Published on 14.07.11 in Vol 13, No 3 (2011): Jul-Sep
Works citing "Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1770):
(note that this is only a small subset of citations)
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Shim H, Kim Y, Park M. Differences on Satisfaction of Healthcare Applications by Smartphone Users' Characteristics. Journal of the Korea Academia-Industrial cooperation Society 2016;17(7):410
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. Applying mobile technologies to mental health service delivery in South Asia. Asian Journal of Psychiatry 2012;5(3):225
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Dennison L, Morrison L, Conway G, Yardley L. Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior change: Qualitative Study. Journal of Medical Internet Research 2013;15(4):e86
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Walker R, Koh L, Wollersheim D, Liamputtong P. Social connectedness and mobile phone use among refugee women in Australia. Health & Social Care in the Community 2015;23(3):325
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Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
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Nathalie Lyzwinski L, Caffery L, Bambling M, Edirippulige S. University Students’ Perspectives on Mindfulness and mHealth: A Qualitative Exploratory Study. American Journal of Health Education 2018;49(6):341
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Haas K, Hayoz S, Maurer-Wiesner S. Effectiveness and Feasibility of a Remote Lifestyle Intervention by Dietitians for Overweight and Obese Adults: Pilot Study. JMIR mHealth and uHealth 2019;7(4):e12289
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Claudel SE, Ceasar JN, Andrews MR, El-Toukhy S, Farmer N, Middleton KR, Sabado-Liwag M, Mitchell VM, Tamura K, Brooks AT, Wallen GR, Powell-Wiley TM. Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity. BMJ Health & Care Informatics 2020;27(3):e100140
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Guo X, Sun Y, Wang N, Peng Z, Yan Z. The dark side of elderly acceptance of preventive mobile health services in China. Electronic Markets 2013;23(1):49
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Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290
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El Morr C, Maule C, Ashfaq I, Ritvo P, Ahmad F. Design of a Mindfulness Virtual Community: A focus-group analysis. Health Informatics Journal 2020;26(3):1560
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Mann D, Riddell L, Lim K, Byrne LK, Nowson C, Rigo M, Szymlek-Gay EA, Booth AO. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR mHealth and uHealth 2015;3(3):e92
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Nour MM, Rouf AS, Allman-Farinelli M. Exploring young adult perspectives on the use of gamification and social media in a smartphone platform for improving vegetable intake. Appetite 2018;120:547
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Charbonneau DH, Hightower S, Katz A, Zhang K, Abrams J, Senft N, Beebe-Dimmer JL, Heath E, Eaton T, Thompson HS. Smartphone apps for cancer: A content analysis of the digital health marketplace. DIGITAL HEALTH 2020;6:205520762090541
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Lin F, Wang C, Shang RJ, Hsiao F, Lin M, Hung K, Wang J, Lin Z, Lai F, Shen L, Huang C. Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System. Journal of Medical Internet Research 2018;20(4):e142
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Avis JL, van Mierlo T, Fournier R, Ball GD. Lessons Learned From Using Focus Groups to Refine Digital Interventions. JMIR Research Protocols 2015;4(3):e95
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O’Connor S, Hanlon P, O’Donnell CA, Garcia S, Glanville J, Mair FS. Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Medical Informatics and Decision Making 2016;16(1)
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Tamí-Maury I, Brown L, Lapham H, Chang S. Community-based participatory research through virtual communities. Journal of Communication in Healthcare 2017;:1
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Vandelanotte C, Caperchione CM, Ellison M, George ES, Maeder A, Kolt GS, Duncan MJ, Karunanithi M, Noakes M, Hooker C, Viljoen P, Mummery WK. What Kinds of Website and Mobile Phone–Delivered Physical Activity and Nutrition Interventions Do Middle-Aged Men Want?. Journal of Health Communication 2013;18(9):1070
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Mendez-Luck CA, Bethel JW, Goins RT, Schure MB, McDermott E. Community as a source of health in three racial/ethnic communities in Oregon: a qualitative study. BMC Public Health 2015;15(1)
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Fukuoka Y, Lindgren TG, Bonnet K, Kamitani E. Perception and Sense of Control Over Eating Behaviors Among a Diverse Sample of Adults at Risk for Type 2 Diabetes. The Diabetes Educator 2014;40(3):308
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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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Yan Z, Wang T, Chen Y, Zhang H. Knowledge sharing in online health communities: A social exchange theory perspective. Information & Management 2016;53(5):643
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Yoo W, Shah DV, Chih M, Gustafson DH. A smartphone-based support group for alcoholism: Effects of giving and receiving emotional support on coping self-efficacy and risky drinking. Health Informatics Journal 2020;26(3):1764
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Miyamoto SW, Henderson S, Young HM, Pande A, Han JJ. Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change. JMIR mHealth and uHealth 2016;4(1):e5
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Yoo W, Shah DV, Chih M, Gustafson DH. Predicting changes in giving and receiving emotional support within a smartphone-based alcoholism support group. Computers in Human Behavior 2018;78:261
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Fukuoka Y, Lindgren T, Jong S. Qualitative Exploration of the Acceptability of a Mobile Phone and Pedometer‐Based Physical Activity Program in a Diverse Sample of Sedentary Women. Public Health Nursing 2012;29(3):232
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Gupta A, Deokar A, Iyer L, Sharda R, Schrader D. Big Data & Analytics for Societal Impact: Recent Research and Trends. Information Systems Frontiers 2018;20(2):185
