174,533 research outputs found

    The association between Metabolic Syndrome and serum levels of lipid peroxidation and interleukin-6 in Gorgan

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    Background: There are limited studies on the relationship between inflammatory marker such as IL-6 and lipid peroxidation and metabolic syndrome. Objective: The aim of present study was to assess IL-6 and lipid peroxidation in subjects with and without the metabolic syndrome and their association with metabolic syndrome components. Methods: Age and gender matched 40 subjects with metabolic syndrome and 40 control groups took part in this study. Results: The mean malondialdehyde level was significantly higher in overweight and obese subjects with metabolic syndrome than control groups (P. <. 0.05). The mean level of IL-6 in men and the mean level of malondialdehyde in women with metabolic syndrome was significantly higher than control groups (p <. 0.05). There were significant positive correlation between malondialdehyde and fasting blood glucose, triglyceride and systolic blood pressure (p <. 0.05). Conclusions: Our results suggest that higher levels of IL-6 and malondialdehyde may cause insulin resistance and metabolic disorders in all subjects with metabolic syndrome. Malondialdehyde level shows strong association with some metabolic syndrome components. This means the greater risk of metabolic syndrome. © 2015

    The Metabolic Syndrome among Postmenopausal Women in Gorgan

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    In this study, we aimed to assess levels of serum 25-hydroxyvitamin D in relation to metabolic syndrome among postmenopausal women in Gorgan. The study group included 100 postmenopausal women who were referred to the different Health Centers in Gorgan. Body mass index, waist circumference, Hip, waist to hip ratio, diastolic blood pressure, triglyceride, fasting blood glucose and 25-hydroxyvitamin D levels were significantly higher in postmenopausal women with metabolic syndrome, but HDL-cholesterol was lower. Prevalence of the metabolic syndrome was 31%. There were significant differences in 25-hydroxy vitamin D of postmenopausal women with and without vitamin D deficiency. Prevalence of the vitamin D deficiency in postmenopausal women was 30%. There were significant differences in 25-hydroxy vitamin D of postmenopausal women with and without vitamin D deficiency who had metabolic syndrome. Our results show that postmenopausal status might be a predictor of metabolic syndrome in this area. Our findings suggested that vitamin D levels have no association with metabolic syndrome. There were no significant differences in vitamin D levels in postmenopausal women with and without metabolic syndrome. Vitamin D deficiency is not associated with the metabolic syndrome

    Prevalence of metabolic syndrome in baluch women in Chabahar

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    Epidemiological studies have shown the importance of the metabolic syndrome. With estimation of the metabolic syndrome, it may predict cardiovascular disease, sudden death and the presence of some other cardiovascular risk factors. The aim of this study was to assess the metabolic syndrome among Baluch women. Our study consisted of 120 Baluch women. Baseline data of Baluch women, prevalence of metabolic syndrome and its components and distribution of body mass index were determined. The mean Body Mass Index (BMI), waist circumference, systolic blood pressure, triglyceride, High Density Lipoprotein-Cholesterol (HDL-Chol.) and fasting blood glucose levels were significantly higher in the subjects with metabolic syndrome. The prevalence of HDL-cholesterol, high triglyceride, high fasting glucose levels, high waist circumference and high blood pressure were shown to be 33.3, 20.8, 12.5, 11.8 and 2.5, respectively. HDL-cholesterol (33.3) and high triglyceride levels (20.8) were the most frequent characteristics of metabolic components. The prevalence of subject with normal weight, overweight and obese BMIs were 77.5, 15 and 7.5, respectively. About 9.17, 4.17 and 4.17 of Baluch women had three, four and five criteria of metabolic syndrome components, respectively. This study reveals that there is a significant difference in the metabolic syndrome components in patients with and without metabolic syndrome. The prevalence of HDL-cholesterol and high triglyceride in Baluch women was highest. Definition of metabolic syndrome may help physicians to estimate, decrease and prevent coronary heart disease and cardiovascular morbidity and mortality in subjects with metabolic syndrome. © 2015 Asian Network for Scientific Information

    The Role of Higher Protein Diets in the Regulation of Mood and Sleep in Patients with Metabolic Syndrome

