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. 2023 Jun 13;13:9609. doi: 10.1038/s41598-023-36682-4

Table 3.

Association of air pollutant concentration with annual eGFR slope by a linear regression model with restricted cubic splines.

Model 1 P-value Model 2 P-value
Regression coefficient 95% CI Regression coefficient 95% CI
CO, ppm
 β0 15 (− 38–68) 0.57 187 (− 206–580) 0.35
 Spl_β1 − 45 (− 177–87) 0.50 − 41 (− 165–84) 0.52
 Spl_β2 2358 (− 2233–6948) 0.31 2037 (− 2697–6771) 0.40
 Spl_β3 − 5475 (− 14,429–3480) 0.23 − 4307 (− 13,390–4776) 0.35
 Spl_β4 4988 (− 1216–11,191) 0.11 3781 (− 2394–9956) 0.23
NO, ppb
 β0 6 (− 28–41) 0.72 54 (− 16–125) 0.13
 Spl_β1 − 4 (− 18–11) 0.63 − 6 (− 22–9) 0.42
 Spl_β2 10 (− 117–138) 0.88 2 (− 134–138) 0.98
 Spl_β3 4 (− 329–337) 0.98 49 (− 289–387) 0.77
 Spl_β4 − 47 (− 444–349) 0.82 − 92 (− 470–287) 0.63
NO2, ppb
 β0 14 (− 29–56) 0.52 62 (− 97–220) 0.44
 Spl_β1 − 2 (− 5–2) 0.44 − 2 (− 5–2) 0.36
 Spl_β2 2 (− 2–6) 0.31 2 (− 2–6) 0.25
 Spl_β3 − 5 (− 13–4) 0.28 − 5 (− 13–3) 0.19
 Spl_β4 3 (− 3–9) 0.26 5 (− 1–10) 0.12
NOx, ppb
 β0 11 (− 33–55) 0.63 15 (− 118–148) 0.82
 Spl_β1 − 1 (− 4–2) 0.54 − 1 (− 4–2) 0.52
 Spl_β2 1 (− 2–4) 0.43 1 (− 2–4) 0.45
 Spl_β3 − 3 (− 8–3) 0.40 − 3 (− 8–3) 0.36
 Spl_β4 2 (− 3–7) 0.39 3 (− 2–7) 0.22
O3, ppb
 β0 − 57 (− 421–307) 0.76 222 (− 135–579) 0.22
 Spl_β1 2 (− 10–14) 0.77 − 1 (− 12–11) 0.92
 Spl_β2 0 (− 29–29) 0.99 1 (− 28–30) 0.95
 Spl_β3 − 6 (− 63–50) 0.82 − 1 (− 60–59) 0.99
 Spl_β4 14 (− 25–52) 0.48 2 (− 40–45) 0.91
PM10, μg/m3
 β0 82 (− 95–260) 0.36 155 (− 86–396) 0.21
 Spl_β1 − 1 (− 4–2) 0.34 − 1 (− 4–2) 0.45
 Spl_β2 2 (− 1–4) 0.17 1 (− 1–3) 0.26
 Spl_β3 − 3 (− 8–1) 0.12 − 3 (− 7–2) 0.21
 Spl_β4 3 (0–6) 0.06 2 (− 1–6) 0.12
PM2.5, μg/m3
 β0 73 (− 39–186) 0.20 162 (− 74–397) 0.18
 Spl_β1 − 2 (− 6–1) 0.18 − 2 (− 5–2) 0.36
 Spl_β2 3 (0–7) 0.08 2 (− 1–6) 0.20
 Spl_β3 − 7 (− 14–0) 0.05 − 5 (− 12–2) 0.17
 Spl_β4 5 (1–10) 0.03 4 (− 1–9) 0.11
SO2, ppb
 β0 − 7 (− 33–18) 0.57 81 (− 7–170) 0.07
 Spl_β1 2 (− 6–10) 0.63 1 (− 7–10) 0.80
 Spl_β2 − 9 (− 28–9) 0.33 − 5 (− 24–15) 0.62
 Spl_β3 22 (− 16–61) 0.25 9 (− 30–48) 0.65
 Spl_β4 − 21 (− 54–11) 0.20 − 4 (− 36–29) 0.83

CO, carbon monoxide; NO, nitrogen monoxide; NO2, nitrogen dioxide; NOx, nitrogen oxide; O3, ozone; PM10, particulate matter < 10 μm in aerodynamic diameter; PM25, particulate matter < 2.5 μm in aerodynamic diameter; SO2, sulfur dioxide; ppb, parts per billion; ppm, parts per million; μg/m3, micrograms per cubic meter; Q, quartile; CI, confidence interval.

The 5-knot (percentile: 5, 27.5, 50, 72.5, and 95) restricted cubic spline function was determined for all studied air pollutant concentrations. The knots for CO, NO, NO2, NOX, O3, PM10, PM2.5, and SO2 are (0.42, 0.44, 0.47, 0.48, and 0.49), (2.36, 2.39, 2.41, 2.43, and 2.55), (12.15, 13.19, 13.69, 13.91, and 14.21), (14.53, 15.66, 16.10, 16.28, and 16.54), (30.92, 31.31, 31.53, 31.71, and 31.89), (62.45, 63.62, 64.71, 65.22, and 65.84), (34.31, 35.15, 36.06, 36.49, and 36.99), and (3.38, 3.5, 3.58, 3.67, and 4.09), respectively. β0 is a coefficient of intercept, and Spl_β1- Spl_β4 are coefficients for the restricted cubic spline functions of studied air pollutant concentrations. Model 1 is estimated by a general linear model for the annual estimated glomerular filtration rate slope after only putting one restricted cubic spline function of studied air pollutant concentration. Independent variables in Model 2 are listed as the independent variable in model 1, and age, sex, educational level, diabetes mellitus, hypertension, cerebrovascular accident, congestive heart failure, ischemic heart disease, gout, angiotensin-converting enzyme inhibitor/ angiotensin II receptor blocker, temperature, and log (urine protein creatinine ratio).