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)
- Andersson A, Winslott Hiselius L, Adell E. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model. Travel Behaviour and Society 2018;11:52CrossRef
- Nam J, Kim H. How assistive devices affect activities of daily living and cognitive functions of people with brain injury: a meta-analysis. Disability and Rehabilitation: Assistive Technology 2018;13(3):305CrossRef
- König LM, Sproesser G, Schupp HT, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55CrossRef
- 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;79:155CrossRef
- Liu H, Lee W, Sun Y, Fen J, Chen T, Chou L, Hwang S. Hospital-Owned Apps in Taiwan: Nationwide Survey. JMIR mHealth and uHealth 2018;6(1):e22CrossRef
- 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;9CrossRef
- 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;81:62CrossRef
- Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27CrossRef
- 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):e12572CrossRef
- Braumüller B. Sportbezogenes Handeln in virtuellen sozialen Netzwerken. German Journal of Exercise and Sport Research 2018;48(1):79CrossRef
- 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):82CrossRef
- Phillips SM, Collins LM, Penedo FJ, Courneya KS, Welch W, Cottrell A, Lloyd GR, Gavin K, Cella D, Ackermann RT, Siddique J, Spring B. Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol. Contemporary Clinical Trials 2018;66:9CrossRef
- Chen M, Lin N. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research 2018;28(2):351CrossRef
- Wan N, Wen M, Fan JX, Tavake-Pasi OF, McCormick S, Elliott K, Nicolosi E. Physical Activity Barriers and Facilitators Among US Pacific Islanders and the Feasibility of Using Mobile Technologies for Intervention: A Focus Group Study With Tongan Americans. Journal of Physical Activity and Health 2018;15(4):287CrossRef
- Abrantes AM, Blevins C, Lindsay C, Battle CL, Buman MP, Agu E, Stein M. Formative work in the development of a physical activity smartphone app targeted for patients with alcohol use disorders. Psychology of Sport and Exercise 2018;CrossRef
- 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;79:75CrossRef
- Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44CrossRef
- 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):e72CrossRef
- 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):e28CrossRef
- 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):e23CrossRef
- 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;77:211CrossRef
- 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):9CrossRef
- 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. The Journal of Cardiovascular Nursing 2017;32(4):E9CrossRef
- Forberger S, Bammann K, Bauer J, Boll S, Bolte G, Brand T, Hein A, Koppelin F, Lippke S, Meyer J, Pischke C, Voelcker-Rehage C, Zeeb H. How to Tackle Key Challenges in the Promotion of Physical Activity among Older Adults (65+): The AEQUIPA Network Approach. International Journal of Environmental Research and Public Health 2017;14(4):379CrossRef
- 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):633CrossRef
- 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):e101CrossRef
- Sun L, Wang Y, Greene B, Xiao Q, Jiao C, Ji M, Wu Y. Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases. BMC Medical Informatics and Decision Making 2017;17(1)CrossRef
- Barkley JE, Lepp A, Glickman EL. “Pokémon Go!” May Promote Walking, Discourage Sedentary Behavior in College Students. Games for Health Journal 2017;6(3):165CrossRef
- 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):e54CrossRef
- Hong YA, Forjuoh SN, Ory MG, Reis MD, Sang H. A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2017;6(9):e183CrossRef
- Lynch EA, Borschmann K, Callisaya ML, Fini NA, Janssen H, Johnson L, Jones TM, Kramer S, Kuys S, Mahendran N, Simpson DB, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2017;CrossRef
- Fanning J, Porter G, Awick EA, Ehlers DK, Roberts SA, Cooke G, Burzynska AZ, Voss MW, Kramer AF, McAuley E. Replacing sedentary time with sleep, light, or moderate-to-vigorous physical activity: effects on self-regulation and executive functioning. Journal of Behavioral Medicine 2017;40(2):332CrossRef
- 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):112CrossRef
- Kao C, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9(5):S106CrossRef
- 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):178CrossRef
- Janssen M, Scheerder J, Thibaut E, Brombacher A, Vos S, Guilhem G. Who uses running apps and sports watches? Determinants and consumer profiles of event runners’ usage of running-related smartphone applications and sports watches. PLOS ONE 2017;12(7):e0181167CrossRef
- 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):e0172535CrossRef
- Perle JG, Hommel KA. A Proposed Parent Management Training-Focused Smartphone App: How mHealth Can Foster Improved Inter-session Adherence and Behavioral Monitoring. Journal of Technology in Behavioral Science 2017;2(1):49CrossRef
- 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):3243CrossRef
- 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):e33CrossRef
- Lim JS, Noh G. Effects of gain-versus loss-framed performance feedback on the use of fitness apps: Mediating role of exercise self-efficacy and outcome expectations of exercise. Computers in Human Behavior 2017;77:249CrossRef
- 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):718CrossRef
- Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51CrossRef
- Fanning J, Roberts S, Hillman CH, Mullen SP, Ritterband L, McAuley E. A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine 2017;40(5):712CrossRef
- 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):144CrossRef
- Fournier M, d'Arripe-Longueville F, Radel R. Testing the effect of text messaging cues to promote physical activity habits: a worksite-based exploratory intervention. Scandinavian Journal of Medicine & Science in Sports 2017;27(10):1157CrossRef
- 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):226CrossRef
- 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):e114CrossRef
- Liukkonen M, Nygård C, Laukkanen R. A Cluster Randomized Controlled Trial on the Effects of Technology-aided Testing and Feedback on Physical Activity and Biological Age Among Employees in a Medium-sized Enterprise. Safety and Health at Work 2017;8(4):393CrossRef
- 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):450CrossRef
- Michard F, Gan T, Kehlet H. Digital innovations and emerging technologies for enhanced recovery programmes. British Journal of Anaesthesia 2017;119(1):31CrossRef
- Michard F. A sneak peek into digital innovations and wearable sensors for cardiac monitoring. Journal of Clinical Monitoring and Computing 2017;31(2):253CrossRef
- 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):867CrossRef
- 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):77CrossRef
- 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):e29CrossRef
- Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185CrossRef
- 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. The Journal of Cardiovascular Nursing 2017;32(4):365CrossRef
- 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 2017;CrossRef
- 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):e74CrossRef
- 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):e7CrossRef
- Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24CrossRef
- Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1CrossRef
- McEwan D, Harden SM, Zumbo BD, Sylvester BD, Kaulius M, Ruissen GR, Dowd AJ, Beauchamp MR. The effectiveness of multi-component goal setting interventions for changing physical activity behaviour: a systematic review and meta-analysis. Health Psychology Review 2016;10(1):67CrossRef
- Baranowski T. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293CrossRef
- 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)CrossRef
- 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
- 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)CrossRef
- 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):e1CrossRef
- Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1CrossRef
- 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):e7CrossRef
- 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;44:27CrossRef
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- White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of the Milk Man mobile app. Health Promotion Journal of Australia 2016;27(3):198CrossRef
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- Chrisman M, Chow W, Daniel CR, Wu X, Zhao H. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort. JMIR mHealth and uHealth 2016;4(2):e54CrossRef
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- Dominick GM, Winfree KN, Pohlig RT, Papas MA. Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions. JMIR mHealth and uHealth 2016;4(3):e110CrossRef
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- Monroe CM, Thompson DL, Bassett DR, Fitzhugh EC, Raynor HA. Usability of Mobile Phones in Physical Activity–Related Research: A Systematic Review. American Journal of Health Education 2015;46(4):196CrossRef
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