Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174270
Title: Social network typologies and mortality risk among older people in China, India, and Latin America: A 10/66 Dementia Research Group population-based cohort study
Author: Santini, Ziggi Ivan
Koyanagi, Ai
Tyrovolas, Stefanos
Haro Abad, Josep Maria
Fiori, Katherine L.
Uwakwa, Richard
Thiyagarajan, Jotheeswaran A.
Webber, Martin
Prince, Martin
Prina, A. Matthew
Keywords: Xarxes socials
Prevenció en l'ús de les xarxes socials
Mortalitat
Països en vies de desenvolupament
Social networks
Prevention in the use of social networks
Mortality
Developing countries
Issue Date: Dec-2015
Publisher: Elsevier Ltd
Abstract: BACKGROUND: Restricted social networks have been associated with higher mortality in several developed countries but there are no studies on this topic from developing countries. This gap exists despite potentially greater dependence on social networks for support and survival due to various barriers to health care and social protection schemes in this setting. Thus, this study aims to examine how social network type at baseline predicts all-cause mortality among older adults in six Latin American countries, China, and India. METHODS: Population-based surveys were conducted of all individuals aged 65+ years in eight countries (Cuba, Dominican Republic, Peru, Venezuela, Mexico, Puerto Rico, China, and India). Data on mortality were obtained at follow-up (mean 3.8 years after cohort inception). Follow-up data for 13,891 individuals were analysed. Social network types were assessed using Wenger's Practitioner Assessment of Network Type (PANT). Cox proportional hazard models were constructed to estimate the impact of social network type on mortality risk in each country, adjusting for socio-demographics, receipt of pension, disability, medical conditions, and depression. Meta-analysis was performed to obtain pooled estimates. RESULTS: The prevalence of private network type was 64.4% in urban China and 1.6% in rural China, while the prevalence of locally integrated type was 6.6% in urban China and 86.8% in rural China. The adjusted pooled estimates across (a) all countries and (b) Latin America showed that, compared to the locally integrated social network type, the locally self-contained [(b) HR = 1.24, 95%CI 1.01-1.51], family dependent [(a) HR = 1.13, 95%CI 1.01-1.26; (b) HR = 1.13, 95%CI 1.001-1.28], and private [(a) HR = 1.36, 95%CI 1.06-1.73; (b) HR = 1.45, 95%CI 1.20-1.75] social network types were significantly associated with higher mortality risk. CONCLUSION: Survival time is significantly reduced in individuals embedded in restricted social networks (i.e. locally self-contained, family dependent, and private network types). Social care interventions may be enhanced by addressing the needs of those most at risk of neglect and deteriorating health. Health policy makers in developing countries may use this information to plan efficient use of limited resources by targeting those embedded in restricted social networks. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved. KEYWORDS: Ageing; Developing countries; Interpersonal relations; Mortality; Social networks; Social support; Survival rate
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.socscimed.2015.10.061
It is part of: Social Science & Medicine, 2015, vol. 147, p. 134-143
URI: http://hdl.handle.net/2445/174270
Related resource: https://doi.org/10.1016/j.socscimed.2015.10.061
ISSN: 0277-9536
Appears in Collections:Articles publicats en revistes (Medicina)

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