Exam 1 Flashcards
Epi Def
Study of distribution and determinants of health related events in specified populations and the application of the study to control health issues
fundamental question of epi
does an exposure cause an outcome?
3 data types
Describe, Predict and Causal Inference
Possible Exposure-disease relationships
limited evidence (unworthy of study), good evidence (worthy of a study), strong evidence (basis of public policy)
4 explanations of association
causal, reverse causation, chance, bias
web of causation
causation due to many interconnected factors
Pro: multiple causes to a disease, links bio to social determinants
Critiscism of web of causality
lack of causal mechanisms, lack of origins, no theory, no difference between individual and population determinants
Biomedical model criticism
focus on biological determinants, social determinants are secondary, populations are sums of individuals
Hills causal criteria
9 total: experimental, temporal, strength of association, dose response, biological plausibility, consistency, analogy, specificity, coherence
Temporal Relationship
Exposure preceding an outcome
Strength of association
Stronger associations are more likely to be causal
Dose Response
Greater exposure = greater outcome
biological plausibility
reasonable proposed bio mech
consistency
observe association within different contexts but get same results
analogy
similar to other established causal relasionships
specificity
uniqueness of given exposure with a specific outcome
Coherence
Similar to results in a lab
Modified Determinism
component, necessary and sufficient causes
Sufficient cause
a single cause or set of causes that are necessary and make the disease occur
component
a factor needed in some cases
necessary
a factor found in all cases
Pros and cons of modified determinism
Pro: conceptual, bio makes sense, see patterns of risk factors
Cons: we don’t know all causes, not quantitative