95
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Can body mass index identify cardiac autonomic dysfunction in women who are apparently healthy?

, MSc.ORCID Icon, , , , & , PhD
Pages 168-178 | Received 04 Nov 2018, Accepted 11 Apr 2019, Published online: 16 May 2019

References

  • ACSM. 2013. ACSM‘s guidelines for exercise testing and prescription. Philadelphia, PA: Lippincott Williams & Wilkins.
  • Adam, M., M. Imboden, E. Schaffner, E. Boes, F. Kronenberg, M. Pons, R. Bettschart, J.-C. Barthelemy, C. Schindler, and N. Probst-Hensch. 2017. The adverse impact of obesity on heart rate variability is modified by a NFE2L2 gene variant: The SAPALDIA cohort. International Journal of Cardiology 228:341–46. doi:10.1016/j.ijcard.2016.11.049.
  • Alrefaie, Z. 2014. Brief assessment of supine heart rate variability in normal weight, overweight, and obese females. Annals of Noninvasive Electrocardiology 19 (3):241–46. doi:10.1111/anec.12120.
  • Besnier, F., M. Labrunee, A. Pathak, A. Pavy-Le Traon, C. Gales, J. M. Senard, and T. Guiraud. 2017. Exercise training-induced modification in autonomic nervous system: An update for cardiac patients. Annals of Physical and Rehabilitation Medicine 60 (1):27–35. doi:10.1016/j.rehab.2016.07.002.
  • Billman, G. E. 2013. The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Frontiers in Physiology 4:26. doi:10.3389/fphys.2013.00026.
  • Chang, V. W., D. E. Alley, and J. B. Dowd. 2017. Trends in the relationship between obesity and disability, 1988–2012. American Journal of Epidemiology 186 (6):688–95. doi:10.1093/aje/kwx092.
  • Choe, S. S., J. Y. Huh, I. J. Hwang, J. I. Kim, and J. B. Kim. 2016. Adipose tissue remodeling: Its role in energy metabolism and metabolic disorders. Frontiers in Endocrinology 7. doi:10.3389/fendo.2016.00089.
  • Czura, C. J., and K. J. Tracey. 2005. Autonomic neural regulation of immunity. Journal of Internal Medicine 257 (2):156–66. doi:10.1111/j.1365-2796.2004.01442.x.
  • Daniel, M. L., R. Niebo, and M. J. Utell. 2014. Screening tests: A review with examples. Inhalation Toxicology 26 (13):811–28. doi:10.3109/08958378.2014.955932.
  • Direk, K., M. Cecelja, W. Astle, P. Chowienczyk, T. D. Spector, M. Falchi, and T. Andrew. 2013. The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women. BMC Cardiovascular Disorders 13 (1):25. doi:10.1186/1471-2261-13-31.
  • Dixon, W. J. 1980. Efficient analysis of experimental observations. Annual Review of Pharmacology and Toxicology 20:441–62. doi:10.1146/annurev.pa.20.040180.002301.
  • Faul, F., E. Erdfelder, A. Buchner, and A. G. Lang. 2009. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods 41 (4):1149–60. doi:10.3758/BRM.41.4.1149.
  • Feldstein, C., and S. Julius. 2009. The complex interaction between overweight, hypertension, and sympathetic overactivity. Journal of the American Society of Hypertension 3 (6):353–65. doi:10.1016/j.jash.2009.10.001.
  • Field, A. S. 2013. Discovering statistics using IBM SPSS statistics. 4th ed. Oaks, CA: Sage Publications.
  • Gesta, S., Y.-H. Tseng, and C. Ronald Kahn. 2007. Developmental origin of fat: Tracking obesity to its source. Cell 131 (2):242–56. doi:10.1016/j.cell.2007.10.004.
  • Hayter, A. J. 1986. The maximum familywise error rate of Fisher‘s least significant difference test. Journal of the American Statistical Association 81 (396):1000–04. doi:10.1080/01621459.1986.10478364.
