The topic I chose is “Cardiovascular diseases, metabolic syndrome and health behaviors of postmenopausal women working in agriculture”. The aim of this study was “to examine the impact of the onset of cardiovascular disease and metabolic syndrome on the frequency of health behaviors among postmenopausal women working in agriculture.” Metabolic syndrome (MS) is a disorder caused by the increased occurrence of obesity in an individual. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay In this study, a total number of 810 postmenopausal women, aged 46 to 70 years, were examined. Researchers began assessing the individual at least 12 months after their last menstrual period. There were exclusion factors for this study, namely whether individuals took drugs, excess alcohol, or any illness with symptoms related to dementia. With a larger group of individuals participating in the study, the results obtained should be significant. Using the age range should allow researchers to understand metabolic syndrome and how it may play an important role in an individual's cardiovascular health. The study method involved obtaining medical information about the individuals and their medical history. The medical examination of the individuals focused on the presence and treatment of cardiovascular diseases (CVD), diabetes, dyslipidemia as well as the age and date of their last menstrual cycle. This information provided a detailed medical history of the individuals allowing certain participants to be excluded. Individuals also participated in comparison tests in which the inventory of health behaviors among individuals with and without cardiovascular disease and metabolic syndrome. Women were divided into four groups based on the presence of CVD and MS: both MS and CVDS, only CVDS, only MS, and neither CVD nor MS. Factors such as blood pressure, blood sugar and waist circumference were all measured. The association of metabolic syndrome is based on the definition provided by the International Diabetes Federations in 2005. The federations list five factors in which three factors must be met for an individual to be diagnosed with metabolic syndrome. The guidelines set for the diagnosis give a baseline of what the researcher should be wary of when analyzing the results, thus making them specific to the diagnosis. Using already defined factors makes it easier to find results and ensures that the results are reliable and specific to the study. To analyze the results, a statistical analysis approach was used, 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 analysis of variance F test to compare the data from the four groups of women examined. Data with multiple points of comparison were performed using the least significant difference test. For the data to be considered statistically significant, the P value was set at p. The statistical approach to answering this question posed by the 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 results and provides an indication of what might.