Defying Body Clock Linked to Depression and Lower Wellbeing

Summary: A new, large-scale study reveals people whose sleep patterns go against their natural circadian rhythm are more likely to develop symptoms of depression and report a decrease in wellbeing.

Source: University of Exeter

People whose sleep pattern goes against their natural body clock are more likely to have depression and lower levels of wellbeing, according to a large-scale new study.

Research led by the University of Exeter, published in Molecular Psychiatry, also found the most robust evidence to date that being genetically programmed to be an early riser is protective against major depression, and improves wellbeing. Researchers suggest this may be because society is set up to be more aligned to early risers, through the standard 9-5 working pattern.

COVID-19 has led to more flexible working patterns and this research may help make the case for more adaptable working habits to suit individuals’ needs.

The team built on previous research which mapped 351 genes linked to being an early riser, or a night owl. They used a statistical process called Mendelian Randomisation to examine whether these genes were causally associated with seven mental health and wellbeing outcomes, including major depression, using data on more than 450,000 UK adults from UK Biobank’s biomedical database and research resource. As well as the genetic information, participants also completed a questionnaire on whether they were a morning person or an evening person.

This shows a depressed looking man
Overall, the research team found that morning people were more likely to be aligned to their natural body clock. Image is in the public domain

The team also developed a new measure of “social jetlag” that measures the variation in sleep pattern between work and free days. They measured this in more than 85,000 UK Biobank participants for whom sleep data was available, via wrist-worn activity monitors. They found that people who were more misaligned from their natural body clock were more likely to report depression and anxiety and have lower wellbeing.

Lead author Jessica O’Loughlin, of the University of Exeter, said: “We found that people who were misaligned from their natural body clock were more likely to report depression, anxiety and have lower wellbeing. We also found the most robust evidence yet that being a morning person is protective of depression and improves wellbeing.

We think this could be explained by the fact that the demands of society mean night owls are more likely to defy their natural body clocks, by having to wake up early for work.”

Overall, the research team found that morning people were more likely to be aligned to their natural body clock. They then tested the effect by looking at shift workers, and found that morningness may not be protective for depression in shift workers, meaning morning people who work shifts may not have improved mental health and wellbeing, however, this was inconclusive.

Senior author Dr Jessica Tyrrell, of the University of Exeter, said: “The COVID-19 pandemic has introduced a new flexibility in working patterns for many people. Our research indicates that aligning working schedules to an individual’s natural body clock may improve mental health and wellbeing in night owls.”

The study is entitled ‘Using Mendelian Randomization methods to understand whether diurnal preference is causally related to mental health’, and published in Molecular Psychiatry. The research is supported by the Academy of Medical Sciences. The study involved collaborators from King’s College London, the University of Colorado Boulder, the University of Manchester and Monash University.

About this depression research news

Source: University of Exeter
Contact: Press Office – University of Exeter
Image: The image is in the public domain

Original Research: Open access.
Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health” by Jessica O’Loughlin, Francesco Casanova, Samuel E. Jones, Saskia P. Hagenaars, Robin N. Beaumont, Rachel M. Freathy, Edward R. Watkins, Céline Vetter, Martin K. Rutter, Sean W. Cain, Andrew J. K. Phillips, Daniel P. Windred, Andrew R. Wood, Michael N. Weedon, Jessica Tyrrell. Molecular Psychiatry


Abstract

Using Mendelian Randomisation methods to understand whether diurnal preference is causally related to mental health

Late diurnal preference has been linked to poorer mental health outcomes, but the understanding of the causal role of diurnal preference on mental health and wellbeing is currently limited. Late diurnal preference is often associated with circadian misalignment (a mismatch between the timing of the endogenous circadian system and behavioural rhythms), so that evening people live more frequently against their internal clock.

This study aims to quantify the causal contribution of diurnal preference on mental health outcomes, including anxiety, depression and general wellbeing and test the hypothesis that more misaligned individuals have poorer mental health and wellbeing using an actigraphy-based measure of circadian misalignment.

Multiple Mendelian Randomisation (MR) approaches were used to test causal pathways between diurnal preference and seven well-validated mental health and wellbeing outcomes in up to 451,025 individuals. In addition, observational analyses tested the association between a novel, objective measure of behavioural misalignment (Composite Phase Deviation, CPD) and seven mental health and wellbeing outcomes.

Using genetic instruments identified in the largest GWAS for diurnal preference, we provide robust evidence that early diurnal preference is protective for depression and improves wellbeing. For example, using one-sample MR, a twofold higher genetic liability of morningness was associated with lower odds of depressive symptoms (OR: 0.92, 95% CI: 0.88, 0.97).

It is possible that behavioural factors including circadian misalignment may contribute in the chronotype depression relationship, but further work is needed to confirm these findings.

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