Abstract
Both genetic and lifestyle factors contribute to an individual’s disease risk, suggesting a multi-omic approach is essential for personalized prevention. Studies have examined the effectiveness of lifestyle coaching on clinical outcomes, however, little is known about the impact of genetic predisposition on the response to lifestyle coaching. Here we report on the results of a real-world observational study in 2531 participants enrolled in a commercial “Scientific Wellness” program, which combines multi-omic data with personalized, telephonic lifestyle coaching. Specifically, we examined: 1) the impact of this program on 55 clinical markers and 2) the effect of genetic predisposition on these clinical changes. We identified sustained improvements in clinical markers related to cardiometabolic risk, inflammation, nutrition, and anthropometrics. Notably, improvements in HbA1c were akin to those observed in landmark trials. Furthermore, genetic markers were associated with longitudinal changes in clinical markers. For example, individuals with genetic predisposition for higher LDL-C had a lesser decrease in LDL-C on average than those with genetic predisposition for average LDL-C. Overall, these results suggest that a program combining multi-omic data with lifestyle coaching produces clinically meaningful improvements, and that genetic predisposition impacts clinical responses to lifestyle change.
Highlights
While there is strong scientific interest for using multi-omic data to prevent chronic diseases related to lifestyle and behavior, to date little value has been demonstrated for consumers or patients
We report on the results of a real-world observational study, using longitudinal blood, saliva, and anthropometric data gathered from 2531 participants in the commercial Scientific Wellness program (Arivale, Inc)
This study extends the results of previous studies[9,13] and supports the importance of a Scientific Wellness approach, combining multi-omic data and personalized lifestyle coaching in a real-world setting
Summary
While there is strong scientific interest for using multi-omic data to prevent chronic diseases related to lifestyle and behavior, to date little value has been demonstrated for consumers or patients. Because of the important effects of lifestyle on chronic disease risk, studies have examined the effectiveness of health coaching on promoting clinical changes. While there is some evidence that genetic predisposition has an impact on clinical response[7,8], much less is known about the role of genetics in determining response to lifestyle change, supporting the need for further study. To address these gaps, we developed a systems-based approach, “Scientific Wellness”, which combines genetic and clinical data with lifestyle coaching. We estimate the impact of genetic predisposition on changes in these clinical markers during the first year of the program
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