimum frontal breadth (p regression analysis showed a greater likelihood for minimum frontal breadth (p regression analysis revealed bizygomatic breadth, head circumference, minimum frontal breadth, head height and morphological facial height to be the best predictor craniofacial measurements with respect to CI. The results suggest that most of the variables considered in this study appear to influence the CI of adult male Japanese students.

Understanding poisson regression.

Science.gov (United States)

Hayat, Matthew J; Higgins, Melinda

2014-04-01

Nurse investigators often collect study data in the form of counts. Traditional methods of data analysis have historically approached analysis of count data either as if the count data were continuous and normally distributed or with dichotomization of the counts into the categories of occurred or did not occur. These outdated methods for analyzing count data have been replaced with more appropriate statistical methods that make use of the Poisson probability distribution, which is useful for analyzing count data. The purpose of this article is to provide an overview of the Poisson distribution and its use in Poisson regression. Assumption violations for the standard Poisson regression model are addressed with alternative approaches, including addition of an overdispersion parameter or negative binomial regression. An illustrative example is presented with an application from the ENSPIRE study, and regression modeling of comorbidity data is included for illustrative purposes. Copyright 2014, SLACK Incorporated.

Analysis of the influence of quantile regression model on mainland tourists' service satisfaction performance.

Science.gov (United States)

Wang, Wen-Cheng; Cho, Wen-Chien; Chen, Yin-Jen

2014-01-01

It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models.

Analysis of the Influence of Quantile Regression Model on Mainland Tourists' Service Satisfaction Performance

Science.gov (United States)

Wang, Wen-Cheng; Cho, Wen-Chien; Chen, Yin-Jen

2014-01-01

It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models. PMID:24574916

Analysis of the Influence of Quantile Regression Model on Mainland Tourists’ Service Satisfaction Performance

Directory of Open Access Journals (Sweden)

Wen-Cheng Wang

2014-01-01

Full Text Available It is estimated that mainland Chinese tourists travelling to Taiwan can bring annual revenues of 400 billion NTD to the Taiwan economy. Thus, how the Taiwanese Government formulates relevant measures to satisfy both sides is the focus of most concern. Taiwan must improve the facilities and service quality of its tourism industry so as to attract more mainland tourists. This paper conducted a questionnaire survey of mainland tourists and used grey relational analysis in grey mathematics to analyze the satisfaction performance of all satisfaction question items. The first eight satisfaction items were used as independent variables, and the overall satisfaction performance was used as a dependent variable for quantile regression model analysis to discuss the relationship between the dependent variable under different quantiles and independent variables. Finally, this study further discussed the predictive accuracy of the least mean regression model and each quantile regression model, as a reference for research personnel. The analysis results showed that other variables could also affect the overall satisfaction performance of mainland tourists, in addition to occupation and age. The overall predictive accuracy of quantile regression model Q0.25 was higher than that of the other three models.

Econometric analysis of realised covariation: high frequency covariance, regression and correlation in financial economics

OpenAIRE

Ole E. Barndorff-Nielsen; Neil Shephard

2002-01-01

This paper analyses multivariate high frequency financial data using realised covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis and covariance. It will be based on a fixed interval of time (e.g. a day or week), allowing the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions and covariances change through time. In particular w...

Parental distress, parenting practices, and child adaptive outcomes following traumatic brain injury.

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Micklewright, Jackie L; King, Tricia Z; O'Toole, Kathleen; Henrich, Chris; Floyd, Frank J

2012-03-01

Moderate and severe pediatric traumatic brain injuries (TBI) are associated with significant familial distress and child adaptive sequelae. Our aim was to examine the relationship between parental psychological distress, parenting practices (authoritarian, permissive, authoritative), and child adaptive functioning 12-36 months following TBI or orthopedic injury (OI). Injury type was hypothesized to moderate the relationship between parental distress and child adaptive functioning, demonstrating a significantly stronger relationship in the TBI relative to OI group. Authoritarian parenting practices were hypothesized to mediate relationship between parental distress and child adaptive functioning across groups. Groups (TBI n = 21, OI n = 23) did not differ significantly on age at injury, time since injury, sex, race, or SES. Parents completed the Brief Symptom Inventory, Parenting Practices Questionnaire, and Vineland-II. Moderation and mediation hypotheses were tested using hierarchical multiple regression and a bootstrapping approach, respectively. Results supported moderation and revealed that higher parental psychological distress was associated with lower child adaptive functioning in the TBI group only. Mediation results indicated that higher parental distress was associated with authoritarian parenting practices and lower adaptive functioning across groups. Results suggest that parenting practices are an important area of focus for studies attempting to elucidate the relationship between parent and child functioning following TBI.

Prediction of radiation levels in residences: A methodological comparison of CART [Classification and Regression Tree Analysis] and conventional regression

International Nuclear Information System (INIS)

Janssen, I.; Stebbings, J.H.

1990-01-01

In environmental epidemiology, trace and toxic substance concentrations frequently have very highly skewed distributions ranging over one or more orders of magnitude, and prediction by conventional regression is often poor. Classification and Regression Tree Analysis (CART) is an alternative in such contexts. To compare the techniques, two Pennsylvania data sets and three independent variables are used: house radon progeny (RnD) and gamma levels as predicted by construction characteristics in 1330 houses; and ∼200 house radon (Rn) measurements as predicted by topographic parameters. CART may identify structural variables of interest not identified by conventional regression, and vice versa, but in general the regression models are similar. CART has major advantages in dealing with other common characteristics of environmental data sets, such as missing values, continuous variables requiring transformations, and large sets of potential independent variables. CART is most useful in the identification and screening of independent variables, greatly reducing the need for cross-tabulations and nested breakdown analyses. There is no need to discard cases with missing values for the independent variables because surrogate variables are intrinsic to CART. The tree-structured approach is also independent of the scale on which the independent variables are measured, so that transformations are unnecessary. CART identifies important interactions as well as main effects. The major advantages of CART appear to be in exploring data. Once the important variables are identified, conventional regressions seem to lead to results similar but more interpretable by most audiences. 12 refs., 8 figs., 10 tabs

Cultural concepts of parenting. A linguistic analysis

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Hentschel, Elke

2006-01-01

Full Text Available This study is part of a larger cross cultural research project on "parenting ethnotheories", where mothers of three months old infants were interviewed about their ideas on good parental care for small babies. They were confronted with picture cards, displaying different parenting behaviours from their own cultural community and were asked to comment on the appropriateness and inappropriateness of such behaviour. This paper addresses 40 of the German language interviews with a total 78,484 words. The central focus of this analysis is the frequency and distribution of modal particles as used in these interviews and as compared to two other corpora with a total of 60,000 words. The results indicate substantial differences with respect to the most frequently used particles, which can be explained by the attitudes of these women towards the particular topic being addressed in the interviews. The particle halt was used 17 times more often, whereas the usually very frequent doch was used 16 times less than usual. Based on the meaning of these particles in the German language, conclusions can be drawn concerning the more or less conscious representation of parenting ideas. The women interviewed regarded their ideas as unchangeable (as expressed in halt and are convinced that others share their worldview (as expressed in the low incidence of doch.

My older sibling was drunk - Younger siblings' drunkenness in relation to parental monitoring and the parent-adolescent relationship

NARCIS (Netherlands)

Gossrau-Breen, D.; Kuntsche, E.N.; Gmel, G.

2010-01-01

This study explored the links between having older siblings who get drunk, satisfaction with the parent adolescent relationship, parental monitoring, and adolescents' risky drinking. Regression models were conducted based on a national representative sample of 3725 8th to 10th graders in Switzerland

A rotor optimization using regression analysis

Science.gov (United States)

Giansante, N.

1984-01-01

The design and development of helicopter rotors is subject to the many design variables and their interactions that effect rotor operation. Until recently, selection of rotor design variables to achieve specified rotor operational qualities has been a costly, time consuming, repetitive task. For the past several years, Kaman Aerospace Corporation has successfully applied multiple linear regression analysis, coupled with optimization and sensitivity procedures, in the analytical design of rotor systems. It is concluded that approximating equations can be developed rapidly for a multiplicity of objective and constraint functions and optimizations can be performed in a rapid and cost effective manner; the number and/or range of design variables can be increased by expanding the data base and developing approximating functions to reflect the expanded design space; the order of the approximating equations can be expanded easily to improve correlation between analyzer results and the approximating equations; gradients of the approximating equations can be calculated easily and these gradients are smooth functions reducing the risk of numerical problems in the optimization; the use of approximating functions allows the problem to be started easily and rapidly from various initial designs to enhance the probability of finding a global optimum; and the approximating equations are independent of the analysis or optimization codes used.

Regression and local control rates after radiotherapy for jugulotympanic paragangliomas: Systematic review and meta-analysis

International Nuclear Information System (INIS)

Hulsteijn, Leonie T. van; Corssmit, Eleonora P.M.; Coremans, Ida E.M.; Smit, Johannes W.A.; Jansen, Jeroen C.; Dekkers, Olaf M.

2013-01-01

The primary treatment goal of radiotherapy for paragangliomas of the head and neck region (HNPGLs) is local control of the tumor, i.e. stabilization of tumor volume. Interestingly, regression of tumor volume has also been reported. Up to the present, no meta-analysis has been performed giving an overview of regression rates after radiotherapy in HNPGLs. The main objective was to perform a systematic review and meta-analysis to assess regression of tumor volume in HNPGL-patients after radiotherapy. A second outcome was local tumor control. Design of the study is systematic review and meta-analysis. PubMed, EMBASE, Web of Science, COCHRANE and Academic Search Premier and references of key articles were searched in March 2012 to identify potentially relevant studies. Considering the indolent course of HNPGLs, only studies with ⩾12 months follow-up were eligible. Main outcomes were the pooled proportions of regression and local control after radiotherapy as initial, combined (i.e. directly post-operatively or post-embolization) or salvage treatment (i.e. after initial treatment has failed) for HNPGLs. A meta-analysis was performed with an exact likelihood approach using a logistic regression with a random effect at the study level. Pooled proportions with 95% confidence intervals (CI) were reported. Fifteen studies were included, concerning a total of 283 jugulotympanic HNPGLs in 276 patients. Pooled regression proportions for initial, combined and salvage treatment were respectively 21%, 33% and 52% in radiosurgery studies and 4%, 0% and 64% in external beam radiotherapy studies. Pooled local control proportions for radiotherapy as initial, combined and salvage treatment ranged from 79% to 100%. Radiotherapy for jugulotympanic paragangliomas results in excellent local tumor control and therefore is a valuable treatment for these types of tumors. The effects of radiotherapy on regression of tumor volume remain ambiguous, although the data suggest that regression can

The Relationship Between Family Communication Patterns and Frequency and Intensity of Parent-Adolescent Conflict

Directory of Open Access Journals (Sweden)

خدیجه جعفرنژاد

2015-11-01

Full Text Available This study examined the role of family communication patterns (conversation and conformity orientation to predict frequency and intensity of parent adolescent conflict. Participants included 189 students (37 girls and 116 boys selected from Birjand high schools. The measures of study include Asadi Younsi Parent-Adolescent Conflict Questionnaire (2011 and Koerner and Fitzpatrick Revised Version of Family Communication Patterns Instrument (2002. Alpha Cronbach were calculated to examine reliability of the measures. Pearson’s correlation and regression analysis were performed for the data analysis. Results indicated: A conversation orientation was a negative predictor of intensity conflict in girls and boys; B conformity orientation was significant and positive predictor of intensity conflict in boys. Thus the importance of education in the field of adolescent behavior and interaction with parents and families to improve the quality of communication skills can be a deterrent in reducing conflicts between parents and Adolescents.

Robust analysis of trends in noisy tokamak confinement data using geodesic least squares regression

Energy Technology Data Exchange (ETDEWEB)

Verdoolaege, G., E-mail: geert.verdoolaege@ugent.be [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Laboratory for Plasma Physics, Royal Military Academy, B-1000 Brussels (Belgium); Shabbir, A. [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium); Max Planck Institute for Plasma Physics, Boltzmannstr. 2, 85748 Garching (Germany); Hornung, G. [Department of Applied Physics, Ghent University, B-9000 Ghent (Belgium)

2016-11-15

Regression analysis is a very common activity in fusion science for unveiling trends and parametric dependencies, but it can be a difficult matter. We have recently developed the method of geodesic least squares (GLS) regression that is able to handle errors in all variables, is robust against data outliers and uncertainty in the regression model, and can be used with arbitrary distribution models and regression functions. We here report on first results of application of GLS to estimation of the multi-machine scaling law for the energy confinement time in tokamaks, demonstrating improved consistency of the GLS results compared to standard least squares.

Meta-regression analysis of commensal and pathogenic Escherichia coli survival in soil and water.

Science.gov (United States)

Franz, Eelco; Schijven, Jack; de Roda Husman, Ana Maria; Blaak, Hetty

2014-06-17

The extent to which pathogenic and commensal E. coli (respectively PEC and CEC) can survive, and which factors predominantly determine the rate of decline, are crucial issues from a public health point of view. The goal of this study was to provide a quantitative summary of the variability in E. coli survival in soil and water over a broad range of individual studies and to identify the most important sources of variability. To that end, a meta-regression analysis on available literature data was conducted. The considerable variation in reported decline rates indicated that the persistence of E. coli is not easily predictable. The meta-analysis demonstrated that for soil and water, the type of experiment (laboratory or field), the matrix subtype (type of water and soil), and temperature were the main factors included in the regression analysis. A higher average decline rate in soil of PEC compared with CEC was observed. The regression models explained at best 57% of the variation in decline rate in soil and 41% of the variation in decline rate in water. This indicates that additional factors, not included in the current meta-regression analysis, are of importance but rarely reported. More complete reporting of experimental conditions may allow future inference on the global effects of these variables on the decline rate of E. coli.

