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. 2022 Nov 16;46(1):111–119. doi: 10.2337/dc22-1585

Table 2.

Associations of exposure to PM2.5 and its components (per SD increase, μg/m3) with diabetes in Southwest China

Pollutant Model 1* Model 2 Model 3
OR§ (95% CI) P value OR (95% CI) P value OR (95% CI) P value
PM2.5 1.03 (0.99–1.06) 0.07 1.10 (1.03–1.18) <0.01 1.08 (1.01–1.15) 0.03
BC 1.02 (0.99–1.05) 0.10 1.10 (1.03–1.17) 0.03 1.07 (1.01–1.15) 0.03
Ammonium 1.02 (0.99–1.05) 0.10 1.09 (1.02–1.16) 0.01 1.07 (1.00–1.14) 0.05
Nitrate 1.03 (0.99–1.06) 0.07 1.11 (1.04–1.19) <0.01 1.08 (1.01–1.16) 0.02
OM 1.03 (1.00–1.06) 0.04 1.12 (1.05–1.19) <0.01 1.09 (1.02–1.16) 0.01
Sulfate 1.02 (0.99–1.05) 0.15 1.07 (1.01–1.13) 0.03 1.05 (0.99–1.12) 0.11
SOIL 1.04 (1.01–1.07) 0.01 1.11 (1.04–1.19) <0.01 1.09 (1.02–1.17) 0.02
SS 1.02 (0.99–1.04) 0.30 1.02 (0.97–1.08) 0.50 1.02 (0.97–1.08) 0.48
*

N = 69,210, crude model, adjusted for no covariates.

N = 69,210, adjusted for age, sex, ethnicity, region, income, and education.

N = 69,210, adjusted for age, sex, ethnicity, region, income, education, alcohol, BMI, smoke, second-hand smoke, indoor air pollution, MET level, MED level, 3-year average temperature, and 3-year average humidity.

§

OR of prevalent diabetes.