Epidemiology and Causation Flashcards

(34 cards)

1
Q

What is epidemiology?

A

the study of distribution and determinants of health-related states or events in a specific population and the application of the study to control and avoid health problems.

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2
Q

what is cause?

A

something that either alone or in combination with other factors produced an outcome.

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3
Q

what is a sufficient factor?

A

the presence of this factor alone is enough to result in disease

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4
Q

what is a necessary factor?

A

the disease never presents if this factor is absent

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5
Q

what are pre-disposing risk factors?

A

age, sex, genetic traits, etc.

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6
Q

what are enabling risk factors?

A

factors that help the disease begin and progress

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7
Q

what are disabling risk factors?

A

factors that hinder or slow recovery

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8
Q

what are precipitating risk factors?

A

exposure to the disease agent

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9
Q

reinforcing risk factors?

A

repeated exposure, environmental conditions that promote disease development. stress

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10
Q

what are risk factors?

A

situations that increase the likelihood/rate of disease development

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11
Q

what are protective factors?

A

factors that reduce disease development

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12
Q

what are attributable factors?

A

a quantifiable measure for the preventative impact of elimination a specific causal factor

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13
Q

bradford-hill criteria?

A
  • temporal relationship
  • plausability
  • consistency
  • strength of association
  • dose response
  • reversibility
  • strength of study design
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14
Q

what is temporal relationship?

A

exposure occurs before disease.

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15
Q

what is needed for a factor to be labelled as a cause?

A

temporal relationship

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16
Q

what is plausibility?

A

consistent with other knowledge and studies conducted

17
Q

what is consistency?

A

studies conducted in other places and with different populations show the same findings

18
Q

what is strength of association?

A

the higher the relative risk, the more likely it is to be a “cause”

19
Q

what is dose-response?

A

possible correlation between increasing exposure and severity of outcome or disease

20
Q

what is reversibility?

A

dose removing the exposure remove/improve the state of the disease

21
Q

what is strength of study design?

A

the type of study determines the strength of the research

22
Q

what 3 things must we consider for determining cause-effect relationship?

A

bias, confounding, chance

23
Q

what is bias?

A

errors of a study that make the data less reliable

24
Q

what type of errors come under bias?

A
  • random errors

- systemic errors

25
what are random errors?
errors that are caused by various factors
26
examples of random errors?
biological variation, sampling error, measurement error
27
how to get rid of random error?
generally eliminated by averaging
28
what are systemic errors?
errors that result in non-zero mean?
29
what are examples of systemic errors?
- selection bias - measurement bias - recall bias
30
what is selection bias?
when the cohort is not properly randomized
31
what is measurement bias?
poor/inaccurate measuring
32
what is recall bias?
mental state affecting the participants responses
33
what is confounding?
extraneous variables that can alter assessment of a cause-effect relationship
34
3 factors for confounding?
- must be a risk factor for disease among those who are not exposed to the factor of interest - must be associated with the exposure of interest 9in the source population) - must not be an intermediate between exposure and the outcome (must not lie on the causal pathway)