Reference values for short-term resting-state heart rate variability in healthy adults: Results from the Brazilian Longitudinal Study of Adult HealthELSA-Brasil study

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Citações na Scopus
49
Tipo de produção
article
Data de publicação
2018
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Autores
DANTAS, Eduardo Miranda
ANDREAO, Rodrigo Varejao
SILVA, Valdo Jose Dias da
RIBEIRO, Antonio Luiz Pinho
MILL, Jose Geraldo
Citação
PSYCHOPHYSIOLOGY, v.55, n.6, article ID UNSP e13052, 12p, 2018
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Heart rate variability (HRV) is a psychophysiological phenomenon with broad implications, providing an accessible index of vagal function, underpinning psychological constructs, including the capacity for social engagement and emotion regulation, and may predict future morbidity and mortality. However, the lack of reference values for short-term HRV indices for participants of both sexes across the age spectrum is a limiting factor. This was the objective of the present study. Resting electrocardiographic records were obtained from 13,214 participants (both sexes, 35-74 years), and HRV indices in time and frequency domains (mean +/- SD) were determined from 5-min records. Results were based on a subsample of 2,874 nonmedicated, healthy participants stratified by sex across 10-year age groupings. Men showed lower heart rate (HR, 64 +/- 8 bpm vs. 68 +/- 8 bpm, p<.05) and normalized high frequency (HF; 39.4 +/- 18.0 normalized units [n.u.] vs. 50.4 +/- 18.5 n.u., p<.05) than women, and higher N-N variance (2,214 +/- 1,890 ms(2) vs. 1,883 +/- 1,635 ms(2), p<.05), standard deviation of all N-N intervals (SDNN; 43.7 +/- 17.3 ms vs. 40.3 +/- 15.8 ms, p<.05) and LF/HF (2.30 +/- 2.68 vs. 1.33 +/- 1.82, p<.05). HR and HF (n.u.) were also higher in younger than older women. LF/HF was lower in women than men. Percentile curves showed almost all HRV indices decreasing with aging. The availability of short-term, resting-state HRV reference values in a large sample of healthy and nonmedicated participants from 35-74 years will provide a valuable tool for researchers, clinicians, and those in the quantified-self community.
Palavras-chave
autonomic nervous system, cardiovascular diseases, frequency domain analysis, heart rate variability, reference values
Referências
  1. AKSELROD S, 1981, SCIENCE, V213, P220, DOI 10.1126/science.6166045
  2. Antelmi I, 2004, AM J CARDIOL, V93, P381, DOI 10.1016/j.amjcard.2003.09.065
  3. Aquino EML, 2012, AM J EPIDEMIOL, V175, P315, DOI 10.1093/aje/kwr294
  4. Bauer A, 2017, HEART RHYTHM, V14, P302, DOI 10.1016/j.hrthm.2016.12.015
  5. Berntson GG, 1997, PSYCHOPHYSIOLOGY, V34, P623, DOI 10.1111/j.1469-8986.1997.tb02140.x
  6. Brunoni AR, 2013, INT J NEUROPSYCHOPH, V16, P1937, DOI 10.1017/S1461145713000497
  7. Buccelletti F, 2009, EUR REV MED PHARMACO, V13, P299
  8. Camm AJ, 1996, CIRCULATION, V93, P1043
