Pablo Rozier-Delgado, Hervé Di Domenico, Baptiste Morel
{"title":"Evaluation of moderate to vigorous boundary under free-living conditions with accelerometry.","authors":"Pablo Rozier-Delgado, Hervé Di Domenico, Baptiste Morel","doi":"10.1080/02640414.2025.2568284","DOIUrl":null,"url":null,"abstract":"<p><p>Daily moderate-to-vigorous physical activity (MVPA) evaluations based on absolute cutoffs from accelerometer data are inappropriate for characterising physical capacities, given inter-individual variability. We developed a new method that evaluates an individual's MVPA boundary without difficult exhaustion tests by estimating the critical intensity in daily activities using accelerometers. Thirty-five participants with varying fitness levels wore a 3-axis accelerometer for 3-6 weeks. They performed a sub-maximal incremental walking test on a 15%-inclined treadmill, where the speed at 4 mmol·L<sup>-1</sup> (S<sub>4 mM</sub>) was computed. A two-parameter critical intensity model was fitted to Dynamic Body Acceleration (DBA) records using quantile regression. The critical DBA (DBA<sub>C</sub>) was computed from this model and compared with the traditional absolute cutoff for MVPA. DBA<sub>C</sub> was a strong predictor of S<sub>4 mM</sub> (r<sup>2</sup> = 0.788) and, compared with individual characterisation, the traditional MVPA analysis resulted in a mean absolute error of 10:37 min/day (118%) and 12:07 min/day (26%) for time spent in vigorous and moderate activity, respectively. In conclusion, the individual DBA<sub>C</sub> computed from daily life activities without controlled laboratory tests accurately represents the severe intensity domain boundary. This method enhances the current absolute cutoff MVPA classification, which fails to accurately represent the time spent in intensity domains with individual physiological meanings.</p>","PeriodicalId":17066,"journal":{"name":"Journal of Sports Sciences","volume":" ","pages":"1-14"},"PeriodicalIF":2.5000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sports Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/02640414.2025.2568284","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Daily moderate-to-vigorous physical activity (MVPA) evaluations based on absolute cutoffs from accelerometer data are inappropriate for characterising physical capacities, given inter-individual variability. We developed a new method that evaluates an individual's MVPA boundary without difficult exhaustion tests by estimating the critical intensity in daily activities using accelerometers. Thirty-five participants with varying fitness levels wore a 3-axis accelerometer for 3-6 weeks. They performed a sub-maximal incremental walking test on a 15%-inclined treadmill, where the speed at 4 mmol·L-1 (S4 mM) was computed. A two-parameter critical intensity model was fitted to Dynamic Body Acceleration (DBA) records using quantile regression. The critical DBA (DBAC) was computed from this model and compared with the traditional absolute cutoff for MVPA. DBAC was a strong predictor of S4 mM (r2 = 0.788) and, compared with individual characterisation, the traditional MVPA analysis resulted in a mean absolute error of 10:37 min/day (118%) and 12:07 min/day (26%) for time spent in vigorous and moderate activity, respectively. In conclusion, the individual DBAC computed from daily life activities without controlled laboratory tests accurately represents the severe intensity domain boundary. This method enhances the current absolute cutoff MVPA classification, which fails to accurately represent the time spent in intensity domains with individual physiological meanings.
期刊介绍:
The Journal of Sports Sciences has an international reputation for publishing articles of a high standard and is both Medline and Clarivate Analytics-listed. It publishes research on various aspects of the sports and exercise sciences, including anatomy, biochemistry, biomechanics, performance analysis, physiology, psychology, sports medicine and health, as well as coaching and talent identification, kinanthropometry and other interdisciplinary perspectives.
The emphasis of the Journal is on the human sciences, broadly defined and applied to sport and exercise. Besides experimental work in human responses to exercise, the subjects covered will include human responses to technologies such as the design of sports equipment and playing facilities, research in training, selection, performance prediction or modification, and stress reduction or manifestation. Manuscripts considered for publication include those dealing with original investigations of exercise, validation of technological innovations in sport or comprehensive reviews of topics relevant to the scientific study of sport.