Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance
Abstract the benefits of physical activity (PA) and sleep for health, accurate and objective population-based surveillance is important. Monitor-based surveillance has potential, but the main challenge is the need for replicable outcomes from different monitors. This study investigated the agreement...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-09469-2 |
| _version_ | 1811272270028472320 |
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| author | Jairo H. Migueles Pablo Molina-Garcia Lucia V. Torres-Lopez Cristina Cadenas-Sanchez Alex V. Rowlands Ulrich W. Ebner-Priemer Elena D. Koch Andreas Reif Francisco B. Ortega |
| author_facet | Jairo H. Migueles Pablo Molina-Garcia Lucia V. Torres-Lopez Cristina Cadenas-Sanchez Alex V. Rowlands Ulrich W. Ebner-Priemer Elena D. Koch Andreas Reif Francisco B. Ortega |
| author_sort | Jairo H. Migueles |
| collection | DOAJ |
| description | Abstract the benefits of physical activity (PA) and sleep for health, accurate and objective population-based surveillance is important. Monitor-based surveillance has potential, but the main challenge is the need for replicable outcomes from different monitors. This study investigated the agreement of movement behavior outcomes assessed with four research-grade activity monitors (i.e., Movisens Move4, ActiGraph GT3X+, GENEActiv, and Axivity AX3) in adults. Twenty-three participants wore four monitors on the non-dominant wrist simultaneously for seven days. Open-source software (GGIR) was used to estimate the daily time in sedentary, light, moderate-to-vigorous PA (MVPA), and sleep (movement behaviors). The prevalence of participants meeting the PA and sleep recommendations were calculated from each monitor’s data. Outcomes were deemed equivalent between monitors if the absolute standardized difference and its 95% confidence intervals (CI95%) fell within ± 0.2 standard deviations (SD) of the mean of the differences. The participants were mostly men (n = 14, 61%) and aged 36 (SD = 14) years. Pairwise confusion matrices showed that 83–87% of the daily time was equally classified into the movement categories by the different pairs of monitors. The between-monitor difference in MVPA ranged from 1 (CI95%: − 6, 7) to 8 (CI95%: 1, 15) min/day. Most of the PA and sleep metrics could be considered equivalent. The prevalence of participants meeting the PA and the sleep guidelines was 100% consistent across monitors (22 and 5 participants out of the 23, respectively). Our findings indicate that the various research-grade activity monitors investigated show high inter-instrument reliability with respect to sedentary, PA and sleep-related estimates when their raw data are processed in an identical manner. These findings may have important implications for advancement towards monitor-based PA and sleep surveillance systems. |
| first_indexed | 2024-04-12T22:37:21Z |
| format | Article |
| id | doaj.art-75dd998af5a340498a7edf5534e86732 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T22:37:21Z |
| publishDate | 2022-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-75dd998af5a340498a7edf5534e867322022-12-22T03:13:49ZengNature PortfolioScientific Reports2045-23222022-04-011211910.1038/s41598-022-09469-2Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillanceJairo H. Migueles0Pablo Molina-Garcia1Lucia V. Torres-Lopez2Cristina Cadenas-Sanchez3Alex V. Rowlands4Ulrich W. Ebner-Priemer5Elena D. Koch6Andreas Reif7Francisco B. Ortega8PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of GranadaPROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of GranadaPROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of GranadaPROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of GranadaDiabetes Research Centre, Leicester General Hospital, University of LeicesterDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg UniversityMental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT)Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe UniversityPROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of GranadaAbstract the benefits of physical activity (PA) and sleep for health, accurate and objective population-based surveillance is important. Monitor-based surveillance has potential, but the main challenge is the need for replicable outcomes from different monitors. This study investigated the agreement of movement behavior outcomes assessed with four research-grade activity monitors (i.e., Movisens Move4, ActiGraph GT3X+, GENEActiv, and Axivity AX3) in adults. Twenty-three participants wore four monitors on the non-dominant wrist simultaneously for seven days. Open-source software (GGIR) was used to estimate the daily time in sedentary, light, moderate-to-vigorous PA (MVPA), and sleep (movement behaviors). The prevalence of participants meeting the PA and sleep recommendations were calculated from each monitor’s data. Outcomes were deemed equivalent between monitors if the absolute standardized difference and its 95% confidence intervals (CI95%) fell within ± 0.2 standard deviations (SD) of the mean of the differences. The participants were mostly men (n = 14, 61%) and aged 36 (SD = 14) years. Pairwise confusion matrices showed that 83–87% of the daily time was equally classified into the movement categories by the different pairs of monitors. The between-monitor difference in MVPA ranged from 1 (CI95%: − 6, 7) to 8 (CI95%: 1, 15) min/day. Most of the PA and sleep metrics could be considered equivalent. The prevalence of participants meeting the PA and the sleep guidelines was 100% consistent across monitors (22 and 5 participants out of the 23, respectively). Our findings indicate that the various research-grade activity monitors investigated show high inter-instrument reliability with respect to sedentary, PA and sleep-related estimates when their raw data are processed in an identical manner. These findings may have important implications for advancement towards monitor-based PA and sleep surveillance systems.https://doi.org/10.1038/s41598-022-09469-2 |
| spellingShingle | Jairo H. Migueles Pablo Molina-Garcia Lucia V. Torres-Lopez Cristina Cadenas-Sanchez Alex V. Rowlands Ulrich W. Ebner-Priemer Elena D. Koch Andreas Reif Francisco B. Ortega Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance Scientific Reports |
| title | Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance |
| title_full | Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance |
| title_fullStr | Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance |
| title_full_unstemmed | Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance |
| title_short | Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance |
| title_sort | equivalency of four research grade movement sensors to assess movement behaviors and its implications for population surveillance |
| url | https://doi.org/10.1038/s41598-022-09469-2 |
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