A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study
- PMID: 32673246
- PMCID: PMC7382010
- DOI: 10.2196/17558
A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study
Abstract
Background: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized support at scale.
Objective: This proof of concept study aimed to test the feasibility (recruitment and retention) and preliminary efficacy of physical activity and Mediterranean-style dietary intervention (MedLiPal) delivered via artificially intelligent virtual health coach.
Methods: This 12-week single-arm pre-post study took place in Adelaide, Australia, from March to August 2019. Participants were inactive community-dwelling adults aged 45 to 75 years, recruited through news stories, social media posts, and flyers. The program included access to an artificially intelligent chatbot, Paola, who guided participants through a computer-based individualized introductory session, weekly check-ins, and goal setting, and was available 24/7 to answer questions. Participants used a Garmin Vivofit4 tracker to monitor daily steps, a website with educational materials and recipes, and a printed diet and activity log sheet. Primary outcomes included feasibility (based on recruitment and retention) and preliminary efficacy for changing physical activity and diet. Secondary outcomes were body composition (based on height, weight, and waist circumference) and blood pressure.
Results: Over 4 weeks, 99 potential participants registered expressions of interest, with 81 of those screened meeting eligibility criteria. Participants completed a mean of 109.8 (95% CI 1.9-217.7) more minutes of physical activity at week 12 compared with baseline. Mediterranean diet scores increased from a mean of 3.8 out of 14 at baseline, to 9.6 at 12 weeks (mean improvement 5.7 points, 95% CI 4.2-7.3). After 12 weeks, participants lost an average 1.3 kg (95% CI -0.1 to -2.5 kg) and 2.1 cm from their waist circumference (95% CI -3.5 to -0.7 cm). There were no significant changes in blood pressure. Feasibility was excellent in terms of recruitment, retention (90% at 12 weeks), and safety (no adverse events).
Conclusions: An artificially intelligent virtual assistant-led lifestyle-modification intervention was feasible and achieved measurable improvements in physical activity, diet, and body composition at 12 weeks. Future research examining artificially intelligent interventions at scale, and for other health purposes, is warranted.
Keywords: Mediterranean diet; chatbot; lifestyle; physical activity; virtual assistant.
©Carol Ann Maher, Courtney Rose Davis, Rachel Grace Curtis, Camille Elizabeth Short, Karen Joy Murphy. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 10.07.2020.
Conflict of interest statement
Conflicts of Interest: None declared.
Figures
References
-
- Remington P, Brownson R, Wegner M. Chronic Disease Epidemiology and Control. 3rd ed: American Public Health Association; 2010.
-
- 4364.0.55.003 - Australian Health Survey: Updated Results, 2011-2012. Daily Intake of Fruit and Vegetables. Australian Bureau of Statistics; 2013. [2019-09-01]. https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/C549D4433F6B74D7CA257B82....
-
- 4364.0.55.001 - Australian Health Survey: First Results, 2011-12. Australian Bureau of Statistics; 2012. [2019-08-31]. https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/4364.0.55.001main+featur....
-
- Sinclair TJ, Grieve R. Facebook as a source of social connectedness in older adults. Computers in Human Behavior. 2017 Jan;66:363–369. doi: 10.1016/j.chb.2016.10.003. - DOI
-
- Chronic Disease Management - Provider Information. Australian Government, Department of Health. 2014. [2019-08-31]. https://www1.health.gov.au/internet/main/publishing.nsf/Content/mbsprima....
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
