{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T03:55:41Z","timestamp":1782186941397,"version":"3.54.5"},"reference-count":33,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Accelerometer calibration for physical activity (PA) intensity is commonly performed using Metabolic Equivalent of Task (MET) as criterion. However, MET is not an age-equivalent measure of PA intensity, which limits the use of MET-calibrated accelerometers for age-related PA investigations. We investigated calibration using VO2net (VO2gross \u2212 VO2stand; mL\u22c5min\u22121\u22c5kg\u22121) as criterion compared to MET (VO2gross\/VO2rest) and the effect on assessment of free-living PA in children, adolescents and adults. Oxygen consumption and hip\/thigh accelerometer data were collected during rest, stand and treadmill walk and run. Equivalent speed (Speedeq) was used as indicator of the absolute speed (Speedabs) performed with the same effort in individuals of different body size\/age. The results showed that VO2net was higher in younger age-groups for Speedabs, but was similar in the three age-groups for Speedeq. MET was lower in younger age-groups for both Speedabs and Speedeq. The same VO2net-values respective MET-values were applied to all age-groups to develop accelerometer PA intensity cut-points. Free-living moderate-and-vigorous PA was 216, 115, 74 and 71 min\/d in children, adolescents, younger and older adults with VO2net-calibration, but 140, 83, 74 and 41 min\/d with MET-calibration, respectively. In conclusion, VO2net calibration of accelerometers may provide age-equivalent measures of PA intensity\/effort for more accurate age-related investigations of PA in epidemiological research.<\/jats:p>","DOI":"10.3390\/s19153377","type":"journal-article","created":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T11:39:37Z","timestamp":1564659577000},"page":"3377","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO2net Instead of MET for Age-Equivalent Physical Activity Intensity"],"prefix":"10.3390","volume":"19","author":[{"given":"Daniel","family":"Arvidsson","sequence":"first","affiliation":[{"name":"Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, 40530 Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7003-4025","authenticated-orcid":false,"given":"Jonatan","family":"Fridolfsson","sequence":"additional","affiliation":[{"name":"Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, 40530 Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0261-704X","authenticated-orcid":false,"given":"Christoph","family":"Buck","sequence":"additional","affiliation":[{"name":"Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology\u2014BIPS, 28359 Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00d6rjan","family":"Ekblom","sequence":"additional","affiliation":[{"name":"\u00c5strand Laboratory of Work Physiology, Swedish School of Sport and Health Sciences, 11486 Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elin","family":"Ekblom-Bak","sequence":"additional","affiliation":[{"name":"\u00c5strand Laboratory of Work Physiology, Swedish School of Sport and Health Sciences, 11486 Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lauren","family":"Lissner","sequence":"additional","affiliation":[{"name":"Department of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monica","family":"Hunsberger","sequence":"additional","affiliation":[{"name":"Department of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mats","family":"B\u00f6rjesson","sequence":"additional","affiliation":[{"name":"Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, 40530 Gothenburg, Sweden"},{"name":"Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden"},{"name":"Sahlgrenska University Hospital\/\u00d6stra, 41345 Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.ypmed.2018.08.001","article-title":"Associations of volumes and patterns of physical activity with metabolic health in children: A multivariate pattern analysis approach","volume":"115","author":"Aadland","year":"2018","journal-title":"Prev. 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