Published on in Vol 6, No 2 (2018): February

A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study

A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study

A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study

Journals

  1. Liu Y, Wu S, Lin S, Chen C, Lin Y, Chen H. Usability of Food Size Aids in Mobile Dietary Reporting Apps for Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14543 View
  2. Aldenaini N, Oyebode O, Orji R, Sampalli S. Mobile Phone-Based Persuasive Technology for Physical Activity and Sedentary Behavior: A Systematic Review. Frontiers in Computer Science 2020;2 View
  3. Seyyedi N, Rahimi B, Eslamlou H, Afshar H, Spreco A, Timpka T. Smartphone-Based Maternal Education for the Complementary Feeding of Undernourished Children Under 3 Years of Age in Food-Secure Communities: Randomised Controlled Trial in Urmia, Iran. Nutrients 2020;12(2):587 View
  4. Bhawra J, Skinner K. Examination of tools associated with the evaluation of knowledge uptake and utilization: A scoping review. Evaluation and Program Planning 2020;83:101875 View
  5. Yang X, Xie R, Chen S, Yu W, Liao Y, Krewski D, Wen S. Using Video Feedback Through Smartphone Instant Messaging in Fundamental Nursing Skills Teaching: Observational Study. JMIR mHealth and uHealth 2019;7(9):e15386 View
  6. Düking P, Stammel C, Sperlich B, Sutehall S, Muniz-Pardos B, Lima G, Kilduff L, Keramitsoglou I, Li G, Pigozzi F, Pitsiladis Y. Necessary Steps to Accelerate the Integration of Wearable Sensors Into Recreation and Competitive Sports. Current Sports Medicine Reports 2018;17(6):178 View
  7. Molina-Recio G, Molina-Luque R, Jiménez-García A, Ventura-Puertos P, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376 View
  8. Suen L, Wang W, Cheng K, Chua M, Yeung J, Koh W, Yeung S, Ho J. Self-Administered Auricular Acupressure Integrated With a Smartphone App for Weight Reduction: Randomized Feasibility Trial. JMIR mHealth and uHealth 2019;7(5):e14386 View
  9. Stephenson A, Garcia-Constantino M, McDonough S, Murphy M, Nugent C, Mair J. Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour. DIGITAL HEALTH 2020;6:205520762091341 View
  10. Sousa P, Martinho R, Reis C, Dias S, Gaspar P, Dixe M, Luis L, Ferreira R. Controlled trial of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower): Effectiveness analysis. Journal of Advanced Nursing 2020;76(4):1057 View
  11. Brown J, Savaglio R, Watson G, Kaplansky A, LeSage A, Hughes J, Kapralos B, Arcand J. Optimizing Child Nutrition Education With the Foodbot Factory Mobile Health App: Formative Evaluation and Analysis. JMIR Formative Research 2020;4(4):e15534 View
  12. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10003 View
  13. Buckingham S, Williams A, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988 View
  14. Nicholas J, Ntoumanis N, Smith B, Quested E, Stamatakis E, Thøgersen-Ntoumani C. Development and feasibility of a mobile phone application designed to support physically inactive employees to increase walking. BMC Medical Informatics and Decision Making 2021;21(1) View
  15. Breathnach S, Llewellyn C, Koutoukidis D, van Rugge C, Sutherland A, Lally P. Experience of Using an Online Pre-Ordering System for A Workplace Canteen That Offers Lower-Energy Swaps: A Think-Aloud Study. Nutrients 2020;12(12):3878 View
  16. Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
  17. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  18. Mclaughlin M, Duff J, McKenzie T, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Evaluating Digital Program Support for the Physical Activity 4 Everyone (PA4E1) School Program: Mixed Methods Study. JMIR Pediatrics and Parenting 2021;4(3):e26690 View

Books/Policy Documents

  1. Sari H, Othman M, Al-Ghaili A. Recent Trends in Data Science and Soft Computing. View
  2. Ofori M, El-Gayar O. Optimizing Health Monitoring Systems With Wireless Technology. View