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

Overview of attention for article published in International Journal for Equity in Health, March 2018
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Title
Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa
Published in
International Journal for Equity in Health, March 2018
DOI 10.1186/s12939-018-0741-0
Pubmed ID
Authors

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

Abstract

Chronic 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. We 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. Both 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. Our 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 17%
Student > Master 17 16%
Student > Ph. D. Student 11 10%
Other 5 5%
Student > Postgraduate 5 5%
Other 19 18%
Unknown 31 29%
Readers by discipline Count As %
Medicine and Dentistry 15 14%
Nursing and Health Professions 11 10%
Social Sciences 11 10%
Economics, Econometrics and Finance 8 8%
Psychology 7 7%
Other 19 18%
Unknown 35 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2020.
All research outputs
#17,932,482
of 23,026,672 outputs
Outputs from International Journal for Equity in Health
#1,659
of 1,926 outputs
Outputs of similar age
#241,453
of 331,974 outputs
Outputs of similar age from International Journal for Equity in Health
#33
of 38 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.