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Martial dissolution is associated with risk for poor mental health outcomes, but less is known about the variables and processes that may explain this risk. In a sample of recently-separated adults ('N' = 138), this study examined the association of psychological overinvolvement—assessed using a composite of self-reported rumination, language use, and judge-rated recounting and reconstruing—with daily affect and psychological distress. We included objective measures of sleep, behavioral displays of distress, and social engagement as potential mediators of these associations. Consistent with the preregistered hypotheses, greater psychological overinvolvement predicted higher levels of psychological distress, lower happiness, and greater sadness five months later. Psychological overinvolvement also predicted change in sadness, but not happiness or psychological distress, over five months. Contrary to our predictions, none of the candidate mediators explained these associations. Exploratory analyses suggested that the self-reported rumination component of the psychological overinvolvement composite largely accounted for the association between psychological overinvolvement and the three outcomes. People’s tendency to become overinvolved in their psychological experience after divorce predicts increased risk for distress in the months following marital separation.

Objective: Low levels of perceived social integration, or loneliness, are associated with increased risk for a range of poor health outcomes. Sleep disturbance plays a central role in the evolutionary theory of loneliness, which provides a mechanistic account of how low levels of social integration may negatively impact health. No studies, however, have examined whether the association between social integration and sleep disturbance is consistent with a causal effect after accounting for genes that are common to both variables. Method: Using twin data ('N' = 905 twin pairs) from the nationally-representative Midlife in the United States (MIDUS) survey, I evaluated a series of bivariate twin models exploring whether the phenotypic association between low social integration and sleep disturbance can be explained by shared genetics. In addition, the current study specified a series of quantitative models for studying gene x environment (G X E) interactions to determine whether the genetic and environmental influences on sleep disturbance differ as a function of social integration. Results: The phenotypic association between social integration and sleep disturbance was fully accounted for by genes that are common between the two variables, suggesting that within-twin pair differences in social integration do not exert a causal influence on sleep disturbance. Social integration, however, moderated the non-shared environmental influence on sleep disturbances, with the greatest environmental influences observed at the lowest levels of social integration. Conclusions: The results of this study suggest that an essential feature of the evolutionary model of loneliness may need refinement or elaboration. The moderation findings are discussed in terms of the fit with a stress-buffering model of social support in which environmental influences on sleep disturbance are strongest when social resources are low.