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The role of accelerometer-derived sleep traits on glycated haemoglobin and glucose levels: a Mendelian randomization study.

Authors :
Liu J
Richmond RC
Anderson EL
Bowden J
Barry CS
Dashti HS
Daghlas IS
Lane JM
Kyle SD
Vetter C
Morrison CL
Jones SE
Wood AR
Frayling TM
Wright AK
Carr MJ
Anderson SG
Emsley RA
Ray DW
Weedon MN
Saxena R
Rutter MK
Lawlor DA
Source :
Scientific reports [Sci Rep] 2024 Jun 28; Vol. 14 (1), pp. 14962. Date of Electronic Publication: 2024 Jun 28.
Publication Year :
2024

Abstract

Self-reported shorter/longer sleep duration, insomnia, and evening preference are associated with hyperglycaemia in observational analyses, with similar observations in small studies using accelerometer-derived sleep traits. Mendelian randomization (MR) studies support an effect of self-reported insomnia, but not others, on glycated haemoglobin (HbA1c). To explore potential effects, we used MR methods to assess effects of accelerometer-derived sleep traits (duration, mid-point least active 5-h, mid-point most active 10-h, sleep fragmentation, and efficiency) on HbA1c/glucose in European adults from the UK Biobank (UKB) (nā€‰=ā€‰73,797) and the MAGIC consortium (nā€‰=ā€‰146,806). Cross-trait linkage disequilibrium score regression was applied to determine genetic correlations across accelerometer-derived, self-reported sleep traits, and HbA1c/glucose. We found no causal effect of any accelerometer-derived sleep trait on HbA1c or glucose. Similar MR results for self-reported sleep traits in the UKB sub-sample with accelerometer-derived measures suggested our results were not explained by selection bias. Phenotypic and genetic correlation analyses suggested complex relationships between self-reported and accelerometer-derived traits indicating that they may reflect different types of exposure. These findings suggested accelerometer-derived sleep traits do not affect HbA1c. Accelerometer-derived measures of sleep duration and quality might not simply be 'objective' measures of self-reported sleep duration and insomnia, but rather captured different sleep characteristics.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
38942746
Full Text :
https://doi.org/10.1038/s41598-024-58007-9