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Background: Metabolic syndrome (MetS) is a cluster of clinical and metabolic features that include central obesity, dyslipidemia, hypertension and impaired glucose tolerance. These features are accompanied by increased oxidative stress and impaired antioxidant defenses. Vitamin E is a major factor in the non-enzymatic antioxidant defenses. The aim of present study was to investigate the association between serum levels of vitamin E and the presence of MetS and its components in a sample population of Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study., Methods: This cross-sectional study was carried out in 128 subjects with MetS and 235 subjects without MetS. MetS was defined according to the International-Diabetes-Federation criteria. Serum levels of vitamin E were measured using the HPLC method. Anthropometric and biochemical parameters were measured using standard protocols.  Results. MetS patients had significantly lower serum levels of vitamin E (Vit E), Vit E/Total cholesterol (TC), and Vit E/ (TC+triglyceride(TG)) compared to the control group (P < 0.05).  Vit E/ (TG+TC) was also significantly lower in diabetics or those with elevated levels of high sensitive C-reactive protein (hs-CRP). Additionally, there was a significant association between Vit E/ (TG + Total Cho) and the number of components of the metabolic syndrome (p= 0.02) Conclusions. There is a significant inverse association between indices of Vit E status and the presence of MetS. Moreover, a significantly lower Vit E/ (TC+TG) was observed along with individuals with increasing numbers of components of the MetS.

Background: The role of dietary patterns in metabolic syndrome has not been investigated sufficiently among Iranian population. The aim of this study is to investigate the association of major dietary patterns with the risk of metabolic syndrome and its components among healthy individuals of Iran., Methods: This is a cross-sectional study that was performed on 5895 men and women who participated in MASHAD study project. Factor analysis was employed to determine major dietary patterns with regard to a validated 65-item food frequency questionnaire. Metabolic syndrome was diagnosed using international diabetes federation (IDF). Logistic regression analysis was used to evaluate the association between dietary patterns and metabolic syndrome risk to generate odds ratios (ORs) and 95% confidence intervals (CI)., Results: Three major dietary patterns (Balanced, Western and high carbohydrate) were identified. The Western pattern showed a positive association with metabolic syndrome (OR [95%CI] for highest vs. lowest tertile: 1.58 [1.21-2.06]; p value = 0.001). The high carbohydrate dietary pattern was associated with higher metabolic syndrome risk (OR [95%CI] for highest vs. lowest tertile: 1.17 [1.02-1.33]; P value = 0.022). The Balanced dietary pattern was unrelated to metabolic syndrome, but was related to some individual risk factors for metabolic syndrome., Conclusions: These results suggest that the Western and high carbohydrate patterns are associated with an increased risk for metabolic syndrome among Iranian adults. The causality of these associations needs to be confirmed., (Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Obesity is an important feature of the metabolic syndrome and is associated with an increased risk of type 2 diabetes mellitus, cardiovascular disease, and some cancers. The aim of this study was to determine the relationship between body fat percentage and an imbalance of the prooxidant/antioxidant balance (PAB), serum superoxide dismutase (SOD1) and inflammation (serum hs-CRP) and increase risk of metabolic syndrome and diabetes mellitus. In this study, 9154 individuals were recruited as part of the Mashhad Stroke and Heart Association Disorder (MASHAD) study. Subjects were categorized into two groups according to body fat percentage as defined >25% in male and > 30% in female, according to gender. Biochemical factors, including serum PAB, SOD1, and hs-CRP were measured in all subjects. SPSS version 18 was used for statistical analyses for all. GraphPad Prism 6 for figures was used. Of total number of subjects (9154), 6748 (73.7%) were found to have a high body fat (BF) percentage. Serum hs-CRP and PAB were significantly higher in individuals with a high BF percentage (P < 0.05) but SOD1 was not significantly different between the two groups (P > 0.05). BF percentage, serum PAB and serum hs-CRP were significantly higher in individuals with metabolic syndrome and diabetes versus those without metabolic syndrome and diabetes mellitus (P < 0.05), however serum SOD1 was significantly lower in individuals with metabolic syndrome (P < 0.005). Oxidative stress and inflammation are two factors that may link the presence of high BF percentage with the development of metabolic syndrome, diabetes, and cardiovascular disease. © 2018 BioFactors, 45(1):35-42, 2019., (© 2018 International Union of Biochemistry and Molecular Biology.)

