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Cohort study

 
Statistics Dictionary: cohort study

A longitudinal study of the same group of people (the cohort) over time. By contrast with a panel study, different members of the cohort may be studied at each time point. Usually the members of a cohort are of approximately the same age — for example, all those with 21st birthdays during the year 2000.



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Food and Nutrition: cohort study
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Systematic follow-up of a group of people for a defined period of time or until a specified event—also known as longitudinal or prospective study.

Dental Dictionary: cohort study
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n

A scientific study that focuses on a specific subpopulation, such as children born on a certain date in a specific environment.

In the analytic method of epidemiological study called a cohort study, subsets of a defined population are identified and categorized on the basis of exposure to known levels of a risk factor that is believed to be associated with a disease outcome such as coronary heart disease or cancer. The numbers of persons in the total population and the numbers in each subset are known. All are followed over a period, usually years or even decades, and the disease outcomes are recorded and counted at specified periods. These outcomes may be the incidence of diagnosed disease, and/or deaths certified due to the disease being studied, as well as deaths due to other causes. The total numbers, or the number of person-years of observation, must be large enough to generate stable rates, so that the rates can be compared in subsets of the total population that have been exposed to different levels of risk. Hypotheses about causes and risk factors for disease are tested by comparing incidence and/or mortality rates of groups exposed to different levels of risk. This is a more powerful observational method of epidemiological study than a case-control study, but as the above account makes clear, it is a major undertaking, involving prolonged study of very large numbers. Cohort studies require considerable logistical support that must be maintained over a long period, often for many years or even decades. They are also expensive and require a large, dedicated staff. For these reasons, cohort studies are undertaken only when the investigators have good evidence to support their working hypothesis.

The effort and expense required to conduct cohort studies have been justified by the results of several well-known studies. One of these is the Framingham study, which began in 1948 and still continues. It is a study of samples of the population of Framingham, Massachusetts, in which several risk factors associated with coronary heart disease, other cardiovascular diseases, and more recently, several other chronic diseases, have been assessed. This and several other cohort studies have clarified our understanding of the principal risk factors for coronary heart disease, such as elevated serum lipids, high blood pressure, and cigarette smoking. Other well-known cohort studies include the long-term follow-up of a cohort of male British doctors who were first asked about their smoking habits in 1951. After 20 years, the death rates from lung cancer, other respiratory system cancers, chronic obstructive lung disease, and coronary heart disease all showed significant differences related to smoking habits among this large cohort (Doll and Peto 1976).

Several cohort studies of cancer risks associated with exposure to ionizing radiation have made use of existing data to shorten considerably the many years of observation that would otherwise be required to demonstrate and measure levels of risk. This has been made possible by the existence of good medical records of past diagnostic X-rays that exposed people to low doses of radiation. After case-control studies had revealed evidence suggesting that the use of diagnostic X-rays during pregnancy might increase the risk of cancer in childhood, several cohort studies were set up to confirm or refute this evidence. MacMahon and others used the medical records of over three quarters of a million women in New England to determine the amount of diagnostic radiation to which they had been exposed during pregnancy, and ascertained the incidence and mortality rates from leukemia and other cancers, including cancers of the brain, bone, and kidney, in the first eight to ten years of their children's lives. They found a significantly higher rate among children who had been prenatally exposed to small doses of diagnostic X-rays, and also observed a dose-response relationship, meaning that there were higher rates among children whose mothers had two or more X-rays than in children whose mothers had only one X-ray. This method is known as an historical cohort study. Other historical cohort studies have shown that repeated chest X-rays (or fluoroscopic screenings) increase the risk of breast cancer many years later.

A by-product of cohort studies is the use of some of the persons studied to conduct one or more case-control studies that are "nested" within the total cohort population. This has the advantage of offering a more rapid answer to questions that have arisen in the course of the cohort study, and also eliminates some of the common biases, such as differential recall of relevant facts by cases and controls, encountered in other varieties of case-control study.

