scholarly journals Loneliness, Social Support, and Psychological Wellbeing Among Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1046-1046
Author(s):  
Poshan Dahal ◽  
Eva Kahana ◽  
Tirth Bhatta ◽  
Polina Ermoshkina
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Later Life ◽  
Retirement Community ◽  
Living Alone ◽  
Psychological Wellbeing ◽  
Negative Affects ◽  
Lower Life Satisfaction

Abstract Social support in old age has been linked to psychological wellbeing outcomes, such as depressive symptoms. However, insufficient attention has been paid to implications of social support for different domains of psychological wellbeing. In this study, we explored these associations among 797 older adults (mean age = 78.61 years) living in a retirement community in Florida from the ECRC study. Our findings show that measures of social support and connectedness have varying influences on psychological wellbeing. Loneliness was associated with lower life satisfaction (b=- -1.12, p<0.001) and higher depressive symptoms (b=3.52, p<0.001). Higher self-rated social support was associated with higher life satisfaction (b= 1.66, p<0.001) but did not predict depressive symptoms. Depressive symptoms, however, were significantly higher (b=-1.45) among individuals who reported that they don’t have anyone who they can turn to if they feel lonely and want to talk. Feeling lonely also predicted lower positive affects among these older adults (b=-0.65, p<0.001). Similarly, loneliness also predicted higher negative affects (b=1.28, p<0.001). Negative affects were also significantly higher among women (b=-1.15, p<0.001) but lower among those who were living alone (b=-1.06, p<0.001). Overall, our findings underscore the importance of social support and connectedness for psychological wellbeing in later life. This finding is consistent with prior research demonstrating significance of social support in later life for the overall psychological wellbeing of the older adults.

scholarly journals Loneliness, hopelessness and suicide in later life: a case–control psychological autopsy study in rural China

2020 ◽  
Vol 29 ◽  
Author(s):  
Lu Niu ◽  
Cunxian Jia ◽  
Zhenyu Ma ◽  
Guojun Wang ◽  
Bin Sun ◽  
...  
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Logistic Regression ◽  
Depressive Symptoms ◽  
Rural China ◽  
Case Control ◽  
Living Alone ◽  
Psychological Autopsy ◽  
Tree Model ◽  
Elderly Suicide

Abstract Aims Loneliness is increasingly recognised as a serious public health issue worldwide. However, there is scarce research addressing the association between loneliness and suicide in older adults in rural China. We set out to examine loneliness and other psychosocial factors in elderly suicide cases and explore their interaction effects. Methods Using a 1 : 1 matched case–control design, data were collected from 242 elderly suicide cases and 242 living community controls by psychological autopsy method in rural China, including demographic characteristics, loneliness, depression, hopelessness and social support. The chi-square automatic interaction detection (CHAID) tree model and multivariable logistic regression analysis were used to explore the relationships of these factors and suicide. Results The CHAID tree model showed that loneliness, hopelessness and depressive symptoms were closely associated with completed suicide and that loneliness and hopelessness interacted with each other. The result of multivariable logistic regression showed that individuals who were unemployed [odds ratio (OR) = 2.344; 95% confidence interval (CI): 1.233–4.457], living alone (OR = 2.176; 95% CI: 1.113–4.254), had lower levels of subjective social support (OR = 2.185; 95% CI: 1.243–3.843), experienced depressive symptoms (OR = 6.700; 95% CI: 3.405–13.182), showed higher levels of hopelessness (OR = 7.253; 95% CI: 3.764–13.974) and felt higher levels of hopelessness × higher levels of loneliness (OR = 2.446; 95% CI: 1.089–5.492) were significantly associated with an elevated suicide risk in older people in rural China. Conclusions Regular evaluation of loneliness, hopelessness and depression can help detect older adults who are at risk of committing suicide. Interventions should target social support systems, particularly among people living alone, to alleviate feelings of loneliness and hopelessness. Treating depression is also key to preventing suicide among elderly people in rural China.

scholarly journals PSYCHOSOCIAL PREDICTORS OF THE GENDER DIFFERENCE IN DEPRESSION OF OLDER ADULTS IN THE ORANJ BOWL PANEL

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S860-S861
Author(s):  
Christine V Ferri ◽  
Kaite Yang ◽  
Joan Girgus
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Gender Difference ◽  
Functional Ability ◽  
Income Level ◽  
Living Alone ◽  
Psychosocial Predictors ◽  
And Gender ◽  
Preventative Interventions

