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Cited by 38Sleep and related disordersSleep and Work-Related FatigueObstructive Sleep Apnea Research

Sleep trajectories and mediators of poor sleep: findings from the longitudinal analysis of 41,094 participants of the UK Biobank cohort

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Fatima, Yaqoot, Bucks, Romola S., Mamun, Abdullah A., Skinner, Isabelle, Rosenzweig, Ivana, Leschziner, Guy, Skinner, Timothy C.·2020·Sleep Medicine
DOI 10.1016/j.sleep.2020.10.020
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Abstract

Study objectives To explore sleep trajectories and identify the risk factors and mediators of poor sleep in middle-aged adults.Methods Group-based multi-trajectory modelling was applied to the three waves of sleep data the from UK Biobank cohort to identify latent trajectories of sleep and group characteristics. Self-reported sleep duration, sleep problems (based on insomnia symptoms, snoring and trouble waking up) and daytime sleepiness (based on daytime tiredness and sleepiness) were included in the trajectory analyses. Multinomial logistic regression and mediation analysis were used to identify the main factors associated with poor sleep.Results Analysis of sleep data from 41,094 participants (51.9% females) with a median age of 57 years (interquartile range 50-62 years) identified three distinct trajectories of sleep: healthy sleepers (40.8%); borderline poor sleepers (31.6%); and poor sleepers (27.6%). Socio-economic disadvantage, ethnic minority background, shift work, unhealthy lifestyle, poor health, depressive symptoms and obesity were the main risk factors associated with poor sleep. Around a third of the total effect of socio-economic deprivation on poor sleep was mediated through depressive symptoms.Conclusions The distinct groups with differential risk for developing sleep issues and stable sleep trajectories highlight the non-transient nature of sleep issues. Early management of depressive symptoms can help in reducing the future burden of poor sleep. Due to the increased risk of poor sleep, people from socio-economically deprived groups, particularly females from ethnic minorities, should be the highest priority for interventions aiming to improve population sleep health.

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Authors
Fatima, Y., Bucks, R. S., Mamun, A. A., Skinner, I., Rosenzweig, I., Leschziner, G., & Skinner, T. C.
Affiliations
  • The University of Queensland (AU)
  • The University of Western Australia (AU)
  • James Cook University (AU)
  • King's College London (GB)
  • Guy's Hospital (GB)
  • University of Copenhagen (DK)
Corresponding author
Fatima, Yaqoot
ORCID
Venue
Sleep Medicine
Publisher
Elsevier BV
Published
2020-12
Volume
76
Pages
120-127
ISSN
1389-9457 (ISSN-L)
DOI
10.1016/j.sleep.2020.10.020
OpenAlex
W3093937596
Cited by
38
References
51
Citations by year
2026: 2 · 2025: 5 · 2024: 11 · 2023: 12 · 2022: 3 · 2021: 5
FWCI
4.83
Type
journal article
Language
en
Open access
Licence
Locations
  • Sleep Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
  • UWA Profiles and Research Repository (UWA) (submittedVersion, other-oa)
  • ResearchOnline at James Cook University (James Cook University) (submittedVersion)
  • Figshare (submittedVersion)
Funders
Medical Research Council (MC_PC_17228)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
Keywords
sleep trajectories, poor sleep quality, middle-aged adults, sleep duration, insomnia symptoms, snoring, daytime sleepiness, socioeconomic deprivation, ethnic minorities, shift work, depressive symptoms, obesity, mediation, sleep health
MeSH terms
Ethnicity, Female, United Kingdom, Humans, Sleep Initiation and Maintenance Disorders, Longitudinal Studies, Male, Middle Aged, Minority Groups, Risk Factors, Sleep, Socioeconomic Factors, Biological Specimen Banks

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