epidemiology Flashcards

1
Q

what are measures of occurrence

A

Describe the distribution of an outcome in a group of people in regards to Person, Time and Place:
* Prevalence
* Incidence: Cumulative incidence
(risk), incidence rate (rate) * Proportions vs odds

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2
Q

what are measures of association

A

Describe association between outcome and its determinants (exposures, risk factors, interventions):
* Ratios
* Differences
* Regression coefficient

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3
Q

Point prevalence

A

measures the proportion of existing people with a disease in a defined population at a single point in time.

no with disease/ total of population at specific time point

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4
Q

Period prevalence

A

is the number of individuals identified as cases during a specified period of time/ the total number of people in that population.

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5
Q

cumulative incidence (RISK)

A

number of new cases in specific time period/ number of people at risk at start of time period

(proportion)

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6
Q

incidence rate (RATE)

A

number of new cases in specific time period/ total person-time at risk during time period

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7
Q

odds (of a disease)

A

number of new cases/ number who dont have disease at end of period

(part/none part)

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8
Q

if there is an association what could be the cause?

A
  • chance
  • bias
  • confounding
  • true association
  • reverse causation
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9
Q

What are ratio/relative measures of association?

A

Divide the two measures of disease occurrence

CIR, IRR, OR

How much higher is the risk of lung cancer among smokers (exposed) compared to non smokers (unexposed)?

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10
Q

cumulative indicidence ratio

A

CI in exposed/ CI in unexposed

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11
Q

incidence rate ratio

A

incidence rate in exposed/ incidence rate in unexposed

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12
Q

what do these relative risk mean.

<1

1

> 1

A

A relative risk of 1 indicates that the incidence of disease in the exposed and unexposed groups is identical and that there is no association observed between the disease and risk factor/ exposure.

A relative risk > 1 occurs when the risk of disease is greater among those exposed and indicates a positive association, or an increased risk among those exposed to the risk factor compared with those unexposed.

A relative risk < 1 occurs when the risk of disease is lower in those exposed compared to those unexposed and indicates a negative association.

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13
Q

Attributable risk

is it absolute or relative

A

risk in exposed - risk in unexposed

absolute

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14
Q

what do these mean for the attributable risk

<0

0

> 0

A

<0 exposure associated with X fewer cases

= 0 no association between exposure and disease

> 0 exposure associated with X more cases compared to unexposed

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15
Q

Attributable Risk Fraction Aetiological Fraction Etiological Fraction

A

R exposed - R unexposed/ R exposed

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16
Q

population attributable fraction

A

Risk in total population - risk in unexposed

The population attributable risk (PAR) estimates the excess rate of disease in the total study population that is attributable to the exposure. It provides a measure of the public health impact of the exposure in population,

assumes that the association is causal!!!

17
Q

Number Needed to Treat (NNT)

A

1/ absolute risk reduction (ignoring sign)

number of people needed to treat to prevent 1 case

look at absolute risk reduction to see if worthwhile

18
Q

methods of probability sampling

A

random
stratified
systematic
cluster

19
Q

what is person years definition, What are the advantages and disadvantages.

A

Definition
Patient years=denominator of the rate, calculated by counting all individuals in a pre-determined time period in this case time spent in the RCT

Advantages
Using person-time rather than just time handles situations where the amount of observation time differs between people,

Can be used to compare between studies as a method of standardisation (e.g. comparing studies of different lengths) and can be used to maximise all data as patients will have been in RCT for variable length of time

Disadvantage
Use of this measure implies that the incidence rate is constant over different periods of time, such that for an incidence rate of 14 per 1000 persons-years, 14 cases would be expected for 1000 persons observed for 1 year or 50 persons observed for 20 years. This may not be the case.
Difficult to interpret and communicate in the real world as requires understanding of the assumptions underlying it

20
Q

Describe an appropriate method for comparing the two survival curves, what assumptions is this test based on

A

The log rank test.
null: no difference between survival curves

(used on kaplan meier curves)

Assumptions
1) that the data are continuous or ordinal

2) that risk of an event in one group relative to the other does not change over time (proportional hazards assumption)

  1. non parametric
21
Q

what is censoring? give some reasons

A

Censoring is when an observation is incomplete due to a cause independent of the event of interest

the subject dies from another cause, independently of
the cause of interest;
the study ends while the subject survives; or
the subject is lost to the study, by dropping out, moving
to a different area
Event of interest already occurred at the observation
time, but it is not known exactly when.

