{"title":"Study on heart rate recovery index to predict maximum oxygen uptake in healthy adults aged 30 to 60 years old.","authors":"Guoqing Miao, Qi Yan, Houyuan Zhu, Fantai Li","doi":"10.3389/fphys.2024.1437962","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore the feasibility of post-exercise heart rate recovery indicators for predicting maximum oxygen uptake (VO2max) in healthy adults aged 30-60 years.</p><p><strong>Methods: </strong>260 healthy adults who did not perform regular exercise were randomly recruited and divided into a model group (n = 200) and a verification group (n = 60). Measure body fat percentage, weight, height and other indicators, and complete a cardiopulmonary exercise test as required to measure VO2max and heart rate recovery (HRR1, HRR2) in the first and second minutes after exercise. Equations are established through stepwise regression method, and the selected optimal equation is tested for back substitution.</p><p><strong>Results: </strong>The optimal equation is: <math><mrow><mtext>Absolute VO</mtext> <mn>2</mn> <mo></mo> <mi>max</mi> <mo>=</mo> <mo>-</mo> <mn>0.528</mn> <mo>+</mo> <mn>0.039</mn> <mo>*</mo> <mtext>weight</mtext> <mo>-</mo> <mn>3.463</mn> <mo>*</mo> <mtext>body fat rate</mtext> <mo>+</mo> <mn>0.042</mn> <mo>*</mo> <mtext>HRR</mtext> <mn>2</mn> <mo>-</mo> <mn>0.180</mn> <mo>*</mo> <mtext>gender </mtext> <mrow> <mfenced><mrow><mtext>male</mtext> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mtext>female</mtext> <mo>=</mo> <mn>2</mn></mrow> </mfenced> </mrow> </mrow> </math> . Analysis of variance, goodness-of-fit test, VIF test, Shapiro-Wilk test, and Durbin-Watson test indicate that the equation is more reliable; Pearson product-moment correlation analysis, paired t test, and Bland-Altman consistency test indicate that the equation is more valid good.</p><p><strong>Conclusion: </strong>The regression equation established through heart rate recovery after exercise can be used to predict VO2max in healthy adults aged 30-60 years.</p>","PeriodicalId":12477,"journal":{"name":"Frontiers in Physiology","volume":"15 ","pages":"1437962"},"PeriodicalIF":3.2000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703821/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Physiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fphys.2024.1437962","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To explore the feasibility of post-exercise heart rate recovery indicators for predicting maximum oxygen uptake (VO2max) in healthy adults aged 30-60 years.
Methods: 260 healthy adults who did not perform regular exercise were randomly recruited and divided into a model group (n = 200) and a verification group (n = 60). Measure body fat percentage, weight, height and other indicators, and complete a cardiopulmonary exercise test as required to measure VO2max and heart rate recovery (HRR1, HRR2) in the first and second minutes after exercise. Equations are established through stepwise regression method, and the selected optimal equation is tested for back substitution.
Results: The optimal equation is: . Analysis of variance, goodness-of-fit test, VIF test, Shapiro-Wilk test, and Durbin-Watson test indicate that the equation is more reliable; Pearson product-moment correlation analysis, paired t test, and Bland-Altman consistency test indicate that the equation is more valid good.
Conclusion: The regression equation established through heart rate recovery after exercise can be used to predict VO2max in healthy adults aged 30-60 years.
期刊介绍:
Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.