erin (L1) Flashcards

1
Q

Definition of epidemiology

A

Epidemiology is the study of diseases in populations

Compares level of infection between diff groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

steps of epidemiology

A

Diagnosis & prognosis
Identify the likely ETIOLOGY or cause of disease.
Identify the RISK FACTORS – those that increase a persons risk for a disease.
Determine the extent - quantify the incidence or prevalence of disease

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

questions asked in the epidemiological approach

A

Is there an association between exposure to a variable (e.g. exposure to environmental agent or characteristic of a person such as high cholesterol levels) and development of disease in question?
Is this difference real?
Why have they occurred?
From observations to prevention/control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is the target population

A

target population = population at risk

  • The population that have the potential to get the disease of interest - e.g. UK women are the population at risk of breast cancer in women in the UK
  • If we were interested in all breast cancer in the UK we would need to include all men in the UK as well (about 300 men get breast cancer each year)
  • We might limit the population to an age group at greatest risk, e.g. women over 18, or women over 50
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

can you study an entire popualtion?

A

you cannot study whole populations

Can access a subset of the target population, the STUDY POPULATION ((e.g. women who have presented to their doctor in 2009))

Study population is sampled to give the STUDY SAMPLE

  • Typically defined by age, sex, race, geographical location
  • Should be REPRESENTATIVE of target population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

how do you measure disease?

A

AS A PROPORTION
a / (a+b)

AS A RATIO
a / b

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

rate vs snapshot

A
RATE = How fast the disease is occurring
Rate = Expresses the relationship between an event and a defined population evaluated over a specified time period

SNAPSHOT - measure of the disease at a specific point in time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

define incidence and give its equation

A

The number of NEW cases of a disease in a TIME period - it is a rate

INCIDENCE = Number of new cases of a disease occurring in the population during a specified time period / Number of people who are at risk of developing disease during that period of time.

denominator is the people at risk

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

define prevalence and give its equation

A

How much of a disease there is in a population at any one time - it is a snapshot

PREVALENCE = Number of cases of disease in the population at a specified time / Number of people in the population at that time.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Types of prevalence estimate

A

Prevalence or POINT PREVALENCE: the amount of a variable at one point in time

  • typical (previous slide)
  • “Do you currently have asthma?”

PERIOD PREVALENCE: the amount of a variable over a defined time period

  • eg. number of women with breast cancer in 2014
  • eg. “Have you ever had asthma during the last 5 years?”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Incidence vs. Prevalence

A

The prevalence of a disease is dependent on

  • The incidence, i.e. how quickly new cases develop
  • How long the disease lasts due to deaths or recovery
  • prevalence = incidence x duration of infection (time)

Incidence is a measure of risk, prevalence is not
- incidence = prevalence / duration of infection (time)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How do we measure what is causing disease?

A

A variable is something that we are interested in that varies!

(( Examples include: age, race, diseases, and exposure ))

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

2 types of variables

A

A response or dependent variable
–> The variable that we expect to be influenced by other variables

A predictor or independent variable
–> The variables that change our response variable

[[ examples - Disease occurrence (dependent) influenced by age (independent)
Cervical cancer (dependent) affected by papilloma virus exposure (independent) ]]
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

define a risk factor

A

A RISK FACTOR is a variable which is associated with an increase or decrease in a disease.

Measuring associations between risk factors and disease incidence

  • Risk ratio (RR) = relative risk
  • Odds ratio (OR)
  • Attributable risk (AR)
  • Population Attributable risk (PAR)
  • Attributable Proportion
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

statistical association (2x2 table)

A

Risk factor is on the y axis - anything that could drive the disease
Disease is on x axis - individuals in a band are exposed and have the disease / b band are exposed and do not have the disease

a+c = number of individuals in population with the disease
a+c/n = prevalence of disease in population
a+b = total number of people exposed to that risk factor
a+b/n = proportion of population that smokes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

risk ratio RR equation

A

Risk Ratio = risk of disease in exposed / risk of disease in unexposed
= (a/a+b) / (c/c+d)
= (a/a+b) x (c+d/c)

calculated as a ratio of proportions

17
Q

risk ratio possible outcomes

A

If RR = 1 Risk in exposed is equal to risk in non-exposed (no association)
If RR > 1 Risk in exposed is greater than risk in non-exposed (positive)
If RR < 1 Risk in exposed is less than risk in non-exposed (negative)

18
Q

odds ratio equation

A

Odds Ratio = odds of disease in exposed / odds of disease in unexposed
= (a/b) / (c/d)
= ad / bc

19
Q

odds ratio possible outcomes

A

If OR = 1 Odds in exposed is equal to odds in non-exposed (no association)
If OR > 1 Odds in exposed is greater than odds in non-exposed (positive)
If OR < 1 Odds in exposed is less than odds in non-exposed (negative)

20
Q

what do these ratios tell us? (RR and OR)

A

How strong the association between disease and exposure

  • e.g. (relative risk) smokers are 1.5 times more likely to die from heart disease than non-smokers
  • e.g. (Odds ratio) OR for 1 year or more of oral contraceptive use, relative to less than 1 year of use, was 1.5 (95% confidence interval: 1.2 to 1.8)

A measure of effect is useful to evaluate aetiology (causality)

21
Q

define attributable risk and its equation

A

the amount of disease attributable to an exposure in those exposed

attributable risk = risk in exposed - risk in unexposed
= (a/a+b) - (c/c+d)

Useful because allows assess important causes of death/disease in the population?

22
Q

define the Population attributable risk (PAR) and its equation

A

The amount of disease attributable to an exposure in the population

Population attributable risk = attributable risk x prevalence of exposure in population

Population attributable risk measures potential impact of control measures in a population, and is relevant to decisions in public health

23
Q

define the attributable proportion

A

Proportion of disease that would be eliminated in a population if its disease risks were reduced to that of unexposed persons

Used to compare the potential impact of different public health strategies

Gives numbers of lives saved