Evidence map›Paper›PMID 29026378›Full record

ArticleAfrican health sciences2017

Contextual determinants of adolescent mortality in South Africa.

Nicole De Wet, Clifford Odimegwu

Abstract read
In one paragraph

Article in African health sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi.International journal of environmental research and public health · 2022
    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

2 authors.

Nicole De WetDemography and Population Studies, University of the Witwatersrand.
Clifford OdimegwuDemography and Population Studies, University of the Witwatersrand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSouth Africa has a large adolescent population (approximately 20% of the total population). The survival and development of these individuals are a priority among parents and the government. In an effort to better understand the factors contributing to adolescent mortality in South Africa, this study examined the effect of household and community factors on adolescent death.

methodsThe study used data from Census 2001. Multilevel modelling was used to study the impact of community and household factors on adolescent mortality. A multivariate binary logistic 2-level model was developed. Odds ratios were produced and, statistically significant values (p<0.05) were discussed. There were 41,261 reported adolescent deaths from census data.

resultsThis study found that having a few household assets, six or more people living in a residence, and high racial diversity is associated with increased odds of adolescent mortality in South Africa in 2001.

conclusionsSocio-economic status of the household and racial diversity within communities is likely to increase adolescent mortality in South Africa. However, there is need to examine the role of other community characteristics, such as number of schools, health facilities and employment opportunities in order to create a holistic profile of the contextual determinants of adolescent mortality in the country.

Indexed as

AdolescentFamily CharacteristicsMortalityFemaleHousingHumansLogistic ModelsMaleMultilevel AnalysisPovertyRisk FactorsSouth AfricaAdolescent mortalitySouth Africa

Identifiers

PMID29026378
PMCPMC5636260

What OpenQuestion holds

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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.