This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3297)

Published on in Vol 14, No 2 (2012): Mar-Apr

The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program

The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program

The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program

Authors of this article:

Francine Schneider1 Author Orcid Image ;   Liesbeth van Osch1 ;   Daniela N Schulz1 Author Orcid Image ;   Stef PJ Kremers2 Author Orcid Image ;   Hein de Vries1
Article Authors Cited by (44) Tweetations (10) Metrics

Journals

  1. Cook F, Seymour M, Giallo R, Cann W, Nicholson J, 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) View
  2. Bossen D, Veenhof C, Van Beek K, Spreeuwenberg P, Dekker J, De Bakker D. 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 View
  3. Hamilton F, 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) View
  4. Boekhout J, Berendsen B, Peels D, Bolman C, 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 View
  5. 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 View
  6. Martinez-Montilla J, Mercken L, de Vries H, Candel M, Lima-Rodríguez J, 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 View
  7. 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 View
  8. 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 View
  9. Alkhaldi G, Hamilton F, 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 View
  10. 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 View
  11. 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 View
  12. McClure J, Shortreed S, 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 View
  13. Schneider F, Schulz D, Pouwels L, de Vries H, van Osch L. The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention. BMC Public Health 2013;13(1) View
  14. 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 View
  15. Zarski A, Lehr D, Berking M, Riper H, Cuijpers P, Ebert D. 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 View
  16. 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 View
  17. Usher-Smith J, Winther L, Shefer G, Silarova B, Payne R, Griffin S. 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 View
  18. 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 View
  19. Coumans J, Bolman C, 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 View
  20. Schulz D, Kremers S, De Vries H. Tailored eHealth Lifestyle Promotion: Which Behavioral Modules Do Users Prefer?. Journal of Health Communication 2015;20(6):663 View
  21. Westmaas J, Bontemps-Jones J, Hendricks P, Kim J, Abroms L. Randomised controlled trial of stand-alone tailored emails for smoking cessation. Tobacco Control 2018;27(2):136 View
  22. Evangelista L, Ghasemzadeh H, Lee J, Fallahzadeh R, Sarrafzadeh M, Moser D. 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 View
  23. Friederichs S, 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 View
  24. Stanczyk N, 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 View
  25. 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) View
  26. Walthouwer M, 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 View
  27. Tatara N, Årsand E, Skrøvseth S, 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 View
  28. 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 View
  29. 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 View
  30. Schulz D, Smit E, Stanczyk N, Kremers S, de Vries H, Evers S. 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 View
  31. 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 View
  32. Evangelista L, Moser D, Lee J, Moore A, Ghasemzadeh H, Sarrafzadeh M, Mangione C. Examining Older Adults’ Perceptions of Usability and Acceptability of Remote Monitoring Systems to Manage Chronic Heart Failure. Gerontology and Geriatric Medicine 2015;1 View
  33. McClure J, Peterson D, Derry H, Riggs K, Saint-Johnson J, Nair V, An L, Shortreed S. Exploring the “Active Ingredients” of an Online Smoking Intervention: A Randomized Factorial Trial. Nicotine & Tobacco Research 2014;16(8):1129 View
  34. 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 View
  35. Al-Dhahir I, Reijnders T, Faber J, van den Berg-Emons R, Janssen V, Kraaijenhagen R, Visch V, Chavannes N, Evers A. 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 View
  36. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, 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 View
  37. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  38. Coumans J, Oenema A, Bolman C, 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 View
  39. Bunge E, 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 View
  40. Collombon E, Bolman C, de Bruijn G, Peels D, Lechner L. Recruitment strategies for reaching adults aged 50 years and older with low socioeconomic status for participation in online physical activity interventions. Frontiers in Digital Health 2024;6 View
  41. Collombon E, Bolman C, de Bruijn G, Peels D, Verboon P, Lechner L. The efficacy of online physical activity interventions with added mobile elements within adults aged 50 years and over: Randomized controlled trial. Applied Psychology: Health and Well-Being 2024;16(4):1921 View

Books/Policy Documents

  1. Dehue F, Völlink T, Gunther N, Jacobs N. Reducing Cyberbullying in Schools. View
  2. Mohadis H, Ali N, Shahar S, Smeaton A. Advances in Visual Informatics. View
  3. Shelton C, Kotsiou A, Hetzel-Riggin M. Human Factors Issues and the Impact of Technology on Society. View