Individuals who perceive greater support or approval for their relationships from friends and family also report greater relationship stability and commitment and better mental and physical health (known as the "social network effect"). These associations have been explained, in part, through three cognitive-affective processes: uncertainty reduction, cognitive balance, and dyadic identity formation. However, we know less about cognitive-behavioral mechanisms that might help explain the social network effect. In this study, we propose and test a model in which physical affection-sharing acts as one such behavioral mechanism. In a sample of 1848 individuals in same-sex (n = 696), mixed-sex (n = 1045), and gender-diverse (n = 107) relationships, we found support for our overall model. Our findings suggest that perceived support for one's relationships is a significant predictor of perceived support for physical affection-sharing, which in turn predicts the frequency of affection-sharing in private and public contexts and, ultimately, relationship well-being. However, we also found that relationship type moderates these associations, highlighting how the experience of sharing affection with one's partner changes for many in marginalized relationships, especially in public. We conclude by discussing how our findings contribute to theories of social support for relationships, underscoring the importance of considering affective, cognitive, and behavioral factors relevant to the process. We also emphasize the understudied role of context in shaping affection-sharing experiences across all relationship types.
Relational boredom is an important cognitive-emotional experience that is understudied in the relationship maintenance literature. In three dyadic studies, we investigated accuracy and bias in partners' perceptions of each other's relational boredom, and how accurate and biased boredom perceptions were associated with relationship quality. Results revealed that, overall, partners tended to overestimate-but accurately track-each other's relational boredom across the features that comprise relational boredom and across time. Additionally, when people accurately perceived their partner experiencing high levels of boredom, they reported lower relationship quality; in all other cases, one's own relationship quality was preserved. Furthermore, when people accurately perceived their partner experiencing high levels of boredom, their partner also reported lower relationship quality, while the partner's relationship quality was consistently preserved when the perceiver was accurate at low levels of boredom or overestimated. These findings have important implications for how couples navigate boredom and maintain long-term relationships.
Social interactions today expand beyond in-person interactions. Therefore, it is important to recognize that social interactions can occur with social network members across multiple communication modes (in-person, phone, and online). The current study explored the role that social support plays in the relationship between mode frequency (in-person, phone, and online), network communication mode diversity (breadth and evenness of communicating with network members via different communication modes), and well-being (positive affect, stress, and loneliness) from the 3-year UCNET (UC Berkley Social Networks Study, N = 1159) dataset. The study contained samples for two age groups (cohorts) - 21-31 year-olds and 50-70 year-olds, which also allowed for an exploration of age differences in these relationships. Longitudinal random-intercept cross-lagged panel models (RI-CLPM) showed a high degree of stability over the 3 years for all variables. Cross-sectional structural equation mediation models showed that social support mediated the relationships of mode frequency (in-person, phone, and online) and network communication mode diversity with well-being (more positive affect and less loneliness and stress). Age differences were found in the relationship between frequency of communication modes and social support, in that the frequency of communication mode was positively related to social support for younger adults, but not for middle-aged/older adults. Current findings provided future research directions geared toward further understanding of the mode frequency and network communication mode diversity constructs and how they relate to various psychosocial outcomes.