Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study
Background First cardiometabolic disorders (FCMDs) and dementia pose a significant burden on aging populations. Investigating the association between atmospheric pollutants and the progression of FCMDs and dementia is crucial. Methods A prospective analysis was conducted on 413 149 participants from...
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2025-05-01
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| Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
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| Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.124.040844 |
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| author | Dong Chen Yu Long Yudiyang Ma Weihong Sha Lijun Zhang Yuying Ma Qinming Li Jing Feng Ruijie Zeng Dongling Luo Wentao Huang Yanjun Wu Meijun Meng Felix W Leung Chongyang Duan Yaohua Tian Hao Chen |
| author_facet | Dong Chen Yu Long Yudiyang Ma Weihong Sha Lijun Zhang Yuying Ma Qinming Li Jing Feng Ruijie Zeng Dongling Luo Wentao Huang Yanjun Wu Meijun Meng Felix W Leung Chongyang Duan Yaohua Tian Hao Chen |
| author_sort | Dong Chen |
| collection | DOAJ |
| description | Background First cardiometabolic disorders (FCMDs) and dementia pose a significant burden on aging populations. Investigating the association between atmospheric pollutants and the progression of FCMDs and dementia is crucial. Methods A prospective analysis was conducted on 413 149 participants from the UK Biobank. Atmospheric pollutant concentrations were calculated using land‐use regression models. We used a multistate model and calculated the polygenic risk score for dementia to analyze the associations of pollutants on the relevant trajectories from baseline to FCMD, subsequent dementia, and death. Results Over 13 years, 65 336 patients with FCMD were identified, with 2584 developing dementia and 10 664 dying. Each interquartile range increase in pollutant concentrations showed the hazard ratios (HRs) of particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.03 [95% CI, 1.02–1.05]); nitrogen dioxide (HR, 1.04 [95% CI, 1.03–1.05]), and nitrogen oxides (HR, 1.03 [95% CI, 1.02–1.04]) for transitioning from baseline to FCMD; particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.11 [95% CI, 1.05–1.16]; nitrogen dioxide: HR, 1.12 [95% CI, 1.06–1.18]; and nitrogen oxides (HR, 1.07 [95% CI, 1.03–1.12]) for transitioning from FCMD to dementia, and the association between pollutants and this trajectory remained consistent after adjusting for genetic susceptibility to dementia (particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.06 [95% CI, 1.04–1.08]; nitrogen dioxide: HR, 1.05 ([95% CI, 1.03–1.07); and nitrogen oxides: HR, 1.05 [95% CI, 1.03–1.06]) for transitioning from baseline to death; and particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.03 ([95% CI, 1.00–1.05); nitrogen dioxide: HR, 1.05 ([95% CI, 1.02–1.08); nitrogen oxides: HR, 1.04 ([95% CI, 1.01–1.06]) for transitioning from subsequent FCMD to death. Particulate matter with aerodynamic diameter ≤10 μm was only significantly associated with the transition from baseline to FCMD. Conclusions Our study provides the first evidence that atmospheric pollutants are associated with the progression of FCMD and subsequent dementia. |
| format | Article |
| id | doaj-art-4c5de862c83c465c8ba99206ef95a9d1 |
| institution | Kabale University |
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| language | English |
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| series | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| spelling | doaj-art-4c5de862c83c465c8ba99206ef95a9d12025-08-20T03:47:36ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802025-05-0114910.1161/JAHA.124.040844Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort StudyDong Chen0Yu Long1Yudiyang Ma2Weihong Sha3Lijun Zhang4Yuying Ma5Qinming Li6Jing Feng7Ruijie Zeng8Dongling Luo9Wentao Huang10Yanjun Wu11Meijun Meng12Felix W Leung13Chongyang Duan14Yaohua Tian15Hao Chen16School of Medicine, South China University of Technology Guangzhou ChinaSchool of Medicine, South China University of Technology Guangzhou 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 