This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3299) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493)

Published on in Vol 17, No 7 (2015): July

Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia

Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia

Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia

Authors of this article:

Diana Guertler1, 2, 3 Author Orcid Image ;   Corneel Vandelanotte2 Author Orcid Image ;   Morwenna Kirwan4 Author Orcid Image ;   Mitch J Duncan2, 5 Author Orcid Image
Article Authors Cited by (99) Tweetations (9) Metrics

Journals

  1. Billmann M, Böhm M, Krcmar H. Use of workplace health promotion apps: Analysis of employee log data. Health Policy and Technology 2020;9(3):285 View
  2. Meyerowitz-Katz G, Ravi S, Arnolda L, Feng X, Maberly G, Astell-Burt T. Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(9):e20283 View
  3. Short C, Rebar A, James E, Duncan M, Courneya K, Plotnikoff R, Crutzen R, Vandelanotte C. How do different delivery schedules of tailored web-based physical activity advice for breast cancer survivors influence intervention use and efficacy?. Journal of Cancer Survivorship 2017;11(1):80 View
  4. Taki S, Lymer S, Russell C, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89 View
  5. Swann C, Hooper A, Schweickle M, Peoples G, Mullan J, Hutto D, Allen M, Vella S. Comparing the effects of goal types in a walking session with healthy adults: Preliminary evidence for open goals in physical activity. Psychology of Sport and Exercise 2020;47:101475 View
  6. Sun Y, Wang A, Yu S, Hagger M, Chen X, Fong S, Zhang C, Huang W, Baker J, Dutheil F, Gao Y. A blended intervention to promote physical activity, health and work productivity among office employees using intervention mapping: a study protocol for a cluster-randomized controlled trial. BMC Public Health 2020;20(1) View
  7. Duncan M, Rosenkranz R, Vandelanotte C, Caperchione C, Rebar A, Maeder A, Tague R, Savage T, van Itallie A, Mummery W, Kolt G. What is the impact of obtaining medical clearance to participate in a randomised controlled trial examining a physical activity intervention on the socio-demographic and risk factor profiles of included participants?. Trials 2016;17(1) View
  8. Murawski B, Plotnikoff R, Rayward A, Vandelanotte C, Brown W, Duncan M. Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the Synergy Study protocol. BMJ Open 2018;8(2):e018997 View
  9. Edney S, Ryan J, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(11):e14645 View
  10. Rayward A, Vandelanotte C, Corry K, Van Itallie A, Duncan M. Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program. International Journal of Environmental Research and Public Health 2019;16(24):5076 View
  11. Murawski B, Plotnikoff R, Rayward A, Oldmeadow C, Vandelanotte C, Brown W, Duncan M. Efficacy of an m-Health Physical Activity and Sleep Health Intervention for Adults: A Randomized Waitlist-Controlled Trial. American Journal of Preventive Medicine 2019;57(4):503 View
  12. Stowell E, Zhang Y, Castaneda-Sceppa C, Lachman M, Parker A. Caring for Alzheimer's Disease Caregivers. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  13. Kim T, Lee Y, Yu E, Kim M, Yang S, Hur Y, Kang J. Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors. Nutrition Research and Practice 2019;13(6):509 View
  14. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802 View
  15. Hunter R, Gough A, Murray J, Tang J, Brennan S, Chrzanowski-Smith O, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully M, French D, Adams J, McIntosh E, Xin Y, Kee F. A loyalty scheme to encourage physical activity in office workers: a cluster RCT. Public Health Research 2019;7(15):1 View
  16. Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572 View
  17. Schweier R, Romppel M, Richter C, Grande G. Dissemination strategies and adherence predictors for web-based interventions—how efficient are patient education sessions and email reminders?. Health Education Research 2016;31(3):384 View
