Epidemiological Study Designs Flashcards

1
Q

What is the purpose of epidemiological study designs in public health research?

A

Epidemiological study designs play a crucial role in public health research by investigating the distribution and determinants of diseases within populations, informing disease prevention and control efforts.

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2
Q

Describe the key characteristics of a cohort study.

A

Cohort studies involve identifying a group of individuals free from the outcome of interest (exposed and unexposed) and following them over time to compare the incidence of the outcome between the groups.

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3
Q

What is the difference between a prospective and a retrospective cohort study?

A

Prospective cohort studies follow individuals forward in time from exposure to outcome, while retrospective cohort studies use historical data to assess exposure-outcome relationships.

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4
Q

Explain the concept of follow-up in cohort studies.

A

Follow-up in cohort studies involves tracking study participants over time to ascertain the occurrence of outcomes and assess exposure-outcome relationships.

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5
Q

What are the strengths and limitations of cohort studies?

A

Cohort studies offer advantages such as assessing temporality, establishing temporal sequence, and estimating incidence rates, but they can be resource-intensive, time-consuming, and susceptible to loss to follow-up.

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6
Q

Describe the key characteristics of a case-control study.

A

Case-control studies start with the identification of individuals with the outcome of interest (cases) and those without the outcome (controls) and then retrospectively assess exposure histories to compare the odds of exposure between the groups.

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7
Q

What is the main difference between case-control and cohort studies?

A

The main difference between case-control and cohort studies is the direction of inquiry: case-control studies start with the outcome and look back in time to assess exposure, while cohort studies start with exposure and follow participants forward to assess outcome.

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8
Q

How are cases and controls selected in a case-control study?

A

Cases are individuals who have the outcome of interest, while controls are individuals without the outcome, typically selected from the same population as cases and ideally represent the population at risk of developing the outcome.

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9
Q

What are the strengths and limitations of case-control studies?

A

Case-control studies are advantageous for investigating rare outcomes, require less time and resources compared to cohort studies, but they are susceptible to recall bias, selection bias, and difficulties in establishing temporal sequence.

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10
Q

What is the purpose of odds ratio calculation in case-control studies?

A

Odds ratio calculation in case-control studies allows for the estimation of the strength of association between exposure and outcome by comparing the odds of exposure among cases to the odds of exposure among controls.

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11
Q

Describe the key characteristics of a cross-sectional study.

A

Cross-sectional studies assess exposure and outcome simultaneously at a single point in time within a defined population, providing prevalence estimates and generating hypotheses about potential associations.

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12
Q

What is the primary objective of cross-sectional studies?

A

The primary objective of cross-sectional studies is to describe the prevalence of exposure and outcome variables within a population and identify associations between them.

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13
Q

How are exposure and outcome assessed in cross-sectional studies?

A

Exposure and outcome are assessed concurrently through surveys, interviews, or examinations conducted at a single time point, allowing for the estimation of prevalence and assessment of associations between variables.

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14
Q

What are the strengths and limitations of cross-sectional studies?

A

Cross-sectional studies offer advantages such as providing prevalence estimates, being relatively quick and inexpensive, but they are limited in establishing temporal sequence and causality.

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15
Q

Explain the concept of prevalence in the context of cross-sectional studies.

A

Prevalence in cross-sectional studies refers to the proportion of individuals with a particular characteristic or condition at a specific point in time within a defined population.

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16
Q

Describe the key characteristics of ecological studies.

A

Ecological studies investigate associations between exposure and outcome at the population level rather than the individual level, using aggregate data from groups or communities as the unit of analysis.

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17
Q

What is the unit of analysis in ecological studies?

A

The unit of analysis in ecological studies is typically a group, community, region, or country rather than individuals, and data are often collected from existing sources such as national databases or vital statistics.

18
Q

How are exposure and outcome measured in ecological studies?

A

Exposure and outcome are measured at the group level, such as population-level exposure to a risk factor and population-level disease rates, rather than individual-level exposures and outcomes.

19
Q

What are the strengths and limitations of ecological studies?

A

Ecological studies offer advantages such as being relatively quick and inexpensive, exploring population-level trends, but they are susceptible to ecological fallacy, limited control of confounding, and bias due to aggregate data.

20
Q

Explain the concept of ecologic fallacy in ecological studies.

A

Ecologic fallacy occurs when associations observed at the group level are erroneously assumed to apply to individuals within those groups, leading to incorrect inferences about individual-level relationships.

21
Q

Describe the key characteristics of nested case-control studies.

