Perspectives Toward Smartwatch Usage: A Qualitative Study
DOI:
https://doi.org/10.33165/rmj.48.03.e273323Keywords:
Smartwatch, Wearable tracker, Health behaviorAbstract
Background: Smartwatches are popular in Thailand nowadays. However, there is no study on how it affects health behavior among Thais.
Objective: To study Thai users' experiences with smartwatches.
Methods: A qualitative study among Thai users of smartwatches aged over 18 and living in Thailand. A purposeful sampling technique was used until the data was saturated. A verbatim transcription was also performed. The study researchers carried out content analysis, data triangulation, and consensus.
Results: A total of 14 participants, with an average age of 37.79 years, all used smartwatches. Most had been using it for more than 5 years. The motives include maintaining a good figure, viewing it as a must-have item, awareness of disease risk, self-reliance, cardiophobia,
and special gift. They valued the device as a new tool for exercise, objective parameter, heart disease monitor, and personal health coaches. Some are addicted to the smartwatch. A community of health-conscious individuals emerged. Support system such as workplace benefits, health insurance discount, and fitness center discount were found.
Conclusions: Smartwatch usage impacts health behavior changes among Thais in positive and negative outcomes, which can provoke over health concerns. Thai society should use it wisely.
References
Jin D, Halvari H, Maehle N, Olafsen AH. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behav Inf Technol. 2022;41(2):242-261. doi:10.1080/0144929X.2020.1801840
Butler RN, Miller RA, Perry D, et al. New model of health promotion and disease prevention for the 21st century. BMJ. 2008;337(7662):a399. doi:10.1136/bmj.a399
Beldad AD, Hegner SM. Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: a structural equation modeling approach. Int J Hum Comput Interact. 2018;34(9):882-893. doi:10.1080/10447318.2017.1403220
Ellingson LD, Lansing JE, DeShaw KJ, et al. Evaluating motivational interviewing and habit formation to enhance the effect of activity trackers on healthy adults' activity levels: randomized intervention. JMIR Mhealth Uhealth. 2019;7(2):e10988. doi:10.2196/10988
Ahuja N, Ozdalga E, Aaronson A. Integrating mobile fitness trackers into the practice of medicine. Am J Lifestyle Med. 2016;11(1):77-79. doi:10.1177/1559827615583643
Böhm B, Karwiese SD, Böhm H, Oberhoffer R. Effects of mobile health including wearable activity trackers to increase physical activity outcomes among healthy children and adolescents: systematic review. JMIR Mhealth Uhealth. 2019;7(4):e8298. doi:10.2196/mhealth.8298
Brickwood KJ, Watson G, O'Brien J, Williams AD. Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR Mhealth Uhealth. 2019;7(4):e11819. doi:10.2196/11819
Anderson K, Burford O, Emmerton L. Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS One. 2016;11(5):e0156164. doi:10.1371/journal.pone.0156164
Boyd S. Wearable technology for health monitoring and diagnostics. International Journal of Computing and Engineering. 2024;5(5):33-44. doi:10.47941/ijce.2041
Kim B, Hong S, Kim S. Introducing an integrated model of adults' wearable activity tracker use and obesity information-seeking behaviors from a national quota sample survey. JMIR Form Res. 2021;5(9):e23237. doi:10.2196/23237
Chatchawandamrongjet T, Intojunyong S. Factors influencing intention to use wearable device for self-protection of health risk. Journal of Information Systems in Business. 2019;5(3):6-19. doi:10.14456/jisb.2019.11
Centi AJ, Atif M, Golas SB, et al. Factors influencing exercise engagement when using activity trackers: nonrandomized pilot study. JMIR Mhealth Uhealth. 2019;7(10):e11603. doi:10.2196/11603
