Epidemiology Flashcards
Epidemiology is a public health-discipline basic science which studies the ______________ and ___________ of disease in populations to control disease and illness and promote health.
Distribution
Determinants
Who is considered the father of epidemiology?
John Snow
_____________ refers to existing cases of disease + New cases of disease
Prevalence
___________ refers only to new cases of disease
Incidence
T/F: Both incidence and prevalence are proportions and factor in the “at risk” or “base” population in the denominator
True
How is incidence calculated?
Number of new cases of illness / Number of people at risk of illness (or in pop)
***Remember to subtract out from starting population those who already have disease or are immune to the disease
Risk and attack rate are alternative terms for what?
Incidence
How is prevalence calculated?
Number of existing cases of a disease / Number of persons in population
In terms of measures of association, how is an absolute difference calculated?
Subtracting frequencies
In terms of measures of association, how are relative differences calculated?
Division (ratio) of frequencies
Of absolute differences and relative differences, which will always be smaller?
Absolute differences
____________ is the probability of an outcome in an individual group (i.e. Exposed or non-exposed)
Risk
In terms of measures of association, how is an absolute risk reduction (ARR) determined?
ARR is the risk difference of the outcome attributable to exposure difference between groups
So subtract the risk percentages and take absolute value
In terms of measures of association, how is relative risk reduction (RRR) determined?
ARR/R(unexposed)
How would you calculate NNT?
1/ARR
How is the risk ratio (RR) calculated?
Risk of outcome (in exposed) / Risk of outcome (in non-exposed)
All ratios have the property that if ratio is 1.0, then the event/outcome is equally likely for both groups. If the ratio is >1.0, then the event/outcome is ________ likely to occur in the comparison group (numerator). If the ratio is >1.0, then the event/outcome is ________ likely to occur in the comparison group (numerator).
More
Less
What are the 3 important components of interpreting ratios (RR/OR/HR)?
Group comparison orientation
Direction of relationship
Magnitude
What does it mean if both values of an RR/OR/HR are on the same side of 1.0?
It is always statistically significant!
Of 4,645 patients randomized to take Ramipril and 4,652 randomized to take a placebo, 651 in the Ramipril group and 826 in the placebo group had the combined endpoint of MI. What is the risk of the combinded outcome in the Ramipril group (exposed)?
A. 9.5% B. 14.0% C. 17.8% D. 25.6% E. 33.2%
B. 14%
Of 4,645 patients randomized to take Ramipril and 4,652 randomized to take a placebo, 651 in the Ramipril group and 826 in the placebo group had the combined endpoint of MI. What is the risk of the combined outcome in the placebo group (unexposed)?
A. 9.5% B. 14.0% C. 17.8% D. 25.6% E. 33.2%
C. 17.8%
Of 4,645 patients randomized to take Ramipril and 4,652 randomized to take a placebo, 651 in the Ramipril group and 826 in the placebo group had the combined endpoint of MI. What is the relative risk of the combined outcome between the 2 groups?
A. 0.78 B. 0.95 C. 1.27 D. 1.96 E. 2.23
A. 0.78
Of 4,645 patients randomized to take Ramipril and 4,652 randomized to take a placebo, 651 in the Ramipril group and 826 in the placebo group had the combined endpoint of MI. (RR, 0.78; 95% CI 0.70-0.86; p<0.001). Which is an appropriate interpretation of the ratio of risks between the two groups?
A. The placebo group had a 22% reduced risk of the combined outcome
B. The ramipril group had a 42% greater risk of the combined outcome
C. The placebo group had a 37% greater risk of the combined outcome
D. The ramipril group had a 22% reduced risk of the combined outcome
E. The placebo group had a 1.27x lower risk of the combined outcome
D. The ramipril group had a 22% reduced risk of the combined outcome
A hypthetical retrospective cohort study was conducted in 100 subjects living in a small Ethiopian village. The study evaluated the frequency of developing intestinal infectious disease associated with exposure to contaminated pond water. The study determined the risk ratio (RR) to be 2.54. Which of the following is the most appropriate interpretation of this finding?
A. Compared to subjects not exposed to the pond water, subjects exposed to the contaminated pond water were 2.54x more likely to develop intestinal disease
B. Compared to subjects not exposed to the pond water, subjects exposed to contaminated water were 54% more likely to develop intestinal disease
C. Compared to subjects exposed to contaminated pond water, subjects not exposed to pond water were 62.5% less likely to develop intestinal disease
D. Compared to subjects exposed to contaminated pond water, subjucts not exposed were 2.54x more likely to develop intestinal disease
E. Compared to subjects not exposed to pond water, subjects exposed to contaminated pond water were 200% more likely to develop intestinal disease
A. Compared to subjects not exposed to the pond water, subjects exposed to the contaminated pond water were 2.54x more likely to develop intestinal disease
________ is a measure of association indicating the frequency of an outcome occurring vs. NOT occurring. This value is a ratio
Odds
[A/C or B/D]
How is an odds ratio (OR) calculated?
Odds of exposure (in diseased) / Odds of exposure (in non-diseased)
This is the one where you can cross multiply!
Researchers randomly selected 100 pts with newly diagnosed oropharyngeal cancer and 200 pts without cancer. Of the cancer pts, 63 were negative and 37 were positive for any oral HPV infection. Of the controls, 189 were negative and 11 were positive for any oral HPV infection. What is the odds of HPV infection in those with oropharyngeal cancer?
A. 37/63 B. 63/189 C. 189/11 D. 36/37 E. 37/100
A. 37/63
A _____________ is a 3rd variable that distorts an association (RR/OR/HR) between the exposure and the outcome; aka it makes the groups not exchangeable in terms of their associations.
Confounder
How do you test for confounding?
Compare the crude vs. adjusted measures of association between exposure and outcome. These values will be different by 15% if confounding IS present
If your crude value is calculated to be 2.0 and your adjusted value is calculated to be 1.5, is confounding present?
YES, 2.0-1.5/2.0 = 25%, since this is greater than 15% there IS confounding present
How is the crude association calculated?
Simply between exposure and outcome:
A/A+B) / (C/C+D