RELATIVE EFFECTS OF DIET & EXERCISE ON BODY COMPOSITION

描述（摘自应用程序） 肥胖是美国主要的公共卫生问题之一。 所有 不利的生活方式因素被认为会增加高水平的 身体脂肪，低体力活动和高膳食脂肪含量被认为是 变得尤为重要 然而，这两者的相对重要性 因素是未知的。 我们建议在中国进行一项新的研究， 这个重要的问题。 中国的研究表明， 广泛的身体活动存在于高和低的个体中 膳食脂肪摄入量，从而允许比较其单独的影响 关于身体脂肪。 两个假设将在一项横断面研究中进行检验， 112名37-47岁的健康成年男性和女性：i）体力活动，但 而不是膳食脂肪摄入量（以代谢能的百分比表示）， 总体脂肪个体变异性的重要预测因子; ii） 位于中心的身体脂肪比例与 体力活动与膳食脂肪摄入量无显著相关性。 研究对象将来自久坐的城市群体， 活跃的农村群体和每个地点内的个人生活在两个高 低人均收入家庭（显示为反映脂肪摄入量）将 招募的 身体脂肪和脂肪分布将由同位素测定 稀释和人体测量，通过7天食物记录的饮食摄入量，以及 通过活动监测器进行的体力活动; 还将确定受试者群体的特征。 将使用多因素方差和协方差分析来确定 体育活动和饮食组成的单独影响，考虑到 考虑潜在的混杂变量。 我们预计， 这项研究将进一步加深我们对过度消费的根本原因的认识， 身体脂肪在成年生活中，并将提供知识，这将有助于 优化成人超重防治建议 和肥胖。

DESCRIPTION (Taken from application) Obesity is one of the major public health problems in the USA. Of all the adverse lifestyle factors thought to increase the risk of high levels of body fat, low physical activity and a high dietary fat content are thought to be especially important. However, the relative importance of these two factors is not known. We propose a new study in the PR China to address this important issue. Previous studies in China have demonstrated that a wide range of physical activity exists in individuals with both high and low dietary fat intakes, thus permitting a comparison of their separate effects on body fat. Two hypotheses will be tested in a cross-sectional study of 112 healthy adult men and women aged 37-47 years: i) physical activity, but not dietary fat intake (expressed as a percent of metabolizable energy), is a significant predictor of individual variability in total body fat; ii) the proportion of body fat located centrally is negatively associated with physical activity and not significantly associated with dietary fat intake. Subjects for the study will be from sedentary urban groups and physically active rural groups and within each location individuals living in both high and low per capita income households (shown to reflect fat intake) will be recruited. Body fat and fat distribution will be determined by isotope dilution and anthropometry, dietary intake by a 7-day food record, and physical activity by activity monitors; additional variables for characterization of the subject population will also be determined. Multi-factor analysis of variance and covariance will be used to determine the separate effects of physical activity and diet composition, taking into account potential confounding variables. We anticipate that the results of this study will further our knowledge of the underlying causes of excess body fat during adult life, and will provide knowledge that will help to optimize recommendations for prevention and treatment of adult overweight and obesity.