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Citing this Article

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Published on 22.10.14 in Vol 16, No 10 (2014): October

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

Works citing "Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study"

Leanne G Morrison, Charlie Hargood, Sharon Xiaowen Lin, Laura Dennison, Judith Joseph, Stephanie Hughes, Danius T Michaelides, Derek Johnston, Marie Johnston, Susan Michie, Paul Little, Peter WF Smith, Mark J Weal, Lucy Yardley

J Med Internet Res 2014 (Oct 22); 16(10):e201 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3579):

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

  1. Morrison LG, Hargood C, Pejovic V, Geraghty AWA, Lloyd S, Goodman N, Michaelides DT, Weston A, Musolesi M, Weal MJ, Yardley L, Li D. The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial. PLOS ONE 2017;12(1):e0169162
    CrossRef
  2. Ebenfeld L, Kleine Stegemann S, Lehr D, Ebert DD, Funk B, Riper H, Berking M. A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study. Internet Interventions 2020;19:100296
    CrossRef
  3. Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290
    CrossRef
  4. Agarwal P, Mukerji G, Desveaux L, Ivers NM, Bhattacharyya O, Hensel JM, Shaw J, Bouck Z, Jamieson T, Onabajo N, Cooper M, Marani H, Jeffs L, Bhatia RS. Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10321
    CrossRef
  5. Hales S, Turner-McGrievy GM, Wilcox S, Fahim A, Davis RE, Huhns M, Valafar H. Social networks for improving healthy weight loss behaviors for overweight and obese adults: A randomized clinical trial of the social pounds off digitally (Social POD) mobile app. International Journal of Medical Informatics 2016;94:81
    CrossRef
  6. Morales J, Inupakutika D, Kaghyan S, Akopian D, Yin Z, Evans M, Parra-Medina D. Technology-based health promotion: Current state and perspectives in emerging gig economy. Biocybernetics and Biomedical Engineering 2019;39(3):825
    CrossRef
  7. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth and uHealth 2018;6(11):e10123
    CrossRef
  8. Middelweerd A, van der Laan DM, van Stralen MM, Mollee JS, Stuij M, te Velde SJ, Brug J. What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1)
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  9. Howells FM, Kingdon DG, Baldwin DS. Current and potential pharmacological and psychosocial interventions for anxiety symptoms and disorders in patients with schizophrenia: structured review. Human Psychopharmacology: Clinical and Experimental 2017;32(5)
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  10. Kruse CS, Mileski M, Moreno J. Mobile health solutions for the aging population: A systematic narrative analysis. Journal of Telemedicine and Telecare 2017;23(4):439
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  11. Ingram W, Webb D, Taylor RS, Anokye N, Yardley L, Jolly K, Mutrie N, Campbell JL, Dean SG, Greaves C, Steele M, Lambert JD, McAdam C, Jane B, King J, Jones RB, Little P, Woolf A, Erwin J, Charles N, Terry RH, Taylor AH. Multicentred randomised controlled trial of an augmented exercise referral scheme using web-based behavioural support in individuals with metabolic, musculoskeletal and mental health conditions: protocol for the e-coachER trial. BMJ Open 2018;8(9):e022382
    CrossRef
  12. Arden-Close EJ, Smith E, Bradbury K, Morrison L, Dennison L, Michaelides D, Yardley L. A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR). JMIR Human Factors 2015;2(1):e8
    CrossRef
  13. Ipjian ML, Johnston CS. Smartphone technology facilitates dietary change in healthy adults. Nutrition 2017;33:343
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  14. Kim S, Cho H. The Effect of Smartphone-Delivered Emergency Preparedness Education on Coping Knowledge Among Fifth- and Sixth-Grade Elementary Schoolchildren in South Korea. The Journal of School Nursing 2017;33(6):434
    CrossRef
  15. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884
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  16. Yardley L, Ainsworth B, Arden-Close E, Muller I. The person-based approach to enhancing the acceptability and feasibility of interventions. Pilot and Feasibility Studies 2015;1(1)
