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Psychosocial Features of Shift Work Disorder.
Vallières, Annie; Mérette, Chantal; Pappathomas, Alric; Roy, Monica; Bastien, Célyne H.
Afiliação
  • Vallières A; École de Psychologie, Université Laval, Québec, QC G1V 0A6, Canada.
  • Mérette C; Centre de Recherche CERVO, Québec, QC G1E 1T2, Canada.
  • Pappathomas A; Centre de Recherche du Centre Hospitalier Universitaire de Québec-Université Laval, Québec, QC G1L 3L5, Canada.
  • Roy M; Centre de Recherche CERVO, Québec, QC G1E 1T2, Canada.
  • Bastien CH; Département de Psychiatrie et de Neurosciences, Faculté de Médecine, Université Laval, Québec, QC G1V 0A6, Canada.
Brain Sci ; 11(7)2021 Jul 14.
Article em En | MEDLINE | ID: mdl-34356162
ABSTRACT
To better understand Shift Work Disorder (SWD), this study investigates insomnia, sleepiness, and psychosocial features of night workers. The study compares night workers with or without SWD to day workers with or without insomnia. Seventy-nine night workers and 40 day workers underwent diagnostic interviews for sleep disorders and for psychopathologies. They completed questionnaires and a sleep diary for 14 days. The design was observatory upon two factors Work schedule (night, day work) and sleep (good sleep, SWD/insomnia). Two-way ANCOVAs were conducted on psychosocial variables, and effect size were calculated. The clinical approach chosen led to distinct groups of workers. Night workers slept several periods (main sleep period after work, naps, nights on days off). High total wake time and low total sleep time characterized sleep in SWD. Most night workers with SWD still complained of sleepiness after main sleep. Cognitive activation distinguished groups of night workers. All other differences in psychosocial variables between night workers groups were similar to, but smaller than, the ones between day workers. The evaluation of SWD should consider all sleep periods of night workers with particular attention to self-reported total wake time, state sleepiness, and level of cognitive activation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article