  • Hoaglin, D. C., and B. Iglewicz. 1987. Fine-tuning some resistant rules for outlier labeling. Journal of the American Statistical Association 82 (400):1147–49. doi:10.1080/01621459.1987.10478551.
  • Huh, J. Y., Y. J. Park, M. Ham, and J. B. Kim. 2014. Crosstalk between adipocytes and immune cells in adipose tissue inflammation and metabolic dysregulation in obesity. Molecules and Cells 37 (5):365–71. doi:10.14348/molcells.2014.0074.
  • Kaufmann, T., S. Sutterlin, S. M. Schulz, and C. Vogele. 2011. ARTiiFACT: A tool for heart rate artifact processing and heart rate variability analysis. Behavior Research Methods 43 (4):1161–70. doi:10.3758/s13428-011-0107-7.
  • Koenig, J., B. G. Windham, L. Ferrucci, D. Sonntag, J. E. Fischer, J. F. Thayer, and M. N. Jarczok. 2015. Association strength of three adiposity measures with autonomic nervous system function in apparently healthy employees. The Journal of Nutrition, Health & Aging 19 (9):879–82. doi:10.1007/s12603-015-0508-x.
  • Koenig, J., M. N. Jarczok, M. Warth, R. J. Ellis, C. Bach, T. K. Hillecke, and J. F. Thayer. 2014. Body mass index is related to autonomic nervous system activity as measured by heart rate variability–A replication using short term measurements. The Journal of Nutrition, Health & Aging 18 (3):300–02. doi:10.1007/s12603-014-0022-6.
  • Konrad, D. 2012. Visceral fat and metabolic inflammation: The portal theory revisited. Obesity Reviews 13 (S2):30–39. doi:10.1111/j.1467-789X.2012.01035.x.
  • Kubera, B., C. Leonhard, A. Rößler, and A. Peters. 2017. Stress-related changes in body form: Results from the whitehall II study. Obesity (Silver Spring, Md.) 25 (9):1625–32. doi:10.1002/oby.21928.
  • Laaksonen, D. E., T. Laitinen, J. Schönberg, A. Rissanen, and L. K. Niskanen. 2003. Weight loss and weight maintenance, ambulatory blood pressure and cardiac autonomic tone in obese persons with the metabolic syndrome. Journal of Hypertension 21 (2):371–78. doi:10.1097/01.hjh.0000052440.12292.f9.
  • Lakens, D. 2013. Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology 4:863. doi:10.3389/fpsyg.2013.00186.
  • Lambert, E., N. Straznicky, M. Schlaich, M. Esler, T. Dawood, E. Hotchkin, and G. Lambert. 2007. Differing pattern of sympathoexcitation in normal-weight and obesity-related hypertension. Hypertension 50 (5):862–68. doi:10.1161/HYPERTENSIONAHA.107.094649.
  • Lee, B. Y., S. M. Bartsch, L. A. Yeeli Mui, M. L. S. Haidari, and J. Gittelsohn. 2017. A systems approach to obesity. Nutrition Reviews 75 (suppl_1):94–106. doi:10.1093/nutrit/nuw049.
  • Malik, M. 1996. 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. European Heart Journal 17:354–81.
  • Nazare, J.-A., J. Smith, A.-L. Borel, P. Aschner, P. Barter, L. Van Gaal, C. E. Tan, H.-U. Wittchen, Y. Matsuzawa, and T. Kadowaki. 2015. Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study). The American Journal of Cardiology 115 (3):307–15. doi:10.1016/j.amjcard.2014.10.039.
  • Nishida, C., G. T. Ko, and S. Kumanyika. 2010. Body fat distribution and noncommunicable diseases in populations: Overview of the 2008 WHO expert consultation on waist circumference and waist-hip ratio. European Journal of Clinical Nutrition 64 (1):2–5. doi:10.1038/ejcn.2009.139.
