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)
- Chan NN, Walker C, Gleaves A. An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach. Computers & Education 2015;82:96CrossRef
- Newton Jr RL, Marker AM, Allen HR, Machtmes R, Han H, Johnson WD, Schuna Jr JM, Broyles ST, Tudor-Locke C, Church TS. Parent-Targeted Mobile Phone Intervention to Increase Physical Activity in Sedentary Children: Randomized Pilot Trial. JMIR mHealth and uHealth 2014;2(4):e48CrossRef
- Devi R, Powell J, Singh S. A Web-Based Program Improves Physical Activity Outcomes in a Primary Care Angina Population: Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(9):e186CrossRef
- 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):e77CrossRef
- Bort-Roig J, Gilson ND, Puig-Ribera A, Contreras RS, Trost SG. Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine 2014;44(5):671CrossRef
- 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;69:214CrossRef
- 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):e4CrossRef
- Saffari M, Ghanizadeh G, Koenig HG. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis. Primary Care Diabetes 2014;8(4):275CrossRef
- Hebden L, Cook A, van der Ploeg HP, King L, Bauman A, Allman-Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. Journal of Human Nutrition and Dietetics 2014;27(4):322CrossRef
- 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):e60CrossRef
- 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):e6CrossRef
- 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):215CrossRef
- 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):347CrossRef
- Fjeldsoe B, Phongsavan P, Bauman A, Goode A, Maher G, Eakin E. ‘Get Healthy, Stay Healthy’: protocol for evaluation of a lifestyle intervention delivered by text-message following the Get Healthy Information and Coaching Service®. BMC Public Health 2014;14(1):112CrossRef
- Tabak M, op den Akker H, Hermens H. Motivational cues as real-time feedback for changing daily activity behavior of patients with COPD. Patient Education and Counseling 2014;94(3):372CrossRef
- 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):229CrossRef
- Flores M, Glusman G, Brogaard K, Price ND, Hood L. P4 medicine: how systems medicine will transform the healthcare sector and society. Personalized Medicine 2013;10(6):565CrossRef
- Lindner P, Ivanova E, Ly K, Andersson G, Carlbring P. Guided and unguided CBT for social anxiety disorder and/or panic disorder via the Internet and a smartphone application: study protocol for a randomised controlled trial. Trials 2013;14(1):437CrossRef
- O’Reilly GA, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501CrossRef
- 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):427CrossRef
- Meyer J, Hein A. Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases. Medicine 2.0 2013;2(2):e7CrossRef
- Blackman KC, Zoellner J, Berrey LM, Alexander R, Fanning J, Hill JL, Estabrooks PA. Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework. Journal of Medical Internet Research 2013;15(10):e224CrossRef
- Buchholz SW, Ingram D, Wilbur J, Pelt P. Using Photos to Develop Text Messages to Promote Walking. Journal of Nursing Scholarship 2013;45(4):380CrossRef
- 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):e111CrossRef
- Lepp A, Barkley JE, Sanders GJ, Rebold M, Gates P. The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity 2013;10(1):79CrossRef