3 recherche sur le mot-clé 'longitudinal modeling'

Developmental trajectories of externalizing and internalizing linked to harsh parenting: The role of ethnicity and socioeconomic status / Tochukwu NWEZE in Development and Psychopathology, 37-5 (December 2025)  

Public ISBD [article]  inDevelopment and Psychopathology > 37-5 (December 2025) . - p.2539-2550 Titre : Developmental trajectories of externalizing and internalizing linked to harsh parenting: The role of ethnicity and socioeconomic status Type de document : texte imprimé Auteurs : Tochukwu NWEZE, Auteur ; Jamie L. HANSON, Auteur Article en page(s) : p.2539-2550 Langues : Anglais (eng) Mots-clés : Harsh parenting  externalizing symptoms  internalizing symptoms  longitudinal modeling Index. décimale : PER Périodiques Résumé : Past studies that examined externalizing and internalizing symptoms in separate samples have found different trajectories associated with harsh parenting. The present study uses a complex set of longitudinal modeling to investigate the developmental trajectories of internalizing and externalizing symptoms associated with harsh parenting. We also explore the moderation of socioeconomic status and ethnicity by testing differences between income and racial groups. Using bivariate and multigroup latent change score modeling, we analyzed 12,909 participants from the Millennium Cohort Study. Results of the bivariate latent change score model showed that harsh parenting had a bidirectional association with externalizing symptoms but only a unidirectional association with internalizing symptoms. A further analysis using multi-group modeling showed that the association between harsh parenting and externalizing and internalizing symptoms differed across ethnic backgrounds but much less on socioeconomic status. Specifically, initial levels of harsh parenting predicted an increase in externalizing symptoms among White participants but not in non-White participants, and these ethnic differences cut across socioeconomic status classifications in a test of the interaction of ethnicity and socioeconomic status. Taken together, our findings suggest that the prevailing cultural norms surrounding harsh parenting may affect the degree to which it negatively impacts children’s mental health. En ligne : https://dx.doi.org/10.1017/S0954579425000306 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=572 [article] Developmental trajectories of externalizing and internalizing linked to harsh parenting: The role of ethnicity and socioeconomic status [texte imprimé] / Tochukwu NWEZE, Auteur ; Jamie L. HANSON, Auteur . - p.2539-2550. Langues : Anglais (eng) in Development and Psychopathology > 37-5 (December 2025) . - p.2539-2550 Mots-clés : Harsh parenting  externalizing symptoms  internalizing symptoms  longitudinal modeling Index. décimale : PER Périodiques Résumé : Past studies that examined externalizing and internalizing symptoms in separate samples have found different trajectories associated with harsh parenting. The present study uses a complex set of longitudinal modeling to investigate the developmental trajectories of internalizing and externalizing symptoms associated with harsh parenting. We also explore the moderation of socioeconomic status and ethnicity by testing differences between income and racial groups. Using bivariate and multigroup latent change score modeling, we analyzed 12,909 participants from the Millennium Cohort Study. Results of the bivariate latent change score model showed that harsh parenting had a bidirectional association with externalizing symptoms but only a unidirectional association with internalizing symptoms. A further analysis using multi-group modeling showed that the association between harsh parenting and externalizing and internalizing symptoms differed across ethnic backgrounds but much less on socioeconomic status. Specifically, initial levels of harsh parenting predicted an increase in externalizing symptoms among White participants but not in non-White participants, and these ethnic differences cut across socioeconomic status classifications in a test of the interaction of ethnicity and socioeconomic status. Taken together, our findings suggest that the prevailing cultural norms surrounding harsh parenting may affect the degree to which it negatively impacts children’s mental health. En ligne : https://dx.doi.org/10.1017/S0954579425000306 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=572