  18. Rispler C, Luria G. Employee perseverance in a “no phone use while driving” organizational road-safety intervention. Accident Analysis & Prevention 2020;144:105689 View
  19. Vandelanotte C, Kolt G, Caperchione C, Savage T, Rosenkranz R, Maeder A, Van Itallie A, Tague R, Oldmeadow C, Mummery W, Duncan M. Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial. Journal of Medical Internet Research 2017;19(11):e390 View
  20. Mizdrak A, Telfer K, Direito A, Cobiac L, Blakely T, Cleghorn C, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014 View
  21. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  22. 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
  23. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394 View
  24. Rayward A, Murawski B, Plotnikoff R, Vandelanotte C, Brown W, Holliday E, Duncan M. A randomised controlled trial to test the efficacy of an m-health delivered physical activity and sleep intervention to improve sleep quality in middle-aged adults: The Refresh Study Protocol. Contemporary Clinical Trials 2018;73:36 View
  25. Taki S, Russell C, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10 View
  26. Boekhout J, Peels D, Berendsen B, Bolman C, Lechner L. A Web-Based and Print-Delivered Computer-Tailored Physical Activity Intervention for Older Adults: Pretest-Posttest Intervention Study Comparing Delivery Mode Preference and Attrition. Journal of Medical Internet Research 2019;21(8):e13416 View
  27. Kerr D, Ornelas I, Lilly M, Calhoun R, Meischke H. Participant Engagement in and Perspectives on a Web-Based Mindfulness Intervention for 9-1-1 Telecommunicators: Multimethod Study. Journal of Medical Internet Research 2019;21(6):e13449 View
  28. Joseph-Shehu E, Ncama B, Mooi N, Mashamba-Thompson T. The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review. BMJ Open 2019;9(10):e029872 View
  29. Adu M, Malabu U, Malau-Aduli A, Malau-Aduli B. The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. Scientific Reports 2020;10(1) View
  30. Muir S, Silva S, Woldegiorgis M, Rider H, Meyer D, Jayawardana M. Predictors of Success of Workplace Physical Activity Interventions: A Systematic Review. Journal of Physical Activity and Health 2019;16(8):647 View
  31. Hochheimer C, Sabo R, Krist A, Day T, Cyrus J, Woolf S. Methods for Evaluating Respondent Attrition in Web-Based Surveys. Journal of Medical Internet Research 2016;18(11):e301 View
  32. Vandelanotte C, Short C, Plotnikoff R, Hooker C, Canoy D, Rebar A, Alley S, Schoeppe S, Mummery W, Duncan M. TaylorActive – Examining the effectiveness of web-based personally-tailored videos to increase physical activity: a randomised controlled trial protocol. BMC Public Health 2015;15(1) View
  33. Boekhout J, Berendsen B, Peels D, Bolman C, Lechner L. Evaluation of a Computer-Tailored Healthy Ageing Intervention to Promote Physical Activity among Single Older Adults with a Chronic Disease. International Journal of Environmental Research and Public Health 2018;15(2):346 View
  34. Amoakoh H, Klipstein-Grobusch K, Grobbee D, Amoakoh-Coleman M, Oduro-Mensah E, Sarpong C, Frimpong E, Kayode G, Agyepong I, Ansah E. Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs. JMIR mHealth and uHealth 2019;7(5):e12879 View
  35. Zeng E, Heffner J, Copeland W, Mull K, Bricker J. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120 View
  36. Rayward A, Plotnikoff R, Murawski B, Vandelanotte C, Brown W, Holliday E, Duncan M. Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial. Annals of Behavioral Medicine 2020;54(7):470 View
  37. Kolt G, Rosenkranz R, Vandelanotte C, Caperchione C, Maeder A, Tague R, Savage T, Van I, Mummery W, Oldmeadow C, Duncan M. Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial. British Journal of Sports Medicine 2017;51(19):1433 View
  38. Arena R, Sagner M, Byrne N, Williams A, McNeil A, Street S, Hills A. Novel approaches for the promotion of physical activity and exercise for prevention and management of type 2 diabetes. European Journal of Clinical Nutrition 2017;71(7):858 View
