Published on 21.11.12 in Vol 14, No 6 (2012): Nov-Dec
Works citing "Increasing Physical Activity With Mobile Devices: A Meta-Analysis"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2171):
(note that this is only a small subset of citations)
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Widmer RJ, Collins NM, Collins CS, West CP, Lerman LO, Lerman A. Digital Health Interventions for the Prevention of Cardiovascular Disease: A Systematic Review and Meta-analysis. Mayo Clinic Proceedings 2015;90(4):469
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Willoughby JF, Liu S. Do pictures help tell the story? An experimental test of narrative and emojis in a health text message intervention. Computers in Human Behavior 2018;79:75
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. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293
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Lee BJ, Park YH, Lee JY, Kim SJ, Jang Y, Lee JI. Smartphone Application Versus Pedometer to Promote Physical Activity in Prostate Cancer Patients. Telemedicine and e-Health 2019;25(12):1231
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Phillips SM, Courneya KS, Welch WA, Gavin KL, Cottrell A, Nielsen A, Solk P, Blanch-Hartigan D, Cella D, Ackermann RT, Spring B, Penedo F. Breast cancer survivors’ preferences for mHealth physical activity interventions: findings from a mixed methods study. Journal of Cancer Survivorship 2019;13(2):292
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Smit ES, Bol N. From self-reliers to expert-dependents: identifying classes based on health-related need for autonomy and need for external control among mobile users. Media Psychology 2020;23(3):391
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Song D, Yu DS, Li PW, Lei Y. The effectiveness of physical exercise on cognitive and psychological outcomes in individuals with mild cognitive impairment: A systematic review and meta-analysis. International Journal of Nursing Studies 2018;79:155
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Hoj TH, Covey EL, Jones AC, Haines AC, Hall PC, Crookston BT, West JH. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114
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Patten CA, Bronars CA, Vickers Douglas KS, Ussher MH, Levine JA, Tye SJ, Hughes CA, Brockman TA, Decker PA, DeJesus RS, Williams MD, Olson TP, Clark MM, Dieterich AM. Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study. Nicotine & Tobacco Research 2017;19(1):77
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Collins TC, Lu L, Valverde MG, Silva MX, Parra-Medina D. Efficacy of a multi-component intervention to promote physical activity among Latino adults: A randomized controlled trial. Preventive Medicine Reports 2019;16:100965
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Gomersall SR, Skinner TL, Winkler E, Healy GN, Eakin E, Fjeldsoe B. Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing ‘whole-of-day’ activity in people living with and beyond cancer. BMC Public Health 2019;19(S2)
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Pfirrmann D, Haller N, Huber Y, Jung P, Lieb K, Gockel I, Poplawska K, Schattenberg JM, Simon P. Applicability of a Web-Based, Individualized Exercise Intervention in Patients With Liver Disease, Cystic Fibrosis, Esophageal Cancer, and Psychiatric Disorders: Process Evaluation of 4 Ongoing Clinical Trials. JMIR Research Protocols 2018;7(5):e106
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van Drongelen A, Boot CRL, Hlobil H, Smid T, van der Beek AJ. Process evaluation of a tailored mobile health intervention aiming to reduce fatigue in airline pilots. BMC Public Health 2016;16(1)
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Wilaiwan W, Siriwong W. The Healthy e-Elderly People Assessment (HEPA) application. Journal of Health Research 2019;33(1):14
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Mendelson M, Bailly S, Marillier M, Flore P, Borel JC, Vivodtzev I, Doutreleau S, Verges S, Tamisier R, Pépin J. Obstructive Sleep Apnea Syndrome, Objectively Measured Physical Activity and Exercise Training Interventions: A Systematic Review and Meta-Analysis. Frontiers in Neurology 2018;9
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Kim H, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2019;17(1):15
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Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27
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Lynch EA, Jones TM, Simpson DB, Fini NA, Kuys SS, Borschmann K, Kramer S, Johnson L, Callisaya ML, Mahendran N, Janssen H, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2018;
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Fennell C, Barkley JE, Lepp A. The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior 2019;90:53
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De Bruijn G, Dallinga JM, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391
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Msetfi R, O'Sullivan D, Walsh A, Nelson J, Van de Ven P. Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study. JMIR mHealth and uHealth 2018;6(11):e10114
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Laoviwat P, Suppapanya P, Yousapronpaiboon K. A Study of Demographics Influencing on Consumer Behavior and Attitude towards Brand Equity of Optical Business in Thailand. International Journal of Trade, Economics and Finance 2014;5(4):347
