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Published on 09.02.16 in Vol 18, No 2 (2016): February

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

Works citing "Effectiveness of an Activity Tracker- and Internet-Based Adaptive Walking Program for Adults: A Randomized Controlled Trial"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5295):

(note that this is only a small subset of citations)

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  16. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64
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  21. Richardson AS, Chen C, Sturm R, Azhar G, Miles J, Larkin J, Motala A, Hempel S. Obesity Prevention Interventions and Implications for Energy Balance in the United States and Mexico: A Systematic Review of the Evidence and Meta‐Analysis. Obesity 2019;27(9):1390
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  23. Adams MA, Hurley JC, Todd M, Bhuiyan N, Jarrett CL, Tucker WJ, Hollingshead KE, Angadi SS. Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults’ physical activity. BMC Public Health 2017;17(1)
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  24. Lim BY, Kay J, Liu W. How Does a Nation Walk?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(2):1
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  26. Brakenridge CL, Fjeldsoe BS, Young DC, Winkler EAH, Dunstan DW, Straker LM, Healy GN. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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  28. Middelweerd A, te Velde SJ, Mollee JS, Klein MC, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185
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  29. Shrestha N, Kukkonen-Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews 2018;2018(12)
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  30. Rice L, Sara R. Updating the determinants of health model in the Information Age. Health Promotion International 2019;34(6):1241
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  31. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
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  32. Wu HS, Gal R, van Sleeuwen NC, Brombacher AC, IJsselsteijn WA, May AM, Monninkhof EM. Breast Cancer Survivors’ Experiences With an Activity Tracker Integrated Into a Supervised Exercise Program: Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e10820
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  33. Buckingham SA, Williams AJ, 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
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  34. Korinek EV, Phatak SS, Martin CA, Freigoun MT, Rivera DE, Adams MA, Klasnja P, Buman MP, Hekler EB. Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. Journal of Behavioral Medicine 2018;41(1):74
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  35. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125
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  36. Dijkhuis TB, Blaauw FJ, van Ittersum MW, Velthuijsen H, Aiello M. Personalized Physical Activity Coaching: A Machine Learning Approach. Sensors 2018;18(2):623
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  37. Tang MSS, Moore K, McGavigan A, Clark RA, Ganesan AN. Effectiveness of Wearable Trackers on Physical Activity in Healthy Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(7):e15576
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  38. Kunkle S, Christie G, Hajat C, Yach D. The Role of the Private Sector in Tilting Health Systems Toward Chronic Disease Prevention. Global Heart 2016;11(4):451
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  39. Bender MS, Cooper BA, Park LG, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30
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  40. Shrestha N, Kukkonen-Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database of Systematic Reviews 2018;
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  41. Ceasar JN, Claudel SE, Andrews MR, Tamura K, Mitchell V, Brooks AT, Dodge T, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Troncoso M, Wallen GR, Powell-Wiley TM. Community Engagement in the Development of an mHealth-Enabled Physical Activity and Cardiovascular Health Intervention (Step It Up): Pilot Focus Group Study. JMIR Formative Research 2019;3(1):e10944
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  42. Adams MA, Hurley JC, Phillips CB, Todd M, Angadi SS, Berardi V, Hovell MF, Hooker S. Rationale, design, and baseline characteristics of WalkIT Arizona: A factorial randomized trial testing adaptive goals and financial reinforcement to increase walking across higher and lower walkable neighborhoods. Contemporary Clinical Trials 2019;81:87
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  43. Eijsvogels TM, George KP, Thompson PD. Cardiovascular benefits and risks across the physical activity continuum. Current Opinion in Cardiology 2016;31(5):566
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  44. Kouwenhoven-Pasmooij TA, Robroek SJ, Ling SW, van Rosmalen J, van Rossum EF, Burdorf A, Hunink MM. A Blended Web-Based Gaming Intervention on Changes in Physical Activity for Overweight and Obese Employees: Influence and Usage in an Experimental Pilot Study. JMIR Serious Games 2017;5(2):e6
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  45. Buckingham SA, Morrissey K, Williams AJ, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020;20(1)
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  46. Liew SJ, Gorny AW, Tan CS, Müller-Riemenschneider F. A Mobile Health Team Challenge to Promote Stepping and Stair Climbing Activities: Exploratory Feasibility Study. JMIR mHealth and uHealth 2020;8(2):e12665
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  47. Laranjo L, Quiroz JC, Tong HL, 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
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  48. Chaudhry UAR, Wahlich C, Fortescue R, Cook DG, Knightly R, Harris T. The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1)
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  49. Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz JC, Tong HL, Chahwan B, Neves AL, Gabarron E, Dao KP, Rodrigues D, Neves GC, Antunes ML, Coiera E, Bates DW. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine 2021;55(8):422
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  50. Mönninghoff A, Kramer JN, Hess AJ, Ismailova K, Teepe GW, 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
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  51. Hajna S, Sharp SJ, Cooper AJ, Williams KM, van Sluijs EM, Brage S, Griffin SJ, Sutton S. Effectiveness of Minimal Contact Interventions: An RCT. American Journal of Preventive Medicine 2021;60(3):e111
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  52. Kerrigan SG, Forman EM, Williams D, Patel M, Loyka C, Zhang F, Crosby RD, Butryn ML. Project Step: A Randomized Controlled Trial Investigating the Effects of Frequent Feedback and Contingent Incentives on Physical Activity. Journal of Physical Activity and Health 2021;18(3):247
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  54. Li C, Chen X, Bi X. Wearable activity trackers for promoting physical activity: A systematic meta-analytic review. International Journal of Medical Informatics 2021;152:104487
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  55. Mooses K, Taveter K. Agent-Oriented Goal Models in Developing Information Systems Supporting Physical Activity Among Adolescents: Literature Review and Expert Interviews. Journal of Medical Internet Research 2021;23(5):e24810
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  56. Thomas Craig KJ, Morgan LC, Chen C, Michie S, Fusco N, Snowdon JL, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behavioral Medicine 2021;11(5):1037
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  57. Kuenze C, Pfeiffer K, Pfeiffer M, Driban JB, Pietrosimone B. Feasibility of a Wearable-Based Physical Activity Goal-Setting Intervention Among Individuals With Anterior Cruciate Ligament Reconstruction. Journal of Athletic Training 2021;56(6):555
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  62. Arora A, Chakraborty P, Bhatia MPS. Intervention of Wearables and Smartphones in Real Time Monitoring of Sleep and Behavioral Health: An Assessment Using Adaptive Neuro-Fuzzy Technique. Arabian Journal for Science and Engineering 2022;47(2):1999
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5295):

  1. Arora A, Chakraborty P, Bhatia MPS. Proceedings of International Conference on Communication and Computational Technologies. 2023. Chapter 49:653
    CrossRef