An Estimation Formula for Resonance Frequency Using Sex and Height for Healthy Individuals and Patients with Incurable Cancers
-
Published:2023-09-13
Issue:
Volume:
Page:
-
ISSN:1090-0586
-
Container-title:Applied Psychophysiology and Biofeedback
-
language:en
-
Short-container-title:Appl Psychophysiol Biofeedback
Author:
Hasuo Hideaki,Mori Keita,Matsuoka Hiromichi,Sakuma Hiroko,Ishikawa Hideki
Abstract
AbstractResonance frequency breathing is a technique that involves breathing that maximizes heart rate variability. It is specific to individuals and is determined through a procedure taking approximately 30 min, using a procedure that is often best carried out at specialized medical institutions. This is a physical and time-consuming burden because of hospital visits and measurements, particularly for patients with cancer. Therefore it would be beneficial if a procedure can be found to determine resonance frequency from the patient’s physical characteristics, without the need for special assessment procedures. This exploratory cross-sectional study examined the correlation between individual characteristics and resonance frequency in healthy volunteers. Multiple regression analysis was performed with the measured resonance frequency as the target variable and individual characteristic parameters as explanatory variables. The study aims to build an estimation formula for resonance frequency with some of these parameters and assess its validity. In addition, the validity of the formula’s applicability to patients with incurable cancers is assessed. A total of 122 healthy volunteers and 32 patients with incurable cancers were recruited as participants. The median resonance frequency of 154 participants was six breaths per min. Sex and height were selected as explanatory variables associated with the measured resonance frequency in the volunteers. The estimation formula for resonance frequency using individual characteristics was 17.90—0.07 × height for men and 15.88—0.06 × height for women. Adjusted R-squared values were 0.55 for men and 0.47 for women. When the measured resonance frequency in patients with incurable cancers was six breaths per minute or less, the resonance frequency estimated by this formula was slightly larger than the measured ones. Information on individual characteristics, such as sex and height, which can be easily obtained, was useful to construct an estimation formula for resonance frequency.
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Applied Psychology,Neuropsychology and Physiological Psychology
Reference26 articles.
1. Armitage, P., Geoffrey, B., & Matthews, J. N. S. (2010). Multiple regression Statistical methods in medical research fourth edition (pp. 337–346). Oxford University Press. 2. Bernardi, L., Porta, C., Spicuzza, L., Bellwon, J., Spadacini, G., Frey, A. W., Yeung, L. Y., Sanderson, J. E., Pedretti, R., & Tramarin, R. (2002). Slow breathing increases arterial baroreflex sensitivity in patients with chronic heart failure. Circulation, 105(2), 143–145. https://doi.org/10.1161/hc0202.103311 3. Brown, E., Hopper, J., Jr., Hodges, J. L., Jr., Bradley, B., Wennesland, R., & Yamauchi, H. (1962). Red cell, plasma, and blood volume in the healthy women measured by radiochromium cell-labeling and hematocrit. The Journal of Clinical Investigation, 41(12), 2182–2190. https://doi.org/10.1172/JCI104677 4. Ezzatvar, Y., Ramírez-Vélez, R., Sáez de Asteasu, M. L., Martínez-Velilla, N., Zambom-Ferraresi, F., Izquierdo, M., & García-Hermoso, A. (2021). Physical function and all-cause mortality in older adults diagnosed with cancer: A systematic review and meta-analysis. The Journals of Gerontology: Series A, 76(8), 1447–1453. https://doi.org/10.1093/gerona/glaa305 5. Fan, Z., Guo, Y., Gu, X., Huang, R., & Miao, W. (2022). Development and validation of an artificial neural network model for non-invasive gastric cancer screening and diagnosis. Science and Reports, 12(1), 21795. https://doi.org/10.1038/s41598-022-26477-4
|
|