There is persuasive evidence that oxidative stress and inflammation are features of the metabolic syndrome (MetS). We have investigated the relationship between serum pro-oxidant-antioxidant balance (PAB), serum uric acid, and high sensitive C-reactive protein (hs-CRP) in 7,208 participants from the MASHAD study cohort, who were categorized as having MetS, or not, using International Diabetes Foundation (IDF) criteria. Serum hs-CRP was measured by Polyethylene glycol (PEG)-enhanced immunoturbidimetry method using an Alycon analyzer (ABBOTT, Chicago, IL, USA). A colorimetric method was used to determine serum PAB. Serum PAB values were significantly higher in the individuals with MetS compared to those without (P < 0.001). Furthermore, there was a step-wise increase in mean serum PAB concentrations as the number of components of the MetS increased. The combination of features of MetS had different association with serum PAB and hs-CRP. Multiple linear regression analysis showed that body mass index (BMI, B = 2.04, P < 0.001), physical activity level (PAL, B = 18.728, P = 0.001), serum uric acid (B = -1.545, P = 0.003), and serum C-reactive protein (B = 0.663, P < 0.001) were associated with serum PAB in individuals with MetS. Multiple logistic regression analysis showed that serum PAB (B = 0.002, P < 0.001, CI = 1.001-1.003), serum C-reactive protein (B = 0.007, P < 0.015, CI = 1.001-1.013), and serum uric acid (B = 0.207, P < 0.001, CI = 1.186-1.277) were all significantly associated with MetS. Serum PAB was strongly associated with serum uric acid and serum hs-CRP. Moreover, serum PAB as well as serum uric acid and serum hs-CRP were independently associated with MetS. Individual features of MetS were also associated with serum hs-CRP and PAB. © 2018 BioFactors, 44(3):263-271, 2018., (© 2018 International Union of Biochemistry and Molecular Biology.)

Background/objectives: Metabolic syndrome (MetS) is characterized by abdominal obesity, dyslipidemia, hypertension and glucose intolerance, and is associated with an increased risk of developing cardiovascular disease (CVD), diabetes mellitus and related diseases. Circulating levels of inflammatory markers such as C-reactive-protein (CRP) have reported to be associated with CVD. Against this background, the prevalence of MetS is increasing globally, and thus predictive biomarkers are required for identification of MetS patients at an increased risk. Here we explored the value of CRP as a biomarker in 7284 subjects and also investigated which features of MetS have the greatest association with the hs-CRP level., Subjects/methods: The subjects were recruited from the Mashhad stroke and heart atherosclerotic disorder study. Anthropometric factors and biochemical parameters (for example, high-sensitivity CRP (hs-CRP), high-density lipoprotein/low-density lipoprotein, triglycerides (TGs) and fasting blood glucose (FBG)) were determined. Univariate and multivariate analyses were conducted to evaluate the association of hs-CRP and MetS., Results: Our results illustrated that the concentration of serum hs-CRP increased progressively with the number of MetS components, and subjects who fulfilled the criteria of MetS for waist circumference, TGs, blood pressure and FBG were found to have hs-CRP of 0.53, 0.38, 0.34 and 0.71 mg/l, respectively, higher than matched-subjects. Importantly, FBG had the greatest association with hs-CRP concentration., Conclusions: Our data demonstrate the significant association between MetS components with hs-CRP, indicating that this association was cumulative by increasing the number of the defining features of MetS, supporting further studies to explore the value of emerging marker as a novel method for detecting individuals at high risk of developing MetS.

Background: The prevalence of metabolic syndrome (MetS) is increasing globally. It is associated with a significant risk of developing type 2 diabetes mellitus and cardiovascular disease., Materials and Methods: The relationship between adherence to several different dietary patterns and the presence of MetS was explored in an Iranian population sample of 5764 subjects., Results: We observed that the prevalence of MetS was 13% and 18% in men and women, respectively. There were three main dietary patterns: the first pattern was characterized by protein, carbohydrate, starch, glucose, fructose, sucrose, maltose, dietary fibre, potassium, calcium, magnesium, phosphorus, iron, zinc, manganese, thiamine, riboflavin, carotene, vitamin c and lactose; second representative of fat, saturated fat, monounsaturated fat, polyunsaturated fat, cholesterol, sodium, calcium, zinc, phosphorus, iodine, vitamin D, chloride, betaine, niacin; third consisting of copper, selenium, vitamin A, riboflavin, vitamin B12. In this dietary pattern, individuals in first quintile had a higher consumption of total fat, saturated fatty acid, monounsaturated fatty acid, polyunsaturated fatty acid, cholesterol and vitamin A. In the second pattern, individuals in the fifth quintile ate less carbohydrate, dietary fibre, glucose, Fructose, potassium compared to first quintile. We found that individuals in the first quintile in pattern 3 had higher intakes of protein, zinc and calcium compared to other quintiles., Conclusions: We have found that a nutrient pattern which mostly characterized by dietary protein, carbohydrate, starch, glucose, fructose, sucrose, maltose was associated with a higher risk of MetS in both genders, while a pattern which was represent of copper, selenium, Vitamin A, riboflavin, vitamin B12 was associated with greater odds of Mets, in women., (© 2016 Stichting European Society for Clinical Investigation Journal Foundation.)