Parent heparin and daughter LMW heparin correlation analysis using LC-MS and NMR

Energy Technology Data Exchange (ETDEWEB)

Liu, Xinyue, E-mail: liux22@rpi.edu [National Glycoengineering Research Center, Shandong Provincial Key Laboratory of Carbohydrate Chemistry and Glycobiology, State Key Laboratory of Microbial Technology, Shandong University, Jinan, Shandong, 250100 (China); Department of Chemistry and Chemical Biology, Department of Chemical and Biological Engineering, Department of Biology, Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180 (United States); St Ange, Kalib, E-mail: stangk2@rpi.edu [Department of Chemistry and Chemical Biology, Department of Chemical and Biological Engineering, Department of Biology, Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180 (United States); Wang, Xiaohua, E-mail: wangx35@rpi.edu [Department of Chemistry and Chemical Biology, Department of Chemical and Biological Engineering, Department of Biology, Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180 (United States); School of Computer and Information, Hefei University of Technology, Hefei (China); Lin, Lei, E-mail: Linl5@rpi.edu [Department of Chemistry and Chemical Biology, Department of Chemical and Biological Engineering, Department of Biology, Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180 (United States); Zhang, Fuming, E-mail: zhangf2@rpi.edu [Department of Chemistry and Chemical Biology, Department of Chemical and Biological Engineering, Department of Biology, Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180 (United States); and others

2017-04-08

Heparin is a structurally complex, polysaccharide anticoagulant derived from livestock, primarily porcine intestinal tissues. Low molecular weight (LMW) heparins are derived through the controlled partial depolymerization of heparin. Increased manufacturing and regulatory concerns have provided the motivation for the development of more sophisticated analytical methods for determining both their structure and pedigree. A strategy, for the comprehensive comparison of parent heparins and their LMW heparin daughters, is described that relies on the analysis of monosaccharide composition, disaccharide composition, and oligosaccharide composition. Liquid chromatography-mass spectrometry is rapid, robust, and amenable to automated processing and interpretation of both top-down and bottom-up analyses. Nuclear magnetic resonance spectroscopy provides complementary top-down information on the chirality of the uronic acid residues and glucosamine substitution. Principal component analysis (PCA) was applied to the normalized abundance of oligosaccharides, calculated in the bottom-up analysis, to show parent and daughter correlation in oligosaccharide composition. Using these approaches, six pairs of parent heparins and their daughter generic enoxaparins from two different manufacturers were comprehensively analyzed. Enoxaparin is the most widely used LMW heparin and is prepared through controlled chemical β-eliminative cleavage of porcine intestinal heparin. Lovenox{sup ®}, the innovator version of enoxaparin marketed in the US, was analyzed as a reference for the daughter LMW heparins. The results, show similarities between LMW heparins from two different manufacturers with Lovenox{sup ®}, excellent lot-to-lot consistency of products from each manufacturer, and detects a correlation between each parent heparin and daughter LMW heparin. - Highlights: • Low molecular weight heparins prepared from different heparin parents were analyzed. • An integrated analytical

Parent heparin and daughter LMW heparin correlation analysis using LC-MS and NMR

International Nuclear Information System (INIS)

Liu, Xinyue; St Ange, Kalib; Wang, Xiaohua; Lin, Lei; Zhang, Fuming

2017-01-01

Heparin is a structurally complex, polysaccharide anticoagulant derived from livestock, primarily porcine intestinal tissues. Low molecular weight (LMW) heparins are derived through the controlled partial depolymerization of heparin. Increased manufacturing and regulatory concerns have provided the motivation for the development of more sophisticated analytical methods for determining both their structure and pedigree. A strategy, for the comprehensive comparison of parent heparins and their LMW heparin daughters, is described that relies on the analysis of monosaccharide composition, disaccharide composition, and oligosaccharide composition. Liquid chromatography-mass spectrometry is rapid, robust, and amenable to automated processing and interpretation of both top-down and bottom-up analyses. Nuclear magnetic resonance spectroscopy provides complementary top-down information on the chirality of the uronic acid residues and glucosamine substitution. Principal component analysis (PCA) was applied to the normalized abundance of oligosaccharides, calculated in the bottom-up analysis, to show parent and daughter correlation in oligosaccharide composition. Using these approaches, six pairs of parent heparins and their daughter generic enoxaparins from two different manufacturers were comprehensively analyzed. Enoxaparin is the most widely used LMW heparin and is prepared through controlled chemical β-eliminative cleavage of porcine intestinal heparin. Lovenox"®, the innovator version of enoxaparin marketed in the US, was analyzed as a reference for the daughter LMW heparins. The results, show similarities between LMW heparins from two different manufacturers with Lovenox"®, excellent lot-to-lot consistency of products from each manufacturer, and detects a correlation between each parent heparin and daughter LMW heparin. - Highlights: • Low molecular weight heparins prepared from different heparin parents were analyzed. • An integrated analytical approach relied

Parental education and children's online health information seeking: beyond the digital divide debate.

Science.gov (United States)

Zhao, Shanyang

2009-11-01

Research has shown that increasing numbers of teenagers are going online to find health information, but it is unclear whether there are disparities in the prevalence of online health seeking among young Internet users associated with social and economic conditions. Existing literature on Internet uses by adults indicates that low income, less educated, and minority individuals are less likely to be online health seekers. Based on the analysis of data from the Pew Internet and American Life Project for the US, this study finds that teens of low education parents are either as likely as or even more likely than teens of high education parents to seek online health information. Multiple regression analysis shows that the higher engagement in health seeking by teens of low education parents is related to a lower prevalence of parental Internet use, suggesting that some of these teens may be seeking online health information on behalf of their low education parents. Implications of these findings are discussed in relation to the issues of the digital divide and digital empowerment.

Parenting stress and externalizing behavior symptoms in children: the impact of emotional reactivity.

Science.gov (United States)

Buodo, Giulia; Moscardino, Ughetta; Scrimin, Sara; Altoè, Gianmarco; Palomba, Daniela

2013-12-01

This study investigated whether the parenting stress-child externalizing behavior link is moderated by children's emotional reactivity, as indexed by skin conductance responses (SCRs). Participants were 61 children aged 9-12 years and their mothers. Mothers completed measures of parenting stress and their children's externalizing symptoms; children also reported on their externalizing behavior. Children's SCRs were assessed during the viewing of standardized pleasant, unpleasant, and neutral pictures. Cluster analysis on SCRs identified two groups, labeled Lower SCRs and Higher SCRs. Regression analyses indicated that among children with lower SCRs, those exposed to increased parenting stress reported more externalizing symptoms, whereas those who experienced low parenting stress reported similar rates of externalizing problems as children with higher SCRs. No effect of parenting stress emerged for children with higher SCRs. Findings suggest that higher parenting stress renders children with lower, as opposed to higher, SCRs to emotional stimuli more vulnerable to externalizing problems.

Perceived influence, decision-making and access to information in family services as factors of parental empowerment: a cross-sectional study of parents with young children.

Science.gov (United States)

Vuorenmaa, Maaret; Halme, Nina; Perälä, Marja-Leena; Kaunonen, Marja; Åstedt-Kurki, Päivi

2016-06-01

Parental empowerment is known to increase parents' resources and to reduce stress, and therefore to improve family well-being. Professionals working in family services (child health clinics, school health care, day care, preschool and primary school) encounter families in various everyday settings and can significantly support parental empowerment. This study aimed (i) to identify associations between parental empowerment and demographic and family service characteristics (i.e. parents' participation and perceived influence, decision-making and access to information) and (ii) to identify predictors of maternal and paternal empowerment. Study design was cross-sectional. Participants were mothers (n = 571) and fathers (n = 384) of children aged 0-9 who were selected by stratified random sampling in 2009. Associations were analysed by t-test, one-way analysis of variance and multiple linear regression analysis. Sufficient perceived influence and joint decision-making by family and professionals on family service appointments emerged as significant variables of increased parental empowerment. Access to adequate information about municipal services was also associated with high empowerment. These family service characteristics were associated with parents' sense that they were able to manage in everyday life and had influence on specific service situations and family services in general. Mothers with a child aged under 3 or a child in home care or primary school, and fathers with a lower education feel less empowered in family services than other parents. Knowledge about the factors associated with parental empowerment can contribute to further reinforce parental empowerment, help identify parents who need special attention and contribute to the development of family services. © 2015 Nordic College of Caring Science.

Development of Physical Activity-Related Parenting Practices Scales for Urban Chinese Parents of Preschoolers: Confirmatory Factor Analysis and Reliability.

Science.gov (United States)

Suen, Yi-Nam; Cerin, Ester; Barnett, Anthony; Huang, Wendy Y J; Mellecker, Robin R

2017-09-01

Valid instruments of parenting practices related to children's physical activity (PA) are essential to understand how parents affect preschoolers' PA. This study developed and validated a questionnaire of PA-related parenting practices for Chinese-speaking parents of preschoolers in Hong Kong. Parents (n = 394) completed a questionnaire developed using findings from formative qualitative research and literature searches. Test-retest reliability was determined on a subsample (n = 61). Factorial validity was assessed using confirmatory factor analysis. Subscale internal consistency was determined. The scale of parenting practices encouraging PA comprised 2 latent factors: Modeling, structure and participatory engagement in PA (23 items), and Provision of appropriate places for child's PA (4 items). The scale of parenting practices discouraging PA scale encompassed 4 latent factors: Safety concern/overprotection (6 items), Psychological/behavioral control (5 items), Promoting inactivity (4 items), and Promoting screen time (2 items). Test-retest reliabilities were moderate to excellent (0.58 to 0.82), and internal subscale reliabilities were acceptable (0.63 to 0.89). We developed a theory-based questionnaire for assessing PA-related parenting practices among Chinese-speaking parents of Hong Kong preschoolers. While some items were context and culture specific, many were similar to those previously found in other populations, indicating a degree of construct generalizability across cultures.

Parent and child physical activity and sedentary time: Do active parents foster active children?

Directory of Open Access Journals (Sweden)

Brockman Rowan

2010-04-01

Full Text Available Abstract Background Physical activity has many positive effects on children's health while TV viewing has been associated with adverse health outcomes. Many children do not meet physical activity recommendations and exceed TV viewing guidelines. Parents are likely to be an important influence on their children's behaviour. There is an absence of information about the associations between parents' and children's physical activity and TV viewing. Methods Year 6 children and their parent were recruited from 40 primary schools. Results are presented for the 340 parent-child dyads with accelerometer data that met a ≥ 3 day inclusion criteria and the 431 parent-child dyads with complete self-reported TV viewing. Over 80% of the dyads with valid TV viewing data included mothers and their child. Mean minutes of moderate to vigorous physical activity (MVPA, minutes of sedentary time per day and counts per minute were assessed by accelerometer. Self-reported hours of TV viewing were coded into 3 groups (4 hours per day. Linear and multi-nominal regression models were run by child gender to examine parent-child associations. Results In linear regression models there was an association for the overall sedentary time of girls and their parents (t = 2.04. p = .020 but there was no association between girls' and parents' physical activity. There were no associations between parents' and boys' sedentary or physical activity time. For girls, the risk of watching more than 4 hours of TV per day, (reference = 2 hours of TV per day, was 3.67 times higher if the girl's parent watched 2-4 hours of TV per day (p = 0.037. For boys, the risk of watching more than 4 hours of TV per day, was 10.47 times higher if the boy's parent watched more than 4 hours of TV per day (p = 0.038. Conclusions There are associations in the sedentary time of parents and daughters. Higher parental TV viewing was associated with an increased risk of high levels of TV viewing for both boys

Parent and child physical activity and sedentary time: do active parents foster active children?

Science.gov (United States)

Jago, Russell; Fox, Kenneth R; Page, Angie S; Brockman, Rowan; Thompson, Janice L

2010-04-15

Physical activity has many positive effects on children's health while TV viewing has been associated with adverse health outcomes. Many children do not meet physical activity recommendations and exceed TV viewing guidelines. Parents are likely to be an important influence on their children's behaviour. There is an absence of information about the associations between parents' and children's physical activity and TV viewing. Year 6 children and their parent were recruited from 40 primary schools. Results are presented for the 340 parent-child dyads with accelerometer data that met a > or = 3 day inclusion criteria and the 431 parent-child dyads with complete self-reported TV viewing. Over 80% of the dyads with valid TV viewing data included mothers and their child. Mean minutes of moderate to vigorous physical activity (MVPA), minutes of sedentary time per day and counts per minute were assessed by accelerometer. Self-reported hours of TV viewing were coded into 3 groups (4 hours per day. Linear and multi-nominal regression models were run by child gender to examine parent-child associations. In linear regression models there was an association for the overall sedentary time of girls and their parents (t = 2.04. p = .020) but there was no association between girls' and parents' physical activity. There were no associations between parents' and boys' sedentary or physical activity time. For girls, the risk of watching more than 4 hours of TV per day, (reference = 2 hours of TV per day), was 3.67 times higher if the girl's parent watched 2-4 hours of TV per day (p = 0.037). For boys, the risk of watching more than 4 hours of TV per day, was 10.47 times higher if the boy's parent watched more than 4 hours of TV per day (p = 0.038). There are associations in the sedentary time of parents and daughters. Higher parental TV viewing was associated with an increased risk of high levels of TV viewing for both boys and girls. There were no associations between the time that

Parental Influences, Career Decision-Making Attributions, and Self-Efficacy: Differences for Men and Women?

Science.gov (United States)

Lease, Suzanne H.; Dahlbeck, David T.

2009-01-01

This study investigated the relations of maternal and paternal attachment, parenting styles, and career locus of control to college students' career decision self-efficacy and explored whether these relations differed by student gender. Data analysis using hierarchical multiple regression revealed that attachment was relevant for females' career…

Child behaviour problems, parenting behaviours and parental adjustment in mothers and fathers in Sweden.

Science.gov (United States)

Salari, Raziye; Wells, Michael B; Sarkadi, Anna

2014-11-01

We aim to examine the relationship between child behavioural problems and several parental factors, particularly parental behaviours as reported by both mothers and fathers in a sample of preschool children in Sweden. Participants were mothers and fathers of 504 3- to 5-year-olds that were recruited through preschools. They completed a set of questionnaires including the Eyberg Child Behavior Inventory, Parenting Sense of Competence Scale, Parenting Scale, Parent Problem Checklist, Dyadic Adjustment Scale and Depression Anxiety Stress Scale. Correlational analyses showed that parent-reported child behaviour problems were positively associated with ineffective parenting practices and interparental conflicts and negatively related to parental competence. Regression analyses showed that, for both mothers and fathers, higher levels of parental over-reactivity and interparental conflict over child-rearing issues and lower levels of parental satisfaction were the most salient factors in predicting their reports of disruptive child behaviour. This study revealed that swedish parents' perceptions of their parenting is related to their ratings of child behaviour problems which therefore implies that parent training programs can be useful in addressing behavioural problems in Swedish children. © 2014 the Nordic Societies of Public Health.

Determinants of Parent Involvement in Romanian Schools

OpenAIRE

Diana Damean

2010-01-01

The paper is focused on exploring the factors that facilitate parent involvement in their child’s education and school life. A sample of 670 Romanian school principals from the Cross-National Survey of School Principals in South East Europe (SEE) countries 2008 was used. Two-step linear regressions were run in order to predict parent participation in school meetings, parent engagement in school activities and parent influence in school governance, as reported by school principals. The results...

Parenting approaches and digital technology use of preschool age children in a Chinese community.