ChinaSchool of Medicine, South China University of Technology Guangzhou ChinaSchool of Medicine, South China University of Technology Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaGuangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDepartment of Gastroenterology Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou ChinaDavid Geffen School of Medicine, University of California Los Angeles California Los Angeles USAState Key Laboratory of Multi‐organ Injury Prevention and Treatment, Department of Biostatistics School of Public Health, Southern Medical University Guangzhou 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 ChinaSchool of Medicine, South China University of Technology Guangzhou ChinaBackground First cardiometabolic disorders (FCMDs) and dementia pose a significant burden on aging populations. Investigating the association between atmospheric pollutants and the progression of FCMDs and dementia is crucial. Methods A prospective analysis was conducted on 413 149 participants from the UK Biobank. Atmospheric pollutant concentrations were calculated using land‐use regression models. We used a multistate model and calculated the polygenic risk score for dementia to analyze the associations of pollutants on the relevant trajectories from baseline to FCMD, subsequent dementia, and death. Results Over 13 years, 65 336 patients with FCMD were identified, with 2584 developing dementia and 10 664 dying. Each interquartile range increase in pollutant concentrations showed the hazard ratios (HRs) of particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.03 [95% CI, 1.02–1.05]); nitrogen dioxide (HR, 1.04 [95% CI, 1.03–1.05]), and nitrogen oxides (HR, 1.03 [95% CI, 1.02–1.04]) for transitioning from baseline to FCMD; particulate matter with aerodynamic diameter ≤2.5 μm (HR, 1.11 [95% CI, 1.05–1.16]; nitrogen dioxide: HR, 1.12 [95% CI, 1.06–1.18]; and nitrogen oxides (HR, 1.07 [95% CI, 1.03–1.12]) for transitioning from FCMD to dementia, and the association between pollutants and this trajectory remained consistent after adjusting for genetic susceptibility to dementia (particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.06 [95% CI, 1.04–1.08]; nitrogen dioxide: HR, 1.05 ([95% CI, 1.03–1.07); and nitrogen oxides: HR, 1.05 [95% CI, 1.03–1.06]) for transitioning from baseline to death; and particulate matter with aerodynamic diameter ≤2.5 μm: HR, 1.03 ([95% CI, 1.00–1.05); nitrogen dioxide: HR, 1.05 ([95% CI, 1.02–1.08); nitrogen oxides: HR, 1.04 ([95% CI, 1.01–1.06]) for transitioning from subsequent FCMD to death. Particulate matter with aerodynamic diameter ≤10 μm was only significantly associated with the transition from baseline to FCMD. Conclusions Our study provides the first evidence that atmospheric pollutants are associated with the progression of FCMD and subsequent dementia.https://www.ahajournals.org/doi/10.1161/JAHA.124.040844atmospheric pollutantscardiometabolic disordersdementiamultistate modelprospective cohort study |
| spellingShingle | Dong Chen Yu Long Yudiyang Ma Weihong Sha Lijun Zhang Yuying Ma Qinming Li Jing Feng Ruijie Zeng Dongling Luo Wentao Huang Yanjun Wu Meijun Meng Felix W Leung Chongyang Duan Yaohua Tian Hao Chen Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease atmospheric pollutants cardiometabolic disorders dementia multistate model prospective cohort study |
| title | Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study |
| title_full | Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study |
| title_fullStr | Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study |
| title_full_unstemmed | Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study |
| title_short | Atmospheric Pollutants, Cardiometabolic Disorders, and Dementia in Trajectory Analysis: A 13‐Year Longitudinal Cohort Study |
| title_sort | atmospheric pollutants cardiometabolic disorders and dementia in trajectory analysis a 13 year longitudinal cohort study |
| topic | atmospheric pollutants cardiometabolic disorders dementia multistate model prospective cohort study |
| url | https://www.ahajournals.org/doi/10.1161/JAHA.124.040844 |
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