scholarly journals EFFECTS OF SOCIAL SUPPORT NETWORK ON AMERICAN OLDER ADULTS’ MEMORY FUNCTIONS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S929-S930
Author(s):  
Ethan Siu Leung Cheung ◽  
Kedong Ding
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Memory Function ◽  
Network Size ◽  
Support Network ◽  
Memory Functions ◽  
Social Network Size ◽  
The Impact

Abstract Background: Previous studies have found older adults’ cognitive functions are strongly associated with their social networks, including memory. Yet, few studies have explored the influences of specific social network members, such as siblings and children. Further, little studies examined the impact of the size of older adults’ social networks. Hence, this study aimed to investigate how older adults’ relationships with their spouses, siblings, and children, as well as the size of their social networks, affect American older adults’ memory functions. Methods: Using the 2018 data from NHATS, 5547 samples were included. We adopted a multiple logistic regression model to test the impact of social support network sizes, and how associations of social support networks varied between spouses, siblings, and children. All models were calibrated for age, gender, education, income, and race/ethnicity. Results: Analysis showed that higher socioeconomic status (more education and without Medicaid), being female, and younger age were associated with increased odds of having good self-rated memory functions. Older adults with larger social support networks (>=3 individuals) were more likely to have better self-rated memory function (adjusted odds ratio, 1.182, p<0.05), while holding other variables. Having a spouse also increased odds of higher self-rating memory function, in contrast to having children. Conclusion: This study highlighted the importance of having a larger social network size for older adult’s memory function and indicated the necessity of developing intervention programs to expand older adults' social network size, especially for those with lower socioeconomic status.

scholarly journals Associations Between Social Support, Social Networks, and Financial Exploitation in Older Adults

2016 ◽  
Vol 37 (8) ◽  
pp. 990-1011 ◽  
Author(s):  
Scott R. Beach ◽  
Richard Schulz ◽  
Rodlescia Sneed
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Perceived Social Support ◽  
Population Based ◽  
Network Size ◽  
Social Network Size ◽  
Financial Exploitation ◽  
The Social

Social support and social networks are important correlates of elder mistreatment. This study tests hypothesized associations between perceived social support, social network size, and financial exploitation (FE). A population-based survey of 903 older adults (60+) in Allegheny County (Pittsburgh, Pennsylvania) found that lower perceived social support and larger social networks were simultaneously associated with higher risk for FE since age 60, controlling for known risk factors. The same associations were found for FE in the last 6 months. Older adults with larger social networks combined with lower perceived social support were most likely to report FE. When it comes to the role of social relationships and risk for FE, “more may not always be better.” Encouragement to widen the social network by “making new friends” should be stressed less than making sure these new network members will truly be supportive of the older adult.

Mental Health among Older Adults with Caregiving Needs: The Role of Social Networks

2019 ◽  
Vol 43 (3) ◽  
pp. 157-167
Author(s):  
Fengyan Tang ◽  
Heejung Jang ◽  
Elizabeth A Mulvaney ◽  
Jane Seoyoon Lee ◽  
Donald Musa ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Older Adults ◽  
Social Network ◽  
Social Relations ◽  
Service Use ◽  
Network Size ◽  
Equation Modeling ◽  
Informal Social Support ◽  
Social Network Size

Abstract A major challenge facing an aging society is the increased caregiving needs among community-dwelling older adults with chronic conditions. Reliance on social relations may help address caregiving needs and maintain older adults’ mental well-being. This study examines the roles of different aspects of social relations—social network size, social support, and service use—in the association between caregiving needs and mental health status (MHS). Using a sample of adults age 55 and over in an urban setting, authors tested the direct, mediation, and moderation effects models of social relations. Structural equation modeling was applied and latent variables of caregiving needs, MHS, and social network size were identified. Results showed that caregiving needs and informal social support (that is, network size, positive support, and negative strain) were directly related to MHS and that informal social support partially mediated the negative effect of caregiving needs on MHS; by contrast, service use moderated the association, indicating that those with caregiving needs who used more services were in better MHS than their counterparts with less service use. Findings point to the importance of social work interventions aimed at improving social relations and enhancing awareness and access to social services.

scholarly journals Social Support, Isolation, Loneliness, and Health Among Older Adults in the PRISM Randomized Controlled Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Sara J. Czaja ◽  
Jerad H. Moxley ◽  
Wendy A. Rogers
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Network ◽  
Social Isolation ◽  
Network Size ◽  
Functional Impairments ◽  
Social Connectivity ◽  
Social Network Size ◽  
Socially Isolated ◽  
Aging Adults

