Intro Flashcards

(28 cards)

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
Surveillance
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
Risk Factor Identification
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
Intervention Evaluation
What works? ex. Surgeon General issues a statement that eating fresh fruits and vegetables and exercising regularly helps prevent heart disease
28
Implementation
How do you do it?