Author
Listed:
- Zoé Colombet
(UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier, Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Marlène Perignon
(UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Benoît Salanave
(Santé publique France - French National Public Health Agency [Saint-Maurice, France])
- Edwige Landais
(IRD - Institut de Recherche pour le Développement, NutriPass - Nutrition et Alimentation des Populations aux Suds - UM1 - Université Montpellier 1 - IRD - Institut de Recherche pour le Développement - UM2 - Université Montpellier 2 - Sciences et Techniques - UM - Université de Montpellier - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Yves Martin-Prével
(NutriPass - Nutrition et Alimentation des Populations aux Suds - UM1 - Université Montpellier 1 - IRD - Institut de Recherche pour le Développement - UM2 - Université Montpellier 2 - Sciences et Techniques - UM - Université de Montpellier - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Benjamin Allès
(CRESS (U1153 / UMR_A_1125 / UMR_S_1153) - Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité - INRA - Institut National de la Recherche Agronomique - UPD7 - Université Paris Diderot - Paris 7 - UPD5 - Université Paris Descartes - Paris 5 - USPC - Université Sorbonne Paris Cité - INSERM - Institut National de la Santé et de la Recherche Médicale)
- Sophie Drogue
(UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Marie Josephe Amiot
(UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
- Caroline Méjean
(UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)
Abstract
Background Obesity 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. Methods This 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. Results MetS 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. Conclusions Socioeconomic 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.
Suggested Citation
Zoé Colombet & Marlène Perignon & Benoît Salanave & Edwige Landais & Yves Martin-Prével & Benjamin Allès & Sophie Drogue & Marie Josephe Amiot & Caroline Méjean, 2019.
"Socioeconomic inequalities in metabolic syndrome in the French West Indies,"
Post-Print
hal-02396253, HAL.
Handle:
RePEc:hal:journl:hal-02396253
DOI: 10.1186/s12889-019-7970-z
Note: View the original document on HAL open archive server: https://hal.science/hal-02396253v1
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Citations
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Cited by:
- Blazy, J.M. & Causeret, F. & Guyader, S., 2021.
"Immediate impacts of COVID-19 crisis on agricultural and food systems in the Caribbean,"
Agricultural Systems, Elsevier, vol. 190(C).
- Rachelle Meisters & Polina Putrik & Daan Westra & Hans Bosma & Dirk Ruwaard & Maria Jansen, 2021.
"Is Loneliness an Undervalued Pathway between Socio-Economic Disadvantage and Health?,"
IJERPH, MDPI, vol. 18(19), pages 1-13, September.
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