In this issue of the Journal, Daniels et al. (1) report an analysis of the
shape of the exposure-response relation between daily concentrations of par
ticulate matter air pollution (PM) and mortality. They provide additional e
pidemiologic evidence of the absence of a population-based "no-effects" thr
eshold level for PM within relevant ranges of exposure. Their results sugge
st that the PM-mortality exposure-response relation is near linear, with mo
rtality risk occurring even at concentrations below current regulatory leve
ls. This analysis is the latest of several important contributions to the l
iterature on particuate matter and mortality by Samet, Zeger, and various c
olleagues.
In the early 1990s, following the publications of several studies that sugg
ested a link between daily mortality and PM pollution at relatively low con
centrations (2-7), Samet and others argued that the findings could not be a
dequately interpreted and they encouraged new studies (8). Samet and Zeger
then led a reanalysis effort (9, 10) that largely replicated the PM-mortali
ty associations observed in selected early studies while refining and contr
ibuting to applicable statistical methodologies. Most recently they, along
with Dominici and others, have been developing approaches to incorporate mu
ltiple cities in a comprehensive analysis of daily time-series mortality an
d air pollution in the United States (11, 12). They have provided insights
relating to the consistency of the observed PM-mortality associations (13),
the importance of mortality displacement (or harvesting) (14), issues rega
rding measurement error (15), alternative ways to control for weather varia
bles (10), and now the shape of the exposure-response relation (1).
While this excellent work represents an important contribution, it does not
stand alone. This commentary provides some context and perspective with re
spect to the development of the epidemiologic literature and the public hea
lth relevance of these findings.