Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review
By Judit Bort-Roig, N. Gilson, A. Puig-Ribera, R. Contreras, Stewart G. Trost. Sports Medicine, 2014
562 citations recorded by the source corpus.
Subfields: General Health Professions, Physiology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/720a3d1c6b03c47be75ce180a108208b36587072
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- J. Higgins
Citations in the corpus
- Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System (2016, unknown): “In the last decade, there have been multiple studies of mobile phone interventions using short message service (SMS) messages to improve health-related behaviors (reviewed in De Jongh et al [7]), and there are several previous studies that have tried to assess the effect of mobile phone apps in enco”
- Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review (2016, unknown): “pediatric health behaviour change programs [12].”
- Smartphone Applications for Patients' Health and Fitness. (2016, background): “Smartphone technology, including the Global Positioning System, accelerometer, microphone, speaker, and camera, has average-toexcellent accuracy to measure a range of physical activities and can generally differentiate static activities, stair use, cycling, walking, and running.(19) This technology ”