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Original Article

Predictors of BMI Vary along the BMI Range of German Adults - Results of the German National Nutrition Survey II

Moon K.a · Krems C.a · Heuer T.a · Roth A.b · Hoffmann I.a

Author affiliations

aDepartment of Nutritional Behaviour, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany; bDepartment of Child and Adolescent Psychiatry and Psychotherapy, University of Zurich, Zurich, Switzerland

Corresponding Author

Dr. Carolin Krems

Max Rubner-Institut

Federal Research Institute of Nutrition and Food

Haid-und-Neu-Straße 9, 76131 Karlsruhe, Germany

carolin.krems@mri.bund.de

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Abstract

Objective: 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. Methods: 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. Results: 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. Conclusions: 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.

© 2017 The Author(s) Published by S. Karger GmbH, Freiburg


Article / Publication Details

First-Page Preview
Abstract of Original Article

Received: July 20, 2016
Accepted: January 11, 2017
Published online: February 21, 2017
Issue release date: March 2017

Number of Print Pages: 12
Number of Figures: 2
Number of Tables: 3

ISSN: 1662-4025 (Print)
eISSN: 1662-4033 (Online)

For additional information: http://www.karger.com/OFA


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