HLTC19: Chronic Diseases (Midterm) Flashcards

(113 cards)

1
Q

what is a population?

A

a group of people with common characteristic(s)

eg. gender, age, occupation, etc.

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2
Q

focuses on the distribution of health-related states/events in specified populations

A

descriptive epidemiology

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3
Q

quantifying how often a disease arises in a population

A

disease frequency

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4
Q

quantifying disease frequency involves:

A
  1. developing a definition of disease
  2. instituting a mechanism for counting cases of disease w/in specified population
  3. determining size of said population
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5
Q

focuses on determinants of health-related states or events in specified populations

A

analytic epidemiology

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6
Q

factors that bring about a change in a person’s health or makes a difference in a person’s health

A

disease determinants

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7
Q

what are some goals and applications of epidemiology in relation to chronic diseases?

A
  • control health problems
  • determine extent of disease in a population
  • identify patterns and trends in disease occurrence
  • identify causes of disease
  • evaluate effectiveness of measures that prevent and treat disease
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8
Q

how does the WHO define chronic diseases?

A

chronic diseases are diseases of long duration with slow progression

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9
Q

what are some common themes in defining chronic disease?

A
  • share common risk factors
  • begin slowly and develop gradually over time
  • can occur at any age (but more common in adulthood)
  • impact quality of life and limit daily activities
  • require long-term management with multiple services required
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10
Q

what are the 4 major chronic diseases?

A
  1. CVD
  2. Cancer
  3. Chronic respiratory diseases
  4. Diabetes
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11
Q

what is the goal of public health?

A

to promote the health of the population through organized community efforts

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12
Q

the state of complete physical, mental, and social well-being, not merely the absence of disease

A

health

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13
Q

the study of pattern and causes of health-related outcomes and application of these findings to the improvement of public health

A

epidemiology

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14
Q

a set of criteria that must be fulfilled to identify a person as representing a case of a particular disease

A

case definition

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15
Q

a continuum b/w risk factors and disease as end result of continuum

A

chronic disease continuum

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16
Q

overarching factors that are largely outside the control of the individual that have significant trickle down effects on other, more proximal determinants of public health

A

upstream determinants

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17
Q

type of population where membership is defined at a point in time or an event, is permanent, and does not change

A

close/fixed population

eg. Japanese atomic bomb survivors

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18
Q

type of population where membership is defined on the basis of a changeable state or condition and is transient

A

open/dynamic population

eg. cancer registry (people added as they are diagnosed)

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19
Q

the shift from infectious and deficiency diseases to chronic, non-communicable diseases

A

epidemiological transition

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20
Q

rate of occurrence of new cases of disease in a population at risk during a specified period of time

A

incidence

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21
Q

frequency of current cases of disease (old + new) in a population at risk during a specified period of time

A

prevalence

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22
Q

(proportion/rate)

_____ tell us what fraction of the population is affected; _____ tell us how fast the disease is occurring

A

PROPORTIONS tell us what fraction of the population is affected; RATES tell us how fast the disease is occurring

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23
Q
  • # of new health-related events in a defined population within a specified period of time
  • measures risk
A

incidence

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24
Q

the fraction of people who experience the onset of the event during a specified time period

A

cumulative incidence / incidence proportion

(used when people are followed the entire time!!!)

vs. incidence rate when people are followed for a certain period of time/until disease occurs

