Wearable technology-stimulated social interaction for promoting physical activity: A systematic review

References

• Adesida, Y., Papi, E., & McGregor, A. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. Sensors, 19(7), 1597. https://doi.org/10.3390/s19071597
   PubMedGoogle Scholar
• Aitken, M., & Gauntlett, C. (2013). Patient apps for improved healthcare, from novelty to mainstream. IMS Institute for Healthcare Informatics. http://moodle.univ-lille2.fr/pluginfile.php/215345/mod_resource/content/0/IIHI_Patient_Apps_Report.pdf
   Google Scholar
• Baker, B., Zhou, X., Pizzo, A., Du, J., & Funk, D. (2017). Collaborative self-study: Lessons from a study of wearable fitness technology and physical activity. Sport Management Review, 20(1), 114–17. https://doi.org/10.1016/j.smr.2016.10.008
   Web of Science ®Google Scholar
• Björnsjö, A., Viglino, M., & Lovati, G. (2014). Engaging the digital consumer in the New Connected World. Resource document. Accenture. Accessed 4 September 2019. www.accenture.com/t20150523T033024__w__/us-en/_acnmedia/Accenture/ConversionAssets/DotCom/Documents/Global/PDF/Dualpub_7/Accenture-Engaging-Digital-Consumer-New-Connected-World.pdf
   Google Scholar
• Boratto, L., Carta, S., Mulas, F., & Pilloni, P. (2017). An e-coaching ecosystem: Design and effectiveness analysis of the engagement of remote coaching on athletes. Personal and Ubiquitous Computing, 21(4), 689–704. https://doi.org/10.1007/s00779-017-1026-0
   Web of Science ®Google Scholar
• Boyd, D. (2008). Taken out of context: American teen sociality in networked publics. University of California. Retrieved July 4, 2019, from www.danah.org/papers/TakenOutOfContext.pdf
   Google Scholar
• Boyd, D., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Butte, N. F., Ekelund, U., & Westerterp, K. R. (2012). Assessing physical activity using wearable monitors: Measures of physical activity. Medicine & Science in Sports & Exercise, 44(1), 5–12. https://doi.org/10.1249/MSS.0b013e3182399c0e
   Web of Science ®Google Scholar
• Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015). The use of wearable microsensors to quantify sport-specific movements. Sports Medicine (Auckland, N.Z.), 45(7), 1065–1081. https://doi.org/10.1007/s40279-015-0332-9
   PubMed Web of Science ®Google Scholar
• Chang, R. C. S., Lu, H. P., Yang, P., & Luarn, P. (2016). Reciprocal reinforcement between wearable activity trackers and social network services in influencing physical activity behaviors. JMIR Mhealth Uhealth, 4(3), e84. https://doi.org/10.2196/mhealth.5637
   PubMed Web of Science ®Google Scholar
• Chen, M., Ma, Y., Song, J., Lai, C. F., & Hu, B. (2016). Smart clothing: Connecting human with clouds and big data for sustainable health monitoring. Mobile Networks and Applications, 21(5), 825–845. https://doi.org/10.1007/s11036-016-0745-1
   Web of Science ®Google Scholar
• Curmi, F., Ferrario, M. A., Southern, J., & Whittle, J. (2013). HeartLink: Open broadcast of live biometric data to social networks. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1749–1758.
   Google Scholar
• Dharia, S., Jain, V., Patel, J., Eirinaki, M., & Varlamis, I. (2016). PRO-Fit: Exercise with friends proceedings of the 2016 IEEE/ACM international conference on advances in social networks analysis and mining. ASONAM, 2016(7752437), 1430–1433. doi:10.1109/ASONAM.2016.7752437.
