Longitudinal changes in social networks, health and wellbeing among older Koreans

2015 ◽  
Vol 36 (9) ◽  
pp. 1915-1936 ◽  
Author(s):  
BORIN KIM ◽  
SOJUNG PARK ◽  
TONI C. ANTONUCCI

ABSTRACTThis study investigates the changes in social network types among older adults in South Korea, and it examines whether, and to what extent, these changes influence their health and psychological wellbeing. Data were obtained from the Korean Longitudinal Study of Ageing. The sample was restricted to respondents over 65 years of age who participated in both the 2006 and 2008 surveys (N = 3,501). The social network types for both years were derived by Latent Class Analysis. Changes in network types over time were then identified. A series of multivariate regression analyses were conducted to examine the effects of social network changes on self-rated health, depressive symptoms and life satisfaction. Restricted, Family, Friend and Diverse network types were derived in each wave of the study. Although the direction of social network changes was not always towards the Restricted type, the Restricted network was the most prevalent and stable type among older Koreans. Older adults who remained in or transitioned to restricted types of social networks were more likely to have poor self-rated health, higher levels of depressive symptoms and lower levels of life satisfaction. This study adds to the limited body of literature on longitudinal network typology, and it expands the knowledge of social network types among older adults in diverse social and cultural contexts.

Author(s):  
Kyung-Won Choi ◽  
Gyeong-Suk Jeon

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.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.


2021 ◽  
pp. 1-20
Author(s):  
Alfred H. K. Lam ◽  
Dannii Y. Yeung ◽  
Edwin K. H. Chung

Abstract Volunteering is a popular activity among middle-aged and older adults as means to contribute to the society and to maintain personal health and wellbeing. While the benefits of volunteering have been well-documented in the current literature, it does not tend to distinguish between various types of volunteering activities. This cross-sectional study aims to compare the effects of instrumental (e.g. food preparation, fundraising) and cognitively demanding volunteering activities (e.g. befriending, mentoring) in a sample of 487 middle-aged and older Hong Kong Chinese adults. Participation in instrumental and cognitively demanding volunteering, life satisfaction, depressive symptoms, cognitive functioning and hand-grip strength were measured. The results of two-way between-subject robust analyses of variance demonstrated significant main effects of volunteering type and their interaction effect with age on life satisfaction and depressive symptoms. Comparisons among four volunteering groups (no volunteering, instrumental volunteering, cognitively demanding volunteering and both types) revealed that individuals engaging in instrumental volunteering exhibited lower life satisfaction and more depressive symptoms compared to those who engaged in cognitively demanding volunteering and those who did not volunteer at all. This detrimental pattern of instrumental volunteering was only seen in middle-aged adults, but not in older adults. Findings of this study revealed distinctive effects of two volunteering types, and provide valuable directions for designing future volunteering programmes.


2016 ◽  
Vol 37 (8) ◽  
pp. 990-1011 ◽  
Author(s):  
Scott R. Beach ◽  
Richard Schulz ◽  
Rodlescia Sneed

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.


2017 ◽  
Vol 38 (12) ◽  
pp. 1661-1686 ◽  
Author(s):  
Emily Schryer ◽  
Kathrin Boerner ◽  
Amy Horowitz ◽  
Joann P. Reinhardt ◽  
Steven E. Mock

Older adults with vision loss and a friend or family member were interviewed over a 2-year period. We examined the effects of driving cessation on life satisfaction among older adults and a social contact. Drivers’ use of public transportation was examined as a moderator. Driving cessation was associated with a decline in life satisfaction among social partners but not for the drivers. Drivers’ use of public transportation at baseline moderated the effects of cessation on changes in well-being among social partners, but had little effect on the life satisfaction of the drivers. Life satisfaction was greater among the social partners of ex-drivers who used public transportation more frequently. The association between driving cessation and well-being should be studied in the context of older drivers’ social networks. Infrastructure (e.g., subways and buses) that supports transportation needs plays an important role in mitigating the effects of cessation on older adults’ social networks.


