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Vaccine trials, for example. One population receives the vaccine (an independent variable that the researchers control), the other doesn’t (or is given a placebo to “blind” subjects) and serves as the control group. The groups are compared in terms of how well/if the vaccine works.
Source: CDC/1963 Health workers administering the polio vaccine to children.
This is a hypothetical example of a study where one group of juveniles recovering from substance abuse is treated through in-house drug treatment while the other is not. Study tracks rate of relapse over time.
* Gold standard for proving causation, because you control the variables you’re studying
* Risk factors can be isolated
Studies which describe the FREQUENCY and PATTERNS of occurrence of a condition or factor by time, place, and person – for example, these studies on exercise by U.S. state.
Link: Behavioral Risk Factor Surveillance System CDC
SOURCE: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta: CDC/U.S. Department of Health and Human Services, 2000.
* Can be conducted using widely available data
* Can be conducted on large populations
Disadvantages
* Difficult to infer causation
* Can be expensive and time-consuming
* Susceptible to bias (surveys, for example)
DESCRIPTIVE Studies are used to characterize a health problem and its risk factors. These studies also COMPARE groups of people in terms of changes in health conditions over time, place, and exposure to risk factors.
For example, many organizations keep ongoing statistics on teen pregnancy. They may DESCRIBE the health status (pregnancy) of teen females, and/or COMPARE the RATE of pregnancy for POPULATIONS ( a 1975 group to a 1985 group). They may compare rates to RISK FACTORS (race/ethnicity, socio-economic status, etc.)
A study like the one at right DESCRIBES the health status of a population.
Nearly 1 million teen pregnancies occurred in 1996. To put it another way, more than 100 U.S. teens become pregnant each hour. Forty percent of these pregnancies were to girls under age 18, and 60 percent were to girls aged 18-19.
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