Peer-reviewed article
Longitudinal patterns of threat- and deprivation-based childhood adversity and their impact on adolescent drinking, smoking, and depression.
Kwon E, Adekunle D, Lin HC, Wong SW, Asare M et al. ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study analysed longitudinal data from a large US cohort to understand how different types of childhood adversity—threat-based (like violence) and deprivation-based (like poverty)—affect adolescent health outcomes. Researchers identified four distinct patterns of adversity exposure between ages 3 and 9 and tracked their effects into adolescence. Youth with the highest and most persistent exposure to both types of adversity had significantly higher rates of smoking, drinking, and depression by age 15. The findings suggest that effective interventions need to account for the specific types and timing of adversity, not just overall exposure levels.
Key points
- Four distinct longitudinal patterns of adversity exposure were identified: high-decreasing deprivation with high-decreasing threat; low-stable deprivation with low-decreasing threat (minimal exposure); moderate-increasing deprivation with high-decreasing threat; and low-stable deprivation with moder
- Youth with the highest exposure to both threat and deprivation had significantly higher risk of smoking, drinking, and depression at age 15 compared to the minimal exposure group
- The type and timing of adversity across development shaped youth outcomes, not only cumulative severity
- Interventions may need tailoring to specific types and developmental timing of adversity exposures rather than addressing overall adversity levels alone
Limitations
The study uses data from a single longitudinal cohort in the United States, which may limit generalisability to other contexts. The analysis does not establish causal mechanisms explaining how different adversity patterns affect adolescent outcomes.
Abstract
Purpose Emerging neuroimaging and biopsychological evidence suggests that adverse childhood experiences (ACEs) may have distinct effects on youth development depending on their type, timing, and duration. However, much of the existing research has emphasized cumulative exposure, often overlooking the unique characteristics of these experiences. The present study, therefore, aimed to (1) identify heterogeneous patterns of ACEs by accounting for both type and timing, and (2) examine the differential effects of these patterns on youth substance use and depression. Methods We used longitudinal data from the Fragile Families and Child Wellbeing Study (FFCWS) collected when youth were aged 3, 5, and 9 years. Longitudinal patterns of exposure to threat and deprivation were examined using parallel growth mixture modeling. Results We identified four latent classes: (1) high-decreasing deprivation and high-decreasing threat; (2) low-stable deprivation and low-decreasing threat (minimal exposure group); (3) moderate-increasing deprivation and high-decreasing threat; and (4) low-stable deprivation and moderate-decreasing threat. Compared with class 2, youth in class 1, the group with the highest exposure had significantly higher risks of smoking, drinking, and depression at age 15. Discussion Youth outcomes are shaped not only by the cumulative severity of adversity but also by the types and timing of adversity across development. Findings from this study highlight that interventions may need to be tailored not only to the overall level of adversity a child experiences but also to the specific types and developmental timing of exposures.
Findings the Hub has extracted
Each claim below is labelled by its type of design and links back to this report.
- Intervention
- Longitudinal observation and classification of children by adversity exposure patterns; no intervention was tested
- Population
- Youth from the Fragile Families and Child Wellbeing Study, with assessments at ages 3, 5, and 9 years, and outcomes measured at age 15
Key finding
Four distinct latent classes of adversity patterns were identified based on type and timing