Quick Answer: What Is An Example Of A Cross Sectional Study?

What is a cross sectional study?

A cross-sectional study examines the relationship between disease (or other health related state) and other variables of interest as they exist in a defined population at a single point in time or over a short period of time (e.g.

calendar year)..

How do you identify a cross sectional study?

The defining feature of a cross-sectional study is that it can compare different population groups at a single point in time. Think of it in terms of taking a snapshot. Findings are drawn from whatever fits into the frame.

What are the advantages of a cross sectional study?

The advantages of cross-sectional study include:Used to prove and/or disprove assumptions.Not costly to perform and does not require a lot of time.Captures a specific point in time.Contains multiple variables at the time of the data snapshot.The data can be used for various types of research.More items…

What are the 3 major types of epidemiologic studies?

Three major types of epidemiologic studies are cohort, case-control, and cross-sectional studies (study designs are discussed in more detail in IOM, 2000). A cohort, or longitudinal, study follows a defined group over time.

How do you identify a cohort study?

The cohort study design is the best available scientific method for measuring the effects of a suspected risk factor. In a prospective cohort study, researchers raise a question and form a hypothesis about what might cause a disease. Then they observe a group of people, known as the cohort, over a period of time.

Is cross sectional study qualitative?

Cross-sectional designs often collect data using survey questionnaires or structured interviews involving human respondents as the primary units of analysis. … Although the majority of cross-sectional studies is quantitative, cross-sectional designs can be also be qualitative or mixed-method in their design.

Is cross sectional a cohort study?

Cohort studies are used to study incidence, causes, and prognosis. Because they measure events in chronological order they can be used to distinguish between cause and effect. Cross sectional studies are used to determine prevalence.

Why are cross sectional studies bad?

Non-response is a particular problem affecting cross-sectional studies and can result in bias of the measures of outcome. This is a particular problem when the characteristics of non-responders differ from responders. Recall bias can occur if the study asks participants about past exposures.

What level is a cross sectional study?

Cross sectional study designs and case series form the lowest level of the aetiology hierarchy. In the cross sectional design, data concerning each subject is often recorded at one point in time.

What are the limitations of cross sectional studies?

However, it is important to be aware of the predictive limitations of cross-sectional studies: “the primary limitation of the cross-sectional study design is that because the exposure and outcome are simultaneously assessed, there is generally no evidence of a temporal relationship between exposure and outcome.”

What is a well known issue with cross sectional methodology?

What is a well-known issue with cross-sectional methodology? the possibility that differences in childhood social environment is determining differences between age groups.

When would you use a cross sectional study?

Cross-sectional designs are used for population-based surveys and to assess the prevalence of diseases in clinic-based samples. These studies can usually be conducted relatively faster and are inexpensive. They may be conducted either before planning a cohort study or a baseline in a cohort study.

What is cross sectional area?

The cross-sectional area is the area of a two-dimensional shape that is obtained when a three-dimensional object – such as a cylinder – is sliced perpendicular to some specified axis at a point. … For example, the cross-section of a cylinder – when sliced parallel to its base – is a circle.

Is cross sectional study a research design?

A cross-sectional study is a type of research design in which you collect data from many different individuals at a single point in time. In cross-sectional research, you observe variables without influencing them.

What is an example of cross sectional data?

For example, if we want to measure current obesity levels in a population, we could draw a sample of 1,000 people randomly from that population (also known as a cross section of that population), measure their weight and height, and calculate what percentage of that sample is categorized as obese. …

What are the 3 types of observational study?

Three types of observational studies include cohort studies, case-control studies, and cross-sectional studies (Figure 1).