Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients
文献类型：期刊论文
| 作者 | Xiao, Jing1; Fei, Teng1,3; Yu, Bo2; Huang, Yingjing5; Du, Yunyan4 |
| 刊名 | INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
 |
| 出版日期 | 2025-09-26 |
| 卷号 | 24期号:1页码:27 |
| 关键词 | Stroke Mortality Noise Pollution Street View Images Cox Regression Environmental epidemiology Elderly Population |
| ISSN号 | 1476-072X |
| DOI | 10.1186/s12942-025-00416-8 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| URL标识 | 查看原文 |
| WOS关键词 | MORTALITY ; EXPOSURE |
| WOS研究方向 | Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:001581849100004 |
| 出版者 | BMC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217451]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Fei, Teng |
| 作者单位 | 1.WuHan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China; 2.Fuxin Cent Hosp, Fuxin, Liaoning, Peoples R China; 3.Univ Canterbury, Sch Forestry, Auckland, New Zealand; 4.State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Peking Univ, Sch Earth & Space Sci, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Xiao, Jing,Fei, Teng,Yu, Bo,et al. Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients[J]. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS,2025,24(1):27. |
| APA | Xiao, Jing,Fei, Teng,Yu, Bo,Huang, Yingjing,&Du, Yunyan.(2025).Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients.INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS,24(1),27. |
| MLA | Xiao, Jing,et al."Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients".INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS 24.1(2025):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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