Evidence map›Paper›PMID 38742095›Full record

ArticleHealth science reports2024

Socioeconomic determinants of the double burden of malnutrition among women of reproductive age in sub-Saharan Africa: A cross-sectional study.

Joshua Okyere, Eugene Budu, Richard Gyan Aboagye, Abdul-Aziz Seidu, Bright Opoku Ahinkorah, Sanni Yaya

Abstract read
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Defining double burden of malnutrition across individual, household and population level: A narrative review.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
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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

6 authors.

Joshua OkyereDepartment of Population and Health University of Cape Coast Cape Coast Ghana.ORCID 0000-0003-4080-7522
Eugene BuduKorle Bu Teaching Hospital Accra Ghana.
Richard Gyan AboagyeDepartment of Family and Community Health, Fred N. Binka School of Public Health University of Health and Allied Sciences Hohoe Ghana.ORCID 0000-0002-3498-2909
Abdul-Aziz SeiduCentre for Gender and Advocacy Takoradi Technical University Takoradi Ghana.ORCID 0000-0001-9734-9054
Bright Opoku AhinkorahSchool of Clinical Medicine University of New South Wales Sydney Sydney Australia.
Sanni YayaSchool of International Development and Global Studies University of Ottawa Ottawa Canada.ORCID 0000-0002-6003-139X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The positioning of eliminating all forms of malnutrition within the spirit of the Sustainable Development Goals and the adoption of the United Nations resolution for a Decade of Action on Nutrition are a testament to strong global commitment to combat the double burden of malnutrition (DBM). Yet, there is a knowledge gap in sub-Saharan Africa (SSA) regarding the influence of socioeconomic status on DBM. We investigated the associative effect of socioeconomic status on DBM in SSA. Methods: Data for the study were extracted from the most recent Demographic and Health Surveys (DHS) of 29 countries in SSA conducted from 2010 to 2020. Bivariate and multivariate logistic regression models were fitted to examine the association between socioeconomic status and DBM. The results were presented using adjusted odds ratio (aOR) and 95% confidence interval (CI). Results: Children of obese mothers were less likely to be stunted compared to those born to mothers who were not overweight/obese [aOR = 0.70; 95% CI = 0.66-0.77]. The odds of stunting increased with wealth index, with children born to poorest mothers having the highest odds compared to those born to richest mother [aOR = 1.79; 95% CI = 1.64-1.95]. The odds of stunting among children was highest among those born to mothers with no formal education compared to those whose mothers had higher education [aOR = 2.73; 95% CI = 2.34-3.18]. Conclusion: DBM among children in SSA is predicted by maternal level of education, and wealth status. These results underscore the urgency of tailored interventions and policies that address DBM among women of reproductive age, with a particular focus on the socioeconomic disparities in SSA. To effectively combat this pressing public health issue, it is imperative to direct efforts towards empowering women to attain higher levels of education and to implement strategies that consider the specific needs of women across varying socioeconomic statuses.

Indexed as

malnutritionpublic healthsocioeconomicstunting

Identifiers

PMID38742095
PMCPMC11089015

What OpenQuestion holds

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Registered trials

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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.