lecture 3 Flashcards

1
Q

what is epidemiology

A

Is the study of the distribution of disease and determinants of disease frequency in populations.

Is the study of “causes” of disease.

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2
Q

goal fo epidemiology

A

control health problems and improve health at population level

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3
Q

epidemiology operations

A

counting causes of M&M (POTENTIALLY MODIFIABLE CAUSES)

determining variables associates with M&M

guiding interventions to improve public health

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4
Q

basic assumptions of epidemiology

A

death, disease, disability do not occur at random

there are causal factors that can be ID’d thru investigation

ID’ing factors can lead to preventative intervention

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5
Q

clinical and research concers

A

usually you know either the exposure or the outcome and you want to measure the other

need to make sure you measure accurately and understand what population is represented

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6
Q

achievements in epidemiology and oral health

A

water fluoridation

fluoridated tooth paste

smoking as RF for oral cancer

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7
Q

endemic definition

A

the usual occurrence of a disease in a given population

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8
Q

epidemic definition

A

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

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9
Q

pandemic definition

A

spread of a disease across large region or worldwide

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10
Q

independent variable

A

exposure of interest

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11
Q

dependent variable

A

outcome of interest

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12
Q

epidemiology is fundamentally concerned with

A

populations

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13
Q

association defintion

A

an identifiable relation between exposure and dz

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14
Q

association examples

A

incidence rate of oral cancer higher among smokers than nonsmokers’

xerostomia is associated with higher caries risk

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15
Q

three questions in causal inference

A

methodological: how do we look for the casue
ontological: what is a cause
ethical: how do we decide if there is enough evidence

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16
Q

cause definition

A

an event, condition or characteristic that PRECEDED the disease and without with the disease WOULD NOT have occurred at all or would not have occurred until some later time

17
Q

criteria for assessing casualty

A

strength of association

dose-response relationship

temporal sequence

biologic credibility

consistency of findings

18
Q

risk factor definitoin

A

a factor which if present increases the probability of disease occurrence

19
Q

risk factor criteria

A

exposure must precede disease onset

must be associated with increased disease frequence

absence of errors and bias

20
Q

four types of scales (quantification in epidemiology)

A

nominal scale
ordinal scale
interval
ratio

21
Q

nominal scale

A

uses names

22
Q

ordinal scale

A

follows and order based on severity

23
Q

interval scale

A

follows mathematical order but has no true zero

24
Q

ratio scale

A

follows mathematical order and has a defined true zero

25
Q

how to quantify cases as prevalent or incident

A

measuring:

prevalence proportion
incidence rate

26
Q

prevalence formula

A

cases/ #persons in population

AT A SPECIFIED TIME

27
Q

incidence formula

A

new cases of disease/ population at risk

over time period

28
Q

t/f: prevalence can be measured as a rate

A

NO

29
Q

t/f: incidence can be measured as a rate

A

YES, it is NOT meaningful without a time unit