TY - JOUR
T1 - Sleep health dimensions and shift work as longitudinal predictors of cognitive performance in the UK Biobank cohort
AU - Ell, Johanna
AU - Schiel, Julian E.
AU - Feige, Bernd
AU - Riemann, Dieter
AU - Nyhuis, Casandra C.
AU - Fernandez-Mendoza, Julio
AU - Vetter, Céline
AU - Rutter, Martin K.
AU - Kyle, Simon D.
AU - Spiegelhalder, Kai
N1 - Publisher Copyright:
© 2023 Oxford University Press. All rights reserved.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Study Objectives: The 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. Methods: Self-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. Results: The 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 (ß = -2.0 × 10-1 ± 6.5 × 10-2, p = 0.002) and with night shifts (ß = -1.9 × 10-1 ± 7.2 × 10-2, p = 0.010) predicted a significantly reduced performance in the reasoning task. Short sleep duration (ß = -2.4 × 10-1 ± 7.9 × 10-2, p = 0.003) and shift work without night shifts (ß = -3.9 × 10-1 ± 1.2 × 10-1, p = 0.002) predicted a significantly lower performance in the task probing prospective memory. Conclusions: Our 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.
AB - Study Objectives: The 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. Methods: Self-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. Results: The 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 (ß = -2.0 × 10-1 ± 6.5 × 10-2, p = 0.002) and with night shifts (ß = -1.9 × 10-1 ± 7.2 × 10-2, p = 0.010) predicted a significantly reduced performance in the reasoning task. Short sleep duration (ß = -2.4 × 10-1 ± 7.9 × 10-2, p = 0.003) and shift work without night shifts (ß = -3.9 × 10-1 ± 1.2 × 10-1, p = 0.002) predicted a significantly lower performance in the task probing prospective memory. Conclusions: Our 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.
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U2 - 10.1093/sleep/zsad093
DO - 10.1093/sleep/zsad093
M3 - Article
C2 - 37004209
AN - SCOPUS:85163845229
SN - 0161-8105
VL - 46
JO - Sleep
JF - Sleep
IS - 6
M1 - zsad093
ER -