Major episodes of air pollution, such as the London fog incident in 19
52, have shown conclusively that relatively high levels of particulate
air pollution can Lead to serious adverse health effects, including d
eath. Recent data suggest that exposure to respirable particulates [wi
th an aerodynamic diameter less than or equal to 10 mu m (PM(10))] und
er the current American standard (150 mu g/m(3) for 24 h) is associate
d with increased daily mortality. These results have sparked an intens
e debate regarding the veracity of the reported associations and wheth
er they should be interpreted causally. Most investigators have relied
on a time-series approach to investigate the short-term effects of ai
r pollution on daily mortality. Concerns have been expressed that the
results may vary with the type of statistical methods used and the pot
ential for uncontrolled and residual confounding effects, Of perhaps g
reater importance is that cause-specific mortality, temporal aspects o
f the exposure-disease relationship, and subgroups of the population h
ave not been studied adequately, Under the hypothesis that only person
s with impaired physiologic systems should be at risk, the identificat
ion of susceptible subgroups is of great importance in discerning caus
al mechanisms and in setting public health policies. In this paper, th
e main methodologic issues are discussed and a novel design to identif
y at-risk subgroups is presented.