    CrossRef
  17. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
    CrossRef
  18. Nathalie Lyzwinski L, Caffery L, Bambling M, Edirippulige S. University Students’ Perspectives on Mindfulness and mHealth: A Qualitative Exploratory Study. American Journal of Health Education 2018;49(6):341
    CrossRef
  19. Honary M, Bell BT, Clinch S, Wild SE, McNaney R. Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR mHealth and uHealth 2019;7(6):e14239
    CrossRef
  20. Lucertini F, Ferri Marini C, Sisti D, Stocchi V, Federici A, Gregorio F, Piangerelli D, Chiatti C, Cherubini A, Boemi M, Romagnoli F, Cucchi M, D’Angelo F, Luconi MP, Bonfigli AR. Discontinuously supervised aerobic training vs. physical activity promotion in the self-management of type 2 diabetes in older Italian patients: design and methods of the ‘TRIPL-A’ randomized controlled trial. BMC Geriatrics 2019;19(1)
    CrossRef
  21. Hales S, Turner-McGrievy G, Fahim A, Freix A, Wilcox S, Davis RE, Huhns M, Valafar H. A Mixed-Methods Approach to the Development, Refinement, and Pilot Testing of Social Networks for Improving Healthy Behaviors. JMIR Human Factors 2016;3(1):e8
    CrossRef
  22. Lin SX, Morrison L, Smith PWF, Hargood C, Weal M, Yardley L. Properties of bootstrap tests for N‐of‐1 studies. British Journal of Mathematical and Statistical Psychology 2016;69(3):276
    CrossRef
  23. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38
    CrossRef
  24. Partridge SR, Allman-Farinelli M, McGeechan K, Balestracci K, Wong AT, Hebden L, Harris MF, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  25. Sharpe EE, Karasouli E, Meyer C. Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review. JMIR Research Protocols 2017;6(10):e205
    CrossRef
  26. Cho J, Lee HE, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437
    CrossRef
  27. Michie S, Yardley L, West R, Patrick K, Greaves F. Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop. Journal of Medical Internet Research 2017;19(6):e232
    CrossRef
  28. Gomez Quiñonez S, Walthouwer MJL, Schulz DN, de Vries H. mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(11):e278
    CrossRef
  29. Morrison LG, Geraghty AW, Lloyd S, Goodman N, Michaelides DT, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74
    CrossRef
  30. Athilingam P, Jenkins B. Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review. JMIR Cardio 2018;2(1):e10057
    CrossRef
  31. Robotham D, Mayhew M, Rose D, Wykes T. Electronic personal health records for people with severe mental illness; a feasibility study. BMC Psychiatry 2015;15(1)
    CrossRef
  32. Anderson K, Burford O, Emmerton L, van Ooijen PM. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164
    CrossRef
  33. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  34. Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094
    CrossRef
  35. Frie K, Hartmann-Boyce J, Jebb SA, Aveyard P. Testing the effectiveness of a weight loss intervention to enhance self-regulation in adults who are obese: protocol for a randomised controlled trial. BMJ Open 2019;9(12):e031572
    CrossRef
  36. . Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3
    CrossRef
  37. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  38. Willcox JC, van der Pligt P, Ball K, Wilkinson SA, Lappas M, McCarthy EA, Campbell KJ. Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation. JMIR mHealth and uHealth 2015;3(4):e99
    CrossRef
  39. Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941
    CrossRef
  40. Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH, Curtis K, Merchant GC, Naughton F, Blandford A. Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine 2016;51(5):833
    CrossRef
  41. Carter DD, Robinson K, Forbes J, Hayes S, Zeeb H. Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography. PLOS ONE 2018;13(12):e0208759
    CrossRef
  42. Yim SH, Bailey E, Gordon G, Grant N, Musiat P, Schmidt U. Exploring Participants’ Experiences of a Web-Based Program for Bulimia and Binge Eating Disorder: Qualitative Study. Journal of Medical Internet Research 2020;22(9):e17880
