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
Cross-sectional study
gather data on exposure and disease simultaneously and see if there are associations
26
Cohort study
follow patients for a period of time to see if they develop a disease
27
Covariates
variables that are possibly related with the exposure
28
Record linkage
using external sources of health data to link identities of the individual cohort members to it
29
Interviewer bias
interviewer interprets exposure information differently when disease status of the individual is known
30
Recall bias
people with disease recall their exposures more precisely or differently than people without disease