Background: Nursing home (NH) residents are vulnerable to mortality after natural disasters. We examined NH residents' excess all-cause mortality associated with Hurricane Harvey, a unique disaster with long-lasting flooding effects. We also explored how mortality differed between short-stay and long-stay residents and by chronic conditions.
Methods: We conducted a retrospective observational study of Texas NH residents, comparing 30- and 90-day mortality among residents exposed to Hurricane Harvey in August 2017 to residents not exposed in the same location and time period during the previous 2 years. Data came from the Minimum Data Set Assessments and the Medicare Beneficiary Summary File. We used linear probability models to examine the association between hurricane exposure and mortality, adjusting for resident demographics, clinical acuity, and NH fixed effects. Models were stratified by short-stay and long-stay status. We also described differences in mortality by residents' chronic conditions.
Results: In 2017, 18,479 Texas NH residents were exposed to Hurricane Harvey. Exposure to Hurricane Harvey was not significantly associated with 30-day mortality. However, 7.6% (95% CI: 7.2, 7.9) of long-stay residents died 90 days after exposure to Harvey, compared to 6.3% (95% CI: 6.0, 6.7) during 2015. Apparently, this effect was driven by chronic obstructive pulmonary disease (COPD) as approximately 9.2% of these residents died within 90 days after Harvey landing compared to 7.2% in 2015 (p < 0.01).
Conclusions: Hurricane exposure appears to have significant consequences for mortality among long-stay NH residents, which appear to materialize over the long-term (90 days post-hurricane in our study) and may not be apparent immediately (30 days post-hurricane in our study). NH residents with COPD may be particularly vulnerable to increased mortality risk following hurricane exposure. The results highlight the need to pay special attention to mortality risk in NH residents, particularly those with COPD, following hurricane exposure.
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http://dx.doi.org/10.1111/jgs.18143 | DOI Listing |
JAMA Netw Open
January 2025
Department of Occupational and Environmental Health, University of Iowa, Iowa City.
Importance: Hurricanes are associated with a wide range of adverse health effects in the general population and are increasing in frequency and severity due to global climate change. Due to prior military exposures and distinct sociodemographic characteristics, US veterans may be more vulnerable than the general population to negative health effects of hurricanes.
Objective: To evaluate whether acute care mental health visits among US veterans were associated with exposure to hurricanes.
Psychol Trauma
November 2024
Department of Psychological Science, University of California, Irvine.
Objective: We examined whether perceived trust in media was associated with post-Hurricane Harvey traumatic stress symptoms and tested whether it buffered the association between hurricane-related media exposure and post-Hurricane Harvey traumatic stress symptoms.
Method: A probability-based, representative sample of Texas residents, drawn from the GfK KnowledgePanel, were surveyed online three times: 2 weeks ( = 1,137), 6 weeks ( = 1,023), and 14 months ( = 748) after Hurricane Harvey (a Category 4 storm) made landfall in 2017. Measures included traumatic stress symptoms, Hurricane Harvey-related media exposure, perceived trust in that media, Hurricane Harvey exposures, and demographics.
Biomimetics (Basel)
September 2024
School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China.
The Internet's development has prompted social media to become an essential channel for disseminating disaster-related information. Increasing the accuracy of emotional polarity recognition in tweets is conducive to the government or rescue organizations understanding the public's demands and responding appropriately. Existing sentiment analysis models have some limitations of applicability.
View Article and Find Full Text PDFPLoS One
August 2024
School of Public Health, Boston University, Boston, Massachusetts, United States of America.
Environ Sci Technol
August 2024
Department of Environmental Health Sciences, University of California, Los Angeles, California 90095, United States.
Extreme weather events are becoming more severe due to climate change, increasing the risk of contaminant releases from hazardous sites disproportionately located in low-income communities of color. We evaluated contaminant releases during Hurricanes Rita, Ike, and Harvey in Texas and used regression models to estimate associations between neighborhood racial/ethnic composition and residential proximity to hurricane-related contaminant releases. Two-to-three times as many excess releases were reported during hurricanes compared to business-as-usual periods.
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