Published on 17.12.10 in Vol 12, No 4 (2010): Oct-Dec
Works citing "An Online Community Improves Adherence in an Internet-Mediated Walking Program. Part 1: Results of a Randomized Controlled Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1338):
(note that this is only a small subset of citations)
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Aarts JW, Faber MJ, den Boogert AG, Cohlen BJ, van der Linden PJ, Kremer JA, Nelen WL. Barriers and Facilitators for the Implementation of an Online Clinical Health Community in Addition to Usual Fertility Care: A Cross-Sectional Study. Journal of Medical Internet Research 2013;15(8):e163
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Kumar AM, Lyden AK, Carlozzi NE, Sen A, Richardson CR, Jackson EA. The Physical Activity Daily (PAD) Trial: The rationale and design of a randomized controlled trial evaluating an internet walking program to improve maximal walking distance among patients with peripheral arterial disease. Contemporary Clinical Trials 2018;67:23
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Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(8):e19216
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Kamal N, Fels S, Fergusson M. Online social networks for health behaviour change: Designing to increase socialization. Computers in Human Behavior 2014;41:444
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Compernolle S, Vandelanotte C, Cardon G, De Bourdeaudhuij I, De Cocker K. Effectiveness of a Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Intervention for Adults: A Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(2):e38
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Rider BC, Bassett DR, Thompson DL, Steeves EA, Raynor H. Monitoring Capabilities of the Omron HJ-720ITC Pedometer. The Physician and Sportsmedicine 2014;42(1):24
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Pedersen DH, Mansourvar M, Sortsø C, Schmidt T. Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors. Journal of Medical Internet Research 2019;21(9):e13617
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Du H, Venkatakrishnan A, Youngblood GM, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4
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Nakhasi A, Shen AX, Passarella RJ, Appel LJ, Anderson CA. Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis. Journal of Medical Internet Research 2014;16(6):e153
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Goodrich DE, Buis LR, Janney AW, Ditty MD, Krause CW, Zheng K, Sen A, Strecher VJ, Hess ML, Piette JD, Richardson CR. Integrating an internet-mediated walking program into family medicine clinical practice: a pilot feasibility study. BMC Medical Informatics and Decision Making 2011;11(1)
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Karmali KN, Davies P, Taylor F, Beswick A, Martin N, Ebrahim S. Promoting patient uptake and adherence in cardiac rehabilitation. Cochrane Database of Systematic Reviews 2014;
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Imanaka M, Ando M, Kitamura T, Kawamura T. Effectiveness of Web-Based Self-Disclosure Peer-to-Peer Support for Weight Loss: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(7):e136
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Zarinsefat A, Terjimanian MN, Sheetz KH, Stein IC, Mazurek AA, Waits SA, Sullivan JA, Wang SC, Englesbe MJ. Perioperative changes in trunk musculature and postoperative outcomes. Journal of Surgical Research 2014;191(1):106
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Al Ayubi SU, Parmanto B, Branch R, Ding D. A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study. JMIR mHealth and uHealth 2014;2(2):e25
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Aarts J, van den Haak P, Nelen W, Tuil W, Faber M, Kremer J. Patient-focused Internet interventions in reproductive medicine: a scoping review. Human Reproduction Update 2012;18(2):211
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Stellefson M, Chaney B, Barry AE, Chavarria E, Tennant B, Walsh-Childers K, Sriram P, Zagora J. Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review. Journal of Medical Internet Research 2013;15(2):e35
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Oprescu F, Campo S, Lowe J, Andsager J, Morcuende JA. Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community. Journal of Medical Internet Research 2013;15(1):e16
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Amann J, Zanini C, Rubinelli S, van Rijnsoever F. What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. PLOS ONE 2016;11(6):e0156175
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Beishuizen CR, Stephan BC, van Gool WA, Brayne C, Peters RJ, Andrieu S, Kivipelto M, Soininen H, Busschers WB, Moll van Charante EP, Richard E. Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2016;18(3):e55
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Rovniak LS, Sallis JF, Kraschnewski JL, Sciamanna CN, Kiser EJ, Ray CA, Chinchilli VM, Ding D, Matthews SA, Bopp M, George DR, Hovell MF. Engineering online and in-person social networks to sustain physical activity: application of a conceptual model. BMC Public Health 2013;13(1)
