Longitudinal association of dynamic changes in perceived family environment profiles and psychological problems among children: a latent transition analysis / Yanling YUE in Development and Psychopathology, 38-4 (October 2026)  

Public ISBD [article]  inDevelopment and Psychopathology > 38-4 (October 2026) . - p.2029-2041 Titre : Longitudinal association of dynamic changes in perceived family environment profiles and psychological problems among children: a latent transition analysis Type de document : texte imprimé Auteurs : Yanling YUE, Auteur ; Chuncheng HUANG, Auteur ; Yanwen YU, Auteur ; Zimao WANG, Auteur ; Yong-jin LIU, Auteur ; Nisha YAO, Auteur ; Wenting MU, Auteur Article en page(s) : p.2029-2041 Langues : Anglais (eng) Mots-clés : externalizing  family environment  internalizing  latent profile analysis  latent transition analysis Index. décimale : PER Périodiques Résumé : This study aimed to identify distinct profiles of children’s perceived family environments and examine how these profiles and their transitions are associated with psychological symptoms. Data were drawn from 9,786 children (mean age = 9.92 years; 47.8% female; 55.7% White) in the Adolescent Brain Cognitive Development Study. Latent profile analysis identified four family environment profiles at both baseline and 1-year follow-up: Harmonious, Moderate with Two Loving Caregivers, Moderate with One Loving Caregiver, and Adverse. Overall, children in the first two profiles exhibited fewer psychological symptoms than those in the latter two profiles. Latent transition analysis revealed that the Harmonious Profile was highly stable (85% unchanged), whereas only 39–43% of children in the remaining three profiles stayed in their baseline profile at the one-year follow-up. Notably, transition trajectories were predictive of psychological problems. Specifically, transitions away from the Harmonious Profile were generally associated with higher internalizing and externalizing symptoms (Cohen’s ds = 0.18–0.37), while shifts from Moderate with One Loving Caregiver and Adverse profiles to the Harmonious Profile were linked to lower externalizing symptoms (ds = 0.27 and 0.58). These findings underscore the importance of longitudinal monitoring of perceived family environments for supporting mental health during late childhood. En ligne : https://dx.doi.org/10.1017/S0954579426101783 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594 [article] Longitudinal association of dynamic changes in perceived family environment profiles and psychological problems among children: a latent transition analysis [texte imprimé] / Yanling YUE, Auteur ; Chuncheng HUANG, Auteur ; Yanwen YU, Auteur ; Zimao WANG, Auteur ; Yong-jin LIU, Auteur ; Nisha YAO, Auteur ; Wenting MU, Auteur . - p.2029-2041. Langues : Anglais (eng) in Development and Psychopathology > 38-4 (October 2026) . - p.2029-2041 Mots-clés : externalizing  family environment  internalizing  latent profile analysis  latent transition analysis Index. décimale : PER Périodiques Résumé : This study aimed to identify distinct profiles of children’s perceived family environments and examine how these profiles and their transitions are associated with psychological symptoms. Data were drawn from 9,786 children (mean age = 9.92 years; 47.8% female; 55.7% White) in the Adolescent Brain Cognitive Development Study. Latent profile analysis identified four family environment profiles at both baseline and 1-year follow-up: Harmonious, Moderate with Two Loving Caregivers, Moderate with One Loving Caregiver, and Adverse. Overall, children in the first two profiles exhibited fewer psychological symptoms than those in the latter two profiles. Latent transition analysis revealed that the Harmonious Profile was highly stable (85% unchanged), whereas only 39–43% of children in the remaining three profiles stayed in their baseline profile at the one-year follow-up. Notably, transition trajectories were predictive of psychological problems. Specifically, transitions away from the Harmonious Profile were generally associated with higher internalizing and externalizing symptoms (Cohen’s ds = 0.18–0.37), while shifts from Moderate with One Loving Caregiver and Adverse profiles to the Harmonious Profile were linked to lower externalizing symptoms (ds = 0.27 and 0.58). These findings underscore the importance of longitudinal monitoring of perceived family environments for supporting mental health during late childhood. En ligne : https://dx.doi.org/10.1017/S0954579426101783 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594

Testing a theory-driven factor structure of the autism-spectrum quotient / Yiqin ZHU in Autism Research, 15-9 (September 2022)  

