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Effectiveness of activity trackers with and without incentives to increase physical activity (TRIPPA): a randomised controlled trial
Abstract
Background Despite the increasing popularity of activity trackers, little evidence exists that they can improve health outcomes. We aimed to investigate whether use of activity trackers, alone or in combination with cash incentives or charitable donations, lead to increases in physical activity and improvements in health outcomes.Methods In this randomised controlled trial, employees from 13 organisations in Singapore were randomly assigned (1:1:1:1) with a computer generated assignment schedule to control (no tracker or incentives), Fitbit Zip activity tracker, tracker plus charity incentives, or tracker plus cash incentives. Participants had to be English speaking, full-time employees, aged 21-65 years, able to walk at least ten steps continuously, and non-pregnant. Incentives were tied to weekly steps, and the primary outcome, moderate-to-vigorous physical activity (MVPA) bout min per week, was measured via a sealed accelerometer and assessed on an intention-to-treat basis at 6 months (end of intervention) and 12 months (after a 6 month post-intervention follow-up period). Other outcome measures included steps, participants meeting 70 000 steps per week target, and health-related outcomes including weight, blood pressure, and quality-of-life measures. This trial is registered at ClinicalTrials.gov, number NCT01855776.Findings Between June 13, 2013, and Aug 15, 2014, 800 participants were recruited and randomly assigned to the control (n=201), Fitbit (n=203), charity (n=199), and cash (n=197) groups. At 6 months, compared with control, the cash group logged an additional 29 MVPA bout min per week (95% CI 10-47; p=0·0024) and the charity group an additional 21 MVPA bout min per week (2-39; p=0·0310); the difference between Fitbit only and control was not significant (16 MVPA bout min per week [-2 to 35; p=0·0854]). Increases in MVPA bout min per week in the cash and charity groups were not significantly greater than that of the Fitbit group. At 12 months, the Fitbit group logged an additional 37 MVPA bout min per week (19-56; p=0·0001) and the charity group an additional 32 MVPA bout min per week (12-51; p=0·0013) compared with control; the difference between cash and control was not significant (15 MVPA bout min per week [-5 to 34; p=0·1363]). A decrease in physical activity of -23 MVPA bout min per week (95% CI -42 to -4; p=0·0184) was seen when comparing the cash group with the Fitbit group. There were no improvements in any health outcomes (weight, blood pressure, etc) at either assessment.Interpretation The cash incentive was most effective at increasing MVPA bout min per week at 6 months, but this effect was not sustained 6 months after the incentives were discontinued. At 12 months, the activity tracker with or without charity incentives were effective at stemming the reduction in MVPA bout min per week seen in the control group, but we identified no evidence of improvements in health outcomes, either with or without incentives, calling into question the value of these devices for health promotion. Although other incentive strategies might generate greater increases in step activity and improvements in health outcomes, incentives would probably need to be in place long term to avoid any potential decrease in physical activity resulting from discontinuation.Funding Ministry of Health, Singapore.
