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Self-reported sleep quality is associated with central hemodynamics in healthy individuals

Abstract

Background

Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.

Methods

Thirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0–5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.

Results

Central pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0–5) sleepers (P < 0.05). Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (P < 0.05) of both central pulse (β = 0.469) and augmentation (β = 0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (r = 0.045; P > 0.05).

Conclusions

Significant relationships between central pulse and augmentation pressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics.

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References

  1. Kwok CS, Kontopantelis E, Kuligowski G, Gray M, Muhyaldeen A, Gale CP, Peat GM, Cleator J, Chew-Graham C, Loke YK, Mamas MA (2018) Self-reported sleep duration and quality and cardiovascular disease and mortality: a dose-response meta-analysis. J Am Heart Assoc 7(15):e008552

    PubMed  PubMed Central  Google Scholar 

  2. Kinlay S, Ganz P (1997) Role of endothelial dysfunction in coronary artery disease and implications for therapy. Am J Cardiol 80(9a):11i–16i

    CAS  PubMed  Google Scholar 

  3. Osonoi Y, Mita T, Osonoi T, Saito M, Tamasawa A, Nakayama S et al (2015) Poor sleep quality is associated with increased arterial stiffness in Japanese patients with type 2 diabetes mellitus. BMC Endocr Disord 15:29

    PubMed  PubMed Central  Google Scholar 

  4. Calvin AD, Covassin N, Kremers WK, Adachi T, Macedo P, Albuquerque FN, Bukartyk J, Davison DE, Levine JA, Singh P, Wang S, Somers VK (2014) Experimental sleep restriction causes endothelial dysfunction in healthy humans. J Am Heart Assoc 3(6):e001143

    PubMed  PubMed Central  Google Scholar 

  5. Sunbul M, Kanar BG, Durmus E, Kivrak T, Sari I (2014) Acute sleep deprivation is associated with increased arterial stiffness in healthy young adults. Sleep Breath 18(1):215–220

    PubMed  Google Scholar 

  6. Agabiti-Rosei E, Mancia G, O'Rourke MF, Roman MJ, Safar ME, Smulyan H, Wang JG, Wilkinson IB, Williams B, Vlachopoulos C (2007) Central blood pressure measurements and antihypertensive therapy: a consensus document. Hypertension. 50(1):154–160

    CAS  PubMed  Google Scholar 

  7. Laurent S, Cockcroft J, Van Bortel L, Boutouyrie P, Giannattasio C, Hayoz D et al (2006) Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur Heart J 27(21):2588–2605

    PubMed  Google Scholar 

  8. Roman MJ, Devereux RB, Kizer JR, Okin PM, Lee ET, Wang W, Umans JG, Calhoun D, Howard BV (2009) High central pulse pressure is independently associated with adverse cardiovascular outcome the strong heart study. J Am Coll Cardiol 54(18):1730–1734

    PubMed  PubMed Central  Google Scholar 

  9. Chirinos JA, Zambrano JP, Chakko S, Veerani A, Schob A, Willens HJ, Perez G, Mendez AJ (2005) Aortic pressure augmentation predicts adverse cardiovascular events in patients with established coronary artery disease. Hypertension. 45(5):980–985

    CAS  PubMed  Google Scholar 

  10. Calhoun DA, Harding SM (2010) Sleep and hypertension. Chest. 138(2):434–443

    PubMed  PubMed Central  Google Scholar 

  11. Copinschi G (2005) Metabolic and endocrine effects of sleep deprivation. Essent Psychopharmacol 6(6):341–347

    PubMed  Google Scholar 

  12. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28(2):193–213

    CAS  Google Scholar 

  13. Hawng M, Yoo J, Kim H, Hwang C, Mackay K, Hemstreet O (2014) Validity and reliability of aortic pulse wave velocity and augmentation index determined by the new cuff-based SymgoCOR Xcel. J Hum Hypertens 28:475–481

    Google Scholar 

  14. Wilkinson IB, Fuchs SA, Jansen IM, Spratt JC, Murray GD, Cockcroft JR, Webb DJ (1998) Reproducibility of pulse wave velocity and augmentation index measured by pulse wave analysis. J Hypertens 16(12 Pt 2):2079–2084