  39. Ryan C, Bergin M, Wells J. Theoretical Perspectives of Adherence to Web-Based Interventions: a Scoping Review. International Journal of Behavioral Medicine 2018;25(1):17 View
  40. Wurst R, Maliezefski A, Ramsenthaler C, Brame J, Fuchs R. Effects of Incentives on Adherence to a Web-Based Intervention Promoting Physical Activity: Naturalistic Study. Journal of Medical Internet Research 2020;22(7):e18338 View
  41. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44 View
  42. Druce K, McBeth J, van der Veer S, Selby D, Vidgen B, Georgatzis K, Hellman B, Lakshminarayana R, Chowdhury A, Schultz D, Sanders C, Sergeant J, Dixon W. Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study. JMIR mHealth and uHealth 2017;5(11):e168 View
  43. Lumsden J, Skinner A, Coyle D, Lawrence N, Munafo M. Attrition from Web-Based Cognitive Testing: A Repeated Measures Comparison of Gamification Techniques. Journal of Medical Internet Research 2017;19(11):e395 View
  44. Duncan M, Brown W, Burrows T, Collins C, Fenton S, Glozier N, Kolt G, Morgan P, Hensley M, Holliday E, Murawski B, Plotnikoff R, Rayward A, Stamatakis E, Vandelanotte C. Examining the efficacy of a multicomponent m-Health physical activity, diet and sleep intervention for weight loss in overweight and obese adults: randomised controlled trial protocol. BMJ Open 2018;8(10):e026179 View
  45. 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
  46. Topothai T, Suphanchaimat R, Tangcharoensathien V, Putthasri W, Sukaew T, Asawutmangkul U, Topothai C, Piancharoen P, Piyathawornanan C. Daily Step Counts from the First Thailand National Steps Challenge in 2020: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(22):8433 View
  47. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687 View
  48. To Q, Duncan M, Van Itallie A, Vandelanotte C. Impact of COVID-19 on Physical Activity Among 10,000 Steps Members and Engagement With the Program in Australia: Prospective Study. Journal of Medical Internet Research 2021;23(1):e23946 View
  49. Wall H, Magnusson K, Berman A, Bewick B, Hellner C, Jayaram-Lindström N, Rosendahl I. Evaluation of a Brief Online Self-help Program for Concerned Gamblers. Journal of Gambling Studies 2021;37(4):1277 View
  50. Höchli B, Brügger A, Messner C. Exploring the influence of goals at different levels of abstraction on self-reported and electronically measured exercise frequency: an experimental field study. International Journal of Sport and Exercise Psychology 2022;20(2):474 View
  51. Sweeney L, Moss-Morris R, Czuber-Dochan W, Norton C. Pain management in inflammatory bowel disease: feasibility of an online therapist-supported CBT-based self-management intervention. Pilot and Feasibility Studies 2021;7(1) View
  52. Mönninghoff A, Kramer J, Hess A, Ismailova K, Teepe G, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Long-term Effectiveness of mHealth Physical Activity Interventions: Systematic Review and Meta-analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2021;23(4):e26699 View
  53. Rayward A, Vandelanotte C, Van Itallie A, Duncan M. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151 View
  54. Schulze C, Bucksch J, Demetriou Y, Emmerling S, Linder S, Reimers A. Considering sex/gender in interventions to promote children’s and adolescents’ leisure-time physical activity: a systematic review and meta-analysis. Journal of Public Health 2022;30(11):2547 View
  55. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  56. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  57. Yao J, Lim N, Tan J, Matthias Müller A, Martinus van Dam R, Chen C, Tan C, Müller‐Riemenschneider F. Evaluation of a Population‐Wide Mobile Health Physical Activity Program in 696 907 Adults in Singapore. Journal of the American Heart Association 2022;11(12) View
  58. Vandelanotte C, Hooker C, Van Itallie A, Urooj A, Duncan M, Rowe R. Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study. PLOS ONE 2022;17(10):e0274975 View
