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Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis

Local government officials play a central role in post-disaster community reconstruction. However, few studies have reported on the actual difficulties during a complex disaster involving a nuclear accident. A self-rated questionnaire survey was administered to a total of 583 public employees in fou...

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Autores principales: Kashiwazaki, Yuya, Matsunaga, Hitomi, Orita, Makiko, Taira, Yasuyuki, Oishi, Keiko, Takamura, Noboru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997478/
https://www.ncbi.nlm.nih.gov/pubmed/35409662
http://dx.doi.org/10.3390/ijerph19073979
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author Kashiwazaki, Yuya
Matsunaga, Hitomi
Orita, Makiko
Taira, Yasuyuki
Oishi, Keiko
Takamura, Noboru
author_facet Kashiwazaki, Yuya
Matsunaga, Hitomi
Orita, Makiko
Taira, Yasuyuki
Oishi, Keiko
Takamura, Noboru
author_sort Kashiwazaki, Yuya
collection PubMed
description Local government officials play a central role in post-disaster community reconstruction. However, few studies have reported on the actual difficulties during a complex disaster involving a nuclear accident. A self-rated questionnaire survey was administered to a total of 583 public employees in four municipalities around the Fukushima Daiichi Nuclear Power Station. The relationship between universal occupational factors and radiation disaster-specific factors on job satisfaction and intention to leave the job due to radiation anxiety was evaluated using structural equation modeling. The results showed that interpersonal problems (β = −0.246) and service years (β = −0.127) were related to job satisfaction, whereas radiation-specific factors were not related to job satisfaction, and only to the intention to leave work due to radiation anxiety. A sense of coherence was associated with job satisfaction (β = 0.373) and intention to leave work due to radiation anxiety (β = −0.182), and it served as a moderator of the universal occupational factors and the radiation disaster-specific factors. Therefore, it is suggested that outcomes could be improved through increased stress coping capacity by providing support for relationships and radiation risk communication to public employees during the disaster recovery period.
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spelling pubmed-89974782022-04-12 Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis Kashiwazaki, Yuya Matsunaga, Hitomi Orita, Makiko Taira, Yasuyuki Oishi, Keiko Takamura, Noboru Int J Environ Res Public Health Article Local government officials play a central role in post-disaster community reconstruction. However, few studies have reported on the actual difficulties during a complex disaster involving a nuclear accident. A self-rated questionnaire survey was administered to a total of 583 public employees in four municipalities around the Fukushima Daiichi Nuclear Power Station. The relationship between universal occupational factors and radiation disaster-specific factors on job satisfaction and intention to leave the job due to radiation anxiety was evaluated using structural equation modeling. The results showed that interpersonal problems (β = −0.246) and service years (β = −0.127) were related to job satisfaction, whereas radiation-specific factors were not related to job satisfaction, and only to the intention to leave work due to radiation anxiety. A sense of coherence was associated with job satisfaction (β = 0.373) and intention to leave work due to radiation anxiety (β = −0.182), and it served as a moderator of the universal occupational factors and the radiation disaster-specific factors. Therefore, it is suggested that outcomes could be improved through increased stress coping capacity by providing support for relationships and radiation risk communication to public employees during the disaster recovery period. MDPI 2022-03-27 /pmc/articles/PMC8997478/ /pubmed/35409662 http://dx.doi.org/10.3390/ijerph19073979 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kashiwazaki, Yuya
Matsunaga, Hitomi
Orita, Makiko
Taira, Yasuyuki
Oishi, Keiko
Takamura, Noboru
Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title_full Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title_fullStr Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title_full_unstemmed Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title_short Occupational Difficulties of Disaster-Affected Local Government Employees in the Long-Term Recovery Phase after the Fukushima Nuclear Accident: A Cross-Sectional Study Using Modeling Analysis
title_sort occupational difficulties of disaster-affected local government employees in the long-term recovery phase after the fukushima nuclear accident: a cross-sectional study using modeling analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997478/
https://www.ncbi.nlm.nih.gov/pubmed/35409662
http://dx.doi.org/10.3390/ijerph19073979
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