Dataset Information

Adverse childhood experiences and deleterious outcomes in adulthood: A consideration of the simultaneous role of genetic and environmental influences in two independent samples from the United States.

ABSTRACT:

Background

Adverse childhood experiences (ACEs) are a potent risk factor. Despite these findings, studies have also recognized the importance of considering additional sources of genetic and environmental influence that cluster within families.

Objective

To properly control for latent sources of genetic and within-family environmental influences and isolate the association between ACEs and the following outcomes in adulthood: physical health, depressive symptoms, educational attainment, income attainment, alcohol problems, and antisocial behavior.

Participants and setting

Two independent samples of twins and siblings from the United States: the Midlife Development in the United States (MIDUS) study (N = 862) and the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 3112).

Methods

Sibling comparison models, which control for latent sources of genetic and within-family environmental influences, were estimated to examine whether differential exposure to ACEs was associated with the examined outcomes.

Results

Families that experienced more adversity also experienced more deleterious outcomes. However, siblings that experienced more adversity were no more likely to experience deleterious outcomes than their co-siblings. However, greater exposure to ACEs was associated with increases in depressive symptoms (Add Health). Additional models revealed that the similarity between siblings from the same family stemmed from latent sources of within-family environmental influences not captured by traditional ACEs measures.

Conclusions

Considering genetic influences and additional latent sources of within-family influences is crucial in isolating the effects of ACEs. Currently employed ACEs measures may not adequately capture the full range of impactful sources of family-level environmental influence.

SUBMITTER: Schwartz JA

PROVIDER: S-EPMC6943915 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Publications

Adverse childhood experiences and deleterious outcomes in adulthood: A consideration of the simultaneous role of genetic and environmental influences in two independent samples from the United States.

Schwartz Joseph A JA Wright Emily M EM Valgardson Bradon A BA

Child abuse & neglect 20181231

<h4>Background</h4>Adverse childhood experiences (ACEs) are a potent risk factor. Despite these findings, studies have also recognized the importance of considering additional sources of genetic and environmental influence that cluster within families.<h4>Objective</h4>To properly control for latent sources of genetic and within-family environmental influences and isolate the association between ACEs and the following outcomes in adulthood: physical health, depressive symptoms, educational attai ...[more]

PMID: 30605796

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Project description:BackgroundThe relationship between adverse childhood experiences (ACEs) and adverse adulthood experiences (AAEs) and their association with incident cardiovascular disease (CVD) have not been extensively studied. Considering social support, we evaluated the complex relations of ACEs and AAEs with incident CVD.MethodsThis prospective cohort study used data from the 2014 life course survey and the 2015 and 2018 surveys of the China Health and Retirement Longitudinal Study, a national survey of Chinese adults aged ≥ 45 years from 28 provinces across China. The study population included 5836 individuals (mean [SD] age, 59.59 [8.22] years, 49.7% were males). Information on ACEs, AAEs, young adulthood social support, health behavior factors, health status factors, and demographics was measured. Cox regression models, the difference method to estimate the mediation proportion, and the additive and multiplicative interactions were performed. Subgroup and sensitivity analyses were also conducted.ResultsDuring follow-up, 789 incident cases of CVD occurred. The fully adjusted model, including demographics, health behaviors, health status factors (e.g., depressive symptoms), and social support as control variables, demonstrated that the overall number of ACEs (Hazard ratio [HR]: 1.11, 95% CI: 1.08 to 1.14) and AAEs (HR: 1.19, 95% CI: 1.16 to 1.22) were associated with an increased risk of incident CVD. A dose-response relationship existed between the number of ACEs or AAEs and incident CVD risk. The overall AAEs were found to mediate 17.7% (95% CI: 8.2 to 34.2%) of the association between ACEs and incident CVD. Moreover, a significant additive interaction between ACEs and AAEs was detected (RERI [95% CI]: 0.32 [0.09 to 0.56]). Compared with adults without exposure to both ACE and AAE, those with exposure to both at least one ACE and one AAE indicator had the highest risk of incident CVD (HR: 1.96, 95% CI: 1.72 to 2.23).ConclusionsExposure to ACEs or AAEs was independently associated with an increased risk of incident CVD among Chinese middle-aged and older adults in a dose-response manner, and the overall AAEs partially mediated the association between ACEs and incident CVD. Preventive measures aimed at addressing either ACEs or AAEs alone may not significantly reduce the risk of CVD later in life. The necessity of a comprehensive life-course health strategy targeting the prevention of adversity merits increased attention.

Project description:BackgroundAdverse childhood experiences (ACEs) can have lasting effects on adult health and survival. In this study, we aimed to examine how the cumulative number and clustering patterns of ACEs were related to premature mortality.MethodsParticipants (N=46 129; 45% White, 48% Black; 49·5% females) were offspring (born in 1959-1966) of participants enrolled in the Collaborative Perinatal Project (CPP). We conducted latent class analysis to examine the clustering patterns of ACEs assessed between children's birth and age seven. We also calculated the cumulative ACE scores of 13 individual ACEs. Cox regression models were used to examine the associations of ACE clusters and scores with risk of premature mortality from adolescence to mid-adulthood.FindingsAt the start of the follow-up for mortality in 1979, participants were 12-20 years old (Mean=15·99 years), and within the 38-year follow-up through 2016, 3 344 deaths were observed among the 46 129 CPP offspring. Five latent classes of ACEs were identified. Compared to children with Low Adversity (48% of the sample), children in Family Instability (9%, HR=1·28, 95%CI 1·07-1·53), Poverty & Crowded Housing (21%, HR=1·41, 95%CI 1·24-1·62), and Poverty & Parental Separation (19%, HR=1·50, 95%CI 1·33-1·68) classes had higher hazards of premature mortality. In addition, children with 2 (HR=1·27, 95%CI 1·14-1·41), 3 (HR=1·29, 95%CI 1·15-1·45), and 4+ (HR=1·45, 95%CI 1·30-1·61) ACEs had higher hazards of mortality than those with no ACE. The clusters of Poverty & Crowded Housing (HR=1·28, 95%CI 1·10-1·49) and Poverty & Parental Separation (HR=1·23, 95%CI 1·02-1·48) remained associated with higher risk of premature mortality, beyond the cumulative risk of higher number of ACEs (HR=1·05, 95%CI 1·01-1·08).InterpretationAbout half of the CPP cohort experienced early life adversities that clustered into four distinct patterns, which were associated with different risk of premature mortality. It is important to deepen our understanding of how specific clusters of childhood adversities affect health and premature mortality to better inform approaches to prevention and interventions.

Dataset Information

Adverse childhood experiences and deleterious outcomes in adulthood: A consideration of the simultaneous role of genetic and environmental influences in two independent samples from the United States.

Background

Objective

Participants and setting

Methods

Results

Conclusions

Publications

Adverse childhood experiences and deleterious outcomes in adulthood: A consideration of the simultaneous role of genetic and environmental influences in two independent samples from the United States.

Similar Datasets

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