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. 2021 Dec 13;12:753607. doi: 10.3389/fendo.2021.753607

Table 2.

Results of logistic regression for the association between exposure to air pollution and thyroid nodules a .

Model Sample size Model 1 Model 2 Model 3 Model 4 b
PM2.5, μg/m3
Per 10 units 4,920,536 1.04 (1.04, 1.04) 1.04 (1.04, 1.04) 1.06 (1.06, 1.06) 1.06 (1.06, 1.06)
10–29 573,013 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
30–49 1,793,520 1.27 (1.26, 1.28) 1.25 (1.25, 1.26) 1.14 (1.13, 1.15) 1.16 (1.15, 1.17)
50–69 1,824,227 1.15 (1.14, 1.16) 1.13 (1.13, 1.14) 1.21 (1.21, 1.22) 1.24 (1.23, 1.25)
70– 729,776 1.43 (1.42, 1.45) 1.39 (1.38, 1.40) 1.46 (1.45, 1.47) 1.52 (1.51, 1.54)
PM10, μg/m3
Per 10 units 4,920,536 1.02 (1.02, 1.02) 1.02 (1.02, 1.02) 1.03 (1.03, 1.03) 1.04 (1.03, 1.04)
20–39 75,311 1.00 1.00 1.00 1.00
40–59 795,836 1.20 (1.18, 1.22) 1.20 (1.18, 1.22) 1.11 (1.09, 1.13) 1.08 (1.06, 1.10)
60–79 1,382,917 1.47 (1.44, 1.49) 1.44 (1.42, 1.47) 1.12 (1.10, 1.14) 1.13 (1.11, 1.15)
80–99 1,362,765 1.36 (1.34, 1.38) 1.34 (1.32, 1.37) 1.20 (1.18, 1.23) 1.22 (1.20, 1.24)
100– 1,303,707 1.53 (1.51, 1.56) 1.49 (1.46, 1.52) 1.37 (1.35, 1.39) 1.38 (1.36, 1.41)
NO2, μg/m3
Per 10 units 4,920,536 1.05 (1.05, 1.05) 1.05 (1.05, 1.05) 1.09 (1.09, 1.09) 1.10 (1.09, 1.10)
<20 98,703 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
20–29 804,180 1.43 (1.41, 1.46) 1.42 (1.40, 1.44) 1.21 (1.20, 1.23) 1.24 (1.22, 1.26)
30–39 1,281,162 1.33 (1.31, 1.35) 1.32 (1.30, 1.34) 1.17 (1.15, 1.18) 1.15 (1.14, 1.17)
40– 2,736,491 1.46 (1.44, 1.48) 1.45 (1.43, 1.47) 1.39 (1.37, 1.41) 1.41 (1.39, 1.43)
SO2, μg/m3
Per 10 units 4,920,536 1.10 (1.09, 1.10) 1.09 (1.09, 1.09) 1.12 (1.10, 1.12) 1.11 (1.11, 1.12)
<10 579,116 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
10–19 2,192,717 0.98 (0.97, 0.98) 0.98 (0.98, 0.99) 1.06 (1.05, 1.06) 1.14 (1.13, 1.14)
20–29 1,188,411 1.21 (1.21, 1.22) 1.19 (1.18, 1.20) 1.21 (1.21, 1.22) 1.31 (1.29, 1.32)
30– 960,292 1.36 (1.35, 1.37) 1.33 (1.32, 1.34) 1.47 (1.46, 1.48) 1.55 (1.54, 1.57)
CO, mg/m3
Per 1 units 4,920,536 1.20 (1.19, 1.21) 1.17 (1.16, 1.18) 1.46 (1.45, 1.47) 1.50 (1.49, 1.52)
0.40–0.79 676,838 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
0.80–1.19 2,898,208 1.001 (0.998, 1.002) 1.001 (1.001, 1.002) 1.17 (1.16, 1.17) 1.19 (1.19, 1.20)
1.20– 1,345,490 1.14 (1.13, 1.15) 1.12 (1.11, 1.13) 1.41 (1.40, 1.42) 1.43 (1.42, 1.44)
O3, μg/m3
Per 10 units 4,920,536 1.21 (1.20, 1.21) 1.20 (1.20, 1.20) 1.20 (1.18, 1.20) 1.151 (1.149, 1.154)
<50 738,472 1.00 (ref) 1.00 (ref) 1.00 (ref) 1.00 (ref)
50–59 2,327,055 1.17 (1.16, 1.17) 1.16 (1.16, 1.17) 1.15 (1.15, 1.16) 1.17 (1.16, 1.18)
60–69 952,216 1.43 (1.42, 1.44) 1.40 (1.40, 1.41) 1.42 (1.41, 1.42) 1.43 (1.42, 1.44)
70– 902,793 1.60 (1.59, 1.62) 1.58 (1.57, 1.59) 1.56 (1.55, 1.57) 1.43 (1.42, 1.44)

Data are OR (95% CI), unless indicated otherwise. ORs are presented for the following increments: 10 μg/m3 for PM2.5, PM10, NO2, SO2, and O3, and 1mg/m3 for CO. OR, Odds ratio.

a

Model 1 included only age, and sex. Model 2 added individual level variables: fasting blood glucose, body mass index, triglyceride, low density lipoprotein, and high density lipoprotein. Model 3 added city-level variables including Gross Domestic Product, and O3 concentration (except for O3 itself). Model 4 added province-level variables including average urine iodine level, average years of education and average smoking rate.

b

P-values for trend in Model 1 to Model 4 were all less than 0.05.