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“Moreover, 17 studies reported activity tracker adherence data [21,22,30,32,34,35, 37,38,40,41,43-45,50-52,54], with 13 of these studies [21,22,30,34,35,40,41,43,44,50-52,54] reporting activity tracker wear on at least 50% of the study intervention days.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
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In the citing paper
“In addition, 4 studies included either an unstructured follow-up phase [34,42] or additional intervention phase utilizing a nonblinded activity tracker for all participants [41,50].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
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“A total of 26 studies were included across all meta-analyses [21,22,29-48,50-53].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
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“Thirteen studies included young adults (≤39.9 years) [30-34,37,38,42,44,46-48,50], 15 included middle-aged adults (40-64.9 years) [21,22,29,35,36,39-41, 43,45,51-54], and 1 study included adults aged over 65 years [49].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
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“Overall, 8 studies included more than 1 intervention group [34,43,45-47,52-54].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
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“Two of the included studies [34,44] reported a significant increase in daily steps, 4 studies [30,34,36,53] reported a significant increase in MVPA, and 2 studies [45,47] reported a significant increase in energy expenditure for the intervention group compared with control.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [34]
In the citing paper
“PA interventions did not show long-term behavioural changes or did not improve clinical outcomes”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [44]
In the citing paper
“Moreover, despite the improvement in MVPA at 12 months with activity tracking, with or without incentives, these findings did not translate into an improvement in health outcomes, such as weight and BP reduction, at 12 months.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [44]
In the citing paper
“The trial showed that a cash incentive was most effective at increasing MVPA at 6 months, but this effect was not sustained 6 months after the removal of incentives.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [44]
In the citing paper
“Therefore, the use of behavioural economics and cognitive psychology to develop novel social and financial incentives can potentially sustain good habits, especially when initiated at a very young age44.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [44]
In the citing paper
“As mentioned previously, a trial with 800 participants questioned the value of wearables in sustaining long-term behavioural changes and improving clinical outcomes44.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [44]
In the citing paper
“Sedentary behavior was measured objectively, except in two studies [82,104] that utilized a self-reported questionnaire to obtain daily sitting time or sedentary behavior.”
From Fitbit-based interventions for healthy lifestyle outcomes: systematic review and meta-analysis (2020) · cites this paper as [82]
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Citations
Cites
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
(1980) · Medical Entomology and Zoology · Cited by 25,810
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
EuroQol: a new facility for the measurement of health-related quality of life
(1990) · Health Policy · doi:10.1016/0168-8510(90)90421-9 · Cited by 15,736
Lee, I.-M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., & Katzmarzyk, P. T. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61031-9 · Cited by 8,215
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review
Bravata, D. M., Smith-Spangler, C., Sundaram, V., Gienger, A. L., Lin, N., Lewis, R., Stave, C. D., Olkin, I., & Sirard, J. R. (2007) · JAMA · doi:10.1001/jama.298.19.2296 · Cited by 2,064
Revision of the Physical Activity Readiness Questionnaire (PAR-Q).
Thomas, S. G., Reading, J., & Shephard, R. J. (1992) · PubMed · Cited by 1,952
Validation and comparison of ActiGraph activity monitors
Sasaki, J. E., John, D., & Freedson, P. S. (2011) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2011.04.003 · Cited by 1,317
Cited by
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Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., Martin, S. S., Muse, E. D., Turakhia, M. P., Tarakji, K. G., et al. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00522-7 · Cited by 829
Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019) · JMIR mHealth and uHealth · doi:10.2196/11819 · Cited by 689
Henriksen, A., Haugen Mikalsen, M., Woldaregay, A. Z., Muzny, M., Hartvigsen, G., Hopstock, L. A., & Grimsgaard, S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9157 · Cited by 542
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Hagger, M. S., Cameron, L. D., Hamilton, K., Hankonen, N. E., & Lintunen, T. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318 · Cited by 446
Laranjo, L., Ding, D., Heleno, B., Kocaballi, B., Quiroz, J. C., Tong, H. L., Chahwan, B., Neves, A. L., Gabarron, E., Dao, K. P., et al. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102892 · Cited by 400
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Ajzen, I., & Schmidt, P. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.002 · Cited by 346
Chandrasekaran, R., Katthula, V., & Moustakas, E. (2020) · Journal of Medical Internet Research · doi:10.2196/22443 · Cited by 291
Noah, B., Keller, M. S., Mosadeghi, S., Stein, L., Johl, S., Delshad, S., Tashjian, V. C., Lew, D., Kwan, J. T., Jusufagic, A., et al. (2018) · npj Digital Medicine · doi:10.1038/s41746-017-0002-4 · Cited by 273
Mazeas, A., Duclos, M., Pereira, B., & Chalabaev, A. (2022) · Journal of Medical Internet Research · doi:10.2196/26779 · Cited by 222
Fitbit-based interventions for healthy lifestyle outcomes: systematic review and meta-analysis
Ringeval, M., Wagner, G., Denford, J., Paré, G., & Kitsiou, S. (2020) · Journal of Medical Internet Research · doi:10.2196/23954 · Cited by 225
“A total of 3779 participants were included, with a mean of 102 participants per study (median 68) and range from 16 [98] to 800 participants [82] per study.”