   Google Scholar
• Dixon-Woods, M., Bonas, S., Booth, A., Jones, D. R., Miller, T., Sutton, A. J., Shaw, R. L., Smith, J. A., & Young, B. (2006). How can systematic reviews incorporate qualitative research? A critical perspective. Qualitative Research, 6(1), 27–44. https://doi.org/10.1177/1468794106058867
   Google Scholar
• Dixon-Woods, M., Sutton, A., Shaw, R., Miller, T., Smith, J., Young, B., Bonas, S., Booth, A., & Jones, D. (2007). Appraising qualitative research for inclusion in systematic reviews: A quantitative and qualitative comparison of three methods. Journal of Health Services Research & Policy, 12(1), 42–47. pmid:17244397. https://doi.org/10.1258/135581907779497486
   PubMedGoogle Scholar
• Downward, P., & Riordan, J. (2007). Social interactions and the demand for sport: An economic analysis. Contemporary Economic Policy, 25(4), 518–537. https://doi.org/10.1111/j.1465-7287.2007.00071.x
   Web of Science ®Google Scholar
• Dunne, L., Profita, H., & Zeagler, C. (2014). Social aspects of wearability and interaction. In E. Sazonov & M. Neuman (Eds.), Wearable sensors: Fundamentals, implementation and applications (pp. 25–43). Elsevier Inc.
   Google Scholar
• Edwards, E. A., Lumsden, J., Rivas, C., Steed, L., Edwards, L. A., Thiyagarajan, A., Sohanpal, R., Caton, H., Griffiths, C. J., Munafò, M. R., Taylor, S., & Walton, R. T. (2016). Gamification for health promotion: Systematic review of behaviour change techniques in smartphone apps. BMJ Open, 6(10), e012447. https://doi.org/10.1136/bmjopen-2016-012447
   Google Scholar
• Ellison, N., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “Friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x
   Web of Science ®Google Scholar
• Friedrich, M. J. (2017). Global obesity epidemic worsening. JAMA, 318(7), 603. https://doi.org/10.1001/jama.2017.10693
   Web of Science ®Google Scholar
• 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. iFirst Article. https://doi.org/10.1080/13573322.2017.1375907
   PubMed Web of Science ®Google Scholar
• Gui, X., Chen, Y., Caldeira, C., Xiao, D., & Chen, Y. (2017). When fitness meets social networks: Investigating fitness tracking and social practices on WeRun. Proceedings of the 2017 ACM Sigchi conference on human factors in computing systems (Chi’17) (pp. 1647–1659).
   Google Scholar
• Helbostad, J. L., Chiari, L., Chastin, S., & Aminian, K. (2016). Advances in long term physical behaviour monitoring. BioMed Research International, 2, 1–2. https://doi.org/10.1155/2016/6745760
   Google Scholar
• Jakicic, J. M., Davis, K. K., Rogers, R. J., King, W. C., Marcus, M. D., Helsel, D., Rickman, A. D., Wahed, A. S., & Belle, S. H. (2016). Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: The IDEA randomized clinical trial. JAMA, 316(11), 1161–1171. https://doi.org/10.1001/jama.2016.12858
   PubMed Web of Science ®Google Scholar
• Johnson-Siegel, M. (2017). Dyadic analyses of daily interactions: Effects of perceived social support and social control on physical activity behavior”. Graduate Theses and Dissertations, 15542, 1–139. https://lib.dr.iastate.edu/etd/15542
   Google Scholar
• 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. https://doi.org/10.1080/19325037.2017.1343161
   Web of Science ®Google Scholar
• Kerr, J., & Mackenzie, S. (2012). Multiple motives for participating in adventure sports. Psychology of Sport and Exercise, 13(5), 649–657. https://doi.org/10.1016/j.psychsport.2012.04.002
   Web of Science ®Google Scholar
• Kinney, D. (2017). College students’ use and perceptions on wearable fitness trackers and Mobile Health Apps [A dissertation proposal submitted to the Graduate School of the University of Cincinnati].
   Google Scholar
• Lomborg, S. (2014). Social media – Social genres. Making sense of the ordinary. London: Routledge.