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25
what is the formula for cumulative incidence?
26
the rate at which new events occur in a population; takes into account variable time periods at risk
incidence density / incidence rate total amount of time EACH person was observed
27
what is the formula for incidence density / incidence rate?
28
* the proportion of individuals in a population who have a disease or condition * measures **burden** of an event
prevalence
29
what is the formula for prevalence?
30
percentage of people in a population with the condition at a specific point in time
point prevalence
31
percentage of people in a population with the condition over a specified period of time
period prevalence
32
what are some factors that impact prevalence? * as incidence increases, prevalence \_\_\_\_\_ * as # of people cured increases, prevalence \_\_\_\_\_ * as # of people that survive increases, prevalence \_\_\_\_\_ * as more people die from disease, prevalence \_\_\_\_\_
* as incidence increases, prevalence **increases** * as # of people cured increases, prevalence **decreases** * as # of people that survive increases, prevalence **increases** * as more people die from disease, prevalence **decreases**
33
an event/condition/characteristic that preceded disease onset and that, had the event/condition/characteristic been different, the disease would not have occurred at all or would not have occurred until some time later
cause
34
measures public health impact of an exposure (difference in measures)
absolute measure of comparison
35
measures strength of relationship of 2 factors (ratio of measures)
relative measure of comparison
36
difference in rate of occurrence of disease due to exposure
risk/rate difference
37
what is the formula for risk/rate difference?
RD = riskexposed - riskunexposed
38
what does risk difference (RD) = 0 mean?
* risk in exposed = risk in unexposed * no increased risk attributed to exposure
39
what does risk difference (RD) \> 0 mean?
* risk in exposed is greater than risk in non-exposed * excess risk attributed to exposure
40
what does risk difference (RD) \< 0 mean?
* risk in exposed is less than risk in exposed * decreased risk attributed to exposure ("protective\*)
41
risk of disease in exposed compared to risk of disease in unexposed
risk/rate ratio (RR) aka as relative risk
42
what is the formula for risk/rate ratio (relative risk)?
RR = Rexposed / Runexposed
43
what does it mean when relative risk (RR) = 1?
* risk in exposed is the same as risk in unexposed * there is no association b/w disease and exposure
44
what does it mean when relative risk (RR) \> 1?
* risk in exposed is greater than risk in unexposed * there is a positive association b/w 2 factors
45
what does it mean when relative risk (RR) \< 1?
* risk in exposed is lesser than risk in unexposed * there is a negative association b/w 2 factors
46
what are the advantages and disadvantages of using an absolute measurement (ie. risk difference)?
**advantages:** * public health impact * absolute change measured **disadvantage:** * less commonly used
47
what are the advantages and disadvantages of using a relative measurement (ie. relative risk)?
**advantages:** * can measure strength of association * commonly used **disadvantage:** * hard to interpret
48
what is the 2-step process epidemiologists use when approaching causation?
1. assessing whether observation is valid or true 2. causal inference
49
what are the essential attributes of true causes?
**association:** cause (X) must occur together with effect (Y) **time order:** cause must precede the effect (time periods can be short or long) **directionality:** asymmetrical relationship b/w cause and effect (want X to cause Y but don't want Y to cause X)
50
focuses on the origins of the web of causation, including social, political, and economic determinants of health instead of individual-level determinants
ecosocial framework
51
a complete causal mechanism that inevitably causes disease
sufficient cause
52
each participating factor in a sufficient cause
component cause
53
a causal component that it is a member of **every** sufficient cause
necessary cause
54
what are the key attributes of a sufficient-component cause model?
* blocking action of one component stops completion of sufficient cause (just need to know one to prevent disease) * completion of sufficient cause leads to biological onset of disease * component causes may act far apart in time
55
level of prevention that aims to prevent disease from occurring and reduce incidence
primary prevention
56
level of prevention that delays onset and duration of clinical disease and aims to improve survival
secondary prevention
57
level of prevention that slow disease progression and aims to improve survival
tertiary prevention
58
why is a clear research question important?
formulating research questions precisely enables you to design a study with a good chance of answering them
59
what is the **PICO** framework for research questions?
**Population:** sample of participants in study **Intervention:** treatment provided to participants **Comparison:** reference group used to compare with intervention **Outcome:** measure used to examine treatment effectiveness
60
what is the **PECO** framework for research questions?
**P:** population of interest **E:** exposure level of participants **C:** reference group used to compare with exposure **O:** measure used to examine effects of exposure
61
aims to collect **valid** and **precise** info about causes, prevention, and treatment of disease (to determine relationship b/w exposure and disease)
analytic epidemiological research
62
experimental vs. observational studies: PICO or PECO?
* experimental studies follow **PICO framework** * observational studies follow **PECO framework/PO** (population outcome)
63
what are the different directions for observational studies?
**cohort study:** when looking at exposure BEFORE outcome **case-control study:** when looking at exposure AFTER outcome (look at outcome first then exposure) **cross-sectional study:** when exposure and outcome are looked at at the same time
64
when the investigator actively manipulates which groups receive the agent under study
experimental studies
65
ensures that known and unknown potential confounders are equally distributed among groups and that they have similar baseline characteristics
randomization
66
what are some advantages of RCTs?
* prospective * randomization * clear temporal sequence * strong evidence for causation
67
what are some disadvantages of RCTs?
* contrived situation; might not reflect real world consequences * ethical restraints * human behaviour may be difficult to control * exclusions may limit generalizability * expensive to conduct
