Evidence map›Paper›PMID 41381698›Full record

ArticleCommunications medicine2025

Decomposing wealth-based inequalities in ideal cardiovascular health in Kenya.

James Odhiambo Oguta, Penny Breeze, Catherine Akoth, Elvis Wambiya, Grace Mbuthia, Peter Otieno, Gladwell Gathecha, Elizabeth Onyango, Yvette Kisaka, Peter J Dodd

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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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

10 authors.

James Odhiambo OgutaSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK. mcogutajamo@gmail.com.ORCID http://orcid.org/0000-0002-2401-9895
Penny BreezeSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Catherine AkothSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Elvis WambiyaSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Grace MbuthiaSchool of Nursing, College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Peter OtienoAfrican Population and Health Research Center, Nairobi, Kenya.
Gladwell GathechaDivision of Cancer and Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya.
Elizabeth OnyangoDivision of Cancer and Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya.
Yvette KisakaDivision of Cancer and Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya.
Peter J DoddSheffield Centre for Health and Related Research, Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0001-5825-9347

Funding

Wellcome TrustWellcome Trust (Wellcome) 218462/Z/19/Z
6 · The paper itself

Abstract

backgroundThis study examined wealth-related inequalities in ideal cardiovascular health (iCVH), as defined by the 2010 American Heart Association guideline, among Kenyan adults.

methodsThe study analysed data from 3816 adults who participated in the 2015 World Health Organization (WHO) STEPwise survey on non-communicable disease risk factors. The concentration index (C) and concentration curves were used to quantify inequalities in overall iCVH and its seven-component metrics, and a Wagstaff-type decomposition analysis was performed to identify the main factors contributing to the observed inequalities.

resultsA pro-rich inequality (higher prevalence in individuals with wealth) is observed in overall iCVH (C = 0.08; p = 0.006), which is more pronounced among women. Pro-rich inequalities are also evident for ideal body mass index (C = 0.31; p < 0.001), ideal blood pressure (C = 0.16; p < 0.001), and ideal total cholesterol (C = 0.15; p = 0.005). Conversely, pro-poor inequalities (higher prevalence in individuals living in poverty) are observed in ideal nicotine exposure (C = -0.10; p = 0.012) and fruit and vegetable intake (C = -0.09; p = 0.048). No significant inequalities are detected for ideal fasting blood glucose (C = -0.03; p = 0.534) or physical activity (C = 0.05; p = 0.291). Decomposition analysis shows that urban residence (31.4%), wealth (30.7%), region (16.5%), and education (8.5%) contribute most to the observed pro-rich inequality in iCVH.

conclusionsSocioeconomic inequalities for iCVH in Kenya are more prevalent in people with wealth, particularly among women. Addressing these disparities requires equity-oriented, gender-sensitive prevention policies targeting people living in poverty and less-educated populations, especially in urban settings.

Identifiers

PMID41381698
PMCPMC12808186

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