Evidence map›Paper›PMID 24675840›Full record

ArticlePloS one2014

Mortality level and predictors in a rural Ethiopian population: community based longitudinal study.

Berhe Weldearegawi, Mark Spigt, Yemane Berhane, Geertjan Dinant

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Berhe WeldearegawiDepartment of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia; CAPHRI, School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands.
Mark SpigtDepartment of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia; CAPHRI, School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands.
Yemane BerhaneAddis Continental Institute of Public Health, Addis Ababa, Ethiopia.
Geertjan DinantCAPHRI, School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands.

Funding

NCHHSTP CDC HHS 5U22/PS022179_05NCHHSTP CDC HHS U22 PS022179
6 · The paper itself

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.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolEthiopiaFemaleGeographyHumansIncidenceInfantLongitudinal StudiesMaleMiddle AgedMortality

Identifiers

PMID24675840
PMCPMC3968055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.