Abstract Recent reviews show that the gender difference in depressive symptoms that emerges in adolescence persists in older adults (Girgus, Yang & Ferri, 2017; Salk, Hyde & Abramson, 2017). However, researchers have yet to explain why this gender difference occurs in older adults and if it is for the same reasons as in younger ages. The present study used data collected from 3008 participants over the age of 60 (M=66.45, SD=4.36) from the baseline wave of the ORANJ BOWL, a longitudinal study based in New Jersey (Pruchno, Wilson-Genderson, Rose, & Cartwright, 2010). Depressive symptoms were measured with the CES-D. Six psychosocial predictors of the gender difference in depression were analyzed: functional ability, social support, perceived financial comfort, income level, marital status, and living alone. Women reported significantly more depressive symptoms compared to men (p<.001). Women had significantly lower functional ability, physical health, financial comfort, income level, but more social support than men (all p’s<.02). Women were more likely to live alone and to be separated, divorced, or widowed (all p’s<.001). Significant interactions for gender x functional ability, gender x social support, and gender x living alone were found in predicting depression using hierarchical linear regression. Living alone and poor function were more detrimental for men than women. Low social support was more detrimental for women than men. Understanding the gender difference in depressive symptoms will allow for targeted screening and preventative interventions for women and men at highest risk for depression.

scholarly journals Psychosocial and physical factors associated with depression in older adults living in studio apartments: A cross-sectional study of a multi-ethnic Asian population

2019 ◽  
Vol 28 (4) ◽  
pp. 243-251
Author(s):  
Grace Sum ◽  
Yun Ru Tan ◽  
Song-Iee Hong ◽  
Gerald Choon-Huat Koh
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Chronic Conditions ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Exercise Behaviour

Background: There is a rapidly ageing population globally, leading to a rise in subsidised public housing in many countries for older adults. According to the World Health Organisation, depression is the most prevalent mental disorder in older adults. There is a gap in literature on the factors associated with depression in those residing in studio apartments for older adults, characterised by small living spaces and isolated community settings. Objective: The aim of this study was to examine the associations between socio-demographic variables, social support, self-perceived health and mental status, life satisfaction, exercise, physical functioning, chronic conditions, and the use of eldercare services, with depressive symptoms. Methods: We utilised a cross-sectional study of older adults aged ⩾55 years residing in Singapore’s studio apartments. Multivariable logistic regression was applied. Results: Widowhood was associated with depressive symptoms, compared to being married or having a domestic partner (adjusted odds ratio (AOR) = 1.70, 95% confidence interval (CI) = 1.01 to 2.86). Odds of depressive symptoms were associated with difficulty bathing and showering (AOR = 3.74, 95% CI = 1.06 to 13.21). Depressive symptoms were associated with cataract (AOR = 1.67, 95% CI = 1.01 to 2.77) and urinary tract disorder (AOR = 4.70, 95% CI = 1.21 to 18.26). There were dose-response relationships between higher odds of depressive symptoms and poorer social support, self-perceived mental health, life satisfaction, and exercise behaviour ( p for trend < 0.001). Conclusion: Factors including widowhood, physical functioning difficulty, chronic conditions, low social support, low self-perceived mental health, poor life satisfaction, and lack of exercise behaviour, were associated with depressive symptoms in older adults residing in studio apartments. More attention is needed to care for the psychosocial and physical needs of older adults in studio apartments.

Reciprocity in Social Support: An Advantage for the Aging Family

1992 ◽  
Vol 73 (9) ◽  
pp. 533-541 ◽  
Author(s):  
Ellen S. Stevens
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Life Satisfaction ◽  
Empirical Study ◽  
Family Relationships ◽  
Later Life ◽  
Familial Support ◽  
Community Residents

A sample of 108 community residents, ages 60 through 90, participated in an empirical study of family relationships and later-life satisfaction. Findings indicate that reciprocity in the giving and receiving of familial support is associated with later-life satisfaction. Further, older adults who are givers of support are more likely to express greater life satisfaction.

scholarly journals Double Consciousness: Explaining Racial Paradox in Later Life Psychological Well-Being

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 654-655
Author(s):  
Timothy Goler ◽  
Tirth Bhatta
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Later Life ◽  
Well Being ◽  
Race Differences ◽  
Coping Resources ◽  
Psychological Well Being ◽  
Domain Specific ◽  
Overall Life Satisfaction

