Analytic approaches and coding for solutions are detailed in the Excel file 1. Describe the study sample. Complete the following table to describe the study sample using data collected at the first examination for each participant ( n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Total Sample ( n = 4434)% Age, years 50(8.7) Male sex 1944(43.8%) Systolic blood pressure, mmHg 133(22.4) Diastolic blood pressure, mmHg 83(12.1) Use of anti-hypertensive medication 144(3.3%) Current smoker 2181(49.2%) Total serum cholesterol, mg/dL 237(44.7) Body mass index 26(4.1) Diabetes 121(2.7%) * Mean (Standard deviation) or n (%) The mean age of the participants is 50 years old. The standard deviation of age is 8.7. Approximately 43.8 % of the participants is male. Systolic blood pressure is 133 and has a standard deviation of 22.4. Diastolic blood pressure has a mean of 83 and a standard deviation 12.1. Approximately 3.3 percent of the participants use anti-hypertensive medications. 49.2 percent of the participants are current smokers. The mean of total serum cholesterol is 237 with a standard deviation of 44.7. The mean of BMI is 26 and has a standard deviation of 4.1.
2. What characteristics are associated with BMI? Use simple and multivariable linear regression analysis to complete the following table analysis, be sure that all participants have complete data on all analysis variables. If participants are excluded due to missing data, the numbers excluded should be reported. Then, describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences? Outcome Variable: BMI, kg/m 2 Characteristic Regression Coefficient Crude Models p -value Regression Coefficient Multivariable Model p -value Age, years 0.060 P<0.00 1 -0.022 0.004 Male sex 0.579 P<0.00 1 0.988 P<0.001 Systolic blood pressure, mmHg 0.060 P<0.00 1 0.0573 P<0.001 Total serum cholesterol, mg/dL 0.011 P<0.00 1 0.006 P<0.001 Current smoker -1.401 P<0.00 1 -1.282 P<0.001 Diabetes 2.292 P<0.00 1 1.235 P<0.001
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- Fall '10
- Statistics, CHD