The metabolic syndrome (MetS) is considered to be a major risk factor for type 2 diabetes mellitus and cardiovascular diseases. It is characterized by central adiposity, high blood pressure, glucose intolerance and abnormalities of lipoprotein metabolism. The cause of MetS is likely to be due to a complex interaction between genetic and environmental factors. Liver X receptors alpha (NR1H3) and beta (NR1H2) play a key role in lipid and carbohydrate metabolism. The aim of this study was to investigate the contribution of genetic polymorphisms in the LXRs to risk of MetS and related traits. Two common SNPs in NR1H3 (rs11039155 and rs2279238) and in NR1H2 (rs17373080 and rs2695121) were genotyped using TaqMan assays in MetS patients (n=265) and controls (n=219). Logistic regression analyses were performed to calculate the odds ratios (ORs) as a measure of association of genotypes with the presence of MetS and related phenotypes. Although The NR1H2 polymorphism rs2695121 was nominally associated with MetS but correction for multiple-testing and adjustment for age, sex and number of MetS criteria, failed to identify any significant interactions associated with prevalence of MetS. However in the haplotype analysis, a LXRα haplotype AC, was more common in controls and was associated with a significant protective effect for MetS (OR [95% CI]=0.25 [0.07-0.88], p=0.031). In conclusion, this study suggests that the above-named variants in LXRα and LXRβ genes are not potential contributors to the risk of MetS and related traits in an Iranian population., (© 2013.)

Background: Heat shock protein 27 (HSP27) is an intracellular chaperone constitutively expressed in many cell types including cardio myocytes and endothelial cells. Circulating levels of HSP27 and anti-HSP27 antibody are higher in patients with CVD. Anti-HSP27 antibody concentrations were also reported to be increased in atherogenesis. We aimed to evaluate serum anti-HSP27 antibody titers in individuals with, or without, MetS in the MASHAD study cohort with large sample size in 6,568 subjects.

Introduction: Cardiovascular disease (CVD) is the leading cause of mortality and one of the main challenges for health systems worldwide. In this study, we aimed to evaluate the association of socio-demographic, lifestyle, psychological and anthropometric factors and underlying diseases such as hypertension (HTN), diabetes mellitus (DM) and metabolic syndrome (MS) with CVD risk among a subpopulation of Iranian adults.Methods: In this prospective study, a total of 235 CVD patients along with 8405 healthy and non-symptomatic individuals who participated in MASHAD cohort study were enrolled. CVD diagnosis was performed by taking electrocardiogram (ECG) and medical history and performing physical examination for each participant. Health and lifestyle questionnaires, the Beck’s anxiety inventory (BAI), Beck’s depression inventory (BDI) and the James and Schofield human energy requirements equations were completed for all participants. Anthropometric measurements were also recorded for all subjects. All statistical analyses including chi-square and student independent T-test were performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA) at a significant level of 0.05.Results: We found that there were significant associations between CVD risk and age, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), diabetes mellitus (DM) and family history (FH) of CVD in both genders; though, there was a significant negative correlation between physical activity level (PAL) and risk of CVD among men and women. Also hypertension (HTN), metabolic syndrome (MS), depression and anxiety were positively and higher education level was negatively associated with CVD events only in females. While, waist-to-hip ratio (WHR) was an independent predictor of CVD among males (P-value< 0.05).Conclusion: There are several modifiable and non-modifiable risk factors that are independently considered as CVD predictors among the MASHAD study population. It is recommended to prioritize the lifestyle modification, development of local risk calculators and gender-related stratified strategies in order to prevent and manage CVD among the Iranian population.