    CrossRef
  43. Díaz-Méndez C, Adams J. The combined used of quantitative and qualitative longitudinal methods in the study of obesity. Gaceta Sanitaria 2021;35(6):569
    CrossRef
  44. Taylor AH, Taylor RS, Ingram WM, Anokye N, Dean S, Jolly K, Mutrie N, Lambert J, Yardley L, Greaves C, King J, McAdam C, Steele M, Price L, Streeter A, Charles N, Terry R, Webb D, Campbell J, Hughes L, Ainsworth B, Jones B, Jane B, Erwin J, Little P, Woolf A, Cavanagh C. Adding web-based behavioural support to exercise referral schemes for inactive adults with chronic health conditions: the e-coachER RCT. Health Technology Assessment 2020;24(63):1
    CrossRef
  45. Whitelock V, Kersbergen I, Higgs S, Aveyard P, Halford JC, Robinson E. User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e16780
    CrossRef
  46. Han M, Rhee SY. Effect of Adherence to Smartphone App Use on the Long-term Effectiveness of Weight Loss in Developing and OECD Countries: Retrospective Cohort Study. JMIR mHealth and uHealth 2021;9(7):e13496
    CrossRef
  47. Tonkin E, Brimblecombe J, Wycherley TP. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308
    CrossRef
  48. Yadav M, Neate S, Hassed C, Chambers R, Connaughton S, Nag N. Mining the Gems of a Web-Based Mindfulness Intervention: Qualitative Analysis of Factors Aiding Completion and Implementation. JMIR Formative Research 2022;6(10):e37406
    CrossRef
  49. Edmunds JA, Gicheva D, Thrift B, Hull M. Using Mixed Methods to Explore Variations in Impact Within RCTs: The Case of Project COMPASS. Journal of Mixed Methods Research 2022;16(4):478
    CrossRef
  50. Oakley-Girvan I, Yunis R, Longmire M, Ouillon JS. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health 2021;
    CrossRef
  51. Kang SR, Kim S, Kang K. Effects of Child Sexual Abuse Prevention Education Program Using Hybrid Application (CSAPE-H) on Fifth-Grade Students in South Korea. The Journal of School Nursing 2022;38(4):368
    CrossRef
  52. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603
    CrossRef
  53. Greenwell K, Sereda M, Coulson N, Hoare DJ. Understanding User Reactions and Interactions With an Internet-Based Intervention for Tinnitus Self-Management: Mixed-Methods Process Evaluation Protocol. JMIR Research Protocols 2016;5(1):e49
    CrossRef
  54. Martínez-Olcina M, Cuestas-Calero BJ, Miralles-Amorós L, Vicente-Martínez M, Sánchez-Sánchez J. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females. International Journal of Environmental Research and Public Health 2022;19(10):5857
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  55. Kelly PJ, Beck AK, Deane FP, Larance B, Baker AL, Hides L, Manning V, Shakeshaft A, Neale J, Kelly JF, Oldmeadow C, Searles A, Palazzi K, Lawson K, Treloar C, Gray RM, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study. Journal of Medical Internet Research 2021;23(10):e25217
    CrossRef
  56. He Z, Tian S, Singh A, Chakraborty S, Zhang S, Lustria MLA, Charness N, Roque NA, Harrell ER, Boot WR. A Machine-Learning Based Approach for Predicting Older Adults’ Adherence to Technology-Based Cognitive Training. Information Processing & Management 2022;59(5):103034
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  57. Liu J, Gong X, Weal M, Dai W, Hou S, Ma J. Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — A mixed methods study. DIGITAL HEALTH 2023;9:205520762311741
    CrossRef
  58. Harper RC, Sheppard S, Stewart C, Clark CJ. Exploring Adherence to Pelvic Floor Muscle Training in Women Using Mobile Apps: Scoping Review. JMIR mHealth and uHealth 2023;11:e45947
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  59. Patterson K, Davey R, Keegan R, Niyonsenga T, Mohanty I, Bowen S, Regan E, Lander M, van Berlo S, Freene N. Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e48229
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3579):

  1. King D, Rahman E, Potter A, van Teijlingen E. Proceedings of the Future Technologies Conference (FTC) 2018. 2019. Chapter 84:1145
    CrossRef
  2. Pejovic V, Lathia N, Mascolo C, Musolesi M. Emotions and Personality in Personalized Services. 2016. Chapter 8:141
    CrossRef