The Function Analysis and Quality Assessment of Persian-Language Nutrition-Related Mobile Apps on Google Play and Iranian App Stores

Background: A growing variety of smartphone applications (apps) have been developed to provide nutritional information for promoting illness prevention and a healthy lifestyle. However, the effectiveness of these apps have not been extensively investigated. Thus, the current study aimed to assess the functionality and quality of Persian-language nutrition-related apps in Iran. Methods: Twenty-two eligible apps were included in the study according to the systematic search on Android Google Play and Iranian app stores. Then, each app underwent an overall quality assessment by six specialists in the fields of nutrition sciences and health information technology using the Mobile App Rating Scale (MARS). Results: The MARS mean scores for the investigated apps was 3.04. The functional effectiveness scope obtained the highest mean score of 3.43, followed by aesthetics scope (mean score of 2.95), engagement scope (mean score of 2.83), and content quality scope (mean score of 2.36), respectively. In addition, the subjective quality outcomes revealed that just less than 5% of apps were desirable for users to use enthusiastically more than 50 times over the next 12 months or recommend them to other individuals. However, 27.3% of apps were appraised appropriate depending on the user's intention to pay for the app. Conclusion: The present study indicated an acceptable overall MARS quality score among the Persian-language nutrition-related mobile apps in android Google Play and Iranian popular app stores.

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Publication Details

Journal
Journal of Nutrition and Food Security
Published
2025-07-26
DOI
https://doi.org/10.18502/jnfs.v10i3.19236
Citations
1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
2.82
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article

The Function Analysis and Quality Assessment of Persian-Language Nutrition-Related Mobile Apps on Google Play and Iranian App Stores

Najmeh Maayeshi, Arezoo Dehghani Mahmoodabadi, Omid Yousefianzadeh, Saeed Sherafatmanesh et al.
1 citations
Journal of Nutrition and Food Security
Mobile Health and mHealth Applications
2.82
article

The Function Analysis and Quality Assessment of Persian-Language Nutrition-Related Mobile Apps on Google Play and Iranian App Stores

Najmeh Maayeshi, Arezoo Dehghani Mahmoodabadi, Omid Yousefianzadeh, Saeed Sherafatmanesh, Sana Sadat Sajjadi, Azadeh Nadjarzadeh, Hossein Khosravi‐Boroujeni, Sara Pourrokni Salehan
article en
1 citations

Abstract

Background: A growing variety of smartphone applications (apps) have been developed to provide nutritional information for promoting illness prevention and a healthy lifestyle. However, the effectiveness of these apps have not been extensively investigated. Thus, the current study aimed to assess the functionality and quality of Persian-language nutrition-related apps in Iran. Methods: Twenty-two eligible apps were included in the study according to the systematic search on Android Google Play and Iranian app stores. Then, each app underwent an overall quality assessment by six specialists in the fields of nutrition sciences and health information technology using the Mobile App Rating Scale (MARS). Results: The MARS mean scores for the investigated apps was 3.04. The functional effectiveness scope obtained the highest mean score of 3.43, followed by aesthetics scope (mean score of 2.95), engagement scope (mean score of 2.83), and content quality scope (mean score of 2.36), respectively. In addition, the subjective quality outcomes revealed that just less than 5% of apps were desirable for users to use enthusiastically more than 50 times over the next 12 months or recommend them to other individuals. However, 27.3% of apps were appraised appropriate depending on the user's intention to pay for the app. Conclusion: The present study indicated an acceptable overall MARS quality score among the Persian-language nutrition-related mobile apps in android Google Play and Iranian popular app stores.

Journal of Nutrition and Food Security
Isfahan University of Medical Sciences (IR), Griffith University (AU), Shahid Sadoughi University of Medical Sciences and Health Services (IR)
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
2.82
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