Moon Kilson, Krems Carolin, Heuer Thorsten, Roth Alexander, Hoffmann Ingrid
Department of Nutritional Behaviour, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany.
Obes Facts. 2017;10(1):38-49. doi: 10.1159/000456665. Epub 2017 Feb 21.
The objective of the study was to identify predictors of BMI in German adults by considering the BMI distribution and to determine whether the association between BMI and its predictors varies along the BMI distribution.
The sample included 9,214 adults aged 18-80 years from the German National Nutrition Survey II (NVS II). Quantile regression analyses were conducted to examine the association between BMI and the following predictors: age, sports activities, socio-economic status (SES), healthy eating index-NVS II (HEI-NVS II), dietary knowledge, sleeping duration and energy intake as well as status of smoking, partner relationship and self-reported health.
Age, SES, self-reported health status, sports activities and energy intake were the strongest predictors of BMI. The important outcome of this study is that the association between BMI and its predictors varies along the BMI distribution. Especially, energy intake, health status and SES were marginally associated with BMI in normal-weight subjects; this relationships became stronger in the range of overweight, and were strongest in the range of obesity.
Predictors of BMI and the strength of these associations vary across the BMI distribution in German adults. Consequently, to identify predictors of BMI, the entire BMI distribution should be considered.
本研究的目的是通过考虑体重指数(BMI)分布来确定德国成年人BMI的预测因素,并确定BMI与其预测因素之间的关联是否会随着BMI分布而变化。
样本包括来自德国第二次全国营养调查(NVS II)的9214名18至80岁的成年人。进行了分位数回归分析,以检验BMI与以下预测因素之间的关联:年龄、体育活动、社会经济地位(SES)、NVS II健康饮食指数(HEI-NVS II)、饮食知识、睡眠时间和能量摄入,以及吸烟状况、伴侣关系和自我报告的健康状况。
年龄、SES、自我报告的健康状况、体育活动和能量摄入是BMI的最强预测因素。本研究的重要结果是,BMI与其预测因素之间的关联会随着BMI分布而变化。特别是,能量摄入、健康状况和SES在正常体重受试者中与BMI的关联较弱;这种关系在超重范围内变得更强,在肥胖范围内最强。
德国成年人中,BMI的预测因素及其关联强度在BMI分布中各不相同。因此,为了确定BMI的预测因素,应考虑整个BMI分布。