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Buchholz SW, Ingram D, Wilbur J, Fogg L, Sandi G, Moss A, Ocampo EV. Bilingual Text4Walking Food Service Employee Intervention Pilot Study. JMIR mHealth and uHealth 2016;4(2):e68
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Gourlan M, Bernard P, Bortolon C, Romain AJ, Lareyre O, Carayol M, Ninot G, Boiché J. Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health Psychology Review 2016;10(1):50
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. A sneak peek into digital innovations and wearable sensors for cardiac monitoring. Journal of Clinical Monitoring and Computing 2017;31(2):253
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Stiglbauer B, Weber S, Batinic B. Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in Human Behavior 2019;94:131
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Schippers M, Adam PCG, Smolenski DJ, Wong HTH, de Wit JBF. A meta‐analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450
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Vandelanotte C, Müller AM, Short CE, Hingle M, Nathan N, Williams SL, Lopez ML, Parekh S, Maher CA. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior 2016;48(3):219
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Escoffery C, McGee R, Bidwell J, Sims C, Thropp EK, Frazier C, Mynatt ED. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62
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Laing SS, Sterling R, Ocampo C. Physical Activity Support Predicts Safety-Net Patients’ Digital Health-Care Engagement: Implications for Patient Care Delivery. American Journal of Health Promotion 2020;34(3):311
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Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2020;8(7):e16159
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Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
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Morais Pereira Simões MDS, de Barros Gonze B, Leite Proença N, Tonon Lauria V, Demarchi Silva Terra V, da Costa Padovani R, Zuniga Dourado V. Use of a smartphone app combined with gamification to increase the level of physical activity of adults and older adults: protocol of a sequential multiple assignment randomized trial. Trials 2019;20(1)
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Carter S, Green J, Speed E. Digital technologies and the biomedicalisation of everyday activities: The case of walking and cycling. Sociology Compass 2018;12(4)
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JungHwanCho , 오정화 , 정해권 , 송금주 . Current Mobile App Contents and Technologies for Physical Activity Promoting Intervention. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 2016;18(1):1
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Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials. Annals of Behavioral Medicine 2017;51(2):226
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Mariani AW, Pêgo-Fernandes PM. Smartphones and health promotion. Sao Paulo Medical Journal 2014;132(5):259
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Hekler E, Tiro JA, Hunter CM, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805
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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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Robin N, Toussaint L, Sinnapah S, Hue O, Coudevylle GR. Beneficial Influence of Mindfulness Training Promoted by Text Messages on Self-Reported Aerobic Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2020;28(3):406
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Albright CL, Steffen AD, Wilkens LR, White KK, Novotny R, Nigg CR, Saiki K, Brown WJ. Effectiveness of a 12-month randomized clinical trial to increase physical activity in multiethnic postpartum women: Results from Hawaii's Nā Mikimiki Project. Preventive Medicine 2014;69:214
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Barkley JE, Lepp A, Salehi-Esfahani S. College Students’ Mobile Telephone Use Is Positively Associated With Sedentary Behavior. American Journal of Lifestyle Medicine 2016;10(6):437
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Cabrita M, Tabak M, Vollenbroek-Hutten MM. Older Adults’ Attitudes Toward Ambulatory Technology to Support Monitoring and Coaching of Healthy Behaviors: Qualitative Study. JMIR Aging 2019;2(1):e10476
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Joseph-Shehu EM, Ncama BP, Mooi N, Mashamba-Thompson TP. The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review. BMJ Open 2019;9(10):e029872
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Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451
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Yang Y, Wang C, Wang J, Lin C, Yang YC, Wang J, Yang YK, Yang Y. The Effects of an Activity Promotion System on active living in overweight subjects with metabolic abnormalities. Obesity Research & Clinical Practice 2017;11(6):718
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Yen H, Chiu H. The effectiveness of wearable technologies as physical activity interventions in weight control: A systematic review and meta‐analysis of randomized controlled trials. Obesity Reviews 2019;20(10):1485