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Mailey EL, Irwin BC, Joyce JM, Hsu W. InDependent but not Alone: A Web‐Based Intervention to Promote Physical and Mental Health among Military Spouses. Applied Psychology: Health and Well-Being 2019;11(3):562
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Kwon BC, Kim S, Lee S, Choo J, Huh J, Yi JS. VisOHC: Designing Visual Analytics for Online Health Communities. IEEE Transactions on Visualization and Computer Graphics 2016;22(1):71
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Cavallo DN, Tate DF, Ries AV, Brown JD, DeVellis RF, Ammerman AS. A Social Media–Based Physical Activity Intervention. American Journal of Preventive Medicine 2012;43(5):527
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Vorderstrasse A, Lewinski A, Melkus GD, Johnson C. Social Support for Diabetes Self-Management via eHealth Interventions. Current Diabetes Reports 2016;16(7)
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Buis LR. The Potential for Web-Based Social Network Sites and Self-Regulation for Health Promotion. American Journal of Health Promotion 2011;26(2):73
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Moy ML, Martinez CH, Kadri R, Roman P, Holleman RG, Kim HM, Nguyen HQ, Cohen MD, Goodrich DE, Giardino ND, Richardson CR. Long-Term Effects of an Internet-Mediated Pedometer-Based Walking Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(8):e215
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Nijland N, van Gemert-Pijnen JE, Kelders SM, Brandenburg BJ, Seydel ER. Factors Influencing the Use of a Web-Based Application for Supporting the Self-Care of Patients with Type 2 Diabetes: A Longitudinal Study. Journal of Medical Internet Research 2011;13(3):e71
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Wilson DK, Sweeney AM, Law LH, Kitzman-Ulrich H, Resnicow K. Web-Based Program Exposure and Retention in the Families Improving Together for Weight Loss Trial. Annals of Behavioral Medicine 2019;53(4):399
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Holtz B, Krein SL, Bentley DR, Hughes ME, Giardino ND, Richardson CR. Comparison of Veteran experiences of low-cost, home-based diet and exercise interventions. Journal of Rehabilitation Research and Development 2014;51(1):149
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Zhou S, Hill RA, Morgan K, Stratton G, Gravenor MB, Bijlsma G, Brophy S. Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity. BMJ Open 2015;5(5):e007447
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Pirolli P, Youngblood GM, Du H, Konrad A, Nelson L, Springer A. Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Human–Computer Interaction 2018;:1
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Vitger T, Langberg H, Grabowski D. Mutual Involvement in Families With Type 2 Diabetes Through Web-Based Health Care Solutions: Quantitative Survey Study of Family Preferences, Challenges, and Potentials. JMIR Diabetes 2017;2(2):e23
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Cormack F, McCue M, Taptiklis N, Skirrow C, Glazer E, Panagopoulos E, van Schaik TA, Fehnert B, King J, Barnett JH. Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study. JMIR Mental Health 2019;6(11):e12814
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Matthews LJ, DeWan P, Rula EY, Holme P. Methods for Inferring Health-Related Social Networks among Coworkers from Online Communication Patterns. PLoS ONE 2013;8(2):e55234
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Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6
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Kattelmann KK, Bredbenner CB, White AA, Greene GW, Hoerr SL, Kidd T, Colby S, Horacek TM, Phillips BW, Koenings MM, Brown ON, Olfert MD, Shelnutt KP, Morrell JS. The Effects of Young Adults Eating and Active for Health (YEAH): A Theory-Based Web-Delivered Intervention. Journal of Nutrition Education and Behavior 2014;46(6):S27
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Brown WA, Burton PR, Shaw K, Smith B, Maffescioni S, Comitti B, Cowley MA, Laurie C, Way A, Nottle P. A Pre-Hospital Patient Education Program Improves Outcomes of Bariatric Surgery. Obesity Surgery 2016;26(9):2074
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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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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):e186
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Schulz DN, Kremers SP, Vandelanotte C, van Adrichem MJ, Schneider F, Candel MJ, de Vries H. Effects of a Web-Based Tailored Multiple-Lifestyle Intervention for Adults: A Two-Year Randomized Controlled Trial Comparing Sequential and Simultaneous Delivery Modes. Journal of Medical Internet Research 2014;16(1):e26
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Allam A, Kostova Z, Nakamoto K, Schulz PJ. The Effect of Social Support Features and Gamification on a Web-Based Intervention for Rheumatoid Arthritis Patients: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(1):e14
