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Centre for Policy on Ageing | |
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Living arrangements, social networks and depressive symptoms among older men and women in Singapore | Author(s) | Angelique Chan, Chetna Malhotra, Rahul Malhotra, Truls Ostbye |
Journal title | International Journal of Geriatric Psychiatry, vol 26, no 6, June 2011 |
Pages | pp 630-639 |
Source | http://www.interscience.wiley.com/journal/gps |
Keywords | Living patterns ; Personal relationships ; 60-64 age group ; Depression ; Singapore. |
Annotation | The study aimed to examine the association of living arrangements and social networks outside the household with depressive symptoms among older men and women. It also looked at whether these relationships differ between older men and women, and investigated whether the association of living arrangements with depressive symptoms varies by strength of social networks. Data for 4,489 community-dwelling Singaporeans aged 60 and above from a recent nationally representative survey were analysed. Depressive symptoms were assessed using the 11-item CES-D (Center for Epidemiologic Studies) scale, social networks through Lubben's revised social network scale, and living arrangements through household composition. Analysis was stratified by gender, and descriptive and multivariate statistics were used to assess the risk of depressive symptoms by living arrangements and social networks, adjusting for age, ethnic group, education, housing type, functional status, number of chronic diseases and involvement in social activities. Results indicated that women had higher depressive symptom scores than men. Living alone and living with one or more children but no spouse and weak social networks outside the household were associated with higher depressive symptom scores among both men and women. Men living alone with weak social networks outside the household had higher depressive symptom scores than those with strong networks. (JL). |
Accession Number | CPA-110822007 A |
Classmark | K7: DS: BBC: ENR: 7XD |
Data © Centre for Policy on Ageing |
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...from the Ageinfo database published by Centre for Policy on Ageing. |
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