Volume 9 - Special Issue for Nutrition                   J Health Syst Res 2013, 9 - Special Issue for Nutrition : 1679-1695 | Back to browse issues page

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Moorsa Zaroudi, Parvin Mirmiran, Akbar Fazel-tabarMalekshah, Mohammadreza Mirzaei, Ghasem Oveis, Nader Ahangar, et al . The association between major dietary pattern and diabetes type 2. J Health Syst Res 2013; 9 (S1) :1679-1695
URL: http://hsr.mui.ac.ir/article-1-560-en.html
1- MSc student in Nutrition Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Associate Professor, Human Nutrition Department, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- MSc in Nutrition Science, Mazandaran University of Medical Sciences, Sari, Iran
4- MD, Province Health Center, Mazandaran University of Medical Sciences, Sari, Iran
5- M.Sc in parasitology, Province Health Center, Mazandaran University of Medical Sciences, Sari, Iran
6- B.S in Laboratory Sciences, Province Health Center, Mazandaran University of Medical Sciences, Sari, Iran
7- Associate Professor, internal medicine Department, Mazandaran University of Medical Sciences, Sari, Iran
8- Associate Professor , Department of Biostatistics, member of Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran (Corresponding Author) E-mail: jamshid_1380@yahoo.com
Abstract:   (1526 Views)
Background: Diabetes is a major risk factor of chronic diseases such as cardiovascular disease with high mortality. Prevalence of diabetes type 2 is increasing in Middle Eastand Iran. In the current study, relationship between major food patterns and diabetes type 2 were assessed. Methods: In this case control study, 332 subjects (110 newly diagnosed cases and 222 controls); 43-77 years of age were selected with simple sampling method. A valid semi- quantitative food frequency questionnaire was used to collect dietary intakes of subjects. Anthropometric characteristics and blood pressure were measured with standard instructions and body mass index (BMI) and waist to hip ratio (W/H) were calculated. Blood sample was gathered in order to metabolic variables assessment. Factor analysis was used to identify major food patterns. Relationship between major food patterns and diabetes type 2 was assessed by logistic regression analysis. Findings: Three major food patterns were identified in our study subjects: the healthy food pattern (rich in vegetables, vegetable oils, fish, fruits and nuts), the mixed food pattern (high consumption of salt, organ meats, dried fruits, poultry, tea, low- fat dairy products and other vegetables) and the traditional food pattern (high consumption of garlic, dough, high- fat dairy products, dried fruits, red meats, grains and animal fat). After controlling for confounding variables, subjects in the highest quartile of mixed and traditional food patterns had 117% (odds ratio: 2.17 and 95% CI: 1.0-4.50) and 113% (odds ratio: 2.13 and 95% CI: 1.03-4.41) higher odds of diabetes type 2, respectively, compared to those in the lowest quartile. Even before and after controlling for confounders, no overall significant relationship was observed between healthy food pattern and diabetes type 2. Conclusion: this study suggests that mixed and traditional food patterns are associated with an increased odd for type 2 diabetes.
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Type of Study: Research | Subject: education health and promotion
Received: 2020/07/16 | Accepted: 2021/08/10 | Published: 2021/08/10

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