Science.gov (United States)

Wu, Cynthia Sau Ting; Fowler, Cathrine; Lam, Winsome Yuk Yin; Wong, Ho Ting; Wong, Charmaine Hei Man; Yuen Loke, Alice

2014-05-07

Young children are using digital technology (DT) devices anytime and anywhere, especially with the invention of smart phones and the replacement of desktop computers with digital tablets. Although research has shown that parents play an important role in fostering and supporting preschoolers' developing maturity and decisions about DT use, and in protecting them from potential risk due to excessive DT exposure, there have been limited studies conducted in Hong Kong focusing on parent-child DT use. This study had three objectives: 1) to explore parental use of DTs with their preschool children; 2) to identify the DT content that associated with child behavioral problems; and 3) to investigate the relationships between approaches adopted by parents to control children's DT use and related preschooler behavioral problems. This exploratory quantitative study was conducted in Hong Kong with 202 parents or guardians of preschool children between the ages of 3 and 6 attending kindergarten. The questionnaire was focused on four aspects, including 1) participants' demographics; 2) pattern of DT use; 3) parenting approach to manage the child's DT use; and 4) child behavioral and health problems related to DT use. Multiple regression analysis was adopted as the main data analysis method for identifying the DT or parental approach-related predictors of the preschooler behavioral problems. In the multiple linear regression model, the 'restrictive approach score' was the only predictor among the three parental approaches (B:1.66, 95% CI: [0.21, 3.11], p children also significantly increased the tendency of children to have behavioral problem (B:3.84, 95% CI: [1.66, 6.02], p children's cognitive and functional abilities are still in the developmental stage, parents play a crucial role in fostering appropriate and safe DT use. It is suggested that parents practice a combination of restrictive, instructive and co-using approaches, rather than a predominately restrictive

Vector regression introduced

Directory of Open Access Journals (Sweden)

Mok Tik

2014-06-01

Full Text Available This study formulates regression of vector data that will enable statistical analysis of various geodetic phenomena such as, polar motion, ocean currents, typhoon/hurricane tracking, crustal deformations, and precursory earthquake signals. The observed vector variable of an event (dependent vector variable is expressed as a function of a number of hypothesized phenomena realized also as vector variables (independent vector variables and/or scalar variables that are likely to impact the dependent vector variable. The proposed representation has the unique property of solving the coefficients of independent vector variables (explanatory variables also as vectors, hence it supersedes multivariate multiple regression models, in which the unknown coefficients are scalar quantities. For the solution, complex numbers are used to rep- resent vector information, and the method of least squares is deployed to estimate the vector model parameters after transforming the complex vector regression model into a real vector regression model through isomorphism. Various operational statistics for testing the predictive significance of the estimated vector parameter coefficients are also derived. A simple numerical example demonstrates the use of the proposed vector regression analysis in modeling typhoon paths.

Parental Socioeconomic Status or IQ? An Exploration of Major Determinants of U.S. Poverty

OpenAIRE

Smith, Dillon Montgomery

2018-01-01

The Bell Curve by Charles Murray and Richard Herrnstein is one of the most controversial academic works of the last few decades. Using data from the National Longitudinal Survey of Youths (1979), we performed a number of regressions of poverty status in 1989 on parental socioeconomic status, IQ, race, sex, and age. We replicate their results which show that IQ is a more important predictor of poverty status than parental socioeconomic status (SES). We extend their analysis to other groupings ...

Parental age in relation to severity of clefting

DEFF Research Database (Denmark)

Hermann, Nuno Vibe; Darvann, Tron Andre; Kreiborg, Sven

2016-01-01

Lip and/or Palate (IC). Wilcoxon Rank-Sum test (5% significance level) was applied in order to test for group differences. Standard logistic regression was used in order to estimate the risk of developing CC relative to IC. Results. In the group with CC mean paternal age was 29.5+/-4.5 (1SD) years...... parental ages in the group with IC did not differ from normative population values during the same time period. Logistic regression showed for paternal age OR=1.1[1.04,1.16](Wald confidence limits); for maternal age 1.08[1.01,1.15]. Conclusions. The hypothesis was rejected. Parental age was significantly...... of cleft individuals, as well as to compare parental age in the cleft population with normative values of parental age. It was hypothesized that there was no difference in parental age between the cleft groups with incomplete and complete clefts, respectively. Methods/Descriptions. The consecutive non...

Do the parent-child relationship and parenting behaviors differ between families with a child with and without chronic illness? A meta-analysis.

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Pinquart, Martin

2013-08-01

The present meta-analysis compared the quality of the parent-child relationship as well as parenting behaviors and styles of families with a child with chronic physical illness with families of healthy children or test norms. Empirical studies were identified with the help of electronic databases and cross-referencing. Based on 325 included studies, random-effects meta-analysis was performed. Although most effect sizes were small or very small, the parent-child relationship tended to be less positive if a child had a chronic physical illness (g = -.16 standard deviation units). In addition, lower levels of parental responsiveness (emotional warmth; g = -.22) as well as higher levels of demandingness (control, monitoring; g = .18) and overprotection (g = .39) were observed in these families. However, effect sizes were heterogeneous and only significant for a limited number of diseases. There was also some evidence for higher levels of authoritarian (g = .24) and neglectful parenting (g = .51) as well as lower levels of authoritative parenting compared with families with healthy children (g = -.13). Effect sizes varied, in part, by length of illness, child age, rater, assessment method, and target of comparison. We conclude that most families with a child with chronic physical illness adapt well with regard to the parent-child relationship and parenting behaviors/styles. Nonetheless, some families of children with specific diseases-such as epilepsy, hearing impairment, and asthma-may have difficulties finding appropriate levels of protective behaviors, control, and parental warmth and building positive mutual relationships between parents and children.

Parenting stress, anxiety, and depression in mothers with visually impaired infants: a cross-sectional and longitudinal cohort analysis.

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Sakkalou, Elena; Sakki, Hanna; O'reilly, Michelle A; Salt, Alison T; Dale, Naomi J

2018-03-01

This study examined cross-sectional and longitudinal patterns of parenting stress, adult anxiety, and depression in mothers of children with profound or severe visual impairment (PVI or SVI) at 1 year and 2 years of age. Mothers of a national longitudinal cohort (OPTIMUM Project) of infants with congenital disorders of the peripheral visual system and PVI (light perception at best) or SVI (basic 'form' vision of non-light reflecting objects) participated. Infant age at baseline (T 1 ) was 8 to 16 months. Mothers completed the Parenting Stress Index - Short Form and the Hospital Anxiety and Depression Scale at T 1 (n=79) and at follow-up 12 months later (T 2 ) (n=73). Mothers of the total group had higher parenting stress levels (34.6% in clinical range) than community normative data at T 1 (p=0.017). Mothers of infants in the PVI subgroup had elevated stress at T 1 (p=0.014) and T 2 (p=0.009). The PVI subgroup was also elevated in the Difficult Child subscale at T 2 (p=0.001). Within-sample differences in parenting stress between the visual impairment subgroups were found at T 2 only: the PVI subgroup scored higher than the SVI subgroup (p=0.029). Adult anxiety and depression in the total group were not elevated compared with community normative data at T 1 and T 2 ; however, higher parenting stress was related to raised adult anxiety and depression levels at T 1 and T 2 (p=0.001). Regression analysis found parenting stress and lower child vision level (T 1 ) predicted parenting stress (T 2 ) (p=0.001; 42% variance). Mothers of 1-year-old infants with visual impairment showed raised risk for parenting stress, which continued to be elevated for children with PVI and those perceived as 'difficult' at 2 years. This was also a psychological risk, with greater adult anxiety and depression in those mothers with raised parenting stress. The clinical significance is that identification of parenting stress and targeted parenting, and behavioural support of the child in

Parent-youth communication and concordance between parents and adolescents on reported engagement in social relationships and sexually intimate behaviors in Ha Noi and Khanh Hoa Province, Viet Nam

Science.gov (United States)

Kaljee, Linda M.; Green, Mackenzie; Lerdboon, Porntip; Riel, Rosemary; Pham, Van; Tho, Le Huu; Ha, Nguyen T; Minh, Truong Tan; Li, Xiaoming; Chen, Xinguang; Stanton, Bonita

2010-01-01

Purpose Parent-child communication is associated with positive outcomes for youths’ engagement in sexual behaviors. Limited data are available regarding parent-child communication in transitional countries. We present data from Vietnamese parent-youth dyads on parent reproductive health knowledge, comfort of communication, frequency of talk, and discordancy between youths’ reported and parents’ perceptions for engagement in relationships and sexually intimate behaviors. Methods 185 randomly selected parent-youth dyads in four communes in Ha Noi and Khanh Hoa Province. Descriptive and comparative analysis included chi-square tests, independent samples t-tests, and ANOVA. Linear regression analysis was utilized to assess relationships between parental knowledge, level of comfort, frequency of talk, and discordancy. Results Seventy-six percent of parents and 44% of youth were female. Youth mean age was 17.2 years. For parental “reproductive health knowledge” mean score was 24.74 (SD 3.84: range 15–34). Lower parental reproductive health knowledge was positively associated with lower levels of education [F=2.983, df 184: p=0.014]. Data indicate a linear model in which knowledge is related to “comfort” (β =0.17; p=0.048) and “comfort” to frequency of “talk” (β =0.6; psexual touching (β =0.57; p=0.60). Conclusions Parent and youth in Viet Nam are engaged in limited communication about reproductive health. There is need for more data to assess the impact of these communication patterns on youths’ engagement in sexual behaviors and for development of family-centered interventions to increase parental knowledge and skills for positive communication. PMID:21338898

Repeated Results Analysis for Middleware Regression Benchmarking

Czech Academy of Sciences Publication Activity Database

Bulej, Lubomír; Kalibera, T.; Tůma, P.

2005-01-01

Roč. 60, - (2005), s. 345-358 ISSN 0166-5316 R&D Projects: GA ČR GA102/03/0672 Institutional research plan: CEZ:AV0Z10300504 Keywords : middleware benchmarking * regression benchmarking * regression testing Subject RIV: JD - Computer Applications, Robotics Impact factor: 0.756, year: 2005

Parent-adolescent dyads: association of parental autonomy support and parent-adolescent shared diabetes care responsibility.

Science.gov (United States)

Hanna, K M; Dashiff, C J; Stump, T E; Weaver, M T

2013-09-01

Parent-adolescent shared responsibility for diabetes care is advocated by experts to achieve beneficial diabetes and psychosocial outcomes for adolescents with type 1 diabetes. Parental autonomy support may be a way to facilitate this sharing. In this dyadic study, we examined parental diabetes-specific autonomy support experienced by adolescents with type 1 diabetes and their parents (n = 89 dyads), and its association with their experience of shared diabetes care responsibility. Path analysis was used to test an Actor-Partner Interdependence Model for parental autonomy support effects on shared responsibility. This was a secondary analysis of data from 89 parent-early/mid-adolescent dyads. Actor effects were identified. Parents' and adolescents' perceptions of parental autonomy support were associated with their respective reports of shared diabetes care responsibility. One partner effect was identified. Adolescents' reports of parental autonomy support were associated with parents' reports of shared responsibility. Parents and adolescents held similar views of autonomy support but discrepant views of shared responsibility. Older adolescents perceived less parental autonomy support. Increasing parental autonomy support may facilitate parent-adolescent sharing of diabetes care responsibility. Adolescent and parent perceptions influence each other and need to be considered when working with them to strengthen parental autonomy support. © 2012 John Wiley & Sons Ltd.

Meta-Analysis of Parent-Mediated Interventions for Young Children with Autism Spectrum Disorder

Science.gov (United States)

Nevill, Rose E.; Lecavalier, Luc; Stratis, Elizabeth A.

2018-01-01

A number of studies of parent-mediated interventions in autism spectrum disorder have been published in the last 15 years. We reviewed 19 randomized clinical trials of parent-mediated interventions for children with autism spectrum disorder between the ages of 1 and 6 years and conducted a meta-analysis on their efficacy. Meta-analysis outcomes…

Bayesian Analysis for Penalized Spline Regression Using WinBUGS

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Ciprian M. Crainiceanu

2005-09-01

Full Text Available Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression. Bayesian inference for nonparametric models enjoys the flexibility of nonparametric models and the exact inference provided by the Bayesian inferential machinery. This paper provides a simple, yet comprehensive, set of programs for the implementation of nonparametric Bayesian analysis in WinBUGS. Good mixing properties of the MCMC chains are obtained by using low-rank thin-plate splines, while simulation times per iteration are reduced employing WinBUGS specific computational tricks.

Prediction of Internet Addiction and Social Anxiety Based on Parenting Styles in Adolescents of Sabzevar, Iran

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Elahe Sadat Tabatabaeirad

2017-03-01

Full Text Available Background and Objectives: Parenting styles are one of the most important factors in shaping adolescents’ behaviors and personality. Therefore, we aimed to predict internet addiction and social anxiety based on parenting styles. Materials and Methods: This descriptive and correlational study was performed in 400 high school students of Sabzevar, Iran, in 2015. The participants were selected using multi-stage cluster sampling method. The data were collected using Yang’s Internet Addiction Test (IAT, Social Anxiety Scale (SAS-A, and Baumrind’s Parenting Styles Questionnaire. To analyze the data, Pearson correlation coefficient and multiple regression were run in SPSS, version 22. Results: We found a significant positive correlation between the authoritarian and permissive parenting styles and Internet addiction (r=0.102, r=0.210, respectively and social anxiety (r=0.576, r=0.517, respectively. Moreover, a significant negative correlation was observed between the authoritative parenting style and Internet addiction and social anxiety (r= -0.291 and r= -0.263, respectively. In addition, multiple regression analysis reflected that the parenting styles could predict Internet addiction and social anxiety, and they explained respectively 39% and 35% of the variance. Conclusions: According to the results, adopting proper educational methods and implementing practical plans can predict Internet addiction and improve positive relationships among individuals.

Fish egg size: a characteristic determined by parental care

Directory of Open Access Journals (Sweden)

Rosana RM Mazzoni

2015-12-01

the measured eggs. From these data, we calculated the average egg volume for each species. We analyzed the dataset using logistic regression analysis as follows: logit (Y = ln[(π/(1- π] = α + βX (Equation 1. Taking the antilog of the Equation 1 on both sides we derives an equation as follows: π=e^(α+βx/〖1+e〗^(α+βx where π = the probability of the outcome of interest, Y = the outcome of interest (PC = 1.0; NPC = 0, the continuous variable X = the egg volume (the predictor variable, α is the Y intercept, and β is the regression coefficient. The logistic regression analysis was carried out by the Logistic procedure in SPSS version 20. The results of our study favor the first hypothesis. We further demonstrate that the distribution of egg volume is bimodal, with one mode found within the group of parental care (PC species and the second mode found within the group of non-parental care (NPC species. We suggest that natural selection acts differently on PC and NPC species. Among the NPC species the strength of selection reduces the variability of egg size, while for PC species selection favors the high variability in egg size (Figure 1. Ignoring this differential action of natural selection could be the cause of misleading interpretation about the evolution of important life history features of fish species.

Forecasting municipal solid waste generation using prognostic tools and regression analysis.

Science.gov (United States)

Ghinea, Cristina; Drăgoi, Elena Niculina; Comăniţă, Elena-Diana; Gavrilescu, Marius; Câmpean, Teofil; Curteanu, Silvia; Gavrilescu, Maria

2016-11-01

For an adequate planning of waste management systems the accurate forecast of waste generation is an essential step, since various factors can affect waste trends. The application of predictive and prognosis models are useful tools, as reliable support for decision making processes. In this paper some indicators such as: number of residents, population age, urban life expectancy, total municipal solid waste were used as input variables in prognostic models in order to predict the amount of solid waste fractions. We applied Waste Prognostic Tool, regression analysis and time series analysis to forecast municipal solid waste generation and composition by considering the Iasi Romania case study. Regression equations were determined for six solid waste fractions (paper, plastic, metal, glass, biodegradable and other waste). Accuracy Measures were calculated and the results showed that S-curve trend model is the most suitable for municipal solid waste (MSW) prediction. Copyright © 2016 Elsevier Ltd. All rights reserved.

Parents' perceptions of skin cancer threat and children's physical activity.

