Xia P F, Zhang Y B, Liu G, Pan A
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2020 Feb 6;54(2):228-232. doi: 10.3760/cma.j.issn.0253-9624.2020.02.022.
The energy adjustment models in nutritional epidemiological studies could substantially reduce the confounding effect of total energy intake from the intake of dietary components, and it could explore the real relationship between the intake of dietary component and research outcomes. Four energy adjustment models were introduced in this article, including the standard multivariate model, multivariate nutrient residual model, energy partition model, and multivariate nutrient density model. The four energy adjustment models were applied to analyze the association between the intake of saturated fatty acids and the risk of all-cause mortality based on the data of the US National Health and Nutrition Examination Survey. The consistent results of different energy adjustment models could indicate that the four models could better control the confounding effect of total energy intake.
营养流行病学研究中的能量调整模型可大幅降低膳食成分摄入量中总能量摄入的混杂效应,并能探究膳食成分摄入量与研究结果之间的真实关系。本文介绍了四种能量调整模型,包括标准多变量模型、多营养素残差模型、能量分配模型和多营养素密度模型。基于美国国家健康与营养检查调查的数据,应用这四种能量调整模型分析饱和脂肪酸摄入量与全因死亡率风险之间的关联。不同能量调整模型的一致结果表明这四种模型能更好地控制总能量摄入的混杂效应。