TY - JOUR
T1 - Associations of road traffic noise with cardiovascular diseases and mortality
T2 - Longitudinal results from UK Biobank and meta-analysis
AU - Hao, Guang
AU - Zuo, Lei
AU - Weng, Xueqiong
AU - Fei, Qiaoyuan
AU - Zhang, Zugui
AU - Chen, Li
AU - Wang, Zengwu
AU - Jing, Chunxia
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/9
Y1 - 2022/9
N2 - Background: Epidemiological evidence suggests potential associations of road traffic noise exposure with cardiovascular disease (CVD) and mortality, but uncertainty remains. Objectives: We examined the association of road traffic noise with the risk of CVD and mortality in a large longitudinal cohort study and meta-analysis. Methods: We analyzed 342, 566 participants from the UK Biobank who were free of CVD at baseline and had complete covariate data. We also performed a meta-analysis of road traffic noise effects on CVD and mortality by including qualified cohort studies published before April 2021. Results: After adjustment for potential confounders, the odds for the risk of stroke, CVD, and all-cause mortality increased by 1.07 (95%CI: 1.01–1.13, P = 0.019), 1.13 (95%CI: 1.04–1.22, P = 0.003) and 1.08 (95%CI: 1.04–1.12, P < 0.001) times per 10 dB increases in road traffic noise, respectively. Among men, high road traffic noise exposure was significantly associated with an increased risk in stroke (HR = 1.08 per 10 dB increase, 95%CI: 1.00–1.16, P = 0.043), CVD (HR = 1.12 per 10 dB increase, 95%CI: 1.02–1.23, P = 0.020) and all-cause mortality (HR = 1.12 per 10 dB increase, 95%CI: 1.07–1.17 P < 0.001), whereas we did not find a significant association in women. The meta-analysis showed that road traffic noise exposure was significantly associated with a high risk of stroke (risk ratio [RR]: 1.06, 95% CI: 1.02–1.11), CVD mortality (RR: 1.03, 95% CI: 1.00–1.05), all-cause mortality (RR: 1.05, 95% CI: 1.02–1.07). Conclusions: This study provides more evidence of increased risk of stroke, CVD, and all-cause mortality in association with exposure to road traffic noise pollution, especially in men.
AB - Background: Epidemiological evidence suggests potential associations of road traffic noise exposure with cardiovascular disease (CVD) and mortality, but uncertainty remains. Objectives: We examined the association of road traffic noise with the risk of CVD and mortality in a large longitudinal cohort study and meta-analysis. Methods: We analyzed 342, 566 participants from the UK Biobank who were free of CVD at baseline and had complete covariate data. We also performed a meta-analysis of road traffic noise effects on CVD and mortality by including qualified cohort studies published before April 2021. Results: After adjustment for potential confounders, the odds for the risk of stroke, CVD, and all-cause mortality increased by 1.07 (95%CI: 1.01–1.13, P = 0.019), 1.13 (95%CI: 1.04–1.22, P = 0.003) and 1.08 (95%CI: 1.04–1.12, P < 0.001) times per 10 dB increases in road traffic noise, respectively. Among men, high road traffic noise exposure was significantly associated with an increased risk in stroke (HR = 1.08 per 10 dB increase, 95%CI: 1.00–1.16, P = 0.043), CVD (HR = 1.12 per 10 dB increase, 95%CI: 1.02–1.23, P = 0.020) and all-cause mortality (HR = 1.12 per 10 dB increase, 95%CI: 1.07–1.17 P < 0.001), whereas we did not find a significant association in women. The meta-analysis showed that road traffic noise exposure was significantly associated with a high risk of stroke (risk ratio [RR]: 1.06, 95% CI: 1.02–1.11), CVD mortality (RR: 1.03, 95% CI: 1.00–1.05), all-cause mortality (RR: 1.05, 95% CI: 1.02–1.07). Conclusions: This study provides more evidence of increased risk of stroke, CVD, and all-cause mortality in association with exposure to road traffic noise pollution, especially in men.
KW - Cardiovascular disease
KW - Mortality
KW - Road traffic noise
KW - Sex differences
KW - Stroke
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U2 - 10.1016/j.envres.2022.113129
DO - 10.1016/j.envres.2022.113129
M3 - Article
C2 - 35358546
AN - SCOPUS:85127147295
SN - 0013-9351
VL - 212
JO - Environmental Research
JF - Environmental Research
M1 - 113129
ER -