How nonshared environmental factors come to correlate with heredity / Christopher R. BEAM in Development and Psychopathology, 34-1 (February 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-1 (February 2022) . - p.321-333 Titre : How nonshared environmental factors come to correlate with heredity Type de document : texte imprimé Auteurs : Christopher R. BEAM, Auteur ; Patrizia PEZZOLI, Auteur ; Jane MENDLE, Auteur ; S. Alexandra BURT, Auteur ; Michael C. NEALE, Auteur ; Steven M. BOKER, Auteur ; Pamela K. KEEL, Auteur ; Kelly L. KLUMP, Auteur Article en page(s) : p.321-333 Langues : Anglais (eng) Mots-clés : affect  developmental behavioral genetics  gene?environment interplay  longitudinal modeling  mood Index. décimale : PER Périodiques Résumé : Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between individuals and their environments (i.e., phenotype?environment effects) can explain the emergence of observed differences over time. Phenotype?environment models, however, would require violation of the independence assumption of standard behavioral genetic models; that is, uncorrelated genetic and environmental factors. We review how specification of phenotype?environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype?environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene?environment correlation over time, the advantages and challenges of including gene?environment correlation in longitudinal twin models, and recommendations for future research. En ligne : http://dx.doi.org/10.1017/s0954579420001017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474 [article] How nonshared environmental factors come to correlate with heredity [texte imprimé] / Christopher R. BEAM, Auteur ; Patrizia PEZZOLI, Auteur ; Jane MENDLE, Auteur ; S. Alexandra BURT, Auteur ; Michael C. NEALE, Auteur ; Steven M. BOKER, Auteur ; Pamela K. KEEL, Auteur ; Kelly L. KLUMP, Auteur . - p.321-333. Langues : Anglais (eng) in Development and Psychopathology > 34-1 (February 2022) . - p.321-333 Mots-clés : affect  developmental behavioral genetics  gene?environment interplay  longitudinal modeling  mood Index. décimale : PER Périodiques Résumé : Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between individuals and their environments (i.e., phenotype?environment effects) can explain the emergence of observed differences over time. Phenotype?environment models, however, would require violation of the independence assumption of standard behavioral genetic models; that is, uncorrelated genetic and environmental factors. We review how specification of phenotype?environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype?environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene?environment correlation over time, the advantages and challenges of including gene?environment correlation in longitudinal twin models, and recommendations for future research. En ligne : http://dx.doi.org/10.1017/s0954579420001017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474

Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial / Kylie K. HARRALL ; Deborah H. GLUECK ; Elysia Poggi DAVIS ; Keith E. MULLER ; Dana DABELEA ; Jenalee R. DOOM in Development and Psychopathology, 37-4 (October 2025)  

Public ISBD [article]  inDevelopment and Psychopathology > 37-4 (October 2025) . - p.1721-1729 Titre : Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial Type de document : texte imprimé Auteurs : Kylie K. HARRALL, Auteur ; Deborah H. GLUECK, Auteur ; Elysia Poggi DAVIS, Auteur ; Keith E. MULLER, Auteur ; Dana DABELEA, Auteur ; Jenalee R. DOOM, Auteur Article en page(s) : p.1721-1729 Langues : Anglais (eng) Mots-clés : Development  longitudinal modeling  methods  sensitive periods  tutorial Index. décimale : PER Périodiques Résumé : Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention. En ligne : https://dx.doi.org/10.1017/S0954579424001299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567 [article] Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial [texte imprimé] / Kylie K. HARRALL, Auteur ; Deborah H. GLUECK, Auteur ; Elysia Poggi DAVIS, Auteur ; Keith E. MULLER, Auteur ; Dana DABELEA, Auteur ; Jenalee R. DOOM, Auteur . - p.1721-1729. Langues : Anglais (eng) in Development and Psychopathology > 37-4 (October 2025) . - p.1721-1729 Mots-clés : Development  longitudinal modeling  methods  sensitive periods  tutorial Index. décimale : PER Périodiques Résumé : Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention. En ligne : https://dx.doi.org/10.1017/S0954579424001299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567