ArticleBMC public health2019
Socioeconomic inequalities in metabolic syndrome in the French West Indies.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- The association of dietary fiber, antioxidants, and micronutrients with metabolic syndrome among fishermen and farmers: The mediating role of physical activity (A case-control study).Journal of education and health promotion · 2026Article
- The prevalence of metabolic syndrome and its economic inequality in an elderly population.Scientific reports · 2025Article
- Anthropometric and Physiological Measures in Individuals With At-Risk Mental State (ARMS) Compared With Individuals With Schizophrenia: Findings From a Lower Middle-Income Country.Early intervention in psychiatry · 2025Article
- Association Between Socio-Economic Status (SES) and the Traditional Risk Factors of Cardiovascular Diseases (CVD): A Cross-Sectional MASHAD Cohort Study Results.Health science reports · 2025Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- Capturing metabolic syndrome in low-resource settings: a case study in urban Haiti.Frontiers in endocrinology · 2025Article
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Shifts in dietary patterns and risk of type-2 diabetes in a Caribbean adult population: ways to address diabetes burden.European journal of nutrition · 2023Article
- Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.Circulation · 2023Review
- Prevalence of metabolic syndrome in East Azerbaijan-Iran and its determinants factors.Journal of cardiovascular and thoracic research · 2023Article
- Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults.Epidemiology and health · 2023Article
- Cannabis Use Is Inversely Associated with Metabolic Disorders in Hepatitis C-Infected Patients (ANRS CO22 Hepather Cohort).Journal of clinical medicine · 2022Article
- Is Loneliness an Undervalued Pathway between Socio-Economic Disadvantage and Health?International journal of environmental research and public health · 2021Article
- Immediate impacts of COVID-19 crisis on agricultural and food systems in the Caribbean.Agricultural systems · 2021Article
- Caribbean nutrition transition: what can we learn from dietary patterns in the French West Indies?European journal of nutrition · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundObesity and metabolic diseases represent a major health burden in the Caribbean, particularly since a large part of the population is disadvantaged. However, socioeconomic inequalities in chronic diseases are poorly explored in this region. We investigated the association between socioeconomic position and metabolic syndrome (MetS) prevalence and explored the contribution of diet quality to explain this association, among adults in the French West Indies.
methodsThis cross-sectional analysis included 1144 subjects (≥16 y) from a multistage sampling survey conducted in 2013-2014 on a representative sample of the Guadeloupean and Martinican population. MetS prevalence was assessed using the Joint Interim Statement. Dietary intakes were estimated from 24 h-dietary recalls, and diet quality was assessed through the Diet Quality Index-International (DQI-I). Associations between socioeconomic indicators (education, employment, social assistance benefits) and MetS prevalence, and the potential contribution of diet quality in this association were assessed using multivariable logistic regression models, adjusted for sociodemographic characteristics.
resultsMetS prevalence adjusted for age and sex was 21 and 30% among Guadeloupean and Martinican, respectively. Compared to high-educated participants, low-educated subjects were more likely to be at risk of MetS (OR = 2.4; 95%CI = [1.3-4.4], respectively), as were recipients of social assistance benefits compared to non-recipients (OR = 2.0; 95%CI = [1.0-4.0]). The DQI-I explained 10.5% of the overall variation in MetS due to education.
conclusionsSocioeconomic inequalities in MetS prevalence, reflected by education and social assistance benefits, were found. However, diet quality contributed only to socioeconomic inequalities due to education underlining that education may impact health through the ability to generate overall dietary behavior, long-term beneficial. Our work identified subgroups with higher risk of MetS, which is needed when implementing public health measures, particularly in this Caribbean population with of high poverty rates. Further prospective studies are needed to improve our understanding of the mechanisms of social inequalities in MetS in a high poverty rates context.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.