{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Xiao J"],"funding":["National Natural Science Foundation of China General Program","National Key Research and Development Program of China"],"pagination":["27"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12465645"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>While 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.<h4>Methods</h4>We 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 NO<sub>2</sub>, NDVI (Normalized Difference Vegetation Index), and sociodemographic covariates were applied to assess mortality risks.<h4>Results</h4>Among elderly patients aged ≥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. NO<sub>2</sub> and NDVI were not significantly associated with mortality across subgroups.<h4>Conclusions</h4>These findings highlight the need for noise mitigation strategies that prioritize vulnerable populations, particularly the elderly and those with limited healthcare access."],"journal":["International journal of health geographics"],"pubmed_title":["Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients."],"pmcid":["PMC12465645"],"funding_grant_id":["42271476","2024YFC3307600"],"pubmed_authors":["Yu B","Huang Y","Xiao J","Fei T","Du Y"],"additional_accession":[]},"is_claimable":false,"name":"Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients.","description":"<h4>Background</h4>While 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.<h4>Methods</h4>We 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 NO<sub>2</sub>, NDVI (Normalized Difference Vegetation Index), and sociodemographic covariates were applied to assess mortality risks.<h4>Results</h4>Among elderly patients aged ≥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. NO<sub>2</sub> and NDVI were not significantly associated with mortality across subgroups.<h4>Conclusions</h4>These findings highlight the need for noise mitigation strategies that prioritize vulnerable populations, particularly the elderly and those with limited healthcare access.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-06-03T21:36:18.389Z","creation":"2026-05-02T03:07:55.785Z"},"accession":"S-EPMC12465645","cross_references":{"pubmed":["41013534"],"doi":["10.1186/s12942-025-00416-8"]}}