  9. Dantas EM, 2015, PHYSIOL MEAS, V36, DOI 10.1088/0967-3334/36/10/2119
  10. Dantas EM, 2012, COMPUT BIOL MED, V42, P164, DOI 10.1016/j.compbiomed.2011.11.004
  11. Dietrich DF, 2006, EUROPACE, V8, P521, DOI 10.1093/europace/eul063
  12. Driscoll D, 2000, J MANIP PHYSIOL THER, V23, P610, DOI 10.1067/mmt.2000.110944
  13. Ellis RJ, 2015, PHYSIOL MEAS, V36, P1827, DOI 10.1088/0967-3334/36/9/1827
  14. Furuland H, 2008, J NEPHROL, V21, P45
  15. Graff B, 2013, J HYPERTENS, V31, P1629, DOI 10.1097/HJH.0b013e328361e48b
  16. Hill LK, 2015, PSYCHOSOM MED, V77, P16, DOI 10.1097/PSY.0000000000000133
  17. Hillebrand S, 2013, EUROPACE, V15, P742, DOI 10.1093/europace/eus341
  18. Jandackova VK, 2016, PSYCHOL MED, V46, P2121, DOI 10.1017/S003329171600060X
  19. Karason K, 1999, AM J CARDIOL, V83, P1242, DOI 10.1016/S0002-9149(99)00066-1
  20. KAY SM, 1981, P IEEE, V69, P1380, DOI 10.1109/PROC.1981.12184
  21. Kemp A. H., 2017, NEUROSCIENCE SOCIAL, P397, DOI 10. 1007/978-3-319-68421-5_17
  22. Kemp AH, 2017, NEUROSCI BIOBEHAV R, V83, P547, DOI 10.1016/j.neubiorev.2017.09.006
  23. Kemp AH, 2016, PSYCHOSOM MED, V78, P950, DOI 10.1097/PSY.0000000000000359
  24. Kemp AH, 2016, BIOL PSYCHOL, V117, P216, DOI 10.1016/j.biopsycho.2016.04.006
  25. Kemp AH, 2014, AM J PSYCHIAT, V171, P1328, DOI 10.1176/appi.ajp.2014.13121605
  26. Kemp AH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044014
  27. Kemp AH, 2010, BIOL PSYCHIAT, V67, P1067, DOI [10.1016/j.biopsych.2009.12.012, 10.1016/j.biopsych.2009.11.019]
  28. Koenig J, 2017, FRONT PHYSIOL, V8, DOI 10.3389/fphys.2017.00582
  29. Koenig J, 2016, NEUROSCI BIOBEHAV R, V64, P288, DOI 10.1016/j.neubiorev.2016.03.007
  30. LEWIS G, 1992, PSYCHOL MED, V22, P465, DOI 10.1017/S0033291700030415
  31. LIPSITZ LA, 1990, CIRCULATION, V81, P1803, DOI 10.1161/01.CIR.81.6.1803
  32. Mahdiani S, 2015, IEEE ENG MED BIO, P5948, DOI 10.1109/EMBC.2015.7319746
  33. MALLIANI A, 1991, CIRCULATION, V84, P482
  34. May O, 2011, ACTA DIABETOL, V48, P55, DOI 10.1007/s00592-010-0222-4
  35. Mill JG, 2013, REV SAUDE PUBL, V47, P54, DOI 10.1590/S0034-8910.2013047003851
  36. MONTANO N, 1994, CIRCULATION, V90, P1826
  37. Nunan D, 2010, PACE, V33, P1407, DOI 10.1111/j.1540-8159.2010.02841.x
  38. Penttila J, 2001, CLIN PHYSIOL, V21, P365, DOI 10.1046/j.1365-2281.2001.00337.x
  39. Poliakova N, 2014, PSYCHOPHYSIOLOGY, V51, P579, DOI 10.1111/psyp.12194
  40. del Paso GAR, 2013, PSYCHOPHYSIOLOGY, V50, P477, DOI 10.1111/psyp.12027
  41. RIMOLDI O, 1990, AM J PHYSIOL, V258, pH967
  42. Sammito S, 2017, HEART RHYTHM, V14, P304, DOI 10.1016/j.hrthm.2016.12.016
  43. Sammito S, 2016, HEART RHYTHM, V13, P1309, DOI 10.1016/j.hrthm.2016.02.006
  44. Schroeder EB, 2003, HYPERTENSION, V42, P1106, DOI 10.1161/01.HYP.0000100444.71069.73
  45. Silva GJJ, 2009, BRAZ J MED BIOL RES, V42, P386, DOI 10.1590/S0100-879X2009000400012
  46. Thayer JF, 2009, ANN BEHAV MED, V37, P141, DOI 10.1007/s12160-009-9101-z
  47. Williams DP, 2015, FRONT PSYCHOL, V6, DOI 10.3389/fpsyg.2015.00261