Overview of Epidemiological Studies Flashcards
Lecture Objectives
1) recall the definitions and understand the assumptions underlying epidemiology and epidemiological research
2) understand the differences between experimental research and observational research
3) differentiate between association and causation
4) understand the purpose, characteristics, and measures of associations (if applicable) pertinent to each epidemiological study design
5) identify the advantages, disadvantages, and relative strength of each epidemiological study design
Old definition of epidemiology
study of the distribution and determinants of disease frequency in man
New definition of epidemiology
the study of the distribution and determinants of health-related states or events in specified populations and the application of this study to control health problems
Distribution
Who, where, when “descriptive”
Determinants
What, why, how “analytical”
Population
inhabitants of a given area/region/group
Practical goal of epidemiology
to be used as a tool to improve the health conditions of the public
Names of US population studies
Framingham Eye, Beaver Dam, Baltimore, Los Angeles Latino Eye, Chesapeake Bay Waterman , Wisconsin Epidemiologic study of diabetic retinopathy
Names of Non-US population studies
Barbados, Blue Mountain, Rotterdam, Shihpau, Beijing
Incidence
the number of new problems or cases that develop in a population at risk during a given time period; often quantified as a rate
Prevalence
the proportion of a given population with a problem at a designated time; quantified as a proportion
What are examples of exposure?
actual exposure (toxic chemical or microorganism), a behavior or an individual attribute
The exposure of interest may be associated with…
either an increased or a decreased occurrence of disease or other specified health outcome, and may relate to the environment, lifestyle or inherited characteristics
What are examples of outcome?
the disease state, event, behavior, or condition associated with health that is under investigation
What are epidemiologic assumptions?
disease (and/or risk factors) don’t occur at random; disease is not randomly distributed throughout a population
What are epidemiologic shortcomings?
difficulty in measuring exposure, separating causal contributions of exposure from other exposures, difficulty in assessing role of multiple small risks
What is the impractical goal of epidemiology aka the big epidemiological question?
does exposure A cause outcome B
What are Hill’s causal criteria?
temporality, strength, biological gradient (dose-response), consistency (replication), specificity, plausibility, coherence (compatible), experimental evidence, analogy (alternate explanations
What is the ideal model?
counterfactual model
How does the counterfactual model work?
ideally the population exposed/treated and the population not exposed/treated are the same subjects; you then follow-up and measure incidence
What is the real design?
the two populations are comparable subjects after adjustments, still follow-up and measure incidence
What are the overarching categories of epidemiological studies?
experimental and observational
What is an experimental study?
randomized controlled trial or individual or community
What is the breakdown of observational studies?
analytic and descriptive
What are analytic studies?
case-control and cohort
What are descriptive studies?
case report and ecological and cross-sectional