Evidence map›Paper›PMID 24436509›Full record

ArticleDevelopment Southern Africa2014

Mortality in South Africa - socioeconomic profile and association with self-reported health.

Cally Ardington, Boingotlo Gasealahwe

Abstract read
In one paragraph

Article in Development Southern Africa, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

2 authors.

Cally ArdingtonSouthern Africa Labour and Development Research Unit, University of Cape Town, cally.ardington@uct.ac.za.
Boingotlo GasealahweSchool of Economics, University of Cape Town, gasealahwe.boingotlo@gmail.com.

Funding

Malnutrition and socioeconomic status of South African childrenR01TW008661 · FIC · UNIVERSITY OF CAPE TOWN · PI ARDINGTON, CAROLYN SUSAN · 2010 to 2014
$263k
FIC NIH HHS R01 TW008661
6 · The paper itself

Abstract

This paper exploits the first two waves of NIDS to describe the socioeconomic profile of mortality and to assess whether self-rated health status is predictive of mortality between waves. Mortality rates in NIDS are in line with estimates from official death notification data and display the expected hump of excess mortality in early and middle adulthood due to AIDS, with the excess peaking earlier for women than for men. We find evidence of a socioeconomic gradient in mortality with higher rates of mortality for individuals from asset poor households and with lower levels of education. Consistent with evidence from many industrialized countries and a few developing countries, we find self-rated health to be a significant predictor of two year mortality, an association that remains after controlling for socioeconomic status and several other subjective and objective measures of health.

Indexed as

mortalityself-rated health

Identifiers

PMID24436509
PMCPMC3890238

What OpenQuestion holds

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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.