Diabetes Evaluative Survey Study

RESEARCH PROPOSAL

Introduction

What matters is the condition of the heart Marcus j.Borg

Human beings are supposed to move around and get involved in physical activity but modernization and urbanization has made them sedentary by working in offices and performing work that does not involve physical activity. Lack of time to perform physical exercises and to prepare fresh food has given rise to eating food which is either kept in fridges or fast food which is prepared on street harming health of human being and all these factors directly or indirectly bring about physiological changes giving rise to silent killer well known in modern medical world as coronary artery disease which is

et al (2014) to assess the prevalence of risk factors for coronary artery disease in government employees across India, the subject population included both males and females with in age group of 20 to 60 years and the findings of the study were 4.5% of the study population had a family history of premature coronary artery disease. The overall prevalence of diabetes was 16% (5.6% were diagnosed during the study and the remaining 10.4% already were on medication for diabetes mellitus), hypertension was present in 21% of subjects; prevalence of dyslipidemia was significantly high with 45.6%. Of subject having a high total cholesterol /high density lipoprotein ratio. Overall 78.6% study subject had two or more risk factors for coronary artery disease study concluded reporting that there is a high prevalence of risk factor for coronary artery disease in the Indian urban population. Therefore study suggested there was an immediate need to initiate measures to raise awareness of these factors so that individuals at risk for coronary artery disease can be managed from developing further

Descriptive statistics- descriptive statistics are used to describe the basic features of data and it provides simple summaries about the sample and the measures used in the study. Percentages, means central tendency (mean, median and mode) and means of dispersion (standard deviation, range, and mean deviation)

Descriptive statistics-Mean, standard deviation, frequency and percentage distribution will be calculated based on the obtained scores.

Inferential statistics- Inferential statistics help in drawing inferences from the data, e.g. finding the differences, relationship and association between two or more variables by the help of the parametric and non-parametric statistical tests(Z-test, t-test, ANOVA, chi-square test)

Chi-square tests-Non-parametric test is used to find out the association between two quantitative variables.

Chi –square tests to study the association between knowledge on coronary artery disease and selected demographic characteristics.

Paired t test –it is applied on paired data of independent observation made on same sample before and after the intervention.

Paired t test will be used to find the difference between the pretest and post test intervention