Statistical Analysis Of Blood Glucose Levels - 1322 Words

Statistical analysis Based on RPAQ and grouping of residents, a comparison of blood glucose levels in each group would be conducted, via ANOVA. An age based grouping of the residents would be categorized as young (18-25 years), middle age (25-45 years) late middle age (45-64 years). Their physical activity and blood sugar levels would also be compared. Data collected will be presented as mean values and standard deviations. Descriptive statistics and frequency of daily PA will be calculated for both percentage and absolute values. An independent t-test will be used to examine differences in METs, based on sedentary time, Light PA, Moderate PA, and vigorous PA. Binary logistic regression analysis should be used to identify a significant impact of PA patterns on the blood glucose levels. Multiple linear regression analysis will be used to compute the model of significant independent variables of PA patterns, on the blood glucose levels. A general linear model (univariate ANOVA) should be used to assess t he interaction between LPA and M VPA and its association with diabetes. A ÃŽ ±-level of 0.05 has to be chosen to determine the statistical significance. As for a cross-sectional study, the most appropriate measure of association that can be used is the prevalence rate ratio (PRR). PRR allows us to compare the prevalence of disease among exposed and the prevalence of disease among unexposed. If PRR or RR is greater than 1(RR1) this indicates a positive association between theShow MoreRelatedCorrelation Between Acute Dysglycemia And Death Essay1043 Words   |  5 PagesThe study Serum Glucose Levels for Predicting Death in Patients Admitted to Hospital for Community Acquired Pneumonia: Prospective Cohort Study was published by the British Medical Journal (The BMJ) in the journal volume 344, number E3397, on May 29th of 2012. The study was conducted by consultant physician Philipp M. 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