Epidemology Flashcards

1
Q

CanMEDs

A

Medical expert

Scholar, Health advocate, Leader, Collaborator, Communicator, Professional

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2
Q

Epidemiology

A

study (data-driven) of the distribution (frequency, pattern) and determinants (risk factors, causes) of health related states and events in populations

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3
Q

Prognosis

A

predicting the likely or expected development of a disease, including whether the signs and symptoms will improve or worsen or remain stable over time

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4
Q

Risk factors cardiovascular disease

A

Obesity: high BMI, hypertension, diabete, cholesterol

smoking

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5
Q

Risk factors

A

some are controllable: smoking, obesity

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6
Q

Coronary heart disease

A

disease of the blood vessels supplying the heart muscles

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7
Q

Ischemic stroke

A

disease of the blood vessels supplying the brain

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8
Q

Cardiovascular disease

A

disease affecting the heart and or blood vessels

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9
Q

Obesity

A
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
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10
Q

BMI

A

Kg/ height^2

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11
Q

Prevalence

A
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
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12
Q

Incidence

A

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

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13
Q

Cohort study

A

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

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14
Q

Adjusting risk factors

A

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

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15
Q

Difference in gender

A

Women live longer

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