Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors
The aim of this study was to perform a content analysis of electronic activity monitors that also evaluates utility features, code behavior change techniques included in the monitoring systems, and align the results with intervention functions of the Behaviour Change Wheel program planning model to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/8/4/75 |
| _version_ | 1797545628416344064 |
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| author | Zakkoyya H. Lewis Maddison Cannon Grace Rubio Maria C. Swartz Elizabeth J. Lyons |
| author_facet | Zakkoyya H. Lewis Maddison Cannon Grace Rubio Maria C. Swartz Elizabeth J. Lyons |
| author_sort | Zakkoyya H. Lewis |
| collection | DOAJ |
| description | The aim of this study was to perform a content analysis of electronic activity monitors that also evaluates utility features, code behavior change techniques included in the monitoring systems, and align the results with intervention functions of the Behaviour Change Wheel program planning model to facilitate informed device selection. Devices were coded for the implemented behavior change techniques and device features. Three trained coders each wore a monitor for at least 1 week from December 2019–April 2020. Apple Watch Nike, Fitbit Versa 2, Fitbit Charge 3, Fitbit Ionic—Adidas Edition, Garmin Vivomove HR, Garmin Vivosmart 4, Amazfit Bip, Galaxy Watch Active, and Withings Steel HR were reviewed. The monitors all paired with a phone/tablet, tracked exercise sessions, and were wrist-worn. On average, the monitors implemented 27 behavior change techniques each. Fitbit devices implemented the most behavior change techniques, including techniques related to the intervention functions: education, enablement, environmental restructuring, coercion, incentivization, modeling, and persuasion. Garmin devices implemented the second highest number of behavior change techniques, including techniques related to enablement, environmental restructuring, and training. Researchers can use these results to guide selection of electronic activity monitors based on their research needs. |
| first_indexed | 2024-03-10T14:18:01Z |
| format | Article |
| id | doaj.art-ee78b46a660a4ffc940c22b3f20bc483 |
| institution | Directory Open Access Journal |
| issn | 2227-7080 |
| language | English |
| last_indexed | 2024-03-10T14:18:01Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj.art-ee78b46a660a4ffc940c22b3f20bc4832023-11-20T23:37:34ZengMDPI AGTechnologies2227-70802020-12-01847510.3390/technologies8040075Analysis of the Behavioral Change and Utility Features of Electronic Activity MonitorsZakkoyya H. Lewis0Maddison Cannon1Grace Rubio2Maria C. Swartz3Elizabeth J. Lyons4Department of Kinesiology and Health Promotion, College of Science, California State Polytechnic University Pomona, 3801 West Temple Ave., Pomona, CA 91768, USADepartment of Kinesiology and Health Promotion, College of Science, California State Polytechnic University Pomona, 3801 West Temple Ave., Pomona, CA 91768, USADepartment of Kinesiology and Health Promotion, College of Science, California State Polytechnic University Pomona, 3801 West Temple Ave., Pomona, CA 91768, USADepartment of Pediatrics, Division of Pediatrics, MD Anderson Cancer Center, 7777 Knight Rd., Houston, TX 77054, USADepartment of Nutrition and Metabolism, School of Health Professions, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555, USAThe aim of this study was to perform a content analysis of electronic activity monitors that also evaluates utility features, code behavior change techniques included in the monitoring systems, and align the results with intervention functions of the Behaviour Change Wheel program planning model to facilitate informed device selection. Devices were coded for the implemented behavior change techniques and device features. Three trained coders each wore a monitor for at least 1 week from December 2019–April 2020. Apple Watch Nike, Fitbit Versa 2, Fitbit Charge 3, Fitbit Ionic—Adidas Edition, Garmin Vivomove HR, Garmin Vivosmart 4, Amazfit Bip, Galaxy Watch Active, and Withings Steel HR were reviewed. The monitors all paired with a phone/tablet, tracked exercise sessions, and were wrist-worn. On average, the monitors implemented 27 behavior change techniques each. Fitbit devices implemented the most behavior change techniques, including techniques related to the intervention functions: education, enablement, environmental restructuring, coercion, incentivization, modeling, and persuasion. Garmin devices implemented the second highest number of behavior change techniques, including techniques related to enablement, environmental restructuring, and training. Researchers can use these results to guide selection of electronic activity monitors based on their research needs.https://www.mdpi.com/2227-7080/8/4/75activity trackerwearablephysical activitybehavior change technique |
| spellingShingle | Zakkoyya H. Lewis Maddison Cannon Grace Rubio Maria C. Swartz Elizabeth J. Lyons Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors Technologies activity tracker wearable physical activity behavior change technique |
| title | Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors |
| title_full | Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors |
| title_fullStr | Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors |
| title_full_unstemmed | Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors |
| title_short | Analysis of the Behavioral Change and Utility Features of Electronic Activity Monitors |
| title_sort | analysis of the behavioral change and utility features of electronic activity monitors |
| topic | activity tracker wearable physical activity behavior change technique |
| url | https://www.mdpi.com/2227-7080/8/4/75 |
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