Lecture 2 Flashcards

1
Q

The study of the distribution of disease and determinants of disease frequency in populations

A

Epidemiology

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2
Q

The study of “causes” of disease

A

Epidemiology

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3
Q

To control health problems and improve health at the population level

A

Goal of epidemiology

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4
Q

“Counting” the causes of morbidity and mortality.

A

Operationally

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5
Q

Determining variables associated with causes of morbidity and mortality

A

Operationally

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6
Q
  • Identifying factors that are “causes” and are potentially modifiable.
  • Guiding (and evaluating) interventions to improve public health.
A

Operationally

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7
Q

Do death. disease and disability occur at random?

A

No

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8
Q

Can be identified through the systematic investigation of human populations

A

Causal factors

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9
Q

What can lead to preventive intervention?

A

Identifying causal factors

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10
Q

Good or bad: Chemical, biological, physical, psychological, educational, etc

A

Exposure

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11
Q

Good or bad: disease, cure, improved attitude, longer life, better QOL (quality of life), etc.

A

Outcome

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12
Q

The usual occurrence of a disease in a given population

A

Endemic

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13
Q

A meaningful increase in the occurrence of a disease in a given population.

A

Epidemic

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14
Q

Spread of a disease across a large region or worldwide.

A

Pandemic

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15
Q

exposure of Interest

A

Independent variable

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16
Q

Outcome of interest

A

Dependent variable

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17
Q

Epidemiology is fundamentally concerned with

A

Populations

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18
Q

An identifiable relation between an exposure and a disease

A

Association

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19
Q

Xerostomia is _____ with higher caries incidence.

A

Associated

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20
Q

Incidence rate of oral and pharyngeal cancer is higher among smokers than among nonsmokers

A

Association example

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21
Q

How do we look for a cause?

A

Methodological question

22
Q

What is a cause?

A

Ontological questions

23
Q

How do we decide if there is enough evidence to act on a cause?

A

Ethical question

24
Q

An event, condition, or characteristic that preceded the disease and without which the disease would not have occurred at all or would not have occurred until some later time.

25
- Strength of the association. - Dose-response relationship. - Temporal sequence. - Biologic credibility. - Consistency of findings across studies
Criteria for assessing causality
26
Is there a strong E – D relationship? | Smoking & lung cancer
Strength of association
27
Does risk increase with increased exposure?
Dose-Response Relationship
28
Does the exposure precede the disease?
Temporal sequence
29
Is there a known biologic basis for the relationship? | e.g., tobacco and lung cancer
Biologic credibility
30
What does biologic credibility depend on?
Current state of knowledge
31
Do multiple studies report similar findings regarding the E – D relationship? (e.g., tobacco and lung cancer)
Consistency of findings
32
What can studies differ by?
- Investigator - Methodology - Study population
33
Identify a disease of interest. Identify exposures of interest “risk factors”. Statistical associations between exp. /disease. Hold constant factors that may be “mixed up” in this measure of association. Infer a causal association. Recommend intervention
Epidemiologic approach
34
Measuring disease occurrence is fundamental in epidemiology.
Quantification in epideiology
35
4 types of scales in quantification
- Nominal Scale - Ordinal - Interval - Ratio
36
Uses names
Nominal scale
37
Follows an order based on severity
Ordinal scale
38
Follows a mathematical order but has no true zero
Interval scale
39
Follows a mathematical order and has a defined true zero
Ratio scale
40
Depending on the time element we can also quantify cases as prevalent or incident by either measuring:
- Prevalence proportion | - Incidence rate
41
Equation for prevalance proportion
``` # of cases / # person in population (at a specific time) ```
42
Specified time interval can be a ‘point’ or ‘period’ of time
Prevalance proportion
43
Forty five (45) D1 students out of one hundred and five (105) have at least one active carious lesion
Prevalence proportion
44
Incidence rate equation
``` # of new cases of disease/population at risk (Over a time period) ```
45
7 new cases of periodontal disease per 105 D1 students in 2010.
Incidence rate
46
Is prevalence a rate?
NO
47
Is incidence a rate?
Yes
48
What does incidence need to be relevant
A time unit
49
Concerned with the number of new cases among persons at risk for a specific follow-up period
Incidence rates
50
With regards to diagnosis, prognosis or | causation, longitudinal studies such as _____________ are appropriate
Cohort studies