References
- Ainsworth, B. E., & Macera, C. A. (2018). Promoting physical activity in a public health context. Journal of Sport and Health Science, 7(1), 1–2. DOI: 10.1016/j.jshs.2017.10.004
- ATLAS.ti Scientific Software Development GmbH. (2019).
ATLAS.ti Version 8 [Statistical software] . Berlin, Germany: Author. - Brannon, E. E., Cushing, C. C., Crick, C. J., & Mitchell, T. B. (2016). The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study. Translational Behavioral Medicine, 6(4), 558–565. DOI: 10.1007/s13142-016-0442-4
- Cooper, A. R., Goodman, A., Page, A. S., Sherar, L. B., Esliger, D. W., van Sluijs, E. M., & Andersen, L. B., et al. (2015). Objectively measured physical activity and sedentary time in youth: the International Children’s Accelerometry Database (ICAD). International Journal of Behavioral Nutrition and Physical Activity, 12(113), 1–10. DOI: 10.1186/s12966-015-0274-5
- Corder, K., Winpenny, E., Love, R., Brown, H. E., White, M., & van Sluijs, E. (2019). Change in physical activity from adolescence to early adulthood: a systematic review and meta-analysis of longitudinal cohort studies. British Journal of Sports Medicine, 53(8), 496–503. DOI: 10.1136/bjsports-2016-097330
- Coughlin, S. S., & Stewart, J. (2016). Use of consumer wearable devices to promote physical activity: a review of health intervention studies. Journal of Environment and Health Sciences, 2(6).
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5395205/ - Dumith, S. C., Gigante, D. P., Domingues, M. R., & Kohl, H. W. (2011). Physical activity change during adolescence: a systematic review and a pooled analysis. International Journal of Epidemiology, 40(3), 685–698. DOI: 10.1093/ije/dyq272
- Durstine, J. L., Gordon, B., Wang, Z., & Luo, X. (2013). Chronic disease and the link to physical activity. Journal of Sport and Health Science, 2(1), 3–11. DOI: 10.1016/j.jshs.2012.07.009
- Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity, 12(1). DOI: 10.1186/s12966-015-0314-1
- Fakhouri, T. H., Hughes, J. P., Burt, V. L., Song, M., Fulton, J. E., & Ogden, C. L. (2014). Physical activity in U.S. youth aged 12–15 years, 2012. National Center for Health Statistics Data Brief, 141, 1–8.
- Gaudet, J., Gallant, F., & Bélanger, M. (2017) A bit of fit: minimalist intervention in adolescents based on a physical activity tracker. JMIR MHealth and UHealth, 5(7). DOI: 10.2196/mhealth.7647
- Goodyear, V. A., Kerner, C., & Quennerstedt, M. (2019). Young people’s uses of wearable healthy lifestyle technologies: surveillance, self-surveillance and resistance. Sport, Education and Society, 24(3), 212–225. DOI: 10.1080/13573322.2017.1375907
- Hallal, P. C., Andersen, L. B., Bull, F. C., Guthold, R., Haskell, W., & Ekelund, U. (2012). Global physical activity levels: surveillance progress, pitfalls, and prospects. The Lancet, 380(9838), 247–257. DOI: 10.1016/S0140-6736(12)60646-1
- Hermsen, S., Moons, J., Kerkhof, P., Wiekens, C., & De Groot, M. (2017). Determinants for sustained use of an activity tracker: observational study. JMIR MHealth and UHealth, 5(10), e164. DOI: 10.2196/mhealth.7311
- IBM Corp. (2015).
IBM SPSS Statistics for Windows Version 23.0 [Statistical software] . Armonk, NY, USA: Author. - Janssen, I., & LeBlanc, A. G. (2010). Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 7(40), 1–16. DOI: 10.1186/1479-5868-7-40
- Jones, D., Crossley, K., Dascombe, B., Hart, H. F., & Kemp, J. (2018). Validity and reliability of the Fitbit FlexTM and Actigraph GT3X+ at jogging and running speeds. International Journal of Sports Physical Therapy, 13(5), 860–870. DOI: 10.26603/ijspt20180860
- Kann, L., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H., Queen, B., Lowry, R., et al. (2018). Youth risk behavior surveillance—United States, 2017. MMWR. Surveillance Summaries, 67. DOI: 10.15585/mmwr.ss6708a1
- Kerner, C., Burrows, A., & McGrane, B. (2019). Health wearables in adolescents: implications for body satisfaction, motivation and physical activity. International Journal of Health Promotion and Education, 57(4), 191–202. DOI: 10.1080/14635240.2019.1581641
- Kerner, C., & Goodyear, V. A. (2017). The motivational impact of wearable healthy lifestyle technologies: a self-determination perspective on Fitbits with adolescents. American Journal of Health Education, 48(5), 287–297. DOI: 10.1080/19325037.2017.1343161
- Kim, J. (2014). A qualitative analysis of user experiences with a self-tracker for activity, sleep, and diet. Interactive Journal of Medical Research, 3(1), e8. DOI: 10.2196/ijmr.2878
- Lyons, E. J., Lewis, Z. H., Mayrsohn, B. G., & Rowland, J. L. (2014). Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. Journal of Medical Internet Research, 16(8), 1–15.
