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Citing this Article

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Published on 11.01.12 in Vol 14, No 1 (2012): Jan-Feb

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

Works citing "Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia"

Cally Davies, Kelly Corry, Anetta Van Itallie, Corneel Vandelanotte, Cristina Caperchione, W Kerry Mummery

J Med Internet Res 2012 (Jan 11); 14(1):e4 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1792):

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

  1. Reininger B, Mecca LP, Stine KM, Schultz K, Ling L, Halpern D. A Type 2 Diabetes Prevention Website for African Americans, Caucasians, and Mexican Americans: Formative Evaluation. JMIR Research Protocols 2013;2(2):e24
    CrossRef
  2. Duncan M, Vandelanotte C, Kolt GS, Rosenkranz RR, Caperchione CM, George ES, Ding H, Hooker C, Karunanithi M, Maeder AJ, Noakes M, Tague R, Taylor P, Viljoen P, Mummery WK. Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study. Journal of Medical Internet Research 2014;16(6):e136
    CrossRef
  3. Rosenkranz RR, Duncan MJ, Caperchione CM, Kolt GS, Vandelanotte C, Maeder AJ, Savage TN, Mummery WK. Validity of the Stages of Change in Steps instrument (SoC-Step) for achieving the physical activity goal of 10,000 steps per day. BMC Public Health 2015;15(1)
    CrossRef
  4. de la Peña A, Quintanilla C. Share, like and achieve: the power of Facebook to reach health‐related goals. International Journal of Consumer Studies 2015;39(5):495
    CrossRef
  5. Owen JE, Bantum EO, Gorlick A, Stanton AL. Engagement with a Social Networking Intervention for Cancer-Related Distress. Annals of Behavioral Medicine 2015;49(2):154
    CrossRef
  6. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
    CrossRef
  7. Tallner A, Pfeifer K, Mäurer M. Web-based interventions in multiple sclerosis: the potential of tele-rehabilitation. Therapeutic Advances in Neurological Disorders 2016;9(4):327
    CrossRef
  8. Compernolle S, De Cocker K, Lakerveld J, Mackenbach JD, Nijpels G, Oppert J, Rutter H, Teixeira PJ, Cardon G, De Bourdeaudhuij I. A RE-AIM evaluation of evidence-based multi-level interventions to improve obesity-related behaviours in adults: a systematic review (the SPOTLIGHT project). International Journal of Behavioral Nutrition and Physical Activity 2014;11(1)
    CrossRef
  9. Tzelepis F, Paul CL, Wiggers J, Kypri K, Bonevski B, McElduff P, Hill MA, Morgan PJ, Lynagh M, Collins CE, Campbell E, Courtney RJ, Chapman K, Wolfenden L, Guillaumier A, Searles A. Targeting multiple health risk behaviours among vocational education students using electronic feedback and online and telephone support: protocol for a cluster randomised trial. BMC Public Health 2015;15(1)
    CrossRef
  10. Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research 2012;14(6):e173
    CrossRef
  11. McCormack GR, McFadden K, McHugh TF, Spence JC, Mummery K. Barriers and facilitators impacting the experiences of adults participating in an internet-facilitated pedometer intervention. Psychology of Sport and Exercise 2019;45:101549
    CrossRef
  12. Irvine AB, Gelatt VA, Hammond M, Seeley JR. A Randomized Study of Internet Parent Training Accessed From Community Technology Centers. Prevention Science 2015;16(4):597
    CrossRef
  13. Vandelanotte C, Short C, Plotnikoff RC, Hooker C, Canoy D, Rebar A, Alley S, Schoeppe S, Mummery WK, Duncan MJ. 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)
    CrossRef
  14. Duncan MJ, Brown WJ, Mummery WK, Vandelanotte C. 10,000 Steps Australia: a community-wide eHealth physical activity promotion programme. British Journal of Sports Medicine 2018;52(14):885
