Evidence map›Paper›PMID 37930879›Full record

SynthesisThe Journal of clinical endocrinology and metabolism2024

Sex-Specific Obesity and Cardiometabolic Disease Risks in Low- and Middle-Income Countries: A Meta-Analysis Involving 3 916 276 Individuals.

Thaís Rocha, Eka Melson, Javier Zamora, Borja Manuel Fernandez-Felix, Wiebke Arlt, Shakila Thangaratinam

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Waiting time for bariatric and metabolic surgery in the Brazilian public health system and comorbidities: what is the impact?Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Analysis of inequities between demographic and social determinants associated with overweight and obesity.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors at 2 institutions in 2 countries.

Thaís RochaInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0003-0113-6877
Eka MelsonInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham B15 2TT, UK.
Javier ZamoraInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham B15 2TT, UK.
Borja Manuel Fernandez-FelixClinical Biostatistics Unit, Hospital Universitario Ramón y Cajal de Investigación Sanitaria (IRYCIS), CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid 28034, Spain.
Wiebke ArltInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0001-5106-9719
Shakila ThangaratinamInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham B15 2TT, UK.
University Hospitals Birmingham NHS Foundation Trust · GBInstituto de Salud Carlos III · ES

Funding

Wellcome TrustWellcome Trust WT209492/Z/17/Z
6 · The paper itself

Abstract

contextThere is limited knowledge about the disparities between the sexes in obesity prevalence and associated cardiovascular complications in low- and middle-income countries (LMICs).

objectiveWe undertook a systematic review and meta-analysis to assess sex-specific disparities in the prevalence of obesity and cardiometabolic diseases in LMICs, the burden in women, and variations by region, country's income status, setting, and time.

methodsWe searched major databases from inception to March 2023. Two independent reviewers selected the studies, assessed their quality, and extracted data. We used DerSimonian and Laird random-effects models to obtain pooled estimates of odds ratios and 95% CI for the association between sex and obesity and cardiometabolic diseases, and multilevel random-effects logistic regression models to estimate the prevalence of relevant outcomes (PROSPERO CRD42019132609).

resultsWe included 345 studies (3 916 276 individuals). The odds of obesity were 2.72-fold higher in women than men (OR 2.72; 95% CI, 2.54-2.91). The sex-specific disparities varied by region, with the greatest disparities in Sub-Saharan Africa (OR 3.91; 95% CI, 3.49-4.39). Among women in LMICs, 23% (95% CI, 21%-25%) had obesity, 27% (95% CI, 24%-29%) had hypertension, and 7% (95% CI, 6%-9%) had type 2 diabetes. The prevalence of obesity and type 2 diabetes in women varied by region, country's income, and setting, with the highest prevalence in the Middle East and North Africa, upper-middle-income countries and urban settings. The odds of hypertension (OR 2.41; 95% CI, 1.89-3.08) and type 2 diabetes (OR 2.65; 95% CI, 1.76-3.98) were doubled in women with vs without obesity.

conclusionThere is an urgent need for a women-centred and region-stratified approach to tackle obesity awareness, treatment, and prevention in women in LMICs.

Indexed as

Cardiovascular DiseasesDeveloping CountriesObesityCardiometabolic Risk FactorsFemaleHumansMalePrevalenceRisk FactorsSex Factorsdeveloping countriesmeta-analysisobesitysex-specificwomen's health

Identifiers

PMID37930879
PMCPMC10940259
OpenAlexW4388425118

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.