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Rovniak LS, Kong L, Hovell MF, Ding D, Sallis JF, Ray CA, Kraschnewski JL, Matthews SA, Kiser E, Chinchilli VM, George DR, Sciamanna CN. Engineering Online and In-Person Social Networks for Physical Activity: A Randomized Trial. Annals of Behavioral Medicine 2016;50(6):885
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Kurti AN, Dallery J. Internet-based contingency management increases walking in sedentary adults. Journal of Applied Behavior Analysis 2013;46(3):568
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Resnick PJ, Janney AW, Buis LR, Richardson CR. Adding an Online Community to an Internet-Mediated Walking Program. Part 2: Strategies for Encouraging Community Participation. Journal of Medical Internet Research 2010;12(4):e72
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Nordfeldt S, Berterö C. Young Patients’ Views on the Open Web 2.0 Childhood Diabetes Patient Portal: A Qualitative Study. Future Internet 2012;4(2):514
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Mercer K, Li M, Giangregorio L, Burns C, Grindrod K. Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis. JMIR mHealth and uHealth 2016;4(2):e40
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Yamashita K, Yamashita T, Sato M, Inoue M, Takase Y. The Effects of an 18-Month Walking Habit Intervention on Reducing the Medical Costs of Diabetes, Hypertension, and Hyperlipidemia—A Prospective Study. Advanced Biomedical Engineering 2020;9:117
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Lisón JF, Palomar G, Mensorio MS, Baños RM, Cebolla-Martí A, Botella C, Benavent-Caballer V, Rodilla E. Impact of a Web-Based Exercise and Nutritional Education Intervention in Patients Who Are Obese With Hypertension: Randomized Wait-List Controlled Trial. Journal of Medical Internet Research 2020;22(4):e14196
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Buis LR, Hirzel L, Turske SA, Des Jardins TR, Yarandi H, Bondurant P. Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part I): Assessment of Participant Reach and Adoption. Journal of Medical Internet Research 2013;15(12):e281
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Hochberg LS, Murphy KD, O’Brien PE, Brennan L. Laparoscopic Adjustable Gastric Banding (LAGB) Aftercare Attendance and Attrition. Obesity Surgery 2015;25(9):1693
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Skousen T, Safadi H, Young C, Karahanna E, Safadi S, Chebib F. Successful Moderation in Online Patient Communities: Inductive Case Study. Journal of Medical Internet Research 2020;22(3):e15983
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Connelly J, Kirk A, Masthoff J, MacRury S. The use of technology to promote physical activity in Type 2 diabetes management: a systematic review. Diabetic Medicine 2013;30(12):1420
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Tallner A, Pfeifer K, Mäurer M. Web-based interventions in multiple sclerosis: the potential of tele-rehabilitation. Therapeutic Advances in Neurological Disorders 2016;9(4):327
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Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
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Kim C, Draska M, Hess ML, Wilson EJ, Richardson CR. A web-based pedometer programme in women with a recent history of gestational diabetes. Diabetic Medicine 2012;29(2):278
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James DC, Harville C, Sears C, Efunbumi O, Bondoc I. Participation of African Americans in e-Health and m-Health Studies: A Systematic Review. Telemedicine and e-Health 2017;23(5):351
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Gibbons MC, Fleisher L, Slamon RE, Bass S, Kandadai V, Beck JR. Exploring the Potential of Web 2.0 to Address Health Disparities. Journal of Health Communication 2011;16(sup1):77
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Raggatt M, Wright CJC, Carrotte E, Jenkinson R, Mulgrew K, Prichard I, Lim MSC. “I aspire to look and feel healthy like the posts convey”: engagement with fitness inspiration on social media and perceptions of its influence on health and wellbeing. BMC Public Health 2018;18(1)
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Verwimp J, Ameye L, Bruyneel M. Correlation between sleep parameters, physical activity and quality of life in somnolent moderate to severe obstructive sleep apnea adult patients. Sleep and Breathing 2013;17(3):1039
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Moy ML, Collins RJ, Martinez CH, Kadri R, Roman P, Holleman RG, Kim HM, Nguyen HQ, Cohen MD, Goodrich DE, Giardino ND, Richardson CR. An Internet-Mediated Pedometer-Based Program Improves Health-Related Quality-of-Life Domains and Daily Step Counts in COPD. Chest 2015;148(1):128
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Portz JD, Miller A, Foster B, Laudeman L. Persuasive features in health information technology interventions for older adults with chronic diseases: a systematic review. Health and Technology 2016;6(2):89