Science.gov (United States)

Tran, Alexander D; Aalborg, Jenny; Asdigian, Nancy L; Morelli, Joseph G; Mokrohisky, Stefan T; Dellavalle, Robert P; Berwick, Marianne; Box, Neil F; Crane, Lori A

2012-01-01

Sun exposure is a major risk factor for skin cancer, but without physical activity, children are at risk of childhood obesity. The objective of this study was to explore relationships between parental perceptions of skin cancer threat, sun protection behaviors, physical activity, and body mass index (BMI) in children. This is a cross-sectional analysis nested within the Colorado Kids Sun Care Program sun safety intervention trial. In summer 2007, parent telephone interviews provided data on demographics, perceptions of skin cancer threat, sun protection behaviors, and physical activity. Physical examinations provided data on phenotype, freckling, and BMI. Data from 999 Colorado children born in 1998 were included in analysis. We used analysis of variance, Spearman's rho (ρ) correlation, and multivariable linear regression analysis to evaluate relationships with total amount of outdoor physical activity. After controlling for sex, race/ethnicity, skin color, and sun protection, regression analysis showed that each unit increase in perceived severity of nonmelanoma skin cancer was associated with a 30% increase in hours of outdoor physical activity (P = .005). Hours of outdoor physical activity were not related to perceived severity of melanoma or perceived susceptibility to skin cancer. BMI-for-age was not significantly correlated with perceptions of skin cancer threat, use of sun protection, or level of physical activity. The promotion of sun safety is not likely to inhibit physical activity. Skin cancer prevention programs should continue to promote midday sun avoidance and sun protection during outdoor activities.

Testing specificity among parents' depressive symptoms, parenting, and child internalizing and externalizing symptoms.

Science.gov (United States)

Gruhn, Meredith A; Dunbar, Jennifer P; Watson, Kelly H; Reising, Michelle M; McKee, Laura; Forehand, Rex; Cole, David A; Compas, Bruce E

2016-04-01

The present study examined the specificity in relations between observed withdrawn and intrusive parenting behaviors and children's internalizing and externalizing symptoms in an at-risk sample of children (ages 9 to 15 years old) of parents with a history of depression (N = 180). Given past findings that parental depression and parenting behaviors may differentially impact boys and girls, gender was examined as a moderator of the relations between these factors and child adjustment. Correlation and linear regression analyses showed that parental depressive symptoms were significantly related to withdrawn parenting for parents of boys and girls and to intrusive parenting for parents of boys only. When controlling for intrusive parenting, preliminary analyses demonstrated that parental depressive symptoms were significantly related to withdrawn parenting for parents of boys, and this association approached significance for parents of girls. Specificity analyses yielded that, when controlling for the other type of problem (i.e., internalizing or externalizing), withdrawn parenting specifically predicted externalizing problems but not internalizing problems in girls. No evidence of specificity was found for boys in this sample, suggesting that impaired parenting behaviors are diffusely related to both internalizing and externalizing symptoms for boys. Overall, results highlight the importance of accounting for child gender and suggest that targeting improvement in parenting behaviors and the reduction of depressive symptoms in interventions with parents with a history of depression may have potential to reduce internalizing and externalizing problems in this high-risk population. (c) 2016 APA, all rights reserved).

Development of Compressive Failure Strength for Composite Laminate Using Regression Analysis Method

Energy Technology Data Exchange (ETDEWEB)

Lee, Myoung Keon [Agency for Defense Development, Daejeon (Korea, Republic of); Lee, Jeong Won; Yoon, Dong Hyun; Kim, Jae Hoon [Chungnam Nat’l Univ., Daejeon (Korea, Republic of)

2016-10-15

This paper provides the compressive failure strength value of composite laminate developed by using regression analysis method. Composite material in this document is a Carbon/Epoxy unidirection(UD) tape prepreg(Cycom G40-800/5276-1) cured at 350°F(177°C). The operating temperature is –60°F~+200°F(-55°C - +95°C). A total of 56 compression tests were conducted on specimens from eight (8) distinct laminates that were laid up by standard angle layers (0°, +45°, –45° and 90°). The ASTM-D-6484 standard was used for test method. The regression analysis was performed with the response variable being the laminate ultimate fracture strength and the regressor variables being two ply orientations (0° and ±45°)

Development of Compressive Failure Strength for Composite Laminate Using Regression Analysis Method

International Nuclear Information System (INIS)

Lee, Myoung Keon; Lee, Jeong Won; Yoon, Dong Hyun; Kim, Jae Hoon

2016-01-01

This paper provides the compressive failure strength value of composite laminate developed by using regression analysis method. Composite material in this document is a Carbon/Epoxy unidirection(UD) tape prepreg(Cycom G40-800/5276-1) cured at 350°F(177°C). The operating temperature is –60°F~+200°F(-55°C - +95°C). A total of 56 compression tests were conducted on specimens from eight (8) distinct laminates that were laid up by standard angle layers (0°, +45°, –45° and 90°). The ASTM-D-6484 standard was used for test method. The regression analysis was performed with the response variable being the laminate ultimate fracture strength and the regressor variables being two ply orientations (0° and ±45°)

Standards for Standardized Logistic Regression Coefficients

Science.gov (United States)

Menard, Scott

2011-01-01

Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to construct standardized logistic regression coefficients, there is now sufficient evidence to suggest a single best approach to the construction of a…

[Behavioral phenotypes of autism spectrum disorder patients and their parents].

Science.gov (United States)

Situ, Mingjing; Hu, Xiao; Cai, Jia; Guo, Kuifang; Huang, Yi

2015-12-01

To explore the relationship between the behavior phenotypes of patients with autism spectrum disorder (ASD) and their parents through family study. Forty-five core families with ASD and 30 control families from Chengdu area were examined using Autism Spectrum Quotient (AQ). Descriptive statistical analysis, correlation analysis, and Logistic regression analysis were used to investigate the effect of various factors, especially genetic factors that may affect the pathogenesis of ASD. The social skills factor and communication factor of the father's AQ scale, as well as the mother's age of childbearing and AQ social skills factor are related to whether children with ASD (R were 0.46, 0.39, 0.39 and 0.36, Pautism. ASD may be influenced by both genetic and environmental factors. The autistic behavior phenotype of parents is a risk factor for ASD and is associated with developmental anomalies of early childhood.

CADDIS Volume 4. Data Analysis: PECBO Appendix - R Scripts for Non-Parametric Regressions

Science.gov (United States)

Script for computing nonparametric regression analysis. Overview of using scripts to infer environmental conditions from biological observations, statistically estimating species-environment relationships, statistical scripts.

Healthy Living Behaviors Among Chinese-American Preschool-Aged Children: Results of a Parent Survey.

Science.gov (United States)

Chomitz, Virginia Rall; Brown, Alison; Lee, Victoria; Must, Aviva; Chui, Kenneth Kwan Ho

2017-07-17

Associations between diet, physical activity, parenting, and acculturation among Chinese-American children are understudied. Parents/caregivers of children attending child-care programs in Boston Chinatown completed a self-administered survey on demographics, child's diet, physical activities, anthropometrics, and parenting practices. Associations were evaluated in multivariable regression analysis, stratified by survey language preference, a proxy for acculturation. Responding Asian families = 132; 86.4% were immigrants; 75.8% completed the Chinese-version survey. Children (mean ± SD: 4.9 ± 1.1 years) did not eat vegetables (31.8%), or play actively outside (45.4%) daily, 64.8% watched television/screens daily; 32.6% were overweight/obese (based on parent report). Parenting practices associated with obesity were apparent. Although healthy-living behavioral outcomes were less prevalent among less acculturated parents; multivariable adjustment attenuated the observed significant differences. Findings suggest opportunities for improvement in study children's diet and healthy-living behaviors, and underscore the need for further research on acculturation, and parenting styles in this population.

Parental communication and psychosis: a meta-analysis.

Science.gov (United States)

de Sousa, Paulo; Varese, Filippo; Sellwood, William; Bentall, Richard P

2014-07-01

Parental communication deviance (CD) has long been suggested as a potential risk factor for the development of psychosis and thought disorder in genetically sensitive offspring. However, the findings of the studies on the prevalence of CD in parents of psychotic patients have never been submitted to quantitative synthesis. PsycINFO was searched from January 1959 to January 2012 for studies on the prevalence of CD in parents of psychotic patients. This search was supplemented with the results from a much larger systematic search (PsycINFO, PubMed, EMBASE, and Web of Science) on childhood trauma and psychosis. A total of 20 retrieved studies (n = 1753 parents) yielded a pooled g of large magnitude (0.97; 95% CI [0.76; 1.18]) with a significant amount of heterogeneity (Q = 33.63; P = .014; I (2) = 46.47). Subgroup and sensitivity analysis of methodological features (study's design, comparison group, diagnostic criteria, CD rating method, inter-rater reliability not reported, year of publication, and verbosity) and demographic characteristics (level of education or offspring's age) revealed that pooled effect size was stable and unlikely to have been affected by these features. CD is highly prevalent in parents of psychotic offspring. This is discussed in the broader context of adoption and longitudinal studies that have reported a G × E interaction in the development of psychosis and thought disorder. A potential developmental mechanism is suggested to explain how CD may affect the developing offspring. The importance of further studies on CD and its potential value as a clinical concept are discussed. © The Author 2013. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Aneurysmal subarachnoid hemorrhage prognostic decision-making algorithm using classification and regression tree analysis.

Science.gov (United States)

Lo, Benjamin W Y; Fukuda, Hitoshi; Angle, Mark; Teitelbaum, Jeanne; Macdonald, R Loch; Farrokhyar, Forough; Thabane, Lehana; Levine, Mitchell A H

2016-01-01

Classification and regression tree analysis involves the creation of a decision tree by recursive partitioning of a dataset into more homogeneous subgroups. Thus far, there is scarce literature on using this technique to create clinical prediction tools for aneurysmal subarachnoid hemorrhage (SAH). The classification and regression tree analysis technique was applied to the multicenter Tirilazad database (3551 patients) in order to create the decision-making algorithm. In order to elucidate prognostic subgroups in aneurysmal SAH, neurologic, systemic, and demographic factors were taken into account. The dependent variable used for analysis was the dichotomized Glasgow Outcome Score at 3 months. Classification and regression tree analysis revealed seven prognostic subgroups. Neurological grade, occurrence of post-admission stroke, occurrence of post-admission fever, and age represented the explanatory nodes of this decision tree. Split sample validation revealed classification accuracy of 79% for the training dataset and 77% for the testing dataset. In addition, the occurrence of fever at 1-week post-aneurysmal SAH is associated with increased odds of post-admission stroke (odds ratio: 1.83, 95% confidence interval: 1.56-2.45, P tree was generated, which serves as a prediction tool to guide bedside prognostication and clinical treatment decision making. This prognostic decision-making algorithm also shed light on the complex interactions between a number of risk factors in determining outcome after aneurysmal SAH.

An Investigation of the Factors Related to Low Parent-Adolescent Attachment Security in Taiwan.

Science.gov (United States)

Chen, Chen-Jung; Sung, Huei-Chuan; Chen, Yi-Chang; Wang, Chih-Hung

2017-09-01

Adolescence may involve increases in many behavioral problems and psychosocial maladaptation. Adolescents must successfully cope with these challenges to achieve positive developmental milestones. To investigate whether low parental attachment security among adolescents in Taiwan is associated with their demographic characteristics, psychosocial maladaptation, and depression. A cross-sectional survey. A total of 335 adolescents completed the questionnaires. The Inventory of Parent and Peer Attachment, the Chinese version of the Youth Self-Report, and the Beck Depression Inventory-II were used to survey the participants. Correlation and multiple linear regressions, using low attachment security as the response variable, were used in the statistical analysis. The prevalence of Taiwanese adolescents with low parental attachment security was 38.5%. Low parental attachment security in adolescents was significantly associated with parental remarriage status and psychosocial maladaptation. By considering these risk factors, nursing educators and nurses could develop effective interventions to strengthen parent-adolescent attachment security.

Does Parental Control Work With Smartphone Addiction?: A Cross-Sectional Study of Children in South Korea.

Science.gov (United States)

Lee, Eun Jee; Ogbolu, Yolanda

The purposes of this study were to (a) examine the relationship between personal characteristics (age, gender), psychological factors (depression), and physical factors (sleep time) on smartphone addiction in children and (b) determine whether parental control is associated with a lower incidence of smartphone addiction. Data were collected from children aged 10-12 years (N = 208) by a self-report questionnaire in two elementary schools and were analyzed using t test, one-way analysis of variance, correlation, and multiple linear regression. Most of the participants (73.3%) owned a smartphone, and the percentage of risky smartphone users was 12%. The multiple linear regression model explained 25.4% (adjusted R = .239) of the variance in the smartphone addiction score (SAS). Three variables were significantly associated with the SAS (age, depression, and parental control), and three variables were excluded (gender, geographic region, and parental control software). Teens, aged 10-12 years, with higher depression scores had higher SASs. The more parental control perceived by the student, the higher the SAS. There was no significant relationship between parental control software and smartphone addiction. This is one of the first studies to examine smartphone addiction in teens. Control-oriented managing by parents of children's smartphone use is not very effective and may exacerbate smartphone addiction. Future research should identify additional strategies, beyond parental control software, that have the potential to prevent, reduce, and eliminate smartphone addiction.

Parents Plus Systemic, Solution-Focused Parent Training Programs: Description, Review of the Evidence Base, and Meta-Analysis.

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Carr, Alan; Hartnett, Dan; Brosnan, Eileen; Sharry, John

2017-09-01

Parents Plus (PP) programs are systemic, solution-focused, group-based interventions. They are designed for delivery in clinical and community settings as treatment programs for families with child-focused problems, such as behavioral difficulties, disruptive behavior disorders, and emotional disorders in young people with and without developmental disabilities. PP programs have been developed for families of preschoolers, preadolescent children, and teenagers, as well as for separated or divorced families. Seventeen evaluation studies involving over 1,000 families have shown that PP programs have a significant impact on child behavior problems, goal attainment, and parental satisfaction and stress. The effect size of 0.57 (p < .001) from a meta-analysis of 10 controlled studies for child behavior problems compares favorably with those of meta-analyses of other well-established parent training programs with large evidence bases. In controlled studies, PP programs yielded significant (p < .001) effect sizes for goal attainment (d = 1.51), parental satisfaction (d = 0.78), and parental stress reduction (d = 0.54). PP programs may be facilitated by trained front-line mental health and educational professionals. © 2016 Family Process Institute.

The costs of parental care: a meta-analysis of the trade-off between parental effort and survival in birds.

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Santos, E S A; Nakagawa, S

2012-09-01

A fundamental premise of life-history theory is that organisms that increase current reproductive investment suffer increased mortality. Possibly the most studied life-history phenotypic relationship is the trade-off between parental effort and survival. However, evidence supporting this trade-off is equivocal. Here, we conducted a meta-analysis to test the generality of this tenet. Using experimental studies that manipulated parental effort in birds, we show that (i) the effect of parental effort on survival was similar across species regardless of phylogeny; (ii) individuals that experienced reduced parental effort had similar survival probabilities than control individuals, regardless of sex; and (iii) males that experienced increased parental effort were less likely to survive than control males, whereas females that experienced increased effort were just as likely to survive as control females. Our results suggest that the trade-off between parental effort and survival is more complex than previously assumed. Finally, our study provides recommendations of unexplored avenues of future research into life-history trade-offs. © 2012 The Authors. Journal of Evolutionary Biology © 2012 European Society For Evolutionary Biology.

