Evidence map›Paper›PMID 42763347›Full record

ArticleJournal of exposure science & environmental epidemiology2026

A dangerous combination: how co-occurring floods and blackouts increase cardiovascular hospitalizations.

Yineng Chen, Randy Tangang, Yanan Sun, Stephanie Zaloom, Liqiong Guo, Sihao Song, Mirza Ishrat Noor, Samantha Friedman, Junhong Wang, Nick P Bassill and 2 more

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yineng ChenDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Albany, NY, USA.
Randy TangangDepartment of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA.
Yanan SunDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Albany, NY, USA.
Stephanie ZaloomDepartment of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA.
Liqiong GuoDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Albany, NY, USA.
Sihao SongDepartment of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA.
Mirza Ishrat NoorDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Albany, NY, USA.
Samantha FriedmanDepartment of Sociology, University at Albany, State University of New York, Albany, NY, USA.
Junhong WangNew York State Mesonet, University at Albany, State University of New York, Albany, NY, USA.
Nick P BassillState Weather Risk Communication Center, University at Albany, State University of New York, Albany, NY, USA.
Tian-Song WangDepartment of Cardiac Center, Sanya Central Hospital (The Third People's Hospital of Hainan Province), Sanya, China.
Shao LinDepartment of Environmental Health Sciences, University at Albany, State University of New York, Albany, NY, USA. slin@albany.edu.ORCID http://orcid.org/0000-0002-5535-7504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtreme weather events (EWEs) are becoming more frequent, but few have assessed the joint effects of floodings and power outages (POs) on health.

objectiveWe aimed to quantify the independent and joint effects of flooding and POs on hospitalizations for cardiovascular diseases (CVDs).

methodsAssociations between flooding/POs and CVD hospitalizations in New York State (NYS) were estimated using distributed lag nonlinear models (DLNMs) within a quasi-Poisson regression framework, adjusting for PM

resultsFlooding and POs were independently associated with total and specific CVDs, but the impact was stronger when they co-occurred (highest RR = 1.09, 95% CI: 1.03-1.15). CVD risk increased when flooding persisted for >3 days and when POs exceeded 15.3%. Flooding/POs were associated with longer hospital stays and higher comorbidities. Flooding/PO joint occurrence showed larger risk of CVD hospitalization during COVID-19, although not statistically significant. Stronger joint effects were observed on subtypes of hypertension, stroke, and ischemic heart disease, people over 65 years, those with Medicaid or no insurance coverage, rural residents, and during winter/spring. SIGNIFICANCE: This study highlights the health impacts of co-occurring environmental hazards of flooding and POs, revealing seasonal and temporal patterns and identifying vulnerable subgroups. Targeting susceptible population and deploying preparedness efforts in critical time windows may help mitigate related excess CVD burden. IMPACT: Our study provides new evidence on the impact of co-occurring flooding and POs on CVD hospitalizations. We found that their joint occurring is associated with greater increases in CVD hospitalizations than either exposure alone, disproportionately affecting older adults, socioeconomically vulnerable populations, and rural communities. Distinct seasonal, temporal, and threshold patterns were identified for flooding and POs. These findings offer useful information for emergency management agencies to reduce CVD burden during compound hazard events.

Indexed as

Cardiovascular diseaseEnvironmental epidemiologyExtreme weatherFloodingHospitalizationsPower outages

Identifiers

PMID42763347

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