  59. Vandelanotte C, Duncan M, Plotnikoff R, Rebar A, Alley S, Schoeppe S, To Q, Mummery W, Short C. Impact of a web-based personally tailored physical activity intervention on depression, anxiety, stress and quality of life: Secondary outcomes from a randomized controlled trial. Mental Health and Physical Activity 2022;23:100477 View
  60. Dalayya S, Elsaid S, Ng K, Song T, Lim J, Yan Z. Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients. Human Behavior and Emerging Technologies 2023;2023:1 View
  61. Lakshminarayanan R, Canori A, Ponnada A, Nunn M, Read M, Hiremath S, Intille S. Exploring Opportunities to Improve Physical Activity in Individuals with Spinal Cord Injury Using Context-Aware Messaging. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  62. Idris M, Mubasher M, Alema-Mensah E, Awad C, Vordzorgbe K, Ofili E, Ali Quyyumi A, Pemu P, Mordaunt D. The law of non-usage attrition in a technology-based behavioral intervention for black adults with poor cardiovascular health. PLOS Digital Health 2022;1(10):e0000119 View
  63. Jossa-Bastidas O, Zahia S, Fuente-Vidal A, Sánchez Férez N, Roda Noguera O, Montane J, Garcia-Zapirain B. Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach. International Journal of Environmental Research and Public Health 2021;18(20):10769 View
  64. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246 View
  65. Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404 View
  66. Mat Said Z, Musa K, Tengku Ismail T, Abdul Hamid A, Sahathevan R, Abdul Aziz Z, Feigin V. The Effectiveness of Stroke Riskometer™ in Improving Stroke Risk Awareness in Malaysia: A Study Protocol of a Cluster-Randomized Controlled Trial. Neuroepidemiology 2021;55(6):436 View
  67. Tung C, Chang C, Jian J, Du Y, Wu C. Studying wearable health technology in the workplace using the Behavior Change Wheel: a systematic literature review and content analysis. Informatics for Health and Social Care 2022;47(4):434 View
  68. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  69. Gorny A, Chee W, Müller-Riemenschneider F. Active Use and Engagement in an mHealth Initiative Among Young Men With Obesity: Mixed Methods Study. JMIR Formative Research 2022;6(1):e33798 View
  70. Pontin F, Lomax N, Clarke G, Morris M. Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. International Journal of Environmental Research and Public Health 2021;18(21):11476 View
  71. Willms A, Rhodes R, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e36562 View
  72. Peters M, Ratz T, Wichmann F, Lippke S, Voelcker-Rehage C, Pischke C. Ecological Predictors of Older Adults’ Participation and Retention in a Physical Activity Intervention. International Journal of Environmental Research and Public Health 2022;19(6):3190 View
  73. Fuente-Vidal A, Guerra-Balic M, Roda-Noguera O, Jerez-Roig J, Montane J. Adherence to eHealth-Delivered Exercise in Adults with no Specific Health Conditions: A Scoping Review on a Conceptual Challenge. International Journal of Environmental Research and Public Health 2022;19(16):10214 View
  74. Greco G, Poli L, Clemente F, Francesco F, Cataldi S, Maugeri A. The Effectiveness of New Digital Technologies in Increasing Physical Activity Levels and Promoting Active and Healthy Ageing: A Narrative Review. Health & Social Care in the Community 2023;2023:1 View
  75. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  76. Sun Y, Gao Y, Yu S, Wang A, Ou X, Tao D, Baker J. Promoting Physical Activity among Workers: A Review of Literature and Future Directions on Developing Theory-Based Interventions. International Journal of Environmental Research and Public Health 2022;19(20):13594 View
  77. Hallam K, Peeters A, Gupta A, Bilsborough S. Moving minds: Mental health and wellbeing benefits of a 50-day workplace physical activity program. Current Psychology 2023;42(15):13038 View
  78. Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. Frontiers in Clinical Diabetes and Healthcare 2022;3 View
  79. Lugones-Sanchez C, Recio-Rodriguez J, Agudo-Conde C, Repiso-Gento I, G Adalia E, Ramirez-Manent J, Sanchez-Calavera M, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e30416 View