Objectives: Social isolation and loneliness are serious public health issues given the association with negative physical, mental; and cognitive health outcomes and increased risk for mortality. Due to changes in life circumstances many aging adults are socially isolated and experience loneliness. We examined the relationships among four correlated but distinct constructs: social network size, social support, social isolation, and loneliness as they relate to indices of health and wellbeing among diverse subpopulations of older adults. Guided by WHO’s International Classification of Functioning, Disability and Health (ICF) we also examined factors that predict loneliness and social isolation.Methods: Analyses of baseline data from sample of older adults who participated in an intervention trial that examined the beneficial effects of a software system designed to support access to resources and information, and social connectivity. Participants included 300 individuals aged 65–98, who lived alone, were primarily of lower socio-economic status and ethnically diverse. Participants completed a demographics questionnaire, self-report measures of health, depression, social network size, social support, and loneliness.Results: Loneliness was strongly associated with depression and self-ratings of health. In turn, greater social isolation and less social support were associated with greater loneliness. Social isolation was associated with depression and lower self-ratings of health. The association between social isolation and health was mediated by loneliness. Individuals in the older cohorts (80+) reported less social support. With respect to loneliness, having a smaller social network, more functional limitations, and limitations in engaging meaningful activities was associated with higher levels of loneliness and greater social isolation.Conclusion: The findings underscore the importance of social connectively to wellbeing for older adults and suggest that those in the older cohorts, who have a small social network, and with greater physical and functional impairments may be particularly vulnerable to being socially isolated and lonely. The findings provide guidance for future interventions. In this regard, we discuss how Information and Communication Technologies (ICTs) may be used to promote social connectivity and engagement. Strategies to make the usability and availability of these applications for aging adults are highlighted.

scholarly journals A longitudinal study of the impact of social network size and loneliness on cognitive performance in depressed older adults

2019 ◽  
Vol 24 (6) ◽  
pp. 889-897 ◽  
Author(s):  
Jisca S. Kuiper ◽  
Nynke Smidt ◽  
Sytse U. Zuidema ◽  
Hannie C. Comijs ◽  
Richard C. Oude Voshaar ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Longitudinal Study ◽  
Cognitive Performance ◽  
Network Size ◽  
Social Network Size ◽  
The Impact

scholarly journals Social Network Types and Depressive Symptoms among Older Korean Men and Women

2021 ◽  
Vol 18 (21) ◽  
pp. 11175
Author(s):  
Kyung-Won Choi ◽  
Gyeong-Suk Jeon
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Depressive Symptoms ◽  
Living Arrangements ◽  
Network Size ◽  
Multivariable Logistic Regression Analysis ◽  
Men And Women ◽  
The Social ◽  
The Impact

This study explores the social network types of older Korean men and women, and the relationship of those networks to depressive symptoms. A population of 4608 older adults who participated in the Living Profiles of Older People Survey (LPOPS) were included in the study. Seven criterion variables—marital status, living arrangements, frequency of contact with children, close friends, and close relatives, participation in social activities, and total network size—were included in a K-means cluster analysis. Multivariable logistic regression analysis of the impact of social network type on depressive symptoms was conducted. We identified two “diverse type” social networks (diverse-married and diverse-unmarried) in women, and one diverse type and one “social-activity-focused type” network in men. Family focused type and two “restricted type” social networks (restricted-couple-focused, and restricted-unmarried) were identified in both men and women. The restricted-unmarried and restricted-couple-focused networks were associated with more depressive symptoms in both men and women. However, the family focused type was associated with more depressive symptoms only in women. The results indicated that social network types, and their impact on depressive symptoms, differ by gender. There is a need for further research on gender differences in the social network types of older adults across diverse cultures.

scholarly journals Lifesaving in Every Way: The Role of Companion Animals in the Lives of Older Lesbian, Gay, Bisexual, and Transgender Adults Age 50 and Over

2018 ◽  
Vol 40 (9) ◽  
pp. 859-882 ◽  
Author(s):  
Anna Muraco ◽  
Jennifer Putney ◽  
Chengshi Shiu ◽  
Karen I. Fredriksen-Goldsen
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Network ◽  
Perceived Social Support ◽  
Companion Animals ◽  
Network Size ◽  
Life Course Perspective ◽  
Social Network Size ◽  
Bisexual And Transgender

This study uses mixed-methods data and a life-course perspective to explore the role of pets in the lives of lesbian, gay, bisexual, and transgender (LGBT) adults age 50 and over and addresses the following research questions: (1) How does having a pet relate to perceived social support and social network size? and (2) how do LGBT older adults describe the meaning of pets in their lives? The qualitative data ( N = 59) were collected from face-to-face interviews, and the quantitative data ( N = 2,560) were collected via surveys from a sample across the United States. Qualitative findings show that pets are characterized as kin and companions and provide support; we also explore why participants do not have pets. The quantitative findings show that LGBT older adults with a pet had higher perceived social support; those with a disability and limited social network size, who had a pet had significantly higher perceived social support than those without a pet.

