Evidence map›Paper›PMID 29510733›Full record

ArticleInternational journal for equity in health2018

Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa.

Kafui Adjaye-Gbewonyo, Ichiro Kawachi, S V Subramanian, Mauricio Avendano

Abstract read
In one paragraph

Article in International journal for equity in health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Kafui Adjaye-GbewonyoDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Kresge 7th Floor, Boston, MA, 02115, USA.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Kresge 7th Floor, Boston, MA, 02115, USA.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Kresge 7th Floor, Boston, MA, 02115, USA.
Mauricio AvendanoDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Kresge 7th Floor, Boston, MA, 02115, USA. mauricio.avendano_pabon@kcl.ac.uk.

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
PUBLIC HEALTH TRAINING FOR UNDERREPRESENTED MINORITIESR25GM055353 · NIGMS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KAWACHI, ICHIRO · 1998 to 2013
$6.8M
European Research Council 263684Horizon 2020 633666Horizon 2020 667661NHLBI NIH HHS T32 HL098048NHLBI NIH HHS T32 HL 098048INIGMS NIH HHS R25 GM055353NIH HHS GM055353-13
6 · The paper itself

Abstract

backgroundChronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stress and risk for CVD. This study examines how changes in income inequality over recent years relate to changes in CVD risk factors in South Africa, home to some of the highest levels of income inequality globally.

methodsWe linked longitudinal data from 9356 individuals interviewed in the 2008 and 2012 National Income Dynamics Study to district-level Gini coefficients estimated from census and survey data. We investigated whether subnational district income inequality was associated with several modifiable risk factors for cardiovascular disease (CVD) in South Africa, including body mass index (BMI), waist circumference, blood pressure, physical inactivity, smoking, and high alcohol consumption. We ran individual fixed-effects models to examine the association between changes in income inequality and changes in CVD risk factors over time. Linear models were used for continuous metabolic outcomes while conditional Poisson models were used to estimate risk ratios for dichotomous behavioral outcomes.

resultsBoth income inequality and prevalence of most CVD risk factors increased over the period of study. In longitudinal fixed-effects models, changes in district Gini coefficients were not significantly associated with changes in CVD risk factors.

conclusionsOur findings do not support the hypothesis that subnational district income inequality is associated with CVD risk factors within the high-inequality setting of South Africa.

Indexed as

Health StatusSocioeconomic FactorsAdultAlcohol DrinkingCardiovascular DiseasesComorbidityFemaleHumansIncomeMaleMiddle AgedPovertyPrevalenceRisk FactorsSmokingSouth AfricaCardiovascular diseaseGini coefficientHealth behaviorIncome inequalityLongitudinalMultilevelRisk factor

Identifiers

PMID29510733
PMCPMC5839065

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.