Evidence map›Paper›PMID 40065151›Full record

ArticleCommunications medicine2025

UK Biobank data demonstrate long-term exposure to floods is a risk factor for incident dementia.

Yao Wu, Rongbin Xu, Danijela Gasevic, Zhengyu Yang, Pei Yu, Bo Wen, Yanming Liu, Guowei Zhou, Yan Zhang, Jiangning Song and 3 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yao WuClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-8105-0522
Rongbin XuClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-1906-8614
Danijela GasevicClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Zhengyu YangClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-7291-4475
Pei YuClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-7485-1751
Bo WenClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-8379-1730
Yanming LiuClimate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-8599-7118
Guowei ZhouDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan ZhangDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jiangning SongMonash Biomedicine Discovery Institute, Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-8031-9086
Hong Liu *Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0000-0001-9976-2985
Shanshan Li *Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-9021-8470
Yuming Guo *Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. yuming.guo@monash.edu.ORCID http://orcid.org/0000-0002-1766-6592

Funding

China Scholarship Council (CSC) 202006010044, 202006010043, 201906210065Department of Health | National Health and Medical Research Council (NHMRC) GNT2000581, GNT2009866, GNT2008813
6 · The paper itself

Abstract

backgroundFlooding has emerged as the most prevalent natural disaster, impacting billions of individuals worldwide. However, the long-term effects of flooding exposure on dementia remain unclear.

methodsWith a nested case-control design, a risk-set sampling method was used to match cases and controls. Annual cumulative flooding exposure was calculated for each participant. The associations between flooding exposure and incident dementia were assessed using conditional logistic regression models.

resultsHere we show that the risk of flood-related incident dementia is the strongest in the current year and diminished over a span of 6 years. In the fully adjusted model, the cumulative odds ratios (OR) are 1.28 (95% confidence interval [CI]: 1.25-1.31) for any dementia, 1.44 (95% CI: 1.36-1.53) for Alzheimer's disease and 1.65 (95% CI: 1.48-1.83) for vascular dementia, associated with per unit increase in annual cumulative flooding exposure over lag 0-6 years. Participants under the age of 65 years (OR: 1.39, 95% CI: 1.33-1.46) and female participants (OR: 1.41, 95% CI: 1.33-1.49) exhibit a higher risk of incident dementia compared to those aged 65 years and older (OR: 1.25, 95% CI: 1.21-1.28) and male participants (OR: 1.26, 95% CI: 1.23-1.30), respectively. Similar effect estimates are observed in the stratified analyses of Alzheimer's disease according to genetic factors.

conclusionsThis study provides robust epidemiological evidence supporting the link between floods and an increased risk of dementia. These findings enhance the understanding of the long-term consequences of flood exposure.

Identifiers

PMID40065151
PMCPMC11894203

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.