Published on 01.03.12 in Vol 14, No 2 (2012): Mar-Apr
Works citing "The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1939):
(note that this is only a small subset of citations)
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Cook F, Seymour M, Giallo R, Cann W, Nicholson JM, Green J, Hiscock H. Comparison of methods for recruiting and engaging parents in online interventions: study protocol for the Cry Baby infant sleep and settling program. BMC Pediatrics 2015;15(1)
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Bossen D, Veenhof C, Van Beek KE, Spreeuwenberg PM, Dekker J, De Bakker DH. Effectiveness of a Web-Based Physical Activity Intervention in Patients With Knee and/or Hip Osteoarthritis: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e257
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Hamilton FL, Hornby J, Sheringham J, Linke S, Ashton C, Moore K, Stevenson F, Murray E. DIAMOND (DIgital Alcohol Management ON Demand): a mixed methods feasibility RCT and embedded process evaluation of a digital health intervention to reduce hazardous and harmful alcohol use. Pilot and Feasibility Studies 2017;3(1)
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Boekhout JM, Berendsen BAJ, Peels DA, Bolman CAW, Lechner L. Evaluation of a Computer-Tailored Healthy Ageing Intervention to Promote Physical Activity among Single Older Adults with a Chronic Disease. International Journal of Environmental Research and Public Health 2018;15(2):346
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Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267
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Martinez-Montilla JM, Mercken L, de Vries H, Candel M, Lima-Rodríguez JS, Lima-Serrano M. A Web-Based, Computer-Tailored Intervention to Reduce Alcohol Consumption and Binge Drinking Among Spanish Adolescents: Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(1):e15438
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Garnett C, Crane D, West R, Brown J, Michie S. Identification of Behavior Change Techniques and Engagement Strategies to Design a Smartphone App to Reduce Alcohol Consumption Using a Formal Consensus Method. JMIR mHealth and uHealth 2015;3(2):e73
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Cremers H, Mercken L, Candel M, de Vries H, Oenema A. A Web-Based, Computer-Tailored Smoking Prevention Program to Prevent Children From Starting to Smoke After Transferring to Secondary School: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e59
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Alkhaldi G, Hamilton FL, Lau R, Webster R, Michie S, Murray E. The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review. Journal of Medical Internet Research 2016;18(1):e6
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Brendryen H, Johansen A, Nesvåg S, Kok G, Duckert F. Constructing a Theory- and Evidence-Based Treatment Rationale for Complex eHealth Interventions: Development of an Online Alcohol Intervention Using an Intervention Mapping Approach. JMIR Research Protocols 2013;2(1):e6
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Schneider F, de Vries H, Candel M, van de Kar A, van Osch L. Periodic Email Prompts to Re-Use an Internet-Delivered Computer-Tailored Lifestyle Program: Influence of Prompt Content and Timing. Journal of Medical Internet Research 2013;15(1):e23
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McClure JB, Shortreed SM, Bogart A, Derry H, Riggs K, St John J, Nair V, An L. The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial. Journal of Medical Internet Research 2013;15(3):e69
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Schneider F, Schulz DN, Pouwels LH, de Vries H, van Osch LA. The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention. BMC Public Health 2013;13(1)
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Voncken-Brewster V, Amoureus M, de Vries H, Nagykaldi Z, Winkens B, van der Weijden T, Tange H. The Impact of Participant Characteristics on Use and Satisfaction of a Web-Based Computer-Tailored Chronic Obstructive Pulmonary Disease Self-Management Intervention: A Process Evaluation. JMIR Formative Research 2017;1(1):e1
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Zarski A, Lehr D, Berking M, Riper H, Cuijpers P, Ebert DD. Adherence to Internet-Based Mobile-Supported Stress Management: A Pooled Analysis of Individual Participant Data From Three Randomized Controlled Trials. Journal of Medical Internet Research 2016;18(6):e146
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Bregenzer A, Wagner-Hartl V, Jiménez P. Who uses apps in health promotion? A target group analysis of leaders. Health Informatics Journal 2019;25(3):1038
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Usher-Smith JA, Winther LR, Shefer GS, Silarova B, Payne RA, Griffin SJ. Factors Associated With Engagement With a Web-Based Lifestyle Intervention Following Provision of Coronary Heart Disease Risk: Mixed Methods Study. Journal of Medical Internet Research 2017;19(10):e351
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Levinger P, Hallam K, Fraser D, Pile R, Ardern C, Moreira B, Talbot S. A novel web-support intervention to promote recovery following Anterior Cruciate Ligament reconstruction: A pilot randomised controlled trial. Physical Therapy in Sport 2017;27:29
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Coumans JMJ, Bolman CAW, Oenema A, Lechner L. Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15024
