Intro Flashcards

1
Q

What is epidemiology?

A

A quantitative science that looks at health from a population level to address public health goals and to understand cause and effect relationships between certain exposures and disease outcomes.

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2
Q

Epidemiology studies…

A

the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems.

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3
Q

Objectives of Epidemiology

A
  • To study the natural history of disease
  • To identify causes of disease
  • To determine the extent of disease
  • To evaluate measures that prevent and treat disease
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4
Q

Study Design: Descriptive

A
Describes only – does not examine relationships 
• Surveillance data
• Case reports
• Surveys
• Case series
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5
Q

Study Design: Analytic

A

Examines relationships / Test hypotheses
Experimental: Investigator assigns exposure Observational: No intervention – investigator observes
• Ecologic
• Cohort
• Cross Sectional
• Case Control

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6
Q

Possible Exposure/Disease relationships: Limited evidence of a relationship

A

Unworthy of study

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7
Q

Possible Exposure/Disease relationships: Good evidence of a relationship(more research warranted)

A

Worthy of Study

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8
Q

Possible Exposure/Disease relationships: Strong evidence of a relationship (accepted as causal)

A

Basis of public policy

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9
Q

Hills Causal Criteria

A
Temporal Relationship
Strength
Dose-Response Relationship Consistency 
Biological Plausibility Coherence 
Experiment 
Analogy 
Specificity
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10
Q

Temporal Relationship

A

Exposure comes before the disease

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11
Q

Strength

A

Magnitude of observed effect

ex. smoking increases risk of lung cancer 10X

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12
Q

Dose-Response Relationship

A

Not always observable

The more you smoke, the stronger the association

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13
Q

Consistency

A

Replication of findings / Is it being observed over and over again?

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14
Q

Biological Plausibility

A

Do we understand the mechanism? Does it seem possible that inhaling smoke into your lungs might cause lung cancer?

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15
Q

Experiment

A

Can we assign study participants to one exposure or another and then follow them for the outcome?

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16
Q

Analogy

A

Supported by similar research

If we see that smoking causes lung cancer, what about another exposure such as asbestos?

17
Q

Modified Determinism

A

Modified Determinism is a model that explores component, necessary and sufficient causes. It considers sets of exposures or characteristics that are sufficient to cause disease.

18
Q

Necessary Cause

A

found in all cases

19
Q

Component Cause

A

needed in some cases

20
Q

Sufficient Cause

A

the set of necessary and contributing causes that make disease inevitable

21
Q

Causal

A

The exposure is part of the causal pie leading to disease

22
Q

Chance

A

There is no association even though one was observed

23
Q

Reverse Causation

A

The disease causes the exposure

24
Q

Bias

A

Some aspect of the execution of our study or analytic approach results in us getting the wrong answer

25
Q

Surveillance

A

What is the problem?
Process begins when a health problem is recognized
For example, we might observe that there is suddenly a large increase in the number of case reports for a specific disease.

26
Q

Risk Factor Identification

A

What risk factors are associated with a given outcome?

ex. People who inject drugs are 22 times more likely to acquire HIV compared to those who don’t inject drugs

27
Q

Intervention Evaluation

A

What works?

ex. Surgeon General issues a statement that eating fresh fruits and vegetables and exercising regularly helps prevent heart disease

28
Q

Implementation

A

How do you do it?