کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1218091 1494499 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Food composition data in Argentina: A systematic review of the literature
ترجمه فارسی عنوان
داده های ترکیب غذا در آرژانتین: بررسی سیستماتیک از ادبیات
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• We systematically searched food composition data not included in the Argentine table.
• We searched published and unpublished data.
• We found 138 articles/dissertations matching the inclusion criteria.
• These results can add some information to the available data in the national table.
• Data are available on the Internet with free access.

Food composition data are essential for the assessment of nutrient intake and the development of food policies. The aim of this study was to conduct a systematic review of available published data not previously included in the national food composition table in Argentina (ARGENFOODS), in order to supplement the existing information. An electronic literature search was conducted of literature published from January 1997 to December 2012. An annotated search for non-indexed ‘gray literature’ was also completed. Quality of data was assessed in terms of sampling and analytical criteria. A total of 2474 potentially eligible references were identified, out of which 138 articles and reports met inclusion criteria. These studies provided information about energy value, macronutrients, micronutrients, and/or other components, such as phytochemicals, for 82 individual food items and multi-ingredient foods. Cereals, legumes and their derivatives, milk and dairy products, meat, fish and fish derivatives were the most frequently reported food groups. Non-representative sampling and poor description of the analytical quality control used were the most frequent issues found in evaluation of data quality. These results will contribute to the continuous and systematic updating of food composition databases, which are of paramount importance for public health. Collaboration among data generators, compilers, and users is essential.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Food Composition and Analysis - Volume 43, November 2015, Pages 39–48
نویسندگان
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