Published on 09.11.16 in Vol 18, No 11 (2016): November
Works citing "mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6171):
(note that this is only a small subset of citations)
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Poppe L, De Bourdeaudhuij I, Verloigne M, Shadid S, Van Cauwenberg J, Compernolle S, Crombez G. Efficacy of a Self-Regulation–Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials. Journal of Medical Internet Research 2019;21(8):e13363
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Parker S, Prince A, Thomas L, Song H, Milosevic D, Harris MF. Electronic, mobile and telehealth tools for vulnerable patients with chronic disease: a systematic review and realist synthesis. BMJ Open 2018;8(8):e019192
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Wurst R, Maliezefski A, Ramsenthaler C, Brame J, Fuchs R. Effects of Incentives on Adherence to a Web-Based Intervention Promoting Physical Activity: Naturalistic Study. Journal of Medical Internet Research 2020;22(7):e18338
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Danaher J, Nyholm S, Earp BD. The Quantified Relationship. The American Journal of Bioethics 2018;18(2):3
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Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884
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Baumel A, Faber K, Mathur N, Kane JM, Muench F. Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research 2017;19(3):e82
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Cheung KL, Wijnen B, de Vries H. A Review of the Theoretical Basis, Effects, and Cost Effectiveness of Online Smoking Cessation Interventions in the Netherlands: A Mixed-Methods Approach. Journal of Medical Internet Research 2017;19(6):e230
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Lozano-Lozano M, Galiano-Castillo N, Martín-Martín L, Pace-Bedetti N, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Monitoring Energy Balance in Breast Cancer Survivors Using a Mobile App: Reliability Study. JMIR mHealth and uHealth 2018;6(3):e67
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Carrillo-Larco RM, Jiwani SS, Diez-Canseco F, Kanter R, Beratarrechea A, Irazola V, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda JJ. Implementation Tells Us More Beyond Pooled Estimates: Secondary Analysis of a Multicountry mHealth Trial to Reduce Blood Pressure. JMIR mHealth and uHealth 2018;6(11):e10226
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Manios Y, Lambrinou C, Mavrogianni C, Cardon G, Lindström J, Iotova V, Tankova T, Rurik I, Van Stappen V, Kivelä J, Mateo-Gallego R, Moreno LA, Makrilakis K, Androutsos O. Lifestyle Changes Observed among Adults Participating in a Family- and Community-Based Intervention for Diabetes Prevention in Europe: The 1st Year Results of the Feel4Diabetes-Study. Nutrients 2020;12(7):1949
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Boudreau F, Dagenais GR, de Vries H, Walthouwer MJL, Côté J, Turbide G, Bourlaud A, Poirier P. Effectiveness of a web-based computer-tailored intervention promoting physical activity for adults from Quebec City: a randomized controlled trial. Health Psychology and Behavioral Medicine 2020;8(1):601
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Uribe-Toril J, Ruiz-Real JL, Nievas-Soriano BJ. A Study of eHealth from the Perspective of Social Sciences. Healthcare 2021;9(2):108
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Karatzi K, Moschonis G, Botsi E, Liatis S, Tsochev K, De Miguel-Etayo P, Kivelä J, Wikström K, Dimova R, Antal E, Lamiquiz-Moneo I, Rurik I, Cardon G, Iotova V, Makrilakis K, Manios Y. Lipidemic Profile Changes over a Two-Year Intervention Period: Who Benefited Most from the Feel4Diabetes Program?. Nutrients 2020;12(12):3736
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Mahony C, Heavin C, Sammon D. Health-related information resource use: an exploratory study of expectant mothers. Journal of Decision Systems 2022;31(3):234
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Kemp BJ, Thompson DR, Watson CJ, McGuigan K, Woodside JV, Ski CF. Effectiveness of family-based eHealth interventions in cardiovascular disease risk reduction: A systematic review. Preventive Medicine 2021;149:106608
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Lee S, Patel P, Myers ND, Pfeiffer KA, Smith AL, Kelly KS. A Systematic Review of eHealth Interventions to Promote Physical Activity in Adults with Obesity or Overweight. Behavioral Medicine 2023;49(3):213
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Sui W, Rush J, Rhodes RE. Engagement With Web-Based Fitness Videos on YouTube and Instagram During the COVID-19 Pandemic: Longitudinal Study. JMIR Formative Research 2022;6(3):e25055
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Patnode CD, Redmond N, Iacocca MO, Henninger M. Behavioral Counseling Interventions to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors. JAMA 2022;328(4):375
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Nievas-Soriano BJ, García-Duarte S, Fernández-Alonso AM, Bonillo-Perales A, Parrón-Carreño T. Users evaluation of a Spanish eHealth pediatric website. Computer Methods and Programs in Biomedicine 2021;212:106462
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. A Structural Equation Modelling of Governing Factors Influencing Patient Acceptance of Mobile Health in Saudi Arabia. International Journal of E-Services and Mobile Applications 2022;14(1):1
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Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404
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Liu J, Gong X, Weal M, Dai W, Hou S, Ma J. Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — A mixed methods study. DIGITAL HEALTH 2023;9:205520762311741
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Brunet J, Sharma S, Price J, Black M. Acceptability and Usability of a Theory-Driven Intervention via Email to Promote Physical Activity in Women Who Are Overweight or Obese: Substudy Within a Randomized Controlled Trial. JMIR Formative Research 2023;7:e48301
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Alsahli S, Hor S, Lam M. Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth 2023;11:e50419
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6171):
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. Digitales Betriebliches Gesundheitsmanagement. 2018. Chapter 8:119
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de Moraes Lopes MHB, Ferreira DD, Ferreira ACBH, da Silva GR, Caetano AS, Braz VN. Artificial Intelligence in Precision Health. 2020. :465
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Baños RM, Vara MD, Mira A, García-Palacios A, Botella C. Comprehensive Clinical Psychology. 2022. :141
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Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. 2019. Chapter 2:5
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Cheung KL, Hors-Fraile S, de Vries H. Digital Health. 2021. :159
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Willemse B, Kaptein M, Batalas N, Hasaart F. Wireless Mobile Communication and Healthcare. 2021. Chapter 10:145
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Mukami V, Millham R, Puckree T, Fong SJ. Proceeding of First Doctoral Symposium on Natural Computing Research. 2021. Chapter 18:173
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Ring-Dimitriou S, Pühringer M. Aktives Altern im digitalen Zeitalter. 2022. Chapter 8:181
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. Aktives Altern im digitalen Zeitalter. 2022. Chapter 3:55
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. Digitale Gesundheitsinterventionen. 2023. Chapter 15:259
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