Abstract
This study aims to explore if objectively and subjectively measured sleep parameters are associated with physical and mental health-related quality of life in a multiethnic working population in Singapore. We performed a cross-sectional analysis with data from 329 full-time employees enrolled in a workplace cohort study in Singapore. The Short-Form 36v2 (SF-36v2) survey was used to assess health-related quality of life, in terms of physical and mental health. Subjective and objective sleep parameters were measured using the Pittsburgh Sleep Quality Index and wrist actigraphy, respectively. Generalized linear modeling was performed to examine the association between sleep parameters and health-related quality of life. After adjusting for confounders, subjectively measured sleep disturbances were associated with a lower physical health-related quality of life, whereas higher, objectively measured sleep efficiency was associated with greater physical health-related quality of life. Subjectively measured daytime dysfunction was associated with impaired mental health-related quality of life. Using both objective and subjective measurements of sleep, the current study suggests that there is an association between sleep and health-related quality of life. Workplace health-promotion planners in Singapore should consider programmes that educate workers on better sleep hygiene practices in an effort to improve sleep and health-related quality of life.
Highlights
The sleep-wake cycle is a complex phenomenon that encompasses several physiological and behavioral oscillations [1]
We conducted a cross-sectional analysis of data of 329 adults (21 years and above) who were participating in a workplace cohort study in Singapore
The present study studied a non-clinical sample of 329 fulltime workers in Singapore to explore if objectively and subjectively measured sleep parameters were associated with physical and mental health-related quality of life
Summary
The sleep-wake cycle is a complex phenomenon that encompasses several physiological and behavioral oscillations [1]. The average full-time worker in the U.S and the EU worker spent 35 h and 42 h working per week, respectively [7]. Another challenge to both sleep quality and duration for residents of Singapore is the excessively floodlit society in which they live as the city-state is reported to be the most light-polluted country in the world [8]. Given the prevalence of poor sleep quality, daytime fatigue, and short sleep duration of residents in Singapore [5,9], research is needed to examine how sleep impacts the health-related quality of life of working populations in Singapore
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