%0 Journal Article
%A Jeran, Stephanie
%A Steinbrecher, Astrid
%A Haas, Verena
%A Mähler, Anja
%A Boschmann, Michael
%A Westerterp, Klaas R
%A Brühmann, Boris A
%A Steindorf, Karen
%A Pischon, Tobias
%T Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity.
%J Scientific reports
%V 12
%N 1
%@ 2045-2322
%C [London]
%I Macmillan Publishers Limited, part of Springer Nature
%M DKFZ-2022-02328
%P 16578
%D 2022
%X The purpose of the study was to develop prediction models to estimate physical activity (PA)-related energy expenditure (AEE) based on accelerometry and additional variables in free-living adults. In 50 volunteers (20-69 years) PA was determined over 2 weeks using the hip-worn Actigraph GT3X + as vector magnitude (VM) counts/minute. AEE was calculated based on total daily EE (measured by doubly-labeled water), resting EE (indirect calorimetry), and diet-induced thermogenesis. Anthropometry, body composition, blood pressure, heart rate, fitness, sociodemographic and lifestyle factors, PA habits and food intake were assessed. Prediction models were developed by context-grouping of 75 variables, and within-group stepwise selection (stage I). All significant variables were jointly offered for second stepwise regression (stage II). Explained AEE variance was estimated based on variables remaining significant. Alternative scenarios with different availability of groups from stage I were simulated. When all 11 significant variables (selected in stage I) were jointly offered for stage II stepwise selection, the final model explained 70.7
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:36195647
%R 10.1038/s41598-022-20639-0
%U https://inrepo02.dkfz.de/record/181958