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. Author manuscript; available in PMC: 2022 Sep 1.
Published in final edited form as: Environ Int. 2022 Jul 16;167:107416. doi: 10.1016/j.envint.2022.107416

Fig. 1.

Fig. 1.

The effect of an IQR increase in air pollution and neighborhood socio-economic status (nSES) exposures on ln(CFI) score. Air pollution exposure measurements were taken from the CMAQ chemical transport model in 2008–2010, and neighborhood socio-economic status exposures are census tract averages from 2013 to 2018. Median home value was multiplied by −1 so that a high value was the same nSES direction as other nSES characteristics. A. Lasso regression co-efficients (βLASSO) of air pollutants and nSES characteristics adjusted for individual age, race/ethnicity, education, and residential stability of the census tract. B. Linear regression models were adjusted for individual age, race/ethnicity, education, and residential stability of the census tract, air pollution exposure models were additionally adjusted for principal components of nSES characteristics and nSES clusters. C. Quantile-Based g-computation weights, census tract matched air pollutant measurements. Bar lengths are comparable in magnitude among each side only. Orange bars represent air pollutants while blue bars represent nSES characteristics.