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Bashshur RL, Howell JD, Krupinski EA, Harms KM, Bashshur N, Doarn CR. The Empirical Foundations of Telemedicine Interventions in Primary Care. Telemedicine and e-Health 2016;22(5):342
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Leitan ND, Michalak EE, Berk L, Berk M, Murray G. Optimizing delivery of recovery-oriented online self-management strategies for bipolar disorder: a review. Bipolar Disorders 2015;17(2):115
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Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research 2012;14(6):e173
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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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Hales SB, Grant B, Barr-Anderson DJ, Turner-McGrievy GM. Examining the impact of an online social media challenge on participant physical activity and body weight in the United States. Sport in Society 2016;19(10):1690
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Gee PM, Greenwood DA, Paterniti DA, Ward D, Miller LMS. The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach. Journal of Medical Internet Research 2015;17(4):e86
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Zulman DM, Damschroder LJ, Smith RG, Resnick PJ, Sen A, Krupka EL, Richardson CR. Implementation and evaluation of an incentivized Internet-mediated walking program for obese adults. Translational Behavioral Medicine 2013;3(4):357
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Buis LR, Dawood K, Kadri R, Dawood R, Richardson CR, Djuric Z, Sen A, Plegue M, Hutton D, Brody A, McNaughton CD, Brook RD, Levy P. Improving Blood Pressure Among African Americans With Hypertension Using a Mobile Health Approach (the MI-BP App): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(1):e12601
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Chang RC, Lu H, Yang P, Luarn P. Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors. JMIR mHealth and uHealth 2016;4(3):e84
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Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
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Mendoza-Herrera K, Valero-Morales I, Ocampo-Granados ME, Reyes-Morales H, Arce-Amaré F, Barquera S. An Overview of Social Media Use in the Field of Public Health Nutrition: Benefits, Scope, Limitations, and a Latin American Experience. Preventing Chronic Disease 2020;17
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Dahl AA, Hales SB, Turner-McGrievy GM. Integrating social media into weight loss interventions. Current Opinion in Psychology 2016;9:11
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Kovacs G, Wu Z, Bernstein MS. Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
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Sieverink F, Kelders SM, van Gemert-Pijnen JE. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402
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Kirk JK, Ebert CN, Gamble GP, Ebert CE. Social support strategies in adult patients with diabetes: a review of strategies in the USA and Europe. Expert Review of Endocrinology & Metabolism 2013;8(4):379
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Hewitt-Taylor J, Bond CS. What E-patients Want From the Doctor-Patient Relationship: Content Analysis of Posts on Discussion Boards. Journal of Medical Internet Research 2012;14(6):e155
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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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Simeon R, Dewidar O, Trawin J, Duench S, Manson H, Pardo Pardo J, Petkovic J, Hatcher Roberts J, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review. Journal of Medical Internet Research 2020;22(6):e16002
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1338):
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Wetter T. Consumer Health Informatics. 2016. Chapter 9:189
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Kamal N, Fels S, McGrenere J, Nance K. Human-Computer Interaction – INTERACT 2013. 2013. Chapter 49:708
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Shephard RJ. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. 2016. Chapter 8:197
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Hooker D, Shen N, Ho K. Technology Enabled Knowledge Translation for eHealth. 2012. Chapter 10:153
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Karimi HA, Zgibor JC, Piatt GA, Socharoentum M. Smart City 360°. 2016. Chapter 16:192
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Condon L, Coulson N. Behavior Change Research and Theory. 2017. :27
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Schrammel J, Prost S, Mattheiss E, Bothos E, Tscheligi M. Persuasive Technology. 2015. Chapter 15:160
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El Morr C, Eftychiou L. The Digitization of Healthcare. 2017. Chapter 6:99
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