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Citing this Article

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Published on 21.05.15 in Vol 3, No 2 (2015): Apr-Jun

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

Works citing "Public Health Guidelines for Physical Activity: Is There an App for That? A Review of Android and Apple App Stores"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4003):

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

  1. Chung AE, Griffin AC, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174
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  3. Wichmann F, Sill J, Hassenstein MJ, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität. Prävention und Gesundheitsförderung 2019;14(2):93
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  4. Lobelo F, Rohm Young D, Sallis R, Garber MD, Billinger SA, Duperly J, Hutber A, Pate RR, Thomas RJ, Widlansky ME, McConnell MV, Joy EA. Routine Assessment and Promotion of Physical Activity in Healthcare Settings: A Scientific Statement From the American Heart Association. Circulation 2018;137(18)
    CrossRef
  5. . Review of researches on smartphone applications for physical activity promotion in healthy adults. Journal of Exercise Rehabilitation 2017;13(1):3
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  6. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
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    CrossRef
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    CrossRef
  11. Tavares BF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343
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  12. Lin J, Wurst R, Paganini S, Hohberg V, Kinkel S, Göhner W, Ramsenthaler C, Fuchs R. A group- and smartphone-based psychological intervention to increase and maintain physical activity in patients with musculoskeletal conditions: study protocol for a randomized controlled trial (“MoVo-App”). Trials 2020;21(1)
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  13. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109
    CrossRef
  14. Graf C, Ferrari N. Körperliche Aktivität, Sport und Bewegungstherapie bei (morbider) Adipositas. Der Diabetologe 2015;11(6):457
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  15. Simões P, Silva AG, Amaral J, Queirós A, Rocha NP, Rodrigues M. Features, Behavioral Change Techniques, and Quality of the Most Popular Mobile Apps to Measure Physical Activity: Systematic Search in App Stores. JMIR mHealth and uHealth 2018;6(10):e11281
    CrossRef
  16. Sperlich B, Hahn L, Edel A, Behr T, Helmprobst J, Leppich R, Wallmann-Sperlich B, Holmberg H. A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. Frontiers in Physiology 2018;9
    CrossRef
  17. Arigo D, Brown MM, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642
    CrossRef
  18. Kebede M, Steenbock B, Helmer SM, Sill J, Möllers T, Pischke CR. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314
    CrossRef
  19. Rospo G, Valsecchi V, Bonomi AG, Thomassen IW, van Dantzig S, La Torre A, Sartor F. Cardiorespiratory Improvements Achieved by American College of Sports Medicine’s Exercise Prescription Implemented on a Mobile App. JMIR mHealth and uHealth 2016;4(2):e77
    CrossRef
  20. Fischer T, Stumpf P, Reinhardt G, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a study protocol for a single-armed observational study. BMJ Open 2020;10(3):e034027
    CrossRef
  21. MacPherson MM, Merry KJ, Locke SR, Jung ME. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12956
    CrossRef
  22. Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach. Journal of Medical Internet Research 2017;19(4):e125
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  23. Bol N, Høie NM, Nguyen MH, Smit ES. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. DIGITAL HEALTH 2019;5:205520761988807
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  24. Richardson B, Dol J, Rutledge K, Monaghan J, Orovec A, Howie K, Boates T, Smit M, Campbell-Yeo M. Evaluation of Mobile Apps Targeted to Parents of Infants in the Neonatal Intensive Care Unit: Systematic App Review. JMIR mHealth and uHealth 2019;7(4):e11620
    CrossRef
  25. Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280
    CrossRef
  26. Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203
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  27. Grundy QH, Wang Z, Bero LA. Challenges in Assessing Mobile Health App Quality. American Journal of Preventive Medicine 2016;51(6):1051
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  28. Bus K, Peyer KL, Bai Y, Ellingson LD, Welk GJ. Comparison of In-Person and Online Motivational Interviewing–Based Health Coaching. Health Promotion Practice 2018;19(4):513
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  29. Poss-Doering R, Kuehn L, Kamradt M, Glassen K, Wensing M. Applying Digital Information Delivery to Convert Habits of Antibiotic Use in Primary Care in Germany: Mixed-Methods Study. Journal of Medical Internet Research 2020;22(10):e18200
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  30. 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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  31. Crema C, Depari A, Flammini A, Sisinni E, Haslwanter T, Salzmann S. Characterization of a wearable system for automatic supervision of fitness exercises. Measurement 2019;147:106810
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  32. Dunphy E, Hamilton FL, Spasić I, Button K. Acceptability of a digital health intervention alongside physiotherapy to support patients following anterior cruciate ligament reconstruction. BMC Musculoskeletal Disorders 2017;18(1)
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  33. Johnson D, Deterding S, Kuhn K, Staneva A, Stoyanov S, Hides L. Gamification for health and wellbeing: A systematic review of the literature. Internet Interventions 2016;6:89
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  34. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818
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  35. WELK GJ, BAI Y, LEE J, GODINO J, SAINT-MAURICE PF, CARR L. Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies. Medicine & Science in Sports & Exercise 2019;51(8):1767
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  36. Chan KL, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e11836
    CrossRef
  37. Fukuoka Y, Haskell W, Lin F, Vittinghoff E. Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive Women. JAMA Network Open 2019;2(5):e194281
    CrossRef
  38. Kwon H, Lee S, Jung EJ, Kim S, Lee J, Kim DK, Kim T, Lee SH, Lee MK, Song S, Shin K. An mHealth Management Platform for Patients with Chronic Obstructive Pulmonary Disease (efil breath): Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10502
    CrossRef