Inferring gene expression dynamics via functional regression analysis

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Leng Xiaoyan

2008-01-01

Full Text Available Abstract Background Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene expression associated with different developmental stages to each other to study patterns of long-term developmental gene regulation. We use tools from functional data analysis to study dynamic changes by relating temporal gene expression profiles of different developmental stages to each other. Results We demonstrate that functional regression methodology can pinpoint relationships that exist between temporary gene expression profiles for different life cycle phases and incorporates dimension reduction as needed for these high-dimensional data. By applying these tools, gene expression profiles for pupa and adult phases are found to be strongly related to the profiles of the same genes obtained during the embryo phase. Moreover, one can distinguish between gene groups that exhibit relationships with positive and others with negative associations between later life and embryonal expression profiles. Specifically, we find a positive relationship in expression for muscle development related genes, and a negative relationship for strictly maternal genes for Drosophila, using temporal gene expression profiles. Conclusion Our findings point to specific reactivation patterns of gene expression during the Drosophila life cycle which differ in characteristic ways between various gene groups. Functional regression emerges as a useful tool for relating gene expression patterns from different developmental stages, and avoids the problems with large numbers of parameters and multiple testing that affect alternative approaches.

Unemployment, Parental Distress and Youth Emotional Well-Being: The Moderation Roles of Parent-Youth Relationship and Financial Deprivation.

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Frasquilho, Diana; de Matos, Margarida Gaspar; Marques, Adilson; Neville, Fergus G; Gaspar, Tânia; Caldas-de-Almeida, J M

2016-10-01

We investigated, in a sample of 112 unemployed parents of adolescents aged 10-19 years, the links between parental distress and change in youth emotional problems related to parental unemployment, and the moderation roles of parent-youth relationship and financial deprivation. Data were analyzed using descriptive statistics and correlations. Further, simple moderation, additive moderation, and moderated moderation models of regression were performed to analyze the effects of parental distress, parent-youth relationship and financial deprivation in predicting change in youth emotional problems related to parental unemployment. Results show that parental distress moderated by parent-youth relationship predicted levels of change in youth emotional problems related to parental unemployment. This study provides evidence that during job loss, parental distress is linked to youth emotional well-being and that parent-youth relationships play an important moderation role. This raises the importance of further researching parental distress impacts on youth well-being, especially during periods of high unemployment rates.

Parents' views on childhood obesity: qualitative analysis of discussion board postings.

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Appleton, Jessica; Fowler, Cathrine; Brown, Nicola

2017-08-01

Childhood obesity is an increasing concern for parents and health professionals alike. Parents' perception of obesity as a current health issue for their children is important for the everyday parenting and health choices parents make. As parents are frequently going online to seek and exchange information about parenting and child health, asynchronous online discussion forums provide an opportunity to investigate their perceptions and concerns. Understanding parents' perceptions, beliefs and attitudes is important in any childhood obesity prevention and intervention. To explore parents' perceptions, perspectives and concerns regarding childhood obesity expressed on asynchronous online discussion forums. A qualitative descriptive approach using template analysis to analyse a novel data collection strategy of 34 purposefully sampled threads from two Australian-based asynchronous online discussion forums. Parents on the discussion forum displayed an understanding of childhood obesity as a public health concern, the discussion incorporated issues such as providing a healthy diet and lifestyle for children. Parents shared their own opinions and experiences that challenged or conceded to the status quo of the discussion. Parents discussed the role of health professionals in obesity prevention. There were varied opinions on the relevance of health professionals, particularly nurses, monitoring of growth and risk of obesity. This exploratory study highlights that parents perceive childhood obesity as an important public health concern, and that they understand the key public health messages of prevention and intervention. Yet, for many it is difficult to successfully implement these messages into their everyday lives. Health professionals need to play a key role in providing non-judgemental, innovative support and advice to parents to successfully implement prevention and intervention strategies.

Survival analysis II: Cox regression

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Stel, Vianda S.; Dekker, Friedo W.; Tripepi, Giovanni; Zoccali, Carmine; Jager, Kitty J.

2011-01-01

In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the

Use of generalized ordered logistic regression for the analysis of multidrug resistance data.

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Agga, Getahun E; Scott, H Morgan

2015-10-01

Statistical analysis of antimicrobial resistance data largely focuses on individual antimicrobial's binary outcome (susceptible or resistant). However, bacteria are becoming increasingly multidrug resistant (MDR). Statistical analysis of MDR data is mostly descriptive often with tabular or graphical presentations. Here we report the applicability of generalized ordinal logistic regression model for the analysis of MDR data. A total of 1,152 Escherichia coli, isolated from the feces of weaned pigs experimentally supplemented with chlortetracycline (CTC) and copper, were tested for susceptibilities against 15 antimicrobials and were binary classified into resistant or susceptible. The 15 antimicrobial agents tested were grouped into eight different antimicrobial classes. We defined MDR as the number of antimicrobial classes to which E. coli isolates were resistant ranging from 0 to 8. Proportionality of the odds assumption of the ordinal logistic regression model was violated only for the effect of treatment period (pre-treatment, during-treatment and post-treatment); but not for the effect of CTC or copper supplementation. Subsequently, a partially constrained generalized ordinal logistic model was built that allows for the effect of treatment period to vary while constraining the effects of treatment (CTC and copper supplementation) to be constant across the levels of MDR classes. Copper (Proportional Odds Ratio [Prop OR]=1.03; 95% CI=0.73-1.47) and CTC (Prop OR=1.1; 95% CI=0.78-1.56) supplementation were not significantly associated with the level of MDR adjusted for the effect of treatment period. MDR generally declined over the trial period. In conclusion, generalized ordered logistic regression can be used for the analysis of ordinal data such as MDR data when the proportionality assumptions for ordered logistic regression are violated. Published by Elsevier B.V.

The Triple P-Positive Parenting Program: a systematic review and meta-analysis of a multi-level system of parenting support.

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Sanders, Matthew R; Kirby, James N; Tellegen, Cassandra L; Day, Jamin J

2014-06-01

This systematic review and meta-analysis examined the effects of the multilevel Triple P-Positive Parenting Program system on a broad range of child, parent and family outcomes. Multiple search strategies identified 116 eligible studies conducted over a 33-year period, with 101 studies comprising 16,099 families analyzed quantitatively. Moderator analyses were conducted using structural equation modeling. Risk of bias within and across studies was assessed. Significant short-term effects were found for: children's social, emotional and behavioral outcomes (d=0.473); parenting practices (d=0.578); parenting satisfaction and efficacy (d=0.519); parental adjustment (d=0.340); parental relationship (d=0.225) and child observational data (d=0.501). Significant effects were found for all outcomes at long-term including parent observational data (d=0.249). Moderator analyses found that study approach, study power, Triple P level, and severity of initial child problems produced significant effects in multiple moderator models when controlling for other significant moderators. Several putative moderators did not have significant effects after controlling for other significant moderators. The positive results for each level of the Triple P system provide empirical support for a blending of universal and targeted parenting interventions to promote child, parent and family wellbeing. Copyright © 2014 Elsevier Ltd. All rights reserved.

Family-based multi-SNP X chromosome analysis using parental information

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Alison S. Wise

2016-02-01

Full Text Available We propose a method for association analysis of haplotypes on the X chromosome that offers both improved power and robustness to population stratification in studies of affected offspring and their parents if all three have been genotyped. The method makes use of assumed parental haplotype exchangeability, a weaker assumption than Hardy-Weinberg equilibrium. Parental haplotype exchangeability requires that in the source population, of the three X chromosome haplotypes carried by the two parents, each is equally likely to be carried by the father. We propose a pseudo-sibling approach that exploits that exchangeability assumption. Our method extends the single-SNP PIX-LRT method to multiple SNPs in a high linkage block. We describe methods for testing the parental haplotype exchangeability assumption and also for determining how apparent violations can be distinguished from true fetal effects or maternally-mediated effects. We show results of simulations that demonstrate nominal type I error rate and good power. The methods are then applied to dbGaP data on the birth defect oral cleft, using both Asian and Caucasian families with cleft.

Regression analysis of growth responses to water depth in three wetland plant species

DEFF Research Database (Denmark)

Sorrell, Brian K; Tanner, Chris C; Brix, Hans

2012-01-01

depths from 0 – 0.5 m. Morphological and growth responses to depth were followed for 54 days before harvest, and then analysed by repeated measures analysis of covariance, and non-linear and quantile regression analysis (QRA), to compare flooding tolerances. Principal results Growth responses to depth...

Predicting parenting stress in caregivers of children with brain tumours.

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Bennett, Emily; English, Martin William; Rennoldson, Michael; Starza-Smith, Arleta

2013-03-01

The purpose of the study was to identify factors that contribute to parenting stress in caregivers of children diagnosed with brain tumours. The study was cross-sectional and recruited 37 participants from a clinical database at a specialist children's hospital. Parents were sent questionnaires, which were used to measure factors related to stress in caregivers of children diagnosed with a brain tumour. Stress levels were measured using the Parenting Stress Index-Short Form (PSI/SF). Correlation analysis and multiple linear regression were used to examine the associations between parenting stress and coping styles, locus of control, parent-perceived child disability and time since diagnosis. Results revealed that 51% of parents were experiencing clinically significant levels of stress. The mean stress level of parents in the study was significantly higher than the PSI/SF norms (t = 4.7, p parenting stress. Other styles of coping, child behaviour problems and the amount of time since diagnosis were not found to be predictive of levels of parenting stress. There was a high prevalence of parenting stress in caregivers of children with a brain tumour. An external locus of control and coping by accepting responsibility increased the likelihood of elevated levels of stress. Results emphasised the importance of ongoing support for parents of children with brain tumours. Intervention might helpfully be centred on strategies to increase parents' internal locus of control. Copyright © 2012 John Wiley & Sons, Ltd.

A SOCIOLOGICAL ANALYSIS OF THE CHILDBEARING COEFFICIENT IN THE ALTAI REGION BASED ON METHOD OF FUZZY LINEAR REGRESSION

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Sergei Vladimirovich Varaksin

2017-06-01

Full Text Available Purpose. Construction of a mathematical model of the dynamics of childbearing change in the Altai region in 2000–2016, analysis of the dynamics of changes in birth rates for multiple age categories of women of childbearing age. Methodology. A auxiliary analysis element is the construction of linear mathematical models of the dynamics of childbearing by using fuzzy linear regression method based on fuzzy numbers. Fuzzy linear regression is considered as an alternative to standard statistical linear regression for short time series and unknown distribution law. The parameters of fuzzy linear and standard statistical regressions for childbearing time series were defined with using the built in language MatLab algorithm. Method of fuzzy linear regression is not used in sociological researches yet. Results. There are made the conclusions about the socio-demographic changes in society, the high efficiency of the demographic policy of the leadership of the region and the country, and the applicability of the method of fuzzy linear regression for sociological analysis.

Health-related quality of life, depression, and self-esteem in adolescents with leprosy-affected parents: results of a cross-sectional study in Nepal.

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Yamaguchi, Nobuko; Poudel, Krishna C; Jimba, Masamine

2013-01-10

Leprosy is a chronic infectious disease that has an impact on the Health-Related Quality of Life (HRQOL) of sufferers as well as their children. To date, no study has investigated the effects of parental leprosy on the well-being of adolescent children. A cross-sectional study was conducted in the Lalitpur and Kathmandu districts of Nepal. Adolescents with leprosy-affected parents (n = 102; aged 11-17 years) and those with parents unaffected by leprosy (n = 115; 11-17 years) were investigated. Self-reported data from adolescents were collected using the Kinder Lebensqualität Fragebogen (KINDLR) questionnaire to assess HRQOL, the Center for Epidemiological Studies-Depression Scale (CES-D), and the Rosenberg Self-esteem Scale (RSES). Analysis of covariance (ANCOVA) was used to compare scores between the two groups. Multiple regression analysis was conducted to explore the determinants of HRQOL for adolescents with leprosy-affected parents. ANCOVA revealed that the KINDLR and RSES scores were significantly lower among adolescents with leprosy-affected parents compared with unaffected parents. However, the scores of "Friends" and "School" subscales of KINDLR were similar between the two groups. The CES-D score was significantly higher among adolescents with leprosy-affected parents than for adolescents with unaffected parents. The KINDLR scores for adolescents with both parents affected (n = 41) were significantly lower than the scores for those with one parent affected (n = 61). Multiple regression analysis revealed that adolescents with leprosy-affected parents who had higher levels of depressive symptoms were more likely to have lower KINDLR scores. A similar result was seen for adolescents where both parents had leprosy. Adolescents with leprosy-affected parents had higher levels of depressive symptoms, lower levels of self-esteem, and lower HRQOL compared with adolescents whose parents were unaffected by leprosy. Thus, mental health support

Multiple Logistic Regression Analysis of Cigarette Use among High School Students

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Adwere-Boamah, Joseph

2011-01-01

A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of…

Efficacy of preventative parenting interventions for parents of preterm infants on later child behavior: a systematic review and meta-analysis.

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Herd, Michael; Whittingham, Koa; Sanders, Matthew; Colditz, Paul; Boyd, Roslyn N

2014-01-01

The aim of this systematic review was to determine the efficacy of parenting interventions for parents of preterm infants to improve child behavior. Randomized controlled trials (RCTs) of parenting interventions for parents of preterm infants were included. Searchers were conducted of PubMed from 1951 to April 2013, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) from 1982 to April 2013, Scopus from 1966 to April 2013, PsycINFO from 1840 to April 2013, the Web of Science, and the Cochrane Library. Twelve RCTs were identified that assessed child behavior. Of these studies, only data from three were able to be pooled for meta-analysis: the Infant Health and Development Program (IHDP) at 3 years, the Mother-Infant Transaction Program (modified; MITP-M) at 5 years, and the Victorian Infant Brain Studies (VIBeS Plus) at 4 years. Outcome from this analysis revealed a small, but significant, effect on child behavior favoring the intervention (95% CI: 0.08-0.32; p = .001). There is evidence that preterm parenting interventions can improve child behavior. Streamlined interventions such as MITP-M and VIBeS Plus that have a strong focus on the mother-infant relationship may have greatest potential. © 2014 Michigan Association for Infant Mental Health.

The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams.

