EFP 6 Flashcards

1
Q

Define epidemiology

A

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

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2
Q

Define Prevalence

A

A disease in a defined population at one point in time
(cross-sectional study)
- expressed as %

prevalence = All positive cases/ population

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3
Q

What is the point prevalence?

A

of cases on a specific point in time

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4
Q

What is period prevalence?

A
# of cases over a short period of time 
usually specifies a time frame (1988)
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5
Q

What is the incidence?

A

Number of new cases of a disease arising at a defined population over a period of time
- Expressed as a rate because it has a time frame and defined population

Incidence = new cases/ population at risk

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6
Q

What is the risk?

A

The probability of a disease occurring in a disease-free population during a specified time period
- expressed as period n/P (n=new case in x period, P=pop at risk)
assumes follow up in population don’t change with time

Risk= new cases in a period of time/ population at risk

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7
Q

What is the rate?

A

Probability of disease occurring in a disease-free population during the sum of individual time periods.
Specifies the time the population was at risk.
- Rate = n / total person-time of follow-up

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8
Q

What is the cumulative incidence?

A

measured by risk

population has been followed up by the total of the time specified

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9
Q

What is the incidence density?

A

measured by rate over the time people were followed up.

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10
Q

What is the rate/risk?

A

The numbers that apply to all the population

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11
Q

What is category-specific rate/risk?

A

Applies to specific population category (E.x. age-group)

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12
Q

Definition of ecological studies

A

Anecologicaloraggregatestudywhichfocuseson the comparison of groups, at a population-level rather than individuals
– Oftenroutinely-collect statistics
– e.g.infantmortalityrateofacountry
– Hypothesis-generating,not hypothesise-proving

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13
Q

Advantages and disadvantages of ecological studies

A

Advantages
– quick, inexpensive

Disadvantages
– inability to link exposure with a disease, inability to
control for confounding
– very poor evidence of cause and effect’
– subject to ecological fallacy-mistaken perception of
association between health statistics

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14
Q

Definition of cross-sectional studies

A

a sample of the population is selected and
information is obtained at one point in time
– questionnaires±examinations± investigations
– most common output: prevalence

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15
Q

Advantages and disadvantages of Cross-sectional studies

A
Advantages
– measures prevalence (of exposure & disease ) in
defined population
– usuallycheap&inexpensive
– good for exposures which never change

Disadvantages
– (greater)need for representative data, difficult to get
representative sample
– subject to bias
– very limited evidence of ‘cause and effect’

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16
Q

Absolute risk

A

Isolated measure of risk
**no association to an exposure
Ex. 5 people with HIV per 1000

17
Q
Relative risk (RR)
Risk ratio/  rate ratio
A

cause effect relationship between exposure and outcome

RR= Re/Ru

Interpretation: Compared to “unexposed”, “exposed” had RR (x amount) increase in risk of developing “Outcome”

18
Q

Relative Exposure (RE)

A

The absolute risk amongst people exposed

This is a rate

19
Q

Relative Unexposed (Ru)

A

Absolute risk amongst unexposed people

This is a rate

20
Q

Hazard Ratio

A

estimate of the ratio of the hazard rate in the treated versus the control group.

21
Q
Attributable risk (AR)
risk difference/ rate difference
A

ndication of the absolute magnitude of change in risk of outcome, associated with exposure

AR= (Re-Ru)x100

Interpretation: “exposure” causes RA (xx) more cases of the “outcome” per 100 people per year

22
Q

Attributable risk % (AR%)

A

AR%= ((Re-Ru)/Re)x100

interpretation: RA% of the risk of the “outcome” among sick people is due to the “exposure”

23
Q

Population Attributable risk (PAR)

A

Indication of the additional or excess risk of the outcome in the population, due to the exposure

PAR = Rt - Ru

Interpretation: among the whole population, exposure causes PAR more cases of the outcome per 100 people per year”

24
Q

Risk in the whole population (Rt)

A

Risk in the whole population both exposed and unexposed

25
Q

Population Attributable risk % (PAR%)

A

Proportion of risk among whole population that is due to exposure

PAR%=[(Rt-Ru)/Rt] x100

Interpretation: PAR% of the risk of the outcome among the whole population is due to the exposure