scholarly journals Worry about debt is related to social loneliness in older adults in the Netherlands

2021 ◽  
pp. 1-23
Author(s):  
Cäzilia Loibl ◽  
Madeleine A. Drost ◽  
Martijn Huisman ◽  
Bianca Suanet ◽  
Wändi Bruine de Bruin ◽  
...  

Abstract The amount of financial debt held by older adults has grown substantially over the past two decades in Europe. This study examines the association of objective and subjective debt burden with social and emotional loneliness among 1,606 older adults in the Netherlands. Objective debt burden is based on financial terms, such as debt-to-income ratio; whereas subjective debt burden measures the psychological distress caused by financial debt. Data are from the 2015/2016 wave of the Longitudinal Aging Study Amsterdam. First, we use means-comparison tests to examine whether older adults who experience social and emotional loneliness differ from older adults who do not experience loneliness regarding their subjective and objective debt burdens. Subsequently, using linear regression models we address two questions: whether social loneliness and emotional loneliness are associated with objective and subjective debt burden; and whether social participation, social network size, anxiety and depression mediate these relationships. We find that subjective debt burden (i.e. the worry related to debt) is a significant predictor of social loneliness, above and beyond the role of social and psychological measures. Objective debt burden, in contrast, is unrelated to social and emotional loneliness. Social participation, social network size, anxiety and depression do not mediate the debt-burden-to-loneliness relationships. The results point to the importance of subjective debt burden in understanding social loneliness and designing interventions.

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.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S827-S827 ◽  
Author(s):  
Yang Wang ◽  
Yihan Wang ◽  
Florian Kohlbacher ◽  
Ernest Gonzales

Abstract Background: Loneliness among older population is a public health concern shared worldwide. Using the motivational theory for life-span development, this study examined the associations between loneliness (social and emotional) and productive activities among midlife and older adults in Japan. Methods: The Japanese National Data on Lifestyle and Mental Health, a nationally representative sample of midlife and older adults (2011, N=1,575), were used to examine how employment, volunteering, helping family and friends, and informal caregiving was associated with social and emotional loneliness, controlling for multiple risk and protective factors. Results: Family caregiving was related to more social loneliness. Working, helping family, and volunteering were related to less emotional loneliness, while family caregiving was related to more emotional loneliness. Japanese male caregivers reported more social isolation compared to female caregivers. Face-to-face interactions reduced emotional loneliness among caregivers. Discussion: Findings underscored the nuanced difference of social loneliness and emotional loneliness. Social policies that advance productive aging should recognize “unintended consequences” and aim to protect older adults from social and emotional loneliness. Counselling services and social support programs specifically for Japanese male caregivers are warranted.


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 3 (Supplement_1) ◽  
pp. S929-S930
Author(s):  
Ethan Siu Leung Cheung ◽  
Kedong Ding

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.


Author(s):  
Chiungjung Huang

This meta-analysis examines the correlations of the number of social network site (SNS) friends with well-being and distress, based on 90 articles consisting of 98 independent samples on correlations of online social network size (OSNS) with happiness, life satisfaction, self-esteem, anxiety, depression, combined anxiety and depression, loneliness, social anxiety, social loneliness, well-being and distress. The correlations between OSNS and well-being indicators are positively weak (from .06 to .15), whereas those for distress indicators are inconclusive (from -.19 to .08). Studies recording the OSNS based on the participant profile have larger mean effect sizes for well-being (.21) and self-esteem (.31) than those based on self-reporting (.06 and .05, respectively). The correlation between OSNS and self-esteem is stronger in samples with a smaller mean network size.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sara J. Czaja ◽  
Jerad H. Moxley ◽  
Wendy A. Rogers

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.


2022 ◽  
Vol 12 ◽  
Author(s):  
Manuel D. S. Hopp ◽  
Marion Händel ◽  
Svenja Bedenlier ◽  
Michaela Glaeser-Zikuda ◽  
Rudolf Kammerl ◽  
...  

Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students’ contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students’ close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.


2020 ◽  
pp. 1-9
Author(s):  
Natasja Schutter ◽  
Tjalling J. Holwerda ◽  
Hannie C. Comijs ◽  
Paul Naarding ◽  
Rien H.L. Van ◽  
...  

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