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Bardus M, Blake H, Lloyd S, Suzanne Suggs L. Reasons for participating and not participating in a e-health workplace physical activity intervention. International Journal of Workplace Health Management 2014;7(4):229
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Mollee J, Middelweerd A, Kurvers R, Klein M. What technological features are used in smartphone apps that promote physical activity? A review and content analysis. Personal and Ubiquitous Computing 2017;21(4):633
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Ernsting C, Dombrowski SU, Oedekoven M, O´Sullivan JL, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101
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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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Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10003
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Braciszewski JM, Tzilos Wernette GK, Moore RS, Tran TB, Bock BC, Stout RL, Chamberlain P, Vose-O’Neal A. Developing a tailored substance use intervention for youth exiting foster care. Child Abuse & Neglect 2018;77:211
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Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, McTavish F, Gustafson DH. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82
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Bryant Howren M, Van Liew JR, Christensen AJ. Advances in Patient Adherence to Medical Treatment Regimens: The Emerging Role of Technology in Adherence Monitoring and Management. Social and Personality Psychology Compass 2013;7(7):427
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Low CA, Danko M, Durica KC, Kunta AR, Mulukutla R, Ren Y, Bartlett DL, Bovbjerg DH, Dey AK, Jakicic JM. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e17292
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Wang A, An N, Lu X, Chen H, Li C, Levkoff S. A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life. JMIR mhealth and uhealth 2014;2(1):e6
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. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
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Suggs S, Blake H, Bardus M, Lloyd S. Effects of text messaging in addition to emails on physical activity among university and college employees in the UK. Journal of Health Services Research & Policy 2013;18(1_suppl):56
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Horner GN, Agboola S, Jethwani K, Tan-McGrory A, Lopez L. Designing Patient-Centered Text Messaging Interventions for Increasing Physical Activity Among Participants With Type 2 Diabetes: Qualitative Results From the Text to Move Intervention. JMIR mHealth and uHealth 2017;5(4):e54
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Kim J, Chen S, Hwang S. Effectiveness of Web-based physical activity interventions for older adults: A systematic review of randomized controlled trials. INTERNATIONAL JOURNAL OF HUMAN MOVEMENT SCIENCE 2018;12(2):69
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Lepp A, Barkley JE, Li J. Motivations and Experiential Outcomes Associated with Leisure Time Cell Phone Use: Results from Two Independent Studies. Leisure Sciences 2017;39(2):144
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Palacios J, Lee GA, Duaso M, Clifton A, Norman IJ, Richards D, Barley EA. Internet-Delivered Self-management Support for Improving Coronary Heart Disease and Self-management–Related Outcomes. Journal of Cardiovascular Nursing 2017;32(4):E9
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Bice MR, Hollman A, Bickford S, Bickford N, Ball JW, Wiedenman EM, Brown GA, Dinkel D, Adkins M. Kinesiology in 360 Degrees. International Journal of Kinesiology in Higher Education 2017;1(1):9
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Lee D, Frey GC, Min A, Kim B, Cothran DJ, Bellini S, Han K, Shih PC. Usability inquiry of a gamified behavior change app for increasing physical activity and reducing sedentary behavior in adults with and without autism spectrum disorder. Health Informatics Journal 2020;26(4):2992
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Orr JA, King RJ. Mobile phone SMS messages can enhance healthy behaviour: a meta-analysis of randomised controlled trials. Health Psychology Review 2015;9(4):397
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Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2018;6(1):e23
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Bosak K, Park SH. Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis. JMIR Human Factors 2017;4(4):e33
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Phillips SM, Conroy DE, Keadle SK, Pellegrini CA, Lloyd GR, Penedo FJ, Spring B. Breast cancer survivors’ preferences for technology-supported exercise interventions. Supportive Care in Cancer 2017;25(10):3243
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Müller AM, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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Morton K, Sutton S, Hardeman W, Troughton J, Yates T, Griffin S, Davies M, Khunti K, Eborall H. A Text-Messaging and Pedometer Program to Promote Physical Activity in People at High Risk of Type 2 Diabetes: The Development of the PROPELS Follow-On Support Program. JMIR mHealth and uHealth 2015;3(4):e105
