scholarly journals Multidimensional Social Network Types and Their Correlates in Older Americans

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Talha Ali ◽  
Michael R Elliott ◽  
Toni C Antonucci ◽  
Belinda L Needham ◽  
Jon Zelner ◽  
...  

Abstract Background and Objectives Social support networks of older adults have been linked to their health and well-being; however, findings regarding the effects of specific network characteristics have been mixed. Additionally, due to demographic shifts increasing numbers of older adults live outside of traditional family structures. Previous studies have not systematically examined the resulting complexity and heterogeneity of older adults’ social networks. Our objectives were to examine this complexity and heterogeneity by developing a multidimensional typology of social networks that simultaneously considers multiple structural and functional network characteristics, and to examine differences in network type membership by sociodemographic characteristics, health characteristics, and birth cohort. Research Design and Methods Participants included 5,192 adults aged 57–85 years in the National Social Life, Health, and Aging Project at rounds 1 (2005–2006) and 3 (2015–2016). Data were collected on social relationships including network size, diversity, frequency of contact, and perceived support and strain in relationships. We used latent class analysis to derive the network typology and multinomial logistic regression to examine differences in network type membership by sociodemographic characteristics, health characteristics, and birth cohort. Results Older adults were classified into 5 distinct social network types: (i) large, with strain; (ii) large, without strain; (iii) small, diverse, low contact; (iv) small, restricted, high contact; and (v) medium size and support. Membership in these network types varied by age, gender, marital status, race/ethnicity, education, mental health, and birth cohort. Discussion and Implications Network typologies can elucidate the varied interpersonal environments of older adults and identify individuals who lack social connectedness on multiple network dimensions and are therefore at a higher risk of social isolation.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S175-S175
Author(s):  
Danielle Oleskiewicz ◽  
Karen Rook

Abstract Older adults often winnow their social ties to focus on emotionally rewarding ties (Charles & Carstensen, 2010). Some older adults, however, have small social networks that preclude much winnowing or aversive social ties from which disengagement is difficult. These individuals might be motivated to expand, rather than contract, their social ties. The current study sought to extend knowledge regarding potential links between social network characteristics and older adults’ interest, effort, and success in creating new social ties. We expected that small social networks and negative social ties might motivate interest and effort directed toward forming new social ties but that positive social ties might foster success in efforts to form new ties. In-person interviews were conducted with participants (N = 351, Mean age = 74.16) in a larger study of older adults’ social networks and well-being. The interviews assessed participants’ social networks, as well as their interest, effort, and success in making new social ties. Participants’ social network composition, rather than size, was associated with greater motivation to establish new social ties. Negative social ties were associated with greater interest and effort directed toward forming new social ties. Positive social ties were related to greater success (due, in part, to their support provision) and, unexpectedly, were also related to greater interest and effort directed toward forming new ties. Older adults sometimes seek to expand, rather than contract, their social ties, and characteristics of their social networks appear to play a role in fueling and influencing the success of such efforts.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S390-S390
Author(s):  
Judith Robertson R Phillips ◽  
Katie E Cherry

Abstract With the increasing occurrences of disasters throughout the world, researchers, communities, and organizations have become interested in how the use of social networks during and after a disaster can ease the psychological recovery of older adults who are affected by traumatic disaster events such as hurricanes and wildfires. This symposium will focus on the power of social networks and highlight the importance of preparedness, informal and formal groups, and interventions to assist recovery of older adults. First, Dr. Judith Phillips will present data on how informal and formal social network groups affected the psychological well-being of older adults who experienced exposure to multiple wildfires. Second, Dr. Denise Eldemire-Shearer will address how both formal and informal social network groups in Jamaica are informed and mobilized to provide support to older adults on the island during hurricanes and other water-related disasters. Third, Dr. Lisa Brown will introduce the Skills for Psychological Recovery intervention and provide an overview and modifications needed when using with older adults; she will also demonstrate an exercise. Fourth, Dr. Debra Dobbs will present themes examining the role of community engagement in hurricane preparedness which were gathered from focus groups and interviews with assisted living administrators in Florida. Lastly, Dr. Mary Helen McSweeney-Feld will address how voluntary organizations active during disasters aid older adults with disaster relief efforts. Together these presenters will provide evidence of the power of various social networks that will lessen the vulnerability of older adults after disasters.