Gerontology ◽  
2017 ◽  
Vol 63 (3) ◽  
pp. 238-252 ◽  
Author(s):  
XinQi Dong ◽  
E-Shien Chang

Background: Social network research has become central to studies of health and aging. Its results may yield public health insights that are actionable and improve the quality of life of older adults. However, little is known about the social networks of older immigrant adults, whose social relationships often develop in the context of migration, compounded by cultural and linguistic barriers. Objectives: This report aims to describe the structure, composition, and emotional components of social networks in the Chinese aging population of the USA, and to explore ways in which their social networks may be critical to their health decision-making. Methods: Our data come from the PINE study, a population-based epidemiological study of community-dwelling older Chinese American adults, aged 60 years and above, in the greater Chicago area. We conducted individual interviews in participants' homes from 2011 until 2013. Based on sociodemographic and socioeconomic characteristics, this study computed descriptive statistics and trend tests for the social network measures adapted from the National Social Life, Health, and Aging Project study. Results: The findings show that older Chinese adults have a relatively small social network in comparison with their counterparts from other ethnic and racial backgrounds. Only 29.6% of the participants could name 5 close network members, and 2.2% could name 0 members. Their network composition was more heavily kin oriented (95.0%). Relationships with network members differed according to the older adults' sociodemographic and socioeconomic characteristics. Subgroup variations included the likelihood of discussing health-related issues with network members. Conclusion: This study highlights the dynamic nature of social networks in later-life Chinese immigrants. For healthcare practitioners, developing cost-effective strategies that can mobilize social network support remains a critical undertaking in health intervention. Longitudinal studies are needed to examine the causal impact of social networks on various domains of health.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 349-349
Author(s):  
Dan Tang ◽  
Jie Qiu ◽  
Kun Zhang

Abstract Using the data of 2014 baseline survey of the China Longitudinal Aging Social Survey (CLASS), which provides a sample of older Chinese who had grandchild younger than 18 years old, this study examines the associations among grandchild care, social networks, and depressive symptoms among Chinese older adults. The older adults are divided into three groups basing on the frequency of their behaviors of taking care of grandchildren. The three groups are ‘no care, providing care occasionally, providing care frequently’. The mediating and moderating effects of social networks between grandchild care and depressive symptoms are tested. Results show that older adults who provide grandchild care report superior social networks and better mental health than those who don’t provide grandchild (reference group). After controlling the related variables, the older adults who provide grandchild occasionally benefit more than those who take care of grandchild frequently. Grandchild care is related to larger social networks, and the social networks are fully mediating the association between grandchild care and depressive symptoms.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 623-624
Author(s):  
Sato Ashida ◽  
Ellen Schafer ◽  
Lena Thompson

Abstract Social networks consisting of family and friends tend to better facilitate older adults’ emotional well-being than networks consisting of only family or only friends. This study assessed the heterogeneity of older adults’ network compositions based on the network members’ relationship (family vs. friends) and proximity (local vs. non-local) and evaluated the types of interactions between older adults and types of members. Adults 60 years and older living in a U.S. Midwestern city participated in a one-time structured survey (n=133), and reported about 1,730 social network members. Compared to participants who lived with others, those who lived alone reported more depressive symptoms and higher frequency of feeling lonely (p=0.002). Those who lived alone also had higher proportions of local friends in their networks than those who lived with others (p=0.02). Whereas the social roles of family and friends were similar in networks of older adults who lived with others, those who lived alone were less likely to identify family as who they co-engaged in social activities with (local family OR=0.55, non-local family OR=0.27) and who provided companionship (local family OR=0.33, non-local family OR=0.11) compared to their local friends. Having more members who co-engaged in activities was associated with lower depressive symptoms (p=0.05) and less frequency of feeling lonely (p<0.01). Providing supportive infrastructure for community-based older adults to develop and maintain co-engaging relationships with local friends may be beneficial. Network approaches can be used to identify existing network members who may be inspired to play this role.


Author(s):  
Liping Ye ◽  
Xinping Zhang

This study aimed to identify social network types among older adults in rural China, to explore the relationship between social network types and the health of the older adults, and further, to examine the mediating role of social support in this relationship. A cross-sectional survey method was employed to investigate the health of adults aged 60 or older in rural areas of Hubei Province from 5 September 2018 to 15 October 2018; 405 samples were obtained. First, using k-means clustering analysis, we found five robust network types: diverse, restricted, family, friends and a specific type—family-restricted. Second, the results of multiple linear regression analysis showed that social network types were significantly associated with depressive symptoms and self-rated health in older adults. Older people with diverse friend networks were significantly associated with lower levels of depressive symptoms, whereas those with restricted and family-restricted networks were significantly associated with higher levels of depressive symptoms and lower levels of self-rated health. Finally, the results of multiple linear regression analysis confirmed that social support partially mediated the association of the identified social network types with depressive symptoms and self-rated health. Enriching the social network relationships of older adults and providing them with more social support should be conducive to promoting their mental and physical health.


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.


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