22
Q

Relative Risk Reduction (RRR)

A

= (ARc – ARt) / ARc; or RRR = 1 – RR

c: control
t: treatment
RR: relative risk - ARt/ ARc

23
Q

proportional mortality ratio

A

measures the proportion of deaths occurring from a given
cause for a particular occupation relative to the proportion of deaths from that cause in the
whole population (or a comparison population)

 A PMR is based on the underlying cause of death as recorded on the death certificate and provides little information about diseases that cause high morbidity but which are
rarely fatal

 Occupational information usually relates to the deceased persons last full-time job, but other jobs undertaken earlier in their career may be of more relevance
 The PMR is not a population-based rate, and so it can be used to measure mortality where no denominator is available about the number of people who work in an
occupation
 The PMR of an occupational group for a specific cause depends not only on its death rate from the cause in question, but also on its death rate from all causes combined.
This may be of relevance where an occupational group has particularly high or low mortality from the most common causes of death. As it is a proportional measure, the
PMR can be raised in situations where the frequency of other causes of death is low

24
Q

Relative Risk (RR)

A

= ARt / ARc (AR exposed/ ER unexposed)

25
Q

what type of graph is this and give four things that it shows

A

Epidemic curve

  • duration of outbreak
  • magnitude of outbreak
  • time trend of outbreak
  • propagation of outbreak (person to person spread)
  • outlier investigation
26
Q

basic reproduction number and what is it affected by

A

average number of secondary infections produced by a typical case of an infection in a population where everyone is susceptible

affected by:
The rate of contacts in the host population (eg behaviours)
The probability of infection being transmitted during contact
The duration of infectiousness.
how infection spread (direct contact, airborne)

27
Q

effective reproductive number

A

average number of secondary cases caused by a disease in a particular population, at a particular time.

OR

average number of secondary cases per infectious case in a population made up of both susceptible and non-susceptible hosts.

28
Q

herd immunity threshold

A

the proportion of a population that need to be immune in order for an infectious disease to become stable in that community. If this is reached, for example through immunisation, then each case leads to a single new case (R=1) and the infection will become stable within the population.

(R0-1) /Ro

If the threshold for herd immunity is surpassed, then R<1 and the number of cases of infection decreases. This is an important measure used in infectious disease control and immunisation and eradication programmes.

29
Q

Attack rate

A

total number of new cases/ population at risk in a defined time period

30
Q

how to calculate excess deaths

A
  1. define baseline risk (lowest exposure)
  2. ensure each group has a death rate
  3. death rate A - baseline death rate = excess death rate
  4. excess death rate x population n A = excess deaths
31
Q

Life table (how to calculate)

A
  1. calculate deaths, survivors
  2. work out life years lived for each age band = survivors + (deaths/2)
  3. sum all life years
  4. life expectancy = sum life years/ alive at start

for life year (Lx)

times by age band

32
Q

cohort vs period life expectancy

A

Cohort:
- the probability of a person from a given cohort dying at each age over the course of their lifetime. a cohort refers to a group of people with the same year of birth.

  • The cohort life table is based on age-specific probabilities of death, which are calculated using observed deaths (mortality) data from the cohort.

-A cohort life table uses a combination of OBSERVED AND PROJECTED mortality rates

good: more accurate, can project

issues: how projections calculated, complicated to produce

Period:

  • mortality rates for a fixed period in time. (no projections)

For example, period life expectancy at age 65 years in 2020 would use the mortality rates for 2020 for ages 65, 66 and 67 years, and so on.

use mortality rates from a single year (or group of years) and assume that those rates apply throughout the remainder of a person’s life. This means that any future changes to mortality rates would not be taken into account

good: baseline for cohort LE

issues: normally more conservative LE