2019 ◽  
Vol 9 (3) ◽  
pp. 330-337
Author(s):  
Jinlei Li ◽  
Zijuan Wang ◽  
Zhiwei Lian ◽  
Zhikai Zhu ◽  
Yuanli Liu

Aims: To examine the association of social networks and community engagement with cognitive impairment among community-dwelling Chinese older adults. Methods: From November 2017 to May 2018, we selected 1,115 elderly individuals from 3 Chinese communities (Beijing, Hefei, and Lanzhou) using a random-cluster sampling method, and recorded data on demographics, social network characteristics, community activities, and cognitive function. The odds ratios (ORs) of these associations were adjusted for potential confounders in logistic regression models. Results: The prevalence of cognitive impairment was 25.7% (n = 287). An adequate social network (OR 0.55; 95% confidence interval [CI] 0.33–0.91) and enough social support from friends (OR 0.43; 95% CI 0.29–0.62) were negatively associated with cognitive impairment. Family support was not significantly associated with cognitive impairment (OR 0.64; 95% CI 0.34–1.21). Taking part in elderly group travel, communication with others using WeChat, and community activities such as Tai Chi and walking together were negatively associated with cognitive impairment. Conclusion: Social network characteristics and community engagement were found to be related to cognitive function among community-dwelling Chinese elderly adults.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S178-S179
Author(s):  
Talha Ali ◽  
Michael Elliott ◽  
Toni C Antonucci ◽  
Belinda Needham ◽  
Jonathan Zelner ◽  
...  

Abstract Social networks are critical in maintaining late-life functional health, but, previous studies have focused on isolated dimensions of social networks. We examined whether network types, representing multiple interrelated network characteristics, are associated with mobility and disability among older adults in America. Data are from the National Social Life, Health, and Aging Project, a nationally representative study of 3,005 adults aged 57-85 years at baseline (2005-2006). In a previous analysis, five social network types were derived at baseline, based on nine observed network characteristics. Functional outcomes were examined during two follow-up waves in 2010-2011 and 2015-2016. Mobility-related function was assessed as the time (in seconds) to complete a 6-meter walk. Disability was defined as experiencing any difficulty in performing one of six activities of daily living (ADLs). We estimated the effect of network types on risk of ADL disability onset using logistic regression, and on mobility using generalized linear mixed models. Social network type was associated with mobility over time, such that older adults in the “restricted” network had significantly slower walking times than those in the “diverse” network. There was no association between network types and risk of disability onset in the primary analysis. However, sensitivity analyses showed a protective effect of the “partner-centered” network on a 5-year, but not a 10-year, risk of disability onset. Network types can elucidate older adults’ varied interpersonal and caregiving networks, and identify adults at risk of being socially isolated. However, the utility of network types in predicting late-life functional health may be limited.


2018 ◽  
Vol 74 (8) ◽  
pp. 1406-1415 ◽  
Author(s):  
Maja Djundeva ◽  
Pearl A Dykstra ◽  
Tineke Fokkema