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Koh LC, Walker R, Wollersheim D, Liamputtong P. I think someone is walking with me: the use of mobile phone for social capital development among women in four refugee communities. International Journal of Migration, Health and Social Care 2018;14(4):411
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Lieffers JRL, Hanning RM. Dietary Assessment and Self-monitoring: With Nutrition Applications for Mobile Devices. Canadian Journal of Dietetic Practice and Research 2012;73(3):e253
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Willcox JC, van der Pligt P, Ball K, Wilkinson SA, Lappas M, McCarthy EA, Campbell KJ. Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation. JMIR mHealth and uHealth 2015;3(4):e99
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Tamim SR, Grant MM. Exploring how health professionals create eHealth and mHealth education interventions. Educational Technology Research and Development 2016;64(6):1053
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King DK, Toobert DJ, Portz JD, Strycker LA, Doty A, Martin C, Boggs JM, Faber AJ, Geno CR, Glasgow RE. What patients want: relevant health information technology for diabetes self-management. Health and Technology 2012;2(3):147
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Hawley-Hague H, Tacconi C, Mellone S, Martinez E, Easdon A, Yang FB, Su T, Mikolaizak AS, Chiari L, Helbostad JL, Todd C. Can smartphone technology be used to support an effective home exercise intervention to prevent falls amongst community dwelling older adults?: the TOGETHER feasibility RCT study protocol. BMJ Open 2019;9(9):e028100
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Balatsoukas P, Kennedy CM, Buchan I, Powell J, Ainsworth J. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. Journal of Medical Internet Research 2015;17(6):e141
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Merchant G, Weibel N, Patrick K, Fowler JH, Norman GJ, Gupta A, Servetas C, Calfas K, Raste K, Pina L, Donohue M, Griswold WG, Marshall S. Click “Like” to Change Your Behavior: A Mixed Methods Study of College Students’ Exposure to and Engagement With Facebook Content Designed for Weight Loss. Journal of Medical Internet Research 2014;16(6):e158
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Hawley-Hague H, Tacconi C, Mellone S, Martinez E, Ford C, Chiari L, Helbostad J, Todd C. Smartphone Apps to Support Falls Rehabilitation Exercise: App Development and Usability and Acceptability Study. JMIR mHealth and uHealth 2020;8(9):e15460
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Papi E, Chiou S, McGregor AH. Feasibility and acceptability study on the use of a smartphone application to facilitate balance training in the ageing population. BMJ Open 2020;10(12):e039054
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Chang L, Chattopadhyay K, Li J, Xu M, Li L. Interplay of Support, Comparison, and Surveillance in Social Media Weight Management Interventions: Qualitative Study. JMIR mHealth and uHealth 2021;9(3):e19239
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Chow JC, Elizabeth Pathak L, Yeh ST. Using mobile apps in social work behavioral health care service: The case for China. International Social Work 2021;64(5):689
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Basen-Engquist K, Raber M, Strong LL, Schembre S, Li L, Arun B, Lu K, You N, Vilar E, Lynch P, Fares S, Peterson SK. Optimization of an mHealth lifestyle intervention for families with hereditary cancer syndromes: Study protocol for a multiphase optimization strategy feasibility study. Contemporary Clinical Trials 2022;113:106662
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Daryabeygi-Khotbehsara R, Shariful Islam SM, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review. Journal of Medical Internet Research 2021;23(9):e26315
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Kela N, Eytam E, Katz A. Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study. JMIR Human Factors 2022;9(1):e28697
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C Braga B, Nguyen PH, Aberman N, Doyle F, Folson G, Hoang N, Huynh P, Koch B, McCloskey P, Tran L, Hughes D, Gelli A. Exploring an Artificial Intelligence–Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study. JMIR Formative Research 2022;6(7):e35197
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. Photoprotection and skin self-examination in primary attention users: the impact of smartphone as a tool for education. Journal of Dermatology & Cosmetology 2020;4(4):92
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Kirley K, Sachdev N. Digital Health–Supported Lifestyle Change Programs to Prevent Type 2 Diabetes. Diabetes Spectrum 2018;31(4):303
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Nau T, Owen A, Mazza D, Smith BJ. Engaging primary care providers in a mobile health strategy to support lifestyle change and blood pressure management. DIGITAL HEALTH 2021;7:205520762110667
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Wang Z, Shi Q, Zeng Y, Li Y. Experiences and perceptions of self‐management in people with prediabetes: A qualitative meta‐synthesis. Journal of Clinical Nursing 2023;32(17-18):5886
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Mahmoodi Kahriz B, Snuggs S, Sah A, Clot S, Lamport D, Forrest J, Helme-Guizon A, Wilhelm M, Caldara C, Anin CV, Vogt J. Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries. JMIR Human Factors 2023;10:e44993
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1770):
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Khan ZM, Ahmed R, Sen D. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. 2021. chapter 5:113
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. Emotions, Technology, and Health. 2016. :41
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Khan ZM, Ahmed R, Sen D. Research Anthology on Securing Mobile Technologies and Applications. 2021. chapter 37:667
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Khan ZM, Ahmed R, Sen D. Research Anthology on Privatizing and Securing Data. 2021. chapter 94:1929
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Antolín-Prieto R, Ruiz-Lacaci N, Reyes-Menendez A. Management and Marketing for Improved Competitiveness and Performance in the Healthcare Sector. 2021. chapter 11:238
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Hyypiö H, Giri S, Oinas-Kukkonen H. Persuasive Technology. 2024. Chapter 14:176
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