Epidemiology – Quiz 2 – Flashcards

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Define : association:
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statistical dependence between 2 or more events, characteristics of other variables
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Define/title of following image:
Define/title of following image:
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web of causation
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What is a graphic, or representation of complex sets of events or conditions caused by an array of activities connected to a common core or common experience or event:
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web of causation
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What is something that increases the chances of getting a disease?
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risk factor
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What is a behaviour that puts you at risk for a bad consequence?
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at risk behaviour
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What is a conclusion about the presence of a health-related state or event and reason for its existence:
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causal inference
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What are factors or conditions already present that produce a susceptibility or disposition in a host to a disease or condition without really causing it:
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predisposing factors
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(T/F) No way to prove causal associations for most chronic disease and conditions
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True
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(T/F) Causal inference is a simple process:
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False
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Define Biologic gradient:
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evidence of dose-response relationship; an increased amount of exposure leads to increased risk of developing disease
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Biologic gradient in relation to exposure is related to what?
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the evidence of a does-response relationship
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What is the significance of Temporal Sequence?
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- exposure must precede disease - in diseases with latency periods, exposures must precede the latent period - in chronic diseases, often need long-term exposure for disease induction
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Cite the difference between Positive reinforcing factors and Negative reinforcing factors:
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- Positive: support, enhance, and improve the control and prevention of the causation of the disease - Negative: factors that help aggravate and perpetuate disease, conditions, disability or death
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Cite the difference between Direct and Indirect causal associations with an example for each:
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1. Direct causal association: no intermediate factor and is more obvious; eliminating the exposure will remove adverse health outcomes. (ex: exposure to staphy. pathogens result in illness) 2. Indirect causal association: involves 1 or more intevening factors; often much more complicated. (ex: high fat diet is associated with polyps, and polyps are associated with colon cancer)
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Members of households of a person with TB don't uniformly acquire the disease from the index case. Cite 3 factors which could affect the occurrence of infection:
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- immune status - genetic susceptibility - exposure dose
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Why is it important for us to be able to distinguish between an association due to a causal relationship and an association due to confounding (non-causal)?
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Answer: it makes a tremendous difference from both clinical and public health standpoints. If the relationship is causal: will succeed in reducing the risk of CHD if we lower cholesterol levels If relationship is due to confounding: then the increased risk of CHD is caused by factor X. Therefore, changes in the level of serum cholesterol will have no effect on the risk of CHD
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Comment on the following graph and cite 3 possible findings (% of distribution by birth weight of infants of mothers who did not smoke during pregnancy vs. those that did)
Comment on the following graph and cite 3 possible findings (% of distribution by birth weight of infants of mothers who did not smoke during pregnancy vs. those that did)
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- entire weight distribution curve is shifte left in babies born to smokers - reduction in birth weight is not a result of shorter pregnancies - babies of smokers are smaller than those of non-smoker at each gestation age
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Cite the types of causal associations:
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1. Direct causal associations: no intermediate factor and is more obvious ; eliminating the exposure will eliminate the adverse outcome 2. Indirect causal associations: involves 1 or more intervening factors ; often much more complicated; many risk factors
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Cite the difference between necessary and sufficient causes:
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1. necessary = an exposure that is required for a certain outcome to happen ; is always associated with that outcome 2. sufficient = exposure that by itself will produce a particular outcome, but it may not be the only cause of outcome. So, the outcome may occur without the exposure if it is also caused by other exposures
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Define: Necessary AND sufficient cause:
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a factor is both necessary and sufficient for producing the disease ex: lead exposure = lead poisoning
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Define: necessary but not sufficient cause:
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each factor is necessary but not, in itself, sufficient to cause the disease; multiple factors are needed ex: alcoholism
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Define: sufficient but not necessary causes:
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factor is not required to produce a specified outcome BUT when present, is able to cause the outcome by itself. Means that there are other causes of outcome ex: exposure X = outcome Y exposure Z ALSO = outcome Y
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Define: neither sufficient nor necessary causes:
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a cause that isn't required to produce the outcome and when present is not able to cause the outcome by itself; hence there are other causes of the specified disease
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How can we measure the strength of an association?
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- odds ratio - risk ratio
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(T/F) epidemiology determines the cause of a disease in a given individual:
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False
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(T/F) epidemiology determines the relationship or association between a given exposure and frequency of disease in populations
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True
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Cite the difference between causal inference and statistical inference:
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1. Causal inference: provides scientific basis for medical and public health action; not a simple process; needs judgement and interpretation 2. Statistical inference: use of info from a sample to draw conclusions about the population from which sample was taken
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John Stuart formed 3 methods of hypothesis formulation in disease etiology. What are they:
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- method of difference - method of agreement - method of concomitant variation
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Define Temporality:
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exposure must precede disease
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Importance of temporality with an example (asbestos and lung CA)
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- clarifying the order in which Exposure and disease occur - the length of the interval between the E and D ex: asbestos linked to increased risk of lung cancer BUT latent period between the exposure and appearance of lung can at least 20years
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Define Biological gradient:
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dose-response relationship (increase amount of exposure with increase risk of disease)
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Cite an example that shows the importance of coherence in difference epidemiologic patterns:
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presence of serological ____________ of Hep. B infection is associated with greatly increase rates of liver cancer. Those who have liver cancer have the genome for Hep. B
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Define Specificity:
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an exposure is associated with only one disease, or the disease is associated with only one exposure
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Match the following letters with numbers: a. attack rate b. person-time rate c. Berkson's bias d. healthy worker effect 1. incidence density 2. results in biases RR 3. results in underestimation of OR 4. cumulative incidence rate
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a = 4 b = 1 c = 3 d = 2
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Which of the following is not a type of selection bias: a. health worker effect b. loss to follow-up c. Neyman bias d. all of the above are types of selection bias in cohort studies
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c - neyman bias
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Which of the following is the most time consuming and costly study design? a. case control b. retrospective cohort c. prospective cohort d. cross-sectional
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c - prospective cohort
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A valid statistical association in any analutical study design requires consideration of confounding. What is confounding?