   Google Scholar
• Lomborg, S., & Frandsen, K. (2016). Self-tracking as communication. Information, Communication and Society, 19(7), 1015–1027. https://doi.org/10.1080/1369118X.2015.1067710
   Web of Science ®Google Scholar
• Lupton, D. (2013a). Quantifying the body: Monitoring and measuring health in the age of mhealth technologies. Critical Public Health, 23(4), 393–403. https://doi.org/10.1080/09581596.2013.794931
   Web of Science ®Google Scholar
• Lupton, D. (2013b). Understanding the Human Machine. IEEE Technology and Society Magazine, 32(4), 25–30. https://doi.org/10.1109/MTS.2013.2286431
   Web of Science ®Google Scholar
• Lupton, D. (2016). The quantified self: A Sociology of self-tracking. Polity Press.
   Google Scholar
• Lynch, C., Bird, S., Lythgo, N., & Selva-Raj, I. (2019). Changing the physical activity behavior of adults with fitness trackers: A systematic review and meta-analysis. American Journal of Health Promotion, 1–13. https://doi.org/10.1177/0890117119895204
   Google Scholar
• Mauriello, M., Gubbels, M., & Froehlich, J. (2014, April 26—May 01). Social fabric fitness: The design and evaluation of wearable E-Textile displays to support group running. In Proceedings of the 32nd  Annual ACM Conference on Human Factors in Computing Systems, CHI ’14, ACM (New York, NY, USA, 2014), 2833–2842. https://doi.org/10.1145/2556288.2557299
   Google Scholar
• Milculic, M. (2019). mHealth - Statistics & Facts. Statista. https://www.statista.com/topics/2263/mhealth/01November2019
   Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA Statement. BMJ, 339(jul21 1), b2535.
   PubMed Web of Science ®Google Scholar
• Müller, A. M., Alley, S., Schoeppe, S., & Vandelanotte, C. (2016). The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. The International Journal of Behavioural Nutrition and Physical Activity, 13(1), 109. https://doi.org/10.1186/s12966-016-0434-2
   PubMed Web of Science ®Google Scholar
• Nishiyama, Y., Okoshi, T., Yonezawa, T., Nakazawa, J., Takashio, K., & Tokuda, H. (2016, May). Toward health exercise behavior change for teams using lifelog sharing models. Journal of Biomedical and Health Informatics, 20(3), 775–787. https://doi.org/10.1109/JBHI.2015.2478903
   PubMed Web of Science ®Google Scholar
• Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. How Japanese companies create the dynamics of innovation. Oxford University Press.
   Google Scholar
• Perski, O., Blandford, A., West, R., & Michie, S. (2017). Conceptualising engagement with digital behaviour change interventions: A systematic review using principles from critical interpretive synthesis. TBM, 2017(7), 254–267. https://doi.org/10.1007/s13142-016-0453-1
   Google Scholar
• Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Blackwell Publishing.
   Google Scholar
• Petticrew, M., & Roberts, H. (2008). Systematic reviews – Do they ‘work’ in informing decision-making around health inequalities? Health Economics, Policy and Law, 3(2), 197–211. https://doi.org/10.1017/S1744133108004453
   PubMed Web of Science ®Google Scholar
• Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLoS Medicine, 13(2), e1001953. https://doi.org/10.1371/journal.pmed.1001953
   PubMed Web of Science ®Google Scholar
• Ramirez, E. (2016). Discretionary self-monitoring of physical activity: A mixed-methods study of behavior change technique use and historical physical activity [PhD Dissertation, University of California]. San Diego State University.
   Google Scholar
• Ridgers, N. D., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Mackintosh, K. A., McNarry, M. A., Foster, M., & Salmon, J. (2018). Wearable activity tracker use among Australian adolescents: Usability and acceptability study. JMIR Mhealth Uhealth, 6(4), e86. https://doi.org/10.2196/mhealth.9199
   PubMed Web of Science ®Google Scholar
• Ridgers, N. D., Timperio, A., Brown, H., Ball, K., Macfarlane, S., Lai, S. K., Richards, K., Ngan, W., & Salmon, J. (2017). A cluster-randomised controlled trial to promote physical activity in adolescents: The Raising Awareness of Physical Activity (RAW-PA) Study. BMC Public Health, 17(1), 600–614. https://doi.org/10.1186/s12889-016-3945-5
   PubMed Web of Science ®Google Scholar
• Rosales, A., Fernández-Ardévol, M., Comunello, F., Mulargia, S., & Ferran-Ferrer, N. (2017). Older people and smartwatches, initial experiences. Profesional de la Informacion, 26(3), 457–463. https://doi.org/10.3145/epi.2017.may.12
   Web of Science ®Google Scholar
• Ryan, R. M., Deci, E. L., & Grolnick, W. S. (1995). Autonomy, relatedness, and the self: Their relation to development and psychopathology. In D. Cicchetti & D. J. Cohen (Eds.), Wiley series on personality processes. Developmental psychopathology, Vol. 1. Theory and methods (pp. 618–655). John Wiley & Sons.
