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. 2023 Jun 26;11:1002597. doi: 10.3389/fpubh.2023.1002597

Table 3.

Spatial error regression model adjusting for demographic covariates and continuous smoking prevalence.

SEM
Univariate Stepwise
Est (95% CI) P-value Est (95% CI) P-value
Air Toxics Hazard Score
[0] Ref -- Ref --
Low, [0–1] 12.09 (6.56, 17.62) <0.001 7.49 (2.19, 12.79) 0.006
High, [1–10] 17.89 (8.65, 27.14) <0.001 11.42 (2.36, 20.47) 0.013
Hispanic (%) −0.42 (−0.76, −0.08) 0.016
High school or less (%) 0.28 (0.01, 0.54) 0.043
Population density (100 ppL per sq. mile) 0.06 (−0.00, 0.11) 0.050
Smoking prevalence (%) 1.50 (0.41, 2.59) 0.007
Distance to major highway (km)
≤5 km −3.82 (−5.78, −1.86) <0.001
>5 km 0.59 (−3.55, 4.72) 0.781
Lambda 0.62 (0.49, 0.75) <0.001 0.32 (0.11, 0.47) 0.004
Model Statistics
Log likelihood −932.72 −907.72
R-squared 0.350 0.487
AIC 1875.4 1835.4
Moran’s Index −0.054 0.868 −0.017 0.613

Est, regression coefficient estimates; ppl, people. P-values < 0.05 were bolded.