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Yu, Yuanyuan; Li, Hongkai; Sun, Xiaoru; Su, Ping; Wang, Tingting; Liu, Yi; Yuan, Zhongshang; Liu, Yanxun; Xue, Fuzhong

2017-12-28

Confounders can produce spurious associations between exposure and outcome in observational studies. For majority of epidemiologists, adjusting for confounders using logistic regression model is their habitual method, though it has some problems in accuracy and precision. It is, therefore, important to highlight the problems of logistic regression and search the alternative method. Four causal diagram models were defined to summarize confounding equivalence. Both theoretical proofs and simulation studies were performed to verify whether conditioning on different confounding equivalence sets had the same bias-reducing potential and then to select the optimum adjusting strategy, in which logistic regression model and inverse probability weighting based marginal structural model (IPW-based-MSM) were compared. The "do-calculus" was used to calculate the true causal effect of exposure on outcome, then the bias and standard error were used to evaluate the performances of different strategies. Adjusting for different sets of confounding equivalence, as judged by identical Markov boundaries, produced different bias-reducing potential in the logistic regression model. For the sets satisfied G-admissibility, adjusting for the set including all the confounders reduced the equivalent bias to the one containing the parent nodes of the outcome, while the bias after adjusting for the parent nodes of exposure was not equivalent to them. In addition, all causal effect estimations through logistic regression were biased, although the estimation after adjusting for the parent nodes of exposure was nearest to the true causal effect. However, conditioning on different confounding equivalence sets had the same bias-reducing potential under IPW-based-MSM. Compared with logistic regression, the IPW-based-MSM could obtain unbiased causal effect estimation when the adjusted confounders satisfied G-admissibility and the optimal strategy was to adjust for the parent nodes of outcome, which

The alarming problems of confounding equivalence using logistic regression models in the perspective of causal diagrams

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Yuanyuan Yu

2017-12-01

Full Text Available Abstract Background Confounders can produce spurious associations between exposure and outcome in observational studies. For majority of epidemiologists, adjusting for confounders using logistic regression model is their habitual method, though it has some problems in accuracy and precision. It is, therefore, important to highlight the problems of logistic regression and search the alternative method. Methods Four causal diagram models were defined to summarize confounding equivalence. Both theoretical proofs and simulation studies were performed to verify whether conditioning on different confounding equivalence sets had the same bias-reducing potential and then to select the optimum adjusting strategy, in which logistic regression model and inverse probability weighting based marginal structural model (IPW-based-MSM were compared. The “do-calculus” was used to calculate the true causal effect of exposure on outcome, then the bias and standard error were used to evaluate the performances of different strategies. Results Adjusting for different sets of confounding equivalence, as judged by identical Markov boundaries, produced different bias-reducing potential in the logistic regression model. For the sets satisfied G-admissibility, adjusting for the set including all the confounders reduced the equivalent bias to the one containing the parent nodes of the outcome, while the bias after adjusting for the parent nodes of exposure was not equivalent to them. In addition, all causal effect estimations through logistic regression were biased, although the estimation after adjusting for the parent nodes of exposure was nearest to the true causal effect. However, conditioning on different confounding equivalence sets had the same bias-reducing potential under IPW-based-MSM. Compared with logistic regression, the IPW-based-MSM could obtain unbiased causal effect estimation when the adjusted confounders satisfied G-admissibility and the optimal

Effect of an educational intervention on parental readiness for premature infant discharge from the neonatal intensive care units.

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Chen, Yongfeng; Zhang, Jun; Bai, Jinbing

2016-01-01

To examine the effect of an educational intervention on parental readiness for premature infant discharge from neonatal intensive care units. Low readiness for discharge can result in negative healthcare outcomes for infants and their parents. However, few studies have examined the effect of discharge education programmes on parental readiness for premature infant discharge in Chinese critical care settings. A quasi-experimental study. Between October 2011-March 2012, 154 parents of premature infants were recruited from neonatal intensive care units of two tertiary hospitals in Central China. These parents were assigned to either the intervention or control group based on their entry order. Parents in the intervention group received two sessions of 60-minute discharge education along with hospital routine care; parents in the control group only received hospital routine care. Parental readiness for discharge and quality of discharge education were assessed on the day of infant discharge from neonatal intensive care units. Independent samples t-test and linear regression were used to analyse the data. Parental readiness for premature infant discharge was in the moderate level. Independent samples t-test showed that both mean scores of parental discharge readiness and discharge teaching quality from the intervention group were significantly higher than those in the control group. Linear regression analysis showed that discharge teaching quality explained 39·7% of the variance in parental readiness for premature infant discharge. Discharge education can improve parental readiness for premature infant discharge. Quality of discharge teaching can significantly predict parental readiness for premature infant discharge. © 2015 John Wiley & Sons Ltd.

A Meta-Analysis of Behavioral Parent Training for Children with Attention Deficit Hyperactivity Disorder

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Lee, Pei-chin; Niew, Wern-ing; Yang, Hao-jan; Chen, Vincent Chin-hung; Lin, Keh-chung

2012-01-01

This meta-analysis examined the effect of behavioral parent training on child and parental outcomes for children with attention deficit hyperactivity disorder. Meta-analytic procedures were used to estimate the effect of behavioral parent training on children with attention deficit hyperactivity disorder. Variables moderating the intervention…

THE PROGNOSIS OF RUSSIAN DEFENSE INDUSTRY DEVELOPMENT IMPLEMENTED THROUGH REGRESSION ANALYSIS

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L.M. Kapustina

2007-03-01

Full Text Available The article illustrates the results of investigation the major internal and external factors which influence the development of the defense industry, as well as the results of regression analysis which quantitatively displays the factorial contribution in the growth rate of Russian defense industry. On the basis of calculated regression dependences the authors fulfilled the medium-term prognosis of defense industry. Optimistic and inertial versions of defense product growth rate for the period up to 2009 are based on scenario conditions in Russian economy worked out by the Ministry of economy and development. In conclusion authors point out which factors and conditions have the largest impact on successful and stable operation of Russian defense industry.

Applied linear regression

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Weisberg, Sanford

2013-01-01

Praise for the Third Edition ""...this is an excellent book which could easily be used as a course text...""-International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illus

Maternal and paternal parenting practices and their influence on children's adiposity, screen-time, diet and physical activity.

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Lloyd, Adam B; Lubans, David R; Plotnikoff, Ronald C; Collins, Clare E; Morgan, Philip J

2014-08-01

The primary aim of this study was to examine a range of potential behavioral and maternal/paternal correlates of adiposity in children. Secondary aims were to examine (a) correlates of screen-time, diet and physical activity and (b) if there were differences in maternal and paternal physical activity- and dietary-related parenting practices. Cross-sectional analysis was conducted using 70 families with children (59% boys (41/70), mean age 8.4 (±2.4) years). Parenting practices were measured using the Parenting Strategies for Eating and Activity Scale. Children's outcomes included: 7-day pedometry (physical activity), screen-time, percent energy from core foods (Food frequency questionnaire) and BMI z-score. Multiple regression models were generated to examine the associations between maternal and paternal parenting practices and children's variables. In the regression analyses, fathers' BMI (p parenting practices [limit setting (p = .01), reinforcement (p = .02)] and child screen-time (p = .02) were significantly associated with intake of core foods. Despite some similarities within families, three out of five parenting constructs were significantly different between mothers and fathers. Mothers and fathers have different parental influences on their children's weight status and lifestyle behaviors and both should be included in lifestyle interventions targeting children. A focus on maternal parenting specifically relating to screen-time and diet, and father's physical activity parenting and weight status may support their children in developing more healthy behaviors. Copyright © 2014 Elsevier Ltd. All rights reserved.

Consistency analysis of parenting styles in Thailand during children's first year.

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Phuphaibul, Rutja; Wittayasooporn, Jariya; Choprapawon, Chanpen

2012-09-01

This descriptive study identifies and examines the consistency of parenting styles during the first year of their children's lives. The data were collected from interviewing 4088 parents or primary care takers of the 6 month old infants during the third wave of data collection of The Prospective Cohort of Thai Children project. The instrument used was the Infant Parenting Styles Questionnaire, developed by the researchers, which reflected parental responses to infant care in five different situations. After the answers were categorized into controlling, reasoning, overprotection, and neglectful parenting styles, the weighted kappa was used for the consistency analysis. The findings revealed that during the first 6 months of life, the overprotection style was the most common, followed by the reasoning style. The controlling and neglectful styles were very seldom used. The consistency of the parental styles in the same care givers using the kappa values showed that agreement between each of the styles was very low (-0.0419 to 0.0688). This suggests that parenting styles during the first year of life seem to occur in random patterns. © 2012 Wiley Publishing Asia Pty Ltd.

Noninvasive spectral imaging of skin chromophores based on multiple regression analysis aided by Monte Carlo simulation

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Nishidate, Izumi; Wiswadarma, Aditya; Hase, Yota; Tanaka, Noriyuki; Maeda, Takaaki; Niizeki, Kyuichi; Aizu, Yoshihisa

2011-08-01

In order to visualize melanin and blood concentrations and oxygen saturation in human skin tissue, a simple imaging technique based on multispectral diffuse reflectance images acquired at six wavelengths (500, 520, 540, 560, 580 and 600nm) was developed. The technique utilizes multiple regression analysis aided by Monte Carlo simulation for diffuse reflectance spectra. Using the absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin, and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are deduced numerically in advance, while oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments with human skin of the human hand during upper limb occlusion and of the inner forearm exposed to UV irradiation demonstrated the ability of the method to evaluate physiological reactions of human skin tissue.

Multiple Regression Analysis of Unconfined Compression Strength of Mine Tailings Matrices

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Mahmood Ali A.

2017-01-01

Full Text Available As part of a novel approach of sustainable development of mine tailings, experimental and numerical analysis is carried out on newly formulated tailings matrices. Several physical characteristic tests are carried out including the unconfined compression strength test to ascertain the integrity of these matrices when subjected to loading. The current paper attempts a multiple regression analysis of the unconfined compressive strength test results of these matrices to investigate the most pertinent factors affecting their strength. Results of this analysis showed that the suggested equation is reasonably applicable to the range of binder combinations used.

The Long-Term Effect on Children of Increasing the Length of Parents' Birth-Related Leave

DEFF Research Database (Denmark)

Wurtz, Astrid

The length of parents. birth-related leave varies across countries and has been subject of some debate. I investigate the long-term e¤ects on children of increasing the length of parents.birth-related leave using a natural experiment from 1984 in Denmark when the leave length was increased from 14...... to 20 weeks. Regression discontinuity design is used to identify the causal e¤ect of the reform. A population sample of children born in 1984 and a dataset with PISA-2000 scores are used for the analysis. Results indicate that increasing parents. access to birth-related leave has no measurable e...

The link between parental allergy and offspring allergic and nonallergic rhinitis.

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Westman, M; Kull, I; Lind, T; Melén, E; Stjärne, P; Toskala, E; Wickman, M; Bergström, A

2013-12-01

Parental allergy-related disease increases the risk for rhinitis, but it remains unknown how different phenotypes of parental allergy affect this risk. The aim of this study was to investigate how parental hay fever, asthma, and eczema affect the risk of allergic rhinitis (AR) and nonallergic rhinitis (NAR) at 8 years of age. Information on 2413 children from a population-based birth cohort was used combining questionnaire data and IgE to inhalant allergens. Logistic regression was used to estimate the association between parental allergy-related disease and AR and NAR. In addition, cluster analysis was used to search for latent phenotypes of heredity likely to be associated with AR and NAR. At age 8 years, 13.8% of the children had AR, while 6.4% had NAR. Parental isolated hay fever increased the odds of AR (OR 2.2, 95% CI 1.6-3.2), whereas isolated asthma or eczema did not. The odds of NAR increased when one parent had two or more allergy-related diseases. In the cluster analysis, the highest proportion of AR, 37.5%, was seen in a cluster where both parents had hay fever and pollen allergy and that of NAR, 11.0%, in a cluster where one parent had hay fever, pollen allergy, and eczema. Parental allergy-related disease may be an important risk factor for NAR as well as AR, and the risk is comparable for maternal and paternal allergy. Parental hay fever seems to be the dominating hereditary risk factor for AR. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Exploring the association between parental rearing styles and medical students' critical thinking disposition in China.

Science.gov (United States)

Huang, Lei; Wang, Zhaoxin; Yao, Yuhong; Shan, Chang; Wang, Haojie; Zhu, Mengyi; Lu, Yuan; Sun, Pengfei; Zhao, Xudong

2015-05-14

Critical thinking is an essential ability for medical students. However, the relationship between parental rearing styles and medical students' critical thinking disposition has rarely been considered. The aim of this study was to investigate whether parental rearing styles were significant predictors of critical thinking disposition among Chinese medical students. 1,075 medical students from the first year to the fifth year attending one of three medical schools in China were recruited via multistage stratified cluster sampling. The Chinese Critical Thinking Disposition Inventory(CTDI-CV) and The Egna Minnen av Barndoms Uppfostran (EMBU) questionnaire were applied to collect data and to conduct descriptive analysis. Stepwise multiple linear regression was used to analyze the data. The critical thinking disposition average mean score was 287.44 with 632 participants (58.79%) demonstrating positive critical thinking disposition. Stepwise multiple linear regression analysis revealed that the rearing styles of fathers, including "overprotection", "emotional warmth and understanding", "rejection" and "over-interference" were significant predictors of medical students' critical thinking disposition that explained 79.0% of the variance in critical thinking ability. Rearing styles of mothers including "emotional warmth and understanding", "punishing" and "rejection" were also found to be significant predictors, and explained 77.0% of the variance. Meaningful association has been evidenced between parental rearing styles and Chinese medical students' critical thinking disposition. Parental rearing styles should be considered as one of the many potential determinant factors that contribute to the cultivation of medical students' critical thinking capability. Positive parental rearing styles should be encouraged in the cultivation of children's critical thinking skills.

The Regression Analysis of Individual Financial Performance: Evidence from Croatia

OpenAIRE

Bahovec, Vlasta; Barbić, Dajana; Palić, Irena

2017-01-01

Background: A large body of empirical literature indicates that gender and financial literacy are significant determinants of individual financial performance. Objectives: The purpose of this paper is to recognize the impact of the variable financial literacy and the variable gender on the variation of the financial performance using the regression analysis. Methods/Approach: The survey was conducted using the systematically chosen random sample of Croatian financial consumers. The cross sect...

Associations between general parenting styles and specific food-related parenting practices and children's food consumption.

Science.gov (United States)

Vereecken, Carine; Legiest, Erwin; De Bourdeaudhuij, Ilse; Maes, Lea

2009-01-01

Explore the impact of general parenting style and specific food-related parenting practices on children's dietary habits. Cross-sectional study of sixth graders and their parents. Data were gathered (in 2003) in 69 of 100 randomly selected elementary schools in Belgium. All sixth graders (N = 1957) were invited to participate; 82.4% of their parents gave consent and completed questionnaires, resulting in 1614 parent-child pairs. Children's consumption of breakfast, fruit, vegetables, soft drinks, and sweets was assessed by self-administered food frequency questionnaires. Parents completed questionnaires on sociodemographic characteristics, general parenting styles (authoritarian, authoritative, indulgent, or neglecting) and specific food-related parenting practices (pressure, reward, encouragement through negotiation, catering on children's demands, permissiveness, avoiding negative modeling, and praise). Logistic regression analyses were performed, with general parenting style and specific food-related parenting practices as predictors and dietary habits as dependent variables, controlling for sociodemographic characteristics and children's weight status. General parenting style did not show any significant impact on dietary habits. In contrast, the food-related parenting practice "encouragement through negotiation" showed a significant positive impact, whereas "pressure," "catering on demand," and "permissiveness" were practices with an unhealthy impact. Nutrition education programs that guide parents in firm but not coercive food parenting skills are likely to have a positive impact upon children's dietary habits.

