Close relationships play a vital role in human health, but much remains to be learned about specific mechanisms of action and potential avenues for intervention. This article provides an evaluation of research on close relationships processes relevant to health, drawing on themes from major relationship science theories to present a broad conceptual framework for understanding the interpersonal processes and intrapersonal pathways linking relationships to health and disease outcomes. The analysis reveals that both social connection and social disconnection broadly shape biological responses and behaviors that are consequential for health. Furthermore, emerging work offers insights into the types of social dynamics that are most consequential for health, and the potential pathways through which they operate. Following from this analysis, the authors suggest several research priorities to facilitate the translation of discoveries from relationship science into relationship-based interventions and public health initiatives. These priorities include developing finer grained theoretical models to guide research, the systematic investigation of potential mediating pathways such as dyadic influences on health behavior and physiological coregulation, and taking into account individual differences and contextual factors such as attachment style, gender, socioeconomic status, and culture. In addition, a pressing need exists for laboratory and field research to determine which types of interventions are both practical and effective. (PsycINFO Database Record

We investigated the extent to which individual differences in activity of the hypothalamic pituitary adrenal axis (HPA) are associated with depressive symptoms among newlywed couples. Participants were 218 couples (M age 28.4 years; 94% White) who provided 5 saliva samples (later assayed for cortisol and DHEA-S) before and after participation in a discussion of a major area of disagreement in their relationship. Depressive symptoms were assessed initially, and approximately 19- and 37-months later. Results revealed an interactive effect suggesting that concordant levels of cortisol and DHEA-S (either both high or both low) were concurrently and prospectively associated with higher depression scores. Interestingly, this interactive effect was observed for wives only - not for husbands. These observations underscore contemporary theoretical assumptions that the expression of the association between HPA activity and depression is dependent on factors related to the interaction between characteristics of the person and features of the social environment, and moderated by co-occurring variation in endocrine milieu.

We investigated the extent to which individual differences in activity of the hypothalamic pituitary adrenal axis (HPA) are associated with depressive symptoms among newlywed couples. Participants were 218 couples (M age 28.4 years; 94% White) who provided 5 saliva samples (later assayed for cortisol and DHEA-S) before and after participation in a discussion of a major area of disagreement in their relationship. Depressive symptoms were assessed initially, and approximately 19- and 37-months later. Results revealed an interactive effect suggesting that concordant levels of cortisol and DHEA-S (either both high or both low) were concurrently and prospectively associated with higher depression scores. Interestingly, this interactive effect was observed for wives only - not for husbands. These observations underscore contemporary theoretical assumptions that the expression of the association between HPA activity and depression is dependent on factors related to the interaction between characteristics of the person and features of the social environment, and moderated by co-occurring variation in endocrine milieu.

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner's ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person's own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.