Your browser doesn't support javascript.
loading
A cross-sectional study of physical activity participation among adults with chronic conditions participating in a digital health program.
Smith-Ray, Renae L; Nikzad, Nima; Singh, Tanya; Jiang, Jenny Z; Taitel, Michael S; Quer, Giorgio; Cherry, Jean; Steinhubl, Steven R.
Afiliación
  • Smith-Ray RL; Walgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
  • Nikzad N; Department of Digital Medicine, Scripps Translational Science Institute, La Jolla, California, USA.
  • Singh T; Experian DataLabs, San Diego, California, USA.
  • Jiang JZ; Walgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
  • Taitel MS; Walgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
  • Quer G; Walgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
  • Cherry J; Department of Digital Medicine, Scripps Translational Science Institute, La Jolla, California, USA.
  • Steinhubl SR; Walgreens Center for Health and Wellbeing Research, Walgreen Co., Deerfield, Illinois, USA.
Digit Health ; 5: 2055207619880986, 2019.
Article en En | MEDLINE | ID: mdl-35173975
OBJECTIVE: Many American adults are insufficiently active. Digital health programs are designed to motivate this population to engage in regular physical activity and often rely on wearable devices and apps to objectively measure physical activity for a large number of participants. The purpose of this epidemiological study was to analyze the rates of physical activity among participants in a digital health program. METHOD: We conducted a cross-sectional study of participants enrolled in a digital health program between January 2014 and December 2016. All activity data were objectively collected through wearable devices. RESULTS: Participants (n = 241,013) were on average 39.7 years old and 65.7% were female. Participants walked on average 3.72 miles per day. Overall, 5.3% and 21.8% of participants were being treated with diabetes and cardiovascular medications respectively, but these rates varied across young, middle and older adults. Participants of all ages being treated with cardiovascular and/or diabetes medications walked significantly less than those not being treated for these conditions. CONCLUSION: The feasibility of using a large database containing data from consumer-grade activity trackers was demonstrated through this epidemiological study of physical activity rates across age and condition status of participants. The approach and findings described may inform future research as the information age brings about new opportunities to manage and study massive amounts of data generated by connected devices.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies Idioma: En Revista: Digit Health Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies Idioma: En Revista: Digit Health Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos