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Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older People in Latin America, India, and China: A Population-Based Cohort Study

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  • Cleusa P Ferri
  • Daisy Acosta

Abstract

The vital status of 12,373 people aged 65 years and over was determined 3–5 years after baseline survey in sites in Latin America, India, and China. Crude and standardised mortality rates are reported, standardized mortality ratios comparing mortality experience with that in the United States, and estimated associations with socioeconomic factors using Cox’s proportional hazards regression. Cause-specific mortality fractions were estimated using the InterVA algorithm. Crude mortality rates varied from 27.3 to 70.0 per 1,000 person-years, a 3-fold variation persisting after standardisation for demographic and economic factors. Compared with the US, mortality was much higher in urban India and rural China, much lower in Peru, Venezuela, and urban Mexico, and similar in other sites. Mortality rates were higher among men, and increased with age. Adjusting for these effects, it was found that education, occupational attainment, assets, and pension receipt were all inversely associated with mortality, and food insecurity positively associated. Mutually adjusted, only education remained protective (pooled hazard ratio 0.93, 95% CI 0.89–0.98). Most deaths occurred at home, but, except in India, most individuals received medical attention during their final illness. Chronic diseases were the main causes of death, together with tuberculosis and liver disease, with stroke the leading cause in nearly all sites. [Plos Research article]. URL:[http://www.plosmedicine.org/article/info%3Adoi%2F10.1371%2Fjournal.pmed.1001179].

Suggested Citation

  • Cleusa P Ferri & Daisy Acosta, 2012. "Socioeconomic Factors and All Cause and Cause-Specific Mortality among Older People in Latin America, India, and China: A Population-Based Cohort Study," Working Papers id:4828, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:4828
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    References listed on IDEAS

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    1. Jersey Liang & John F. McCarthy & Arvind Jain & Neal Krause & Joan M. Bennett & Shengzu Gu, 2000. "Socioeconomic Gradient in Old Age Mortality in Wuhan, China," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 55(4), pages 222-233.
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    1. Ana Carolina Patrício de Albuquerque Sousa & Ricardo Oliveira Guerra & Mai Thanh Tu & Susan P Phillips & Jack M Guralnik & Maria-Victoria Zunzunegui, 2014. "Lifecourse Adversity and Physical Performance across Countries among Men and Women Aged 65-74," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
    2. Silvia Stringhini & Valentin Rousson & Bharathi Viswanathan & Jude Gedeon & Fred Paccaud & Pascal Bovet, 2014. "Association of Socioeconomic Status with Overall and Cause Specific Mortality in the Republic of Seychelles: Results from a Cohort Study in the African Region," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-8, July.
    3. Cäzilia Loibl & Alec P. Rhodes & Stephanie Moulton & Donald Haurin & Chrisse Edmunds, 2022. "Food insecurity among older adults in the U.S.: The role of mortgage borrowing," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 549-574, June.
    4. Santini, Ziggi Ivan & Koyanagi, Ai & Tyrovolas, Stefanos & Haro, Josep M. & Fiori, Katherine L. & Uwakwa, Richard & Thiyagarajan, Jotheeswaran A. & Webber, Martin & Prince, Martin & Prina, A. Matthew, 2015. "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," Social Science & Medicine, Elsevier, vol. 147(C), pages 134-143.

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