Cited by 308Mobile Health and mHealth ApplicationsPhysical Activity and HealthContext-Aware Activity Recognition Systems

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Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial

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Wang, Julie B., Cadmus-Bertram, Lisa A., Natarajan, Loki, White, Martha M., Madanat, Hala, Nichols, Jeanne F., Ayala, Guadalupe X., Pierce, John P.·2015·Telemedicine and e-Health

DOI 10.1089/tmj.2014.0176PMC PMC4842945

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Abstract

BACKGROUND: Studies have shown self-monitoring can modify health behaviors, including physical activity (PA). This study tested the utility of a wearable sensor/device (Fitbit(®) One™; Fitbit Inc., San Francisco, CA) and short message service (SMS) text-messaging prompts to increase PA in overweight and obese adults. MATERIALS AND METHODS: Sixty-seven adults wore a Fitbit One tracker for 6 weeks; half were randomized to also receive three daily SMS-based PA prompts. The Fitbit One consisted of a wearable tracker for instant feedback on performance and a Web site/mobile application (app) for detailed summaries. Outcome measures were objectively measured steps and minutes of PA by intensity using two accelerometers: Actigraph™ (Pensacola, FL) GT3X+ (primary measure) at baseline and Week 6 and Fitbit One (secondary measure) at baseline and Weeks 1, 2, 3, 4, 5, and 6. RESULTS: Mixed-model repeated-measures analysis of primary measures indicated a significant within-group increase of +4.3 (standard error [SE]=2.0) min/week of moderate- to vigorous-intensity PA (MVPA) at 6-week follow-up (p=0.04) in the comparison group (Fitbit only), but no study group differences across PA levels. Secondary measures indicated the SMS text-messaging effect lasted for only 1 week: the intervention group increased by +1,266 steps (SE=491; p=0.01), +17.8 min/week MVPA (SE=8.5; p=0.04), and +38.3 min/week total PA (SE=15.9; p=0.02) compared with no changes in the comparison group, and these between-group differences were significant for steps (p=0.01), fairly/very active minutes (p<0.01), and total active minutes (p=0.02). CONCLUSIONS: These data suggest that the Fitbit One achieved a small increase in MVPA at follow-up and that the SMS-based PA prompts were insufficient in increasing PA beyond 1 week. Future studies can test this intervention in those requiring less help and/or test strategies to increase participants' engagement levels.

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The Physical Activity Guidelines for Americans
Piercy, K. L., Troiano, R. P., Ballard, R. M., Carlson, S. A., Fulton, J. E., Galuska, D. A., George, S. M., & Olson, R. D. (2018) · JAMA · doi:10.1001/jama.2018.14854 · Cited by 9,755
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526
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
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
A taxonomy of behavior change techniques used in interventions
Abraham, C., & Michie, S. (2008) · Health Psychology · doi:10.1037/0278-6133.27.3.379 · Cited by 2,525
Effective techniques in healthy eating and physical activity interventions: A meta-regression.
Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009) · Health Psychology · doi:10.1037/a0016136 · Cited by 2,229
Prevalence of obesity in the United States, 2009-2010.
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2012) · PubMed · Cited by 2,057
Revision of the Physical Activity Readiness Questionnaire (PAR-Q).
Thomas, S. G., Reading, J., & Shephard, R. J. (1992) · PubMed · Cited by 1,986
Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data
Cnaan, A., Laird, N. M., & Slasor, P. (1997) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19971030)16:20 · Cited by 1,227
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213 · cited 1×
“13 Researchers agree that text messaging has the potential to reach large audiences, including traditionally underserved populations, 14 and possibly serve as an inexpensive intervention modality.”

Show all 61 references

Research works printed but not linked: 5

Ogden CL, 2012, NCHS Data Brief, 1
Bramley D, 2005, N Z Med J, 118, U1494
Cheung PP, 2008, Glob J Heal Educ Promot, 11, 47
Scott T, 1992, Can J Sport Sci, 17, 338
Bandura A, 1997, Self-efficacy: The exercise of self-control