A systematic review and meta-regression analysis of mivacurium for tracheal intubation

NARCIS (Netherlands)

Vanlinthout, L.E.H.; Mesfin, S.H.; Hens, N.; Vanacker, B.F.; Robertson, E.N.; Booij, L.H.D.J.

2014-01-01

We systematically reviewed factors associated with intubation conditions in randomised controlled trials of mivacurium, using random-effects meta-regression analysis. We included 29 studies of 1050 healthy participants. Four factors explained 72.9% of the variation in the probability of excellent

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis.

Science.gov (United States)

van Smeden, Maarten; de Groot, Joris A H; Moons, Karel G M; Collins, Gary S; Altman, Douglas G; Eijkemans, Marinus J C; Reitsma, Johannes B

2016-11-24

Ten events per variable (EPV) is a widely advocated minimal criterion for sample size considerations in logistic regression analysis. Of three previous simulation studies that examined this minimal EPV criterion only one supports the use of a minimum of 10 EPV. In this paper, we examine the reasons for substantial differences between these extensive simulation studies. The current study uses Monte Carlo simulations to evaluate small sample bias, coverage of confidence intervals and mean square error of logit coefficients. Logistic regression models fitted by maximum likelihood and a modified estimation procedure, known as Firth's correction, are compared. The results show that besides EPV, the problems associated with low EPV depend on other factors such as the total sample size. It is also demonstrated that simulation results can be dominated by even a few simulated data sets for which the prediction of the outcome by the covariates is perfect ('separation'). We reveal that different approaches for identifying and handling separation leads to substantially different simulation results. We further show that Firth's correction can be used to improve the accuracy of regression coefficients and alleviate the problems associated with separation. The current evidence supporting EPV rules for binary logistic regression is weak. Given our findings, there is an urgent need for new research to provide guidance for supporting sample size considerations for binary logistic regression analysis.

Estimate the contribution of incubation parameters influence egg hatchability using multiple linear regression analysis.

Science.gov (United States)

Khalil, Mohamed H; Shebl, Mostafa K; Kosba, Mohamed A; El-Sabrout, Karim; Zaki, Nesma

2016-08-01

This research was conducted to determine the most affecting parameters on hatchability of indigenous and improved local chickens' eggs. Five parameters were studied (fertility, early and late embryonic mortalities, shape index, egg weight, and egg weight loss) on four strains, namely Fayoumi, Alexandria, Matrouh, and Montazah. Multiple linear regression was performed on the studied parameters to determine the most influencing one on hatchability. The results showed significant differences in commercial and scientific hatchability among strains. Alexandria strain has the highest significant commercial hatchability (80.70%). Regarding the studied strains, highly significant differences in hatching chick weight among strains were observed. Using multiple linear regression analysis, fertility made the greatest percent contribution (71.31%) to hatchability, and the lowest percent contributions were made by shape index and egg weight loss. A prediction of hatchability using multiple regression analysis could be a good tool to improve hatchability percentage in chickens.

Logistic Regression: Concept and Application

Science.gov (United States)

Cokluk, Omay

2010-01-01

The main focus of logistic regression analysis is classification of individuals in different groups. The aim of the present study is to explain basic concepts and processes of binary logistic regression analysis intended to determine the combination of independent variables which best explain the membership in certain groups called dichotomous…

Can technology and the media help reduce dysfunctional parenting and increase engagement with preventative parenting interventions?

Science.gov (United States)

Calam, Rachel; Sanders, Matthew R; Miller, Chloe; Sadhnani, Vaneeta; Carmont, Sue-Ann

2008-11-01

In an evaluation of the television series "Driving Mum and Dad Mad," 723 families participated and were randomly assigned to either a standard or technology enhanced viewing condition (included additional Web-support). Parents in both conditions reported significant improvements from pre- to postintervention in their child's behavior, dysfunctional parenting, parental anger, depression, and self-efficacy. Short-term improvements were maintained at 6-months follow-up. Regressions identified predictors of program outcomes and level of involvement. Parents who watched the entire series had more severe problems at preintervention and high sociodemographic risk than parents who did not watch the entire series. Few sociodemographic, child, or parent variables assessed at preintervention predicted program outcomes or program engagement, suggesting that a wide range of parents from diverse socioeconomic status benefited from the program. Media interventions depicting evidence-based parenting programs may be a useful means of reaching hard to engage families in population-level child maltreatment prevention programs.

Chinese parents' perceptions of their children's weights and their relationship to parenting behaviours.

Science.gov (United States)

Wen, X; Hui, S S C

2011-05-01

The purpose of this study is to examine Chinese parents' perceptions of their children's weights and explore the parenting behaviours associated with these perceptions. A total of 2143 adolescents and 1869 parents were recruited from secondary schools in Ganzhou and Shantou in China. The adolescents' actual weights and heights were measured by trained testers. The self-reported parents' weights and heights, parental perception of the adolescents' weights, adolescents' perception of their own weights, parenting behaviours and demographic information were collected through the questionnaires distributed to the respondents. The results based on Kappa statistics show only a slight agreement between parental perception of their children's weights and the adolescents' actual weights (Kappa = 0.221). The results from the logistic regression show that the parents' gender [odds ratio (OR) = 0.80, 95% confidence interval (CI): 0.64-1.00], adolescents' gender (OR = 1.61, 95% CI: 1.29-2.01) and perception of their own weights (OR = 0.30, 95% CI: 0.24-0.38) are associated with the parents' perception of their children's weights. Statistically significant difference in several parenting behaviours was found between the parents with correct and incorrect perceptions of their children's weight. Misconceptions about their children's weights are prevalent among Chinese parents. The association between parents' perception of their children's weight and parenting behaviours suggests that the accurate classification of children's weights could help prevent childhood obesity. © 2010 Blackwell Publishing Ltd.

Parent-adolescent sex communication in China.

Science.gov (United States)

Zhang, Liying; Li, Xiaoming; Shah, Iqbal H; Baldwin, Wendy; Stanton, Bonita

2007-06-01

Communication concerning sexual matters between parents and their adolescent children serve as a protective factor and exerts a favourable influence on adolescents' sexual behaviours. As limited data regarding parent-adolescent sex communication are available in China, this study was undertaken with the aim of exploring the patterns and related factors of such communication and its relationship with adolescent sexual behaviour. Community-based data were collected in 2001 in Changchun, China. Unmarried adolescents 15-19 years of age (322 young men and 360 young women) were included in a survey using self-administered questionnaires. Overall, sex communication with parents was relatively infrequent. There was a significant gender difference in the pattern of sex communication, with male adolescents being more likely to talk with fathers and female adolescents with mothers. Logistic regression analysis revealed that gender of adolescents, quality of communication with mothers on general topics, and adolescent's perception of mother being the main source of sex knowledge were predictive of the level of sex communication between mother and her adolescent children. This study reveals that communication regarding sexual matters between parents and adolescents was limited in China. The quality of communication on general topics between parents and their adolescent children is one of the important factors related to sex communication between them. It is essential that Chinese parents are better informed and skilled to be involved, in addition to school and community, in the sex education of their adolescent children. They should be able to communicate appropriately on sex-related issues with them.

Parent and Child Cigarette Use: A Longitudinal, Multigenerational Study

Science.gov (United States)

Staff, Jeremy

2013-01-01

OBJECTIVES: Using longitudinal data from the multigenerational Youth Development Study (YDS), this article documents how parents’ long-term smoking trajectories are associated with adolescent children’s likelihood of smoking. Prospective data from the parents (from age 14–38 years) enable unique comparisons of the parents’ and children’s smoking behavior, as well as that of siblings. METHODS: Smoking trajectories are constructed using latent class analysis for the original YDS cohort (n = 1010). Multigenerational longitudinal data from 214 parents and 314 offspring ages 11 years and older are then analyzed by using logistic regression with cluster-corrected SEs. RESULTS: Four latent smoking trajectories emerged among the original cohort: stable nonsmokers (54%), early-onset light smokers who quit/reduce (16%), late-onset persistent smokers (14%), and early-onset persistent heavy smokers (16%). Although 8% of children of stable nonsmokers smoked in the last year, the other groups’ children had much higher percentages, ranging from 23% to 29%. Multivariate logistic regression models confirm that these significant differences were robust to the inclusion of myriad child- and parent-level measures (for which child age and grade point average [GPA] are significant predictors). Older sibling smoking, however, mediated the link between parental heavy smoking and child smoking. CONCLUSIONS: Even in an era of declining rates of teenage cigarette use in the United States, children of current and former smokers face an elevated risk of smoking. Prevention efforts to weaken intergenerational associations should consider parents’ long-term cigarette use, as well as the smoking behavior of older siblings in the household. PMID:23918887

Filicide-suicide ideation among Taiwanese parents with school-aged children: prevalence and associated factors.

Science.gov (United States)

Wei, Hsi-Sheng; Chen, Ji-Kang

2014-03-01

This study explored the prevalence of filicide-suicide ideation among Taiwanese parents with school-aged children. Multiple risk factors associated with filicide-suicide ideation were assessed, and the potential effect of traditional family values was evaluated. A random sample of 1,564 parents was recruited from 21 elementary schools in a rural area of Taiwan. Potential risk factors, including demographics, family finance, psychological maladjustment, family interaction, and cultural beliefs, were further examined using a hierarchical logistic regression. Overall, 14.6% of the respondents reported having filicide-suicide ideation during the past year. The hierarchical logistic regression analysis showed that demographic factors including age, gender, and ethnicity had no significant effect. Family finances, depression, and conflict with the respondent's spouse were positively associated with filicide-suicide ideation. Finally, the parents' beliefs in traditional family values had a positive effect on filicide-suicide ideation. In other words, filicide-suicide thoughts were more common among those who upheld a strong parental responsibility for care giving and family solidarity. This study revealed a substantial prevalence of filicide-suicide ideation among local parents and identified a number of risk factors associated with those thoughts, namely family financial status, parental depression, and conflict with one's spouse. More importantly, the results highlighted the effect of traditional family values in the process. The potential intention of filicide-suicide as mercy killing and its cultural relevance were discussed. Copyright © 2013 Elsevier Ltd. All rights reserved.

Parental Incarceration and Child Sleep and Eating Behaviors.

Science.gov (United States)

Jackson, Dylan B; Vaughn, Michael G

2017-06-01

To examine whether parental incarceration is significantly associated with a number of sleep and eating behaviors among offspring during early childhood. Data from the Fragile Families and Child Well-Being Study, an at-risk sample of parents and their offspring, were employed to test this possibility. Both maternal and paternal incarceration history were examined as predictors of whether children manifested high levels of the following 7 health behaviors: sleep problems, short sleep duration, salty snack consumption, starch consumption, sweets consumption, soda consumption, and fast food consumption. Logistic regression techniques were used to carry out the analyses. Both maternal and paternal incarceration significantly increased the odds of a number of risky sleep and eating behaviors during childhood. Ancillary analysis also revealed that the predicted probability of exhibiting multiple risky behaviors across the sleep and eating domains was twice as large among children whose parents had both been incarcerated, relative to children whose parents had not been incarcerated. Parental incarceration may have important implications for the sleep and eating behaviors of offspring. Both scholars and practitioners may, therefore, want to consider the possible negative repercussions of parental incarceration for the sleep and eating behaviors of children, and the potential for these high-risk health behaviors to compromise the health and well-being of children as they age. Copyright © 2017 Elsevier Inc. All rights reserved.

Grade repetition and parents' perception of hearing loss: An analysis of data from children in the United States.

Science.gov (United States)

Gilani, Sapideh; Roditi, Rachel; Bhattacharyya, Neil

2017-03-01

To determine whether parent-perceived hearing problems are associated with grade repetition among children in the United States. Retrospective cohort analysis of a contemporary national database. The National Survey of Children's Health 2011 to 2012 was analyzed. Hearing loss, as perceived and reported by parents, was categorized as: no hearing problem, history of a hearing problem, or current hearing problem. Children never repeating a grade versus repeating one or more grades (kindergarten-high school) were identified. Univariate statistics and multivariate logistic regression analyzed the association of hearing problems with grade repetition. Patients with mental retardation, autism, and attention-deficit/hyperactivity disorder were excluded from the analysis. After adjusting for race, sex, and poverty level, odds ratios for grade repetition were computed. Among 66.1 million (average age, 8.3 years, 49.0% male) children, 97.3% never had a hearing problem, 1.7% had a history of a hearing problem, and 1.0% had a current hearing problem. Overall, 7.1% repeated a grade. Grade repetition was reported in 6.9% of children without a hearing problem versus 9.4% with a history of a hearing problem and 19.3% with a current hearing problem (P hearing problem demonstrated an odds ratio of 1.9 (95% confidence interval 0.82-4.13) for grade repetition, whereas a current hearing problem demonstrated an odds ratio of 3.0 (1.90-4.80). Parents' perception of children's hearing problems is strongly associated with grade repetition. This trend is noticed in elementary school more than in high school. 4. Laryngoscope, 127:741-745, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

Associations among attitudes, perceived difficulty of learning science, gender, parents' occupation and students' scientific competencies

Science.gov (United States)

Chi, ShaoHui; Wang, Zuhao; Liu, Xiufeng; Zhu, Lei

2017-11-01

This study investigated the associations among students' attitudes towards science, students' perceived difficulty of learning science, gender, parents' occupations and their scientific competencies. A sample of 1591 (720 males and 871 females) ninth-grade students from 29 junior high schools in Shanghai completed a scientific competency test and a Likert scale questionnaire. Multiple regression analysis revealed that students' general interest of science, their parents' occupations and perceived difficulty of science significantly associated with their scientific competencies. However, there was no gender gap in terms of scientific competencies.

NON-FORMAL EDUCATION WITHIN THE FUNCTION OF RESPONSIBLE PARENTING

Directory of Open Access Journals (Sweden)

Dragana Bogavac

2017-06-01

Full Text Available The aim of this survey was to discover to what degree parental non-formal education is present within the function of responsible parenting. The questionnaire research method was used in the survey. For the purpose of this research a questionnaire of 13 questions was constructed relating to the forms of non-formal education, and another questionnaire of 10 questions relating to the parents’ expectations of non-formal education. The sample included 198 parents. Examination of the scores concerning the presence of certain forms of parental non-formal education realized in cooperation with the school leads to the conclusion that the parents possess a positive attitude towards non-formal education. The analysis showed that the parents’ expectations were not on a satisfactory level. According to the results, the fathers displayed a greater interest towards non-formal education (7.72±1.35 than the mothers (6.93±1.85, (p<0.05. Unemployed parents had a greater score (7.85±1.30 than the employed parents (7.22±1.71, (p<0.05. A difference in the acceptance of non-formal education in accordance with the level of formal education was also noticeable (p<0.001. Respondents with a high school degree displayed the highest level of acceptance (7.97±0.78, while the lowest interest was seen in respondents with an associate degree (6.41±2.29. Univariate linear regression analysis showed that statistically important predictors were: gender (OR: -0.23 (-1.24 – -0.33, p< 0.001, work status (OR: -0.14 (-1.24 – -0.01, < 0.05 and the level of formal education (OR: -0.33 (-0.81 – -0.34, p< 0.001. The final results lead to the conclusion that parental non-formal education supports the concept of lifelong education.

