ArticlePloS one2014
Mortality level and predictors in a rural Ethiopian population: community based longitudinal study.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Patterns and determinants of COVID-19 mortality in Bangladesh: insights from three health and demographic surveillance systems across diverse socio-environmental settings.Population health metrics · 2026Article
- Validity of InterVA model versus physician review of verbal autopsy for tracking tuberculosis-related mortality in Ethiopia.BMC infectious diseases · 2022Article
- New Perspective on Why Women Live Longer Than Men: An Exploration of Power, Gender, Social Determinants, and Capitals.International journal of environmental research and public health · 2021Article
- Article
- Infant mortality and causes of infant deaths in rural Ethiopia: a population-based cohort of 3684 births.BMC public health · 2015Article
- How much do the physician review and InterVA model agree in determining causes of death? A comparative analysis of deaths in rural Ethiopia.BMC public health · 2015Article
- Poor linkages in maternal health care services-evidence on antenatal care and institutional delivery from a community-based longitudinal study in Tigray region, Ethiopia.BMC pregnancy and childbirth · 2014Article
- Causes of death among females-investigating beyond maternal causes: a community-based longitudinal study.BMC research notes · 2014Article
- Causes of death among adults in northern Ethiopia: evidence from verbal autopsy data in health and demographic surveillance system.PloS one · 2014Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundOver the last fifty years the world has seen enormous decline in mortality rates. However, in low-income countries, where vital registration systems are absent, mortality statistics are not easily available. The recent economic growth of Ethiopia and the parallel large scale healthcare investments make investigating mortality figures worthwhile.
methodsLongitudinal health and demographic surveillance data collected from September 11, 2009 to September 10, 2012 were analysed. We computed incidence of mortality, overall and stratified by background variables. Poisson regression was used to test for a linear trend in the standardized mortality rates. Cox-regression analysis was used to identify predictors of mortality. Households located at <2300 meter and ≥ 2300 meter altitude were defined to be midland and highland, respectively.
resultsAn open cohort, with a baseline population of 66,438 individuals, was followed for three years to generate 194,083 person-years of observation. The crude mortality rate was 4.04 (95% CI: 3.77, 4.34) per 1,000 person-years. During the follow-up period, incidence of mortality significantly declined among under five (P<0.001) and 5-14 years old (P<0.001), whereas it increased among 65 years and above (P<0.001). Adjusted for other covariates, mortality was higher in males (hazard ratio (HR) = 1.42, 95% CI: 1.22, 1.66), rural population (HR = 1.74, 95% CI: 1.32, 2.31), highland (HR = 1.20, 95% CI: 1.03, 1.40) and among those widowed (HR = 2.25, 95% CI: 1.81, 2.80) and divorced (HR = 1.80, 95% CI: 1.30, 2.48).
conclusionsOverall mortality rate was low. The level and patterns of mortality indicate changes in the epidemiology of major causes of death. Certain population groups had significantly higher mortality rates and further research is warranted to identify causes of higher mortality in those groups.
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