As noted above, cohort studies are more powerful than case-control studies but they have some disadvantages. Strengths include the following: complete data on cases, stages, exposures; can study more than one effect of exposure; can calculate and compare rates and risks; choice of factors available for study; quality control of data; can accommodate "nested" case-control study. Weaknesses include the following: must study large numbers; usually takes many years, even decades; circumstances may change during study; expensive in money, skilled staff required; incomplete control of extraneous factors; rarely possible to study disease mechanism.

Cohort studies are sometimes called prospective or longitudinal studies. It is important to emphasize that a cohort study, like a case-control study, is not an experiment, but merely observes the subjects of the study without intervening—except to ask questions or conduct physical examinations and laboratory tests at various intervals. Obviously, the informed consent of all participants must be obtained, and in cohort studies of very long duration it is usually necessary to obtain informed consent before each subsequent phase of the study.

The analysis of results is generally a simple matter of calculating and comparing rates, which are commonly expressed in terms of person-years of observation—if one person is observed for ten years, this is ten person-years of observation; two years observation of five persons is also ten-person years. The use of person-years is a convenient way to generate larger numbers for calculation of rates that are more stable than with smaller numbers.

(SEE ALSO: Case-Control Study; Cross-Sectional Study; Epidemiology; Mortality Rates)

Bibliography

Breslow, N. E., and Day, N. E. (1987). Statistical Methods in Cancer Research, Vol. 2: The Design and Analysis of Cohort Studies. Lyon: International Agency for Research on Cancer.

Doll R., and Peto, R. (1976). "Mortality in Relation to Smoking: 20 Years Observations of Male British Doctors." British Medical Journal 2:1525–1536.

Kelsey, J. E.; Whittemore, A. S.; Evans, A. S.; and Thompson, D. (1996). Methods in Observational Epidemiology, 2nd edition. New York: Oxford University Press.

Rothman, K. J., and Greenland, S. (1998). "Cohort Studies." In Modern Epidemiology, 2nd edition, ed. K. J. Rothman and S. Greenland. Philadelphia, PA: Lippincott-Raven.

— JOHN M. LAST



Wikipedia: Cohort study
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A cohort study or panel study is a form of longitudinal study used in medicine, social science and ecology. It is one type of study design and should be compared with a cross-sectional study.

A cohort is a group of people who share a common characteristic or experience within a defined period (e.g., are born, leave school, lose their job, are exposed to a drug or a vaccine, etc.). Thus a group of people who were born on a day or in a particular period, say 1948, form a birth cohort. The comparison group may be the general population from which the cohort is drawn, or it may be another cohort of persons thought to have had little or no exposure to the substance under investigation, but otherwise similar. Alternatively, subgroups within the cohort may be compared with each other.

Contents

Application

In medicine, a cohort study is often undertaken to obtain evidence to try to refute the existence of a suspected association between cause and effect; failure to refute a hypothesis strengthens confidence in it. Crucially, the cohort is identified before the appearance of the disease under investigation. The study groups, so defined, are observed over a period of time to determine the frequency of new incidence of the studied disease among them. The cohort cannot therefore be defined as a group of people who already have the disease. Prospective (longitudinal) cohort studies between exposure and disease strongly aide in studying causal associations, though distinguishing true causality usually requires further corroboration from further experimental trials.

The advantage of prospective cohort study data is the longitudinal observation of the individual through time, and the collection of data at regular intervals, so recall error is reduced. However, cohort studies are expensive to conduct, are sensitive to attrition and take a long follow-up time to generate useful data. Nevertheless, the results that are obtained from long-term cohort studies are of substantially superior quality to retrospective/cross-sectional studies, and cohort studies are considered the gold standard in observational epidemiology. Moreover, cohort studies are informative for efficiently studying a wide-range of exposure-disease associations.

Some cohort studies track groups of children from their birth, and record a wide range of information (exposures) about them. The value of a cohort study depends on the researchers' capacity to stay in touch with all members of the cohort. Some of these studies have continued for decades.

