Why do I change my health behavior? the role of mobile health monitoring and health consciousness

Authors

DOI:

https://doi.org/10.20525/ijrbs.v14i3.4182

Keywords:

Mobile Health Monitoring, Self-quantification, Health Consciousness, Health Behavior Change, Smart Watch

Abstract

This study probes how mobile health monitoring contributes to health behavior change, with a particular focus on the roles of self-quantification and health consciousness. The findings indicate that mobile health monitoring effectively facilitates positive changes in health behaviors. Moreover, there is a significant interplay between self-quantification, mobile health monitoring, and behavior change—individuals are more likely to adopt healthier lifestyles when they can independently monitor and interpret their health data. Health consciousness further reinforces this relationship, as individuals with higher health awareness are more likely to transform data-driven insights into actionable and sustained health behaviors.

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References

Almarzouqi, A., Aburayya, A., & Salloum, S. A. (2022). Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis. Informatics in Medicine Unlocked, 28, 100859. https://doi.org/10.1016/j.imu.2022.100859 DOI: https://doi.org/10.1016/j.imu.2022.100859

Au-Yeung, C.-S., Chao, R.-F., & Hsu, L.-Y. (2021). Why it is difficult for military personnel to quit smoking: From the perspective of compensatory health beliefs. International Journal of Environmental Research and Public Health, 18(22), 12261. https://doi.org/10.3390/ijerph182212261 DOI: https://doi.org/10.3390/ijerph182212261

Barrett, L. F., Quigley, K. S., & Hamilton, P. (2016). An active inference theory of allostasis and interoception in depression. Philosophical Transactions of the Royal Society B: Biological Sciences, 371, 20160011. https://doi.org/10.1098/rstb.2016.0011 DOI: https://doi.org/10.1098/rstb.2016.0011

Chen, L., & Kim, M. (2020). Impact of smart watch on health promoting behaviors. ICIC Express Letters. Part B, 11(2), 207-212.

Echchad, M. (2023). The influence of social media usage and health consciousness on the purchasing intention of organic products: The mediating role of attitude. International Review of Communication and Marketing Mix, 6(1), 88-103. https://doi.org/10.12795/IROCAMM.2023.v06.i01.06 DOI: https://doi.org/10.12795/IROCAMM.2023.v06.i01.06

Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017). Active inference: A process theory. Neural Computation, 29(1), 1-49. https://doi.org/10.1162/NECO_a_00912 DOI: https://doi.org/10.1162/NECO_a_00912

Friston, K., Schwartenbeck, P., FitzGerald, T., Moutoussis, M., Behrens, T., & Dolan, R. J. (2013). The anatomy of choice: Active inference and agency. Frontiers in Human Neuroscience, 7, 598. https://doi.org/10.3389/fnhum.2013.00598 DOI: https://doi.org/10.3389/fnhum.2013.00598

Hahnen, C., Freeman, C. G., Haldar, N., Hamati, J. N., Bard, D. M., Murali, V., Merli, G. J., Joseph, J. I., & van Helmond, N. (2020). Accuracy of vital signs measurements by a smartwatch and a portable health device: Validation study. JMIR mHealth and uHealth, 8(2), e16811. https://doi.org/10.2196/16811 DOI: https://doi.org/10.2196/16811

Hawryszko, M., S?awi?ski, G., Koz?owski, D., & Lewicka, E. (2022). Apple watch-guided diagnosis of AVNRT in a pregnant woman—A case report and literature review. Frontiers in Cardiovascular Medicine, 9, 985421. https://doi.org/10.3389/fcvm.2022.985421 DOI: https://doi.org/10.3389/fcvm.2022.985421

Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford publications.

Hokroh, M., Green, G., & Soleton, M. (2020). Factors influencing health wearables adoption and usage in Saudi Arabia. Journal of Management and Economic Studies, 2(2), 89-98. https://doi.org/10.26677/TR1010.2020.604 DOI: https://doi.org/10.26677/TR1010.2020.604

Jadgal, M. S., Karimi, M., Alizadeh-Siuki, H., Salarzehi, F. K., & Zareipour, M. (2024). Determinants of preventive behavior against Covid-19 in secondary school students based on Health Belief Model (HBM): A structural equations modeling (SEM). Journal of Health, Population and Nutrition, 43(1), 96. https://doi.org/10.1186/s41043-024-00589-1 DOI: https://doi.org/10.1186/s41043-024-00589-1

Jeng, M. Y., Yeh, T. M., & Pai, F. Y. (2020). Analyzing older adults’ perceived values of using smart bracelets by means–end chain. Healthcare, 8(4), 494. https://doi.org/10.3390/healthcare8040494 DOI: https://doi.org/10.3390/healthcare8040494

Kline, R. B. (2023). Principles and practice of structural equation modeling. New York, NY: Guilford publications.

