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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

Bibliographic Data

ID4588884
AuthorsZiggi Ivan Santini (0000-0002-7318-3181), Ai Koyanagi (0000-0002-9565-5004), Stefanos Tyrovola (0000-0003-4797-7743), Stefanos Tyrovolas (0000-0003-1498-0997), Josep Maria Haro (0000-0002-3984-277X), Katherine L Fiori (0000-0003-3386-5898), Richard Uwakwa, Jotheeswaran A Thiyagarajan (0000-0001-7895-788X), Martin Webber (0000-0003-3604-1376), Martin Prince (0000-0003-1379-7146), Matthew Prina (0000-0001-6698-3263), A Matthew Prina
Year2015
Volume147
Pages134-143
Publication date2015-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2015.10.061
PMID26575604
OpenAlexW2101154297
LanguageEN
Citations received17
References cited81

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

China · Cohort · Geography · Latin Americans · Political science · Population · Rural area · Social network (sociolinguistics · Socioeconomics · Sociology · Dementia and Cognitive Impairment Research · Health disparities and outcomes · Medicine · Technology Use by Older Adults · Demography · Gerontology

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Unique citing works17
Citations per year1,89
Citation span2017 - 2025 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 17

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