title: A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research.
abstract: Smartphone lifestyle applications (apps) and wearable fitness-tracking devices collect a wealth of data that could provide research insights to support prevention and treatment of obesity and chronic diseases. The aim of this study was to pilot a survey to explore patterns of behavioral tracking using smartphone lifestyle apps and individuals' willingness to share their app-generated data.
  
  
  
  A cross-sectional Web-based survey was conducted within a university setting. The 35-item survey asked participants about their self-tracking patterns; use of lifestyle apps and wearable devices; how their self-tracked health data could be useful to them; and any restrictions they would impose on sharing personal data. Responses were tabulated and analyzed for trends.
  
  
  
  The survey was completed by 101 participants. On average, 3.1 (standard deviation [SD] ±1.9) health and fitness apps were installed by current app users (n = 85), with MyFitnessPal, MapMyRun, Nike+, and Fitbit being most popular. Most participants were willing to share their personal health data for research (77%). Those who did not normally share their health-tracking data were more likely than sharers to be concerned about privacy (odds ratio [OR] = 5.93; 95% confidence interval [95% CI] = 2.09-16.78), as were those not identifying with the quantified-self movement compared with those who were (OR = 5.04; 95% CI = 1.64-15.50).
  
  
  
  Participants were generally willing to share personal data, thus increasing the potential for these data to inform public health research and for use in targeted personalized program and intervention development.
  
  
  
  Opportunities for partnerships between researchers and commercial app developers or industry could improve public health research and practice.
authors.affiliation: 1 School of Molecular Bioscience, Charles Perkins Centre, The University of Sydney , Sydney, Australia .
authors.forename: Juliana
authors.initials: J
authors.lastname: Chen
authors.affiliation: 2 School of Public Health, Charles Perkins Centre, The University of Sydney , Sydney, Australia .
authors.forename: Adrian
authors.initials: A
authors.lastname: Bauman
authors.affiliation: 1 School of Molecular Bioscience, Charles Perkins Centre, The University of Sydney , Sydney, Australia .
authors.forename: Margaret
authors.initials: M
authors.lastname: Allman-Farinelli
mesh_terms: D056044:Actigraphy / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D003219:Confidentiality; D003430:Cross-Sectional Studies; D005260:Female; D015438:Health Behavior; D064368:Healthy Volunteers / Q000523:psychology*; D006801:Humans; D008019:Life Style; D008297:Male; D063731:Mobile Applications / Q000706:statistics & numerical data*; D012106:Research / Q000458:organization & administration*; D000068997:Smartphone; D012959:Socioeconomic Factors; D055815:Young Adult
keywords: apps; data access; data sharing; m-health; public health; smartphone