JOURNAL ARTICLE
Extreme Hot Weather Events and Risk of Hospitalization for Cardiovascular and Respiratory Diseases in Older People in Hong Kong in 2012–2018.
Published In: Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2025, v. 80, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lai, Eric Tsz-Chun; Ho, Irene Yuk-Ying; Ho, Hung Chak; Chau, Pui-Hing; Yip, Terry Cheuk-Fung; Wong, Grace Lai-Hung; Woo, Jean 3 of 3
Abstract
This article examines the relationship between extreme hot weather events (EHWEs) and hospitalization risks for cardiovascular and respiratory diseases among older adults in Hong Kong, comparing institutionalized residents of old age homes (OAHs) with community-dwelling counterparts. Using territory-wide hospitalization data from 2012 to 2018 and defining EHWEs as sequences of very hot days (daily maximum temperature ≥33 °C) and hot nights (daily minimum temperature ≥28 °C), the study found that prolonged heat exposure is associated with increased cardiovascular admissions, particularly among frailer OAH residents, with effects manifesting after longer lag periods (up to 18 days) compared to community dwellers. Respiratory disease admissions showed more immediate associations with heat exposure but less pronounced lag effects. The findings highlight the vulnerability of institutionalized older populations to heat-related health risks and suggest the need for enhanced heat protection measures and healthcare planning tailored to these groups.
Additional Information
- Source:Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2025/04, Vol. 80, Issue 4, p1
- Document Type:Article
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2025
- ISSN:1079-5006
- DOI:10.1093/gerona/glaf002
- Accession Number:184408771
- Copyright Statement:Copyright of Journals of Gerontology Series A: Biological Sciences & Medical Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.