PUFA ω-3 and ω-6 biomarkers and sleep: a pooled analysis of cohort studies on behalf of the Fatty Acids and Outcomes Research Consortium (FORCE)

Author:

Murphy Rachel A12ORCID,Tintle Nathan34,Harris William S45ORCID,Darvishian Maryam1,Marklund Matti6789,Virtanen Jyrki K10,Hantunen Sari10,de Mello Vanessa D10,Tuomilehto Jaakko111213,Lindström Jaana14,Bolt Matthew A3,Brouwer Ingeborg A1516,Wood Alexis C17,Senn Mackenzie17,Redline Susan1819,Tsai Michael Y20,Gudnason Vilmundur21,Eiriksdottir Gudny21ORCID,Lindberg Eva22,Shadyab Aladdin H23,Liu Buyun24,Carnethon Mercedes25,Uusitupa Matti10,Djousse Luc26,Risérus Ulf8,Lind Lars8ORCID,van Dam Rob M27,Koh Woon-Puay2829ORCID,Shi Peilin9,Siscovick David30,Lemaitre Rozenn N31,Mozaffarian Dariush9ORCID

Affiliation:

1. Cancer Control Research, BC Cancer, Vancouver, BC, Canada

2. School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada

3. Department of Mathematics and Statistics, Dordt College, Sioux Center, IA, USA

4. Fatty Acid Research Institute, Sioux Falls, SD, USA

5. Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA

6. The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia

7. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

8. Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala, Sweden

9. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA

10. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland

11. Public Health, University of Helsinki, Helsinki, Finland

12. National Institute for Health and Welfare, Helsinki, Finland

13. National School of Public Health, Madrid, Spain

14. Finnish Institute for Health and Welfare, Helsinki, Finland

15. Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

16. Amersterdam Public Health Research Institute, De Boelelaan, Amsterdam, Netherlands

17. USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA

18. Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA

19. Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA

20. Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA

21. Icelandic Heart Association Research Institute, Kópavogur, Iceland

22. Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Sweden

23. Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA

24. Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA

25. Department of Preventive Medicine, Northwestern University, Chicago, IL, USA

26. Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA

27. Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore

28. Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore

29. Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A *STAR), Singapore

30. New York Academy of Medicine, New York, NY, USA

31. Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA

Abstract

ABSTRACT Background n-3 and n-6 PUFAs have physiologic roles in sleep processes, but little is known regarding circulating n-3 and n-6 PUFA and sleep parameters. Objectives We sought to assess associations between biomarkers of n-3 and n-6 PUFA intake with self-reported sleep duration and difficulty falling sleeping in the Fatty Acids and Outcome Research Consortium. Methods Harmonized, de novo, individual-level analyses were performed and pooled across 12 cohorts. Participants were 35–96 y old and from 5 nations. Circulating measures included α-linolenic acid (ALA), EPA, docosapentaenoic acid (DPA), DHA, EPA + DPA + DHA, linoleic acid, and arachidonic acid. Sleep duration (10 cohorts, n = 18,791) was categorized as short (≤6 h), 7–8 h (reference), or long (≥9 h). Difficulty falling asleep (8 cohorts, n = 12,500) was categorized as yes or no. Associations between PUFAs, sleep duration, and difficulty falling sleeping were assessed by cross-sectional multinomial logistic regression using standardized protocols and covariates. Cohort-specific multivariable-adjusted ORs per quintile of PUFAs were pooled with inverse–variance weighted meta-analysis. Results In pooled analysis adjusted for sociodemographic characteristics and health status, participants with higher very long-chain n-3 PUFAs were less likely to have long sleep duration. In the top compared with the bottom quintiles, the multivariable-adjusted ORs (95% CIs) for long sleep were 0.78 (95% CI: 0.65, 0.95) for DHA and 0.76 (95% CI: 0.63, 0.93) for EPA + DPA + DHA. Significant associations for ALA and n-6 PUFA with short sleep duration or difficulty falling sleeping were not identified. Conclusions Participants with higher concentrations of very long-chain n-3 PUFAs were less likely to have long sleep duration. While objective biomarkers reduce recall bias and misclassification, the cross-sectional design limits assessment of the temporal nature of this relation. These novel findings across 12 cohorts highlight the need for experimental and biological assessments of very long-chain n-3 PUFAs and sleep duration.

Funder

Institute for the Advancement of Food and Nutrition Sciences

Canadian Cancer Society

Michael Smith Foundation for Health Research

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

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