UMR7206 Eco-Anthropologie (EA), Muséum National d'Histoire Naturelle, CNRS, Université de Paris, Musée de l'Homme, 17 Place du Trocadéro, 75016 Paris, France.
SAMRC/WITS Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa.
Int J Environ Res Public Health. 2022 May 17;19(10):6108. doi: 10.3390/ijerph19106108.
In the context of rapid nutritional transitions in Africa, few studies have analyzed the etiology of obesity by considering the driver pathways that predict body mass index (BMI). The aim of this study is to innovatively identify these driver pathways, including the main sociodemographic and socioecological drivers of BMI. We conducted a rural-urban quantitative study in Cameroon ( = 1106; balanced sex ratio) to explore this issue. We recruited participants and reported several sociodemographic characteristics (e.g., marital status, socioeconomic status (SES), and ethnicity). We then assessed three main socioecological drivers of BMI (body weight perception, dietary intake, and physical activity) and conducted bioanthropometric measurements. We identified several driver pathways predicting BMI. In Cameroon, Bamiléké ethnicity, higher SES, being married, and older age had positive effects on BMI through overweight valorization and/or dietary intake. Accordingly, we found that being Bamiléké, married, and middle-aged, as well as having a higher SES, were factors that constituted at-risk subgroups overexposed to drivers of obesity. As such, this study highlights the necessity of investigating the complex driver pathways that lead to obesity. Therefore, better identification of the subgroups at risk for obesity will help in developing more targeted population health policies in countries where this burden is a major public health issue.
在非洲快速营养转型的背景下,很少有研究通过考虑预测体重指数 (BMI) 的驱动途径来分析肥胖的病因。本研究旨在创新性地识别这些驱动途径,包括 BMI 的主要社会人口学和社会生态学驱动因素。我们在喀麦隆进行了一项城乡定量研究(=1106;性别比例均衡)来探讨这个问题。我们招募了参与者并报告了一些社会人口学特征(例如,婚姻状况、社会经济地位 (SES) 和族裔)。然后,我们评估了 BMI 的三个主要社会生态学驱动因素(身体重量感知、饮食摄入和身体活动)并进行了生物人类学测量。我们确定了几个预测 BMI 的驱动途径。在喀麦隆,巴米莱克族、较高的 SES、已婚和较年长通过超重重视和/或饮食摄入对 BMI 产生积极影响。因此,我们发现,巴米莱克族、已婚和中年、以及较高的 SES,是处于肥胖驱动因素高暴露风险的亚组的构成因素。因此,这项研究强调了研究导致肥胖的复杂驱动途径的必要性。因此,更好地识别肥胖风险亚组将有助于在肥胖负担是主要公共卫生问题的国家制定更有针对性的人口健康政策。