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Citing this Article

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Published on 22.09.16 in Vol 4, No 3 (2016): Jul-Sept

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

Works citing "An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.5227):

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

  1. Busch L, Utesch T, Bürkner P, Strauss B. The Influence of Fitness-App Usage on Psychological Well-Being and Body Awareness—A Daily Diary Randomized Trial. Journal of Sport and Exercise Psychology 2020;:1
    CrossRef
  2. Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046
    CrossRef
  3. Hernández-Reyes A, Cámara-Martos F, Molina-Luque R, Moreno-Rojas R. Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial. JMIR mHealth and uHealth 2020;8(5):e16999
    CrossRef
  4. Poowuttikul P, Seth D. New Concepts and Technological Resources in Patient Education and Asthma Self-Management. Clinical Reviews in Allergy & Immunology 2020;
    CrossRef
  5. Hernández-Reyes A, Cámara-Martos F, Molina Recio G, Molina-Luque R, Romero-Saldaña M, Moreno Rojas R. Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(2):e13747
    CrossRef
  6. Ball E, Newton S, Rohricht F, Steed L, Birch J, Dodds J, Cantalapiedra Calvete C, Taylor S, Rivas C. mHealth: providing a mindfulness app for women with chronic pelvic pain in gynaecology outpatient clinics: qualitative data analysis of user experience and lessons learnt. BMJ Open 2020;10(3):e030711
    CrossRef
  7. Kee F, Taylor-Robinson D. Scientific challenges for precision public health. Journal of Epidemiology and Community Health 2020;74(4):311
    CrossRef
  8. Pope ZC, Gao Z. Feasibility of smartphone application- and social media-based intervention on college students’ health outcomes: A pilot randomized trial. Journal of American College Health 2020;:1
    CrossRef
  9. Petersen JM, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687
    CrossRef
  10. Soderlund PD, Stuart GW, Mueller M, York J, Lopez CM. Feasibility of Motivational Interviewing and Physical Activity Counseling Sessions for Improving Physical Activity Self-Management for Latina Women Either at Risk for or Diagnosed With Type 2 Diabetes Mellitus. Journal of Transcultural Nursing 2019;30(5):453
    CrossRef
  11. Groarke JM, Richmond J, Kelly MG, McSharry J, Groarke A, Kerr T, Singaroyan N, Harney O, Haughey C, Glynn L, Masterson E, O Donnell A, Duffy K, Walsh J. Examining the Impact of a Personalized Self-Management Lifestyle Program Using Mobile Technology on the Health and Well-Being of Cancer Survivors: Protocol and Rationale for a Randomized Controlled Trial (The Moving On Study). JMIR Research Protocols 2019;8(8):e13214
    CrossRef
  12. Feter N, dos Santos TS, Caputo EL, da Silva MC. What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health 2019;64(5):679
    CrossRef
  13. Tu R, Hsieh P, Feng W. Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review 2019;22(5):682
    CrossRef
  14. UHvA G, Dallinga JM, Deutekom M. With a little help from my walking app? Predictors of profile classifications of current users, previous users, and informed nonusers in a sample of Dutch adults (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  15. Guan Z, Sun L, Xiao Q, Wang Y. Constructing an assessment framework for the quality of asthma smartphone applications. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  16. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303
    CrossRef
  17. ALTIKARDEŞ ZA, BAJGORA M, SARIKAYA U, DOĞAN B, FAK AS. Yeni Bir Yaklaşımla Genç Bireylerde Kalp Sağlığı Takibi için Web ve Mobil Uygulama Geliştirilmesi. International Journal of Advances in Engineering and Pure Sciences 2019;
    CrossRef
  18. Walsh JC, Groarke JM. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38
    CrossRef
  19. Danaher J, Nyholm S, Earp BD. The Quantified Relationship. The American Journal of Bioethics 2018;18(2):3
    CrossRef
  20. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
    CrossRef
  21. Schembre SM, Liao Y, Robertson MC, Dunton GF, Kerr J, Haffey ME, Burnett T, Basen-Engquist K, Hicklen RS. Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework. Journal of Medical Internet Research 2018;20(3):e106
    CrossRef
  22. Medagama A, Galgomuwa M, Silva CD. Physical activity patterns and socio-demographic correlates of physical activity among medical undergraduates in Sri Lanka: an observational study. Postgraduate Medical Journal 2018;94(1107):32
    CrossRef
  23. McCallum C, Rooksby J, Gray CM. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58
    CrossRef
  24. Gal R, May AM, van Overmeeren EJ, Simons M, Monninkhof EM. The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis. Sports Medicine - Open 2018;4(1)
    CrossRef
  25. Pinder C, Vermeulen J, Cowan BR, Beale R. Digital Behaviour Change Interventions to Break and Form Habits. ACM Transactions on Computer-Human Interaction 2018;25(3):1
    CrossRef
  26. Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
    CrossRef
  27. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231
    CrossRef
  28. Seifert A, Schlomann A, Rietz C, Schelling HR. The use of mobile devices for physical activity tracking in older adults’ everyday life. DIGITAL HEALTH 2017;3:205520761774008
    CrossRef
  29. Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef