Masoud Kimiagar

Isfahan University of Medical Sciences, Eşfahān, Ostan-e Esfahan, Iran

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Publications (9)39.98 Total impact

  • Article: Peanut consumption and cardiovascular risk.
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    ABSTRACT: We evaluated the effects of peanut consumption on lipid profiles, atherogenic index of plasma (AIP) and CHD risk in hypercholesterolaemic men. Randomised crossover clinical trial. Participants were randomly assigned to two groups. They were asked to consume peanut supplements (about 77 g) with their habitual diet for 4 weeks. Fifty-four hypercholesterolaemic men with total cholesterol (TC) concentrations between 200 and 350 mg/dl. Compared with the habitual diet, peanut supplementation of the habitual diet significantly reduced TC/HDL cholesterol (HDL-C) ratio (mean 1 (se 0.3) P = 0.001) and LDL cholesterol (LDL-C)/HDL-C ratio (mean 0.7 (se 0.2); P = 0.001). Peanut consumption increased HDL-C (mean 6.1 (se 1.5) mg/dl; P < 0.001) and total antioxidant capacity (TAC) (mean 1.2 (se 0.6) U/mL P = 0.04). In addition, peanut consumption significantly reduced the AIP (mean 0.1 (se 0.03) P = 0.01) and CHD estimated risk over 10 years based on systolic and diastolic blood pressures (mean 1.4 % (se 0.5 %) P = 0.004 and mean 2.2 % (se 0.5 %) P < 0.001, respectively). Short-term peanut consumption might improve lipid profiles, the AIP and CHD risk in free-living hypercholesterolaemic men.
    Public Health Nutrition 12/2009; 13(10):1581-6. · 2.17 Impact Factor
  • Article: Patterns of food and nutrient consumption in northern Iran, a high-risk area for esophageal cancer.
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    ABSTRACT: Our objectives were to investigate patterns of food and nutrient consumption in Golestan province, a high-incidence area for esophageal cancer (EC) in northern Iran. Twelve 24-h dietary recalls were administered during a 1-yr period to 131 healthy participants in a pilot cohort study. We compare here nutrient intake in Golestan with recommended daily allowances (RDAs) and lowest threshold intakes (LTIs). We also compare the intake of 27 food groups and nutrients among several population subgroups using mean values from the 12 recalls. Rural women had a very low level of vitamin intake, which was even lower than LTIs (P < 0.01). Daily intake of vitamins A and C was lower than LTI in 67% and 73% of rural women, respectively. Among rural men, the vitamin intakes were not significantly different from LTIs. Among urban women, the vitamin intakes were significantly lower than RDAs but were significantly higher than LTIs. Among urban men, the intakes were not significantly different from RDAs. Compared to urban dwellers, intake of most food groups and nutrients, including vitamins, was significantly lower among rural dwellers. In terms of vitamin intake, no significant difference was observed between Turkmen and non-Turkmen ethnics. The severe deficiency in vitamin intake among women and rural dwellers and marked differences in nutrient intake between rural and urban dwellers may contribute to the observed epidemiological pattern of EC in Golestan, with high incidence rates among women and people with low socioeconomic status and the highest incidence rate among rural women.
    Nutrition and Cancer 01/2009; 61(4):475-83. · 2.78 Impact Factor
  • Article: Dietary soya intake alters plasma antioxidant status and lipid peroxidation in postmenopausal women with the metabolic syndrome.
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    ABSTRACT: Postmenopausal women with the metabolic syndrome are at high risk of oxidative stress. Several studies have suggested possible antioxidant properties of soya, but little evidence is available regarding the effect of soya on oxidative stress in postmenopausal women with the metabolic syndrome. The objective of the present study was to determine the effects of soya consumption on plasma total antioxidant capacity (TAC) and malondialdehyde (MDA) level in postmenopausal women with the metabolic syndrome. A randomised cross-over trial was undertaken on forty-two postmenopausal women with the metabolic syndrome. Participants were randomly assigned to consume a control (Dietary Approaches to Stop Hypertension; DASH) diet, a soya protein diet, or a soya nut diet, each for 8 weeks. Red meat in the DASH diet (one serving per d) was replaced by soya protein in the soya protein period and by soya nuts in the soya nut period. Significant differences between the end values of the control diet, soya protein diet and soya nut diet were seen for MDA (0.70, 0.64 and 0.63 mumol/l; global P < 0.01). The results also showed a significant difference between the end values for TAC (1950, 2030 and 2110 mumol/l, respectively; P < 0.01). The difference from control for TAC was +4.5 % (P < 0.01) in the soya nut period and +5.8 % (P < 0.01) in the soya protein regimen. Both soya nuts and soya protein decreased MDA significantly compared with the control diet (difference from control was - 7.9 % (P < 0.01) in the soya nut period and - 9.4 % (P < 0.01) in the soya protein diet). We conclude that soya consumption reduces plasma MDA and increases plasma TAC levels in postmenopausal women with the metabolic syndrome.
    British Journal Of Nutrition 10/2007; 98(4):807-13. · 3.01 Impact Factor
  • Article: Effect of zinc and iron supplementation on indicators of iron, zinc and vitamin A status of primary school children.
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    ABSTRACT: The aim of this study was to investigate the effects of supplementation of iron and zinc, alone or combined, on iron, zinc and vitamin A status in primary school children. The study was a randomized double-blind clinical trial in which 79 primary school children, 11 year of age, were randomly supplemented for 4 months with iron (20 mg day(-1)), zinc (20 mg day(-1)), or iron+ zinc (20 mg of each day(-1)). Serum zinc significantly increased in all supplemented groups. Compared with iron alone, zinc supplementation and zinc plus iron were associated with higher serum zinc and plasma ferritin levels. Zinc supplementation resulted in a decrease in serum ferritin. Children deficient in zinc at the beginning of the study had a significantly greater increase in serum zinc than did children with adequate serum zinc. Four months after supplementation, hemoglobin remained unchanged in all supplemented group. Plasma retinol levels decreased in all supplemented groups. Supplementation with iron plus zinc improved serum zinc and plasma ferritin. However, since plasma retinol levels decreased as a result of supplementation, more studies are needed on the matter.
    Pakistan Journal of Biological Sciences 05/2007; 10(7):1088-92.
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    Article: Dietary patterns and markers of systemic inflammation among Iranian women.
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    ABSTRACT: Few studies have examined the contribution of major dietary patterns to markers of systemic inflammation. This study was conducted to evaluate the association of major dietary patterns with markers of systemic inflammation among Iranian women. In a cross-sectional study of 486 healthy women aged 40-60 y, we assessed usual dietary intakes by means of an FFQ. Dietary patterns were identified by factor analysis. Anthropometric measurements were made and blood samples from fasting were taken for measuring inflammatory markers. The healthy pattern (high in fruits, vegetables, tomato, poultry, legumes, tea, fruit juices, and whole grains) was inversely related to plasma concentrations of C-reactive protein (CRP) (beta = -0.09, P < 0.001), E-selectin (beta = -0.07, P < 0.05), and soluble vascular cell adhesion molecule-1 (sVCAM-1) (beta = -0.08, P < 0.001) after control for potential confounders; with further adjustment for BMI and waist circumference (WC), the associations remained significant for CRP (beta = -0.05, P < 0.05) and sVCAM-1 (beta = -0.04, P < 0.05). In contrast, the western pattern score (high in refined grains, red meat, butter, processed meat, high-fat dairy, sweets and desserts, pizza, potato, eggs, hydrogenated fats, and soft drinks) was positively related to CRP (beta = 0.08, P < 0.001), serum amyloid A (SAA) (beta = 0.11, P < 0.05), IL-6 (beta = 0.09, P < 0.001), soluble intercellular adhesion molecule-1 (beta = 0.05, P < 0.05), and sVCAM-1 concentrations (beta = 0.07, P < 0.05). However, after additional control for BMI and WC, the associations remained significant only for SAA (beta = 0.06, P < 0.05) and IL-6 (beta = 0.07, P < 0.001). The traditional dietary pattern (high in refined grains, potato, tea, whole grains, hydrogenated fats, legumes, and casserole) was positively associated with the plasma IL-6 concentration (beta = 0.04, P < 0.05) when we controlled for confounders including BMI and WC. The findings suggest an independent association between major dietary patterns and plasma concentrations of markers of inflammation.
    Journal of Nutrition 04/2007; 137(4):992-8. · 3.92 Impact Factor
  • Article: Soy consumption, markers of inflammation, and endothelial function: a cross-over study in postmenopausal women with the metabolic syndrome.
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    ABSTRACT: To determine the effects of soy consumption on markers of inflammation and endothelial function in postmenopausal women with the metabolic syndrome. This randomized cross-over clinical trial included 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 8 weeks. Red meat in the DASH diet (one serving/day) was replaced by soy protein in the soy protein diet and by soy nut in the soy nut diet. For nitric oxide levels, the difference from the control diet was 9.8% (P < 0.01) on the soy nut and -1.7% (P = 0.10) on the soy protein diets. The difference from the control diet for serum E-selectin was -11.4% (P < 0.01) on the soy nut consumption and -4.7% (P = 0.19) on the soy protein diet. Soy nut consumption reduced interleukin-18 compared with the control diet (difference from the control diet: -9.2%, P < 0.01), but soy protein did not (difference from the control diet: -4.6%, P = 0.14). 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. Short-term soy nut consumption reduced some markers of inflammation and increased plasma nitric oxide levels in postmenopausal women with the metabolic syndrome.
    Diabetes care 04/2007; 30(4):967-73. · 8.09 Impact Factor
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    Article: Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women.
