Evidence map›Paper›PMID 41019328›Full record

ArticleFrontiers in endocrinology2025

Capturing metabolic syndrome in low-resource settings: a case study in urban Haiti.

Nour Mourra, Vanessa Rouzier, Rodney Sufra, Reichling St Sauveur, Jodany Bernadin, Joseph Inddy, Alexandra Apollon, Rehana Rasul, Anju Ogyu, Lily D Yan and 2 more

Abstract read
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Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Nour MourraDoctor of Medicine Program, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States.
Vanessa RouzierCenter for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Rodney SufraHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Reichling St SauveurHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Jodany BernadinHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Joseph InddyHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Alexandra ApollonHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Rehana RasulDepartment of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States.
Anju OgyuCenter for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Lily D YanCenter for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.
Jean W PapeHaitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti.
Margaret McNairyCenter for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Local epidemiologic data on risk factors for heart disease are needed in low-income settings to guide targeted interventions for prevention and treatment. Metabolic syndrome (MetS) is a cluster of conditions (elevated blood pressure, blood sugar, waist circumference and cholesterol) that increases risk for cardiovascular disease (CVD), however the gold-standard MetS definition requires laboratory testing which are be limited in low-income countries like Haiti. The objective of this study was to estimate the prevalence of MetS in urban Haiti and compare it to alternative nonlaboratory MetS definitions. Methods: This study is a cross-sectional analysis of enrollment data from the population-based Haiti CVD Cohort Study which includes 3,005 participants ≥18 years, in Port-au-Prince. Demographic, health behavior, and clinical data including laboratory tests were collected. Gold standard, harmonized MetS (MetS-H) was defined as having three or more of the following: elevated blood pressure (eBP), elevated waist circumference (eWC), elevated fasting glucose, reduced HDL-C or elevated triglycerides. Three nonlaboratory alternatives were defined as: MetS-1 (eBP, and eWC), MetS-2 (three or more of: eBP, eWC, family or personal history of CVD), and MetS-3 (four or more of: eBP, eWC, family or personal history of CVD, high alcohol intake, current/former smoker, high fat intake). Sensitivity and specificity were calculated for each nonlaboratory MetS definition, compared to MetS-H. Associations between risk factors and MetS-H were assessed using multivariable log-binomial regressions. Results: Among 2721 participants with a mean age of 42 years (SD 16), the prevalence of MetS-H was 21.2% (29.1% women, 10.4% men). Elevated blood pressure (82.9%), reduced HDL-C (81.7%) and elevated waist circumference (90.7%) were the most common components of MetS. The prevalence of nonlaboratory definitions were: MetS-1 22.5%, MetS-2 22.6%, and MetS-3 22.2%. Compared with MetS-H, MetS-1 had the highest sensitivity (74.4%, 95% CI: 70.6%, 77.9%) and the highest specificity (91.6%, 95% CI: 90.7%, 92.7%). Female sex and age >30 years were associated with MetS-H. Discussion: The prevalence of MetS is high in urban Haiti and associated with older age and females. Simplified screening with nonlaboratory MetS definitions may be a pragmatic alternative to screening in low-income countries.

Indexed as

Metabolic SyndromeAdultBlood PressureCardiovascular DiseasesCross-Sectional StudiesFemaleHaitiHumansMaleMiddle AgedPovertyPrevalenceRisk FactorsUrban PopulationWaist Circumferencecardiovascular diseaseelevated waist circumferencehypertensioninsulin resistanceLMICmetabolic syndrome

Identifiers

PMID41019328
PMCPMC12462050

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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.