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. Author manuscript; available in PMC: 2024 Feb 26.
Published in final edited form as: Environ Pollut. 2023 Jul 29;335:122277. doi: 10.1016/j.envpol.2023.122277

Table 2.

Association between noise exposure and diabetes and insulin resistance for all participants.

Insulin resistance β (95%CI) T2DM OR (95%CI)

Road noise
Static exposure (N = 573)
Census Tract
Continuous* 0.02 (−0.02, 0.05) 1.10 (0.96, 1.27)
≥53 dB(A) 0.04 (−0.10, 0.17) 1.36 (0.75, 2.46)
Buffer around home
Continuous* − 0.01 (−0.06, 0.03) 1.02 (0.84, 1.24)
≥55 dB(A) − 0.06 (−0.19, 0.07) 1.02 (0.55, 1.88)
Dynamic exposure (N = 566) KDE
Continuous* − 0.15 (−0.83, 0.53) 0.41 (0.07, 2.49)
≥ median − 0.10 (−0.24, 0.03) 1.23 (0.64, 2.38)
Aircraft noise
Static exposure (N = 573)
Census Tract
≥45 dB(A) − 0.03 (−0.16, 0.10) 1.18 (0.65, 2.16)
Buffer around home
≥45 dB(A) − 0.07 (−0.20, 0.06) 1.58 (0.85, 2.93)
Dynamic exposure (N = 567)
KDE
Continuous* − 0.07 (−0.30, 0.17) 2.22 (0.91, 5.38)
≥ median − 0.06 (−0.19, 0.07) 1.52 (0.92, 2.50)

T2DM: Type 2 Diabetes Mellitus; OR: Odds Ratio; CI: Confidence Interval. Models were adjusted for sex, age, ethnicity, individual income and NO2. This paper has been recommended for acceptance by Dr. Payam Dadvand.. The median of dynamic road and aircraft noise exposure was 0.13 and 0.10, respectively..