  80. Schroé H, Crombez G, De Bourdeaudhuij I, Van Dyck D. Investigating When, Which, and Why Users Stop Using a Digital Health Intervention to Promote an Active Lifestyle: Secondary Analysis With A Focus on Health Action Process Approach–Based Psychological Determinants. JMIR mHealth and uHealth 2022;10(1):e30583 View
  81. Hohberg V, Fuchs R, Gerber M, Künzler D, Paganini S, Faude O. Blended Care Interventions to Promote Physical Activity: A Systematic Review of Randomized Controlled Trials. Sports Medicine - Open 2022;8(1) View
  82. Reinhardt G, Timpel P, Schwarz P, Harst L. Long-Term Effects of a Video-Based Smartphone App (“VIDEA Bewegt”) to Increase the Physical Activity of German Adults: A Single-Armed Observational Follow-Up Study. Nutrients 2021;13(12):4215 View
  83. Duncan M, Brown W, Mummery W, Vandelanotte C. 10,000 Steps Australia: a community-wide eHealth physical activity promotion programme. British Journal of Sports Medicine 2018;52(14):885 View
  84. Willms A, Rhodes R, Liu S. The Development of a Hypertension Prevention and Financial-Incentive mHealth Program Using a “No-Code” Mobile App Builder: Development and Usability Study. JMIR Formative Research 2023;7:e43823 View
  85. Blackman A, Hoffmann B. Breathe Easy, There's an App for that: Using Information and Communication Technology to Avoid Air Pollution in Bogotá. SSRN Electronic Journal 2022 View
  86. Tobin M, Jones T, Ho Y, Short C. Using photovoice to explore young women’s experiences of behaviour change techniques in physical activity mobile apps. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1) View
  87. Marziliano A, Miller S, Fleisher L, Ropka M, Stanton A, Wen K, Cornelius T, Lapitan E, Diefenbach M. Examining the impact of a multimedia intervention on decisional conflict and psychological distress among early-stage breast cancer patients: results from a nationwide RCT. Translational Behavioral Medicine 2023;13(10):727 View
  88. Kim H, Lee J. mHealth Interventions to Promote Physical Activity of Adults in Korea: Health Equity-Focused Systematic Review. Journal of Health Informatics and Statistics 2023;48(Suppl 1):S1 View
  89. Schweitzer R, Schlögl S, Schweitzer M. Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development. European Journal of Investigation in Health, Psychology and Education 2024;14(3):584 View
  90. Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe A. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024;12:e17100 View
  91. Vandelanotte C, Short C, Plotnikoff R, Schoeppe S, Alley S, To Q, Rebar A, Duncan M. Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?—Secondary outcomes from a randomised controlled trial. Frontiers in Digital Health 2024;6 View
  92. Fundoiano-Hershcovitz Y, Breuer Asher I, Kantor H, Rahmon S, Ritholz M, Horwitz D, Manejwala O, Goldstein P. Walking away from depression: the mediating role of walking activity in depression impacting blood glucose levels of people with diabetes or prediabetes. Frontiers in Endocrinology 2024;15 View
  93. Vermeir J, White M, Johnson D, Crombez G, Van Ryckeghem D. Gamified Web-Delivered Attentional Bias Modification Training for Adults with Chronic Pain: A Randomised, Double-Blind, Placebo-Controlled Trial (Preprint). JMIR Serious Games 2023 View
  94. Siette J, Hope E, Karamacoska D, Jacobs R, Catanzaro M. Effectiveness of an interactive brain health campaign on motivation for dementia risk reduction: a pretest–posttest evaluation. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Nuryan Dehkordi F, Breitschwerdt R, Fellmann M. Exploring Services Science. View
  2. Rovniak L, King A. Walking. View
  3. Dehkordi F, Fellmann M, Breitschwerdt R. Perspectives in Business Informatics Research. View
  4. De Croon R, Geuens J, Verbert K, Vanden Abeele V. HCI in Games: Experience Design and Game Mechanics. View
  5. Junker M, Böhm M, Edwards F, Krcmar H. Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce. View