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      Associations of objective versus subjective social isolation with sleep disturbance, depression, and fatigue in community-dwelling older adults

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          Abstract

          Older adults are at higher risk of experiencing social isolation, which has been linked to impaired physical and mental health. The link between social isolation and health might be due to objective deprivation of social network and/or subjective experience of loneliness. This community-based cross-sectional study examined whether the associations between social isolation and behavioral symptoms including sleep disturbance, depression, and fatigue are mostly explained by its subjective component. Randomly selected 2541 community-dwelling individuals in Los Angeles aged ≥60 years were telephone-interviewed regarding their objective and subjective social isolation (respectively social network size and loneliness), sleep disturbance, depression, and fatigue. When objective and subjective social isolation were separately included in multivariate regression models, both were significantly associated with behavioral symptoms. However, once they were simultaneously included in the same multivariate models, while subjective social isolation remained strongly associated (adjusted beta 0.24 for sleep disturbance [P<0.001], 0.44 for depression [P<0.001], 0.17 for fatigue [P<0.001]), objective social isolation was weakly or non-significantly associated (−0.04 for sleep disturbance [P=0.03], −0.01 for depression [P=0.48], −0.003 for fatigue [P=0.89]). Additionally, those with objective social isolation were found to have worse symptoms mostly when they also experienced subjective social isolation. Older adults with objective social isolation may experience sleep disturbance, depression, and fatigue because they feel socially isolated, not just because they are deprived of social networks. Interventions that target social isolation might serve as potential treatments for improving behavioral health of older adults, especially by targeting its subjective component.

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          Most cited references33

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          A brief social-belonging intervention improves academic and health outcomes of minority students.

          A brief intervention aimed at buttressing college freshmen's sense of social belonging in school was tested in a randomized controlled trial (N = 92), and its academic and health-related consequences over 3 years are reported. The intervention aimed to lessen psychological perceptions of threat on campus by framing social adversity as common and transient. It used subtle attitude-change strategies to lead participants to self-generate the intervention message. The intervention was expected to be particularly beneficial to African-American students (N = 49), a stereotyped and socially marginalized group in academics, and less so to European-American students (N = 43). Consistent with these expectations, over the 3-year observation period the intervention raised African Americans' grade-point average (GPA) relative to multiple control groups and halved the minority achievement gap. This performance boost was mediated by the effect of the intervention on subjective construal: It prevented students from seeing adversity on campus as an indictment of their belonging. Additionally, the intervention improved African Americans' self-reported health and well-being and reduced their reported number of doctor visits 3 years postintervention. Senior-year surveys indicated no awareness among participants of the intervention's impact. The results suggest that social belonging is a psychological lever where targeted intervention can have broad consequences that lessen inequalities in achievement and health.
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            Loneliness and Health: Potential Mechanisms

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              Social networks in adult life and a preliminary examination of the convoy model.

              This paper examines the social support networks of older adults. Based upon the Kahn and Antonucci (1980) life course social support model, a national sample of adults aged 50 and older (N = 718) was interviewed, generating support networks consisting of an average of 8.9 members. The respondents were asked questions of the structural (e.g., age, sex, closeness, years known, proximity, and frequency of contact) and functional (number and type of supports provided and received) characteristics of their social networks. These characteristics and relationships are described in detail.
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                Author and article information

                Journal
                Aging & Mental Health
                Aging & Mental Health
                Informa UK Limited
                1360-7863
                1364-6915
                May 13 2019
                September 02 2019
                October 04 2018
                September 02 2019
                : 23
                : 9
                : 1130-1138
                Affiliations
                [1 ] Cousins Center for Psychoneuroimmunology, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA;
                [2 ] Department of Surgery, Stony Brook University School of Medicine, Stony Brook, NY, USA;
                [3 ] Division of Geriatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
                Article
                10.1080/13607863.2018.1481928
                6447478
                30284454
                0662ada8-ce5b-4863-af2b-9f8c3d8a656e
                © 2019
                History

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