A reanalysis of fine particulate matter air pollution versus life expectancy in the United States

Figures & data

Table 1. Linear Regression Reanalyses of Change in Life Expectancy vs. Reduction in PM_{2. 5} Concentration in 51 Metropolitan Areas of the United States

	Model with Topeka, Kansas ^‡			Model without Topeka, Kansas ^‡
Data	Y-axis intercept	Reduction in PM2.5 (μg/m^3)	r ^2	Y-axis intercept	Reduction in PM2.5 (μg/m^3)	r ^2
Pope et al. (2009)—Redacted interactive graphics data	2.41 ± 0.25	0.062 ± 0.035	0.061	2.62 ± 0.24	0.035 ± 0.034	0.022
	(p < 0.001)	(p = 0.08)		(p < 0.001)	(p = 0.31)
Pope et al. (2009)—Complete data	2.35 ± 0.25	0.067 ± 0.035	0.071	2.56 ± 0.24	0.040 ± 0.034	0.028
	(p < 0.001)	(p = 0.06)		(p < 0.001)	(p = 0.24)
Note: ^‡Plus-minus values are regression coefficients and standard errors (i.e., ±SE); r ^2 is coefficient of determination.

Figure 1. Change in life expectancy vs. reduction in PM_2.5 concentration with and without Topeka, Kansas as an influential outlier. Data from Pope et al. (2009).

Pope , C.A. , Ezzati , M. and Dockery , D.W. 2009 . Fine-particulate air pollution and life expectancy in the United States . N. Engl. J. Med. , 360 : 376 – 386 .

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