Childhood adversity patterns differentially cluster with mental disorders and socioeconomic indicators in a large Swiss community sample.
Détails
Télécharger: Xu_21_ChildhoodAdversityPatterns.pdf (685.69 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_6220A866CE7C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Childhood adversity patterns differentially cluster with mental disorders and socioeconomic indicators in a large Swiss community sample.
Périodique
Comprehensive psychiatry
ISSN
1532-8384 (Electronic)
ISSN-L
0010-440X
Statut éditorial
Publié
Date de publication
01/2022
Peer-reviewed
Oui
Volume
112
Pages
152282
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Résumé
Exposure to childhood adversities (CHAD) has been found to be strongly associated with individuals' mental health and social development. Recently, it has been suggested that certain CHAD patterns exist in the population, which are more closely related to individuals' later mental health than the simple summation of adversities. The current study aims 1) to establish CHAD patterns based on self-reported child abuse and family dysfunction and 2) to assess their associations with mental disorders and sociodemographic indicators reported in adulthood.
Data used in this cross-sectional study were derived from the representative CoLaus/PsyCoLaus population-based cohort (N = 5111, 35 to 88 years). Latent class analysis was conducted for the identification of CHAD patterns, while their associations with mental disorders and socioeconomic achievements (e. g. education and income) were investigated using correspondence analysis.
Four CHAD patterns emerged. While the majority (70.7%) of the sample showed an overall low adversity pattern (c1), 13.6% had not been raised by both of their biological parents due to divorce or being placed in foster home (c2), 11.0% had been raised by conflictive / dysfunctional / abusive parents (c3), and 4.7% showed high overall adversities (c4). Patterns c3 and c4 were most strongly associated with various mental disorders, especially c3 with internalizing anxiety disorders, while c2 was closely related to lower educational achievement.
Four CHAD patterns characterised by varying levels of child abuse and family dysfunction existed in this community sample. They yielded distinct associations with mental disorders and socioeconomic indicators.
Data used in this cross-sectional study were derived from the representative CoLaus/PsyCoLaus population-based cohort (N = 5111, 35 to 88 years). Latent class analysis was conducted for the identification of CHAD patterns, while their associations with mental disorders and socioeconomic achievements (e. g. education and income) were investigated using correspondence analysis.
Four CHAD patterns emerged. While the majority (70.7%) of the sample showed an overall low adversity pattern (c1), 13.6% had not been raised by both of their biological parents due to divorce or being placed in foster home (c2), 11.0% had been raised by conflictive / dysfunctional / abusive parents (c3), and 4.7% showed high overall adversities (c4). Patterns c3 and c4 were most strongly associated with various mental disorders, especially c3 with internalizing anxiety disorders, while c2 was closely related to lower educational achievement.
Four CHAD patterns characterised by varying levels of child abuse and family dysfunction existed in this community sample. They yielded distinct associations with mental disorders and socioeconomic indicators.
Mots-clé
Adult, Adverse Childhood Experiences, Child, Child Abuse, Cross-Sectional Studies, Humans, Mental Disorders/epidemiology, Risk Factors, Socioeconomic Factors, Switzerland/epidemiology, Child abuse, Childhood adversity, Clustering, Correspondence analysis, Domestic violence, Family dysfunction, Latent class analysis
Pubmed
Web of science
Open Access
Oui
Création de la notice
15/11/2021 15:30
Dernière modification de la notice
23/03/2023 6:53