Cohort Study Design Chapter 9 Flashcards

0
Q

Fill in the blank:

causal and preventative factors can be identified through_______of________ or subgroups of individuals in a population in______________

A

Systematic investigation

Different populations

Different places or times

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1
Q

What are the basic assumptions of epidemiology?

A

Human disease does not occur at random; it is deterministic.

If the variables related to the disease could be controlled, or were known, the outcome could be predicted

Causal and vented factors can be identified through systematic investigation of different populations or subgroups of individuals and populations in different places or times

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2
Q

Hierarchy of research evidence is a pyramid start at the bottom and explain the layers as it goes up

A

Ideas opinions

Case reports

K-series

Case-control studies

Cohort studies

Randomized controlled studies

Randomized controlled double-blind studies

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3
Q

What does analytical epidemiology study

A

Analytical epidemiology studies the determinants of health (disease)

Variables of interest: exposures (risk factors, protective factors, predictor) and outcomes (disease, event)

Formulate hypothesis-compare the experience of two or more groups of subjects with respect to exposure and I’ll come

Test hypothesis what groups you compare is the most important element of design

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4
Q

What does descriptive epidemiology study

A

Person, place and time

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5
Q

What is the most important element of study design for analytical epidemiology

A

What group you compare is the most Porten element of study design

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6
Q

Define Association

(Bolded probably will be on the exam)

A

The statistical dependence between two variables

The degree to which the rate of disease in persons with a specific exposure is either higher or lower than the rate of disease among those without that exposure

We have to make a judgment of whether a cause-effect relationship between exposure and disease exist

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7
Q

Explain why we assess the validity of association

A

Does the observed association really exist

Is the association valid

Are there alternative explanations for association? For example could it be explained by chance, bias, confounding

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8
Q

Hypothesis formulation

Explain the difference between the null hypothesis and the alternative hypothesis cite examples

A

No hypothesis-no association between exposure in disease

Alternative hypothesis-there is an association between exposure in disease beyond random error or chance

One sided association is greater than expected or association is less than expected (example H pylori infection is associated with an increased risk of stomach ulcers)

Two-sided there is an association between (example sarcoidosis is associated with the use of coal stove)

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9
Q

List the guidelines for developing a hypothesis

A

State the exposure to be measured as specifically as possible

State the health outcomes as specifically as possible

Strive to explain the smallest amount of ignorance

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10
Q

List study designs used by epidemiologist to evaluate hypothesis

A

Cohort studies- Prospective and retrospective

(randomized trial)

Case-control studies

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11
Q

List the steps in a cohort study

A

Select two groups of individuals: exposed and not expose

Follow them through time

Determine the incidence of disease in both groups

Compare rates among the exposed to rates in the non-expose

Interpret the data

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12
Q

When designing a 2 x 2 for a cohort study what should the titles be for the columns and the rows?

A

The columns from left to right disease develops, disease does not develop

The rose from top to bottom exposed, not exposed

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13
Q

In a 2 x 2 for a cohort study explain what is contained in each of the four boxes ABCD

A

A-number of individuals who are exposed and have the disease

B-number who are exposed and do not have the disease

C-number who are not exposed and have the disease

D -number who are both non-exposed and non-diseased

Incident rates of disease can be determined by the sum of the Rows (exposed VS not exposed)

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14
Q

In cohort studies the measure of association between exposure and disease is termed what?

What is the formula?

A

Relative risk is the ratio of the two rates

RR = incidents in the exposed/incidents in the non-exposed

(A/A+B)/ (C/C+D)

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15
Q

When interpreting relative risk as a measure of association and cohort studies what do the values mean

A

If R R = 1
Risk in the exposed equal to the risk in the non-exposed (no Association)

If RR > 1
Risk in the exposed is greater than the risk and then on exposed (positive association)

If RR < 1
Risk in the exposed is less than the risk in the non-exposed (negative association) protective effect

16
Q

How do you epidemiologist express relative risk?

A

Rate ratio

20.0/17.4 = 1.61

17
Q

How do you public health professionals express relative risk

A

People who consume alcohol or approximately 1.6 times more likely to develop coronary heart disease compared with people who do not drink alcohol

Or

The risk of coronary heart disease is 60% greater and people who drink alcohol compared with people who do not drink alcohol

18
Q

What is the formula for expressing relative risk (risk ratios) when the relative risk is > 1

A

(RR-1) X 100 = the percent increased change

Example:

If the relative risk is 1.60 then the ratio is 60 times more likely to develop the disease

19
Q

Explain how to express relative risk when <1

A

(1-RR) x 100 = decrease in change

Example:

Vigorous exercisers are 0.5 times less likely to have MI than people who don’t exercise

20
Q

List advantages to cohort studies

A

Multiple outcomes can be measured for anyone exposure

Can look at multiple exposures

Exposure is measured before the onset of disease; less potential for recall bias

Good for RARE EXPOSURES

Temporal relationship between exposure in disease

Allows examination of natural course of disease survival

21
Q

List the disadvantages to cohort studies

A

Costly and time-consuming

Needs a large sample size

Lost to follow-up (subject move, die, no longer interested) bias

Participants me move between one exposure category

Knowledge of exposure status made by his classification of the outcome

Being in the study may alter participants behavior

Poor choices for the study of RARE DISEASE

Classification of individuals(Exposure outcomes that is) can be affected by changes in diagnostic procedures