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Trends in and determinants of mortality in the elderly population of Matlab, Bangladesh

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  • Mostafa, Golam
  • van Ginneken, Jeroen K.

Abstract

Longitudinal data collected from the Demographic Surveillance System (DSS) in Matlab, a rural area in Bangladesh, are used for determining trends in and determinants of mortality of the elderly population (60 yr and over) in 1974-1996. The old-age mortality rate is high in Matlab, 1.2 times that of Sri Lankan and 1.5 times that of the Swedish elderly population in a comparable period. Mortality among the elderly population declined in 1974-1982, but much less so in 1982-1996. Proportional hazards models were used for examining determinants of mortality in a sample of about 10,000 elderly persons. This multivariate analysis used information on several social and economic variables derived from the 1982 census and mortality data of this population which was followed prospectively in 1982-1992. Marital status was the single most important determinant: widows and widowers had 1.5 to 2 times higher risk of death compared to couples where both husbands and wives were alive. Social support in old age by children also plays a role, especially for women: women living with at least one son or daughter had 18% lower mortality than women living in a household without sons or daughters. Socioeconomic factors are also important. Those who had at least some education or were relatively affluent had lower mortality than those with no education or who were less affluent.

Suggested Citation

  • Mostafa, Golam & van Ginneken, Jeroen K., 2000. "Trends in and determinants of mortality in the elderly population of Matlab, Bangladesh," Social Science & Medicine, Elsevier, vol. 50(6), pages 763-771, March.
    • Handle: RePEc:eee:socmed:v:50:y:2000:i:6:p:763-771
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    Citations

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    Cited by:

    1. Quaddus, M.A. & Bauer, S., 2014. "Food security and morbidity of elderly in disadvantaged rural Bangladesh," Journal of the Bangladesh Agricultural University, Bangladesh Agricultural University Research System (BAURES), vol. 12.
    2. Anoshua Chaudhuri, 2009. "Spillover Impacts of a Reproductive Health Program on Elderly Women in Rural Bangladesh," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 113-125, June.
    3. Lucky Singh & Perianayagam Arokiasamy & Prashant Kumar Singh & Rajesh Kumar Rai, 2013. "Determinants of Gender Differences in Self-Rated Health Among Older Population," SAGE Open, , vol. 3(2), pages 21582440134, May.
    4. Eran Shor & David Roelfs & Misty Curreli & Lynn Clemow & Matthew Burg & Joseph Schwartz, 2012. "Widowhood and Mortality: A Meta-Analysis and Meta-Regression," Demography, Springer;Population Association of America (PAA), vol. 49(2), pages 575-606, May.
    5. Olukunle Samuel Olaniran & Olusola Olakunle Ogunjinmi, 2022. "Modelling the Impacts of Agricultural Outputs and its Components on Human Mortality Rate in Nigeria," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 11(1), pages 146-160, January.
    6. Sibai, Abla M. & Yount, Kathryn M. & Fletcher, Astrid, 2007. "Marital status, intergenerational co-residence and cardiovascular and all-cause mortality among middle-aged and older men and women during wartime in Beirut: Gains and liabilities," Social Science & Medicine, Elsevier, vol. 64(1), pages 64-76, January.
    7. Manzoli, Lamberto & Villari, Paolo & M Pirone, Giovanni & Boccia, Antonio, 2007. "Marital status and mortality in the elderly: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 64(1), pages 77-94, January.
    8. Zimmer, Zachary & Martin, Linda G. & Lin, Hui-Sheng, 2005. "Determinants of old-age mortality in Taiwan," Social Science & Medicine, Elsevier, vol. 60(3), pages 457-470, February.

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    Keywords

    Elderly Mortality Matlab Bangladesh;

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