The topic I have chosen is “Cardiovascular diseases, metabolic syndrome and health behaviors of postmenopausal women working in agriculture”. The purpose of this study was “to examine the impact of the onset of cardiovascular disease and metabolic syndrome on the frequency of health behaviors in postmenopausal women working in agriculture.” Metabolic syndrome (MS) is a disorder caused by increased obesity in an individual. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essayA total number of 810 postmenopausal women, aged between 46 and 70, were examined in this study. The researchers began assessing the individual at least 12 months after her last menstrual period. There were exclusionary factors for this study involving drug intake, excess alcohol, or any illness with dementia-related symptoms. With a larger group of individuals taking part in the study, the results obtained should be significant. Using the age range should provide researchers with an understanding of metabolic syndrome and how it may play an important role in an individual's cardiovascular health. The method of the study was to obtain medical information about individuals and medical history. Medical examination of the subjects was performed to verify the presence and treatment of cardiovascular disease (CVD), diabetes, dyslipidemia, and the age and date of their last menstrual cycle. This information provided a detailed medical history of the individuals allowing some participants to be excluded. Individuals also took part in comparative trials in which health behavior inventory was taken between individuals with and without cardiovascular disease and metabolic syndrome. The women were divided into four groups based on the presence of CVD and MS: both MS and CVDS, CVDS only, MS only, and neither CVD nor MS. Factors such as blood pressure, blood sugar and waist circumference were all measured. The metabolic syndrome association was based on the definition provided by the International Diabetes Federations in 2005. The federations list five factors where three factors must be met for an individual to be diagnosed with metabolic syndrome. The established guidelines for diagnosis provide a baseline of what the researcher should pay attention to when analyzing the results, thus making them specific to the diagnosis. Using pre-set factors helps in finding the results and ensures that the results are reliable and specific to the study. A statistical analysis approach was used to analyze the results, using SPSS. The mean of the data (M) with the standard deviation (SD) for the continuous variable and the absolute (n) and relative (%) numbers of occurrence of the variables. The researcher used the X2 test to compare the variables and the F analysis of variance test to compare the data of the four groups of women examined. Data with numerous comparisons were conducted using the least significant difference test. For the data to be considered statistically significant, the P value was set at p. The statistical approach in answering this question posed by researchers as part of this study is an appropriate method for interpreting the results obtained. Identifying the population mean gives an indication of the overall projection of the results and provides an indication of what the possible results might be with other analysis techniques. The standard deviation provides the.