  39. Gür F, Gür GC, Ayan V. The Effect of the ERVE Smartphone App on Physical Activity, Quality of Life, Self-Efficacy, and Exercise Motivation for Inactive People: A Randomized Controlled Trial. European Journal of Integrative Medicine 2020;39:101198
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  40. Wang T, Ren M, Shen Y, Zhu X, Zhang X, Gao M, Chen X, Zhao A, Shi Y, Chai W, Liu X, Sun X. The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects. JMIR mHealth and uHealth 2019;7(9):e12606
    CrossRef
  41. Hutcherson TC, Cieri-Hutcherson NE, Donnelly PJ, Feneziani ML, Grisanti KMR. Evaluation of Mobile Applications Intended to Aid in Conception Using a Systematic Review Framework. Annals of Pharmacotherapy 2020;54(2):178
    CrossRef
  42. Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, Welk GJ. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584
    CrossRef
  43. Dedov VN, Dedova IV. Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e11
    CrossRef
  44. McConnell MV, Turakhia MP, Harrington RA, King AC, Ashley EA. Mobile Health Advances in Physical Activity, Fitness, and Atrial Fibrillation. Journal of the American College of Cardiology 2018;71(23):2691
    CrossRef
  45. Bopp M, Sims D, Matthews SA, Rovniak LS, Poole E, Colgan J. There׳s an app for that: development of a smartphone app to promote active travel to a college campus. Journal of Transport & Health 2016;3(3):305
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  46. Bearne LM, Sekhon M, Grainger R, La A, Shamali M, Amirova A, Godfrey EL, White CM. Smartphone Apps Targeting Physical Activity in People With Rheumatoid Arthritis: Systematic Quality Appraisal and Content Analysis. JMIR mHealth and uHealth 2020;8(7):e18495
    CrossRef
  47. Bondaronek P, Alkhaldi G, Slee A, Hamilton FL, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53
    CrossRef
  48. 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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  49. Borgquist S, Hall P, Lipkus I, Garber JE. Towards Prevention of Breast Cancer: What Are the Clinical Challenges?. Cancer Prevention Research 2018;11(5):255
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  50. Heales LJ, Randall S, Vicenzino B, Coombes BK, Obst S. An evidence-based evaluation of mobile health apps for the management of individuals with lateral elbow tendinopathy using a systematic review framework. Physical Therapy Reviews 2021;26(4):243
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  51. . Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework. International Journal of Computer Science in Sport 2019;18(3):12
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  52. Radhakrishnan M, Misra A, Balan RK. W8-Scope: Fine-grained, practical monitoring of weight stack-based exercises. Pervasive and Mobile Computing 2021;75:101418
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  53. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308
    CrossRef
  54. Agnew JMR, Nugent C, Hanratty CE, Martin E, Kerr DP, McVeigh JG. Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR Formative Research 2022;6(5):e34339
    CrossRef
  55. Reinhardt G, Timpel P, Schwarz PEH, 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
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  56. Vieira WDO, Ostolin TLVDP, Simões MDSMP, Proença NL, Dourado VZ. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Frontiers in Public Health 2022;10
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  57. Fischer T, Stumpf P, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a single-armed observational study. BMJ Open 2022;12(1):e052818
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  58. Kiani N, Pirzadeh A. Mobile-application intervention on physical activity of pregnant women in Iran during the COVID-19 epidemic in 2020. Journal of Education and Health Promotion 2021;10(1):328
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  59. Moradi S, Alivand M, KhajeBishak Y, AsghariJafarabadi M, Alipour M, faghfouri A, Alipour B. The Effect of ω3 Fatty Acids Supplementation on Levels of PPARγ and UCP2 Genes Expression, Serum Level of UCP2 Protein, Metabolic Status, and Appetite in Elite male Athletes: Protocol for a Randomized Control Trial. International Journal of Surgery: Protocols 2021;25(1):184
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  60. Fang P, Shi S, Menhas R, Laar RA, Saeed MM. Demographic Characteristics and Digital Platforms for Physical Activity Among the Chinese Residents During the COVID-19 Pandemic: A Mediating Analysis. Journal of Multidisciplinary Healthcare 2022;Volume 15:515
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  61. Fu S, Fang J, Cai Z, Lim ETK, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097
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  62. Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118
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  63. Vos AL, de Bruijn G, Klein MCA, Lakerveld J, Boerman SC, Smit EG. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study. JMIR Formative Research 2023;7:e40851
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  64. Yin Y, Dong Y, Li J, Li S. Research on the Recommendation of Exercise Recovery Duration of Mobile Health APP. Highlights in Science, Engineering and Technology 2023;41:271
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  65. Menhas R, Qin L, Saqib ZA, Younas M. The association between COVID-19 preventive strategies, virtual reality exercise, use of fitness apps, physical, and psychological health: testing a structural equation moderation model. Frontiers in Public Health 2023;11
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  66. Machorro-Cano I, Olmedo-Aguirre JO, Alor-Hernández G, Rodríguez-Mazahua L, Sánchez-Morales LN, Pérez-Castro N. Cloud-Based Platforms for Health Monitoring: A Review. Informatics 2023;11(1):2
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4003):

  1. King D, Rahman E, Potter A, van Teijlingen E. Proceedings of the Future Technologies Conference (FTC) 2018. 2019. Chapter 84:1145
    CrossRef
  2. Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. 2016. Chapter 289-1:1
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  3. Mollee JS, Klein MCA. Advances in Artificial Intelligence: From Theory to Practice. 2017. Chapter 37:353
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  4. Lee G, Julien C. Pervasive Computing Technologies for Healthcare. 2022. Chapter 27:435
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  5. Valcarce M, Angosto S. Innovation in Physical Activity and Sport. 2022. Chapter 10:88
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  6. Sulprizio M, Löw R, Schulte-Frei B, Böwe R, Jäger L. Sport in der Schwangerschaft. 2023. Chapter 8:73
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