The impact of an AI-driven personal health platform on cardiovascular disease risk

• Published in: Smart health (Amsterdam) Vol. 33; p. 100499
• Main Authors: McNulty, Craig, Holland, Justin, McDonald, Cameron, McGee, Marshall J.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.09.2024
• Subjects: Artificial intelligence; Lifestyle medicine; Personalized health; Phenotype; Prevention; Lifestyle medicine; Prevention; AI; Personalized health; Phenotype; Artificial intelligence
• ISSN: 2352-6483
• DOI: 10.1016/j.smhl.2024.100499

Cardiovascular disease (CVD) is a global health concern, particularly among older adults, linked to fat and sugar-rich diet, inactivity, tobacco smoking, as well as genetic factors. Regular exercise and a balanced diet are recommended to reduce CVD risk. Recently, the use of computer of mobile phone application platforms have become promenent tools for personal health interventions and guidance. Although research findings of the efficacy of mobile health apps has had mixed results, improved user health and lowered risk of CVD has been seen with regular engagement. Shae, an AI-driven mobile health platform, offers personalized lifestyle guidance based on an individual's phenotype. The aim of this study is to assess whether engagement with the online platform, Shae, decreases Framingham non-laboratory CVD risk score over time. The study collected data from 1684 participants who engaged with the Shae online platform for at least 3-months between May 2014 and March 2018. After applying exclusion criteria, 5225 complete assessment entries remained for analysis. The Shae platform assessed health, predicted future risks, and recommended personalized interventions. Data included anthropometric measurements and survey responses, converted for standardized analysis. Descriptive statistics were calculated for participants' characteristics and compared across gender and age groups, in alignment with established cardiovascular disease (CVD) risk factors. A linear mixed-effect regression model was employed to assess changes in CVD risk over time. This research aimed to evaluate the impact of personalized health interventions on CVD risk in diverse demographic groups. CVD risk score, when adjusted for age, decreased by 11.2% following 24 months of engagement with the Shae app, with men 45 years and older seeing the largest decrease (16.1%), and the lowest decrease seen in women under 55 years (10%). Use of the Shae app was primarily by women (85%). This study assessed the impact of engagement with the mHealth app, Shae, on reducing CVD risk. Results revealed a significant CVD risk reduction, notably in men over 45. mHealth apps like Shae provide personalized health assessments, activity tracking, nutrition advice, and medication reminders, enabling proactive cardiovascular health management. Increased physical activity and better blood pressure control were key factors in risk reduction. Tailored interventions for high-risk groups align with previous research. Given the importance of preventing CVD, mHealth apps hold promise. This 24-month study offers robust insights, and the focus on individual phenotypes enhances engagement and health outcomes. •The Shae health platform targets specific user phenotypes to deliver personalized health strategies.•Researchers investigated the use of the Shae platform to decrease cardiovascular disease risk over a 24 month period.•Engagement Shae saw a general decrease in cardiovascular disease risk for all participant groups over 24 months.•Men over 45 years saw the largest decrease (16.1%), while women under 55 years saw the smallest decrease (10%).