   Google Scholar
• 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. https://doi.org/10.1080/19325037.2015.1111174
   Web of Science ®Google Scholar
• Sonne, T., & Jensen, M. (2014). Race by Hearts. In Y. Pisan, N. M. Sgouros, & T. Marsh (Eds.), Entertainment computing – ICEC 2014. ICEC 2014. Lecture notes in computer science (pp. 8770). Berlin, Heidelberg.
   Google Scholar
• Sprecher, S., Felmlee, D., Orbuch, T. L., & Willets, M. C. (2002). Social networks and change in personal relationships. In A. Vangelisti, H. Reis, & M. A. Fitzpartick (Eds.), Stability and change in relationships (pp. 257–284). Cambridge University Press.
   Google Scholar
• Stephenson, A., Mcdonough, S., Murphy, M., Nugent, C., & Mair, J. (2017). Using computer, mobile and wearable technology enhanced interventions to reduce sedentarybehaviour: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 14(1). https://doi.org/10.1186/s12966-017-0561-4
   PubMedGoogle Scholar
• Stragier, J., Evens, T., & Mechant, P. (2015). Broadcast yourself: An exploratory study of sharing physical activity on social networking sites. Media International Australia, 155(1), 120–129. https://doi.org/10.1177/1329878X1515500114
   Web of Science ®Google Scholar
• Sullivan, A. N., & Lachman, M. E. (2017). Behavior change with fitness technology in sedentary adults: A review of the evidence for increasing physical activity. Frontiers in Public Health, 4, 289. https://doi.org/10.3389/fpubh.2016.00289
   PubMed Web of Science ®Google Scholar
• Turner, J. (1988). A Theory of Social Interaction. Stanford University Press.
   Google Scholar
• Wellman, B., & Haythornthwaite, C. (Eds.). (2002). The Internet in everyday life. Blackwell.
   Google Scholar
• Wolff, G., & Kelly, K. (2014). Quantified self: Self-knowledge through numbers. Accessed, 2, 16. https://scholar.google.com/citations?user=8vdPZe4AAAAJ&hl=en&oi=sra
   Google Scholar
• World Health Organisation. (2015). Health topics: Physical activity. www.who.int/topics/physicalactivity/en
   Google Scholar
• Yingling, L. R., Mitchell, V., Ayers, C. R., Wiley, K. L., Powell-Wiley, T., Wallen, G. R., Brooks, A. T., Troendle, J. F., Adu-Brimpong, J., Thomas, S., Henry, J., Saygbe, J. N., Sampson, D. M., Johnson, A. A., Graham, A. P., Graham, L. A., & Wiley, K. L. (2017). Adherence with physical activity monitoring wearable devices in a community-based population: Observations from the Washington, D.C., cardiovascular health and needs assessment. Translational Behavioral Medicine, 7(4), 719–730. https://doi.org/10.1007/s13142-016-0454-0
   PubMed Web of Science ®Google Scholar
• Zhu, Y., Dailey, S. L., Kreitzberg, D., & Bernhardt, J. (2017). “Social Networkout”: Connecting social features of wearable fitness trackers with physical exercise. Journal of Health Communication, 22(12), 974–980. https://doi.org/10.1080/10810730.2017.1382617
   PubMed Web of Science ®Google Scholar
• Muntaner-Mas, A., Vidal-Conti, J., & Palou Sampol, P. (2016). Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal, 22(3), 451-469. https://doi.org/10.1177/1460458214567004.
   Google Scholar