Abstract Objectives The adverse effects of cigarette smoking have been widely studied before, whilst the effects of hookah smoking has received less attention, although it is a common habit in the Middle East. Here we have investigated the effects of cigarette and hookah smoking on biochemical characteristics in a representative population sample derived from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study, from Northeastern Iran. Study design A total of 9840 subjects from the MASHAD population study were allocated to five groups; non-smokers (6742), ex-smokers (976), cigarette smokers (864), hookah smokers (1067), concomitant cigarette and hookah smokers (41). Methods Baseline characteristics were recorded in a questionnaire. Biochemical characteristics were measured by routine methods. Data were analyzed using SPSS software and p

Introduction: Cardiovascular disease (CVD) is the leading cause of mortality and one of the main challenges for health systems worldwide. In this study, we aimed to evaluate the association of socio-demographic, lifestyle, psychological and anthropometric factors and underlying diseases such as hypertension (HTN), diabetes mellitus (DM) and metabolic syndrome (MS) with CVD risk among a subpopulation of Iranian adults. Methods: In this prospective study, a total of 235 CVD patients along with 8405 healthy and nonsymptomatic individuals who participated in MASHAD cohort study were enrolled. CVD diagnosis was performed by taking electrocardiogram (ECG) and medical history and performing physical examination for each participant. Health and lifestyle questionnaires, the Beck's anxiety inventory (BAI), Beck's depression inventory (BDI) and the James and Schofield human energy requirements equations were completed for all participants. Anthropometric measurements were also recorded for all subjects. All statistical analyses including chi-square and student independent T-test were performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA) at a significant level of 0.05. Results: We found that there were significant associations between CVD risk and age, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), diabetes mellitus (DM) and family history (FH) of CVD in both genders; though, there was a significant negative correlation between physical activity level (PAL) and risk of CVD among men and women. Also hypertension (HTN), metabolic syndrome (MS), depression and anxiety were positively and higher education level was negatively associated with CVD events only in females. While, waist-to-hip ratio (WHR) was an independent predictor of CVD among males (P-value< 0.05). Conclusion: There are several modifiable and non-modifiable risk factors that are independently considered as CVD predictors among the MASHAD study population. It is recommended to prioritize the lifestyle modification, development of local risk calculators and gender-related stratified strategies in order to prevent and manage CVD among the Iranian population. [ABSTRACT FROM AUTHOR]

BACKGROUND: We aimed to compare dietary macronutrient intake and physical activity level (PAL) between community-based samples of Iranian adults with metabolic syndrome (MetS+) and without metabolic syndrome (MetS-). METHODS: This cross-sectional study was conducted among 3800 men and women aged 35-65 years. The International Diabetes Federation (IDF) criteria were used to define MetS. A 24-hour recall was used to evaluate dietary intake. The James and Schofield human energy requirements equations were used to calculate PAL and questions were categorized into time spent on activities during work (including housework), during non-work time, and in bed. RESULTS: The mean ± standard deviation (SD)age of the MetS+ and MetS-subjects was, respectively, 48.8 ± 7.8 years (521 men and 1178 women) and 47.6 ± 7.5 years (714 men and 1222 women) (P = 0.930). The mean energy intake was higher in the MetS+ men compared with MetSmen (1977.4 ± 26.6 vs. 1812.7 ± 21.7 Kcal; P < 0.001). Crude and energy-adjusted intake from total fat was lower in MetS+ women compared with MetS-women (both P < 0.010). PALs were lower in MetS+ compared with MetS-participants (P < 0.001). After adjusting for confounders, no significant association was observed between the intake of individual macronutrients and MetS. In contrast, PAL was inversely associated with the incidence of MetS [OR = 0.34 (95% CI: 0.17-0.57); P < 0.001]. CONCLUSION: In the current study, there was an inverse relationship between PAL and the risk of MetS, but no association between individual dietary macronutrients intake and the incidence of MetS. [ABSTRACT FROM AUTHOR]

