Evidence map›Paper›PMID 29998052›Full record

ArticlePreventive medicine reports2018

Neighbourhood deprivation, smoking, and race in South Africa: A cross-sectional analysis.

Yan Kwan Lau, Jamie Tam, Nancy L Fleischer, Rafael Meza

Abstract read
In one paragraph

Article in Preventive medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Yan Kwan LauDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, 1415 Washington Heights, United States of America.
Jamie TamDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, 1415 Washington Heights, United States of America.
Nancy L FleischerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, 1415 Washington Heights, United States of America.
Rafael MezaDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, 1415 Washington Heights, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the role of neighbourhood-level deprivation in low- and middle-income countries with respect to tobacco use is relatively nascent. In South Africa, where race and deprivation are closely linked due to the history of apartheid, smoking disparities exist by individual risk factors such as gender, race, and socioeconomic status. However, less is known about how community-level factors affect smoking disparities in the country, or how the relationship between deprivation and smoking differs by race. We used data from the 2008 South African National Income Dynamics Study (NIDS) and Poisson generalised estimating equations to assess the relationship between neighbourhood deprivation and current smoking for individuals nested within neighbourhoods, while controlling for individual-level and household-level covariates. Subgroup analyses for racial categories Black and Coloured were performed. We found that the relationship between neighbourhood deprivation and smoking prevalence was non-linear: the smoking prevalence ratio was highest among those in the middle range for our deprivation index, and lower at extremely high and low levels of deprivation. Both Black and Coloured subsamples exhibited this inverted U-shape, although the relationship was weaker in the latter group. That the relationship between neighbourhood deprivation and smoking is non-linear contrasts with what has been found in high-income countries, where the relationship between neighbourhood deprivation and smoking is linear. Moreover, these findings are relevant to assess the potential differential impact of smoking interventions as a function of socioeconomic and environmental context.

Indexed as

EpidemiologyResidential characteristicsSmokingSouth Africa

Identifiers

PMID29998052
PMCPMC6039353

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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.