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Schulz DN, Kremers SPJ, De Vries H. Tailored eHealth Lifestyle Promotion: Which Behavioral Modules Do Users Prefer?. Journal of Health Communication 2015;20(6):663
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Westmaas JL, Bontemps-Jones J, Hendricks PS, Kim J, Abroms LC. Randomised controlled trial of stand-alone tailored emails for smoking cessation. Tobacco Control 2018;27(2):136
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Evangelista LS, Ghasemzadeh H, Lee J, Fallahzadeh R, Sarrafzadeh M, Moser DK. Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure. Technology and Health Care 2017;25(3):425
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Friederichs SA, Oenema A, Bolman C, Lechner L. Motivational interviewing and self-determination theory in a web-based computer tailored physical activity intervention: A randomized controlled trial. Psychology & Health 2016;31(8):907
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Stanczyk NE, Crutzen R, Bolman C, Muris J, de Vries H. Influence of Delivery Strategy on Message-Processing Mechanisms and Future Adherence to a Dutch Computer-Tailored Smoking Cessation Intervention. Journal of Medical Internet Research 2013;15(2):e28
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Voncken-Brewster V, Tange H, Moser A, Nagykaldi Z, de Vries H, van der Weijden T. Integrating a tailored e-health self-management application for chronic obstructive pulmonary disease patients into primary care: a pilot study. BMC Family Practice 2014;15(1)
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Walthouwer MJL, Oenema A, Lechner L, de Vries H. Use and Effectiveness of a Video- and Text-Driven Web-Based Computer-Tailored Intervention: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(9):e222
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Tatara N, Årsand E, Skrøvseth SO, Hartvigsen G. Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes. JMIR mHealth and uHealth 2013;1(1):e1
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Ernsting A, Gellert P, Schneider M, Lippke S. A mediator model to predict workplace influenza vaccination behaviour – an application of the health action process approach. Psychology & Health 2013;28(5):579
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Cremers H, Mercken L, Crutzen R, Willems P, de Vries H, Oenema A. Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?. Journal of Medical Internet Research 2014;16(3):e86
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Schulz DN, Smit ES, Stanczyk NE, Kremers SP, de Vries H, Evers SM. Economic Evaluation of a Web-Based Tailored Lifestyle Intervention for Adults: Findings Regarding Cost-Effectiveness and Cost-Utility From a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e91
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Bossen D, Buskermolen M, Veenhof C, de Bakker D, Dekker J. Adherence to a Web-Based Physical Activity Intervention for Patients With Knee and/or Hip Osteoarthritis: A Mixed Method Study. Journal of Medical Internet Research 2013;15(10):e223
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Evangelista LS, Moser DK, Lee J, Moore AA, Ghasemzadeh H, Sarrafzadeh M, Mangione CM. Examining Older Adults’ Perceptions of Usability and Acceptability of Remote Monitoring Systems to Manage Chronic Heart Failure. Gerontology and Geriatric Medicine 2015;1:233372141561805
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McClure JB, Peterson D, Derry H, Riggs K, Saint-Johnson J, Nair V, An L, Shortreed SM. Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial. Nicotine & Tobacco Research 2014;16(8):1129
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Jander A, Crutzen R, Mercken L, Candel M, de Vries H. Effects of a Web-Based Computer-Tailored Game to Reduce Binge Drinking Among Dutch Adolescents: A Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(2):e29
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Al-Dhahir I, Reijnders T, Faber JS, van den Berg-Emons RJ, Janssen VR, Kraaijenhagen RA, Visch VT, Chavannes NH, Evers AWM. The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review. Journal of Medical Internet Research 2022;24(8):e34229
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Hors-Fraile S, Candel MJJM, Schneider F, Malwade S, Nunez-Benjumea FJ, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219
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Agachi E, Bijmolt THA, van Ittersum K, Mierau JO. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033
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Coumans JMJ, Oenema A, Bolman CAW, Lechner L. Use and Appreciation of a Web-Based, Computer-Tailored Diet and Physical Activity Intervention Based on the Self-determination Theory: Evaluation Study of Process and Predictors. JMIR Formative Research 2021;5(12):e22390
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Bunge EL, Walker H, Hunt G, Leykin Y, Kim E. The Impact of a Behavioral Activation Online Micro Intervention on Mood and Activity Level. Journal of Technology in Behavioral Science 2023;8(2):196
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1939):
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Dehue F, Völlink T, Gunther N, Jacobs N. Reducing Cyberbullying in Schools. 2018. :175
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Mohadis HM, Ali NM, Shahar S, Smeaton AF. Advances in Visual Informatics. 2015. Chapter 36:405
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Shelton CR, Kotsiou A, Hetzel-Riggin MD. Human Factors Issues and the Impact of Technology on Society. 2021. chapter 8:180
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