Epidemiology and Causation Flashcards
(34 cards)
What is epidemiology?
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.
what is cause?
something that either alone or in combination with other factors produced an outcome.
what is a sufficient factor?
the presence of this factor alone is enough to result in disease
what is a necessary factor?
the disease never presents if this factor is absent
what are pre-disposing risk factors?
age, sex, genetic traits, etc.
what are enabling risk factors?
factors that help the disease begin and progress
what are disabling risk factors?
factors that hinder or slow recovery
what are precipitating risk factors?
exposure to the disease agent
reinforcing risk factors?
repeated exposure, environmental conditions that promote disease development. stress
what are risk factors?
situations that increase the likelihood/rate of disease development
what are protective factors?
factors that reduce disease development
what are attributable factors?
a quantifiable measure for the preventative impact of elimination a specific causal factor
bradford-hill criteria?
- temporal relationship
- plausability
- consistency
- strength of association
- dose response
- reversibility
- strength of study design
what is temporal relationship?
exposure occurs before disease.
what is needed for a factor to be labelled as a cause?
temporal relationship
what is plausibility?
consistent with other knowledge and studies conducted
what is consistency?
studies conducted in other places and with different populations show the same findings
what is strength of association?
the higher the relative risk, the more likely it is to be a “cause”
what is dose-response?
possible correlation between increasing exposure and severity of outcome or disease
what is reversibility?
dose removing the exposure remove/improve the state of the disease
what is strength of study design?
the type of study determines the strength of the research
what 3 things must we consider for determining cause-effect relationship?
bias, confounding, chance
what is bias?
errors of a study that make the data less reliable
what type of errors come under bias?
- random errors
- systemic errors