Mishra, S. (2025). Smartwatch market growth in 2025: Trends and forecasts. Analytics Insight. Retrieved March 17, 2025, from https://www.analyticsinsight.net/gadgets/smartwatch-market-growth-in-2025-trends-and-forecasts

Mustafa, S., Zhang, W., Shehzad, M. U., Anwar, A., & Rubakula, G. (2022). Does health consciousness matter to adopt new technology? An integrated model of UTAUT2 with SEM-fsQCA approach. Frontiers in Psychology, 13, 836194. https://doi.org/10.3389/fpsyg.2022.836194 DOI: https://doi.org/10.3389/fpsyg.2022.836194

Parr, T., & Pezzulo, G. (2021). Understanding, explanation, and active inference. Frontiers in Systems Neuroscience, 15, 772641. https://doi.org/10.3389/fnsys.2021.772641 DOI: https://doi.org/10.3389/fnsys.2021.772641

Sharma, R. (2025). Smartwatch market poised for $46.3B growth, fueled by AI & health tech. The Fast Mode. Retrieved March 17, 2025, from https://www.thefastmode.com/technology-and-solution-trends/39341-smartwatch-market-poised-for-46-3b-growth-fueled-by-ai-health-tech

Sheeran, P., Klein, W. M., & Rothman, A. J. (2017). Health behavior change: Moving from observation to intervention. Annual Review of Psychology, 68(1), 573-600. https://doi.org/10.1146/annurev-psych-010416-044007 DOI: https://doi.org/10.1146/annurev-psych-010416-044007

Siepmann, C., & Kowalczuk, P. (2021). Understanding continued smartwatch usage: The role of emotional as well as health and fitness factors. Electronic Markets, 31(4), 795-809. https://doi.org/10.1186/s41043-024-00589-1 DOI: https://doi.org/10.1007/s12525-021-00458-3

Skyrme, T. (2024). IDTechEx forecasts the wearable sensors market to reach US$7.2b by 2035. IDTechEx. Retrieved March 17, 2025, from https://www.idtechex.com/en/research-article/idtechex-forecast-the-wearable-sensors-market-to-reach-us-7-2b-by-2035/32264

Strecher, V. J., McEvoy DeVellis, B., Becker, M. H., & Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Education Quarterly, 13(1), 73-92. https://doi.org/10.1177/109019818601300108 DOI: https://doi.org/10.1177/109019818601300108

Taipei Times. (2025). Citi forecasts strong Taiwan economy in 2025, AI as key driver. Taipei Times. Retrieved March 17, 2025, from https://www.taipeitimes.com/News/biz/archives/2025/01/10/2003829940

Tan, B. C., Lau, T. C., Sarwar, A., & Khan, N. (2022). The effects of consumer consciousness, food safety concern and healthy lifestyle on attitudes toward eating “green”. British Food Journal, 124(4), 1187-1203. https://doi.org/10.1108/BFJ-01-2021-0005 DOI: https://doi.org/10.1108/BFJ-01-2021-0005

Verplanken, B., & Orbell, S. (2022). Attitudes, habits, and behavior change. Annual Review of Psychology, 73(1), 327-352. https://doi.org/10.1146/annurev-psych-020821-011744 DOI: https://doi.org/10.1146/annurev-psych-020821-011744

Wathanakom, N. (2023). A causal model of health consciousness, perception of risk and benefits, social influence, and attitude on the intention to purchase vitamins and nutritional supplements by generation Y consumers. Journal of Law and Sustainable Development, 11(7), e754-e754. https://doi.org/10.55908/sdgs.v11i7.754 DOI: https://doi.org/10.55908/sdgs.v11i7.754

Wei, Y. (2024). A qualitative inquiry to the smartwatch usage in outdoor recreation. 2024 TTRA International Conference, Burlington, VT, USA. https://doi.org/10.7275/54922

Xue, Y., Liu, G., Feng, Y., Xu, M., Jiang, L., Lin, Y., & Xu, J. (2020). Mediating effect of health consciousness in the relationship of lifestyle and suboptimal health status: A cross-sectional study involving Chinese urban residents. BMJ Open, 10(10), e039701. https://doi.org/10.1136/bmjopen-2020-039701 DOI: https://doi.org/10.1136/bmjopen-2020-039701

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Published

2025-05-03

How to Cite

Wang, P.-C., Wu, Y.-L., & Chao, R.-F. (2025). Why do I change my health behavior? the role of mobile health monitoring and health consciousness. International Journal of Research in Business and Social Science (2147- 4478), 14(3), 281–288. https://doi.org/10.20525/ijrbs.v14i3.4182

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Section

Interdisciplinary Studies in Humanities & Social Sciences