Short- and Medium-Term Efficacy of a Web-Based Computer-Tailored Nutrition Education Intervention for Adults Including Cognitive and Environmental Feedback: Randomized Controlled Trial

Journals

1. Huang S, Kuo S, Tsai P, Tsai C, Chen S, Lin C, Lin P, Hou W. Effectiveness of Tailored Rehabilitation Education in Improving the Health Literacy and Health Status of Postoperative Patients With Breast Cancer. Cancer Nursing 2020;43(1):E38 View
2. Maertens J, Jimenez-Zambrano A, Albright K, Dempsey A. Using Community Engagement to Develop a Web-Based Intervention for Latinos about the HPV Vaccine. Journal of Health Communication 2017;22(4):285 View
3. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544 View
4. Teasdale N, Elhussein A, Butcher F, Piernas C, Cowburn G, Hartmann-Boyce J, Saksena R, Scarborough P. Systematic review and meta-analysis of remotely delivered interventions using self-monitoring or tailored feedback to change dietary behavior. The American Journal of Clinical Nutrition 2018;107(2):247 View
5. Murimi M, Nguyen B, Moyeda-Carabaza A, Lee H, Park O. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutrition Reviews 2019;77(10):663 View
6. O'Donovan C, Walsh M, Gibney M, Gibney E, Brennan L. Can metabotyping help deliver the promise of personalised nutrition?. Proceedings of the Nutrition Society 2016;75(1):106 View
7. Springvloet L, Lechner L, Candel M, de Vries H, Oenema A. Exploring individual cognitions, self-regulation skills, and environmental-level factors as mediating variables of two versions of a Web-based computer-tailored nutrition education intervention aimed at adults: A randomized controlled trial. Appetite 2016;98:101 View
8. Tay I, Garland S, Gorelik A, Wark J. Development and Testing of a Mobile Phone App for Self-Monitoring of Calcium Intake in Young Women. JMIR mHealth and uHealth 2017;5(3):e27 View
9. Franco R, Fallaize R, Hwang F, Lovegrove J. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407 View
10. Veinot T, Mitchell H, Ancker J. Good intentions are not enough: how informatics interventions can worsen inequality. Journal of the American Medical Informatics Association 2018;25(8):1080 View
11. Shoneye C, Mullan B, Begley A, Pollard C, Jancey J, Kerr D. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919 View
12. Tam R, Beck K, Gifford J, Flood V, O’Connor H. Development of an Electronic Questionnaire to Assess Sports Nutrition Knowledge in Athletes. Journal of the American College of Nutrition 2020;39(7):636 View
13. Young C, Campolonghi S, Ponsonby S, Dawson S, O'Neil A, Kay-Lambkin F, McNaughton S, Berk M, Jacka F. Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions. Journal of Nutrition Education and Behavior 2019;51(6):719 View
14. Romeike K, Lechner L, de Vries H, Oenema A. Development of a computer-tailored nutrition and physical activity intervention for lower-educated women of Dutch, Turkish and Moroccan origin using content matching and ethnic identity tailoring. BMC Public Health 2016;16(1) View
15. . Early Effects of the Trauma Collaborative Care Intervention: Results From a Prospective Multicenter Cluster Clinical Trial. Journal of Orthopaedic Trauma 2019;33(11):538 View
16. Gopalan A, Shaw P, Lim R, Paramanund J, Patel D, Zhu J, Volpp K, Buttenheim A. Use of financial incentives and text message feedback to increase healthy food purchases in a grocery store cash back program: a randomized controlled trial. BMC Public Health 2019;19(1) View
17. Forster H, Walsh M, O'Donovan C, Woolhead C, McGirr C, Daly E, O'Riordan R, Celis-Morales C, Fallaize R, Macready A, Marsaux C, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou C, Godlewska M, Surwiłło A, Gjelstad I, Drevon C, Manios Y, Traczyk I, Martinez J, Saris W, Daniel H, Lovegrove J, Mathers J, Gibney M, Gibney E, Brennan L. A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study. Journal of Medical Internet Research 2016;18(6):e150 View
18. Olson C. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647 View
19. Forster H, Walsh M, Gibney M, Brennan L, Gibney E. Personalised nutrition: the role of new dietary assessment methods. Proceedings of the Nutrition Society 2016;75(1):96 View
20. Storm V, Dörenkämper J, Reinwand D, Wienert J, De Vries H, Lippke S. Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(4):e78 View
21. Arnaud N, Baldus C, Elgán T, De Paepe N, Tønnesen H, Csémy L, Thomasius R. Effectiveness of a Web-Based Screening and Fully Automated Brief Motivational Intervention for Adolescent Substance Use: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(5):e103 View
22. 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
23. 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
24. Patnode C, Redmond N, Iacocca M, 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 View
25. Nikniaz L, Tabrizi J, Farhangi M, Pourmoradian S, Allameh M, Hoseinifard H, Tahmasebi S, Nikniaz Z. Community-based Interventions to Reduce Fat Intake in Healthy Populations: A Systematic Review and Meta-Analysis. Current Nutrition & Food Science 2022;18(7):649 View
26. Ronteltap A, Bukman A, Nagelhout G, Hermans R, Hosper K, Haveman-Nies A, Lupker R, Bolman C. Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques. BMC Nutrition 2022;8(1) View
27. van Meurs T, Oude Groeniger J, de Koster W, van der Waal J. An incongruous intervention: Exploring the role of anti‐institutionalism in less‐educated individual’s limited uptake of nutrition information. Sociology of Health & Illness 2022;44(2):432 View
28. Shoneye C, Kwasnicka D, Mullan B, Pollard C, Boushey C, Kerr D. Dietary assessment methods used in adult digital weight loss interventions: A systematic literature review. Journal of Human Nutrition and Dietetics 2023;36(3):997 View
29. van Meurs T, Oude Groeniger J, de Koster W, van der Waal J. Suggested explanations for the (in)effectiveness of nutrition information interventions among adults with a low socioeconomic status: a scoping review. Journal of Nutritional Science 2022;11 View
30. Jabbari M, Namazi N, Irandoost P, Rezazadeh L, Ramezani-Jolfaie N, Babashahi M, Pourmoradian S, Barati M. Meta-analysis of community-based interventions on fruits and vegetables consumption in adults. Nutrition & Food Science 2024;54(1):164 View
31. Mkhitaryan S, Giabbanelli P, Wozniak M, de Vries N, Oenema A, Crutzen R. How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake. BMC Public Health 2023;23(1) View

Books/Policy Documents

1. Wozniak M, Mkhitaryan S, Giabbanelli P. Computational Science – ICCS 2022. View