A

Nested case-control studies are designed within prospective cohort studies, where cases and controls are selected from the cohort, allowing for efficient assessment of exposure-outcome relationships while utilizing existing cohort data.

22
Q

How do nested case-control studies differ from traditional case-control studies?

A

Nested case-control studies differ from traditional case-control studies in that they are embedded within a larger prospective cohort study and utilize pre-existing data and infrastructure for case ascertainment and exposure assessment.

23
Q

What are the advantages of using nested case-control designs?

A

Advantages of nested case-control designs include efficiency, cost-effectiveness, and the ability to control for potential confounders measured at baseline in the parent cohort.

24
Q

Explain the concept of matching in epidemiological studies.

A

Matching in epidemiological studies involves selecting controls that are similar to cases based on certain characteristics such as age, sex, or other potential confounders to reduce bias and improve efficiency.

25
Q

What is the purpose of matching cases and controls in nested case-control studies?

A

Matching cases and controls in nested case-control studies helps ensure comparability between the groups and minimizes bias, allowing for more efficient assessment of exposure-outcome relationships.

26
Q

Describe the key characteristics of case-cohort studies.

A

Case-cohort studies are a variation of cohort studies where cases are identified within a cohort, but controls are sampled from the entire cohort rather than being matched to cases, providing an efficient alternative to nested case-control designs.

27
Q

How do case-cohort studies differ from nested case-control studies?

A

Case-cohort studies differ from nested case-control studies in the selection of controls, with case-cohort studies sampling controls from the entire cohort rather than matching them to cases.

28
Q

What are the advantages and limitations of case-cohort designs?

A

Advantages of case-cohort designs include efficiency, cost-effectiveness, and the ability to assess multiple outcomes using a single cohort sample, but they may have less statistical power compared to nested case-control designs.

29
Q

Explain the concept of surveillance studies in epidemiology.

A

Surveillance studies in epidemiology involve the ongoing systematic collection, analysis, interpretation, and dissemination of health-related data to monitor disease trends, detect outbreaks, and inform public health action.

30
Q

What is the primary objective of surveillance studies?

A

The primary objective of surveillance studies is to provide timely and accurate information about the occurrence and distribution of diseases or health events in populations to guide public health interventions and policies.

31
Q

How are data collected and analyzed in surveillance studies?

A

Data in surveillance studies are collected through various sources such as healthcare facilities, laboratories, registries, and surveys, and are analyzed to identify patterns, trends, and clusters of disease occurrence.

32
Q

What are the challenges associated with conducting surveillance studies?

A

Challenges associated with conducting surveillance studies include ensuring data quality and completeness, maintaining confidentiality and privacy, addressing biases and limitations in data sources, and coordinating multi-sectoral collaboration.

33
Q

Describe the key characteristics of intervention studies in epidemiology.

A

Intervention studies in epidemiology, also known as experimental studies or randomized controlled trials (RCTs), involve implementing specific interventions or treatments to evaluate their effectiveness in preventing or controlling diseases or health conditions.

34
Q

What is the primary objective of intervention studies?

A

The primary objective of intervention studies is to assess the efficacy, safety, and cost-effectiveness of interventions in reducing the incidence, prevalence, or severity of diseases or health outcomes in populations.

35
Q

How are interventions implemented and evaluated in intervention studies?

A

Interventions in intervention studies are implemented according to a predetermined protocol, and outcomes are assessed using standardized measures, with participants randomly assigned to intervention and control groups to minimize bias.

36
Q

What are the strengths and limitations of intervention studies?

A

Advantages of intervention studies include the ability to establish causality, control for confounding variables, and assess the effectiveness of interventions in real-world settings, but they can be resource-intensive and time-consuming.

37
Q

Explain the concept of quasi-experimental designs in epidemiology.

A

Quasi-experimental designs in epidemiology resemble experimental designs but lack randomization of participants to intervention and control groups, making them susceptible to selection bias and confounding.

38
Q

What distinguishes quasi-experimental designs from experimental designs?

A

Quasi-experimental designs differ from experimental designs in that participants are not randomly assigned to intervention and control groups, limiting the ability to establish causality and control for confounding variables.

39
Q

How are confounding variables controlled in quasi-experimental studies?

A

Confounding variables in quasi-experimental studies are controlled using design and analysis strategies such as matching, stratification, and statistical adjustment to minimize bias and improve validity.

40
Q

What are some examples of quasi-experimental designs used in epidemiological research?

A

Examples of quasi-experimental designs used in epidemiological research include interrupted time series, controlled before-and-after studies, and regression discontinuity designs, each with its strengths and limitations.