{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(1)"],"submitter":["Jeran S"],"pubmed_abstract":["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 "],"journal":["Scientific reports"],"pagination":["16578"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9532429"],"repository":["biostudies-literature"],"pubmed_title":["Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity."],"pmcid":["PMC9532429"],"pubmed_authors":["Haas V","Westerterp KR","Bruhmann BA","Mahler A","Pischon T","Jeran S","Steinbrecher A","Boschmann M","Steindorf K"],"additional_accession":[]},"is_claimable":false,"name":"Prediction of activity-related energy expenditure under free-living conditions using accelerometer-derived physical activity.","description":"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 ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-04T13:46:19.583Z","creation":"2025-04-04T13:46:19.583Z"},"accession":"S-EPMC9532429","cross_references":{"pubmed":["36195647"],"doi":["10.1038/s41598-022-20639-0"]}}