ExEpi-Unit1

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47 Terms

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Physical activity epidemiology

The study of the relation between physical activity and health using epidemiologic methods

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Benjamin Rush

1770s

“Sermons to gentlemen upon temperance and exercise”

Plan of a federal university

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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

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Epi

Upon, among

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-demos

the populace, the people

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-ology

the study of

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“study”

Basic science of public health

Quantitative 

Based on principles of stats and research methodologies

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“distribution”

Study the distribution of frequencies and patterns of health events

Try to answer who, what, when, where

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“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 

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“health related states”

Early epi = infectious disease

Modern epi = whole spectrum 

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“populations”

epi deals with groups of people, NOT individuals

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“control”

control and prevent health problems

Data steers public health decision making

Development/evaluation of interventions

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Morbidity

Prevalence and incidence of disease

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Mortality

Incidence of death

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Relative risk = 1

Risk is equal (no association)

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Relative risk > 1

Risk in exposed group is greater (positive association)

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Relative risk < 1

Risk in exposed group is less (negative assocation)

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An epidemiologists goal is to answer this question:

Does exposure cause outcome?

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Cause

An exposure or characteristic whose presence has led to one or more individuals developing the disease

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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

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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

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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

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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

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Randomized control trial

subjects are randomly assigned to receive/not receive an experimental treatment, procedure, or other intervention

  • Gold standard method of testing hypotheses

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Randomized control trial PROS

  • Strongest evidence of cause/effect

  • Allow standardization of selection, exposure, study measures

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Randomized control trial CONS

  • Possibly expensive 

  • Not suited to many research questions

  • May not be generalizable

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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

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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

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Prospective cohort CONS

  • Large #’s needed for rare outcomes 

  • Often long time frame

  • Expense

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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)

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Case control PROS

  • Good for studying rare conditions 

  • Relatively small # of subjects

  • Relatively inexpensive and short duration

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Case control CONS

  • Limited to 1 outcome 

  • Prone to bias

  • Temporal sequence of events not certain 

  • NOT useful for studying rare exposures

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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

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Cross sectional PROS

  • Can measure more than 1 exposure and outcome 

  • Usually of short duration 

  • Yield prevalence estimates

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Cross sectional CONS

  • Cannot establish temporal sequence of events 

  • Do NOT yield incidence or true RR

  • NOT good for rare exposures or outcomes

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Odds ratio

Only measure of association available for case control

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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

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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

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Methods to control confounding

  • In the design they include: 

    • Randomization, restriction, matching 

  • In the analysis they include: 

    • Stratification and statistical modeling

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To be accurate, must minimize

Random error and systemic error

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Estimates can go astray

randomly and systematically

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Random error

  • the divergence, due to chance alone, of an observation on a sample from the true population value

  • Affects precision

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Random error sources

Individual biological variation

Sampling error

Measurement error 

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Systematic error

  • occurs when results are produced that systematically depart from the true population values 

  • Affects validity

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Systematic error may arise due to methods used to

  • Select study participants 

  • Collect info regarding exposure and outcome

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Selection bias

Results from flaws in how study participants are selected

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Info bias

Results from flaws in how exposure or outcome info obtained