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Obésité abdominale et autres biomarqueurs de risque cardiométabolique: influence du niveau socioéconomique et du mode de vie dans deux populations noires apparentées, Cotonou (Bénin) et Port-au-Prince (Haïti)
INTRODUCTION: Increased cardio metabolic risk (CMR) in low- and middle-income countries is largely due to rapid nutrition transition. We conducted a study of two African-origin populations groups living, however, in widely different settings. It aimed to assess the relationship between lifestyle and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267786/ https://www.ncbi.nlm.nih.gov/pubmed/28154661 http://dx.doi.org/10.11604/pamj.2016.24.306.8530 |
Sumario: | INTRODUCTION: Increased cardio metabolic risk (CMR) in low- and middle-income countries is largely due to rapid nutrition transition. We conducted a study of two African-origin populations groups living, however, in widely different settings. It aimed to assess the relationship between lifestyle and CMR biomarkers as well as between abdominal obesity (AO) and other biomarkers. METHODS: The study included 200 Benineses from Cotonou and 252 Haitians from Port-with-Prince (PAP) aged between 25 to 60 years and apparently in good health. AO was specifically defined as waist circumference ≥ 88cm (men) and ≥ 95 cm (women). Other most common biomarkers were: high total cholesterol/HDL cholesterol ratio, high blood pressure and insulin resistance by HOMA (Homeostasis Model Assessement). Socioeconomic status, diet, alcohol and tobacco were documented by questionnaire. Two dietary patterns emerged from cluster analysis, one traditional and the other "transitional" with increasing frequency of western foods. RESULTS: Socioeconomic status, consumption of alcohol and nicotinism were associated with CMR, but not the food diagram. AO was associated with other CMR markers, with no marked effect of socioeconomic status and lifestyle variables. CONCLUSION: Specific TT threshold values are confirmed as socioeconomic status and lifestyle have an impact on CMR, but not the relationship between AO and other CMR biomarkers. |
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