Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China
Background: Flooding has become more frequent and intensive due to climate change, particularly in Asian countries. However, evidence on the long-term health effects of floods from large-scale studies on the vulnerable aged population in China is insufficient. This study analyzed the long-term effec...
| Published in: | Environment International |
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| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412024000709 |
| _version_ | 1850042730175004672 |
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| author | Pengfei Li Jingyi Wu Jiwei Li Mingkun Tong Yuanli Liu Tao Xue Tianjia Guan |
| author_facet | Pengfei Li Jingyi Wu Jiwei Li Mingkun Tong Yuanli Liu Tao Xue Tianjia Guan |
| author_sort | Pengfei Li |
| collection | DOAJ |
| container_title | Environment International |
| description | Background: Flooding has become more frequent and intensive due to climate change, particularly in Asian countries. However, evidence on the long-term health effects of floods from large-scale studies on the vulnerable aged population in China is insufficient. This study analyzed the long-term effects of exposure to flood on electrocardiographic (ECG) abnormalities, a commonly used indicator of cardiovascular disease (CVD) screening, in middle-aged and elderly people. Method: We evaluated the Chinese National Stroke Screening Survey data of 80,711 follow-up records from 38,375 participants aged > 40 years with two or more visits between 2013 and 2018 in this longitudinal study. Flood exposure was assessed as the presence of a satellite-detected flooded area within 500 m of the residence within 5 years before the survey date. The association between ECG abnormalities and flood exposure was analyzed using a random effects model with multiple adjustments. As age is an important CVD risk factor, a varying-coefficient function was derived to estimate the nonlinear modifying effect of age on the association between ECG abnormalities and flood exposure. The strata-specific associations between ECG abnormalities and flood exposure were applied to characterize vulnerability to flood. Results: The fully adjusted model suggested that flood exposure was associated with an increased risk for ECG abnormalities among the middle-aged and elderly population (odds ratio [OR] 1.74, 95 % confidence interval [CI] 1.49, 2.03). The ORs of flood exposure for ECG suggesting atrial fibrillation, ST depression, and left ventricular hypertrophy were 1.85 (95 % CI 1.16, 2.94), 6.92 (95 % CI 5.23, 9.16), and 1.55 (95 % CI 0.66, 3.65), respectively. These associations were generally robust in various subpopulations, while a sublinear curve for the negative modifying effect of age was observed on the population vulnerability to flood. Conclusion: Flood exposure was associated with an increased long-term risk for an ECG abnormality. The need for effective measures to mitigate vulnerability to flood is not negligible in China. |
| format | Article |
| id | doaj-art-8523e1a5da8d4e1bbfe8d8c4c95456f3 |
| institution | Directory of Open Access Journals |
| issn | 0160-4120 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-8523e1a5da8d4e1bbfe8d8c4c95456f32025-08-20T00:30:59ZengElsevierEnvironment International0160-41202024-03-0118510848410.1016/j.envint.2024.108484Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in ChinaPengfei Li0Jingyi Wu1Jiwei Li2Mingkun Tong3Yuanli Liu4Tao Xue5Tianjia Guan6Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, ChinaAdvanced Institute of Information Technology, Peking University, Hangzhou 311215, ChinaSchool of Computer Science, Zhejiang University, Hangzhou, ChinaInstitute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, ChinaSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaInstitute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China; Corresponding authors at: Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China (T. Xue); School of Health Policy and Management, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China (T. Guan).School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Corresponding authors at: Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China (T. Xue); School of Health Policy and Management, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China (T. Guan).Background: Flooding has become more frequent and intensive due to climate change, particularly in Asian countries. However, evidence on the long-term health effects of floods from large-scale studies on the vulnerable aged population in China is insufficient. This study analyzed the long-term effects of exposure to flood on electrocardiographic (ECG) abnormalities, a commonly used indicator of cardiovascular disease (CVD) screening, in middle-aged and elderly people. Method: We evaluated the Chinese National Stroke Screening Survey data of 80,711 follow-up records from 38,375 participants aged > 40 years with two or more visits between 2013 and 2018 in this longitudinal study. Flood exposure was assessed as the presence of a satellite-detected flooded area within 500 m of the residence within 5 years before the survey date. The association between ECG abnormalities and flood exposure was analyzed using a random effects model with multiple adjustments. As age is an important CVD risk factor, a varying-coefficient function was derived to estimate the nonlinear modifying effect of age on the association between ECG abnormalities and flood exposure. The strata-specific associations between ECG abnormalities and flood exposure were applied to characterize vulnerability to flood. Results: The fully adjusted model suggested that flood exposure was associated with an increased risk for ECG abnormalities among the middle-aged and elderly population (odds ratio [OR] 1.74, 95 % confidence interval [CI] 1.49, 2.03). The ORs of flood exposure for ECG suggesting atrial fibrillation, ST depression, and left ventricular hypertrophy were 1.85 (95 % CI 1.16, 2.94), 6.92 (95 % CI 5.23, 9.16), and 1.55 (95 % CI 0.66, 3.65), respectively. These associations were generally robust in various subpopulations, while a sublinear curve for the negative modifying effect of age was observed on the population vulnerability to flood. Conclusion: Flood exposure was associated with an increased long-term risk for an ECG abnormality. The need for effective measures to mitigate vulnerability to flood is not negligible in China.http://www.sciencedirect.com/science/article/pii/S0160412024000709FloodElectrocardiographic abnormalityCardiovascular diseaseVulnerability |
| spellingShingle | Pengfei Li Jingyi Wu Jiwei Li Mingkun Tong Yuanli Liu Tao Xue Tianjia Guan Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China Flood Electrocardiographic abnormality Cardiovascular disease Vulnerability |
| title | Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China |
| title_full | Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China |
| title_fullStr | Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China |
| title_full_unstemmed | Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China |
| title_short | Association between electrocardiographic abnormalities and flood exposure among middle-aged and elderly people: A national longitudinal study in China |
| title_sort | association between electrocardiographic abnormalities and flood exposure among middle aged and elderly people a national longitudinal study in china |
| topic | Flood Electrocardiographic abnormality Cardiovascular disease Vulnerability |
| url | http://www.sciencedirect.com/science/article/pii/S0160412024000709 |
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