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Cross-Sectional Demographic Study Sample

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Introduction The purpose of this study is to learn how to access and analyze cross-sectional descriptive epidemiology data, create 2 by 2 table for six exposures, compute odds ratio and 95% CI, interpret the findings, and write a report. In 2014, nearly 29.1 million people of all ages in the United States have diabetes, 21 million people have been diagnosed and 8.1 million people are undiagnosed. Men have the higher rate with 13.6 percent and11.2 percent for women. Americans Indians/ Alaska natives have the highest rate with 15.9 percent follow by Africans Americans, Hispanics (12.8%), Asian Americans (9%), and whites (7.6%). Diabetes led to many health complication, such as high blood cholesterol, kidney disease, heart disease, blindness and eyes problem, and imputations. In 2010 more than 234,051 people died of diabetes (1). The increase of body mass index, smoking, hypertension and low physical activity have serious consequences on the health. The prevalence of obesity was …show more content…
The data of this study came from 2015 Behavioral Risk Factor Surveillance System Survey (BRFSS). The sample size of the study is 441,456 people. The exposures for the exposures were gender, age group, body mass index, hypertension awareness, tobacco use, and physical activity level. The outcome of the study was type two diabetes. Data was obtained by using CDC Web enabled Analysis Tool (WEAT). The odds ratio and 95% CI for each exposure and type two diabetes are respectively as follow: Gender-( OR= 1.1, 95% CI = 1.081, 1.12), Hypertension- (OR= 5.555, 95% CI = 5.445, 5.668), Tobacco use- (OR= 0.9036, 95% CI = 0.8803, 0.9275), BMI- (OR (obese) = 2.179, 95% CI = 2.118, 2.241), (OR (overweight) = 5.01, 95% CI = 4.88, 5.15), Physical activity- (OR (1-149 min) = 0.5618, 95% CI = 0.5466, 0.5774), (OR (150 + min) = 0.4965, 95% CI = 0.4863, 0.5068), (Age group- (OR (25-44) =3.955, 95% CI = 3.455, 4.527), (OR (45-64) = 157.3, 95% CI = 138, 179.3), (OR (65+) = 264.6, 95% CI = 232.2,

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