Projects per year
Abstract
Background: Floods are the most frequent weather-related disaster, causing significant health impacts worldwide. Limited studies have examined the long-term consequences of flooding exposure. Methods: Flood data were retrieved from the Dartmouth Flood Observatory and linked with health data from 499,487 UK Biobank participants. To calculate the annual cumulative flooding exposure, we multiplied the duration and severity of each flood event and then summed these values for each year. We conducted a nested case-control analysis to evaluate the long-term effect of flooding exposure on all-cause and cause-specific mortality. Each case was matched with eight controls. Flooding exposure was modelled using a distributed lag non-linear model to capture its nonlinear and lagged effects. Results: The risk of all-cause mortality increased by 6.7% (odds ratio (OR): 1.067, 95% confidence interval (CI): 1.063–1.071) for every unit increase in flood index after confounders had been controlled for. The mortality risk from neurological and mental diseases was negligible in the current year, but strongest in the lag years 3 and 4. By contrast, the risk of mortality from suicide was the strongest in the current year (OR: 1.018, 95% CI: 1.008–1.028), and attenuated to lag year 5. Participants with higher levels of education and household income had a higher estimated risk of death from most causes whereas the risk of suicide-related mortality was higher among participants who were obese, had lower household income, engaged in less physical activity, were non-moderate alcohol consumers, and those living in more deprived areas. Conclusions: Long-term exposure to floods is associated with an increased risk of mortality. The health consequences of flooding exposure would vary across different periods after the event, with different profiles of vulnerable populations identified for different causes of death. These findings contribute to a better understanding of the long-term impacts of flooding exposure.
Original language | English |
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Article number | 188 |
Number of pages | 14 |
Journal | BMC Medicine |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - Dec 2024 |
Keywords
- Floods
- Long-term
- Mortality
- Natural disaster
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New Knowledge and Research Capacity for Health Impacts of Global Environmental Change with Big Data, Novel Approach and New Technology
Guo, Y. (Primary Chief Investigator (PCI))
1/01/22 → 31/12/26
Project: Research
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Multi-Country Study on Health Effects of Bushfire Air Pollution
Guo, Y. (Primary Chief Investigator (PCI)), Abramson, M. (Chief Investigator (CI)), Marks, G. B. (Partner Investigator (PI)), Johnston, F. (Chief Investigator (CI)), Heyworth, J. S. (Chief Investigator (CI)), Morgan, G. G. (Chief Investigator (CI)), Knibbs, L. (Chief Investigator (CI)), Samet, J. (Partner Investigator (PI)), Bell, M. (Partner Investigator (PI)), Woodward, A. (Partner Investigator (PI)), Jalaludin, B. B. (Partner Investigator (PI)), Saldiva, P. H. N. (Partner Investigator (PI)), Hales, S. (Partner Investigator (PI)), Henderson, S. B. (Partner Investigator (PI)) & Lavigne, E. (Partner Investigator (PI))
1/04/22 → 31/03/25
Project: Research
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Climate Change and Human Health in Asia: Current Impacts, Future Risks, and Health Benefits of Mitigation Policies
Guo, Y. (Primary Chief Investigator (PCI)), Capon, T. (Chief Investigator (CI)), Bi, P. (Chief Investigator (CI)), Jalaludin, B. B. (Chief Investigator (CI)), Zhang, Y. (Chief Investigator (CI)), Green, D. (Chief Investigator (CI)), Hu, W. (Chief Investigator (CI)), Arblaster, J. (Chief Investigator (CI)), Li, S. (Chief Investigator (CI)), Phung, D. (Chief Investigator (CI)), Huxley, R. R. (Associate Investigator (AI)), Li, T. (Associate Investigator (AI)), Kan, H. (Associate Investigator (AI)), Kim, H. H. (Associate Investigator (AI)), Hales, S. (Associate Investigator (AI)), Peng, W. (Associate Investigator (AI)), Binti Mahjom, M. (Associate Investigator (AI)) & Phuleria, H. (Associate Investigator (AI))
1/01/21 → 31/12/24
Project: Research