Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31352, first published .
The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial

The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial

The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial

Journals

  1. Natalucci V, Marmondi F, Biraghi M, Bonato M. The Effectiveness of Wearable Devices in Non-Communicable Diseases to Manage Physical Activity and Nutrition: Where We Are?. Nutrients 2023;15(4):913 View
  2. Alley S, Schoeppe S, To Q, Parkinson L, van Uffelen J, Hunt S, Duncan M, Schneiders A, Vandelanotte C. Engagement, acceptability, usability and satisfaction with Active for Life, a computer-tailored web-based physical activity intervention using Fitbits in older adults. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  3. Ma X, Cheung Y. Novel 3-arm wait-list controlled trial designs together with mixed-effects analysis improve precision of treatment effect estimators. Journal of Biopharmaceutical Statistics 2023:1 View
  4. Kim H, Kim G, Kim Y, Ha J, Seixas A. The Effects of ICT-Based Interventions on Physical Mobility of Older Adults: A Systematic Literature Review and Meta-Analysis. International Journal of Clinical Practice 2023;2023:1 View
  5. Peiris D, Duan Y, Vandelanotte C, Liang W, Baker J, Popovic S. Identifying opportunity, capability and motivation of Sri Lankan 5th grade schoolteachers to implement in-classroom physical activity breaks: A qualitative study. PLOS ONE 2023;18(7):e0288916 View
  6. Vandelanotte C, Trost S, Hodgetts D, Imam T, Rashid M, To Q, Maher C. Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. Journal of Biomedical Informatics 2023;144:104435 View
  7. Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong S. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47987 View
  8. Buchan D. Comparison of Sleep and Physical Activity Metrics From Wrist-Worn ActiGraph wGT3X-BT and GT9X Accelerometers During Free-Living in Adults. Journal for the Measurement of Physical Behaviour 2024;7(1) View
  9. Alley S, Schoeppe S, Moore H, To Q, van Uffelen J, Parker F, Duncan M, Schneiders A, Vandelanotte C. The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults. Journal of Health Psychology 2024 View
  10. Rauzi M, Tran M, Plew J, Christiansen C, Mealer M, Nearing K, Stevens-Lapsley J. Older veteran experiences of using technology during a multicomponent telerehabilitation program: a convergent mixed methods study. Cogent Gerontology 2024;3(1) View

Books/Policy Documents

  1. Richiardi L, Pizzi C, Paolotti D, Blumenberg C. Handbook of Epidemiology. View