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    Metabolic Syndrome is becoming a more prevalent health issue within the United States, currently affecting 22% of adults (Capuron et al., 2008). Several factors contribute to the diagnosis of Metabolic Syndrome, including obesity, high levels of triglycerides, elevated blood pressure, and low high-density lipoprotein cholesterol. Metabolic Syndrome puts those who have it at an increased risk for numerous diseases, such as type 2 diabetes, cardiovascular disease, and cancer (Jennings et al., 2007). Several studies have shown that Metabolic Syndrome plays a negative role in sleep and mood of those with the disease. Individuals with Metabolic Syndrome often have poor sleep quality, which could contribute to worsening of the risk factors associated with the disease (Hung et. al 2013). Metabolic Syndrome has also been linked to obstructive sleep apnea and is prevalent in those with the disease (Parish et al., 2007). There is also evidence that short sleep duration and poor sleep quality are associated with obesity, one of the risk factors for Metabolic Syndrome (Jennings et al., 2007)

    The metabolic syndrome in type 2 diabetic subjects in Gorgan, Iran

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    Objective: To assess the prevalence of the metabolic syndrome in subjects diagnosed with Type 2 diabetes in Gorgan, Iran.Methods: Data were collected from 200 subjects with Type 2 diabetes mellitus and they were categorized aswith or without the metabolic syndrome. Metabolic syndrome was diagnosed using Adult Treatment Panel-III(ATP-III) guidelines.Results: The overall metabolic syndrome prevalence was 51.50%. The mean age of all the subjects was53.65±9.50 years. There were 122 females and 78 males of whom 65 females and 38 males had the metabolic syndrome. The mean uration of diabetes was 7.70±1.29 years. Mean triglycerides were 185.15±56.63 mg/dl,and fasting blood glucose 153 ±19.6 mg/dl. These levels were significantly higher in the subjects with type-2diabetes with metabolic syndrome, but the mean HDL-cholesterol was 37.96±5.09 mg/dl and this was lower (p<0.001). Female and male subjects with metabolic syndrome had significantly longer (except HDL-cholesterol)duration of diabetes, higher Triglyceride, and fasting blood glucose levels (p < 0.001, p < 0.05).Conclusion: This study showed a high prevalence of the metabolic syndrome in subjects with type 2 diabetes. Females were more affected than males

    Age related metabolic syndrome among hemodialysis patients in Gorgan, Iran

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    People with metabolic syndrome are at high risk for developing cardiovascular disease. The present study aimed to determine the age related metabolic syndrome of hemodialysis patients. The biochemical parameters and demographic information were registered. The prevalence of metabolic syndrome was significantly high in ages 50-59 and 60-69 years in hemodialysis patients when compared with other age groups (P< 0.05). There was elevated frequency of metabolic syndrome from age 50-59 and 40-49 years in male and female hemodialysis patients, respectively. The frequency of metabolic syndrome in female subjects (65.27%) was higher than male (47.14%, P<0.05). The prevalence of metabolic syndrome was high in ages 50-59 years in males and females. There was a significant difference in hemodialysis patients with metabolic syndrome in ages 50-59 years in males and from ages 40-49, 50-59 and 60-69 years in females (P< 0.05). Our results show that 25.71%, 18.57% and 2.86% males and 36.11%, 20.83% and 8.33% females had three, four and five criteria for metabolic syndrome, respectively. The results of this study showed that females patients were more affected than males. This may depended on the specific lifestyle alterations among females and males patients in this area. Marjani et al

    Prevalence of the metabolic syndrome in Chinese adolescents

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    Since national figures on the occurrence of metabolic syndrome among Chinese adolescents are lacking, this study aims to estimate its prevalence and distribution among Chinese youngsters. The 2002 China National Nutrition and Health Survey is a nationally representative cross-sectional study. Applying the criteria for US adolescents, we estimated the prevalence of metabolic syndrome among 2761 adolescents aged 15 to 19 years. The prevalence of metabolic syndrome among Chinese adolescents overall was 3·7% (10% in US adolescents). It was 35·2 %, 23·4% and 2·3% among adolescents who were overweight (BMI 95thpercentile),atriskofoverweight(BMIbetween85thand95thpercentile)andnormalweight(BMIbelowthe85thpercentile),respectively.Urbanboyshadthehighestrate(5895th percentile), at risk of overweight (BMI between 85th and 95th percentile) and normal weight (BMI below the 85th percentile), respectively. Urban boys had the highest rate (5·8 %) compared with girls and rural youngsters. Among adolescents who had a BMI 85th percentile and one or two parent(s) with metabolic syndrome, the prevalence was 46·4 %. A total of 96% of overweight adolescents had at least one and 74·1% overweight adolescents had at least two abnormalities of metabolic syndrome. Based on these figures, it is estimated that more than three million Chinese adolescents have metabolic syndrome. Both overweight and metabolic syndrome prevalence among adolescents are still relatively low in China, but the prevalence of metabolic syndrome among Chinese overweight adolescents is similar to those living in the USA