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Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1
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Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth 2016;4(2):e72
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Bakker D, Kazantzis N, Rickwood D, Rickard N. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments. JMIR Mental Health 2016;3(1):e7
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Robin N, Toussaint L, Coudevylle GR, Ruart S, Hue O, Sinnapah S. Text Messages Promoting Mental Imagery Increase Self-Reported Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2018;26(3):462
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Smith BJ, Owen AJ, Liew D, Kelly DJ, Reid CM. Prescription of physical activity in the management of high blood pressure in Australian general practices. Journal of Human Hypertension 2019;33(1):50
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Bhattacharjya S, Stafford MC, Cavuoto LA, Yang Z, Song C, Subryan H, Xu W, Langan J. Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement. Journal of NeuroEngineering and Rehabilitation 2019;16(1)
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Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738
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. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311
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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
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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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Antypas K, Wangberg SC. An Internet- and Mobile-Based Tailored Intervention to Enhance Maintenance of Physical Activity After Cardiac Rehabilitation: Short-Term Results of a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e77
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. Technologies for Wellbeing and Healthy Living. International Journal of Handheld Computing Research 2014;5(1):30
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Park J, Lee G, Shin S, Kim JH, Han H, Kwon T, Kim WS, Lee JH. Lessons Learned from the Development of Health Applications in a Tertiary Hospital. Telemedicine and e-Health 2014;20(3):215
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Martin EC, Basen-Engquist K, Cox MG, Lyons EJ, Carmack CL, Blalock JA, Demark-Wahnefried W. Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study. JMIR Cancer 2016;2(1):e1
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Blackman KC, Zoellner J, Kadir A, Dockery B, Johnson SB, Almeida FA, McCrickard DS, Hill JL, You W, Estabrooks PA. Examining the Feasibility of Smartphone Game Applications for Physical Activity Promotion in Middle School Students. Games for Health Journal 2015;4(5):409
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Chu AHY, Ng SHX, Paknezhad M, Gauterin A, Koh D, Brown MS, Müller-Riemenschneider F, Buchowski M. Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults. PLOS ONE 2017;12(2):e0172535
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Donaire-Gonzalez D, de Nazelle A, Seto E, Mendez M, Nieuwenhuijsen MJ, Jerrett M. Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph. Journal of Medical Internet Research 2013;15(6):e111
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Ivanova E, Lindner P, Ly KH, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27
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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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Lizandra J, Devís‐Devís J, Valencia‐Peris A, Tomás JM, Peiró‐Velert C. Screen time and moderate‐to‐vigorous physical activity changes and displacement in adolescence: A prospective cohort study. European Journal of Sport Science 2019;19(5):686
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Smith DM, Duque L, Huffman JC, Healy BC, Celano CM. Text Message Interventions for Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(1):142
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Majrashi K, Borsci S. User need and experience of Hajj mobile and ubiquitous systems: Designing for the largest religious annual gathering. Cogent Engineering 2018;5(1):1480303
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Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539
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de Korte EM, Wiezer N, Janssen JH, Vink P, Kraaij W. Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study. JMIR mHealth and uHealth 2018;6(3):e72
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Adams TL, Taricani E, Pitasi A. The technological convergence innovation. International Review of Sociology 2018;28(3):403
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Vos S, Janssen M, Goudsmit J, Lauwerijssen C, Brombacher A. From Problem to Solution: Developing a Personalized Smartphone Application for Recreational Runners following a Three-step Design Approach. Procedia Engineering 2016;147:799
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Dallinga JM, Mennes M, Alpay L, Bijwaard H, Baart de la Faille-Deutekom M. App use, physical activity and healthy lifestyle: a cross sectional study. BMC Public Health 2015;15(1)
