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African Population Studies
Union for African Population Studies
ISSN: 0850-5780
Vol. 33, No. 1, 2019, pp. 4631-4641
Bioline Code: ep19004
Full paper language: English
Document type: Research Article
Document available free of charge

African Population Studies, Vol. 33, No. 1, 2019, pp. 4631-4641

 en Determinants of sex differentials in mortality: an assessment of household-level factors in South Africa
Dindi, Pierre & Wet, Nicole De

Abstract

Background: Increasingly high male mortality hinders progress towards improving overall life expectancy.
Data Source & Method: The study used data from South Africa’s 2016 Community Survey to examine the household-level determinants of male mortality. Chi square tests and binary logistic regression were used.
Results: Out of the 30,022 deaths in the sample, males comprised 52.8%. Male deaths were high at all ages except for age group 75+ years. Odds of male mortality were higher (OR:2.08; CI:1.98-2.18) among those that lived in female headed households or White-headed households (OR:1.50;CI:1.29-1.73). There was less likelihood of male deaths (OR:0.91;CI:0.87-0.97) in households that were not involved in agriculture.
Conclusion: Overall, mortality differentials were largely explained by household demographics including age, race and gender dynamics of heads of households. We recommend a multi-sectoral policy and programme implementation that promotes deliberate inclusiveness of household characteristics in their delivery.

Keywords
South Africa; mortality; longevity; logistic regression; households

 
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