A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions. CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600 CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400 1. Compute the appropriate measure of association for those who were less than age 50. 2. Compute the appropriate measure of association for those who were older or equal to age 50. 3. Compute the crude measure of association?
A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions.
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|
|||
|
|
CVD |
No CVD |
Total |
|
Obese |
10 |
90 |
100 |
|
Not Obese |
35 |
465 |
500 |
|
Total |
45 |
555 |
600 |
|
|
|||
|
|
CVD |
No CVD |
Total |
|
Obese |
36 |
164 |
200 |
|
Not Obese |
25 |
175 |
200 |
|
Total |
61 |
339 |
400 |
1. Compute the appropriate measure of association for those who were less than age 50.
2. Compute the appropriate measure of association for those who were older or equal to age 50.
3. Compute the crude measure of association?
4. List three attributes that age must satisfy before it could be considered a potential confounder.
5. Is there any evidence of confounding, effect modification, or both? Please explain.
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