The aim of this study was to develop a reliable and valid measure of hurricane risk perception. The utility of such a measure lies in the need to understand how people make decisions when facing an evacuation order. This study included participants located within a 15-mile buffer of the Gulf and southeast Atlantic U.S. coasts. The study was executed as a three-wave panel with mail surveys in 2010-2012 (T baseline N = 629, 56%; T retention N = 427, 75%; T retention N = 350, 89%). An inventory based on the psychometric model was developed to discriminate cognitive and affective perceptions of hurricane risk, and included open-ended responses to solicit additional concepts in the T survey. Analysis of the T data modified the inventory and this revised item set was fielded at T and then replicated at T . The resulting scales were assessed for validity against existing measures for perception of hurricane risk, dispositional optimism, and locus of control. A measure of evacuation expectation was also examined as a dependent variable, which was significantly predicted by the new measures. The resulting scale was found to be reliable, stable, and largely valid against the comparison measures. Despite limitations involving sample size, bias, and the strength of some reliabilities, it was concluded that the measure has potential to inform approaches to hurricane preparedness efforts and advance planning for evacuation messages, and that the measure has good promise to generalize to other contexts in natural hazards as well as other domains of risk.
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http://dx.doi.org/10.1111/risa.12575 | DOI Listing |
Sci Rep
January 2025
Earth and Environmental Sciences, The City University of New York - Graduate Center, New York, USA.
BMC Neurol
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang, China.
Objective: This study aimed to investigate the relationship between the unique weather change and acute ischemic stroke (AIS) in the southern Zhejiang Province of China and to provide evidence for better predicting and preventing stroke.
Methods: We retrospectively collected 14,996 ischemic stroke patients data and weather data from January 2019 to December 2021 in the southern Zhejiang Province of China. The correlation and risk between meteorological factors and the number of AIS daily cases were calculated.
Am J Primatol
January 2025
Department of Biomedical Sciences, Texas A&M University College of Dentistry, Dallas, Texas, USA.
The Cayo Santiago rhesus macaque colony is a renowned primate population that has experienced significant natural and anthropogenic ecological variation in their 85-year history. Demographic and familial information is also tracked and collated for the majority of monkeys. Thus, the health history of rhesus macaques at Cayo Santiago should reflect the impacts of both environmental and genetic factors.
View Article and Find Full Text PDFEcol Lett
January 2025
Department of Cellular and Molecular Biology, Harvard University, Cambridge, Massachusetts, USA.
Soc Sci Med
December 2024
Department of Kinesiology and Health Education, University of Texas at Austin, United States.
Climate-related disasters pose significant risks to mental health and well-being globally. Individuals from disaster-prone regions, such as Puerto Rico, are at even greater risk. The devastating effects of recurrent hurricanes, compounded with pre-existing structural disparities (e.
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