Impact of change in bedtime variability on body composition and inflammation: secondary findings from the Go Red for Women Strategically Focused Research Network

Marie-Pierre St-Onge, Ayanna Campbell, Faris Zuraikat, Bin Cheng, Riddhi Shah, Jeffrey S Berger, Rosemary V Sampogna, Sanja Jelic, Marie-Pierre St-Onge, Ayanna Campbell, Faris Zuraikat, Bin Cheng, Riddhi Shah, Jeffrey S Berger, Rosemary V Sampogna, Sanja Jelic

Abstract

Variability in daily sleep patterns is an emerging factor linked to metabolic syndrome. However, whether reducing bedtime variability improves markers of disease risk has not been tested. Here, we assessed whether body composition and inflammation were impacted by changes in bedtime variability over a 6-week period, during which, women were instructed to maintain healthy, habitual sleep (HS) patterns (one arm of a randomized trial). Data were available for 37 women (age 34.9 ± 12.4 years, BMI 24.7 ± 2.9 kg/m2, sleep duration 7.58 ± 0.49 h/night). Body composition and leukocyte platelet aggregates (LPA) were measured at baseline and endpoint using magnetic resonance imaging and flow cytometry, respectively. Sleep data were collected daily using wrist actigraphy. Change in bedtime variability was calculated as the difference in the standard deviation (SD) of bedtimes measured during the 2-week screening period and the 6-week intervention period. Results showed that women who reduced their bedtime variability (n = 29) during the intervention had reductions in total (P < 0.001) and subcutaneous adipose tissue (P < 0.001) relative to women who increased/maintained (n = 8) bedtime variability. Similar effects were observed for LPA levels between women who reduced vs increased/maintained bedtime variability (P = 0.011). Thus, reducing bedtime variability, without changing sleep duration, could improve cardiometabolic health by reducing adiposity and inflammation.

References

    1. St-Onge MP, Grandner MA, Brown D, Conroy MB, Jean-Louis G, Coons M et al. Sleep Duration and Quality: Impact on Lifestyle Behaviors and Cardiometabolic Health: A Scientific Statement From the American Heart Association. Circulation 2016; 134(18): e367–e386.
    1. Huang T, Redline S. Cross-sectional and Prospective Associations of Actigraphy-Assessed Sleep Regularity With Metabolic Abnormalities: The Multi-Ethnic Study of Atherosclerosis. Diabetes care 2019.
    1. Neeland IJ, Ross R, Despres JP, Matsuzawa Y, Yamashita S, Shai I et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endocrinol 2019; 7(9): 715–725.
    1. Lebas H, Yahiaoui K, Martos R, Boulaftali Y. Platelets Are at the Nexus of Vascular Diseases. Front Cardiovasc Med 2019; 6: 132.
    1. Minervino D, Gumiero D, Nicolazzi MA, Carnicelli A, Fuorlo M, Guidone C et al. Leukocyte Activation in Obese Patients: Effect of Bariatric Surgery. Medicine (Baltimore) 2015; 94(40): e1382.
    1. Quante M, Kaplan ER, Cailler M, Rueschman M, Wang R, Weng J et al. Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms. Nat Sci Sleep 2018; 10: 13–20.
    1. Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nystrom C, Mora-Gonzalez J, Lof M et al. Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations. Sports medicine 2017; 47(9): 1821–1845.
    1. Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J et al. Visceral adipose tissue: relations between single-slice areas and total volume. The American journal of clinical nutrition 2004; 80(2): 271–8.
    1. Gallagher D, Kuznia P, Heshka S, Albu J, Heymsfield SB, Goodpaster B et al. Adipose tissue in muscle: a novel depot similar in size to visceral adipose tissue. The American journal of clinical nutrition 2005; 81(4): 903–10.
    1. Nhek S, Clancy R, Lee KA, Allen NM, Barrett TJ, Marcantoni E et al. Activated Platelets Induce Endothelial Cell Activation via an Interleukin-1beta Pathway in Systemic Lupus Erythematosus. Arterioscler Thromb Vasc Biol 2017; 37(4): 707–716.
    1. Newman JD, Echagarruga CT, Ogando YM, Montenont E, Chen Y, Fisher EA et al. Hyperglycemia enhances arsenic-induced platelet and megakaryocyte activation. J Transl Med 2017; 15(1): 55.
    1. Kim M, Sasai H, Kojima N, Kim H. Objectively measured night-to-night sleep variations are associated with body composition in very elderly women. Journal of sleep research 2015; 24(6): 639–47.
    1. Papandreou C, Babio N, Diaz-Lopez A, Martinez-Gonzalez MA, Becerra-Tomas N, Corella D et al. Sleep Duration is Inversely Associated with Serum Uric Acid Concentrations and Uric Acid to Creatinine Ratio in an Elderly Mediterranean Population at High Cardiovascular Risk. Nutrients 2019; 11(4).
    1. Freedman JE, Larson MG, Tanriverdi K, O’Donnell CJ, Morin K, Hakanson AS et al. Relation of platelet and leukocyte inflammatory transcripts to body mass index in the Framingham heart study. Circulation 2010; 122(2): 119–29.
    1. Heymsfield SB, Ebbeling CB, Zheng J, Pietrobelli A, Strauss BJ, Silva AM et al. Multi-component molecular-level body composition reference methods: evolving concepts and future directions. Obesity reviews : an official journal of the International Association for the Study of Obesity 2015; 16(4): 282–94.

Source: PubMed

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