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

Q2 Health Professions
Craig McNulty , Justin Holland , Cameron McDonald , Marshall J. McGee
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引用次数: 0

Abstract

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.

人工智能驱动的个人健康平台对心血管疾病风险的影响
心血管疾病(CVD)是全球关注的健康问题,尤其是在老年人中,这与高脂肪、高糖饮食、缺乏运动、吸烟以及遗传因素有关。建议通过定期锻炼和均衡饮食来降低心血管疾病风险。最近,使用电脑和手机应用平台已成为个人健康干预和指导的重要工具。尽管对移动健康应用程序功效的研究结果好坏参半,但通过定期使用,用户的健康状况得到了改善,心血管疾病的风险也有所降低。Shae是一个人工智能驱动的移动健康平台,可根据个人的表型提供个性化的生活方式指导。本研究旨在评估参与在线平台Shae是否会随着时间的推移降低弗雷明汉非实验室心血管疾病风险评分。研究收集了2014年5月至2018年3月期间参与Shae在线平台至少3个月的1684名参与者的数据。在应用排除标准后,仍有5225个完整的评估条目可供分析。Shae平台评估健康状况、预测未来风险并推荐个性化干预措施。数据包括人体测量和调查回复,并进行了标准化分析转换。根据已确定的心血管疾病(CVD)风险因素,对参与者的特征进行了描述性统计,并对不同性别和年龄组进行了比较。采用线性混合效应回归模型评估心血管疾病风险随时间的变化。这项研究旨在评估个性化健康干预措施对不同人口群体心血管疾病风险的影响。经年龄调整后,使用Shae应用程序24个月后,心血管疾病风险评分下降了11.2%,其中45岁及以上男性的降幅最大(16.1%),55岁以下女性的降幅最小(10%)。这项研究评估了使用移动医疗应用 Shae 对降低心血管疾病风险的影响。结果显示,心血管疾病风险明显降低,尤其是 45 岁以上的男性。像 Shae 这样的移动医疗应用程序可提供个性化健康评估、活动跟踪、营养建议和用药提醒,从而实现积极主动的心血管健康管理。增加体育锻炼和更好地控制血压是降低风险的关键因素。为高危人群量身定制的干预措施与以往的研究结果一致。鉴于预防心血管疾病的重要性,移动医疗应用程序大有可为。这项为期 24 个月的研究提供了可靠的见解,对个体表型的关注提高了参与度和健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Health
Smart Health Computer Science-Computer Science Applications
CiteScore
6.50
自引率
0.00%
发文量
81
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