    CrossRef
  15. O'Connor E, Farrow M, Hatherly C. Randomized Comparison of Mobile and Web-Tools to Provide Dementia Risk Reduction Education: Use, Engagement and Participant Satisfaction. JMIR Mental Health 2014;1(1):e4
    CrossRef
  16. Hageman PA, Mroz JE, Yoerger MA, Pullen CH. User Engagement Associated with Web-Intervention Features to Attain Clinically Meaningful Weight Loss and Weight Maintenance in Rural Women. Journal of Obesity 2019;2019:1
    CrossRef
  17. Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
    CrossRef
  18. Irvine AB, Gelatt VA, Seeley JR, Macfarlane P, Gau JM. Web-based Intervention to Promote Physical Activity by Sedentary Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(2):e19
    CrossRef
  19. Hermsen S, Moons J, Kerkhof P, Wiekens C, De Groot M. Determinants for Sustained Use of an Activity Tracker: Observational Study. JMIR mHealth and uHealth 2017;5(10):e164
    CrossRef
  20. Kelders SM, Bohlmeijer ET, Van Gemert-Pijnen JE. Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(8):e172
    CrossRef
  21. Edney S, Ryan JC, 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
    CrossRef
  22. Thorsteinsen K, Vittersø J, Svendsen GB. Increasing Physical Activity Efficiently: An Experimental Pilot Study of a Website and Mobile Phone Intervention. International Journal of Telemedicine and Applications 2014;2014:1
    CrossRef
  23. Murray JM, French DP, Patterson CC, Kee F, Gough A, Tang J, Hunter RF. 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
    CrossRef
  24. Mohammadi R, Atif M, Centi AJ, Agboola S, Jethwani K, Kvedar J, Kamarthi S. Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study. JMIR mHealth and uHealth 2020;8(9):e18142
    CrossRef
  25. Coulson NS, Smedley R, Bostock S, Kyle SD, Gollancz R, Luik AI, Hames P, Espie CA. The Pros and Cons of Getting Engaged in an Online Social Community Embedded Within Digital Cognitive Behavioral Therapy for Insomnia: Survey Among Users. Journal of Medical Internet Research 2016;18(4):e88
    CrossRef
  26. Rayward AT, Vandelanotte C, Corry K, Van Itallie A, Duncan MJ. 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
    CrossRef
  27. Kolt GS, Rosenkranz RR, Vandelanotte C, Caperchione CM, Maeder AJ, Tague R, Savage TN, Van IA, Mummery WK, Oldmeadow C, Duncan MJ. 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
    CrossRef
  28. Taki S, Lymer S, Russell CG, 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
    CrossRef
  29. Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, Müller AM, Wark PA, Vandelanotte C, Poppe L, Hingle MD, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292
    CrossRef
  30. Hunter RF, Gough A, Murray JM, Tang J, Brennan SF, Chrzanowski-Smith OJ, Carlin A, Patterson C, Longo A, Hutchinson G, Prior L, Tully MA, French DP, 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
    CrossRef
  31. Meyer D, Jayawardana MW, Muir SD, Ho DY, Sackett O. Promoting Psychological Well-Being at Work by Reducing Stress and Improving Sleep: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(10):e267
    CrossRef
  32. Vandelanotte C, Duncan MJ, Plotnikoff RC, Mummery WK. Do Participants’ Preferences for Mode of Delivery (Text, Video, or Both) Influence the Effectiveness of a Web-Based Physical Activity Intervention?. Journal of Medical Internet Research 2012;14(1):e37
    CrossRef
  33. Kolt GS, Rosenkranz RR, Savage TN, Maeder AJ, Vandelanotte C, Duncan MJ, Caperchione CM, Tague R, Hooker C, Mummery WK. WALK 2.0 - Using Web 2.0 applications to promote health-related physical activity: A randomised controlled trial protocol. BMC Public Health 2013;13(1)
