Showing 5 results for Mehrabi
Ahmad Esmaill Zadeh, Seyed Masood Kimiagar, Yadollah Mehrabi, Leila Azadbakht,
Volume 5, Issue 1 (18 2005)
Abstract
Concept of dietary patterns is new in the filed of nutritional epidemiology. However, it has not been focused to the extent that foods or nutrients have been considered. Although, identifying the association between nutrients and foods intake with chronic diseases is valuable yet, recent evidences have shown that the clinical trials that have used nutrients are not too successful to indicate the effects of that nutrient on the disease risk. On the other hand, the studies used dietary patterns have shown the significant effects on disease risk. Therefore, using dietary patterns analysis is an efficient method to identify diet-disease relations. However, it should be kept in the mind that dietary patterns are different across gender, ethnics, cultures and regions. It is, therefore, recommended that investigators in different countries need to assess their own community dietary patterns and emphasize on these patterns when trying to reduce chronic disease risk. The current study has been conducted to review the studies that have assessed the association of dietary patterns and chronic disease risk.
Leila Azadbakht, Masoud Kimiagar, Yadolah Mehrabi, Ahmad Esmaeil Zadeh,
Volume 6, Issue 4 (17 2007)
Abstract
Background: Recently on the metabolic syndrome is considered as an inflammatory disease. So factors affecting inflammation are important in this condition.
Methods: This randomized cross-over clinical trial was undertaken on 42 postmenopausal women with metabolic syndrome. Participants were randomly assigned to consume a control diet (Dietary Approaches to Stop Hypertension= DASH), soy protein diet, or soy nut diet, each for eight weeks. Inflammatory markers were measured by ELISA.
Results: The difference from the control diet for E-selectin (an inflammatory markers which shows the endothelial function) was -11.4% (P<0.01) on the soy nut consumption and -4.7% (p=0.19) on the soy protein diets. Soy nut consumption reduced interleukin-18 compared to the control diet (difference from the control diet: -9.2%, p<0.01). For C-reactive protein the difference from the control diet was -8.9% (P<0.01) on the soy nut diet and -1.6% (P<0.01) on the soy protein diet.
Conclusion: Short-term soy nut consumption reduced some markers of inflammation and increased plasma nitric oxide levels in postmenopausal women with the metabolic syndrome.
Leila Azadbakht, Masoud Kimiagar, Yadolah Mehrabi, Ahmad Esmaeil Zadeh,
Volume 7, Issue 1 (18 2007)
Abstract
Background: Little evidence exists regarding the effects of soy consumption on the metabolic syndrome in humans. We aimed to determine the effects of soy consumption on components of the metabolic syndrome, plasma lipids, lipoproteins, insulin resistance and glycemic control in postmenopausal women with the metabolic syndrome.
Methods: This randomized cross-over clinical trial was undertaken on 42 postmenopausal women with the metabolic syndrome. Participants were randomly assigned to consume a control diet (Dietary Approaches to Stop Hypertension= DASH), soy protein diet, or soy nut diet, each for eight weeks. Red meat in the DASH diet was replaced by soy protein in the soy protein period and by soy nut in the soy nut period.
Results: Total cholesterol was significantly reduced compared to the control (P<0.01) and soy protein groups (P<0.01). The results were the same regarding the fasting insulin serum (P<0.01 compared with the control and soy protein group), HOMA-IR (P<0.01 compared with the control and soy protein group), Fasting blood sugar (P<0.01 compared with the control and soy protein group), and LDL cholesterol (P<0.01 compared with the control and P<0.05 compared with the soy protein group). Both soy nut and soy protein reduced Apo B100 compared to the control group (P<0.01).
Conclusion: Short-term soy nut consumption improved glycemic control and lipid profiles in postmenopausal women with the metabolic syndrome
Maryam Tohidi, Hadi Harati, Farzad Hadaegh, Yadollah Mehrabi, Fereidoun Azizi,
Volume 7, Issue 2 (17 2007)
Abstract
Background: Non- alcoholic fatty liver disease (NAFLD) is a pathogenic factor of insulin resistance and type 2 diabetes. On the other hand, the circulating liver enzymes including Aspartate aminotransferase (AST), Alanin aminotranferase (ALT) and Gamma glutamyl transferase (GGT) are commonly elevated in asymptomatic patients with NAFLD.
Methods: As a nested case-control study, AST, ALT, GGT as well as classic diabetes risk factors, homeostatic model assessment of insulin resistance(HOMA- IR) and C-reactive protein (CRP) were measured in 133 non-diabetic subjects at baseline (68 cases and 65 controls). Conditional logistic regression was used to calculate the odds ratio (OR) of diabetes associated with different hepatic markers. We used factor analysis for clustering of classic diabetes risk factors.
Results: In Univariate analysis, both ALT and GGT were associated with diabetes with ORs of 3.07(1.21-7.79) and 2.91(1.29-6.53), respectively. After adjustment for CRP and insulin, ALT and GGT were still predictive of incident diabetes. When the model was further adjusted for anthropometric, blood pressure and metabolic factors resulted from factor analysis (full model), only ALT was independently associated with diabetes [OR=3.06 (1.01-9.26)]. No difference was found between the area under the receiver operating characteristic curves of the models with and without ALT (0.820 and 0.802 respectively, P=0.4)
Conclusion: ALT is associated with incident type 2 diabetes independent of classic risk factors. However, its addition to the classic risk factors does not improve the prediction of diabetes.
Nooshin Poorsoltan, Yadollah Mehrabi, Zhaleh Shadman, Mahdieh Akhoundan, Arash Rashidi, Mohsen Khoshniat Nikoo,
Volume 14, Issue 1 (1-2015)
Abstract
Background: Physiological stress may affect eating habits and also foods intake may alter the physiological stress. According to the reports of high levels of serum cortisol as a stress biomarker in type 2 diabetic patients the aim of this study was to investigate the relationship between dietary patterns and serum cortisol concentration in type 2 diabetic patents.
Methods: This cross-sectional study was conducted on 241 type 2 diabetic patients in 2013. Major dietary patterns were obtained by factor analysis. Serum cortisol was measured at 8 am. Serum cortisol level was compared among tertiles of dietary patterns using ANCOVA adjusted for confounders (age, sex, BMI, and fasting blood glucose). Linear regression analysis was performed to assess the association between serum cortisol and scores of dietary patterns.
Results: Three major dietary patterns were identified as Western, healthy and healthy like. None of the variables age, waist circumference, body mass index, physical activity level, duration of diabetes and fasting blood glucose was significantly associated with serum cortisol. After adjustment for confounders, no statistically significant difference was found in mean serum cortisol among tertiles of dietary patterns or no statistically significant association between serum cortisol and dietary patterns scores. Mean serum cortisol was 12.95±5.10 nmol/L which was in normal range.
Conclusion: This study showed that in type 2 diabetic patients, normal levels of serum cortisol were not associated with the adherence to Western, Healthy and Healthy like dietary patterns.
