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PRINCIPLES OF TOXICOLOGY

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518 EPIDEMIOLOGIC ISSUES IN OCCUPATIONAL AND ENVIRONMENTAL HEALTH<br />

TABLE 21.4 Incidence Data: Rate Ratio and Rate Difference<br />

Disease<br />

+ –<br />

+ A B<br />

Exposure<br />

– C D<br />

Incidence of disease in exposed population = A/PY (person-year)<br />

Incidence of disease in unexposed population = C/PY<br />

Rate ratio = A/PY divided by C/PY<br />

Rate difference = (A/PY – C/Py)<br />

rate that is not due to the exposure. Therefore, standardization for age is necessary prior to making<br />

comparisons of the cancer rates between the two different populations.<br />

A variation on the SRR used extensively in Occupational Epidemiology is the standardized<br />

mortality ratio (SMR) with regard to mortality or standardized morbidity ratio with regard to morbidity.<br />

First, the person years of exposure in the study group are multiplied times the rate of death from<br />

a particular disease in the reference or standard population (i.e., number of cases/number of<br />

persons in the standard population/year) to generate an expected number of cases of death from<br />

the disease. The SMR is the number of cases of death in the study population divided by the<br />

number of cases expected from the standard population (SMR = observed/expected × 100). In the<br />

example described above, the incidence rate of lung cancer in worker populations without asbestos<br />

exposure is 1/1000 workers/year while the rate of lung cancer in an asbestos-exposed population<br />

is 4/1000 workers/year with 1000 person-years. The expected number of lung cancer cases in the<br />

exposed worker group, using the unexposed worker population as the reference or standard<br />

population, is 1 (i.e., 1000 person-years × 1/1000 per year). Therefore, the SMR for lung cancer<br />

with asbestos exposure would be 4/1 × 100 or 400. A SMR greater than or less than 100 indicates<br />

increased or decreased risk of disease. SMRs and SRRs can be tested for statistical significance<br />

using the χ 2 test and a confidence interval.<br />

In occupational epidemiologic studies, the proportional mortality ratio (PMR) is frequently used<br />

to measure the risk or association between exposure and disease. The PMR is used in settings when<br />

only the population and the cause of death (or disease) are known, not the number of person-years of<br />

exposure. In a PMR study, the expected number of deaths due to a particular disease is computed using<br />

the proportion of these deaths in a standard population (such as the general population), rather than<br />

the death rate as in the SMR study. The PMR study results approximate those of a SMR study when<br />

the particular cause of death is relatively uncommon. A PMR greater than or less than 100 indicates<br />

an increased or decreased risk of disease or death.<br />

In case–control studies, the total number and proportions of persons with and without a disease are<br />

defined by the study design, rather than the true proportions in the total population. As such, usually<br />

true rates of disease cannot be derived in case–control studies. Therefore, the rate ratio is not an<br />

appropriate measure of risk; the odds ratio is used as an approximation of the rate ratio for the risk of<br />

disease associated with exposure (Table 21.5). An odds ratio greater than or less than 1 indicates an<br />

TABLE 21.5 Case–Control Data: Odds Ratio<br />

Disease<br />

+ –<br />

+ A B<br />

Exposure<br />

–<br />

Rate ratio = odds ratio = AD/BC<br />

C D

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