An evaluation of mHealth adoption and health self-management in emerging adulthood.

This study offers a description of factors that predict the adoption of mobile health technologies (mHealth) and their application for health self-management in emerging adults. Primary data collection occurred at three diverse postsecondary educational institutions (N= 1,329). The analysis used a logistic regression to identify predictors of mHealth adoption. Descriptive analyses are presented on health self-management applications and perceived ease of use and effectiveness. Use of mHealth was high in respondents (58.5%). Factors associated with increased likelihood of mHealth adoption included being female, overweight or obese, having a chronic condition, eating the recommended amount of daily fruit, and engaging in regular moderate exercise. Low household income was associated with being less likely to use mHealth. The most common self-management application for mHealth was for tracking physical activity. Findings related to ease of use and effectiveness ratings by applications may provide insight into designing more effective mHealth tools in this population.

Duke Scholars

Author Connor David Drake Population Health Sciences

Author Ralph Snyderman Medicine