Background Serum high-sensitive C-reactive protein (hs-CRP) concentrations independently predict the development of diabetes, metabolic syndrome and cardiovascular disease. However, the impact of dietary factors on serum high-sensitive C-reactive protein concentrations in diabetic patients has received limited attention. We aimed to investigate the association between dietary factors and high-sensitive C-reactive protein , among diabetic patients with and without hypertension and healthy subjects. Methods In this cross-sectional study, diabetics with ( n = 325) and without hypertension ( n = 599) and healthy individuals ( n = 1220) were recruited in Mashhad, Iran. Dietary intake was assessed by 24-h recall. Biochemical parameters including serum high-sensitive C-reactive protein were measured using standard protocols. Stepwise multiple regression analysis was used to predict whether serum high-sensitive C-reactive protein concentration was associated with dietary constituents. Results High-sensitive C-reactive protein was significantly higher among hypertensive and non-hypertensive diabetic patients compared with healthy subjects ( P < 0.001). The dietary intake of zinc + 6.4% and calcium -3.4% and body mass index +3.9% explained approximately 13.7% of the variation in serum high-sensitive C-reactive protein among diabetic hypertensive patients. Approximately 9.7% of the variation in serum high-sensitive C-reactive protein in diabetic non-hypertensive patients could be explained by body mass index, and intake of sodium, iron and cholesterol. In the healthy subjects, approximately 4.4% of the total variation in serum high-sensitive C-reactive protein concentration could be explained by cholesterol consumption and waist circumference. Conclusion Serum high-sensitive C-reactive protein concentrations were found to be a significant predictor for hypertensive and non-hypertensive diabetic subjects. There was a significant association between dietary factors include zinc, iron, sodium and cholesterol and serum high-sensitive C-reactive protein, while there was an inverse association between dietary calcium and serum high-sensitive C-reactive protein in diabetic hypertensive individuals. [ABSTRACT FROM AUTHOR]

Metabolic syndrome is a clustering of metabolic abnormalities that include central obesity, dyslipidemia, insulin resistance, and increased blood pressure. The aim of this study was to evaluate and identify the risk factors associated with metabolic syndrome by using a decision tree algorithm as a data mining tool. A total of 6578 individuals were included in the analysis using a body mass index (BMI) cutoff >= 25 kg/m for the definition of overweight, in accordance with International Diabetic Federation (IDF) criteria. Subjects with obesity plus two or more of the criteria for defining metabolic syndrome were included in the metabolic syndrome group. Of the 6578 subjects, 70% (4539 subjects) were selected as a 'training' dataset and 30% (2039 cases) were used as the testing dataset to evaluate the performance of decision tree. Two models were evaluated. In model I, age, sex, educational level, marriage and job status, fasted serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), uric acid, fasting blood glucose (FBG), high sensitive C-reactive protein (Hs-CRP), systolic (SBP) and diastolic (DBP) blood pressure, and physical activity level were considered as input variables and in model II, age, gender, Hs-CRP, white blood cell (WBC), red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), Platelets (PLT), red cell distribution width (RDW), and platelet distribution width (PDW) were used as input variables. The validation of the model was assessed by constructing a receiver operating characteristic (ROC) curve. The results showed that in model I, serum fasted TG was the most important associated risk factor for metabolic syndrome. In model II, serum Hs-CRP was identified as a risk factor of metabolic syndrome. The sensitivity, specificity, accuracy, and the area under the ROC curve (AUC) values for model I were 99%, 94%, 97% and 0.972 and for model II were 74%, 77%, 76% and 0.812, respectively. Our findings in model I suggest that the IDF criteria are suitable for identifying individuals within the Iranian population into those with, or without MetS. Furthermore, model II showed that serum Hs-CRP concentrations were identified as a risk factor for metabolic syndrome within the Iranian population. [ABSTRACT FROM AUTHOR]

