Published on in Vol 4, No 3 (2016): Jul-Sept

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

Journals

  1. Zhang Y, Yang N, Si G, Zhang Y, Dong Z, Huang Y, Tan X. What matters the adherence with BP 24-hr self-monitoring wearable device among hypertensive patients? A population-based survey. Translational Behavioral Medicine 2020;10(4):1053 View
  2. Gonze B, Padovani R, Simoes M, Lauria V, Proença N, Sperandio E, Ostolin T, Gomes G, Castro P, Romiti M, Gagliardi A, Arantes R, Dourado V. Use of a Smartphone App to Increase Physical Activity Levels in Insufficiently Active Adults: Feasibility Sequential Multiple Assignment Randomized Trial (SMART). JMIR Research Protocols 2020;9(10):e14322 View
  3. Yingling L, Mitchell V, Ayers C, Peters-Lawrence M, Wallen G, Brooks A, Troendle J, Adu-Brimpong J, Thomas S, Henry J, Saygbe J, Sampson D, Johnson A, Graham A, Graham L, Wiley K, Powell-Wiley T. Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment. Translational Behavioral Medicine 2017;7(4):719 View
  4. Swartz M, Lewis Z, Swartz M, Martinez E, Lyons E. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2019;38(7):1023 View
  5. Liu L, Wei K, Zhang X, Wen D, Gao L, Lei J. The Current Status and a New Approach for Chinese Doctors to Obtain Medical Knowledge Using Social Media: A Study of WeChat. Wireless Communications and Mobile Computing 2018;2018:1 View
  6. Girginov V, Moore P, Olsen N, Godfrey T, Cooke F, Lu Z. Wearable technology-stimulated social interaction for promoting physical activity: A systematic review. Cogent Social Sciences 2020;6(1) View
  7. Friel C, Garber C. Who Uses Wearable Activity Trackers and Why? A Comparison of Former and Current Users in the United States. American Journal of Health Promotion 2020;34(7):762 View
  8. Ehn M, Eriksson L, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34 View
  9. Seah M, Koh K. The efficacy of using mobile applications in changing adolescent girls’ physical activity behaviour during weekends. European Physical Education Review 2021;27(1):113 View
  10. Zhang Y, Fang Y, Xu Y, Xiong P, Zhang J, Yang J, Ran L, Tan X. Adherence with blood pressure monitoring wearable device among the elderly with hypertension: The case of rural China. Brain and Behavior 2020;10(6) View
  11. Tong H, Coiera E, Laranjo L. Using a Mobile Social Networking App to Promote Physical Activity: A Qualitative Study of Users’ Perspectives. Journal of Medical Internet Research 2018;20(12):e11439 View
  12. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2022;41(2):242 View
  13. Maher C, Ryan J, Ambrosi C, Edney S. Users’ experiences of wearable activity trackers: a cross-sectional study. BMC Public Health 2017;17(1) View
  14. Laranjo L, Quiroz J, Tong H, Arevalo Bazalar M, Coiera E. A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. Journal of Medical Internet Research 2020;22(12):e19991 View
  15. Fox G, Clohessy T, van der Werff L, Rosati P, Lynn T. Exploring the competing influences of privacy concerns and positive beliefs on citizen acceptance of contact tracing mobile applications. Computers in Human Behavior 2021;121:106806 View
  16. Lao C, Wang B, Wang R, Chang H. The Combined Effects of Sports Smart Bracelet and Multi-Component Exercise Program on Exercise Motivation among the Elderly in Macau. Medicina 2021;57(1):34 View
  17. Chamorro-Koc M, Peake J, Meek A, Manimont G. Self-efficacy and trust in consumers' use of health-technologies devices for sports. Heliyon 2021;7(8):e07794 View
  18. Goswami A, Poole L, Thorlu-Bangura Z, Khan N, Hanif W, Khunti K, Gill P, Sajid M, Blandford A, Stevenson F, Banerjee A, Ramasawmy M. The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review. Journal of Medical Internet Research 2023;25:e40630 View
  19. Yu S, Chen Z, Wu X. The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2023;20(1):887 View
  20. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
  21. Luo X, Zhao H, Chen Y, Ahmed S. Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network. Computational Intelligence and Neuroscience 2022;2022:1 View
  22. Pennington N, Dam L. Social interaction, support preferences, and the use of wearable health trackers. Frontiers in Communication 2023;8 View
  23. Kettunen E, Kari T, Critchley W, Frank L. Critical experiences with sport and wellness technology digital coach – differences between young adults and young elderly. Behaviour & Information Technology 2023:1 View

Books/Policy Documents

  1. Domínguez-Miranda S, Rodríguez-Aguilar R. Computer Science and Engineering in Health Services. View