    Re-evaluation of waist circumference in metabolic syndrome: a comparison between Japanese men and women

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    We re-evaluated the criteria for waist circumference to predict the accumulation of the components of metabolic syndrome. We used data for 3,185 Japanese, aged 20-79 years. Metabolic syndrome has recently been redefined by a new criterion in Japan, in which waist circumference cutoff points, i.e. 85 cm for men and 90 cm for women, are employed. Among the 3,185 Japanese considered in the present study, 335 men (26.8%) and 69 women (3.6%) were diagnosed as having metabolic syndrome. A cutoff point as a predictor for 2 or more components of metabolic syndrome was evaluated by sensitivity/specificity and a receiver operating characteristic (ROC) curve. The optimal point was estimated as being approximately 85 cm of waist circumference in men and 75 cm in women. We therefore recommend a cutoff value, 75 cm of waist circumference, for the criterion of metabolic syndrome in women

    Gene-Gene Interaction between APOA5 and USF1: Two Candidate Genes for the Metabolic Syndrome

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    Objective: The metabolic syndrome, a major cluster of risk factors for cardiovascular diseases, shows increasing prevalence worldwide. Several studies have established associations of both apolipoprotein A5 (APOA5) gene variants and upstream stimulatory factor 1 (USF1) gene variants with blood lipid levels and metabolic syndrome. USF1 is a transcription factor for APOA5. Methods: We investigated a possible interaction between these two genes on the risk for the metabolic syndrome, using data from the German population-based KORA survey 4 (1,622 men and women aged 55-74 years). Seven APOA5 single nucleotide polymorphisms (SNPs) were analyzed in combination with six USF1 SNPs, applying logistic regression in an additive model adjusting for age and sex and the definition for metabolic syndrome from the National Cholesterol Education Program's Adult Treatment Panel III (NCEP (AIII)) including medication. Results: The overall prevalence for metabolic syndrome was 41%. Two SNP combinations showed a nominal gene-gene interaction (p values 0.024 and 0.047). The effect of one SNP was modified by the other SNP, with a lower risk for the metabolic syndrome with odds ratios (ORs) between 0.33 (95% CI = 0.13-0.83) and 0.40 (95% CI = 0.15-1.12) when the other SNP was homozygous for the minor allele. Nevertheless, none of the associations remained significant after correction for multiple testing. Conclusion: Thus, there is an indication of an interaction between APOA5 and USF1 on the risk for metabolic syndrome

    Body mass index dependent metabolic syndrome in severe mental illness patients

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    The aim of this study was to evaluate the body mass index dependent metabolic syndrome in severe mental illness patients in Gorgan. A total of 267 severe mental illness patients took part in this study. The prevalence of metabolic syndrome in severe mental illness patients in different body mass index were 6.67, 24.09 and 53.06. There were significant differences in the mean of waist circumference, HDL-cholesterol, triglyceride and fasting blood glucose in subjects with metabolic syndrome in different body mass index when compared with subjects without metabolic syndrome (p<0.05). The prevalence of high fasting glucose, low high density lipoprotein-cholesterol, high triglyceride levels, high waist circumference and high blood pressure were 14.23, 38.57, 41.57, 32.96 and 5.24, respectively. It shows that high triglyceride levels (41.57) and Low HDL-cholesterol levels (38.57) were the most frequent characteristics in comparison to other metabolic components. Our results show that, 26.96, 31.08, 21.35, 15.35 and 5.25 of subjects had zero, one, two, three and four criteria for metabolic syndrome, respectively. These results show that the prevalence of metabolic syndrome in severe mental illness patients in Gorgan is increased with elevated body mass index. The results of this study suggest that mental illness patients are at risk of metabolic syndrome, when the rate of body mass index increases. Risk factors such as high triglyceride level and low HDL-cholesterol may play an important role in the occurrence of metabolic syndrome in severe mental illness patients. © 2015, Asian Network for Scientific Information. All rights reserved
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