Dataset Information

Adverse childhood experiences and cognitive function in adulthood: examining the roles of depressive symptoms and inflammation in a prospective cohort study.

ABSTRACT:

Purpose

Adverse childhood experiences (ACEs) have been associated with cognitive decline in adulthood. However, the underlying mechanisms implicated remain unclear. This study investigated depressive symptoms and systemic inflammation as potential mediators of the association between ACEs and later cognitive function.

Methods

Participants were adults aged 50 + from the English Longitudinal Study of Ageing (N = 3029; 54.8% female). Measures included self-reported ACEs at wave 3 (2006-2007), C-reactive protein (CRP) and depressive symptoms at wave 4 (2008-2009), and cognitive function at waves 3 and 7 (2014-2015). Mediation analyses examined the direct associations between ACEs and cognitive function at wave 7 and the indirect associations via depressive symptoms and CRP at wave 4. In a first set of analyses, models were adjusted for sociodemographic factors and baseline cognitive function. In a second set of analyses, models were additionally adjusted for BMI and health behaviours (n = 1915).

Results

Cumulative ACEs exposure positively predicted depressive symptoms (b = 0.184, s.e. = 0.034, p < .001), which in turn predicted poorer cognitive function at wave 7 (b = - 0.035, s.e. = 0.008, p < .001). ACEs also positively predicted systemic inflammation as measured by CRP (b = 0.031, s.e. = 0.01, p = 0.0016). However, CRP did not mediate the association between ACEs and later cognitive function (b = - 0.0002, 95% CI: - 0.002, 0.002).

Conclusion

These findings suggest that ACEs may be related to cognitive decline partly via depressive symptoms and corroborate prior research linking ACEs with systemic inflammation in adulthood.

SUBMITTER: Lowry E

PROVIDER: S-EPMC9244111 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Prevalence of mental health problems among US youth has increased in recent years, and there is a dearth of epidemiological research at the state level that integrates risk and protective factors into population-based surveillance. We utilized the developmental assets framework to measure protective factors; we assessed (1) prevalence of depressive symptoms, high adverse childhood experiences (ACEs; ≥ 4 ACEs), and few developmental assets (≤ 2 assets) over time, and (2) associations among these three phenomena. Using 2016 and 2019 Minnesota Student Survey data, we utilized descriptive statistics, multivariable logistic regression, and post-estimation analyses (adjusting for school clustering and demographics). Using pooled data, we examined how high ACEs and few assets predicted depressive symptoms and we tested three-way interactions for high ACEs, few assets, and survey year. There were statistically significant increases in prevalence of depressive symptoms, high ACEs, and few assets between 2016 and 2019. High ACEs (AOR = 2.74; 95% CI = 2.61, 2.89) and few assets (AOR = 3.13; 95% CI = 3.00, 3.26) were positively related to depressive symptoms; interactions were statistically significant. Additive interactions showed that, compared to their counterparts, adolescents with high ACEs and few assets had the highest prevalence of depressive symptoms, and this group exhibited the largest increase in prevalence between 2016 and 2019. Depressive symptoms are highest among adolescents with high risk and few protective factors, and recent increases in the prevalence of depressive symptoms appear to have disproportionately occurred among these adolescents. We offer a potential roadmap for following the Centers for Disease Control and Prevention recommendations to integrate ACEs and protective factors into local public health efforts.Supplementary informationThe online version contains supplementary material available at 10.1007/s42844-022-00052-2.