https://doi.org/10.2196/jmir.3469 - Metos, J., Gren, L., Brusseau, T., Moric, E., O’Toole, K., Mokhtari, T., Buys, S., et al. (2018). Adolescent girls’ reactions to nutrition and physical activity assessment tools and insight into lifestyle habits. Health Education Journal, 77(1), 85–95. DOI: 10.1177/0017896917734575
- Mollee, J. S., Middelweerd, A., te Velde, S. J., & Klein, M. C. A. (2017). Evaluation of a personalized coaching system for physical activity: user appreciation and adherence. In: The 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, Barcelona, Spain,
May 2017 , pp. 315–324. DOI: 10.1145/3154862.3154933 - Mooses, K., Oja, M., Reisberg, S., Vilo, J., & Kull, M. (2018). Validating Fitbit Zip for monitoring physical activity of children in school: a cross-sectional study. BMC Public Health, 18(858), 1–7. DOI: 10.1186/s12889-018-5752-7
- Ng, K., Tynjälä, J., & Kokko, S. (2017). Ownership and use of commercial physical activity trackers among Finnish adolescents: cross-sectional study. JMIR MHealth and UHealth, 5(5), 1–11. DOI: 10.2196/mhealth.6940
- Pittman, A. F. (2020). Effect of a school-based activity tracker, companion social website, and text messaging intervention on exercise, fitness, and physical activity self-efficacy of middle school students. The Journal of School Nursing, 36(2), 112–120. DOI: 10.1177/1059840518791223
- Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: promises and barriers. PLoS Medicine, 13(2), 1–9. DOI: 10.1371/journal.pmed.1001953
- Remmert, J. E., Woodworth, A., Chau, L., Schumacher, L. M., Butryn, M. L., & Schneider, M. (2019). Pilot trial of an acceptance-based behavioral intervention to promote physical activity among adolescents. The Journal of School Nursing, 35(6), 449–461. DOI: 10.1177/1059840518786782
- Ridgers, N. D., McNarry, M. A., & Mackintosh, K. A. (2016). Feasibility and effectiveness of using wearable activity trackers in youth: a systematic review. JMIR MHealth and UHealth, 4(4), 1–12. DOI: 10.2196/mhealth.6540
- Ridgers, N. D., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S. K., & Richards, K., et al. (2018). Wearable activity tracker use among Australian adolescents: usability and acceptability study. JMIR MHealth and UHealth, 6(4), 1–10. DOI: 10.2196/mhealth.9199
- Schaefer, S. E., Ching, C. C., Breen, H., & German, J. B. (2016). Wearing, thinking, and moving: testing the feasibility of fitness tracking with urban youth. American Journal of Health Education, 47(1), 8–16. DOI: 10.1080/19325037.2015.1111174
- Schoenfelder, E., Moreno, M., Wilner, M., Whitlock, K. B., & Mendoza, J. A. (2017). Piloting a mobile health intervention to increase physical activity for adolescents with ADHD. Preventive Medicine Reports, 6, 210–213. DOI: 10.1016/j.pmedr.2017.03.003
- Shin, G., Jarrahi, M. H., Fei, Y., Karami, A., Gafinowitz, N., Byun, A., & Lu, X. (2019). Wearable activity trackers, accuracy, adoption, acceptance and health impact: a systematic literature review. Journal of Biomedical Informatics, 93(103153). DOI: 10.1016/j.jbi.2019.103153
- Slootmaker, S. M., Chinapaw, M. J. M., Seidell, J. C., van Mechelen, W., & Schuit, A. J. (2010). Accelerometers and internet for physical activity promotion in youth? feasibility and effectiveness of a minimal intervention [ISRCTN93896459]. Preventive Medicine, 51(1), 31–36. DOI: 10.1016/j.ypmed.2010.03.015
- Voskuil, V. R., Frambes, D. A., & Robbins, L. B. (2016). Effect of physical activity interventions for girls on objectively measured outcomes: a systematic review of randomized controlled trials. Journal of Pediatric Health Care, 31(1), 75–87. DOI: 10.1016/j.pedhc.2016.03.003
- Wartella, E., Rideout, V., Montague, H., Beaudoin-Ryan, L., & Lauricella, A. (2016). Teens, health and technology: a national survey. Media and Communication, 4(3), 13–23. DOI: 10.17645/mac.v4i3.515
- World Health Organization. (2018). Physical activity fact sheet. Geneva, Switzerland: WHO.
https://www.who.int/news-room/fact-sheets/detail/physical-activity
