Heart rate variability helps to distinguish the intensity of menopausal symptoms: A prospective, observational and transversal study
Autoři:
Patrícia Merly Martinelli aff001; Isabel Cristina Esposito Sorpreso aff001; Rodrigo Daminello Raimundo aff001; Osvaldo de Souza Leal Junior aff002; Juliana Zangirolami-Raimundo aff001; Marcos Venicius Malveira de Lima aff001; Andrés Pérez-Riera aff001; Valdelias Xavier Pereira aff001; Khalifa Elmusharaf aff004; Vitor E. Valenti aff001; Luiz Carlos de Abreu aff001
Působiště autorů:
Laboratório de Delineamento de Estudos e Escrita Científica, Centro Universitário Saúde ABC, Santo André, São Paulo, Brazil
aff001; Laboratório de Delineamento de Estudos e Escrita Científica do Laboratório de Práticas Cientíticas, Centro Universitário Uninorte, Acre, Brazil
aff002; Disciplina de Ginecologia, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, São Paulo, Brazil
aff003; Graduate Entry Medical School, University of Limerick, Limerick, Ireland
aff004; Centro de Estudos do Sistema Nervoso Autônomo (CESNA), UNESP, Marilia, SP, Brazil
aff005
Vyšlo v časopise:
PLoS ONE 15(1)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225866
Souhrn
Heart Rate Variability (HRV) represents cardiac autonomic behavior and have been related to menopausal symptoms, mainly vasomotor symptoms and their imbalance to cardiovascular risk. It is not clear in the literature which index represents this imbalance and what is their involvement with the menopausal state. The aim of this study was to evaluate HRV in menopausal transition and post-menopausal symptoms with different intensities. This cross-sectional study was conducted in Rio Branco, State of Acre, Brazil from October 2016 to July 2017. We used Kupperman-Blatt Menopausal Index (KMI) to measure menopausal symptoms intensity. HRV analysis was performed based on the guidelines of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. HRV is lower in the group with moderate/intense menopausal symptoms compared to mild symptoms. (RMSSD: p = 0.005, Cohen’s d = 0.53, pNN50: p = 0.0004, Cohen’s d = 0.68; HF: p = 0.024, Cohen’s d = 0.44). There was association between HRV and KMI (RMSSD: r = -1.248, p = 0.004; and pNN50: r = -0.615, p: 0.029) in inverse relation to the intensity of vasomotor symptoms in women in TM. In conclusion, HRV was able to distinguish menopausal symptoms, indicating reduced vagal control in women with more intense symptoms.
Klíčová slova:
Blood pressure – Brazil – Cardiology – Cross-sectional studies – Heart rate – Linear regression analysis – Menopause – Reproductive physiology
Zdroje
1. Acharya UR, Kannathal N, Sing OW, Ping LY, Chuaa T. Heart rate analysis in normal subjects of various age groups. Biomed Eng Online. 2004;3:24. doi: 10.1186/1475-925X-3-24 15260880
2. Thurston RC, Matthews KA, Chang Y. Changes in heart rate variability during vasomotor symptoms among midlife women. Menopause. 2016;23:499–505. doi: 10.1097/GME.0000000000000586 26926327
3. North American Menopause Society. Estrogen and progestogen use in postmenopausal women: 2010 position statement of The North American Menopause Society. Menopause. 2010;17:242–55. doi: 10.1097/gme.0b013e3181d0f6b9 20154637
4. Harlow SD, Gass NCM, Hall JE. Executive summary of the Stages of Reproductive Aging Workshop + 10: addressing the unfinished agenda of staging reproductive aging. Menopause. 2012;19:387–395. doi: 10.1097/gme.0b013e31824d8f40 22343510
5. Sorpreso ICE, Soares Junior JM, Fonseca AM, Baracat EC. Female aging. Rev Assoc Med Bras. 2015;61:553–556. doi: 10.1590/1806-9282.61.06.553 26841166
6. Camm AJ, Malik M, Bigger JT, Breithardt G, Cerutti S, Cohen RJ. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation. 1996;93:1043–65.
