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مجله حکیم سیداسماعیل جرجانی، جلد ۱۳، شماره ۱، صفحات ۰-۰
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عنوان انگلیسی Diet management system (SAMAR): A software for evaluating and designing the diet of Iranians
چکیده انگلیسی مقاله
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.
کلیدواژه‌های انگلیسی مقاله Software, Diet, Food analysis, Nutrition assessment
نویسندگان مقاله | Nasser Behnampour
Department of Biostatistics, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran


| Seyd Hodjat Naghavi
Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran


| Hasan Khorsha
Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran


| Mohammad Reza Honarvar
Health Management and Social Development Research Center, Department of Nutritional Sciences, School of Health, Golestan University of Medical Sciences, Gorgan, Iran
نشانی اینترنتی http://goums.ac.ir/jorjanijournal/browse.php?a_code=A-10-762-1&slc_lang=en&sid=1
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