You Wenpeng, Henneberg Maciej
Biological Anthropology and Comparative Anatomy Unit, School of Medicine, the University of Adelaide, Adelaide, SA, Australia.
Institute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland.
AIMS Public Health. 2016 May 20;3(2):313-328. doi: 10.3934/publichealth.2016.2.313. eCollection 2016.
Cereals have been extensively advocated as the beneficial food group in terms of body weight management, but each staple cereal crop may contribute in different ways. Studies of the association between wheat availability and risk of obesity are controversial. This study aimed to test the global and regional association between wheat availability as reported by FAO and obesity prevalence at a population level. FAO does not distinguish between whole grain wheat and refined wheat.
Population-specific data from 170 countries on prevalence of obesity, availabilities of mixed cereals, wheat, rice, maize, meat, sugar, fat, soy and calories and GDP are obtained from the UN agencies. All variables were measured as per capita per day (or per year). Each country is treated as an individual subject. SPSS v. 22 is used to analyse these data for all the 170 countries and official country groupings (regions) using non parametric and parametric correlations, including partial correlation analysis.
Pearson's correlation coefficient analysis showed that obesity prevalence is positively associated with wheat availability ( = 0.500, < 0.001), but is inversely associated with availabilities of total cereals ( = -0.132, = 0.087), rice ( = -0.405, < 0.001) and maize ( = -0.227, = 0.004). These associations remain in partial correlation model when we keep availabilities of meat, fat, sugar, soy, caloric intake and GDP statistically constant. Overall, positive associations between wheat availability and obesity prevalence remain in different regions. Maize and mixed cereal availabilities do not show independent associations with the obesity prevalence.
Our study suggests that wheat availability is an independent predictor of the obesity prevalence both worldwide and with special regard to the regions of Africa, Americas and Asia. Future studies should distinguish between possible influence of whole grain and ultra-processed refined wheat products.
谷物在体重管理方面被广泛倡导为有益的食物类别,但每种主要谷物作物的作用方式可能不同。关于小麦供应与肥胖风险之间关联的研究存在争议。本研究旨在检验粮农组织报告的小麦供应量与人群肥胖患病率之间的全球和区域关联。粮农组织未区分全麦和精制小麦。
从联合国机构获取170个国家关于肥胖患病率、混合谷物、小麦、大米、玉米、肉类、糖、脂肪大豆的供应量、卡路里摄入量以及国内生产总值的特定人群数据。所有变量均按人均每日(或每年)进行测量。每个国家被视为一个个体对象。使用SPSS v. 22对这170个国家和官方国家分组(地区)的数据进行分析,采用非参数和参数相关性分析,包括偏相关分析。
皮尔逊相关系数分析表明,肥胖患病率与小麦供应量呈正相关(r = 0.500,P < 0.001),但与总谷物供应量(r = -0.132,P = 0.087)、大米供应量(r = -0.405,P < 0.001)和玉米供应量(r = -0.227,P = 0.004)呈负相关。当我们将肉类、脂肪、糖、大豆的供应量、热量摄入和国内生产总值在统计学上保持恒定时,这些关联在偏相关模型中依然存在。总体而言,小麦供应量与肥胖患病率之间的正相关在不同地区均存在。玉米供应量和混合谷物供应量与肥胖患病率未显示出独立关联。
我们的研究表明,小麦供应量是全球以及非洲、美洲和亚洲地区肥胖患病率的独立预测因素。未来的研究应区分全麦和超加工精制小麦产品可能产生的影响。