7. Pumprla J, Howorka K, Groves D. Functional assessment of heart rate variability: physiological basis and practical applications. Int J Cardiol. 2002;84:1–14. doi: 10.1016/s0167-5273(02)00057-8 12104056
8. Vanderlei LCM, Pastre CM, Hoshi RA. Basic notions of heart rate variability and its clinical applicability. Braz J Cardiovasc Surg. 2009;24:205–217.
9. Xhyheri B, Manfrini O, Mazzolini M. Heart rate variability today. Prog Cardiov Dis. 2012;55:321–31.
10. Valenti VE. The recent use of heart rate variability for research. J Hum Growth Develop. 2015;25:137–140.
11. Akselrod S, Gordon D, Ubel FA. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science. 1981;213:220–2. doi: 10.1126/science.6166045 6166045
12. Akiyoshi M, Kato K, Owa Y. Relationship between estrogen, vasomotor symptoms, and heart rate variability in climacteric women. J Med Dent Science. 2011;58: 49–59.
13. De Zambotti M, Colrain IM, Sassoon SA. Vagal withdrawal during hot flashes occurring in undisturbed sleep. Menopause. 2013;20:1147–53. doi: 10.1097/GME.0b013e31828aa344 23571526
14. Freedman RR, Kruger ML, Wasson SL. Heart rate variability in menopausal hot flashes during sleep. Menopause. 2011;18:897–900. doi: 10.1097/gme.0b013e31820ac941 21522045
15. Neufeld IW, Kiselev AR, Karavaev AS. Autonomic control of cardiovascular system in pre- and postmenopausal women: a cross-sectional study. J Turk Geriontol Gynecol Ass. 2015;16:11–20.
16. Thurston RC, Christie IC, Matthews KA. Hot flashes and cardiac vagal control: a link to cardiovascular risk? Menopause. 2010;17:456–61. doi: 10.1097/gme.0b013e3181c7dea7 20042892
17. Thurston RC, Christie IC, Matthews KA. Hot flashes and cardiac vagal control during women's daily lives. Menopause. 2012;19:406–12. doi: 10.1097/gme.0b013e3182337166 22095062
18. Sorpreso IC, Vieira LH, Haidar MA. Multidisciplinary approach during menopausal transition and postmenopause in Brazilian women. Clin Exp Obstet Gynecol. 2010;37:283–6. 21355458
19. Sorpreso ICE, Laprano Vieira LH, Longoni Calió C. Health education intervention in early and late postmenopausal Brazilian women. Climacteric. 2012;15:573–80. doi: 10.3109/13697137.2011.635915 22264078
20. Bagnoli VR, Fonseca AM, Arie WM, Das Neves EM, Azevedo RS, Sorpreso IC, et al. Metabolic disorder and obesity in 5027 Brazilian postmenopausal women. Gynecol Endocrinol. 2014;30(10):717–20. doi: 10.3109/09513590.2014.925869 24898135
21. Sanchez-Barajas M, Ibarra-Reynoso LDRI, Ayala-Garcia MA, Malacara JM. Flow mediated vasodilation compared with carotid intima media thickness in the evaluation of early cardiovascular damage in menopausal women and the influence of biological and psychosocial factors. BMC Women's Health. 2018;18:153. doi: 10.1186/s12905-018-0648-3 30236100
22. Utian WH, Boggs PP. The North American Menopause Society 1998 Menopause Survey. Part I: Postmenopausal women's perceptions about menopause and midlife. Menopause. 1999;6:122–8. 10374218
23. Soules MR, Sherman S, Parrott E. Executive summary: Stages of Reproductive Aging Workshop (STRAW). Fertil Steril. 2001;76:874–8. doi: 10.1016/s0015-0282(01)02909-0 11704104
24. de Carvalho TD, Wajnsztejn R, de Abreu LC, Marques Vanderlei LC, Godoy MF, Adami F, et al. Analysis of cardiac autonomic modulation of children with attention deficit hyperactivity disorder. Neuropsychiatr Dis Treat. 2014;10:613–8. doi: 10.2147/NDT.S49071 24748797
25. Raimundo RD, de Abreu LC, Adami F, Vanderlei FM, de Carvalho TD, Moreno IL, et al. Heart rate variability in stroke patients submitted to an acute bout of aerobic exercise. Transl Stroke Res. 2013;4:488–99. doi: 10.1007/s12975-013-0263-4 24323375
26. Tarvainen MP, Niskanen JA, Lipponen PO, Ranta-aho Karjalainen PA. Kubios HRV–A software for advanced heart rate variability analysis. Berlin: Springer: In: 4th European Conference os the International Federation for Medical and Biological Engineering. Sloten JV, Verdonck P, Nyssen M, Haueisen J, editors.; 1022–1025, 2008.
