Abstract

The investigator is aimed to know the, socio-demographic factors, and to study the various risk factors associated with hypertension, and determine the prevalence of hypertension, among Kakathiya University Employees, at Warangal District, India. Also, aimed to address and educate about CNCD’s diseases ‘like hypertension in the community and its early identification, treatment and advice, appropriate preventive and primitive measures among the university employees. Methodology: A Cross sectional study was conducted among Kakathiya University Employees, at Warangal District, India, between June 2013 to April 2014. Where the investigator included employees 576 i.e. study population, after excluding the 259, of total employees i.e. 835A Pre structured & Pre tested questionnaire was used to assessthe factors associated with Hypertension, such as, sociodemographic factors (age, gender, education. occupation, marital status, type of family and size of family) and various other life style risk factors (obesity, smoking, alcohol, physical activity, diet, sleeping hours, mode of vehicle for transport, weekly working hours, and co-morbidity factors (family history, diabetes, CVD’s); Measuring the Height, Weight and BP (according to JNC&WG-ASH classification). The collected data was statistically analyzed by using EXCEL 2007 version & SPSS 16.0. Results: In the present study, the investigator found following results; among total study population 297 (51.6%), are hypertensives, among them 96 (16.7%) are hypertension grade 1, and 48.4% were normotensives. Among the hypertensives majority of the hypertension is observed with, following study groups; age group 51 to 60 134 (23.4%), male population are 220 (38.1%), Hindureligion 219(38%), post graduates 116(20.1%), fourth class employees 83(14.4%),married people 247 (42.9%), third generation type of family 118 (20.8%),family size> 6 persons/family 112 (19.4.%),obesity grade 1 people 126 (22.2%), non-smokers 215 (37.3%), alcoholics164 (28.4%),mixed diet consumer’s 269(46.7%),additional salt intakeuser’s 200(34.8%), sleeping hours <8hrs 29(50.5%), lack of physical activity239(41.4%),mode of vehicle for transport i.e. scooter users 139 (24.2%), employees with weekly working hours >48hrs 166(28.8%), people without family history 172(29.8%), history of diabetics 154(26.8%) and history of CVD’s 204(35.4%) respectively

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