%0 Journal Article
%T Mobile Health Fitness Interventions: Impact of Features on Routine Use and Data Sharing Acceptability.
%A Razaghizad A
%A McKee T
%A Malhamé I
%A Friedrich MG
%A Giannetti N
%A Coristine A
%A Johnson A
%A Ashley EA
%A Hershman SG
%A Struck B
%A Krastev S
%A Pilat D
%A Sharma A
%J JACC Adv
%V 2
%N 8
%D 2023 Oct
%M 38938369
暂无%R 10.1016/j.jacadv.2023.100613
%X <B>UNASSIGNED: </B>Mobile health (mHealth) interventions are increasingly being used for cardiovascular research and physical activity promotion.<BR><B>UNASSIGNED: </B>As a result, the authors aimed to evaluate which features facilitate and impede routine engagement with mobile fitness applications.<BR><B>UNASSIGNED: </B>We distributed a pan-Canadian online questionnaire via the behavioral research platform Prolific.co to evaluate what features are associated with the use and routine engagement (ie, daily or weekly use) of mHealth fitness applications and attitudes about data sharing. Binary logistic regression was used to quantify the association between these endpoints and exploratory factors such as the perceived utility of various mHealth application features.<BR><B>UNASSIGNED: </B>The survey received 694 responses. Most people were women (62%), the median age was 28 years (range: 18-78 years), and most people reported current use of an mHealth fitness application (48%). The perceived importance of personal health (OR: 2.40; 95% CI: 1.34-4.50) was the factor most associated with the current use of an mHealth fitness application. The feature most associated with routine engagement was the ability to track progress toward a goal (OR: 5.10; 95% CI: 2.73-9.61) while the most significant barrier was the absence of goal customization features (OR: 0.44; 95% CI: 0.25-0.81). The acceptance of sharing health data for research was high (56%), and privacy concerns did not significantly affect routine engagement (OR: 0.81; 95% CI: 0.40-1.77). Results were consistent across race and gender.<BR><B>UNASSIGNED: </B>mHealth interventions have the potential to be scaled across populations. Optimizing applications to improve self-monitoring and personalization could increase routine engagement and, thus, user retention and intervention effectiveness.