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Hoy, M. B. (2016) · Medical Reference Services Quarterly · doi:10.1080/02763869.2016.1117300 · Cited by 61
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
Escobar-Linero, E., Muñoz-Saavedra, L., Luna-Perejón, F., Sevillano, J. L., & Domínguez-Morales, M. (2023) · Sensors · doi:10.3390/s23031678 · Cited by 70
Correlates of physical activity and sedentary behavior in adults living with overweight and obesity: A systematic review
Curran, F., Davis, M. E., Murphy, K., Tersigni, N., King, A., Ngo, N., & O’Donoghue, G. (2023) · Obesity Reviews · doi:10.1111/obr.13615 · Cited by 80
Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial
Simons, D., De Bourdeaudhuij, I., Clarys, P., De Cocker, K., Vandelanotte, C., & Deforche, B. (2018) · JMIR mHealth and uHealth · doi:10.2196/10003 · Cited by 56
Feasibility and potential efficacy of commercial mHealth/eHealth tools for weight loss in African American breast cancer survivors: pilot randomized controlled trial
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
Using Novel Technology within a School-Based Setting to Increase Physical Activity: A Pilot Study in School-Age Children from a Low-Income, Urban Community
Evans, E. W., Abrantes, A. M., Chen, E., & Jelalian, E. (2017) · BioMed Research International · doi:10.1155/2017/4271483 · Cited by 54
Acceptability of the Fitbit in behavioural activation therapy for depression: a qualitative study
Chum, J., Kim, M. S., Zielinski, L., Bhatt, M., Chung, D. C., Yeung, S., Litke, K., McCabe, K., Whattam, J., Garrick, L., et al. (2017) · Evidence-Based Mental Health · doi:10.1136/eb-2017-102763 · Cited by 52
Exercise Is Medicine as a Vital Sign: Challenges and Opportunities
Bowen, P. G., Mankowski, R. T., Harper, S. A., & Buford, T. W. (2019) · Translational Journal of the American College of Sports Medicine · doi:10.1249/tjx.0000000000000076 · Cited by 54
Behavior Change Techniques Incorporated in Fitness Trackers: Content Analysis
Chia, G. L. C., Anderson, A., & McLean, L. A. (2019) · JMIR mHealth and uHealth · doi:10.2196/12768 · Cited by 50
A Web- and Mobile App–Based Mental Health Promotion Intervention Comparing Email, Short Message Service, and Videoconferencing Support for a Healthy Cohort: Randomized Comparative Study
Renfrew, M. E., Morton, D. P., Morton, J. K., Hinze, J. S., Beamish, P., Przybylko, G., & Craig, B. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15592 · Cited by 54
The Future of Mobile Health Applications and Devices in Cardiovascular Health
Kelli, H. M., Witbrodt, B. C., & Shah, A. J. (2017) · EMJ Innovation · doi:10.33590/emjinnov/10310778 · Cited by 46
Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies
Sporrel, K., Nibbeling, N., Wang, S., Ettema, D., & Simons, M. (2020) · JMIR mhealth and uhealth · doi:10.2196/16282 · Cited by 53
Impact of using wearable devices on psychological Distress: Analysis of the health information national Trends survey
Choudhury, A., & Asan, O. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104612 · Cited by 52
The role of technology in adherence to physical activity programs in patients with chronic diseases experiencing fatigue: A systematic review
Albergoni, A., Hettinga, F. J., La Torre, A., Bonato, M., & Sartor, F. (2019) · Sports Medicine - Open · doi:10.1186/s40798-019-0214-z · Cited by 39
Understanding Personalization for Health Behavior Change Applications: A Review and Future Directions
Kankanhalli, A., Xia, Q., & Zhao, X. (2021) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00152 · Cited by 45
Long-Term Effectiveness of a Smartphone App for Improving Healthy Lifestyles in General Population in Primary Care: Randomized Controlled Trial (Evident II Study)
García‐Ortiz, L., Recio-Rodriguez, J. I., Agudo‐Conde, C., Patino-Alonso, M. C., Maderuelo-Fernández, J. Á., Repiso-Gento, I., Puigdomènech, E., González-Viejo, N., Arietaleanizbeaskoa, M. S., Schmolling-Guinovart, Y., et al. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9218 · Cited by 41
An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study
Chung, I. Y., Jung, M., Lee, S. B., Lee, J. W., Park, Y. R., Cho, D., Chung, H., Youn, S., Min, Y. H., Park, H. J., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/13463 · Cited by 38
Smartphone-based arrhythmia monitoring
Garabelli, P. J., Stavrakis, S., & Po, S. S. (2016) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000350 · Cited by 41
Comparative Accuracy of a Wrist-Worn Activity Tracker and a Smart Shirt for Physical Activity Assessment
Montoye, A. H. K., Mitrzyk, J. R., & Molesky, M. J. (2017) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2017.1331166 · Cited by 37
Effect of commercial wearables and digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas: the RAW-PA cluster-randomised controlled trial
Ridgers, N. D., Timperio, A. F., Ball, K., Lai, S. K., Brown, H. L., Macfarlane, S., & Salmon, J. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01110-1 · Cited by 42
Interrogation of Patient Smartphone Activity Tracker to Assist Arrhythmia Management
Rudner, J., McDougall, C., Sailam, V., Smith, M., & Sacchetti, A. D. (2016) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2016.02.039 · Cited by 38
Integrated healthcare monitoring device for obese adults using internet of things (IoT)
Gupta, D., Parikh, A., & Swarnalatha, R. (2020) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v10i2.pp1239-1247 · Cited by 37
Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review
Kulkarni, P., Kirkham, R., & McNaney, R. (2022) · Sensors · doi:10.3390/s22103893 · Cited by 40
Efficacy and acceptability of using wearable activity trackers in older adults living in retirement communities: a mixed method study
Zhang, Z., Giordani, B., Margulis, A., & Chen, W. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02931-w · Cited by 38
Use of a Wearable Activity Device in Rural Older Obese Adults
Batsis, J. A., Naslund, J. A., Gill, L. E., Masutani, R. K., Agarwal, N., & Bartels, S. J. (2016) · Gerontology and Geriatric Medicine · doi:10.1177/2333721416678076 · Cited by 39
Wearable Long-Term Social Sensing for Mental Wellbeing
Jiang, L., Gao, B., Gu, J. J., Chen, Y., Gao, Z., Ma, X., Kendrick, K. M., & Woo, W. L. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2877427 · Cited by 35
Digital Health Solutions for Weight Loss and Obesity: A Narrative Review
Irvin, L., Madden, L. A., Marshall, P., & Vince, R. V. (2023) · Nutrients · doi:10.3390/nu15081858 · Cited by 34
“’s [82] study of 67 participants consisted of a group with a Fitbit One tracker + text message PA prompts vs.”
Background
Wearable Activity Technology And Action-Planning (WATAAP) to promote physical activity in cancer survivors: Randomised controlled trial protocol
Maxwell‐Smith, C., Cohen, P. A., Platell, C. F. E., Tan, P., Levitt, M., Salama, P. R., Makin, G. B., Tan, J., Salfinger, S. G., Mohan, G. R., et al. (2018) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2018.03.003 · Cited by 34
The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis
Grady, A., Pearson, N., Lamont, H., Leigh, L., Wolfenden, L., Barnes, C., Wyse, R., Finch, M., McLaughlin, M. J., Delaney, T. M., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/47987 · Cited by 38
Wearable Sensors in Ambulatory Individuals With a Spinal Cord Injury: From Energy Expenditure Estimation to Activity Recommendations
Popp, W., Schneider, S., Bär, J., Bösch, P., Spengler, C. M., Gassert, R., & Curt, A. E. P. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.01092 · Cited by 35
A Personalized Physical Activity Program With Activity Trackers and a Mobile Phone App for Patients With Metastatic Breast Cancer: Protocol for a Single-Arm Feasibility Trial
Delrieu, L., Pérol, O., Fervers, B., Friedenreich, C. M., Vallance, J. K., Febvey‐Combes, O., Pérol, D., Canada, B., Roitmann, E., Dufresne, A., et al. (2018) · JMIR Research Protocols · doi:10.2196/10487 · Cited by 31
Successful adherence and retention to daily monitoring of physical activity: Lessons learned
Xu, X., Tupy, S., Robertson, S., Miller, A. L., Correll, D., Tivis, R. D., & Nigg, C. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0199838 · Cited by 31
Development of the Physical activity and Your Nutrition for Cancer (PYNC) smartphone app for preventing breast cancer in women
Coughlin, S. S., Besenyi, G. M., Bowen, D. J., & Leo, G. D. (2017) · mHealth · doi:10.21037/mhealth.2017.02.02 · Cited by 30
Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data
Vhaduri, S., & Poellabauer, C. (2018) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2018.00019 · Cited by 30

