Literature DB >> 31501908

Patterns of exposure to adverse childhood experiences and their associations with mental health: a survey of 1346 university students in East Asia.

Grace W K Ho1, D Bressington2, T Karatzias3,4, W T Chien5, S Inoue6, P J Yang7, A C Y Chan2, P Hyland8.   

Abstract

INTRODUCTION: Adverse childhood experiences (ACEs) constitute a significant global mental health burden. Prior studies typically investigated the impact of ACEs on mental health using a cumulative risk approach; most ACEs studies were also conducted in Western settings.
PURPOSE: This study aimed to examine ACEs using a pattern-based approach and assess their associations with mental health outcomes by early adulthood in East Asia.
METHODS: The present study included measures of exposure to 13 categories of ACEs, depression, anxiety, maladjustment, and posttraumatic stress in a sample of 1346 university students from Hong Kong, China, Taiwan, and Japan.
RESULTS: Latent class analysis indicated three distinct patterns of ACE exposure: Class 1: Low ACEs (76.0%); Class 2: Household Violence (20.6%); and Class 3: Household Dysfunction (3.4%). Those representing Class 3 had significantly more ACEs compared with those in Classes 1 or 2. Controlling for age and sex, those in Class 2 reported significantly higher depression and maladjustment symptoms compared with those in Class 1; both Classes 2 and 3 had significantly higher anxiety symptoms and odds for meeting diagnostic criteria for posttraumatic stress disorders compared with those in Class 1.
CONCLUSIONS: Study findings suggest that young adults' mental health, at least under certain contexts, is more closely linked with the nature and pattern of ACE co-occurrence, rather than the number of ACEs.

Entities:  

Keywords:  Adverse childhood experiences; East Asia; Latent class analysis; Mental health; Young adults

Mesh:

Year:  2019        PMID: 31501908     DOI: 10.1007/s00127-019-01768-w

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


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