Background Metabolic syndrome is defined by a clustering of cardiovascular risk factors and is associated with a heightened inflammatory state. A raised serum high-sensitivity C-reactive protein, a marker of inflammation, is also known to associate with cardiovascular risk. We have investigated the relationship between the presence of metabolic syndrome and serum high-sensitivity C-reactive protein concentration in a large representative Persian population cohort without a history of cardiovascular disease. Methods The MASHAD study population cohort comprised 9778 subjects, who were recruited from the city of Mashhad, Iran, between 2007 and 2008. Several cardiovascular risk factors were measured in this population without cardiovascular disease. Individuals were categorized into quartiles of serum high-sensitivity C-reactive protein concentration: first quartile - 0.72 (0.59-0.85) (median [range]) mg/L, second quartile - 1.30 (1.14-1.4) mg/L, third quartile - 2.29 (1.92-2.81) mg/L and fourth quartile - 6.63 (4.61-11.95) mg/L, respectively. The prevalence of metabolic syndrome in each quartile was determined using either International Diabetes Federation or Adult Treatment Panel III criteria. Results The prevalence of metabolic syndrome was highest in the fourth quartile for serum high-sensitivity C-reactive protein (1220 subjects [50.0%]), and significantly higher than that in the first quartile (reference group) (634 subjects [25.9%]) ( P < 0.001). A positive smoking habit (OR, 1.47 [1.26-1.70], P < 0.001) and the presence of either metabolic syndrome-International Diabetes Federation (OR, 1.35 [1.18-1.55], P < 0.001) or metabolic syndrome-ATPIII (OR, 1.40 [1.18-1.50], P < 0.001) were strong predictors of a fourth quartile for serum high-sensitivity C-reactive protein concentration. Conclusions There was a significant association between high concentrations of serum high-sensitivity C-reactive protein and the presence of metabolic syndrome among individuals without a history of cardiovascular disease in our Persian cohort. [ABSTRACT FROM AUTHOR]

Objectives: The adverse effects of cigarette smoking have been widely studied before, whilst the effects of hookah smoking has received less attention, although it is a common habit in the Middle East. Here we have investigated the effects of cigarette and hookah smoking on biochemical characteristics in a representative population sample derived from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study, from Northeastern Iran. Study design: A total of 9840 subjects from the MASHAD population study were allocated to five groups; non-smokers (6742), ex-smokers (976), cigarette smokers (864), hookah smokers (1067), concomitant cigarette and hookah smokers (41). Methods: Baseline characteristics were recorded in a questionnaire. Biochemical characteristics were measured by routine methods. Data were analyzed using SPSS software and p < 0.05 was considered significant. Results: After adjustment for age and sex; the presence of CVD, obesity, metabolic syndrome, DM and dyslipidemia were significantly (p < 0.001) related to smoking status. After multivariate analysis, HDL (p < 0.001), WBC (p < 0.001), MCV (p < 0.05), PLT (p < 0.01) and RDW (p < 0.001), and the presence of CVD (p < 0.01), obesity (p < 0.001), metabolic syndrome (p < 0.05) and DM (p < 0.01) remained significant between cigarette smokers and non-smokers. Between hookah smokers and non-smokers; uric acid (p < 0.001), PLT (p < 0.05) and RDW (p < 0.05), and the presence of obesity (p < 0.01), metabolic syndrome (p < 0.001), diabetes (p < 0.01) and dyslipidemia (p < 0.01) remained significant after logistic regression. Conclusion: There was a positive association between hookah smoking and metabolic syndrome, diabetes, obesity and dyslipidemia which was not established in cigarette smoking. [ABSTRACT FROM AUTHOR]

Background: Anemia is a serious public health problem which may be associated with cardiovascular diseases (CVDs) and brain damage. This survey aims to determine the prevalence of anemia and its association with demographic and biochemical factors and metabolic syndrome in a human sample derived from the MASHAD cohort study. Methods: This survey was conducted on a sub-sample of 9847 individuals aged 35 to 65 as part of the MASHAD cohort study. Demographic characteristics and biochemical and anthropometrics indices were recorded. Data were analyzed using SPSS version 20. Results: Anemia was seen in 11.5% of the population. Anemia was significantly more prevalent in younger subject (P < 0.001), females (P < 0.001) and those with elevated body mass index (BMI) (P < 0.001). Mean high-density lipoprotein (HDL) was higher in anemic participant (P = 0.032). The incidence of anemia was significantly lower in smokers (P < 0.001) and also participant with hypertension (HTN) (P < 0.001), diabetes mellitus (DM) (P < 0.001) and metabolic syndrome (MetS) (P < 0.001). Mean FBG (P < 0.001), TG (P < 0.001), total cholesterol (P < 0.001), LDL (P < 0.001) and uric acid (P < 0.001) were significantly lower in anemic subjects. Cholesterol, MetS, low-density lipoprotein (LDL), BMI, uric acid, diabetes mellitus and also TG remained significantly different after multivariate analysis between anemic and healthy participants. Conclusion: The studied population had a lower prevalence of anemia compared to the previous WHO report for Iranians. Iron deficiency is recognized as the most important cause of anemia in Iran; however, further investigations will be need to confirm this pattern. We demonstrated that anemia is adversely associated with MetS and DM. [ABSTRACT FROM AUTHOR]