Abstract

Introduction: There has been a rise in the interest in mobile health technology (mHealth) to support cardiovascular (CV) health; however, the relationship between CV risk and mHealth access/usage is not clear. Methods: We used data from the 2017 to 2020 Health Information National Trends Survey. CV risk factors examined included self-reported hypertension, diabetes mellitus, physical inactivity, current smoking status, and overweight/obesity. Multivariable logistic regression models examined the association between CV risk (we defined low, moderate, and high CV risk as having 0-1, 2-3, and 4-5 risk factors, respectively) and mHealth access/usage, adjusting for age, sex, race, education, income, etc. Analyses were stratified by age <65 and ≥65 years. Results: We included 16,092 adults (49% were male, 78% were aged <65 years, 63% were White, 45% had annual income <$50,000, 87% had at least one CV risk factor). In the full model (Table), compared to adults with low CV risk, those with moderate CV risk were more likely to use mHealth to make health decisions, OR 1.27, 95% CI (1.10-1.46), track goal progress, OR 1.22, 95% CI (1.07-1.41), share information with health providers (HP), OR 1.59, 95% CI (1.33-1.90), and discuss with HP, OR 1.27, 95% CI (1.10-1.46). Having high CV risk was associated with higher odds of mHealth access, OR 1.56, 95% CI (1.08-2.25) and using mHealth to make health decisions, OR 1.68, 95% CI (1.26-2.24), share information with HP, OR 2.55, 95% CI (1.97-3.31), and discuss with HP, OR 1.68, 95% CI (1.10-1.46). The associations remained significant among adults aged <65 years. Among adults aged ≥65 years, CV risk was only significantly related to sharing information with HP. Conclusion: Younger adults with higher CV risk were more likely to access mHealth and use mHealth to make health decisions, track goal progress, share information, and aid healthcare discussions. Our findings suggest the potential of using mHealth to facilitate CV risk reduction.

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