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when an extrinsic factor influcences the disease outcome, and independent of that relationship, also influences the exposure affects both exposure and disease outcome
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(T/F) Establishing a valid statistical association is a necessary part of establishing a cause-effect relationship
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True
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(Chance/Bias/Confounding) A case-control study showed that a strong negative association existed between exercise and heart disease
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confounding
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(Chance/Bias/Confounding) A case-control study found a positive association between self-reported alcohol use during pregnancy and fetal alcohol syndrome
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bias
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(Chance/Bias/Confounding) A randomized clinical trial measured the association between found that drug A versus placebo did not significantly improve 10 year survival
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chance
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(Chance/Bias/Confounding) A cohort study found no statistical association between smoking and coronary heart disease (RR=1)
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chance
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(Chance/Bias/Confounding) The interviewer in a case-control study assumed that an association existed between alcohol consumption and MI. She was aware of whether individuals in the study had MI or not
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bias
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Match the following (letter with numbers): a. blind b. increase sample size c. randomize 1. a way to control for confounding 2. a way to control for bias 3. a way to control for a chance finding
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a = 2 b = 3 c = 1
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A precipitating factor is best defined as what?
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factors essential to the development of disease, conditions, injuries, disability and death
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Match the following (letters with numbers) 1. method of difference 2. method of agreement 3. method of concomitant variation a. increased number of children not immunized against measles causes the incidence rate for measles to go up b. valley fever occurs only in the deserts of the southwestern US c. increasing trends in cigarette smoking is directly associated with increasing trends in lung CA in many diff. places in world
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1 = b 2 = c 3 = a
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Which of the following is the best for establishing temporality? a. cross-sectional b. ecologic c- case-control d. experimental e. none of the above
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e. none of the above
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Define random error:
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an error defined as the deviation of the total error from its average value (mean)
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In contrast to systematic errors, the effect of the random errors may be reduced by ........... ?
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repitition of the experiment/observation and averaging the outcomes
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_________________________________________________ is how close a number of measurements of the same quantity agree with each other, while ________________________________________________________ is how close the measurement is to the true value of the quantity being measured
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- the precision of measurement - the accuracy of measurement
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_____________________________ - a random error appearing to cause an association between an exposure and an outcome
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chance
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chance is caused by ____________________________ and it leads to _________________________
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- random error - unprecise results
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The best way to avoid error due to random variation is ___________________________________________________________
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to increase the sample size
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Avoiding bias at the design stage of a study is paramount because of the difficulty to ________________________________________________________________
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identify and account for it there after
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CIte the types of bias:
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- selection bias - observational bias - confounding bias
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A bias that results from selection of subjects into the sample or their allocation to treatment group producing a sample that is not representative of the population, or treatment groups that are systematically different
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selection bias
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a phenomenon initially observed in studies of occupational diseases: workers usually exhibit lower overall death rates thatn the general populations because severly ill and chronically disabled are ordinarily exclded from employment
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healthy workers effect
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a type of bias that results when cases and/or controls are recruited from hospital patients
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Berksonian bias
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systematic differences in the way subjects remember or report exposures or outcomes
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recall bias
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an interviewer's knowledge may influence the structure of questions and the manner of presentation which may influence responses
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interviewer bias
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Define: loss to follow up:
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those that are lost to follow up, or who withdraw from the study may be different from thsoe who are followed for the entire study
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Define: Hawthorne effect:
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an effect first documented at a Hawthorne manufacturing plant; people act differently when they know that they are being watched
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Controls for confounding may be built into _____________________________ or ___________________________ of a study
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- the design - analysis stages
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What are the aspects of design stage:
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- randomization (for experimental studies) - restriction (allow only those into the study who fit into narrow band of a potentially confounding variable) - matching (match cases and controls on the basis of the potential confounding variables - especially age and gender)
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There are 2 kinds of analysis stage:
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1. Stratification: the process of grouping members of the population into relatively homogenous subgroups before sampling 2. Multivariate analysis: a generic term for any statistical technique used to analyze data from more than one variable
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Cite 2 mechanisms that can produce selection bias:
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1. control selection bias 2. differential loss to follow up bias in a cohort study 3. self-selection bias - refusal to participate
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Recall from participants can be faulty due to:
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a. systematic differences int he way subject remembers exposure and outcomes b. amplification of recollections - difficulty of tracking certain behaviours - reluctance to report embarassing moments
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