    CAS  PubMed  Google Scholar 

  15. Butlin M, Qasem A, Avolio AP (2012) Estimation of central aortic pressure waveform features derived from the brachial cuff volume displacement waveform. Conf Proc IEEE Eng Med Biol Soc 2012:2591–2594

    PubMed  Google Scholar 

  16. Karamanoglu M, O'Rourke MF, Avolio AP, Kelly RP (1993) An analysis of the relationship between central aortic and peripheral upper limb pressure waves in man. Eur Heart J 14(2):160–167

    CAS  PubMed  Google Scholar 

  17. Townsend RR, Black HR, Chirinos JA, Feig PU, Ferdinand KC, Germain M et al (2015) Clinical use of pulse wave analysis: proceedings from a symposium sponsored by North American Artery. J Clin Hypertens (Greenwich) 17(7):503–513

    Google Scholar 

  18. Carey M, Markham C, Gaffney P, Boran C, Maher V (2006) Validation of a point of care lipid analyser using a hospital based reference laboratory. Ir J Med Sci 175(4):30–35

    CAS  PubMed  Google Scholar 

  19. Vennin S, Li Y, Willemet M, Fok H, Gu H, Charlton P, Alastruey J, Chowienczyk P (2017) Identifying hemodynamic determinants of pulse pressure. Hypertension. 70(6):1176–1182

    CAS  PubMed  Google Scholar 

  20. Choi Y, Akazawa N, Miyaki S, Ra S, Matsubara T, Maeda S (2013) Sleep quality and arterial stiffness in middle-aged and older women. Sleep Med 14:e25

    Google Scholar 

  21. Covic A, Siriopol D (2015) Pulse wave velocity ratio: the new “gold standard” for measuring arterial stiffness. Hypertension. 65(2):289–290

    CAS  PubMed  Google Scholar 

  22. Taylor JL, Curry TB, Matzek LJ, Joyner MJ, Casey DP (2014) Acute effects of a mixed meal on arterial stiffness and central hemodynamics in healthy adults. Am J Hypertens 27(3):331–337

    CAS  PubMed  Google Scholar 

  23. Wright KP Jr, Drake AL, Frey DJ, Fleshner M, Desouza CA, Gronfier C et al (2015) Influence of sleep deprivation and circadian misalignment on cortisol, inflammatory markers, and cytokine balance. Brain Behav Immun 47:24–34

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Kostov K, Halacheva L (2018) Role of magnesium deficiency in promoting atherosclerosis, endothelial dysfunction, and arterial stiffening as risk factors for hypertension. Int J Mol Sci 19(6)

  25. Ollerton RL, Playle R, Ahmed K, Dunstan FD, Luzio SD, Owens DR (1999) Day-to-day variability of fasting plasma glucose in newly diagnosed type 2 diabetic subjects. Diabetes Care 22(3):394–398

    CAS  PubMed  Google Scholar 

  26. Rizzoni D, Porteri E, Guelfi D, Muiesan ML, Valentini U, Cimino A, Girelli A, Rodella L, Bianchi R, Sleiman I, Rosei EA (2001) Structural alterations in subcutaneous small arteries of normotensive and hypertensive patients with non-insulin-dependent diabetes mellitus. Circulation. 103(9):1238–1244

    CAS  PubMed  Google Scholar 

  27. Agnoletti D, Lieber A, Zhang Y, Protogerou AD, Borghi C, Blacher J, Safar ME (2013) Central hemodynamic modifications in diabetes mellitus. Atherosclerosis. 230(2):315–321

    CAS  PubMed  Google Scholar 

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Acknowledgments

The authors would like to thank Dr. Scott Collier, Ph.D., for comments on a preliminary draft of this manuscript.

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Authors

Contributions

GJG conceived and designed the research and collected the data. GJG, MNC, SPL, SMR, and JC analyzed the data, interpreted the results, and prepared the tables. GJG, SPL, JC, AAF, SMR, and MNC drafted, edited, revised, and approved the final version of this manuscript.

Corresponding author

Correspondence to Gregory J. Grosicki.

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The authors declare that they have no conflict of interest.

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All procedures were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments.

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Informed consent was obtained from all participants in the study.

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Culver, M.N., Langan, S.P., Carreker, J. et al. Self-reported sleep quality is associated with central hemodynamics in healthy individuals. Sleep Breath 24, 1083–1088 (2020). https://doi.org/10.1007/s11325-020-02082-5

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