27. Kupperman HS, Blatt MHG. Menopausal indice. J Clin Endocrinol. 1953;13:688–694.
28. Sousa RL, Sousa ESS, Silva JCB, Filizola RG. Test-retest reliability in the application of the Menopausal Index of Blatt and Kupperman. Rev Bras Gin Obst. 2000;22:481–487.
29. Quintana DS. Statistical considerations for reporting and planning heart rate variability case-control studies. Psychophysiology. 2017;54:344–349. doi: 10.1111/psyp.12798 27914167
30. Hautamäki H, Piirilä P, Haapalahti P. Cardiovascular autonomic responsiveness in postmenopausal women with and without hot flushes. Maturitas. 2011;68:368–73. doi: 10.1016/j.maturitas.2011.01.004 21310559
31. Hoikkal H, Haapalahti P, Viitasalo M. Association between vasomotor hot flashes and heart rate variability in recently postmenopausal women. Menopause. 2010;17:315–20. doi: 10.1097/gme.0b013e3181c2bb6d 20009960
32. Lee JO, Kang SG, Kim SH, Park SJ, Song SW. The Relationship between Menopausal Symptoms and Heart Rate Variability in Middle Aged Women. Kor J Fam Med. 2011;32:299–305.
33. Goldstein DS, Bentho O, Park MY, Sharabi Y. Low-frequency power of heart rate variability is not a measure of cardiac sympathetic tone but may be a measure of modulation of cardiac autonomic outflows by baroreflexes. Exp Physiol. 2011;96:1255–1261. doi: 10.1113/expphysiol.2010.056259 21890520
34. Billman GE. The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiol. 2013;4:26. doi: 10.3389/fphys.2013.00026 23431279
35. Del Paso AAR, Langewitz W, Lambertus JM, Mulder LJM, Arie Van Roon AV, Duschek S. The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: A review with emphasis on a reanalysis of previous studies. Psychophysiology. 2013;50:477–487. doi: 10.1111/psyp.12027 23445494
36. Randall DC, Brown DR, Raisch RM, Yingling JD, Randall WC. SA nodal parasympathectomy delineates autonomic control of heart rate power spectrum. Am J Physiol. 1991;260:985–988.
37. Freedman R. Physiology of hot flashes. Am J Hum Biol. 2001;13:453–64. doi: 10.1002/ajhb.1077 11400216
38. Raimundo RD, Godleski J. Heart Rate variability in metabolic syndrome. J Hum Growth Develop. 2015;25:7–10.
39. Sturdee D, Wilson K, Pipili E, Crocker A. Physiological aspects of menopausal hot flush. BMJ. 1978;2:79–80. doi: 10.1136/bmj.2.6130.79 667570
40. Huang WL, Liao SC, Yang CC, Kuo TB, Chen TT, Chen IM, et al. Measures of Heart Rate Variability in Individuals With Somatic Symptom Disorder. Psychosom Med. 2017;79:34–42. doi: 10.1097/PSY.0000000000000362 27359183
41. Chudleigh C, Savage B, Cruz C, Lim M, McClure G, Palmer DM, et al. Use of respiratory rates and heart rate variability in the assessment and treatment of children and adolescents with functional somatic symptoms. Clin Child Psychol Psychiatry. 2019;24:29–39. doi: 10.1177/1359104518807742 30354283
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