leemoo, a dietary assessment and nutritional planning software, using fuzzy logic

نویسندگان

hanieh-sadat ejtahed nutrition and endocrine research center, obesity research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran

mohammad mahdi sarsharzadeh nutrition and endocrine research center, obesity research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran

parvin mirmiran department of clinical nutrition and dietetics, faculty of nutrition sciences and food technology, national nutrition and food technology research institute, shahid beheshti university of medical sciences, tehran, ir iran; department of clinical nutrition and dietetics, faculty of nutrition sciences and food technology, national nutrition and food technology research institute, shahid beheshti university of medical sciences, tehran, p.o. box: 19395-4741, ir iran. tel: +98-2122432503, fax: +98-2122402463

golaleh asghari nutrition and endocrine research center, obesity research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran

چکیده

results all databases are flexible for updating. the program can calculate the amounts of nutrients and food group intakes and compare these with dietary reference intakes and mypyramid recommendations. this software has the ability of nutritional planning and estimates normal intake ranges of seven food groups based on person need. objectives the aim of this research was to describe the applications of this newly introduced software. methods and materials leemoo contains the following databases: food, nutrients, mypyramid equivalents and physical activity. these databases facilitate diet analysis and planning. the food composition database includes 2920 iranian food items, with the nutrient composition for up to 64 nutrients. background leemoo is a user-friendly software designed for nutritional planning and dietary assessment applications by cooperation of research institute for endocrine sciences of shahid beheshti university of medical sciences, which uses fuzzy logic for the first time. it provides a range of recommended servings for food groups, which are easier for people to follow. conclusions this software was envisaged for use by health professionals, researchers and ordinary people and can be recommended for educational purpose and nutrition research in iran. future studies must be conducted to evaluate the effects of this software on users’ dietary habits and nutrition knowledge.

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عنوان ژورنال:
international journal of endocrinology and metabolism

جلد ۱۱، شماره ۴، صفحات ۰-۰

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