Examples

An example of an epidemiologic question that can be answered by the use of a cohort study is: does exposure to X (say, smoking) correlate with outcome Y (say, lung cancer)? Such a study would recruit a group of smokers and a group of non-smokers (the unexposed group) and follow them for a set period of time and note differences in the incidence of lung cancer between the groups at the end of this time. The groups are matched in terms of many other variables such as economic status and other health status so that the variable being assessed, the independent variable (in this case, smoking) can be isolated as the cause of the dependent variable (in this case, lung cancer).

In this example, a statistically significant increase in the incidence of lung cancer in the smoking group as compared to the non-smoking group is evidence in favor of the hypothesis. However, rare outcomes, such as lung cancer, are generally not studied with the use of a cohort study, but are rather studied with the use of a case-control study.

Shorter term studies are commonly used in medical research as a form of clinical trial, or means to test a particular hypothesis of clinical importance. Such studies typically follow two groups of patients for a period of time and compare an endpoint or outcome measure between the two groups.

Randomized controlled trials, or RCTs are a superior methodology in the hierarchy of evidence, because they limit the potential for bias by randomly assigning one patient pool to an intervention and another patient pool to non-intervention (or placebo). This minimizes the chance that the incidence of confounding variables will differ between the two groups.

Nevertheless, it is sometimes not practical or ethical to perform RCTs to answer a clinical question. To take our example, if we already had reasonable evidence that smoking causes lung cancer then persuading a pool of non-smokers to take up smoking in order to test this hypothesis would generally be considered quite unethical.

An example of a cohort study that has been going on for more than 50 years is the Framingham Heart Study.

The largest cohort study in women is the Nurses' Health Study. Started in 1976, it is tracking over 120,000 nurses and has been analyzed for many different conditions and outcomes.

The largest cohort study in Africa is the Birth to Twenty Study which began in 1990 and tracks a cohort of over 3,000 children born in the weeks following Nelson Mandela's release from prison.

Variations

Retrospective cohort

A "prospective cohort" defines the groups before the study is done, while a "retrospective cohort" does the grouping after the data is collected. Whereas prospective cohorts should be summarized with the relative risk, retrospective cohorts should be summarized with the odds ratio. An example of a retrospective cohort is Long-Term Mortality after Gastric Bypass Surgery.[1]

Nested case-control study

An example of a nested case-control study is Inflammatory markers and the risk of coronary heart disease in men and women, which was a case control analyses extracted from the Framingham Heart Study cohort.[2]

Household panel survey

Household panel surveys are an important sub-type of cohort study. These draw representative samples of households and survey them, following all individuals through time on a usually annual basis. Examples include the US Panel Study on Income Dynamics (since 1968), the German Socio-Economic Panel (since 1984), the British Household Panel Survey (since 1991), the Household, Income and Labour Dynamics in Australia Survey (since 2001) and the European Community Household Panel (1994-2001).

See also

References

  1. ^ Adams TD, Gress RE, Smith SC, et al. (2007). "Long-term mortality after gastric bypass surgery". N. Engl. J. Med. 357 (8): 753–61. doi:10.1056/NEJMoa066603. PMID 17715409. 
  2. ^ Pai JK, Pischon T, Ma J, et al. (2004). "Inflammatory markers and the risk of coronary heart disease in men and women". N. Engl. J. Med. 351 (25): 2599–610. doi:10.1056/NEJMoa040967. PMID 15602020. 

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Statistics Dictionary. A Dictionary of Statistics. Second edition revised. Copyright © Oxford University Press, 2008. All rights reserved.  Read more
Food and Nutrition. A Dictionary of Food and Nutrition. Copyright © 1995, 2003, 2005 by A. E. Bender and D. A. Bender. All rights reserved.  Read more
Dental Dictionary. Mosby's Dental Dictionary. Copyright © 2004 by Elsevier, Inc. All rights reserved.  Read more
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