They were free to participate and gave written consent according to Helsinki declaration. Descriptive strategies were calculated for each variable. All continuous variables were expressed as a mean with standard deviation; median, selleck chemicals Imatinib intraquartile range, frequency, and percentage were obtained for categorized variables. Univariables, multivariables, binary logistics, and regression analysis were used to identify factors significantly associated with MetS and NMetS classified based on NCEP-ATP III criteria. All analyses were performed using the GraphPad Prism version 5. RESULTS There were 275 patients who attended the diabetic OP clinic from January 2011 to June 2011. However, only 75 (27.2%) patients were eligible for the study. Based on the inclusion and exclusion criteria, diabetic patients had complete data and comprised the study population.

Mean duration of diabetes was 6.52 years in MetS and 4.8 years in NMetS. The relative proportion of alcoholic patients with MetS was 41.81%, while 50% of patients were non-alcoholic with NMetS. Current smokers (20.8%) and past smokers (18.18%) with MetS were equally distributed. However, illiterate patients (41.8%) had higher incidence of MetS and reduced incidence (20%) of NMetS. The data are summarized in Table 1. Table 1 Prevalence (%) of the metabolic syndrome versus non-metabolic syndrome in Warangal adults according to socio-demographic details Table 2 presents prevalence of MetS and NMetS according to NCEP-ATP III guidelines. Sedentary lifestyle is more prone to MetS (64.18%) compared to NMetS (55%). Women’s sedentary lifestyle (91.

66%) resulted in higher incidence of MetS. Patients with high prevalence of MetS compared to those with NMetS were higher (34.88%) in 51-60 years age group, followed by 25.59% in 61-70 years age group [Table 3]. An individual component of the MetS and NMetS in gender and living area was also measured. Interestingly, urban people had higher incidence of developing MetS compared to rural people. Low HDL levels were consistently observed in rural and urban population (95.65% and 90.625%, respectively), followed by increase in waist circumference in rural and urban population (65.62% and 73.19%, respectively). Table 2 Prevalence of metabolic and non-metabolic syndrome according to NCEP-ATP III guidelines Table 3 Prevalence of metabolic and non-metabolic syndrome in patients aged ��18 years by gender, age, and group Table 4 presents the physical characteristics of South Indian participants (Warangal adults) with type 2 diabetes.

Interestingly, Drug_discovery high incidence of MetS was observed in normal weight patients (43.56%) compared to obese (10.9%), overweight (40%), and underweight (5.45%) patients. Table 4 Physical characteristics of South Indian participants in the Warangal adults of type 2 diabetic patients Table 5 shows the gender wise Mean �� SD of the MeS versus NMetS patients .