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. 2024 Nov 1;12:1403197. doi: 10.3389/fpubh.2024.1403197

Table 2.

Causal direct correlation (odds ratio and 95% CI) between air pollutants and the morbidity of overweight, obesity, and severe obesitya: RD estimates.b

Variables AQI PM2.5 PM10 SO2 CO NO2 O3
Panel 1: Air pollutants on overweight (d = 2, polynomial = 3)c
OR(OW) 1.109*** 1.173*** 1.053*** 0.972*** 0.986*** 1.052 1.026
95%CI 1.027–1.315 1.094–1.252 1.030–1.076 0.965–0.979 0.980–0.992 0.982–1.092 0.989–1.043
Panel 2: Air pollutants on obesity (d = 2, polynomial = 3)c
OR(OB) 1.032*** 1.022*** 1.008*** 0.997*** 0.998*** 1.000 1.001
95%CI 1.006–1.217 1.016–1.028 1.006–1.010 0.996–0.998 0.997–0.999 0.998–1.002 0.997–1.002
Panel 3: Air pollutants on severe obesity (d = 2, polynomial = 3)c
OR(SO) 1.069*** 1.035*** 1.013*** 0.994*** 0.999*** 1.005 1.004
95%CI 1.014–1.208 1.015–1.055 1.007–1.019 0.991–0.997 0.998–0.999 0.998–1.012 0.996–1.007

a Individuals were defined as OW, OB, and SO if their BMI ≥ 24, BMI ≥28, and BMI ≥30, respectively. AQI was air quality index, OW was overweight, OB was obesity, and SO was severe obesity. b Selected the sample where d = 2, polynomial = 3 to report. All the covariates were controlled by command ‘covs’ in the ‘rdrobust,’ using a fuzzy RD model with an instrumental variable of whether the individual was located north of the QHB. c*p < 0.05, **p < 0.01, ***p < 0.001.