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We consider linked lives through the Convoy Model of Social Relations to illustrate their complexity, consequences, and development across contexts. To illustrate how the Convoy Model lens provides a unique opportunity to examine the multidimensional and dynamic character of linked lives across time and space, we analyze twenty-three years of longitudinal data from the Social Relations Study (SRS). The SRS is a regionally representative Detroit-area sample (N=1,498) with three waves (1992; 2005; 2015) of data from community dwelling people age 13 to 93. We present three illustrative examples of linked lives: 1) the influence of earlier life social network characteristics (size and closeness) on later life health outcomes; 2) the influence of social position (race and education) on relationship quality with spouse/partner and child over time; and 3) the influence of transitioning from working to retirement on network structure (size and geographic proximity). Findings illustrate linked lives through multiple instances of social relationships and as influenced by various contexts. Further, the consequences of linked lives for mental health are consistent across the life course while influence on physical health is variable. The Convoy Model presents key concepts to situate the ways in which linked lives form and function at various levels and across multiple contexts to have far reaching effects on life outcomes., Competing Interests: Declaration of interest None., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Longer life expectancies and declining fertility rates suggest changes in connectedness among older adults. This study examines cohort patterns in the links between age and social relations by testing the Convoy Model of Social Relations among 2 adult cohorts in 1980 and 2005. We hypothesize that despite societal changes, connectedness remains fundamental in later life. The data are drawn from a regionally representative sample ( N = 543) aged 50 to 100 collected in 2005 and a nationally representative sample ( N = 718) aged 50 to 95 collected in 1980. We use multilevel-modeling to update the preliminary examination of how network characteristics vary by age and emotional closeness (Antonucci & Akiyama, 1987) with data collected 25 years later. Findings indicate that network size, gender composition, and years known were similar in both cohorts. Changes are also evident. In 2005, network members were older, had more frequent contact, and lived closer to their network members than in 1980. There was 1 cohort difference in network composition, the proportion of other family was smaller in 2005 compared with 1980. Finally, cohorts differed in the effects of age (e.g., on contact frequency), closeness (e.g., on network size), and Age × Closeness interactions (e.g., on sibling composition). In sum, overall patterns of network structure and composition are largely similar in the 2 cohorts. The effects of age and emotional closeness were largely consistent over 25 years. Although caution is warranted, these findings provide continued support for the importance of close relations in later life across historical periods. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Objectives: . We examine how changes in social networks influence volunteerism through bridging (diversity) and bonding (spending time) mechanisms. We further investigate whether social network change substitutes or amplifies the effects of education on volunteerism., Methods: . Data (n = 543) are drawn from a two-wave survey of Social Relations and Health over the Life Course (SRHLC). Zero-inflated negative binomial regressions were conducted to test competing hypotheses about how changes in social network characteristics alone and in conjunction with education level predict likelihood and frequency of volunteering., Results: . Changes in social networks were associated with volunteerism: as the proportion of family members decreased and the average number of network members living within a one-hour drive increased over time, participants reported higher odds of volunteering. The substitution hypothesis was supported: social networks that exhibited more geographic proximity and greater contact frequency over-time compensated for lower levels of education to predict volunteering more hours., Discussion: . The dynamic role of social networks and the ways in which they may work through bridging and bonding to influence both likelihood and frequency of volunteering are discussed. The potential benefits of volunteerism in light of longer life expectancies and smaller families are also considered., (© The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: Despite a growing body of literature documenting the influence of social networks on health, less is known in other parts of the world. The current study investigates this link by clustering characteristics of network members nominated by older adults in Lebanon. We then identify the degree to which various types of people exist within the networks. This study further examines how network composition as measured by the proportion of each type (i.e., type proportions) is related to health; and the mediating role of positive support and trust in this process., Method: Data are from the Family Ties and Aging Study (2009). Respondents aged ≥60 were selected (N = 195) for analysis., Results: Three types of people within the networks were identified: Geographically Distant Male Youth, Geographically Close/Emotionally Distant Family, and Close Family. Having more Geographically Distant Male Youth in one's network was associated with health limitations, whereas more Close Family was associated with no health limitations. Positive support mediated the link between type proportions and health limitations, whereas trust mediated the link between type proportions and depressive symptoms., Discussion: Results document links between the social networks and health of older adults in Lebanon within the context of ongoing demographic transitions., (© The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

COVID-19 has revealed gaps in services and supports for older adults, even as needs for health and social services have dramatically increased and may produce a cascade of disability after the pandemic subsides. In this essay, we discuss the perfect storm of individual and environmental risk factors, including deconditioning, reductions in formal and informal care support, and social isolation. We then evaluate opportunities that have arisen for strengthening person-centered services and supports for older adults, through in-home acute and primary medical care, aggressive use of video telehealth and social interaction, and implementation of volunteer or paid intergenerational service. [ABSTRACT FROM AUTHOR]

This study examines the complex role of family networks in shaping adult psychological well-being over time. We examine the unique and interactive longitudinal influences of family structure (i.e., composition and size) and negative family relationship quality on psychological well-being among young (ages 18-34), middle-aged (ages 35-49), and older adults (ages 50+). A sample of 881 adults (72% White; 26% Black) was drawn from the longitudinal Social Relations, Age, and Health Study. Structural equation modeling indicated that among young and middle-aged adults, increasing family negativity was associated with increases in depressive symptoms over time. In contrast, among older adults, lowered proportion of family in network and an increasing number of family members in the network (i.e., family size) were associated with decreases in depressive symptoms. These findings were moderated by family negativity. Among older adults with low family negativity, having a lower proportion of family and larger family size were associated with decreasing depressive symptoms, but there was no effect among those reporting high family negativity. Overall, these results contribute to an increased understanding of the complex, developmental nature of how family support influences well-being across the life span and highlights unique age differences. [ABSTRACT FROM AUTHOR]

This article considers the health and longevity benefits of community. The authors define social isolation, review mechanisms explaining the links between social isolation and health, consider how interventions may play a role in building community, and identify potential challenges to the ideal of community. The article also details characteristics of living in community that may promote health, such as remaining engaged, socially connected, having a place, and the availability of outdoor spaces and healthy food options. [ABSTRACT FROM AUTHOR]

Caregiving research has not accounted for increasingly diverse and complex marital and family histories of older Americans. The authors examined social relations and care-specific positive and negative support networks among late-life remarried wife dementia caregivers (N = 61) to determine associations among network structure, relationship quality with and support received from network members, and global assessments of family and stepfamily disagreement on caregiver well-being. Own family and friends predominated in the social relations and positive networks. Although over half (54%) of respondents included a stepfamily member in their positive networks, stepchildren comprised the largest group (35%) in the negative networks. Larger negative networks and actively negative interactions were related to greater caregiver burden, and more global disagreement with stepfamily was associated with greater depression and burden. The findings illustrate the complex nature of support and the value of targeted examinations of caregiving support dynamics among late-life remarried older adults and stepfamilies facing health demands. [ABSTRACT FROM AUTHOR]