Public ISBD [article]  inAutism Research > 15-9 (September 2022) . - p.1710-1718 Titre : Testing a theory-driven factor structure of the autism-spectrum quotient Type de document : texte imprimé Auteurs : Yiqin ZHU, Auteur ; Wenting MU, Auteur ; Marianne G. CHIRICA, Auteur ; Howard BERENBAUM, Auteur Article en page(s) : p.1710-1718 Langues : Anglais (eng) Mots-clés : Anhedonia  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Factor Analysis, Statistical  Humans  Surveys and Questionnaires  autism  autism quotient  autism spectrum  autistic traits  factor analysis Index. décimale : PER Périodiques Résumé : The Autism-Spectrum Quotient (AQ) is a popular instrument used to assess the degree to which individuals exhibit features of autism spectrum conditions (ASC). The current study aimed to develop a theory-driven factor structure of the AQ that would fit as well across samples as the 12 previously proposed factor structures, all of which, except for the original Baron-Cohen model, had been developed on the basis of exploratory factor analysis (EFA) or principal component analysis. We first proposed a six-factor solution: (1) social anhedonia; (2) interest in details/patterns; (3) imagination ability; (4) desire for predictability/routine; (5) social cognition; and (6) social discourse convention. We tested the six-factor structure and made final item selections (27 items) with EFA using data from college students (n = 503). Then, we empirically tested alternative factor structure models in three other independent samples (ns = 503; 1263; 1641) using confirmatory factor analysis. Results indicated that our model fit as well, if not better, than all of the other models across samples, regardless of parameter estimation methods and software packages. Overall, the theory-driven replicable six-factor structure that we report holds the potential to be used to measure the six domains of features that we identified in the AQ. LAY SUMMARY: Questionnaire measures of autism spectrum conditions have typically been used to measure approximately four broad dimensions. Our study suggests that the Autism-Spectrum Quotient can be used to measure six more narrowly defined dimensions: social anhedonia, interest in details/patterns, imagination ability, desire for predictability/routine, social cognition, and social discourse convention. Additional work is needed to develop measures of a much wider variety of autism spectrum features. En ligne : http://dx.doi.org/10.1002/aur.2763 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483 [article] Testing a theory-driven factor structure of the autism-spectrum quotient [texte imprimé] / Yiqin ZHU, Auteur ; Wenting MU, Auteur ; Marianne G. CHIRICA, Auteur ; Howard BERENBAUM, Auteur . - p.1710-1718. Langues : Anglais (eng) in Autism Research > 15-9 (September 2022) . - p.1710-1718 Mots-clés : Anhedonia  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Factor Analysis, Statistical  Humans  Surveys and Questionnaires  autism  autism quotient  autism spectrum  autistic traits  factor analysis Index. décimale : PER Périodiques Résumé : The Autism-Spectrum Quotient (AQ) is a popular instrument used to assess the degree to which individuals exhibit features of autism spectrum conditions (ASC). The current study aimed to develop a theory-driven factor structure of the AQ that would fit as well across samples as the 12 previously proposed factor structures, all of which, except for the original Baron-Cohen model, had been developed on the basis of exploratory factor analysis (EFA) or principal component analysis. We first proposed a six-factor solution: (1) social anhedonia; (2) interest in details/patterns; (3) imagination ability; (4) desire for predictability/routine; (5) social cognition; and (6) social discourse convention. We tested the six-factor structure and made final item selections (27 items) with EFA using data from college students (n = 503). Then, we empirically tested alternative factor structure models in three other independent samples (ns = 503; 1263; 1641) using confirmatory factor analysis. Results indicated that our model fit as well, if not better, than all of the other models across samples, regardless of parameter estimation methods and software packages. Overall, the theory-driven replicable six-factor structure that we report holds the potential to be used to measure the six domains of features that we identified in the AQ. LAY SUMMARY: Questionnaire measures of autism spectrum conditions have typically been used to measure approximately four broad dimensions. Our study suggests that the Autism-Spectrum Quotient can be used to measure six more narrowly defined dimensions: social anhedonia, interest in details/patterns, imagination ability, desire for predictability/routine, social cognition, and social discourse convention. Additional work is needed to develop measures of a much wider variety of autism spectrum features. En ligne : http://dx.doi.org/10.1002/aur.2763 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=483

---

1 (1 - 2 / 2) Par page : 25 50 100 200