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A cross-sectional epidemiological study of the relationship between sleep duration, quality, and rhythm and presenteeism in workers.
Itani, Osamu; Kaneita, Yoshitaka; Otsuka, Yuichiro; Tokiya, Mikiko; Jike, Maki; Matsumoto, Yuuki; Nakagome, Sachi; Kinoshita, Yu.
Afiliação
  • Itani O; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
  • Kaneita Y; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
  • Otsuka Y; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
  • Tokiya M; Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Yufu-city, Oita Japan.
  • Jike M; Department of Food Safety and Management, Faculty of Food and Health Sciences, Showa Women's University, Setagaya-ku, Tokyo Japan.
  • Matsumoto Y; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
  • Nakagome S; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
  • Kinoshita Y; Division of Public Health, Department of Social Medicine, Nihon University School of Medicine, Itabashi-ku, Tokyo Japan.
Sleep Biol Rhythms ; 20(1): 53-63, 2022 Jan.
Article em En | MEDLINE | ID: mdl-38469066
ABSTRACT
This study aims to examine the relationship of sleep (sleep duration, sleep quality, and sleep rhythm) with presenteeism in workers while controlling for other confounding factors. A total of 2375 workers of six Japanese companies received self-administered questionnaires from June to November 2018. Information on sleep duration was used to evaluate sleep quantity, the Athens Insomnia Scale (AIS) was used to evaluate sleep quality, and workers' engagement in shift work was used to determine their sleep rhythms. We used the World Health Organization Health and Work Performance Questionnaire to evaluate presenteeism. Information on lifestyle (exercise, smoking, etc.), sex, and age was also collected. We conducted a logistic regression analysis with high absolute/relative presenteeism as an objective variable, sleep duration, AIS, and shift work as dependent variables, and basic attributes and lifestyle factors as adjustment factors. Completed questionnaires were collected from 1992 workers (aged 18-79 years; 25.2% women; response rate 83.9%). Logistic regression analysis showed that high absolute presenteeism was significantly associated with poor sleep quality (high AIS score; P < 0.001) but not with sleep duration (P = 0.326) and shift work (P = 0.177). High relative absenteeism was significantly associated with poor sleep quality (high AIS score; P = 0.001) but not with sleep duration (P = 0.461) or shift work (P = 0.245). We showed that poor sleep quality is significantly associated with a high level of presenteeism. This suggests focusing on improving sleep quality is important for reducing presenteeism among workers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article