Childhood maltreatment and health in the UK Biobank: triangulation of outcome-wide and polygenic risk score analyses.

BACKGROUND: Childhood maltreatment is common globally and impacts morbidity, mortality, and well-being. Our understanding of its impact is constrained by key substantive and methodological limitations of extant research, including understudied physical health outcomes and bias due to unmeasured confounding. We address these limitations through a large-scale outcome-wide triangulation study. METHODS: We performed two outcome-wide analyses (OWAs) in the UK Biobank. First, we examined the relationship between self-reported maltreatment exposure (number of maltreatment types, via Childhood Trauma Screener) and 414 outcomes in a sub-sample of 157,316 individuals using generalized linear models ("observational OWA"). Outcomes covered a broad range of health themes including health behaviors, cardiovascular disease, digestive health, socioeconomic status, and pain. Second, we examined the relationship between a polygenic risk score for maltreatment and 298 outcomes in a non-overlapping sample of 243,006 individuals ("genetic OWA"). We triangulated results across OWAs based on differing sources of bias. RESULTS: Overall, 23.8% of the analytic sample for the observational OWA reported at least one maltreatment type. Of 298 outcomes examined in both OWAs, 25% were significant in both OWAs and concordant in the direction of association. Most of these were considered robust in the observational OWA according to sensitivity analyses and included outcomes such as marital separation (OR from observational OWA, ORo = 1.25 (95% CI: 1.21, 1.29); OR from genetic OWA, ORg = 1.06 (1.03, 1.08)), major diet changes due to illness (ORo = 1.27 (1.24, 1.29); ORg = 1.01 (1.00, 1.03)), certain intestinal diseases (ORo = 1.14 (1.10, 1.18); ORg = 1.03 (1.01, 1.06)), hearing difficulty with background noise (ORo = 1.11 (1.11, 1.12); ORg = 1.01 (1.00, 1.01)), knee arthrosis (ORo = 1.13 (1.09, 1.18); ORg = 1.03 (1.01, 1.05)), frequent sleeplessness (ORo = 1.21 (1.20, 1.23); ORg = 1.02 (1.01, 1.03)), and low household income (ORo = 1.28 (1.26, 1.31); ORg = 1.02 (1.01, 1.03)). Approximately 62% of results were significant in the observational OWA but not the genetic OWA, including numerous cardiovascular outcomes. Only 6 outcomes were significant in the genetic OWA and null in the observational OWA; these included diastolic blood pressure and glaucoma. No outcomes were statistically significant in opposite directions in the two analyses, and 11% were not significant in either OWA. CONCLUSIONS: Our findings underscore the far-reaching negative effects of childhood maltreatment in later life and the utility of an outcome-wide triangulation design with sensitivity analyses for improving causal inference.

Psychological resilience, resilient coping, and health behaviors among adults in Puerto Rico after multiple adverse events.

Objective: Residents of Puerto Rico have recently experienced multiple adverse events, including hurricanes, earthquakes, and political unrest. Such adversity is associated with worse mental and physical health. Psychological resilience and effective coping may mitigate these relations by fostering positive health behaviors, like consuming a high-quality diet and being physically active. However, empirical evidence for these relationships is limited. Methods: We assessed psychological resilience, resilient coping, and health behaviors among two groups of adults in Puerto Rico, before and during the pandemic, in 2019-2023 (total N = 1,342). Resilience and resilient coping were assessed using the Brief Resilience Scale and Brief Resilient Coping Scale. Diet quality was defined by the Alternate Healthy Eating Index from a food frequency questionnaire. We collected data on sleep, physical activity, alcohol intake, and tobacco use using validated questionnaires. Results: Adjusting for confounders, higher resilience z-scores were associated with being in the highest category of diet quality [OR: 1.25, 95 % CI: 1.04, 1.50]; getting 7-8 h of sleep per night [OR: 1.15, 95 % CI: 1.02,1.30]; and reporting moderate or heavy physical activity (vs. light or sedentary) [OR: 1.17, 95 % CI: 1.02,1.34]. The same patterns were observed for higher resilient coping z-scores, and for categorical measures of resilience and resilient coping. These relationships were stronger among participants interviewed during (vs. before) the COVID-19 pandemic, suggesting that resilience and resilient coping may be particularly relevant during an ongoing stressor. Conclusion: Identifying supportive strategies to cultivate resilience and effective coping mechanisms may contribute to healthier behaviors, particularly in a vulnerable population.