68
when the investigator passively observes as nature takes its course
observational studies
69
makes causal inferences about the association b/w exposure and disease
observational studies
70
examines the relationship b/w exposure status and disease status at the same time for each subject
cross-sectional studies
71
what are some advantages of cross-sectional studies?
* inexpensive * quick to conduct
72
what are some disadvantages of cross-sectional studies?
* may exclude those with disease who died before study began * cannot establish temporality of relationship
73
type of study that examines multiple health effects of an exposure
cohort studies
74
when subjects are defined according to their exposure levels and followed for disease occurrence over time
cohort studies
75
any designated group of persons who are followed or traced over a period of time
cohort
76
a study where the cohort is assembled at present time and followed toward future (study initiated before outcomes occur)
prospective cohort study
77
a study where the cohort is assembled in the past using existing records and is "followed" to present time (study initiated after outcomes occur)
retrospective/historical cohort study
78
a combination of a prospective and retrospective cohort study
ambidirectional cohort study
79
what are some similarities b/w cohort studies and RCTs?
* both can compare 2 or more exposure groups * both follow subjects to monitor outcomes * both can monitor more than one outcome * select groups for comparability
80
what are the major differences in an RCT vs. a cohort study?
* researcher allocates exposure * randomization of exposure status to groups * can use placebo and masking/blinding
81
* interval b/w action of exposure and disease onset * time required for a specific cause to produce an outcome
induction period eg. how long does it take for smoking to cause lung cancer?
82
* interval b/w disease onset and clinical diagnosis * the time b/w the disease's first presence and its recognition
latent period eg. how long after someone develops lung cancer do they start showing clinical symptoms?
83
what are some advantages of cohort studies?
* temporality established (exposure precedes outcome) * establishes incidence of disease * quality control measures can be implemented (prospective) * inexpensive and fast to conduct (retrospective)
84
what are some disadvantages of cohort studies?
* expensive when outcome is rare or follow-up is long (prospective) * maintaining participation is difficult/loss to follow-up (prospective) * quality of data poor; rely only on available info (retrospective)
85
where data is originally collected
data source
86
when original data is collected for a specific purpose by or for an investigator
prospective data
87
existing data that was recorded for another purpose
retrospective data (secondary use)
88
captures demographic info on all individuals who received a HC # in Ontario (updates addresses)
Registered Persons Database (RPDB)
89
arises from a systematic difference in the way that the exposure or outcome is measured b/w compared groups; results in different accuracy of info b/w comparison groups
information bias
90
systematic differences b/w study groups in terms of accuracy or completeness of recall of past events
recall bias
91
systematic difference in soliciting, recording, or interpreting info involving interviewers
interviewer/observer bias
92
probability that test correctly classifies positive individuals who have pre-clinical disease
sensitivity
93
probability that test correctly classifies individuals w/o pre-clinical disease as negative
specificity
94
proportion of individuals with a positive test who have preclinical disease
positive predictor value (PPV) (↑ prevalence= ↑ PPV)
95
proportion of individuals w/o preclinical disease who test negative
negative predictor value (NPV) (↑ prevalence= ↓ NPV)
96
when a test has an extremely high **Sp**ecificity, a **P**ositive results tends to rule **in** the diagnosis
SpPin
97
when a test has an extremely high **S**e**n**sitivity, a **N**egative result rules **out** the diagnosis
SnNout
98
how to address information bias?
* comprehensive questions to improve recall and self-reporting (eg. close-ended questions) * standardized questionnaires, mask interviewer (if possible) * self-administered questions * validate data with another source
99
* consistency b/w repeated measurement * repeatability or reproducibility of a test (get the same results everytime)
reliability
100
the degree to which a variable represents what its intended to represent
validity
101
* the degree to which study results are true for people being studied * validity of comparisons made w/in the study
internal validity
102
* probability that observed result is due to chance * directly related to sample size * variability in data that can't be explained by the design or still remains after systematic error is eliminated
random error
103
occurs when there is a systematic difference b/w individuals included in the study and individuals not included in the study (during selection and follow-up of participants)
selection bias
104
* mixing of effects b/w exposure, outcome, and a 3rd variable (another exposure) * effects of the 2 exposure cannot be separated
confounding
105
bias can affect the _____ of a study
bias can affect the **INTERNAL VALIDITY** of a study
106
errors that results from procedures used to select subjects and from factors that influence participation in the study
selection bias
107
* comes from selecting study subjects from a larger population * extent to which results are generalizable/applicable to another study population
external validity (generalizability)
108
what are the major sources of information bias?
* recall bias * interviewer/observer bias
109
what are the 3 key characteristics of confounders?
* must be associated with exposure * must be a risk factor for the outcome * must not be an intermediate step in the causal pathways b/w exposure and disease
110
how can we control for confounding?
at the design stage: * randomization * restriction * matching at the analysis stage: * standardization * stratification * matched analysis (for case-control studies) * multivariate analysis
111
when subjects with identical (or near identical) characteristics are selected across compared groups
matching
112
separating study population into homogenous categories of a confounder
stratification eg. everyone's a smoker in the smoker stratum
113
mathematical model that can control for multiple confounders simultaneously
multivariate analysis