Exam 2: Cohort Studies Flashcards

1
Q

What are observational studies?

A

Explanatory type studies in that the goal is to assess cause
Sometimes called “natural studies”, as they occur freely in nature
Feature controls and planned comparisons between groups

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2
Q

What is a cohort?

A

A group sharing a defining characteristic

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3
Q

Describe cohort studies

A

Prospective in time (from now to the future)
Feature 2 cohorts: one exposed to a factor and one not exposed to that factor
Subjects are followed in time and incidence of one or more disease are compared between the 2 cohorts

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4
Q

What is the primary measure used in cohort studies?

A

Simple cumulative incidence

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5
Q

How are 2x2 tables contructed?

A

We put the exposure in the left column
We put disease (the outcome) in the top row
The positives go together

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6
Q

What does a cohort study intend to do?

A

Observe outcomes following a defined exposure

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7
Q

What are we measuring in cohort studies?

A

Incidence of disease

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8
Q

What is the measure of association in cohort studies?

A

Relative risk, which is just the risk of disease in exposed/risk in unexposed

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9
Q

What does a relative risk greater than 1 indicate?

A

An increased risk in exposed compared to unexposed

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10
Q

What does a relative risk equal to 1 indicate?

A

The risk in exposed is the same as the unexposed

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11
Q

What does a relative risk less than 1 indicate?

A

That disease in exposed is less than in unexposed

Exposure has a “sparing effect” or a reduction in risk associated with exposure, such as exposure to vaccinations

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12
Q

What is relative risk?

A

Measure of the strength of association between a factor and a disease

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13
Q

When can relative risk be estimated?

A

Only in a cohort, cross-sectional, or experimental study

Cannot be estimated in a case-control study

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14
Q

What are cohort studies well suited for?

A

Studying disease and exposures that occur relatively commonly
Study the effect of multiple outcomes following a single exposure

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15
Q

Look over examples

A

Look over examples

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