Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns
Sedentary behavior (SB) has detrimental consequences and cannot be compensated for through moderate-to-vigorous physical activity (PA). In order to understand and mitigate SB, tools for measuring and monitoring SB are essential. While current direct-to-customer wearables focus on PA, the VitaBit val...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/3/877 |
| _version_ | 1811300407106863104 |
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| author | Nathalie M. Berninger Gill A. ten Hoor Guy Plasqui |
| author_facet | Nathalie M. Berninger Gill A. ten Hoor Guy Plasqui |
| author_sort | Nathalie M. Berninger |
| collection | DOAJ |
| description | Sedentary behavior (SB) has detrimental consequences and cannot be compensated for through moderate-to-vigorous physical activity (PA). In order to understand and mitigate SB, tools for measuring and monitoring SB are essential. While current direct-to-customer wearables focus on PA, the VitaBit validated in this study was developed to focus on SB. It was tested in a laboratory and in a free-living condition, comparing it to direct observation and to a current best-practice device, the ActiGraph, on a minute-by-minute basis. In the laboratory, the VitaBit yielded specificity and negative predictive rates (NPR) of above 91.2% for sitting and standing, while sensitivity and precision ranged from 74.6% to 85.7%. For walking, all performance values exceeded 97.3%. In the free-living condition, the device revealed performance of over 72.6% for sitting with the ActiGraph as criterion. While sensitivity and precision for standing and walking ranged from 48.2% to 68.7%, specificity and NPR exceeded 83.9%. According to the laboratory findings, high performance for sitting, standing, and walking makes the VitaBit eligible for SB monitoring. As the results are not transferrable to daily life activities, a direct observation study in a free-living setting is recommended. |
| first_indexed | 2024-04-13T06:50:45Z |
| format | Article |
| id | doaj.art-d5bbf1a929754a30a6a74341ba18d296 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:50:45Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d5bbf1a929754a30a6a74341ba18d2962022-12-22T02:57:25ZengMDPI AGSensors1424-82202018-03-0118387710.3390/s18030877s18030877Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity PatternsNathalie M. Berninger0Gill A. ten Hoor1Guy Plasqui2Department of Work and Social Psychology, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The NetherlandsDepartment of Work and Social Psychology, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The NetherlandsDepartment of Human Biology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The NetherlandsSedentary behavior (SB) has detrimental consequences and cannot be compensated for through moderate-to-vigorous physical activity (PA). In order to understand and mitigate SB, tools for measuring and monitoring SB are essential. While current direct-to-customer wearables focus on PA, the VitaBit validated in this study was developed to focus on SB. It was tested in a laboratory and in a free-living condition, comparing it to direct observation and to a current best-practice device, the ActiGraph, on a minute-by-minute basis. In the laboratory, the VitaBit yielded specificity and negative predictive rates (NPR) of above 91.2% for sitting and standing, while sensitivity and precision ranged from 74.6% to 85.7%. For walking, all performance values exceeded 97.3%. In the free-living condition, the device revealed performance of over 72.6% for sitting with the ActiGraph as criterion. While sensitivity and precision for standing and walking ranged from 48.2% to 68.7%, specificity and NPR exceeded 83.9%. According to the laboratory findings, high performance for sitting, standing, and walking makes the VitaBit eligible for SB monitoring. As the results are not transferrable to daily life activities, a direct observation study in a free-living setting is recommended.http://www.mdpi.com/1424-8220/18/3/877sedentary behaviorVitaBitaccelerometervalidationsensitivityspecificitypositive predictive ratenegative predictive rate |
| spellingShingle | Nathalie M. Berninger Gill A. ten Hoor Guy Plasqui Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns Sensors sedentary behavior VitaBit accelerometer validation sensitivity specificity positive predictive rate negative predictive rate |
| title | Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns |
| title_full | Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns |
| title_fullStr | Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns |
| title_full_unstemmed | Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns |
| title_short | Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns |
| title_sort | validation of the vitabit sit stand tracker detecting sitting standing and activity patterns |
| topic | sedentary behavior VitaBit accelerometer validation sensitivity specificity positive predictive rate negative predictive rate |
| url | http://www.mdpi.com/1424-8220/18/3/877 |
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