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Accepted for/Published in: Online Journal of Public Health Informatics

Date Submitted: Oct 29, 2024
Date Accepted: Jun 14, 2025
(closed for review but you can still tweet)

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

Accuracy of Nutrition-Related Awareness Messages on Twitter (Rebranded as X) by the Nutrition Awareness Providers in the Kingdom of Saudi Arabia: Validity Content Analysis

Alammari DA, Bindayel IA, Althukair N, AlRomi N, Aldubayan K, Al Khateeb N, Alabdrabalnabi A, Banamah B

Accuracy of Nutrition-Related Awareness Messages on Twitter (Rebranded as X) by the Nutrition Awareness Providers in the Kingdom of Saudi Arabia: Validity Content Analysis

Online J Public Health Inform 2025;17:e68128

DOI: 10.2196/68128

PMID: 41004639

PMCID: 12468160

Warning: This is an author submission that is not peer-reviewed or edited.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.

Nutritional-related awareness messages presented on Twitter (X) by nutrition awareness providers in the Kingdom of Saudi Arabia: Validity Content Analysis

  • Duaa Abdullah Alammari; 
  • Iman A Bindayel; 
  • Noura Althukair; 
  • Noura AlRomi; 
  • Khalid Aldubayan; 
  • Najla Al Khateeb; 
  • Ahmed Alabdrabalnabi; 
  • Banan Banamah

ABSTRACT

Background:

With the increasing use of social media, platforms like Twitter (X) have become popular channels for disseminating health information. In Saudi Arabia, Twitter (X) is widely used, making it an effective tool for health awareness. However, the accuracy of nutrition-related content on social media is often questioned.

Objective:

The study objective is to evaluate the accuracy and evidence-based quality of nutrition-related tweets posted by reputable Saudi health and nutrition awareness providers.

Methods:

A mixed-methods content analysis was conducted on tweets published by seven Saudi health organizations, examining content in Arabic and English over 12 months. A total of 531 nutrition-related tweets were analyzed for accuracy, popularity, and evidence inclusion by a panel of experts in clinical nutrition, food science, and technology.

Results:

Findings indicate that 83.8% of the tweets were accurate, while only 3.2% included cited evidence. Significant relationships were observed between tweet accuracy and the source organization, content type, and tweet timing. Governmental sources had higher popularity and were more frequently accurate compared to non-governmental sources.

Conclusions:

Reputable Twitter (X) accounts in Saudi Arabia generally provide accurate nutrition-related content, though evidence citation is minimal. Users are encouraged to rely on reputable accounts for health information, and further research is suggested to explore the quality of evidence in such posts.


 Citation

Please cite as:

Alammari DA, Bindayel IA, Althukair N, AlRomi N, Aldubayan K, Al Khateeb N, Alabdrabalnabi A, Banamah B

Accuracy of Nutrition-Related Awareness Messages on Twitter (Rebranded as X) by the Nutrition Awareness Providers in the Kingdom of Saudi Arabia: Validity Content Analysis

Online J Public Health Inform 2025;17:e68128

DOI: 10.2196/68128

PMID: 41004639

PMCID: 12468160

Per the author's request the PDF is not available.