Sleep health dimensions and shift work as longitudinal predictors of cognitive performance in the UK Biobank cohort

Author:

Ell Johanna1ORCID,Schiel Julian E1ORCID,Feige Bernd1ORCID,Riemann Dieter12ORCID,Nyhuis Casandra C3ORCID,Fernandez-Mendoza Julio4ORCID,Vetter Céline5ORCID,Rutter Martin K67ORCID,Kyle Simon D8ORCID,Spiegelhalder Kai1ORCID

Affiliation:

1. Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Centre—University of Freiburg, University of Freiburg , Freiburg , Germany

2. Faculty of Medicine, Center for Basics in NeuroModulation (NeuroModulBasics), University of Freiburg , Freiburg , Germany

3. Department of Public Health Sciences, Pennsylvania State University College of Medicine , Hershey, PA 17033 , USA

4. Sleep Research & Treatment Center, Department of Psychiatry & Behavioral Health, Penn State University, College of Medicine , Hershey, Pennsylvania , USA

5. Department of Integrative Physiology, University of Colorado Boulder , Boulder, CO , USA

6. Faculty of Biology, Medicine and Health, Centre for Biological Timing, University of Manchester , Manchester , UK

7. Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre , Manchester , UK

8. Nuffield Department of Clinical Neurosciences, Sleep and Circadian Neuroscience Institute (SCNi), University of Oxford , Oxford , UK

Abstract

AbstactStudy ObjectivesThe long-term effects of sleep health and shift work on cognitive performance are unclear. In addition, research has been limited by small sample sizes and short follow-up periods. We conducted one of the largest examinations of the longitudinal influence of sleep health dimensions and shift work on cognitive performance in people of middle and old age using data from the UK Biobank. The hypothesis was that poor sleep health and shift work would predict lower cognitive performance.MethodsSelf-reported sleep duration, daytime sleepiness, insomnia symptoms, chronotype, and shift work status were assessed as predictors at baseline. Cognitive performance was operationalized by a touchscreen test battery at follow-up between 7.4 ± 2.2 and 9.0 ± 0.9 years after baseline assessment, depending on the specific task. Models were performed for each cognitive domain including relevant confounders (e.g. depression). The alpha level was set at p < 0.01 for all analyzes.ResultsThe study sample comprised 9394 participants for the reasoning task, 30 072 for the reaction time task, 30 236 for the visual memory task, 2019 for the numeric memory task, and 9476 for the prospective memory task. Shift work without night shifts (β = −2.0 × 10−1 ± 6.5 × 10−2, p = 0.002) and with night shifts (β = −1.9 × 10−1 ± 7.2 × 10−2, p = 0.010) predicted a significantly reduced performance in the reasoning task. Short sleep duration (β = −2.4 × 10−1 ± 7.9 × 10−2, p = 0.003) and shift work without night shifts (β = −3.9 × 10−1 ± 1.2 × 10−1, p = 0.002) predicted a significantly lower performance in the task probing prospective memory.ConclusionsOur results suggest that, after controlling for confounding variables, shift work, and short sleep duration are important predictors for cognitive performance in people of middle and old age. Further work is required to examine causal mechanisms of the observed associations.

Funder

National Institute of Health and Care Research (NIHR) Oxford Health Biomedical Research Centre

NIHR Efficacy and Mechanisms Evaluation Programme

NIHR Programme Grants for Applied Research

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

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