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Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244
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Smith BJ, Cinnadaio N, Cheung NW, Bauman A, Tapsell LC, van der Ploeg HP. Investigation of a lifestyle change strategy for high-risk women with a history of gestational diabetes. Diabetes Research and Clinical Practice 2014;106(3):e60
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Lewis BA, Napolitano MA, Buman MP, Williams DM, Nigg CR. Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. Journal of Behavioral Medicine 2017;40(1):112
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Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9(5S)
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Downs DS, Smyth JM, Heron KE, Feinberg ME, Hillemeier M, Materia FT. Beliefs About Using Smartphones for Health Behavior Change: an Elicitation Study with Overweight and Obese Rural Women. Journal of Technology in Behavioral Science 2019;4(1):33
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Juarascio AS, Goldstein SP, Manasse SM, Forman EM, Butryn ML. Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians. International Journal of Medical Informatics 2015;84(10):808
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Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178
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Antypas K, Wangberg SC. Combining Users’ Needs With Health Behavior Models in Designing an Internet- and Mobile-Based Intervention for Physical Activity in Cardiac Rehabilitation. JMIR Research Protocols 2014;3(1):e4
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Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. Journal of Medical Internet Research 2015;17(8):e195
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Hassandra M, Lintunen T, Hagger MS, Heikkinen R, Vanhala M, Kettunen T. An mHealth App for Supporting Quitters to Manage Cigarette Cravings With Short Bouts of Physical Activity: A Randomized Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(5):e74
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Staffileno BA, Zschunke J, Weber M, Gross LE, Fogg L, Tangney CC. The Feasibility of Using Facebook, Craigslist, and Other Online Strategies to Recruit Young African American Women for a Web-Based Healthy Lifestyle Behavior Change Intervention. Journal of Cardiovascular Nursing 2017;32(4):365
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Keränen NS, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29
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Sullivan JK, Irrgang JJ, Losina E, Safran-Norton C, Collins J, Shrestha S, Selzer F, Bennell K, Bisson L, Chen AT, Dawson CK, Gil AB, Jones MH, Kluczynski MA, Lafferty K, Lange J, Lape EC, Leddy J, Mares AV, Spindler K, Turczyk J, Katz JN. The TeMPO trial (treatment of meniscal tears in osteoarthritis): rationale and design features for a four arm randomized controlled clinical trial. BMC Musculoskeletal Disorders 2018;19(1)
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Choi H, Van Riper M. mHealth Family Adaptation Intervention for Families of Young Children with Down Syndrome: A Feasibility Study. Journal of Pediatric Nursing 2020;50:e69
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Zsila , Orosz G, Bőthe B, Tóth-Király I, Király O, Griffiths M, Demetrovics Z. An empirical study on the motivations underlying augmented reality games: The case of Pokémon Go during and after Pokémon fever. Personality and Individual Differences 2018;133:56
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Pande A, Mohapatra P, Nicorici A, Han JJ. Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e7
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Frei A, Dalla Lana K, Radtke T, Stone E, Knöpfli N, Puhan MA. A novel approach to increase physical activity in older adults in the community using citizen science: a mixed-methods study. International Journal of Public Health 2019;64(5):669
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O’Neil A, Cocker F, Rarau P, Baptista S, Cassimatis M, Barr Taylor C, Lau AY, Kanuri N, Oldenburg B. Using digital interventions to improve the cardiometabolic health of populations: a meta-review of reporting quality. Journal of the American Medical Informatics Association 2017;24(4):867
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Knight E, Stuckey MI, Petrella RJ. Health Promotion Through Primary Care: Enhancing Self-Management With Activity Prescription and mHealth. The Physician and Sportsmedicine 2014;42(3):90
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Robin N, Laurent J, Ruart S. Influence des messages électroniques sur l’activité physique aérobie personnelle et les performances en éducation physique et sportive. Ejournal de la recherche sur l'intervention en éducation physique et sport -eJRIEPS 2018;(43)
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Stuber JM, Mackenbach JD, de Boer FE, de Bruijn G, Gillebaart M, Harbers MC, Hoenink JC, Klein MCA, Middel CNH, van der Schouw YT, Schuitmaker-Warnaar TJ, Velema E, Vos AL, Waterlander WE, Lakerveld J, Beulens JWJ. Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutrition Journal 2020;19(1)
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