标题: Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients
作者: Xiao, J (Xiao, Jing); Fei, T (Fei, Teng); Yu, B (Yu, Bo); Huang, YJ (Huang, Yingjing); Du, YY (Du, Yunyan)
来源出版物: INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS 卷: 24 期: 1 文献号: 27 DOI: 10.1186/s12942-025-00416-8 Published Date: 2025 SEP 26
摘要: BackgroundWhile road traffic noise is an emerging environmental risk for cardiovascular mortality, its age-group-specific effects on stroke mortality remain unclear. This study further explored socioeconomic disparities in this association.MethodsWe conducted a retrospective cohort study (2011-2019) with 36,240 hospitalized stroke patients in Fuxin, China. Residential noise levels were estimated using street view imagery analyzed by a novel and multimodal deep learning model. Age-grouped cox proportional hazards models adjusted for NO2, NDVI (Normalized Difference Vegetation Index), and sociodemographic covariates were applied to assess mortality risks.ResultsAmong elderly patients aged \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge$$\end{document}60 years with lower medical insurance, each 5-dB increase in residential road noise was associated with a 93.6% increase in stroke mortality risk (HR = 1.936, 95% CI: 1.024-3.660; p = 0.042). The estimated exposure prevalence in this subgroup was 3%, yet the population attributable fraction reached 1.7%. In contrast, no significant associations were found among patients with higher insurance coverage. Younger Males had a 51.3% higher mortality risk than females (adjusted HR=1.513, 95% CI: 1.142-2.005), independent of environmental exposures. NO2 and NDVI were not significantly associated with mortality across subgroups.ConclusionsThese findings highlight the need for noise mitigation strategies that prioritize vulnerable populations, particularly the elderly and those with limited healthcare access.
作者关键词: Stroke Mortality; Noise Pollution; Street View Images; Cox Regression; Environmental epidemiology; Elderly Population
KeyWords Plus: MORTALITY; EXPOSURE
地址: [Xiao, Jing; Fei, Teng] WuHan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.
[Fei, Teng] Univ Canterbury, Sch Forestry, Auckland, New Zealand.
[Yu, Bo] Fuxin Cent Hosp, Fuxin, Liaoning, Peoples R China.
[Huang, Yingjing] Peking Univ, Sch Earth & Space Sci, Beijing, Peoples R China.
[Du, Yunyan] State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China.
通讯作者地址: Fei, T (通讯作者)，WuHan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.
Fei, T (通讯作者)，Univ Canterbury, Sch Forestry, Auckland, New Zealand.
电子邮件地址: [email protected]; [email protected]; [email protected]; [email protected]; [email protected]
影响因子：3.2