A multiple regression analysis for accurate background subtraction in 99Tcm-DTPA renography

International Nuclear Information System (INIS)

Middleton, G.W.; Thomson, W.H.; Davies, I.H.; Morgan, A.

1989-01-01

A technique for accurate background subtraction in 99 Tc m -DTPA renography is described. The technique is based on a multiple regression analysis of the renal curves and separate heart and soft tissue curves which together represent background activity. It is compared, in over 100 renograms, with a previously described linear regression technique. Results show that the method provides accurate background subtraction, even in very poorly functioning kidneys, thus enabling relative renal filtration and excretion to be accurately estimated. (author)

Parental knowledge in pediatric otolaryngology surgical consultations: A qualitative content analysis.

Science.gov (United States)

Gorodzinsky, Ayala Y; Hong, Paul; Chorney, Jill MacLaren

2015-07-01

To understand the source of parents' knowledge prior to and desire for further information following pediatric otolaryngology surgical consultations. Mixed-methods approach using descriptive and qualitative content analysis of interviews with parents following otolaryngology consultations for children under the age of 6 years was performed. The children were being seen for either tonsillitis, obstructive sleep apnea, otitis media, and/or sinusitis/nasal obstruction. Forty-one parents completed a phone interview two weeks following their child's surgical consultation. The majority of parents indicated that their primary care physician referred their child for either: investigation of symptoms (50%), to have a specific discussion about surgery (27.5%), or because other treatment options were no longer working (20%). Many parents (56.5%) indicated that the Internet was their primary source of information prior to the appointment. Most parents (93%) wanted more information; majority of these parents noted that a technology-based mode of delivery of information available prior to the appointment would be most desirable. Desired information was most often regarding the surgical procedure, including risks and benefits, and symptoms of concern prior to surgery. This study provides a description of parental knowledge and information sources prior to their child's surgical consultation and continued desire for information. This information may lead to decreased knowledge barriers and increased communication to facilitate shared decision-making between the provider and parents. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Explaining use of food parenting practices: the importance of predisposing factors and parental cognitions.

Science.gov (United States)

Gevers, Dorus Wm; van Assema, Patricia; de Vries, Nanne K; Kremers, Stef Pj

2017-09-01

The high energy intake from energy-dense foods among children in developed countries is undesirable. Improving food parenting practices has the potential to lower snack intakes among children. To inform the development of interventions, we aimed to predict food parenting practice patterns around snacking (i.e. 'high covert control and rewarding', 'low covert control and non-rewarding', 'high involvement and supportive' and 'low involvement and indulgent'). A cross-sectional survey was conducted. To predict the patterns of food parenting practices, multinomial logistic regression analyses were run with 888 parents. Predictors included predisposing factors (i.e. parents' and children's demographics and BMI, parents' personality, general parenting, and parenting practices used by their own parents) and parents' cognitions (i.e. perceived behaviour of other parents, subjective norms, attitudes, self-efficacy and outcome expectations). The Netherlands (October-November 2014). Dutch parents of children aged 4-12 years old. After backward elimination, nineteen factors had a statistically significant contribution to the model (Nagelkerke R 2=0·63). Overall, self-efficacy and outcome expectations were among the strongest explanatory factors. Considering the predisposing factors only, the general parenting factor nurturance most strongly predicted the food parenting clusters. Nurturance particularly distinguished highly involved parents from parents employing a pattern of low involvement. Parental cognitions and nurturance are important factors to explain the use of food parenting practices around snacking. The results suggest that intervention developers should attempt to increase self-efficacy and educate parents about what constitute effective and ineffective parenting practices. Promoting nurturance might be a prerequisite to achieve prolonged change.

Development of an empirical model of turbine efficiency using the Taylor expansion and regression analysis

International Nuclear Information System (INIS)

Fang, Xiande; Xu, Yu

2011-01-01

The empirical model of turbine efficiency is necessary for the control- and/or diagnosis-oriented simulation and useful for the simulation and analysis of dynamic performances of the turbine equipment and systems, such as air cycle refrigeration systems, power plants, turbine engines, and turbochargers. Existing empirical models of turbine efficiency are insufficient because there is no suitable form available for air cycle refrigeration turbines. This work performs a critical review of empirical models (called mean value models in some literature) of turbine efficiency and develops an empirical model in the desired form for air cycle refrigeration, the dominant cooling approach in aircraft environmental control systems. The Taylor series and regression analysis are used to build the model, with the Taylor series being used to expand functions with the polytropic exponent and the regression analysis to finalize the model. The measured data of a turbocharger turbine and two air cycle refrigeration turbines are used for the regression analysis. The proposed model is compact and able to present the turbine efficiency map. Its predictions agree with the measured data very well, with the corrected coefficient of determination R c 2 ≥ 0.96 and the mean absolute percentage deviation = 1.19% for the three turbines. -- Highlights: → Performed a critical review of empirical models of turbine efficiency. → Developed an empirical model in the desired form for air cycle refrigeration, using the Taylor expansion and regression analysis. → Verified the method for developing the empirical model. → Verified the model.

Econometric analysis of realized covariation: high frequency based covariance, regression, and correlation in financial economics

DEFF Research Database (Denmark)

Barndorff-Nielsen, Ole Eiler; Shephard, N.

2004-01-01

This paper analyses multivariate high frequency financial data using realized covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis, and covariance. It will be based on a fixed interval of time (e.g., a day or week), allowing...... the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions, and covariances change through time. In particular we provide confidence intervals for each of these quantities....

Health care: necessity or luxury good? A meta-regression analysis

OpenAIRE

Iordache, Ioana Raluca

2014-01-01

When estimating the influence income per capita exerts on health care expenditure, the research in the field offers mixed results. Studies employ different data, estimation techniques and models, which brings about the question whether these differences in research design play any part in explaining the heterogeneity of reported outcomes. By employing meta-regression analysis, the present paper analyzes 220 estimates of health spending income elasticity collected from 54 studies and finds tha...

Understanding the drive to escort: a cross-sectional analysis examining parental attitudes towards children’s school travel and independent mobility

Directory of Open Access Journals (Sweden)

Mammen George

2012-10-01

Full Text Available Abstract Background The declining prevalence of Active School Transportation (AST has been accompanied by a decrease in independent mobility internationally. The objective of this study was to compare family demographics and AST related perceptions of parents who let their children walk unescorted to/from school to those parents who escort (walk and drive their children to/from school. By comparing these groups, insight was gained into how we may encourage greater AST and independent mobility in youth living in the Greater Toronto and Hamilton Area, Canada. Methods This study involved a cross-sectional design, using data from a self-reported questionnaire (n =1,016 that examined parental perceptions and attitudes regarding AST. A multinomial logistic regression analysis was used to explore the differences between households where children travelled independently to school or were escorted. Results Findings revealed that unescorted children were: significantly older, the families spoke predominantly English at home, more likely to live within one kilometer from school, and their parents agreed to a greater extent that they chose to reside in the current neighborhood in order for their child to walk to/from school. The parents of the escorted children worried significantly more about strangers and bullies approaching their child as well as the traffic volume around school. Conclusions From both a policy and research perspective, this study highlights the value of distinguishing between mode (i.e., walking or driving and travel independence. For policy, our findings highlight the need for planning decisions about the siting of elementary schools to include considerations of the impact of catchment size on how children get to/from school. Given the importance of age, distance, and safety issues as significant correlates of independent mobility, research and practice should focus on the development and sustainability of non-infrastructure programs

Distance Based Root Cause Analysis and Change Impact Analysis of Performance Regressions

Directory of Open Access Journals (Sweden)

Junzan Zhou

2015-01-01

Full Text Available Performance regression testing is applied to uncover both performance and functional problems of software releases. A performance problem revealed by performance testing can be high response time, low throughput, or even being out of service. Mature performance testing process helps systematically detect software performance problems. However, it is difficult to identify the root cause and evaluate the potential change impact. In this paper, we present an approach leveraging server side logs for identifying root causes of performance problems. Firstly, server side logs are used to recover call tree of each business transaction. We define a novel distance based metric computed from call trees for root cause analysis and apply inverted index from methods to business transactions for change impact analysis. Empirical studies show that our approach can effectively and efficiently help developers diagnose root cause of performance problems.

Parental sedentary restriction, maternal parenting style, and television viewing among 10- to 11-year-olds.

Science.gov (United States)

Jago, Russell; Davison, Kirsten K; Thompson, Janice L; Page, Angie S; Brockman, Rowan; Fox, Kenneth R

2011-09-01

To examine whether parenting styles or practices were associated with children's television (TV) viewing. A total of 431 parent-child dyads (10- to 11-year-old children) from Bristol, United Kingdom, were included. Child and parent TV viewing were self-reported and categorized as 4 hours/day. Children reported maternal parenting style (authoritarian, authoritative, or permissive). Child-reported maternal and paternal sedentary restriction scores were combined to create a family-level restriction score. Multinomial logistic regression was used to examine whether child TV viewing was predicted by parenting style or family restriction. A greater proportion of children with permissive mothers watched >4 hours of TV per day, compared with children with authoritarian or authoritative mothers (P = .033). A greater proportion of children for whom both parents demonstrated high restriction watched 4 hours (vs 4 hours of TV per day was 5.2 times higher for children with permissive (versus authoritative) mothers (P = .010). Clinicians need to talk directly with parents about the need to place limitations on children's screen time and to encourage both parents to reinforce restriction messages.

Parent-Teen Communication and Pre-College Alcohol Involvement: A Latent Class Analysis

Science.gov (United States)

Abar, Caitlin C.; Fernandez, Anne C.; Wood, Mark D.

2011-01-01

Although parent-adolescent communication has been identified as important in delaying the onset and escalation of alcohol use, both the strength and direction of observed associations has varied in prior research with adolescents and college students. The current study categorizes parents according to alcohol-related communication and relates these categories to other parenting factors and late adolescent alcohol involvement. Method As part of a larger study, 1,007 college-bound teens and their parents were assessed. Teens were asked to report on their drinking behavior, and parents were asked about the occurrence of several specific alcohol-related communications with their teen, as well as additional parenting characteristics. Profiles of parent alcohol-related communication were derived using latent class analysis. Once the best fitting solution was determined, covariates were entered predicting class membership and investigating how classes were associated with additional parenting characteristics and teen alcohol use. Results A five-class solution provided the best fit to the data: Frequent, All Topics (28%); Moderate, All Topics (25%); Frequent, General Topics (25%); Frequent, Consequences and Limits (12%); and Infrequent, All Topics (10%). Covariate analyses demonstrated class differences with regard to parental modeling, monitoring, knowledge, and parent-teen relationship satisfaction, as well as for students’ intentions to join fraternities/sororities and alcohol use. Conclusions Findings from the current study add to a small but growing literature supporting the continuing influence of parents in late adolescence and suggest that the frequency and specificity of parent-teen communication are potentially informative for refined parent-based preventive interventions. PMID:21864983

What is good parental education? Interviews with parents who have attended parental education sessions.

Science.gov (United States)

Petersson, Kerstin; Petersson, Christer; Håkansson, Anders

2004-03-01

The aim of the study was to highlight the experiences and expectations of Swedish parents with respect to general parental education within child healthcare. Interviews were carried out with 25 parents who had attended education sessions. With a few exceptions the fathers did not take part, and those mothers who did comprised a relatively highly educated group; their views therefore predominate in this study. Socially vulnerable parents such as the unemployed and immigrants took part more sporadically in the meetings, which is why less material is available from these groups. The arrangement and analysis of the material was done using qualitative content analysis. We identified two main categories of importance: 'parental education content' and 'parental education structure'. The parents were on the whole satisfied with the content with respect to the child's physical and psychosocial development. On the other hand, first-time parents expressed a degree of uncertainty with respect to the new parent roles and parent relation and they thought that the education should place more emphasis on the interplay between the parents and between child and parents. The degree of confidence in the nurse as group leader was mainly high. The parents thought that the groups functioned well socially and were satisfied with the organization of the meetings. They did, however, demand clearer structure and framework with respect to the content. Since the aim of legally established parental education is to improve the conditions of childhood growth and to provide support to parents, it must be considered especially important to provide resources so that the socially vulnerable groups in the community may also be reached.

Associations of American Indian children's screen-time behavior with parental television behavior, parental perceptions of children's screen time, and media-related resources in the home.

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Barr-Anderson, Daheia J; Fulkerson, Jayne A; Smyth, Mary; Himes, John H; Hannan, Peter J; Holy Rock, Bonnie; Story, Mary

2011-09-01

American Indian children have high rates of overweight and obesity, which may be partially attributable to screen-time behavior. Young children's screen-time behavior is strongly influenced by their environment and their parents' behavior. We explored whether parental television watching time, parental perceptions of children's screen time, and media-related resources in the home are related to screen time (ie, television, DVD/video, video game, and computer use) among Oglala Lakota youth residing on or near the Pine Ridge Reservation in South Dakota. We collected baseline data from 431 child and parent/caregiver pairs who participated in Bright Start, a group-randomized, controlled, school-based obesity prevention trial to reduce excess weight gain. Controlling for demographic characteristics, we used linear regression analysis to assess associations between children's screen time and parental television watching time, parental perceptions of children's screen time, and availability of media-related household resources. The most parsimonious model for explaining child screen time included the children's sex, parental body mass index, parental television watching time, how often the child watched television after school or in the evening, parental perception that the child spent too much time playing video games, how often the parent limited the child's television time, and the presence of a VCR/DVD player or video game player in the home (F(7,367) = 14.67; P strategy for reducing overweight and obesity in American Indian children.

Does Parental Monitoring Moderate the Relation between Parent-Child Communication and Pre-Coital Sexual Behaviours among Urban, Minority Early Adolescents?

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Santa Maria, Diane; Markham, Christine; Swank, Paul; Baumler, Elizabeth; McCurdy, Sheryl; Tortolero, Susan

2014-01-01

This study examined parental monitoring (PM) as a potential moderator of the relation between parent-child communication (PCC) and pre-coital sexual behaviours (PCSB) in an urban, minority, early adolescent population. Seventh-grade students (n = 1609) reported PCC, PM and PCSB. Multivariable logistic regression was conducted to assess for…

A Latent Profile Analysis of Latino Parenting: The Infusion of Cultural Values on Family Conflict.

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Ayón, Cecilia; Williams, Lela Rankin; Marsiglia, Flavio F; Ayers, Stephanie; Kiehne, Elizabeth

The purpose of the present study was to (a) examine how acculturation and social support inform Latinos' parenting behaviors, controlling for gender and education; (b) describe parenting styles among Latino immigrants while accounting for cultural elements; and (c) test how these parenting styles are associated with family conflict. A 3 step latent profile analysis with the sample ( N = 489) revealed best fit with a 4 profile model ( n = 410) of parenting: family parenting ( n = 268, 65%), child-centered parenting ( n = 68, 17%), moderate parenting ( n = 60, 15%), and disciplinarian parenting ( n = 14, 3%). Parents' gender, acculturation, and social support significantly predicted profile membership. Disciplinarian and moderate parenting were associated with more family conflict. Recommendations include integrating culturally based parenting practices as a critical element to family interventions to minimize conflict and promote positive youth development.

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

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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.