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Physical activity epidemiology
The study of the relation between physical activity and health using epidemiologic methods
Benjamin Rush
1770s
“Sermons to gentlemen upon temperance and exercise”
Plan of a federal university
Epidemiology
the study of the distribution and determinants of health related states or events in specified populations and the application of this study to the control of health problems
Epi
Upon, among
-demos
the populace, the people
-ology
the study of
“study”
Basic science of public health
Quantitative
Based on principles of stats and research methodologies
“distribution”
Study the distribution of frequencies and patterns of health events
Try to answer who, what, when, where
“determinants”
Attempt to search for causes or factors associated with risk of disease
Try to answer how and why
KEY: DISEASE IS NOT RANDOMLY DISTRIBUTED
“health related states”
Early epi = infectious disease
Modern epi = whole spectrum
“populations”
epi deals with groups of people, NOT individuals
“control”
control and prevent health problems
Data steers public health decision making
Development/evaluation of interventions
Morbidity
Prevalence and incidence of disease
Mortality
Incidence of death
Relative risk = 1
Risk is equal (no association)
Relative risk > 1
Risk in exposed group is greater (positive association)
Relative risk < 1
Risk in exposed group is less (negative assocation)
An epidemiologists goal is to answer this question:
Does exposure cause outcome?
Cause
An exposure or characteristic whose presence has led to one or more individuals developing the disease
Theory of casual mechanisms
All pieces of the pie must be present for disease to occur through this mechanism
disease begins when last mechanism has acted
If any piece of the pie can be prevented, the disease CANNOT occur through that mechanism
Prevalence
Useful for planning or targeting interventions
Can be point or period
A proportion ranging from 0 to 1
A “snapshot” of the population
Does NOT estimate risk of disease
Cumulative incidence
A proportion ranging from 0 to 1
Represents the probability that an individual will develop the disease over a specified time period
IS a measure of disease risk
Assumption: all at risk individuals followed for entire period
Incidence rate
Represents the average rate at which a disease develops over a specified time period
A true rate, ranges from 0 to infinity
Accounts for differing lengths of follow up
Change in incidence reflects change in etiologic factors
Randomized control trial
subjects are randomly assigned to receive/not receive an experimental treatment, procedure, or other intervention
Gold standard method of testing hypotheses
Randomized control trial PROS
Strongest evidence of cause/effect
Allow standardization of selection, exposure, study measures
Randomized control trial CONS
Possibly expensive
Not suited to many research questions
May not be generalizable
Prospective cohort
Begin with a group of people (cohort) free of disease
Classified according to exposure to a potential cause of disease
Exposed and unexposed subjects followed over time to determine whether they experience the outcome/disease
Prospective cohort PROS
Exposure measured before disease occurs
Temporal sequence established
Exposure measurement less prone to bias
Can establish incidence of disease
Can assess more than 1 outcome
Prospective cohort CONS
Large #’s needed for rare outcomes
Often long time frame
Expense
Case control
starts with the identification of people with the disease of interest and a suitable control group of people without the disease
Compare exposure among persons with the disease (cases) and among persons without the disease (controls)
Case control PROS
Good for studying rare conditions
Relatively small # of subjects
Relatively inexpensive and short duration
Case control CONS
Limited to 1 outcome
Prone to bias
Temporal sequence of events not certain
NOT useful for studying rare exposures
Cross sectional
survey of a sample of the population in which the status of individuals with respect to 1 or more characteristics is assessed at 1 point in time
Measures the prevalence of disease
Hypothesis generating
Cross sectional PROS
Can measure more than 1 exposure and outcome
Usually of short duration
Yield prevalence estimates
Cross sectional CONS
Cannot establish temporal sequence of events
Do NOT yield incidence or true RR
NOT good for rare exposures or outcomes
Odds ratio
Only measure of association available for case control
Goals of analytic study
Obtain an accurate measure of association between the exposure and outcome of interest
Determine whether the exposure is independently (and possible casually) related to the outcome
Confounder effects
Can create the appearance of a cause effect relationship when none exists or mask true associations
Distortion of results by a confounder can be large or small
Can increase/decrease the apparent association between an exposure and disease
Methods to control confounding
In the design they include:
Randomization, restriction, matching
In the analysis they include:
Stratification and statistical modeling
To be accurate, must minimize
Random error and systemic error
Estimates can go astray
randomly and systematically
Random error
the divergence, due to chance alone, of an observation on a sample from the true population value
Affects precision
Random error sources
Individual biological variation
Sampling error
Measurement error
Systematic error
occurs when results are produced that systematically depart from the true population values
Affects validity
Systematic error may arise due to methods used to
Select study participants
Collect info regarding exposure and outcome
Selection bias
Results from flaws in how study participants are selected
Info bias
Results from flaws in how exposure or outcome info obtained