Published on 19.01.15 in Vol 17, No 1 (2015): January
Works citing "Short- and Medium-Term Efficacy of a Web-Based Computer-Tailored Nutrition Education Intervention for Adults Including Cognitive and Environmental Feedback: Randomized Controlled Trial"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3837):
(note that this is only a small subset of citations)
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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
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Maertens JA, Jimenez-Zambrano AM, Albright K, Dempsey AF. Using Community Engagement to Develop a Web-Based Intervention for Latinos about the HPV Vaccine. Journal of Health Communication 2017;22(4):285
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. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
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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
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Murimi MW, Nguyen B, Moyeda-Carabaza AF, Lee H, Park O. Factors that contribute to effective online nutrition education interventions: a systematic review. Nutrition Reviews 2019;77(10):663
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O'Donovan CB, Walsh MC, Gibney MJ, Gibney ER, Brennan L. Can metabotyping help deliver the promise of personalised nutrition?. Proceedings of the Nutrition Society 2016;75(1):106
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Springvloet L, Lechner L, Candel MJ, 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
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Tay I, Garland S, Gorelik A, Wark JD. 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
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Franco RZ, Fallaize R, Hwang F, Lovegrove JA. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407
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Veinot TC, Mitchell H, Ancker JS. Good intentions are not enough: how informatics interventions can worsen inequality. Journal of the American Medical Informatics Association 2018;25(8):1080
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Shoneye CL, Mullan B, Begley A, Pollard CM, Jancey J, Kerr DA. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919
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Tam R, Beck KL, Gifford JA, Flood VM, O’Connor HT. Development of an Electronic Questionnaire to Assess Sports Nutrition Knowledge in Athletes. Journal of the American College of Nutrition 2020;39(7):636
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Young C, Campolonghi S, Ponsonby S, Dawson SL, O'Neil A, Kay-Lambkin F, McNaughton SA, Berk M, Jacka FN. Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions. Journal of Nutrition Education and Behavior 2019;51(6):719
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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)
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. Early Effects of the Trauma Collaborative Care Intervention: Results From a Prospective Multicenter Cluster Clinical Trial. Journal of Orthopaedic Trauma 2019;33(11):538
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Gopalan A, Shaw PA, Lim R, Paramanund J, Patel D, Zhu J, Volpp KG, Buttenheim AM. 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)
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Forster H, Walsh MC, O'Donovan CB, Woolhead C, McGirr C, Daly E, O'Riordan R, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Hartwig K, Mavrogianni C, Tsirigoti L, Lambrinou CP, Godlewska M, Surwiłło A, Gjelstad IMF, Drevon CA, Manios Y, Traczyk I, Martinez JA, Saris WHM, Daniel H, Lovegrove JA, Mathers JC, Gibney MJ, Gibney ER, 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
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. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647
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Forster H, Walsh MC, Gibney MJ, Brennan L, Gibney ER. Personalised nutrition: the role of new dietary assessment methods. Proceedings of the Nutrition Society 2016;75(1):96
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Storm V, Dörenkämper J, Reinwand DA, 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
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Arnaud N, Baldus C, Elgán TH, 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
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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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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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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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Nikniaz L, Tabrizi JS, Farhangi MA, 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
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Ronteltap A, Bukman AJ, Nagelhout GE, Hermans RCJ, Hosper K, Haveman-Nies A, Lupker R, Bolman CAW. 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)
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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
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Shoneye CL, Kwasnicka D, Mullan B, Pollard CM, Boushey CJ, Kerr DA. Dietary assessment methods used in adult digital weight loss interventions: A systematic literature review. Journal of Human Nutrition and Dietetics 2023;36(3):997
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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
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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
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Mkhitaryan S, Giabbanelli PJ, Wozniak MK, de Vries NK, 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)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3837):
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Wozniak MK, Mkhitaryan S, Giabbanelli PJ. Computational Science – ICCS 2022. 2022. Chapter 27:312
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