Accessibility settings

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

Formative Evaluation of Non-Ehealth Innovations (389) Behavior Change (1064) Prevention and Health Promotion (2218) Obesity and Nutrition as Public Health Problem (580) Instruments and Questionnaires for Nutrition and Food Intake (247) Innovations and Technology for Healthy Eating Education (550) Chronic Conditions (549) Obesity (137)

Published on in Vol 5, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25043, first published .
Person using a blood glucose meter to check blood sugar levels

Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study

Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study

Authors of this article:

Sandra van der Haar1 Author Orcid Image ;   Femke P M Hoevenaars2 Author Orcid Image ;   Willem J van den Brink2 Author Orcid Image ;   Tim van den Broek2 Author Orcid Image ;   Mariëlle Timmer1 Author Orcid Image ;   André Boorsma2 Author Orcid Image ;   Esmée L Doets1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. de Hoogh I, Reinders M, Doets E, Hoevenaars F, Top J. Design Issues in Personalized Nutrition Advice Systems. Journal of Medical Internet Research 2023;25:e37667 View
  2. Tam R, Gifford J, Beck K. Recent Developments in the Assessment of Nutrition Knowledge in Athletes. Current Nutrition Reports 2022;11(2):241 View
  3. Lamers C, van Erp L, Slotegraaf A, Groenen M, de Roos N, Wahab P, Witteman B. Web-based dietary assessment and advice helps inflammatory bowel disease patients to improve their diet quality. British Journal of Nutrition 2023;129(2):231 View
  4. Antwi J. Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes. Current Nutrition Reports 2023;12(4):679 View
  5. Krukowski R, Denton A, König L. Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  6. Cuparencu C, Bulmuş-Tüccar T, Stanstrup J, La Barbera G, Roager H, Dragsted L. Towards nutrition with precision: unlocking biomarkers as dietary assessment tools. Nature Metabolism 2024;6(8):1438 View
  7. Peterseim C, Jabbour K, Kamath Mulki A. Metabolic Syndrome: An Updated Review on Diagnosis and Treatment for Primary Care Clinicians. Journal of Primary Care & Community Health 2024;15 View
  8. Xu Y, Zhang X, Fang J, Xu W, Chen Q, Zhu Y, Hu H, Cao X, Zhang X. Moderating effects of a healthy lifestyle on the association of pre-metabolic syndrome with multiple chronic disease comorbidities. Frontiers in Public Health 2025;13 View
  9. de Jong J, Hoevenaars F, Peters L, Berendsen C, Pasman W, Caspers M, Dulos R, Wopereis S. A Real-Life Digital Intervention for Personalized Nutrition in Adults With Overweight or Obesity: Remote Randomized Controlled Trial. Journal of Medical Internet Research 2026;28:e73367 View
  10. Bae J, Kang H. Exploratory Genome-Wide Association Study of Grapefruit Intake and Its Potential Link to Obesity Risk in US Cohorts. Nutrients 2026;18(9):1319 View
  11. Legrand S, Ng H, Jenkins E, Dordevic A, Murakami K, Shinozaki N, Dang H, Bonham M, McCaffrey T. Examining the development of automated, personalised, dietary feedback using digital technologies: a systematic review. Nutrition Research Reviews 2026;39 View

Books/Policy Documents

  1. Reinders M, Verain M, van der Haar S. Food and Consumer Behavior: A Comprehensive Reference. View