{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:58:06Z","timestamp":1787068686927,"version":"build-2736575974"},"reference-count":62,"publisher":"IOP Publishing","issue":"9","license":[{"start":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T00:00:00Z","timestamp":1758153600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T00:00:00Z","timestamp":1758153600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Physiol. Meas."],"published-print":{"date-parts":[[2025,9,30]]},"abstract":"Abstract<\/jats:title>\n \n Objective.<\/jats:italic>\n The aim was to examine the relationship between accelerometer and oxygen consumption (VO\n 2<\/jats:sub>\n ) metrics and to what extent the metrics are normalized across age and body size, to allow a single calibration regression line for absolute physical activity (PA) intensity.\n Approach.<\/jats:italic>\n Hip-mounted accelerometer data and VO\n 2<\/jats:sub>\n measurements were collected from 51 participants across five age cohorts (4\u20135; 6\u20138; 10; 15 and 20 years) during resting, walking and running on a treadmill in laboratory setting. Linear regressions were used to determine four accelerometer metrics\u2019 (AG, 4 Hz frequency extended method (FEM), 10 Hz FEM and Euclidean norm minus one) contribution to explained variance (adjusted\n R<\/jats:italic>\n 2<\/jats:sup>\n ) in six VO\n 2<\/jats:sub>\n metrics (VO\n 2<\/jats:sub>\n , VO\n 2<\/jats:sub>\n \/<\/jats:bold>\n kg\n 1<\/jats:sup>\n , VO\n 2<\/jats:sub>\n \/<\/jats:bold>\n kg\n 0.67<\/jats:sup>\n , VO\n 2<\/jats:sub>\n \/<\/jats:bold>\n kg\n 0.75<\/jats:sup>\n , MET\n measured<\/jats:sub>\n and MET\n fixed<\/jats:sub>\n ). Plots were generated for visual representations together with log-linear regression, finding the optimal scaling exponent for VO\n 2<\/jats:sub>\n .\n Main result.<\/jats:italic>\n 10 Hz FEM explained the highest amount of explained variance when related to VO\n 2<\/jats:sub>\n \/<\/jats:bold>\n kg\n 0.75<\/jats:sup>\n , 92.4%, with minimal remaining between-group and inter-individual variance. The relationship demonstrated a linear shape. The most used accelerometer metric, AG counts, together with traditionally used reference standard, MET\n fixed<\/jats:sub>\n , show substantially lower explained variance, 60.2%, with large between-group and inter-individual variance, insufficiently adjusting for physiological and biomechanical variability. The best body weight scaling factor for VO\n 2<\/jats:sub>\n was 0.77. Findings support the use of a single linear calibration regression line for absolute PA intensity across wide-ranging age-groups, accounting for biomechanical and physiological variance.\n Significance.<\/jats:italic>\n This enables reliable and meaningful comparisons of PA intensity across age-groups, possibly also across childhood into adulthood, overcoming traditional limitations and enhancing research quality.\n <\/jats:p>","DOI":"10.1088\/1361-6579\/ae008e","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T22:53:47Z","timestamp":1756421627000},"page":"095007","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["From motion to metabolism: investigating the relationship between accelerometer and VO\n 2<\/sub>\n metrics across five age groups for optimal calibration of physical activity intensity"],"prefix":"10.1088","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0504-2835","authenticated-orcid":true,"given":"Pia","family":"Skovdahl","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7003-4025","authenticated-orcid":true,"given":"Jonatan","family":"Fridolfsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Inas","family":"Abed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8786-0438","authenticated-orcid":true,"given":"Mats","family":"B\u00f6rjesson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Arvidsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2025,9,18]]},"reference":[{"key":"pmeaae008ebib1","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1097\/00005768-199801000-00023","type":"journal-article","article-title":"Peak oxygen uptake and maturation in 12-yr olds","volume":"30","author":"Armstrong","year":"1998","journal-title":"Med. 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