Gender Differences in Social Network Size and Satisfaction in Adults in Their 70s

2010 ◽  
Vol 15 (5) ◽  
pp. 671-679 ◽  
Author(s):  
Deirdre McLaughlin ◽  
Dimitrios Vagenas ◽  
Nancy A. Pachana ◽  
Nelufa Begum ◽  
Annette Dobson

Strong social support is associated with lower mortality and morbidity and better self-rated health in later life. The aim of this study was to compare social network size and satisfaction in men ( N = 2589) and women ( n = 3152), aged 72—78 years. Women reported significantly larger networks (Difference 1.36, 95% CI 0.89, 1.83) than men. However, being separated, divorced or single had a significantly greater impact on men’s social networks (Difference 0.92, 95% CI 0.17, 1.68). Poor mental health and sensory impairments were associated with smaller networks and lower satisfaction with support for both men and women.

Author(s):  
Wesley Monroe Shrum ◽  
Jonathan Teye Yevuyibor ◽  
Shriya Thakkar

Prior research has shown that mental health in urban slums is associated with the a share number of older individuals in personal networks. This presentation will examine the extent to which that association is mediated through Internet and social media use. We conducted face to face interviews with residents (minimum 18 years) in two high density, low income areas of Accra (West Africa) and Trivandrum (Kerala, India), where local teams have conducted repeated studies of personal networks since 1994. Our preliminary results show that mobile phones are primary way in which respondents communicate with members of their core networks. Further preliminary results show that while research in high income areas has generally shown the importance of larger networks for positive mental health, our analysis of urban slums reveals a different pattern. First, there is no general association of larger networks with reduced symptoms of anxiety and depression. Second, one particular group of relationships is strongly associated with depression and anxiety: ties with older individuals. The questions we explore are: (1) To what extent are indicators of mental health related to indicators of Internet and social media usage? (2) To what extent are indicators of mental health related to indicators of social network size and composition? (3) To what extent are indicators of Internet and social media usage related to indicators of indicators of social network size and composition?


2019 ◽  
Vol 43 (3) ◽  
pp. 157-167
Author(s):  
Fengyan Tang ◽  
Heejung Jang ◽  
Elizabeth A Mulvaney ◽  
Jane Seoyoon Lee ◽  
Donald Musa ◽  
...  

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.


2019 ◽  
Vol 32 (1) ◽  
pp. 53-63
Author(s):  
N. Schutter ◽  
L. Koorevaar ◽  
T. J. Holwerda ◽  
M. L. Stek ◽  
J. Dekker ◽  
...  

ABSTRACTObjective:Loneliness and social isolation have negative health consequences and are associated with depression. Personality characteristics are important when studying persons at risk for loneliness and social isolation. The objective of this study was to clarify the association between personality factors, loneliness and social network, taking into account diagnosis of depression, partner status and gender.Design:Cross-sectional data of an ongoing prospective cohort study, the Netherlands Study of Depression in Older Persons (NESDO), were used.Setting and participants:474 participants were recruited from mental health care institutions and general practitioners in five different regions in the Netherlands.Measurements:NEO-Five Factor Inventory (NEO-FFI) personality factors and loneliness and social network were measured as well as possible confounders. Multinominal logistic regression analyses were performed to analyse the associations between NEO-FFI factors and loneliness and social network. Interaction terms were investigated for depression, partner status and gender.Results:Higher neuroticism and lower extraversion in women and lower agreeableness in both men and women were associated with loneliness but not with social network size irrespective of the presence of depression. In the non-depressed group only, lower openness was associated with loneliness. Interaction terms with partner status were not significant.Conclusions:Personality factors are associated with loneliness especially in women. In men lower agreeableness contributes to higher loneliness. In non-depressed men and women, lower openness is associated with loneliness. Personality factors are not associated with social network size.


2021 ◽  
pp. 1-19
Author(s):  
Pryanka Boerio ◽  
Emma Garavaglia ◽  
Alessandra Gaia

Abstract The demographic landscape of European countries is rapidly changing because of population ageing; in this context, societies are called to offer older people opportunities to age actively. Although ‘active ageing’ has been broadly explored, there is still room to further our knowledge on the individual conditions that may favour or hinder activity in later life. This study aims to contribute to the literature in this field by focusing on the role of social capital. Specifically, it explores, through logistic regression models, how social capital and changes in social capital are associated with engagement in, the initiation of and continued participation in various domains of activity: volunteering and charity work, active participation in political or community-related organisations, informal care-giving and paid work. The data analysed stem from the Survey of Health, Ageing and Retirement in Europe (SHARE). We focused on people aged 55+ participating in Waves 4–6. The key findings are: (a) having a larger social network is positively associated with participation in and the initiation of activities; (b) receiving social support (rarely) may stimulate reciprocity and thus care-giving; and (c) an increase in social network size is positively associated with initiation and maintenance of activities during later life.


Author(s):  
Ziggi Ivan Santini ◽  
Paul E. Jose ◽  
Ai Koyanagi ◽  
Charlotte Meilstrup ◽  
Line Nielsen ◽  
...  

Abstract Introduction Previous studies have shown that engaging in formal social participation may protect against declining mental health, but social network size (the number of close social ties a person has) may moderate the relationship. We assessed the potential moderating role of social network size using longitudinal data. Methods Nationally representative data from two consecutive waves (2011, 2013) of the SHARE survey were analyzed. The data consisted of 38,300 adults from 13 European countries aged 50 years and older in 2011. Measures pertaining to formal social participation, social network size, quality of life, and depression symptoms were used. Multivariable linear regression models were conducted. Results The majority of participants (over 70% of the sample) had a social network size of four or less close social ties. We identified significant moderations in both models. Individuals with relatively few close social ties may have benefitted from formal social participation both in terms of reductions in depression symptoms and increases in quality of life, while formal social participation among those with many social ties did not appear to be beneficial, and may even to some extent have been detrimental. Conclusions Declines in mental health specifically among those with relatively few close social ties could potentially be prevented through the promotion of formal social participation. It is possible that such strategies could have a greater impact by specifically targeting individuals that are otherwise socially isolated. High levels of formal participation among those with relatively many close social ties may not be pragmatically beneficial.


2011 ◽  
Vol 33 (4) ◽  
pp. 465-493 ◽  
Author(s):  
Katherine L. Fiori ◽  
Nathan S. Consedine ◽  
Eva-Maria Merz

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.


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.


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