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Background and Objectives The role of social factors in diabetes onset has been obscured by wide variation in their conceptualization and operationalization. We apply 3 theoretical frameworks to categorize social relationship variables along several dimensions and identify which dimension(s) are robustly associated with incident diabetes in the older adult population. Research Design and Methods The National Social Life, Health, and Aging Project (n = 2,365) and the Health and Retirement Study (n =11,824) provided longitudinal data from 57 to 90-year-old respondents over a 4- to 5-year period. Logistic regression models were used to test associations of 15 social variables measured identically in both data sets with diabetes onset measured as respondents' first report of a physician's diagnosis. Results In both studies, not being married, experiencing strain in a spousal relationship, and feeling lonely were associated with increased risk for diabetes onset at follow-up. Inconsistent or null findings were observed for social support, social activity, network size, number of friends and relatives, living alone, and closeness to network members. Discussion and Implications Robust findings in 2 large-scale surveys support the importance of the valence dimension (i.e. positive and negative); specifically, alleviating negative aspects of social life might more effectively reduce risk for diabetes than augmenting positive ones. Findings were not aligned with social variables differing on the subjectivity dimension (i.e. structural, functional, and qualitative aspects of social connections). Future work needs consistent conceptualization and measurement of social factors to correctly identify and categorize risk factors for diabetes onset and other health conditions in older adults. [ABSTRACT FROM AUTHOR]

Background and Objectives Elder mistreatment victims at risk of poor physical and psychological health may benefit from increased social support. This article identifies mistreatment victims among community-dwelling older Americans and maps their social networks to guide the design of social support interventions. Research Design and Methods Using nationally representative survey data from Wave 3 (2015–2016) of the National Social Life, Health, and Aging Project (N = 2,334) and descriptive, latent class, and regression analyses, we estimate the prevalence of mistreatment since age 60, identify the alleged perpetrators' relationships to the victims, and examine victims' social networks. Results Self-reported lifetime prevalence of elder mistreatment is as high as 21%, depending on the mistreatment behavior measured. Latent class analysis reveals two mistreatment classes: 12% of older adults experienced multiple types of mistreatment (polyvictimization), and 6% experienced primarily financial mistreatment. Although alleged perpetrators are unlikely to appear in older adults' core social networks, the most commonly reported perpetrators are children and relatives. Regression analyses show that experiencing mistreatment since age 60 is associated with having less current social support, more social strain, and fewer kin in the core social network. Older adults reporting polyvictimization also have less-dense core networks. Discussion and Implications Increasing family support should be done cautiously because children and relatives are frequently named as mistreatment perpetrators. Increasing communication across polyvictimization victims' network members may support their well-being. Providing outside assistance with financial management could benefit financial mistreatment victims. [ABSTRACT FROM AUTHOR]