Literature DB >> 33268612

[Questionnaire Survey of Fukushima Daiichi Nuclear Power Plant Workers in 2016 on Knowledge and Anxiety About Radiation].

Takuya Hayashi1, Kosuke Mafune2, Naoki Matsuda3, Arifumi Hasegawa4, Takaaki Kato5, Reiko Kanda6, Yoshiya Shimada7, Kenichi Satoh8, Koji Mori9, Seiichiro Tateishi10, Masaoki Kohzaki11, Ryuji Okazaki11.   

Abstract

The results of a survey of radiation workers suggest that they are worried about the effects of radiation exposure on health, and approximately 30% of Fukushima Daiichi Nuclear Power Plant (FDNPP) workers have anxiety. This questionnaire survey reveals that the higher the frequency of radiation education, the higher the knowledge of radiation the workers will have, and that the higher the level of knowledge, the lower the anxiety. To reduce anxiety, it is important to increase knowledge about radiation through radiation education. However, even those workers who had radiation education several times still had anxiety. According to the Ordinance on the Prevention of Ionizing Radiation Hazards, the time spent on education about the effects of radiation on the human body is only about 30 minutes. This education is not enough to reduce anxiety. FDNPP workers needed more effective education to increase their knowledge and to reduce their anxiety.

Entities:  

Keywords:  Fukushima Daiichi Nuclear Power Plant workers; anxiety about radiation; knowledge about radiation; questionnaire survey; radiation education

Year:  2020        PMID: 33268612     DOI: 10.7888/juoeh.42.339

Source DB:  PubMed          Journal:  J UOEH        ISSN: 0387-821X


  2 in total

1.  Objective stress values during radiation emergency medicine for future human resources: Findings from a survey of nurses.

Authors:  Keita Iyama; Yoshinobu Sato; Takashi Ohba; Arifumi Hasegawa
Journal:  PLoS One       Date:  2022-09-14       Impact factor: 3.752

2.  Contribution of radiation education to anxiety reduction among Fukushima Daiichi Nuclear Power Plant workers: a cross sectional study using a text mining method.

Authors:  Ryuji Okazaki; Kenichi Satoh; Arifumi Hasegawa; Naoki Matsuda; Takaaki Kato; Reiko Kanda; Yoshiya Shimada; Takuya Hayashi; Masaoki Kohzaki; Kosuke Mafune; Koji Mori
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

  2 in total

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