The Effect of Social Network Size and Composition on the Link Between Discrimination and Health Among Sexual Minorities

2020 ◽  
Vol 32 (9) ◽  
pp. 1214-1221
Author(s):  
Katelin E. Leahy ◽  
William J. Chopik
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Health Outcomes ◽  
Well Being ◽  
Network Size ◽  
Negative Effects ◽  
Social Network Size ◽  
Stress And Health ◽  
Lgbt Individuals

Objectives: Previous research has examined the link between discrimination and health in lesbian, gay, bisexual, and/or transgender (LGBT) individuals. The purpose of this study was to examine if health-promoting variables, like social networks, might disrupt this association. Method: Participants were 2,560 LGBT older adults who reported on the composition of their social network, level of discrimination, stress, and health/well-being. Results: Moderated mediation results indicated that social network size disrupted the associations between discrimination, stress, and health outcomes when social networks were (a) larger and (b) comprised of LGBT individuals (but not straight individuals), regardless of age. Discussion: Larger social networks that include fellow LGBT individuals helped buffer experiences of stress and discrimination on health outcomes among LGBT older adults. Implications for how protective factors can reduce the negative effects of discrimination and stress are discussed.

Why Do High-Status People Have Larger Social Networks? Belief in Status-Quality Coupling as a Driver of Network-Broadening Behavior and Social Network Size

2020 ◽  
Author(s):  
Jiyin Cao ◽  
Edward Bishop Smith
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Status ◽  
Positive Association ◽  
Network Size ◽  
High Status ◽  
Discussion Section ◽  
Social Network Size ◽  
Tightly Coupled ◽  
The Relationship

Previous research has demonstrated that the size and reach of people’s social networks tend to be positively related to their social status. Although several explanations help to account for this relationship—for example, higher-status people may be part of multiple social circles and therefore have more social contacts with whom to affiliate—we present a novel argument involving people’s beliefs about the relationship between status and quality, what we call status-quality coupling. Across seven separate studies, we demonstrate that the positive association between social status and network-broadening behavior (as well as social network size) is contingent on the extent to which people believe that status is a reliable indicator of quality. Across each of our studies, high- and low-status people who viewed status and quality as tightly coupled differed in their network-broadening behaviors, as well as in the size of their reported social networks. The effect was largely driven by the perceived self-value and perceived receptivity of the networking target. Such differences were significantly weaker or nonexistent among equivalently high- and low-status people who viewed status as an unreliable indicator of quality. Because the majority of participants—both high- and low-status—exhibited beliefs in status-quality coupling, we conclude that such a belief marks an important and previously unaccounted-for driver of the relationship between status, network-broadening behaviors, and social networks. Implications for research on social capital, advice seeking, and inequality are highlighted in the discussion section.

scholarly journals Head-to-Head Comparison of Social Network Assessments in Stroke Survivors

2020 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
Morgan Prust ◽  
Abby Halm ◽  
Simona Nedelcu ◽  
Amber Nieves ◽  
Amar Dhand
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Social Isolation ◽  
Network Structure ◽  
Network Size ◽  
Personal Network ◽  
Mapping Tool ◽  
Social Network Structure ◽  
Network Mapping

Background and Purpose: Social networks influence human health and disease through direct biological and indirect psychosocial mechanisms. They have particular importance in neurologic disease because of support, information, and healthy behavior adoption that circulate in networks. Investigations into social networks as determinants of disease risk and health outcomes have historically relied on summary indices of social support, such as the Lubben Social Network Scale–Revised (LSNS-R) or the Stroke Social Network Scale (SSNS). We compared these 2 survey tools to personal network (PERSNET) mapping tool, a novel social network survey that facilitates detailed mapping of social network structure, extraction of quantitative network structural parameters, and characterization of the demographic and health parameters of each network member. Methods: In a cohort of inpatient and outpatient stroke survivors, we administered LSNS-R, SSNS, and PERSNET in a randomized order to each patient. We used logistic regression to generate correlation matrices between LSNS-R scores, SSNS scores, and PERSNET’s network structure (eg, size and density) and composition metrics (eg, percent kin in network). We also examined the relationship between LSNS-R-derived risk of social isolation with PERSNET-derived network size. Results: We analyzed survey responses for 67 participants and found a significant correlation between LSNS-R, SSNS, and PERSNET-derived indices of network structure. We found no correlation between LSNS-R, SSNS, and PERSNET-derived metrics of network composition. Personal network mapping tool structural and compositional variables were also internally correlated. Social isolation defined by LSNS-R corresponded to a network size of <5. Conclusions: Personal network mapping tool is a valid index of social network structure, with a significant correlation to validated indices of perceived social support. Personal network mapping tool also captures a novel range of health behavioral data that have not been well characterized by previous network surveys. Therefore, PERSNET offers a comprehensive social network assessment with visualization capabilities that quantifies the social environment in a valid and unique manner.

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