期刊
PSYCHOLOGICAL MEDICINE
卷 48, 期 15, 页码 2562-2572出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291718000181
关键词
Childhood adversity; sensitive period; life course; recency; accumulation; psychopathology
资金
- UK Medical Research Council [102215/2/13/2]
- Wellcome Trust [102215/2/13/2]
- National Institute of Mental Health of the National Institutes of Health [K01MH102403, R01MH113930]
- Brain & Behavior Research Foundation
Background. Although childhood adversity is a potent determinant of psychopathology, relatively little is known about how the characteristics of adversity exposure, including its developmental timing or duration, influence subsequent mental health outcomes. This study compared three models from life course theory (recency, accumulation, sensitive period) to determine which one(s) best explained this relationship. Methods. Prospective data came from the Avon Longitudinal Study of Parents and Children (n = 7476). Four adversities commonly linked to psychopathology (caregiver physical/emotional abuse; sexual/physical abuse; financial stress; parent legal problems) were measured repeatedly from birth to age 8. Using a statistical modeling approach grounded in least angle regression, we determined the theoretical model(s) explaining the most variability (r(2)) in psychopathology symptoms measured at age 8 using the Strengths and Difficulties Questionnaire and evaluated the magnitude of each association. Results. Recency was the best fitting theoretical model for the effect of physical/sexual abuse (girls r(2) = 2.35%; boys r(2) = 1.68%). Both recency (girls r(2) = 1.55%) and accumulation (boys r(2) = 1.71%) were the best fitting models for caregiver physical/emotional abuse. Sensitive period models were chosen alone (parent legal problems in boys r(2) = 0.29%) and with accumulation (financial stress in girls r(2) = 3.08%) more rarely. Substantial effect sizes were observed (standardized mean differences = 0.22-1.18). Conclusions. Child psychopathology symptoms are primarily explained by recency and accumulation models. Evidence for sensitive periods did not emerge strongly in these data. These findings underscore the need to measure the characteristics of adversity, which can aid in understanding disease mechanisms and determining how best to reduce the consequences of exposure to adversity.
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