For example, in a study presented in Chapter 16 of Epidemiology For Dummies by Amal K. Mitra
(Wiley), the experimental unit is a country, and 15 countries were included in the analysis. The
exposure being investigated is fat intake from diet (which was operationalized as average saturated fat
intake as a percentage of energy in the diet). The outcome was deaths from coronary heart disease
(CHD), operationalized as 50-year CHD deaths per 1,000 person-years (see Chapter 15 for more
about rates in person-years). Figure 7-3 presents the results in the form of a scatter plot.
© John Wiley & Sons, Inc.
FIGURE 7-3: Ecologic study results.
As shown in Figure 7-3, the country’s average value of the outcome (rate of CHD deaths) is plotted on
the y-axis because it’s the outcome. The exposure, average dietary fat intake for the country, is plotted
on the x-axis. The 15 countries in the study are plotted according to their x-y coordinates. Notice that
the United States is in the upper-right quadrant of the scatter plot because it has high rates of both the
exposure and outcome. The strong, positive value of correlation coefficient r (which is 0.92) indicates
that there is a strong positive bivariate association between the exposure and outcome, which is weak
evidence for causality (flip to Chapter 15 for more on correlation).
But the problem with ecologic studies is that the experimental unit is a whole population —
not an individual. What if the individuals in the United States who ate low-fat diets were actually
the ones to die of CHD? And what if the ones who ate high-fat diets were more likely to die of
something else? Attributing the behavior of a group to an individual is called the ecologic
fallacy, and can be a problem with interpreting results like the ones shown in Figure 7-3.
That is why we also have cross-sectional studies, where the experimental unit is an individual, not a
population. A cross-sectional study takes measurements of individuals at one point in time — either
through an in-person hands-on examination, or by survey (over the phone, Internet, or in person). The