summary and interpretation of data
- 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) |
* 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 |
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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