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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 19, 2025
Open Peer Review Period: May 19, 2025 - Jul 14, 2025
Date Accepted: Dec 1, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

Dong X, Yun B, Pakarinen A, Zheng Z, Niu H, Jin T, Yuan C, Wang J

Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

J Med Internet Res 2026;28:e77726

DOI: 10.2196/77726

PMID: 41540880

PMCID: 12809011

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Diet-related Health Recommender Systems (HRS) for patients with chronic health conditions: A scoping review

  • Xiaolan Dong; 
  • Bei Yun; 
  • Anni Pakarinen; 
  • Zhuting Zheng; 
  • Hao Niu; 
  • Tian Jin; 
  • Changrong Yuan; 
  • Jingting Wang

ABSTRACT

Background:

Diet-related Health Recommender Systems (HRS) have gained attention for their potential to provide personalized dietary guidance, particularly for patients with chronic conditions. However, studies on diet-related HRS in healthcare are relatively limited.

Objective:

This study aims to conduct a scoping review of the current research on diet-related HRS for patients with chronic health conditions, identify existing gaps, and suggest future research directions to enhance their effectiveness in healthcare settings.

Methods:

The scoping review was conducted in line with the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for scoping reviews. A search and screening of English and Chinese literature published in 10 databases from January 2010 to October 2024 was carried out. The literature included was subsequently summarized and analyzed.

Results:

Of 4370 studies retrieved, 15 studies were included. Thematic analysis was applied to generate the following themes: basic study information, target users, function structure, recommendation content, implementation of recommendation features, and evaluation of the diet-related HRS.

Conclusions:

Diet-related HRS offer personalized dietary recommendations for patients with chronic health conditions. However, current research in this area is still in its infancy, with a limited number of studies and significant room for improvement. Therefore, future research should focus on expanding their applicability across a wider range of diseases and target users, enhancing the intelligence, accuracy, and user satisfaction of diet-related HRS, standardizing evaluation methods, and improving behavioral changes driven by dietary recommendations. These advancements will collectively enhance the overall effectiveness of diet-related HRS.


 Citation

Please cite as:

Dong X, Yun B, Pakarinen A, Zheng Z, Niu H, Jin T, Yuan C, Wang J

Diet-Related Health Recommender Systems for Patients With Chronic Health Conditions: Scoping Review

J Med Internet Res 2026;28:e77726

DOI: 10.2196/77726

PMID: 41540880

PMCID: 12809011

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