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    ABSTRACT: Although individual foods and nutrients have been associated with the metabolic syndrome, whether dietary patterns identified by factor analysis are also associated with this syndrome is not known. We aimed to evaluate the association of major dietary patterns characterized by factor analysis with insulin resistance and the metabolic syndrome among women. Usual dietary intakes were assessed in a cross-sectional study of 486 Tehrani female teachers aged 40-60 y. Anthropometric and blood pressure measurements were performed, and fasting blood samples were taken for biomarker assessment. The metabolic syndrome was defined according to Adult Treatment Panel III guidelines, and insulin resistance was defined as the highest quartile of the homeostasis model assessment scores. We identified 3 major dietary patterns by factor analysis: the healthy dietary pattern, the Western dietary pattern, and the traditional dietary pattern. After control for potential confounders, subjects in the highest quintile of healthy dietary pattern scores had a lower odds ratio for the metabolic syndrome (odds ratio: 0.61; 95% CI: 0.30, 0.79; P for trend < 0.01) and insulin resistance (0.51; 0.24, 0.88; P for trend < 0.01) than did those in the lowest quintile. Compared with those in the lowest quintile, women in the highest quintile of Western dietary pattern scores had greater odds for the metabolic syndrome (1.68; 1.10, 1.95; P for trend < 0.01) and insulin resistance (1.26; 1.00, 1.78; P for trend < 0.01). Higher consumption of traditional dietary pattern was significantly associated only with abnormal glucose homeostasis (1.19; 1.04, 1.59; P < 0.05). Significant associations exist between dietary patterns identified by factor analysis, the metabolic syndrome, and insulin resistance.
    American Journal of Clinical Nutrition 03/2007; 85(3):910-8. · 6.67 Impact Factor
  • Article: Soy inclusion in the diet improves features of the metabolic syndrome: a randomized crossover study in postmenopausal women.
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    ABSTRACT: 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. This randomized crossover clinical trial was undertaken in 42 postmenopausal women with the metabolic syndrome. Participants were randomly assigned to consume a control diet (Dietary Approaches to Stop Hypertension, DASH), a soy-protein diet, or a soy-nut diet, each for 8 wk. Red meat in the DASH period was replaced by soy-protein in the soy-protein period and by soy-nut in the soy-nut period. The soy-nut regimen decreased the homeostasis model of assessment-insulin resistance score significantly compared with the soy-protein (difference in percentage change: -7.4 +/- 0.8; P < 0.01) or control (-12.9 +/- 0.9; P < 0.01) diets. Consumption of soy-nut also reduced fasting plasma glucose more significantly than did the soy-protein (-5.3 +/- 0.5%; P < 0.01) or control (-5.1 +/- 0.6%; P < 0.01) diet. The soy-nut regimen decreased LDL cholesterol more than did the soy-protein period (-5.0 +/- 0.6%; P < 0.01) and the control (-9.5 +/- 0.6%; P < 0.01) diet. Soy-nut consumption significantly reduced serum C-peptide concentrations compared with control diet (-8.0 +/- 2.1; P < 0.01), but consumption of soy-protein did not. Short-term soy-nut consumption improved glycemic control and lipid profiles in postmenopausal women with the metabolic syndrome.
    American Journal of Clinical Nutrition 03/2007; 85(3):735-41. · 6.67 Impact Factor
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    Article: Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome.
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    ABSTRACT: Limited data on the relation between the risk of the metabolic syndrome and fruit and vegetable intakes and inflammatory marker concentrations are available. We evaluated the relation between fruit and vegetable intakes and C-reactive protein (CRP) concentrations and the prevalence of the metabolic syndrome. Fruit and vegetable intakes were assessed with the use of a validated semiquantitative food-frequency questionnaire in a cross-sectional study of 486 Tehrani female teachers aged 40-60 y. Anthropometric measurements were made and blood pressure was assessed according to standard methods. Fasting blood samples were taken for biochemical measurements. The metabolic syndrome was defined on the basis of the National Cholesterol Education Program Adult Treatment Panel III guidelines. The reported mean daily fruit and vegetable intakes were 228 +/- 79 and 186 +/- 88 g/d, respectively. Both fruit and vegetable intakes were inversely associated with plasma CRP concentrations. After statistical control for age, body mass index, and waist circumference, mean plasma CRP concentrations across increasing quintile categories of fruit intakes were 1.94, 1.79, 1.65, 1.61, and 1.56 mg/L and of vegetable intakes were 2.03, 1.82, 1.58, 1.52, and 1.47 mg/L (P for trend < 0.01 for both). These inverse associations remained significant after additional control for other potential confounding variables and dietary factors. After control for potential confounders, persons in the highest quintile of fruit intake had a 34% (95% CI: 20%, 46%) lower and those in the highest quintile of vegetables intake had a 30% (95% CI: 16%, 39%) lower chance of having the metabolic syndrome than did those in the lowest quintiles. Higher intakes of fruit and vegetables are associated with a lower risk of the metabolic syndrome; the lower risk may be the result of lower CRP concentrations. These findings support current dietary recommendations to increase daily intakes of fruit and vegetables as a primary preventive measure against cardiovascular disease.
    American Journal of Clinical Nutrition 12/2006; 84(6):1489-97. · 6.67 Impact Factor