A large medical center’s oncology program reported an increased number of cases of pancreatic cancer during a certain month. The hospital’s epidemiologist decided to research the problem. Tumor registry records were searched to identify all cases of pancreatic cancer during a five-year period; cancer patients were matched with patients treated for other diseases during the same five-year period. All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows: DATA Cancer Patients Men Women Men Other Patients LIFESTYLE VARIABLE Alcohol Tea Drinking Coffee Drinking Note: 185 120 140 110 190 140 Total number of male cancer patients = 200. Total number of female cancer patients = 150. Total number of male patients (other diseases) = 300. Total number of female patients (other diseases) = 300. 4. What type of study is this? A. Experimental B. Case-control C. Intervention D. Clinical trial E. Cohort 270 260 230 225 270 240 5. Does this study have an exposure status variable? A. No B. Yes, lifestyle C. Yes, disease type D. Yes, sex of patient E. Insufficient information to answer this question Women
A large medical center’s oncology program reported an increased number of cases of
pancreatic cancer during a certain month. The hospital’s epidemiologist decided to research the problem. Tumor registry records were searched to identify all cases of pancreatic cancer during a five-year period; cancer patients were matched with patients treated for other diseases during the same five-year period. All subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data are as follows:
DATA Cancer Patients
Men Women Men
Other Patients
LIFESTYLE VARIABLE Alcohol
Tea Drinking Coffee Drinking
Note:
185 120 140 110 190 140
Total number of male cancer patients = 200.
Total number of female cancer patients = 150.
Total number of male patients (other diseases) = 300. Total number of female patients (other diseases) = 300.
4. What type of study is this?
A. Experimental
B. Case-control
C. Intervention
D. Clinical trial
E. Cohort
270 260 230 225 270 240
5. Does this study have an exposure status variable?
A. No
B. Yes, lifestyle
C. Yes, disease type
D. Yes, sex of patient
E. Insufficient information to answer this question
Women
6. Does this study have a disease status variable?
A. No
B. Yes, lifestyle
C. Yes, cancer
D. Yes, sex of patient
E. Insufficient information to answer the question
Which number best approximates risk associated with alcohol Drinking? 7. Men
A. 2.11
B. 0.92
C. 0.71
D. 0.62
E. 1.37
8. Women
A. 0.21
B. 1.37
C. 2.11
D. 0.62
E. 0.92
Tea Drinking?
9. Men
A. 3.50
B. 1.37
C. 0.71
D. 2.51
E. 0.92
10. Women
A. 0.92
B. 1.37 C. 3.50
D.0.71 E. 3.50
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