دوره 13، شماره 3 - ( 7-1404 )                   جلد 13 شماره 3 صفحات 9-4 | برگشت به فهرست نسخه ها


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Behnampour N, Naghavi S H, Khorsha H, Honarvar M R. Diet management system (SAMAR): A software for evaluating and designing the diet of Iranians. Jorjani Biomed J 2025; 13 (3) :4-9
URL: http://goums.ac.ir/jorjanijournal/article-1-1064-fa.html
Diet management system (SAMAR): A software for evaluating and designing the diet of Iranians. فصلنامه علمی پژوهشی زیست پزشکی جرجانی. 1404; 13 (3) :4-9

URL: http://goums.ac.ir/jorjanijournal/article-1-1064-fa.html


چکیده:   (8778 مشاهده)
Background: Dietary intake assessment is a critical component of the nutrition care process, essential for identifying nutritional deficiencies and formulating effective interventions. Accurate analysis requires access to a reliable food composition database that reflects cultural and regional dietary habits. In Iran, existing software solutions fall short in adequately representing traditional foods, highlighting the need for a localized database. The SAMAR software addresses this gap by enabling users to monitor nutrient intake and tailor dietary plans to better meet the nutritional needs of the Iranian population.
Methods: We conducted a comparative analysis of food intake data from 30 patients using the SAMAR system and the Nutritionist 4 (NUT4) system. After inputting the data into both software platforms, we compared the results. The normality of the data was assessed using the Shapiro-Wilk test, and Pearson or Spearman correlation coefficients were computed. To evaluate the relationship between the values derived from each system, we reported the linear regression model alongside the Bland-Altman diagram.
Results: The comparative analysis between the SAMAR software and NUT4 demonstrated a strong agreement in nutrient analysis results, indicating that SAMAR is suitable for nutritional assessments within Iranian contexts. SAMAR exhibited a direct correlation with NUT4 regarding energy and nutrient content. The linear regression models revealed significant relationships for the majority of the nutrients analyzed. The user-friendly interface of SAMAR, along with its compatibility with Iranian dietary patterns, renders it a valuable resource for nutritionists and researchers. Additionally, the software's capacity to incorporate local foods enhances its functionality, making it more effective than other software applications. 
Conclusion: SAMAR uses the Iranian Food Database. The observed positive correlation between SAMAR and NUT4 in nutrient analysis underscores the reliability and user-friendliness of SAMAR for dietary intake assessment in Iran.
متن کامل [PDF 644 kb]   (1905 دریافت)    
سرمقاله: تحقیقی | موضوع مقاله: آمار زیستی
دریافت: 1403/12/15 | پذیرش: 1404/5/6 | انتشار: 1404/6/26

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