Honary M, Bell BT, Clinch S, Wild SE, McNaney R. Understanding the role of healthy eating and fitness mobile apps in the formation of maladaptive eating and exercise behaviors in young people. JMIR Mhealth Uhealth. 2019;7(6):e14239. doi:10.2196/14239
O'Keefe JH, Patil HR, Lavie CJ, Magalski A, Vogel RA, McCullough PA. Potential adverse cardiovascular effects from excessive endurance. Mayo Clin Proc. 2012;87(6):587-595. doi:10.1016/j.mayocp.2012.04.005
Similarweb. Top Apps Ranking: Most Used Apps in Thailand. Updated 21 May 2025. Accessed 23 May 2025. https://www.similarweb.com/top-apps/google/thailand
Asia Research Media. Health and Wellness Apps in Asia. Accessed 23 May 2025. https://www.asia-research.net/health-and-wellness-apps-in-asia
Rosman L, Lampert R, Zhuo S, et al. Wearable devices, health care use, and psychological well-being in patients with atrial fibrillation. J Am Heart Assoc. 2024;13(15):e033750. doi:10.1161/JAHA.123.033750
Middlemass JB, Vos J, Siriwardena AN. Perceptions on use of home telemonitoring in patients with long term conditions - concordance with the health information technology acceptance model: a qualitative collective case study. BMC Med Inform Decis Mak. 2017;17(1):89. doi:10.1186/s12911-017-0486-5
Oostrum JM. Van. Exploring the Impact of Wearable Devices on Perceived Stress and Health Anxiety: A Mixed-Methods Approach. Master’s thesis. Department of Psychology, University of Twente; 2024. Accessed 23 May 2025. https://purl.utwente.nl/essays/100047
Siddika A, Ellithorpe ME. I did 10,000 steps so I earned this treat: problematic smartwatch use and exercise tracking associations with compensatory eating and sedentary activity. Cyberpsychol Behav Soc Netw. 2025;28(3):211-216. doi:10.1089/cyber.2024.0204
Statista. Consumption value of health and wellness products in Thailand from 2016 to 2021 with forecasts to 2025 (in billion US dollars). Accessed 23 May 2025. https://www.statista.com/statistics/1245772/thailand-health-and-wellness-products-consumption
Andersen TO, Langstrup H, Lomborg S. Experiences with wearable activity data during self-care by chronic heart patients: qualitative study. J Med Internet Res. 2020;22(7):e15873. doi:10.2196/15873
Rosman L, Gehi A, Lampert R. When smartwatches contribute to health anxiety in patients with atrial fibrillation. Cardiovasc Digit Health J. 2020;1(1):9-10. doi:10.1016/j.cvdhj.2020.06.004
Grupe DW, Nitschke JB. Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective. Nat Rev Neurosci. 2013;14(7):488-501. doi:10.1038/nrn3524
Clear J. Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones. Avery; 2018.
Ryan J, Edney S, Maher C. Anxious or empowered? a cross-sectional study exploring how wearable activity trackers make their owners feel. BMC Psychol. 2019;7(1):42. doi:10.1186/s40359-019-0315-y
Gordon S. What Are the Five Love Languages? Knowing your partner's love language could strengthen your relationship. Verywell Mind. Updated 5 February 2024. Accessed 23 May 2025. https://www.verywellmind.com/can-the-five-love-languages-help-your-relationship-4783538
Zhang T. Measuring following behaviour in gift giving by utility function: statistical model and empirical evidence from China. Humanit Soc Sci Commun. 2022;9:190. doi:10.1057/s41599-022-01214-4
D’Souza C. An inference of gift‐giving within Asian business culture. Asia Pacific Journal of Marketing and Logistics. 2003;15(1/2):27-38. doi:10.1108/13555850310765051
Pender NJ, Murdaugh CL, Parsons MA. Health Promotion in Nursing Practice. 5th ed. Prentice Hall; 2006.
Chen HH, Hsieh PL. Applying the Pender’s health promotion model to identify the factors related to older adults' participation in community-based health promotion activities. Int J Environ Res Public Health. 2021;18(19):9985. doi:10.3390/ijerph18199985
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