Unit 3 - Measuring the Health of Populations Flashcards

1
Q

Historical Definition of health

A

The absence of disease

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2
Q

Modern Definition of health

A

state of complete physical, mental, and social well-being

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3
Q

4 categories of wellness and disease

A

wellness without disease
wellness with disease
illness without disease
illness with disease

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4
Q

Redefined WHO version of health

A

level of health that permits people to lead socially and economically productive lives

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5
Q

quantitative

A

numbers (ex. milestones)

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6
Q

qualitative

A

interpretation

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7
Q

binary measure of health

A

mortality. Healthy or dead and thats not great

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8
Q

two most common mortality based measurements

A

life expectancy at birth
infant mortality rates

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9
Q

Disability adjusted life year (DALY)

A

loss of quality of life adds to loss in health years

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10
Q

Years of Health Life Lost (YHLL)

A

loss of quality of life adds to loss in health years

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11
Q

first time a behaviour was recognised as a negative health factor

A

1996 smoking (risk factor was now identifiable - big impact)

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12
Q

risk factor

A

factors that influence the health of the population

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12
Q

biological factors

A

genetic endowments, aging

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13
Q

environmental factors

A

food, air, water, exposure to infectious disease

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14
Q

lifestyle factors

A

diet, injury avoidance, smoking

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15
Q

psychosocial facotrs

A

poverty, stress, personalty, culture

16
Q

access to health services

A

living in poverty reduces access - increase risk. linked to DOH

17
Q

correlation of risk factors

A

often very connected. Stress - smoking - (financial strain) - diet, poverty.

17
Q

Gini Coefficent

A

measure of income inequality.
0 is all income values the same
1 maximal inequality

18
Q

Incidence

A

rate over time (new cases in a pop.)

19
Q

prevalence

A

total number of cases at a specific time

20
Q

epidemiology

A

the study of the distribution and determinants of disease frequency in human populations

21
Q

Who

A

characterise the disease victims

22
Q

when

A

trend in disease frequency over time

23
where
compare disease frequencies in diff. locations
24
determinants
evaluating relationships in catorgized data
25
human pop.
studying using observation
26
Intervention study
- test a new treatment or drug. - - randomized double blind are the best - done before new treatment approved
27
Cohort studies
- link exposure to results by observation - large pop. - normally health but exposed to some risk factor - followed over time - measure strength of association
28
relative risk
associated with cohort studies
29
Case control studies
- start with already sick people and look back at exposure to risk factor - effecticent and can include smaller pop. - compare cases to controls (health outcome compared to healthy same age, sex)
30
Odds ratio
outcome of case control studies
31
source of error
sample size, confounding variables
32
selection bias
most disatisfied or satisfied individuals want to participate
33
reporting bias
study and control report same even with different exposure
34
cancer rates and aging
as you age more likely to have cancer - not higher risk but consequence of another year
35
rare conditions and disease
require large populations to study
35
likelihood of disease due to chance
chance alone can predict at least one cancer with high rate
36
log vs linear
watch how data is presented