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1.
Journal of Research in Health Sciences [JRHS]. 2014; 14 (4): 303-307
in English | IMEMR | ID: emr-154075

ABSTRACT

Lifestyle is recognized as a key factor as the cause and management of the metabolic syndrome. The aim of this study was to identify individuals at increased cardiovascular diseases risk and determine main features of lifestyle of participants with metabolic syndrome via internet. The study was conducted from Jun 22 to August 22, 2012 in Tehran, Iran. Recruitment was carried out through the study website. Participants with metabolic syndrome who were interested and met the study criteria were invited for free clinic visits and clinical assessments. Baseline measurements were metabolic syndrome risk factors. Physical activity and dietary intake were measured by international physical activity questionnaire [IPAQ- short form] and the frequency food questionnaire [FFQ] respectively. Metabolic syndrome was defined according to Adult Treatment Panel III diagnostic criteria. Mean [SD] age for men and women were 41.9 [10.4] and 48.1 [7.8] yr respectively. Men were well educated and more likely to participate in the study than women. Men with metabolic syndrome had larger waist circumference [105.5] and lower BMI [29.1] than women with metabolic syndrome [P<0.001]. Approximately 73% of the sample was inactive and 3% of participants had health enhancing physical activity. There were significant differences in the intakes of total fat and cholesterol between men and women [P<0.001]. Because of the high prevalence of metabolic syndrome, national lifestyle modification policies must be developed for population. Web-based healthy lifestyle programs may contribute to the reduction of the metabolic syndrome components


Subject(s)
Humans , Male , Female , Life Style , Risk Factors , Internet , Motor Activity , Eating , Diet
2.
Malaysian Journal of Nutrition ; : 283-289, 2014.
Article in English | WPRIM | ID: wpr-628519

ABSTRACT

Introduction: Associations between serum adiponectin concentrations and anthropometric and metabolic parameters in obesity and diabetes have been elucidated; however, the relationship between serum adiponectin and cardiovascular risks in patients with metabolic syndrome are less studied. Methods: One hundred and sixty patients with metabolic syndrome (107 men and 54 women) were recruited for this study. Anthropometric indices of weight, height, waist circumference and hip circumference were measured. Serum adiponectin, lipid profile and fasting blood glucose (FBG) were measured by enzyme- linked irnmunosorbent assay method (ELbA). The homeostasis model assessment (HOMA) was used for determination of insulin resistance. Results: BMI was significantly higher and waist-to-hip ratio (WHR) was lower in women compared to men (P < 0.001 and < 0.05 respectively). Serum high density lipoprotein cholesterol (HDL-C) in women was significantly higher than in men (45.98 ± 11.15 versus 39.11 ± 8.43 mg/dl; P < 0.001). Serum adiponectin concentrations were negatively associated with serum triglyceride concentration and waist cfrcumference in men and women respectively. There was also a positive relationship between serum adiponectin and HDL-C concentrations and age in men and women respectively (P < 0.05). Adjusting for the confounding effects of age and BMI using linear regression model, serum TG, LDL-C and WC were significant negative predictors of serum adiponectin concentrations (P < 0.05). Conclusion: Our findings showed that serum adiponectin concentration is related to anthropometric and metabolic parameters in patients with metabolic syndrome. Further studies are warranted to better clarify these associations and underlying mechanisms.

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