Prevalence Of Metabolic Syndrome And White Blood Cell Count, Red Blood Cell Distribution Width Associated With Its Components Among Steel Industry Employee In Guangzhou City

ObjectiveTo assess the prevalence of metabolic syndrome(MS) among steel industry employee in Guangzhou city. The associated risk factors of metabolic syndrome were also assessed. Moreover, to examine the association between white blood cell count (WBCC) or red blood cell distribution width (RDW) and metabolic syndrome (MS).MethodA cross-sectional study method was used and 4,241 subjects ranged aged from 20-60 years were enrolled. Metabolic syndrome was diagnosed with criterion by International Diabetes Federation (IDF) 2005 definition. All statistical analyses were conducted using the SPSS 13.0 software. Data of socioeconomic characteristics, MS components, lipid profile, and lifestyle parameters were presented for subjects with and without the syndrome. Student t test was used to compare the mean difference.Χ2 test was used to compare the frequency difference. The prevalence of MS and its components was calculated and adjusted by using the data of the fifth National Census in 2000. Available data were analyzed by mono-factorial and multi-factorial logistic regression methods for the risk factors of metabolic syndrome. Analysis of covariance was used for comparing the adjusted means of WBCCor RDW between MS/MS components and non-MS/non-MS components. The odds ratios for having the MS with increasing tertile levels of WBCC and elevated RDW were calculated using logistic regression. Subjects were also grouped by the number of the MS components and we compared the adjusted WBCC means and RDW across the number of components.Results1. The prevalence of metabolic syndrome (MS) among steel industry employee in Guangzhou city1.1 The prevalence of metabolic syndrome (MS) and its componentsThe crude prevalence of MS in the subjects was 9.70% (man9.80%, woman9.40%) ,and the adjusted prevalence was 7.95% ( man8.87%, woman6.97%); the adjusted prevalence of central obesity, hypertriglyceridemia, lower HDL-CH, high blood pressure and high FPG/diabetes were 15.84%, 27.04%, 20.46%, 17.19%, 8.29% . Except in MS, prevalence of hypertriglyceridemia,high blood pressure and high FPG/diabetes was higher in man,in contrary to central obesity and lower HDL-CH were more comment in woman. The prevalence of central obesity, hypertriglyceridemia, lower HDL-CH, high blood pressure and high FPG/diabetes significantly increased with age for both sexes. Prevalence of all MS components unanimously increasedwith increasing BMI status1.2 The prevalent component of MSHigh blood pressure was the most prevalent component of MS (92.7%), followed by elevated TG (85.2%) and low HDL-CH (34.2%).1.3 displays the distribution of MS component scoreAbout 55.7% of this community had one or more of the metabolic components. Presence of 1 MS component was higher in woman than man.2. The associated risk factors of metabolic syndrome9 factors related to exposure were identified for MS by the mono-factorial. multivariate logistic regression analyses suggested that age (OR=1.717), physical inactivity (OR=4.085), alcohol drinking (OR=1.361), high- waist-hip ratio (OR=1.853), hypertension family history (OR = 1.342), hyperuricemia (OR = 1.717), smoking(OR=4.454)and BMI (OR=2.211) could significantly increase the risk of disease development.3. Association between white blood cell count (WBCC) and metabolic syndrome3.1 Basic characteristics among steel industry employee in Guangzhou city by tertiles of white blood cell count (WBCC)Man with higher WBCC had higher age, waist Circumference, body weight, systolic pressure, diastolic pressure, BMI, TC, TG, LDL-CH, UA, lower HDL- CH, and a higher prevalence of physical inactivity, hypertension, diabete, high temperature. higher WBC count associated with BMI, TG, HDL-CH, UA, waist Circumference, body weight and lower HDL- CH in woman. it was not associated with fasting glucose concentration in both sexes.3.2 WBCC mean and adjusted odds ratios of tertiles of WBCC by the MS and componentsIn man, adjusted WBCC was significantly higher in those with MS or its components compared with those without MS or components, except for those with raised fasting glucose. Odds ratios of MS increased significantly with higher WBCC in men. Adjustment for potential confounders did not change the associations. This association wasn't shown in woman.3.3 WBCC by the number of metabolic syndrome (MS) componentsThe adjusted means of WBCC increased with greater number of the MS components both in men and women. After adjusting for age, smoking, drinking, education and physical activity, compared with those without components of MS, those with more components of MS had higher odds ratios for WBCC both in men and women.4. Association between red blood cell distribution width and metabolic syndrome4.1 Basic characteristics among steel industry employee in Guangzhou city by tertiles of RDWMan with higher RDW had higher age, TC, TG, LDL-CH, TP, HB, MCV, lower HDL-CH and a higher prevalence of hypertension, diabete, high temperature. Higher RDW associated with higher TC, HB, MCV and a higher prevalence of hypertension in woman. 4.2 RDW mean and adjusted odds ratios of tertiles of RDW by the MS and components Adjusted RDW was significantly higher in those with MS or its components compared with those without MS or components, except for those with raised fasting glucose in woman. The adjusted odds ratios for elevated RDW levels between those with and those without the MS or its component were significantly higher in those with the components.4.3 RDW by the number of metabolic syndrome (MS) componentsThe adjusted means of RDW increased with greater number of the MS components both in men and women. After adjusting for age, smoking, drinking, education and physical activity, compared with those without components of MS, those with more components of MS had higher odds ratios for RDW both in men and women.Conclusion:1. The prevalence of MS was 7.95% and clustering of MS components was common. Age, physical inactivity, alcohol drinking, high- waist-hip ratio, hypertension family history, hyperuricemia, smoking and BMI were risk factors of metabolic syndrome.2. Our study show strong relationships between WBCC and the MS, MS components in men.Our study also show strong relationships between RDW and the MS, MS components and associated vascular risk factors both in Chinese men and women.