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Types of prevention
Primary prevention, secondary prevention and tertiary prevention
Primary prevention: preventing disease before it happens
Healthy individuals
Prevent exposure (tobacco, pesticides)
Immunize against a disease
Promote healthy behaviors
(most effective but often most difficult to implement, especially for chronic diseases)
Secondary prevention: catching disease at an early, asymptomatic stage
Requires knowledge of the natural history of the disease
Screening (colonoscopy, PAP smear)
Good idea when early treatment is more effective (breast cancer screening)
Helps stem transmission
Downsides: costly, invasive, over-treatment
Tertiary prevention
Prevention of health deterioration in those already diagnosed with a disease
Requires clinical data and patients
May involve pharmacological, behavioral or other interventions
True or false: If two factors are strongly associated with each other, one must be causing the other:
false
What is the causal relationship between obesity and diabetes?
-neither necessary nor sufficient
Necessary cause:
without the factor, disease never develops (factor is necessary)
Sufficient cause:
in presence of certain factor (s), disease always develops (a condition with which the effect must occur)
Necessary AND sufficient:
one to one relationship of exposure to disease, rare: largely theoretical, fatalistic
Necessary but not sufficient:
necessary factor but not sufficient in and of itself, common for many infectious diseases
Sufficient but not necessary:
factor alone definitely produces disease…but so can other things
Criteria for determining causality
Temporal: exposure before outcome, strength: measure of association, dose-response: > exposure => likelihood of outcome, except with thresholds, consistency: different studies and populations, biological plausibility: coherence with biologic knowledge, alternate explanations, cessation of exposure/experiment, coherence with other knowledge and specificity of the association
what type of study provides a ‘snapshot’ of the population
cross sectional
which of the following studies begins by identifying those with disease (cases)?
case control
A group of 1,500 college students from UCSD were followed for 6 months to investigate whether or not students who decided to routinely self-test for covid had a smaller risk of becoming infected with COVID-19. What type of study is this?
cohort
Descriptive
description of the occurrence of a disease in a population. Generates hypotheses
Analytical
analyzes relationships between health status and other variables (exposures). Includes a comparison group. Tests hypotheses.
Cohort
Long follow-up, Expensive, Large samples, Not good for rare diseases, Risk factors, Calculate incidence, Attrition/loss to follow-up
case control
Quick, Inexpensive, Small samples, Rare diseases, Uses records, Matched controls, Prone to bias
cross sectional
A design in which members of a specified population are assessed for
both exposure(s) and outcome(s) at a single point (or period) in time.
cross sectional - the bad
Bias can occur in the selection of participants or timing of survey, long lasting diseases are confusing, not suitable for rare diseases
ecological
Observational study in which the unit of measure is a population or group rather than an individual