Socioeconomic inequalities in metabolic syndrome in the French West Indies

被引:20
作者
Colombet, Zoe [1 ]
Perignon, Marlene [1 ]
Salanave, Benoit [2 ]
Landais, Edwige [3 ]
Martin-Prevel, Yves [3 ]
Alles, Benjamin [4 ]
Drogue, Sophie [1 ]
Amiot, Marie Josephe [1 ]
Mejean, Caroline [1 ]
机构
[1] Univ Montpellier, Montpellier SupAgro, INRA, UMR 1110,MOISA,CIRAD,CIHEAM,IAMM, 2 Pl Pierre Viala, F-34000 Montpellier, France
[2] Paris 13 Univ, Nutr Surveillance & Epidemiol Team ESEN, French Publ Hlth Agcy, Ctr Rech Epidemiol & Stat,COMUE Sorbonne Paris Ci, Bobigny, France
[3] Univ Montpellier, French Natl Res Inst Sustainable Dev IRD, UMR204, Nutripass, Montpellier, France
[4] Univ Paris 07, Univ Paris 05, Univ Paris 13,Inserm, Sorbonne Paris Cite,EREN,U1153,Inra,U1125,Cnam,Ct, F-93017 Bobigny, France
关键词
Metabolic syndrome; Socioeconomic inequalities; Diet quality; French West Indies; Caribbean; Food consumption; JUAN METROPOLITAN-AREA; SAN-JUAN; NUTRITION TRANSITION; RISK-FACTORS; LIFE-STYLE; HEALTH; ADULTS; PREVALENCE; DIET; EDUCATION;
D O I
10.1186/s12889-019-7970-z
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
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页数:11
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