Lecture 4: Cardiovascular disease Flashcards

1
Q

Etiology

A

studies the causes/origins of a disease

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2
Q

Cause

A

combination of effects, conditions and/or characteristics that play an essential role in producing disease

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3
Q

Component cause

A

factor that contributes to the disease, but cannot cause it alone

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4
Q

Necessary cause

A

component cause that’s required for the development of the disease

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5
Q

Sufficient cause

A

combination of factors that inevitably causes disease

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6
Q

Positive cause

A

presence of an exposure causes disease

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7
Q

Negative cause

A

absence of an exposure causes disease

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8
Q

Reverse causation

A

outcome could influence the exposure

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9
Q

Outcome

A

all possible results that stem from exposure

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10
Q

Synergism

A

combination of exposures exceeds adding up or multiplying separate effect

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11
Q

Antagonism

A

combination of exposures “silences” the seperate effects

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12
Q

Induction time

A

time it takes to complete all sufficient causes of the disease

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13
Q

Latency time

A

time it takes from last sufficient cause to time of diagnosis of disease

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14
Q

Background risk

A

natural occurence of disease in the unexposed population

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15
Q

RD

A

rate difference; extra risk - background risk

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16
Q

RR

A

rate ratio; extra risk / background risk

17
Q

Population strategy

A

try to shift the whole population distribution

18
Q

High risk strategy

A

try to move high risk individuals

19
Q

Middle-road strategy

A

moderate reduction in weight in the top half of the population

20
Q

Prevention paradox

A

small absolute risk for individuals may have a large impact on population health, and vice versa

21
Q

Independent sample t-test

A

to compare two different groups

22
Q

Paired sample t-test

A

test difference within one group before and after intervention

23
Q

One sample t-test

A

compare one group to a hypothesis or the population average

24
Q

Random sampling error

A

each sample will include slightly different people and their characteristics will tend to vary from those in other samples, just by change

25
Q

Cross-sectional study

A

gather data on exposure and disease simultaneously and see if there are associations

26
Q

Cohort study

A

follow patients for a period of time to see if they develop a disease

27
Q

Covariates

A

variables that are possibly related with the exposure

28
Q

Record linkage

A

using external sources of health data to link identities of the individual cohort members to it

29
Q

Interviewer bias

A

interviewer interprets exposure information differently when disease status of the individual is known

30
Q

Recall bias

A

people with disease recall their exposures more precisely or differently than people without disease