Sex differences and sex bias in human circadian and sleep physiology research

Author:

Spitschan Manuel123ORCID,Santhi Nayantara4ORCID,Ahluwalia Amrita5ORCID,Fischer Dorothee6ORCID,Hunt Lilian78ORCID,Karp Natasha A9ORCID,Lévi Francis101112ORCID,Pineda-Torra Inés13ORCID,Vidafar Parisa1415ORCID,White Rhiannon310ORCID

Affiliation:

1. Department of Sport and Health Sciences, Technical University of Munich

2. Translational Sensory & Circadian Neuroscience, Max Planck Institute for Biological Cybernetics

3. Department of Experimental Psychology, University of Oxford

4. Department of Psychology, Northumbria University

5. William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London

6. German Aerospace Center, Institute of Aerospace Medicine, Sleep and Human Factors Research

7. Wellcome Trust

8. Equality, Diversity and Inclusion in Science and Health Group

9. Data Sciences and Quantitative Biology, Discovery Science, R&D, AstraZeneca

10. Warwick Medical School, University of Warwick

11. Hepatobiliary Center, Hospital Paul Brousse (AP-HP)

12. UPR Chronotherapy, Cancer and Transplantation, Medical School, Paris-Saclay University

13. Centre for Cardiometabolic and Vascular Science, Division of Medicine, University College London

14. Sleep and Circadian Research Laboratory, Department of Psychiatry, University of Michigan

15. School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University

Abstract

Growing evidence shows that sex differences impact many facets of human biology. Here we review and discuss the impact of sex on human circadian and sleep physiology, and we uncover a data gap in the field investigating the non-visual effects of light in humans. A virtual workshop on the biomedical implications of sex differences in sleep and circadian physiology led to the following imperatives for future research: i) design research to be inclusive and accessible; ii) implement recruitment strategies that lead to a sex-balanced sample; iii) use data visualization to grasp the effect of sex; iv) implement statistical analyses that include sex as a factor and/or perform group analyses by sex, where possible; v) make participant-level data open and available to facilitate future meta-analytic efforts.

Funder

Wellcome Trust

Deutsche Forschungsgemeinschaft

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference78 articles.

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