[Abdominal obesity and other cardiometabolic risk biomarkers: influence of socioeconomic status and lifestyle on two African-origin population groups, Cotonou (Benin) and Port-au-Prince (Haiti)].

Autor: Mabchour AE; TRANSNUT, Centre Collaborateur de l'OMS sur la Transition Nutritionnelle, Département de nutrition, Faculté de médecine, Université de Montréal, Québec, Canada., Delisle H; TRANSNUT, Centre Collaborateur de l'OMS sur la Transition Nutritionnelle, Département de nutrition, Faculté de médecine, Université de Montréal, Québec, Canada., Vilgrain C; Fondation Haïtienne de Diabète et des Maladies Cardiovasculaires (FHADIMAC), Port-au-Prince, Haïti., Larco P; Fondation Haïtienne de Diabète et des Maladies Cardiovasculaires (FHADIMAC), Port-au-Prince, Haïti., Sodjinou R; Organisation Ouest Africaine de la Santé (OOAS), Bobo-Dioulasso, Burkina Faso.
Jazyk: francouzština
Zdroj: The Pan African medical journal [Pan Afr Med J] 2016 Aug 10; Vol. 24, pp. 306. Date of Electronic Publication: 2016 Aug 10 (Print Publication: 2016).
DOI: 10.11604/pamj.2016.24.306.8530
Abstrakt: 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.
Competing Interests: Conflits d’intérêts Les auteurs ne déclarent aucun conflit d’intérêt.
Databáze: MEDLINE
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