Back to Search Start Over

Prediction equation to estimate heart rate at individual ventilatory threshold in female and male obese adults.

Authors :
Gian Pietro Emerenziani
Dafne Ferrari
Maria Grazia Vaccaro
Maria Chiara Gallotta
Silvia Migliaccio
Andrea Lenzi
Carlo Baldari
Laura Guidetti
Source :
PLoS ONE, Vol 13, Iss 5, p e0197255 (2018)
Publication Year :
2018
Publisher :
Public Library of Science (PLoS), 2018.

Abstract

OBJECTIVE:Prescribing individualized moderate exercise intensity is a useful method to reach positive effects on health status in obese adults. This study aimed to establish a practical reference equation to estimate the heart rate (HR) at individual ventilatory threshold (IVT) (HRIVT). METHODS:One hundred sixty-one obese subjects were clinically evaluated and characterized by anthropometric and body composition. Participants performed the six-minute walking test (6-MWT) and the cardiopulmonary exercise test to assess IVT. Multiple regression analysis for HRIVT, including 6-MWT, anthropometric, and body composition parameters, as independent variables, was performed for both gender separately. A cross-validation study was also performed to determine the accuracy of the prediction equation. RESULTS:Whereas HRIVT was not significantly different between males (121.5±18.3 bpm) and females (117.6±17.1 bpm), it differently correlated with physical and performance parameters. Therefore, two sex-specific equations were developed including 6-MWTHR and HRrest (R2 = 0.69 and 0.65 and root mean square errors of 8.8 and 10.1 bpm for females and males, respectively). CONCLUSION:In conclusion, in female and male obese adults, the 6-MWT might be used to predict HR at IVT. These outcomes are useful to prescribe optimal physical activity intensity when gold standard methods (e.g. gas exchange analysis) are unavailable.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
13
Issue :
5
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.8cd66aaa8264daca4f729dcbec973f4
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0197255