Environmental and Occupational Epidemiology Flashcards

1
Q

Is there an interest in causation?

A

Yes; if yes, how important

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2
Q

Types of association?

A
  • no association
  • artificial association: die to chance or bias
  • indirect association: confounding
  • direct association: causal
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3
Q

Observational studies?

A

-cohort (prospective and retrospective)
-case control
cross-sectional

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4
Q

analytical observational studies do what?

A

observe events as they happen (or did happen) w/ no active role in events

  • measure the exposures, outcomes, & potential confounders that might effect the relationship
  • statistical tests
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5
Q

Another name for cohort studies?

A
  • incidence studies
  • longitudinal studies
  • prospective studies
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6
Q

Types of errors?

A
  • random error (chance)

- systematic error

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7
Q

Random errors?

A

more likely to cancel out as the measurements increase

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8
Q

Confounding variable?

A

a variable that distorts the association between the exposure and outcome
-either strengthen or weaken the association; Type I/II error

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9
Q

What makes a confounding variable?

A
  • must be independently associated w/ the outcome
  • must be associated w/ the exposure
  • must not be in a causal pathway between exposure and disease
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10
Q

Alcohol leads to (arrow) lung cancer. What’s the confounding variable?

A

Smoking

-correlated w/ alcohol and a risk factor for lung cancer even if you don’t drink alcohol

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11
Q

Controlling confounding factors? (at design stage)

A
  • restricting
  • randomization
  • matching
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12
Q

Controlling confounding factors? (at analysis stage)

A
  • stratification

- multivariable adjustment

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13
Q

Randomization?

A

an attempt to evenly distribute potential (unknown) con founders in the intervention and control groups in a randomized controlled trial

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14
Q

Restriction?

A

prevents confounding, but may be reduce the study size reducing statistical power
Ex: Concern that maternal smoking may be a confounder in associations between childhood lead exposure and reduced IQ. Restrict study population to kids w/ non smoking moms

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15
Q

Multivariable adjustment?

A

can adjust (control) for the effects of many variables simultaneously

  • linear regression
  • logistic regression
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16
Q

Selection bias?

A

selective differences between the comparison groups that distorts the relationship between exposure and outcome
-Ex: healthy worker effect; only picking ppl who are considered healthy to work or be in the study

17
Q

Information bias?

A

measurement bias; Investigators who know exposure status may be more or less likely to ascertain the outcome (diagnostic bias)
-to fix this, blinding of investigator and subjects

18
Q

Controlling bias?

A

selection bias and measurement bias must be controlled at the design stage

19
Q

How to limit selection bias?

A

Representative sampling from the same population

20
Q

How to limit measurement bias?

A

blinding

21
Q

Strengths of cohort studies?

A
  • good when exposure is relatively rare
  • can look at multiple outcomes from a single exposure
  • can minimize measurement bias
22
Q

Weaknesses of cohort studies?

A
  • inefficient for rare outcomes
  • long time to complete
  • expensive
  • risky following people at risk
23
Q

Weaknesses of cohort studies?

A
  • inefficient for rare outcomes
  • long time to complete
  • losses to follow up
  • expensive
  • potential ethical issues. may be a risk
24
Q

Case control studies?

A

a type of observational study commonly used to look at factors associated with diseases or outcomes
-one group that has the disease (cases) are tested while another group w/o the disease (controls) are given the same exposure

25
Q

What is the measure of association for case control?

A

odds ratio (AD/BC)

26
Q

Strengths of case control studies?

A
  • useful for diseases that are rare, have long induction periods, like cancer, and to explore a wide range of exposures
  • cheap
  • quick
  • safe
27
Q

nested case control studies?

A

select cases and controls for the study

-the study is “nested” w/in the cohort

28
Q

Recall bias?

A

cases tend to closely scrutinize their past history looking for explanations for their illness
-the disease status of subjects affects their likelihood of reporting the exposure.
Ex: a patient with cancer may be more likely to recall being a smoker

29
Q

How to avoid recall bias?

A
  • avoid using records of exposures prior to disease
  • choose new incident cases (for better memory,
  • choose appropriate control group (those w/ a different disease not related to the exposure)
  • blind study subjects
  • verify exposure from another source (spouse, friend, etc.)