The association between household food insecurity and obesity in Mexico: a cross-sectional study of ENSANUT MC 2016

墨西哥家庭粮食不安全与肥胖之间的关联:一项基于 ENSANUT MC 2016 的横断面研究

阅读:2

Abstract

OBJECTIVE: To examine the association between household food insecurity and overweight, obesity and abdominal obesity in Mexican adults. DESIGN: Cross-sectional study. SETTING: We analysed data from the Mexican Halfway National Health and Nutrition Survey 2016, a nationally representative survey that accounted for rural and urban areas in four regions of Mexico: North, Centre, Mexico City and South. PARTICIPANTS: Adults from 20 to 59 years old (n 5456, which represents 45 804 210 individuals at the national level). RESULTS: 70·8 % of the Mexican adults had some degree of household food insecurity. This situation showed larger proportions (P < 0·05) among indigenous people, those living in a rural area, in the Southern region or the lowest socio-economic quintiles. The prevalence of obesity and abdominal obesity was higher in female adults (P < 0·001), with the highest proportions occurring among those experiencing severe household food insecurity. Among women, mean BMI and waist circumference were higher as household food insecurity levels increased (P < 0·001). According to multivariate logistic regression models, severe household food insecurity showed to be positively associated with obesity (OR: 2·36; P = 0·001) in Mexican adult females. CONCLUSIONS: Our findings confirm the association between household food insecurity and obesity among Mexican women. Given the socio-demographic characteristics of the food-insecure population, it is alarming that prevailing socio-economic inequalities in the country might also be contributing to the likelihood of obesity. Therefore, it is crucial to maintain and bolster surveillance systems to track both problems and implement adequate policies and interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。