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Effects of acoustic environment on sleep and mental health in residential regions near railways

Zhu, Lei; Ma, Jinglun; Wu, Yue; Liu, Fangfang; Kang, Jian; (2025) Effects of acoustic environment on sleep and mental health in residential regions near railways. Applied Acoustics , 227 , Article 110260. 10.1016/j.apacoust.2024.110260.

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Abstract

Noise is an important environmental risk factor for physical and mental health. Furthermore, long-term noise exposure is burdensome for the mind and body and has become a serious problem. Rail transportation is one of the main methods used to transport goods in China; however, the noise and vibrations generated by freight trains have serious impacts on residents in nearby regions. To further investigate the relationship between railway noise and road noise exposure and changes in sleep duration and mental health scores, a field study in Harbin, China, was conducted and a health risk prediction model was constructed. The results showed that for every 1 dB increase in the Equivalent continuous A-weighted sound pressure level (LAeq), the percentage of deep sleep among residents living near the railway decreased by 0.2 %. Although residents near the railway reported similar sleep evaluations compared to those living farther away, they exhibited poorer mental health. Cox risk modeling indicates that the risk of mental health problems is approximately three times higher for those living near the railway. These findings potentially provide benefits in developing strategies to reduce the risk of mental illness for people residing near railways.

Type: Article
Title: Effects of acoustic environment on sleep and mental health in residential regions near railways
DOI: 10.1016/j.apacoust.2024.110260
Publisher version: https://doi.org/10.1016/j.apacoust.2024.110260
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Railway noise, Sleep monitor, Mental health, Health risk prediction model
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10198305
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