  • Nunan, D., G. Donovan, D. G. Jakovljevic, L. D. Hodges, G. R. Sandercock, and D. A. Brodie. 2009. Validity and reliability of short-term heart-rate variability from the Polar S810. Medicine and Science in Sports and Exercise 41 (1):243–50. doi:10.1249/MSS.0b013e318184a4b1.
  • Nunan, D., G. R. H. Sandercock, and D. A. Brodie. 2010. A quantitative systematic review of normal values for short‐term heart rate variability in healthy adults. Pacing and Clinical Electrophysiology 33 (11):1407–17. doi:10.1111/j.1540-8159.2010.02841.x.
  • Rissanen, P., A. F. Kallunki, and A. Rissanen. 2001. Cardiac parasympathetic activity is increased by weight loss in healthy obese women. Obesity Research 9 (10):637–43. doi:10.1038/oby.2001.84.
  • Rosato, E., A. Gigante, M. Liberatori, M. L. Gasperini, B. Barbano, A. Amoroso, L. Tubani, and A. Laviano. 2017. Altered diurnal cardiac sympathovagal balance correlates with nutritional status indexes in systemic sclerosis patients. Journal of Biological Regulators and Homeostatic Agents 31 (4):1133–38.
  • Schenker, N., L. G. Borrud, V. L. Burt, L. R. Curtin, K. M. Flegal, J. Hughes, C. L. Johnson, A. C. Looker, and L. Mirel. 2011. Multiple imputation of missing dual-energy X-ray absorptiometry data in the national health and nutrition examination survey. Statistics in Medicine 30 (3):260–76. doi:10.1002/sim.4080.
  • Seaman, M. A., J. R. Levin, and R. C. Serlin. 1991. New developments in pairwise multiple comparisons: Some powerful and practicable procedures. Psychological Bulletin 110 (3):577. doi:10.1037/0033-2909.110.3.577.
  • Sturmberg, J. P., J. M. Bennett, M. Picard, and A. J. E. Seely. 2015. The trajectory of life. Decreasing physiological network complexity through changing fractal patterns. Frontiers in Physiology 6. doi:10.3389/fphys.2015.00098.
  • Tarvainen, M. P., J. P. Niskanen, J. A. Lipponen, P. O. Ranta-Aho, and P. A. Karjalainen. 2014. Kubios HRV–Heart rate variability analysis software. Computer Methods and Programs in Biomedicine 113 (1):210–20. doi:10.1016/j.cmpb.2013.07.024.
  • The GBD Obesity Collaborators. 2017. Health effects of overweight and obesity in 195 countries over 25 years. New England Journal of Medicine 377 (1):13–27. doi:10.1056/NEJMoa1614362.
  • Tulppo, M. P., T. H. Mäkikallio, T. Seppänen, R. T. Laukkanen, and H. V. Huikuri. 1998. Vagal modulation of heart rate during exercise: Effects of age and physical fitness. American Journal Of Physiology-Heart And Circulatory Physiology 274 (2):H424–H429. doi:10.1152/ajpheart.1998.274.2.H424.
  • Wheat, A. L., and K. T. Larkin. 2010. Biofeedback of heart rate variability and related physiology: A critical review. Applied Psychophysiology and Biofeedback 35 (3):229–42. doi:10.1007/s10484-010-9133-y.
  • Xhyheri, B., O. Manfrini, M. Mazzolini, C. Pizzi, and R. Bugiardini. 2012. Heart rate variability today. Progress in Cardiovascular Diseases 55 (3):321–31. doi:10.1016/j.pcad.2012.09.001.
  • Yoo, H. J., S. Y. Hwang, K. M. Choi, S. H. Baik, E. M. Lee, E. J. Kim, S. W. Rha, C. G. Park, D. J. Oh, and H. S. Seo. 2016. Clinical implication of body size phenotype on heart rate variability. Metabolism 65 (11):1589–96. doi:10.1016/j.metabol.2016.08.002.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.