Demonstrating the Importance of Data Collected from Wearables and Passive Mobile Data in Predicting and Treating Cardiovascular Disease (CVD) as it pertains to Mental Health

Abstract

<h3>Objective(s)</h3> The aim of this review was to examine past and current studies that highlight the importance of passively collected data from mobile phones and wearables to treatment and prediction of cardiovascular disease with relation to mental health. <h3>Data Sources</h3> A literature review was conducted through PsychINFO, PubMed, EBSCOHost, IOP Science, Karger, and BioMed Central electronic journal databases. Search terms are as follows: heart rate variability, consumer health technology, mental health, cardiovascular disease, rehabilitation, and biofeedback. The search returned a total of 15,732 articles. <h3>Study Selection</h3> Inclusion criteria; (1) peer-reviewed articles published between 2016 and 2021; (2) studies published in English; (3) studies that evaluated the relationship between passively collected data and cardiovascular health. A total of 19 studies met the inclusion criteria. <h3>Data Extraction</h3> Information from the studies was retrieved by reading the abstract, results, conclusion, and discussion sections of the articles. <h3>Data Synthesis</h3> A majority of articles used wearables and mobile phone sensors to measure heart rate variability (HRV) with questionnaires to infer things such as emotional detection, risk for cardiovascular disease, and oxygen levels. Of the 19 studies in this review, 5 discussed the general accuracy of the passive data collection methods mentioned above. The other 14 studies discussed interventions informed by data that was passively collected. Within these 14, 8 studies discussed intervention as a whole, with the remaining 6 studies discussing mental health focused intervention. <h3>Conclusions</h3> The research evaluated showed a large correlation between passively collected data (via mobile phones and wearables) and questionnaires with cardiovascular health, as well as mental health in general. Future research should incorporate these methods of data collection to increase the efficacy of future therapy, rehabilitation programs, and medication modulation aimed at cardiovascular health. <h3>Author(s) Disclosures</h3> N/A