Evidence map›Paper›PMID 26940113›Full record

ArticleBMJ open2016

Premature adult mortality in urban Zambia: a repeated population-based cross-sectional study.

Sujit D Rathod, Ian M Timæus, Richard Banda, Kusanthan Thankian, Roma Chilengi, Andrew Banda, Musonda Lemba, Jeffrey S A Stringer, Benjamin H Chi

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Sujit D RathodDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-8783-7724
Ian M TimæusDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK Centre for Actuarial Research, University of Cape Town, Cape Town, South Africa.
Richard BandaResearch, Publications and Dissemination Unit, Zambia Central Statistical Office, Lusaka, Zambia.
Kusanthan ThankianDepartment of Gender Studies, University of Zambia, Lusaka, Zambia.
Roma ChilengiCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.ORCID http://orcid.org/0000-0003-0221-9527
Andrew BandaDepartment of Population Studies, University of Zambia, Lusaka, Zambia.
Musonda LembaDepartment of Population Studies, University of Zambia, Lusaka, Zambia.
Jeffrey S A StringerUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Benjamin H ChiUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
Mentoring new investigators in PMTCT implementation researchK24AI120796 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Benjamin H. Chi · 2016 to 2026
$1.3M
FIC NIH HHS R24 TW007988FIC NIH HHS R24TW007988NIAID NIH HHS K24 AI120796NIAID NIH HHS P30 AI050410NIAID NIH HHS P30AI050410PEPFARPHS HHS U62/CCU12354
6 · The paper itself

Abstract

objectivesTo measure the sex-specific and community-specific mortality rates for adults in Lusaka, Zambia, and to identify potential individual-level, household-level and community-level correlates of premature mortality. We conducted 12 survey rounds of a population-based cross-sectional study between 2004 and 2011, and collected data via a structured interview with a household head.

settingHouseholds in Lusaka District, Zambia, 2004-2011.

participants43,064 household heads (88% female) who enumerated 123,807 adult household members aged between 15 and 60 years. PRIMARY OUTCOME: Premature adult mortality.

resultsThe overall mortality rate was 16.2/1000 person-years for men and 12.3/1000 person-years for women. The conditional probability of dying between age 15 and 60 (45q15) was 0.626 for men and 0.537 for women. The top three causes of death for men and women were infectious in origin (ie, tuberculosis, HIV and malaria). We observed an over twofold variation of mortality rates between communities. The mortality rate was 1.98 times higher (95% CI 1.57 to 2.51) in households where a family member required nursing care, 1.44 times higher (95% CI 1.22 to 1.71) during the cool dry season, and 1.28 times higher (95% CI 1.06 to 1.54) in communities with low-cost housing.

conclusionsTo meet Zambia's development goals, further investigation is needed into the factors associated with adult mortality. Mortality can potentially be reduced through focus on high-need households and communities, and improved infectious disease prevention and treatment services.

Indexed as

Family CharacteristicsMortality, PrematureResidence CharacteristicsRisk AssessmentAdolescentAdultAge DistributionCross-Sectional StudiesFemaleHumansMaleMiddle AgedPopulation SurveillanceRegression AnalysisSex DistributionSocioeconomic Factorsadultcause of deathcross-sectional studiesmortality>trendsZambia>epidemiology

Identifiers

PMID26940113
PMCPMC4785326

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LicenceCC BY-NC
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Registered trials

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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.