Department of Mathematics, College of Arts and Sciences, University of Toledo, Toledo, Ohio 43606, USA.
Nutr Res Pract. 2011 Jun;5(3):253-9. doi: 10.4162/nrp.2011.5.3.253. Epub 2011 Jun 21.
The rapid rise in the incidence of obesity has emerged as one of the most pressing global public health issues in recent years. The underlying etiological causes of obesity, whether behavioral, environmental, genetic, or a combination of several of them, have not been completely elucidated. The obesity epidemic has been attributed to the ready availability, abundance, and overconsumption of high-energy content food. We determined here by Pearson's correlation the relationship between food type consumption and rising obesity using the loss-adjusted food availability data from the United States Department of Agriculture (USDA) Economic Research Services (ERS) as well as the obesity prevalence data from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey (NHANES) at the Centers for Disease Control and Prevention (CDC). Our analysis showed that total calorie intake and consumption of high fructose corn syrup (HFCS) did not correlate with rising obesity trends. Intake of other major food types, including chicken, dairy fats, salad and cooking oils, and cheese also did not correlate with obesity trends. However, our results surprisingly revealed that consumption of corn products correlated with rising obesity and was independent of gender and race/ethnicity among population dynamics in the U.S. Therefore, we were able to demonstrate a novel link between the consumption of corn products and rising obesity trends that has not been previously attributed to the obesity epidemic. This correlation coincides with the introduction of bioengineered corns into the human food chain, thus raising a new hypothesis that should be tested in molecular and animal models of obesity.
肥胖症发病率的迅速上升已成为近年来全球最紧迫的公共卫生问题之一。肥胖症的潜在病因,无论是行为、环境、遗传因素还是多种因素的综合作用,尚未完全阐明。肥胖症的流行归因于高能量食品的易得性、丰富性和过度消费。我们使用美国农业部(USDA)经济研究服务处(ERS)的损失调整食品供应数据以及疾病预防控制中心(CDC)的行为风险因素监测系统(BRFSS)和国家健康和营养检查调查(NHANES)的肥胖症流行数据,通过皮尔逊相关性分析确定了食品类型消费与肥胖症上升之间的关系。我们的分析表明,总卡路里摄入量和高果糖玉米糖浆(HFCS)的消费与肥胖症上升趋势没有相关性。其他主要食品类别的摄入,包括鸡肉、乳脂、沙拉和烹饪油以及奶酪,也与肥胖症趋势没有相关性。然而,我们的结果令人惊讶地表明,玉米制品的消费与肥胖症上升有关,且与美国人口动态中的性别和种族/民族无关。因此,我们能够证明玉米制品消费与肥胖症上升趋势之间存在新的联系,而这一联系以前并未归因于肥胖症流行。这一相关性与生物工程玉米进入人类食物链相吻合,从而提出了一个新的假说,应该在肥胖症的分子和动物模型中进行测试。