# Summary and interpretation of data

Help me study for my Statistics class. I’m stuck and don’t understand.

• Describe the study sample.
• Compare risk factors in men and women.
• What characteristics are associated with BMI?
• Who is most likely to have prevalent coronary heart disease?
• Describe the Data collection Methods used in the study
• Please Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words.

1. 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 49.93 (8.68) Male sex 1944 (43.84) Systolic blood pressure, mmHg 132.91 (22.42) Diastolic blood pressure, mmHg 83.08 (12.06) Use of anti-hypertensive medication 144 (3.29) Current smoker 1944 (43.84) Total serum cholesterol, mg/dL 236.98 (44.65) Body mass index 25.85 (4.10) Diabetes 121 (2.73)

* Mean (Standard deviation) or n (%)

2. Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences.

 Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.79 (8.72) 50.03 (8.64) Systolic blood pressure, mmHg 131.74 (19.44) 133.82 (24.46) Diastolic blood pressure, mmHg 83.71 (11.44) 82.60 (12.50) Use of anti-hypertensive medication 42 (2.19) 102 (4.16) Current smoker 1175 (60.44) 1006 (40.40) Total serum cholesterol, mg/dL 233.58 (42.36) 239.68 (46.22) Body mass index 26.17 (3.41) 25.60 (4.56) Diabetes 59 (3.04) 62 (2.49)
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* Mean (Standard deviation) or n (%)

3.Use simple and multivariable linear regression analysis to complete the following table relating the characteristics listed to BMI as a continuous variable. Before conducting the 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/m2

 Characteristic Regression Coefficient Crude Models p-value Regression Coefficient Multivariable Model p-value Age, years 0.0627 <0.001 -0.02155 0.004 Male sex -0.580 <0.001 -0.9884 <0.001 Systolic blood pressure, mmHg 0.0603 <0.001 0.05716 <0.001 Total serum cholesterol, mg/dL 0.0113 <0.001 0.00638 <0.001 Current smoker -1.4017 <0.001 -1.2818 <0.001 Diabetes 2.2918 <0.001 1.2355 0.001

4. Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Be sure to indicate what statistical tests were used in the footnote to the table and in a brief summary of a paragraph or less.

 Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) <0.001 Systolic blood pressure, mmHg 144.99 (27.03 132.35 (22.03) <0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) <0.001 Total serum cholesterol, mg/dL 243.19 (45.61) 236.69 (44.6) 0.0486 Body mass index 26.83 (4.45) 25.80 (4.08) <0.001

* Mean (Standard deviation). P-values are based on two independent samples t tests.

5. Describe the Data collection Methods used in the study

6. Please Provide a Summary of the data analysis as a whole . Summary should include pertinent information of all the questions above. This summary should not exceed 300 words.

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All the Best,

Cathy, CS