Abstract Objectives When identifying older adults who may be at risk of being without necessary supports, policy makers and scholars tend to focus on those living alone, neglecting differences within that group. We examine how their social networks contribute to subjective well-being, why some of them fare better and compare their well-being to older adults coresiding with others. Method Data are from the fourth wave of the Survey of Health and Retirement in Europe (N = 53,383). A network typology for older people living alone (N = 10,047) is constructed using a latent class analysis. Using ordinary least squares (OLS) regressions, we examined differences in subjective well-being (life satisfaction, satisfaction with social network, depression) by network type, adding adults coresiding with others (N = 43,336) as comparison group. Results We find four social network types among older adults living alone. The likelihood of having “restricted” and “child-based” networks is greater in Eastern and Southern European countries, whereas the likelihood of having “friend-oriented” networks is greater in Western and Northern European countries. Across countries, only those with “restricted” networks tend to have the poorest well-being. Those with “diverse” networks have even better well-being than coresiding older adults. Discussion Our study shows the importance of drawing distinctions within the group of older adults living alone. Most (two thirds) are not vulnerable and at risk, but fare just as well or even better than peers who coreside with others. Country-level factors shape the opportunities to build satisfactory networks, but subjective well-being depends more strongly on individual resources, including social networks, than country-level factors.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S72-S72
Author(s):  
Sijia Wei ◽  
Eleanor S McConnell ◽  
Kayla Wright-Freeman ◽  
Amanda Woodward ◽  
Bada Kang ◽  
...  

Abstract Social networks impact the health and wellbeing of older adults. The importance of social networks drives the need to reliably measure social networks. Advancements and innovations in the internet, electronic and digital devices, social media and health care technology enriches our ability to collect social network and health data to overcome limitations in social network measurement. This scoping review will review approaches utilizing technology to assist the measurement and analysis of social networks among older adults in the context of health and social care. Joanna Briggs Institute methodology was followed; PubMed (MEDLINE), Sociological Abstracts, SocINDEX, CINAHL, and Web of Science were searched for related articles. Conference abstracts and proceedings were included. We discuss the gaps and advances in measurement of social networks of older adults using technology and implications for future research in social networks of older adults as a lever for improving health and well-being.


2017 ◽  
Vol 40 (8) ◽  
pp. 715-739 ◽  
Author(s):  
Oksana Harasemiw ◽  
Nancy Newall ◽  
Shahin Shooshtari ◽  
Corey Mackenzie ◽  
Verena Menec

It is well-documented that social isolation is detrimental to health and well-being. What is less clear is what types of social networks allow older adults to get the social support they need to promote health and well-being. In this study, we identified social network types in a national sample of older Canadians and explored whether they are associated with perceived availability of different types of social support (affectionate, emotional, or tangible, and positive social interactions). Data were drawn from the baseline questionnaire of the Canadian Longitudinal Study on Aging for participants aged 65–85 (unweighted n = 8,782). Cluster analyses revealed six social network groups. Social support generally declined as social networks became more restricted; however, different patterns of social support availability emerged for different social network groups. These findings suggest that certain types of social networks place older adults at risk of not having met specific social support needs.


Gerontology ◽  
2022 ◽  
pp. 1-12
Author(s):  
Pildoo Sung ◽  
Rahul Malhotra ◽  
Grand H.-L. Cheng ◽  
Angelique Wei-Ming Chan

<b><i>Objective:</i></b> Network typology studies have identified heterogeneous types of older adults’ social networks. However, little is known about stability and change in social network types over time. We investigate transitions in social network types among older adults, aged 60 years and older, and factors associated with such transitions. <b><i>Methods:</i></b> We used data on 1,305 older adults, participating in 2 waves of a national, longitudinal survey, conducted in 2016–2017 and 2019, in Singapore. Latent transition analysis identified the distinct types of social networks and their transition patterns between the waves. Multinomial logistic regression examined the association of baseline and change in physical, functional, and mental health and baseline sociodemographic characteristics with network transitions into more diverse or less diverse types. <b><i>Results:</i></b> We found 5 social network types at both waves, representing the most to the least diverse types – diverse, unmarried and diverse, extended family, immediate family, and restricted. Between waves, about 57% of respondents retained their social network type, whereas 24% transitioned into more diverse types and 19% into less diverse types. Those who were older and less educated and those with worsening functional and mental health were more likely to transition into less diverse types versus remaining in the same type. <b><i>Discussion:</i></b> The findings capture the dynamics in social network composition among older adults in the contemporary aging society. We highlight sociodemographic and health disparities contributing to later life social network diversity.


2020 ◽  
Vol 32 (9) ◽  
pp. 1214-1221
Author(s):  
Katelin E. Leahy ◽  
William J. Chopik

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.


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