Authors: Wang, J. B., Cadmus-Bertram, L. A., Natarajan, L., White, M. M., Madanat, H., Nichols, J. F., Ayala, G. X., & Pierce, J. P.
Affiliations: University of California, San Francisco (US)
Moores Cancer Center, University of California, San Diego, La Jolla, California.
University of California San Diego (US)
San Diego State University (US)
Corresponding author: Wang, Julie B.
ORCID: Wang, Julie B.
Natarajan, Loki
White, Martha M.
Madanat, Hala
Nichols, Jeanne F.
Ayala, Guadalupe X.
Pierce, John P.
Venue: Telemedicine and e-Health
Publisher: SAGE Publications
Published: 2015-10
Volume: 21
Issue: 10
Pages: 782-792
ISSN: 1530-5627 (ISSN-L)
1556-3669
DOI: 10.1089/tmj.2014.0176
PMC: PMC4842945
OpenAlex: W2101502430
Cited by: 308
References: 61
Citations by year: 2026: 7 · 2025: 7 · 2024: 17 · 2023: 21 · 2022: 31 · 2021: 53 · 2020: 31 · 2019: 43 · 2018: 38 · 2017: 36 · 2016: 22 · 2015: 2
FWCI: 59.73
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
Locations: Telemedicine Journal and e-Health (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
eScholarship (California Digital Library) (submittedVersion)
Funders: University of California, San Diego
National Cancer Institute (CA113710, K07CA178870, P30CA023100, T32CA113710)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords: wearable activity trackers, physical activity promotion, overweight adults, adult obesity, self-monitoring, moderate-to-vigorous physical activity, step count, accelerometer-measured activity, mobile health intervention
MeSH terms: Adolescent, Adult, Aged, Exercise Therapy, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Obesity, Exercise, Text Messaging, Accelerometry

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Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial

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