Pilot Trial Completed: AI Health Coach Using Just-in-Time Adaptive Intervention for Weight Management — Feasibility and Acceptability Findings in Overweight Adults
247 Health News Editorial
·23 July 2026
·4 min read
·clinical-trialsA completed pilot study from Zhejiang University has evaluated the feasibility and acceptability of an AI health coach delivering just-in-time adaptive interventions for weight management via wearable devices and WeChat. With 31 participants enrolled, the trial assessed retention, engagement, and wearable use rates as primary outcomes, providing foundational data for a future powered randomised trial in adults with overweight or obesity.
Originally reported by ClinicalTrials.gov
References
- 1.The Fourth Affiliated Hospital of Zhejiang University School of Medicine. (2025). Research on the needs, feasibility, and intervention effects of AI health coach-based just-in-time adaptive intervention (JITAI) in weight management for overweight/obese adults (NCT07682571). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07682571
- 2.Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine, 52(6), 446–462. https://doi.org/10.1007/s12160-016-9830-8
- 3.Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., & Ezzati, M. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. The Lancet, 380(9859), 2224–2260. https://doi.org/10.1016/S0140-6736(12)61766-8
- 4.Whitehead, A. L., Julious, S. A., Cooper, C. L., & Campbell, M. J. (2016). Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Statistical Methods in Medical Research, 25(3), 1057–1073. https://doi.org/10.1177/0962280215588241
- 5.Pan, X. F., Wang, L., & Pan, A. (2021). Epidemiology and determinants of obesity in China. The Lancet Diabetes & Endocrinology, 9(6), 373–392. https://doi.org/10.1016/S2213-8587(21)00045-0
- 6.Dombrowski, S. U., Knittle, K., Avenell, A., Araújo-Soares, V., & Sniehotta, F. F. (2014). Long term maintenance of weight loss with non-surgical interventions in obese adults: Systematic review and meta-analyses of randomised controlled trials. BMJ, 348, g2646. https://doi.org/10.1136/bmj.g2646
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247 Health News Editorial
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