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P018 The Relationships Between Multidimensional Sleep Health and Work Productivity in Individuals with Neurological Conditions

Numerous studies have reported the negative impacts of poor sleep on work productivity in the general population. However, despite the known sleep issues individuals living with neurological conditions experience, no study has explored its impact on their work productivity. Sleep health is a concept...

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Detalles Bibliográficos
Autores principales: Turner, M, Laws, M, Griffiths, M, Turner, K, Dempsey, L, Laws, S, Cruickshank, T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591658/
http://dx.doi.org/10.1093/sleepadvances/zpad035.103
Descripción
Sumario:Numerous studies have reported the negative impacts of poor sleep on work productivity in the general population. However, despite the known sleep issues individuals living with neurological conditions experience, no study has explored its impact on their work productivity. Sleep health is a concept that includes multiple domains of sleep, measured with a combination of objective and subjective measures. Therefore, this study aimed to ascertain the associations between sleep health and its domains and work productivity in individuals with neurological conditions. Sleep health domains were determined through actigraphy data collected over one week and sleep questionnaires. Work productivity was assessed via the Work Productivity and Activity Impairment Questionnaire. A comparison of sleep health scores between demographic variables was performed using Mann-Whitney U and Kruskal Wallis Tests. Associations between the sleep health domains and work productivity were performed using linear regression models. There were no significant differences in sleep health scores between sex, smoking status, education level, employment status or any work productivity domain. Individuals with extreme sleep timing had greater absenteeism (22.99%) than the non-extreme group. Individuals with extreme sleep quality had an increase in presenteeism (30.85%), work productivity loss (26.44%) and activity impairment (25.81%) compared to those in the non-extreme group. The findings from this study highlight that self-reported sleep quality has the largest impact on work productivity. Improving individuals' sleep quality through triage for potential sleep disorders or improving their sleep hygiene (sleep behaviour and environment) may positively impact work productivity.