Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study
Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke and dementia, is primarily identified and diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on the relationship between air pollution and CSVD, this study...
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Elsevier
2025-03-01
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| Series: | Eco-Environment & Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772985024000711 |
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| author | Yudiyang Ma Ying Hui Linxi Tang Jianing Wang Meiqi Xing Lei Zheng Feipeng Cui Shuohua Chen Shouling Wu Zhenchang Wang Yaohua Tian |
| author_facet | Yudiyang Ma Ying Hui Linxi Tang Jianing Wang Meiqi Xing Lei Zheng Feipeng Cui Shuohua Chen Shouling Wu Zhenchang Wang Yaohua Tian |
| author_sort | Yudiyang Ma |
| collection | DOAJ |
| description | Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke and dementia, is primarily identified and diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on the relationship between air pollution and CSVD, this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk. Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study, totaling 1216 participants. Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD. For each interquartile range increase in air pollutant exposure during the examination year, the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45 (1.15, 1.84) for PM2.5, 1.72 (1.27, 2.34) for PM10, 1.26 (1.05, 1.51) for SO2, 1.52 (1.16, 2.00) for NO2, and 1.63 (1.26, 2.13) for CO. The results remained consistent even when the model was fitted using air pollution from different exposure windows. Furthermore, the estimated effect sizes for the total burden of CSVD were 1.20 (1.01, 1.43) for PM2.5, 1.39 (1.12, 1.74) for PM10, 1.26 (1.03, 1.53) for NO2, and 1.30 (1.08, 1.58) for CO. These findings suggest that a positive link between air pollutants exposure and neuroimaging markers of CSVD in the Chinese population, revealing the importance of controlling environmental pollutants to protect the population against cerebral small vessel damage. |
| format | Article |
| id | doaj-art-cd4c82a3e879444ea74b740e006b7caa |
| institution | Kabale University |
| issn | 2772-9850 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Eco-Environment & Health |
| spelling | doaj-art-cd4c82a3e879444ea74b740e006b7caa2025-01-26T05:05:25ZengElsevierEco-Environment & Health2772-98502025-03-0141100129Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based studyYudiyang Ma0Ying Hui1Linxi Tang2Jianing Wang3Meiqi Xing4Lei Zheng5Feipeng Cui6Shuohua Chen7Shouling Wu8Zhenchang Wang9Yaohua Tian10Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaDepartment of Medical Imaging, Kailuan General Hospital, Tangshan 063000, ChinaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaDepartment of Medical Imaging, Kailuan General Hospital, Tangshan 063000, ChinaDepartment of Cardiology, Kailuan General Hospital, Tangshan 063000, China; Corresponding authors.Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China; Corresponding authors.Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Corresponding authors.Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke and dementia, is primarily identified and diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on the relationship between air pollution and CSVD, this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk. Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study, totaling 1216 participants. Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD. For each interquartile range increase in air pollutant exposure during the examination year, the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45 (1.15, 1.84) for PM2.5, 1.72 (1.27, 2.34) for PM10, 1.26 (1.05, 1.51) for SO2, 1.52 (1.16, 2.00) for NO2, and 1.63 (1.26, 2.13) for CO. The results remained consistent even when the model was fitted using air pollution from different exposure windows. Furthermore, the estimated effect sizes for the total burden of CSVD were 1.20 (1.01, 1.43) for PM2.5, 1.39 (1.12, 1.74) for PM10, 1.26 (1.03, 1.53) for NO2, and 1.30 (1.08, 1.58) for CO. These findings suggest that a positive link between air pollutants exposure and neuroimaging markers of CSVD in the Chinese population, revealing the importance of controlling environmental pollutants to protect the population against cerebral small vessel damage.http://www.sciencedirect.com/science/article/pii/S2772985024000711Air pollutionCerebral small vessel diseaseNeuroimaging features |
| spellingShingle | Yudiyang Ma Ying Hui Linxi Tang Jianing Wang Meiqi Xing Lei Zheng Feipeng Cui Shuohua Chen Shouling Wu Zhenchang Wang Yaohua Tian Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study Eco-Environment & Health Air pollution Cerebral small vessel disease Neuroimaging features |
| title | Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study |
| title_full | Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study |
| title_fullStr | Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study |
| title_full_unstemmed | Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study |
| title_short | Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study |
| title_sort | ambient air pollution exposure in relation to cerebral small vessel disease in chinese population a cranial magnetic resonance imaging based study |
| topic | Air pollution Cerebral small vessel disease Neuroimaging features |
| url | http://www.sciencedirect.com/science/article/pii/S2772985024000711 |
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