BackgroundMethodInfluentialPatel, M. S., Benjamin, E. J., Volpp, K. G., Fox, C. S., Small, D. S., Massaro, J. M., Lee, J. J., Hilbert, V., Valentino, M., Taylor, D. H., et al. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.3458 · Cited by 218
Cho, C.-H., Lee, T., Kim, M.-G., In, H. P., Kim, L., & Lee, H.-J. (2019) · Journal of Medical Internet Research · doi:10.2196/11029 · Cited by 183
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Buckingham, S. A., Williams, A. J., Morrissey, K., Price, L., & Harrison, J. (2019) · Digital Health · doi:10.1177/2055207619839883 · Cited by 202
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Shin, G. D., Feng, Y., Jarrahi, M. H., & Gafinowitz, N. (2018) · JAMIA Open · doi:10.1093/jamiaopen/ooy048 · Cited by 159
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Farivar, S., Abouzahra, M., & Ghasemaghaei, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102209 · Cited by 161
Jo, A., Coronel, B. D., Coakes, C. E., & Mainous, A. G. (2019) · The American Journal of Medicine · doi:10.1016/j.amjmed.2019.06.018 · Cited by 135
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McCallum, C., Rooksby, J., & Gray, C. M. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9054 · Cited by 126
Chokshi, N. P., Adusumalli, S., Small, D. S., Morris, A. J., Feingold, J. H., Ha, Y. P., Lynch, M. D., Rareshide, C. A. L., Hilbert, V., & Patel, M. S. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009173 · Cited by 130
Hannan, A. L., Harders, M. P., Hing, W., Climstein, M., Coombes, J. S., & Furness, J. (2019) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-019-0126-8 · Cited by 119
Adams, M. A., Hurley, J. C., Todd, M., Bhuiyan, N., Jarrett, C. L., Tucker, W. J., Hollingshead, K. E., & Angadi, S. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4197-8 · Cited by 110
Brakenridge, C. L., Fjeldsoe, B. S., Young, D. C., Winkler, E. A. H., Dunstan, D. W., Straker, L. M., & Healy, G. N. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0441-3 · Cited by 109
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Schwarzer, R., & Hamilton, K. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108677318.007 · Cited by 114
Hoeyer, K. (2023) · The MIT Press eBooks · doi:10.7551/mitpress/14926.001.0001 · Cited by 113
Oliveira, J. S., Sherrington, C., Zheng, E. R. Y., Franco, M. R., & Tiedemann, A. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2018-100324 · Cited by 98
Spring, B. J., Pellegrini, C. A., Pfammatter, A. F., Duncan, J. M., Pictor, A., McFadden, H. G., Siddique, J., & Hedeker, D. (2017) · Obesity · doi:10.1002/oby.21842 · Cited by 101
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Hull, G., & Pasquale, F. (2017) · BioSocieties · doi:10.1057/s41292-017-0064-1 · Cited by 97
Effectiveness of physical activity monitors in adults: systematic review and meta-analysis
Larsen, R. T., Wagner, V., Korfitsen, C. B., Keller, C., Juhl, C. B., Langberg, H., & Christensen, J. (2022) · BMJ · doi:10.1136/bmj-2021-068047 · Cited by 98
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Dijkhuis, T. B., Blaauw, F. J., van Ittersum, M. W., Velthuijsen, H., & Aiello, M. (2018) · Sensors · doi:10.3390/s18020623 · Cited by 92
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Lynch, E. A., Jones, T., Simpson, D. B., Fini, N. A., Kuys, S. S., Borschmann, K., Kramer, S. F., Johnson, L. G., Callisaya, M. L., Mahendran, N., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012543.pub2 · Cited by 95
Kramer, J.-N., Künzler, F., Mishra, V., Smith, S. N., Kotz, D., Scholz, U., Fleisch, E., & Kowatsch, T. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa002 · Cited by 84
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Painter, S. L., Ahmed, R., Hill, J. O., Kushner, R. F., Lindquist, R., Brunning, S., & Margulies, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7457 · Cited by 88
