Evidence map›Paper›PMID 40601665›Full record

ArticlePLOS global public health2025

Socioeconomic inequality for hypertension among reproductive age women aged 15-49 from five Sub-Saharan Africa countries: A decomposition analysis of DHS Data.

Daniel Bekele Ketema, Desalegn Markos Shifti, Teketo Kassaw Tegegne, Daniel Bogale Odo, Subash Thapa, Abel Dadi, Tahir Ahmed Hassen, Getiye Dejenu Kibret, Zemen Y Kassa, Erkihun Amsalu and 6 more

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Article in PLOS global public health, 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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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

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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. Article
4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Daniel Bekele KetemaCollege of Medicine and Health science, School of Public Health, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0000-0002-7464-7814
Desalegn Markos ShiftiChild Health Research Centre, The University of Queensland, South Brisbane, Australia.
Teketo Kassaw TegegneInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
Daniel Bogale OdoNational Centre for Aboriginal and Torres Strait Islander Wellbeing Research, National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Subash ThapaRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Abel DadiMenzies School of Health research, Charles Darwin University, Brinkin, Australia.
Tahir Ahmed HassenCollege of Health, Medicine and Wellbeing University of Newcastle, Australia.
Getiye Dejenu KibretCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.
Zemen Y KassaCollege of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Erkihun AmsaluSydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Yonatan M MesfinImmunity, & Global Health, Murdoch Children's Research Institute (MCRI), Parkville Victoria, Australia.
Habtamu Mellie BizuayehuThe First Nations Cancer & Wellbeing Research (FNCWR) Program, School of Public Health, The University of Queensland, Brisbane, Australia.
Sewunet Admasu BelachewThe First Nations Cancer & Wellbeing Research (FNCWR) Program, School of Public Health, The University of Queensland, Brisbane, Australia.
Meless Gebrie BoreSchool of Nursing and Midwifery, Faculty of Health, University of Technology Sydney, Ultimo, New South Wales, Australia.
Abdulbasit SeidSchool of Public Health and Prevention Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-5979-3426
Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3797-5234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a significant public health issue in sub-Saharan Africa, especially among reproductive-aged women. This study aims to assess and decompose socioeconomic inequalities in hypertension across five SSA countries using DHS data. Our study analyzed the latest Demographic and Health Survey data from five SSA countries, including Benin, Cameroon, Ghana, Kenya, and Lesotho. We selected these five SSA countries based on data availability and conducted analyses using the Erreygers normalized concentration index (ECI) and concentration curve to measure and decompose inequalities.A weighted total sample of 52,076 reproductive-age women in SSA were included. The overall weighted ECI was estimated to be 0.06 (95% confidence interval (CI):0.049; 0.065). Key contributors to socioeconomic inequalities in hypertension include wealth quantile (126%), media exposure (19%), and educational attainment (2.3%), marital status (-34.3%), and residence (-31.7).In conclusion, there is a clear pro-rich socioeconomic inequality in hypertension among reproductive-age women in Sub-Saharan Africa. Wealth index, marital status, media exposure, and place of residence are the primary drivers of this disparity. Addressing these socioeconomic disparities through targeted interventions can significantly reduce hypertension rates among reproductive-aged women in SSA.

Identifiers

PMID40601665
PMCPMC12221035

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