Abstract A substantial number of studies have documented paradoxical findings when examining race differences in later life psychological well-being. Despite experiencing significant structural disadvantages, Black older adults have been found to report significantly higher overall life satisfaction and lower depressive symptoms than White adults. This study relies on double consciousness framework which allows us to understand why satisfaction with material conditions (e.g., domain-specific life satisfaction) among Black older adults could differ from their evaluation of overall well-being (e.g., overall life satisfaction). Based on a survey of successful aging (n=409 aged 60 years or older) conducted by the Elderly Care Research Center (ECRC) in Cleveland, Ohio, we examined race differences in coping resources, and their role in shaping overall life satisfaction, domain-specific life satisfaction, and depressive symptoms. Findings show that Blacks on average have a higher likelihood of experiencing recent negative life events than their White counterparts. Despite adverse life circumstances, Blacks older adults expressed significantly higher overall life satisfaction than Whites. They, however, reported significantly lower domain-specific life satisfaction than their White counterparts. The differences in depressive symptoms between Black and White older adults was not statistically significant. The race differences in overall life satisfaction was explained by religiosity, religious coping, and social support. Education, income, and adverse life events were found to contribute to such differences in domain-specific life satisfaction. Our findings underscore the need to consider the unique role of racialized life course circumstances and coping resources in shaping disparities in later life psychological well-being.

scholarly journals Typologies of Loneliness, Isolation and Living Alone Are Associated with Psychological Well-Being among Older Adults in Taipei: A Cross-Sectional Study

2020 ◽  
Vol 17 (24) ◽  
pp. 9181
Author(s):  
Hui-Chuan Hsu
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Multinomial Logistic Regression ◽  
Living Arrangement ◽  
Well Being ◽  
Living Alone ◽  
Cross Sectional ◽  
Psychological Well Being ◽  
The Government ◽  
Lower Life Satisfaction

Background: Loneliness, isolation, and living alone are emerging as critical issues in older people’s health and well-being, but the effects are not consistent. The purpose of this study was to examine the clustering of loneliness, isolation, and living alone, the risk factors and the associations with psychological well-being. Methods: The data were collected from the 2019 Taipei City Senior Citizen Condition Survey by face-to-face interviews and included a community-based sample (n = 3553). Loneliness, isolation, and living arrangement were analyzed by cluster analysis to define Loneliness-Isolation-Living-Alone clusters. Multinomial logistic regression was used to examine the factors related to Loneliness-Isolation-Living-Alone clusters, and linear regression was used to examine association of clusters with psychological well-being. Results: Five clusters of older adults were identified and named as follows: Not Lonely-Connected-Others (53.4%), Not Lonely-Isolated-Others (26.6%), Not Lonely-Alone (5.0%), Lonely-Connected (8.1%), and Lonely-Isolated-Others (6.9%). Demographics, financial satisfaction, physical function, family relationship, and social participation were related to the Loneliness-Isolation-Living-Alone clusters. Compared with the Not Lonely-Connected-Others cluster, the Lonely-Connected cluster and Lonely-Isolated-Others cluster had higher depressive symptoms and lower life satisfaction, and the Not Lonely-Isolated-Others cluster reported lower life satisfaction; the Not Lonely-Alone cluster was not different. Discussion: Loneliness and isolation are negatively associated with psychological well-being, and living arrangement is not the determinant to loneliness or isolation. Older adults are suggested to strengthen their informal social support, and the government may encourage social care and create an age friendly environment to reduce loneliness and isolation.

scholarly journals Intergenerational Relationships, Social Support, and Psychological Well-Being Among Korean Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 498-498
Author(s):  
Yooumi Lee ◽  
Janet Wilmoth
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Living Arrangements ◽  
Linear Models ◽  
Depression Scale ◽  
Adult Child ◽  
Intergenerational Relationships ◽  
Well Being ◽  
Psychological Well Being

Abstract This study investigates whether intergenerational relationships and social support improve the psychological well-being of Korean older adults. We examine whether intergenerational relationships and social support directly influence psychological well-being and the extent to which they mediate the distressing consequences of life events such as declining health and recent widowhood. Using longitudinal data from the 2006 to 2016 Korean Longitudinal Study of Aging, we explore depression trajectories among individuals who are 60 or older with at least one living adult child at baseline. Specifically, we converted data from 5,383 older adults into a person-period file with 24,726 observations over a ten-year period. Then we estimated linear growth curve models of depression trajectories separately for men and women using the Center for Epidemiologic Studies Depression Scale (CES-D). Results from the hierarchical linear models indicate that declining health and recent widowhood are positively related to depressive symptoms. Satisfactory intergenerational relationships and social support in the form of personal interactions and proximate living arrangements with adult children decrease depressive symptoms of older parents, especially among women. We conclude that the psychological benefits of intergenerational relationships and social support are contingent upon the vulnerability of older adults and discuss the implications for public policy.

Sign in / Sign up

Export Citation Format

Share Document