    CrossRef
  34. Edney S, Plotnikoff R, Vandelanotte C, Olds T, De Bourdeaudhuij I, Ryan J, Maher C. “Active Team” a social and gamified app-based physical activity intervention: randomised controlled trial study protocol. BMC Public Health 2017;17(1)
    CrossRef
  35. Jennings CA, Berry TR, Carson V, Culos-Reed SN, Duncan MJ, Loitz CC, McCormack GR, McHugh TF, Spence JC, Vallance JK, Mummery WK. UWALK: the development of a multi-strategy, community-wide physical activity program. Translational Behavioral Medicine 2017;7(1):16
    CrossRef
  36. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254
    CrossRef
  37. Graham AL, Cha S, Papandonatos GD, Cobb NK, Mushro A, Fang Y, Niaura RS, Abrams DB. Improving adherence to web-based cessation programs: a randomized controlled trial study protocol. Trials 2013;14(1):48
    CrossRef
  38. Zhang R, Nicholas J, Knapp AA, Graham AK, Gray E, Kwasny MJ, Reddy M, Mohr DC. Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study. Journal of Medical Internet Research 2019;21(12):e15644
    CrossRef
  39. Solar C, Halat AM, MacLean RR, Rajeevan H, Williams DA, Krein SL, Heapy AA, Bair MJ, Kerns RD, Higgins DM. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2021;11(6):1274
    CrossRef
  40. Atorkey P, Paul C, Bonevski B, Wiggers J, Mitchell A, Byrnes E, Lecathelinais C, Tzelepis F. Uptake of Proactively Offered Online and Telephone Support Services Targeting Multiple Health Risk Behaviors Among Vocational Education Students: Process Evaluation of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(1):e19737
    CrossRef
  41. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180
    CrossRef
  42. Rayward AT, Vandelanotte C, Van Itallie A, Duncan MJ. 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
    CrossRef
  43. Kim M, Yang J, Ahn W, Choi HJ. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218
    CrossRef
  44. McCormack GR, Spence JC, McHugh T, Mummery WK, Mehrabi E. The effect of neighborhood walkability on changes in physical activity and sedentary behavior during a 12-week pedometer-facilitated intervention. PLOS ONE 2022;17(12):e0278596
    CrossRef
  45. Oguntoye AO, Eades NT, Ezenwa MO, Krieger J, Jenerette C, Adegbola M, Jacob E, Johnson-Mallard V, Yao Y, Gallo A, Wilkie DJ. Factors associated with young adult engagement with a web-based sickle cell reproductive health intervention. PEC Innovation 2022;1:100063
    CrossRef
  46. Vandelanotte C, Hooker C, Van Itallie A, Urooj A, Duncan MJ, Rowe R. Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study. PLOS ONE 2022;17(10):e0274975
    CrossRef
  47. Stark AL, Geukes C, Dockweiler C. Digital Health Promotion and Prevention in Settings: Scoping Review. Journal of Medical Internet Research 2022;24(1):e21063
    CrossRef
  48. Wu H, Yu Y, Ku SW, Tseng Y, Yuan C, Li C, Huang P, Ko N, Anderson PL, Strong C. Usability and effectiveness of adherence monitoring of a mobile app designed to monitor and improve adherence to event-driven and daily HIV pre-exposure prophylaxis among men who have sex with men in Taiwan. DIGITAL HEALTH 2022;8:205520762211027
    CrossRef
  49. Herrmann-Lunecke MG, Figueroa-Martínez C, Olivares Espinoza B. Making Chile More Pedestrian-Friendly for Older Persons: Expert Perspectives. Journal of Aging & Social Policy 2023;35(4):486
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1792):

  1. Kelders SM, van Gemert-Pijnen JEWC. Persuasive Technology. 2013. Chapter 13:99
    CrossRef
  2. Vandelanotte C, Alley S, Persaud N, Horsley M. Current Trends in Eye Tracking Research. 2014. Chapter 20:245
    CrossRef