Duckworth, A. L., & Gross, J. J. (2020) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2020.09.002 · Cited by 113
Tong, H. L., & Laranjo, L. (2018) · npj Digital Medicine · doi:10.1038/s41746-018-0051-3 · Cited by 87
Mizuno, A., Changolkar, S., & Patel, M. S. (2020) · Annual Review of Medicine · doi:10.1146/annurev-med-050919-031534 · Cited by 82
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Phillips, S. M., Conroy, D. E., Keadle, S. K., Pellegrini, C. A., Lloyd, G. R., Penedo, F. J., & Spring, B. J. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3735-3 · Cited by 80
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Nuss, K. J., Moore, K., Nelson, T., & Li, K. (2020) · American Journal of Health Promotion · doi:10.1177/0890117120939030 · Cited by 82
St Fleur, R. G., St George, S. M., Leite, R., Kobayashi, M., Agosto, Y., & Jake-Schoffman, D. E. (2021) · JMIR mHealth and uHealth · doi:10.2196/23411 · Cited by 74
Kramer, J.-N., Künzler, F., Mishra, V., Presset, B., Kotz, D., Smith, S., Scholz, U., & Kowatsch, T. (2019) · JMIR Research Protocols · doi:10.2196/11540 · Cited by 74
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Strath, S. J., & Rowley, T. W. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2017.272369 · Cited by 74
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Lim, W. K., Davila, S., Teo, J. X., Yang, C., Pua, C. J., Blöcker, C., Lim, J. Q., Ching, J., Yap, J. J. L., Tan, S. Y., et al. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004285 · Cited by 70
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Ridgers, N. D., Timperio, A. F., Brown, H. L., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Ngan, W. W., & Salmon, J. (2017) · BMC Public Health · doi:10.1186/s12889-016-3945-5 · Cited by 57
Yao, J., Tan, C. S., Chen, C., Tan, J., Lim, N., & Müller‐Riemenschneider, F. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-101662 · Cited by 56
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Ferrante, J. M., Devine, K. A., Bator, A., Rodgers, A., Ohman‐Strickland, P., Bandera, E. V., & Hwang, K. O. (2018) · Translational Behavioral Medicine · doi:10.1093/tbm/iby124 · Cited by 54
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Metadata
- Authors
- Finkelstein, E. A., Haaland, B. A., Bilger, M., Sahasranaman, A., Sloan, R. A., Nang, E. E. K., & Evenson, K. R.
- Affiliations
- National University of Singapore (SG)
- Georgia Institute of Technology (US)
- Duke-NUS Medical School (SG)
- Kagoshima University (JP)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Finkelstein, Eric A
- Venue
- The Lancet Diabetes & Endocrinology
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 4
- Issue
- 12
- Pages
- 983-995
- ISSN
- 2213-8587 (ISSN-L)
- OpenAlex
- W2528113844
- Cited by
- 402
- References
- 27
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 23 · 2023: 24 · 2022: 33 · 2021: 62 · 2020: 102 · 2019: 53 · 2018: 43 · 2017: 30 · 2016: 4
- FWCI
- 34.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet Diabetes & Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- WU Research (publishedVersion)
- Funders
- Health Services Research Competitive Research Grant (HSRG/0022/2012)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- wearable activity trackers, Fitbit, physical activity, cash incentives, moderate-to-vigorous physical activity, step count, workplace health promotion, employee health, blood pressure, body weight, quality of life, accelerometer-measured activity, gamification
- MeSH terms
- Adult, Charities, Female, Habits, Humans, Male, Motivation, Exercise, Occupational Health, Accelerometry
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