Epidemology Flashcards
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Epidemiology
study (data-driven) of the distribution (frequency, pattern) and determinants (risk factors, causes) of health related states and events in populations
Prognosis
predicting the likely or expected development of a disease, including whether the signs and symptoms will improve or worsen or remain stable over time
Risk factors cardiovascular disease
Obesity: high BMI, hypertension, diabete, cholesterol
smoking
Risk factors
some are controllable: smoking, obesity
Coronary heart disease
disease of the blood vessels supplying the heart muscles
Ischemic stroke
disease of the blood vessels supplying the brain
Cardiovascular disease
disease affecting the heart and or blood vessels
Obesity
2nd leading cause of death in US After Smoking 1 in 4 americans are obese 1 in 2 americans are overweight Overweight: bmi > 25 Obese: bmi > 30 Waist and hip circumference: ratio
BMI
Kg/ height^2
Prevalence
P Number of cases of a disease at a certain time or period in a population P = (n cases / n population)* 100% Point prevalence part of population affected by disease, eg: 65+ Period prevalence withing a time period (N end - N start)/2 Life-time prevalence during life Absolute prevalence: all cases out of the population
Incidence
Number of new cases
Absolute incidence:
new case out of the total population
Cumulative Incidence (CI):
(number of new case in period p/population at risk)100%
period should be specified
all members should be at risk
Incidence density (ID):
(number of new case in period p/ sum person time)
Complete follow up of all population not needed
population time at risk = person time. Person time means how long you followed 1 person. Time ends if die or get disease
Clinical practice/trials mostly have closed population: no new patient and number of patient stays the same
Cohort study
studying association of the exposure to something with a disease in a longitudinal sutdy
have population of people all having that characteristic and observe how many develop the study
Then, compare to a population of not exposed
2x2 table: expose yes/no, disease yes/no and do totals
Relative Risk (RR)= (exposed with disease/n exposed)/(not exposed with disease/ n not exposed)
RR says how many times your risk is higher
RR not computed if loss of follow up ! -> hazard ratio and risk ratio : same interpretation as relative risk
>1 it is a risk factor, <1 protective factor, =1 no effect
1.3 means 30% more chance
Adjusting risk factors
if looking at risk factor of weight
you need to adjust for age, gender, smoking, etc
to only take weight as a risk factor into account
Particularly, we now have an aging population thus it is important to not induce a higher cancer proportion for example
year used for standardization means the age distribution of that year was used to adjust
Difference in gender
Women live longer