IJSR International Journal of Scientific Research 2277 - 8179 Indian Society for Health and Advanced Research ijsr-8-2-18100 Original Research Paper Prevalence and distribution of metabolic syndrome with respect to sex and age in Kashmiri population. Ahmad Naikoo Dr. February 2019 8 2 01 02 ABSTRACT

Background: Metabolic syndrome (MS) is a vast array of physical conditions and metabolic abnormalities that are found to be linked with increased progression of type 2 diabetes mellitus, cardiovascular disorders and other medical conditions. Metabolic syndrome is considered to be one of the most common issues that is related to public health. These health disorders lead to premature death and disabilities and raise a major burden on economy in both developed and developing countries.

Aims and Objectives: The present study was designed to see the prevalence and distribution of metabolic syndrome in different age and sex groups.

Materials and methods: A total of 230 patients with metabolic syndrome were selected for the study. These included 130 females and 100 male patients with different age groups. The classification of patients as MS was done according to NCEP ATP IIICriteria.

Results: Out of 230 study participants, 82 were MS cases and the prevalence was 35.6 %( 82/230). Among 82 cases of MS 48 were females (48/82 = 58.3 %) versus 34 males (34/82 = 41.1 %). On the other hand the prevalence of male patients with MS was 34 % (34/100) while as in females it was observed to be 36.9 % (48/130). During the study it was found that the prevalence of MS was common in females than males. Further as 82 cases of MS were found, maximum number of which were reported in the age groups of  40–49 years ( 35/82 = 42.6 %) followed by 50–59 years (19/82 = 23.1 %), while as  in other age groups the prevalence was 18.2 % (30–39 years ) and 8.53 % in  cases above 60 years  of age.  Least number of MS cases were reported in age group below < 30 years with prevalence rate of 7.31 % respectively.

Conclusion: This study has tried to create awareness and generate enough data to find out associated risk factors and prevalence rate of MS in adult population. It is also important to improve the current health intervention programs.