Cardiopulmonary exercise testing and body composition

Author:

Karlsson Per,Lind Lars,Michaëlsson Karl,Malinovschi AndreiORCID

Abstract

BackgroundThe cardiopulmonary exercise test (CPET) evaluates cardiopulmonary function. In light of the obesity epidemic, it is important to understand how body composition affects interpretation of CPET results. The aim of the present study was to assess the relationship between CPET measures, other than peak oxygen uptake, and body composition.MethodA total of 330 participants, aged 50 years, performed both a CPET and dual-energy X-ray absorptiometry (DXA). From the CPET, peak exercise respiratory exchange ratio (RER), ventilatory efficiency (E/CO2slope) and work efficiency (ΔO2/ΔWR) were recorded. Pearson's correlation was used to assess the association between CPET measures and selected body composition measures, including body mass index (BMI), waist circumference, fat mass, lean mass, body fat percentage and percentage trunk fat to fat mass. All analyses were done stratified by sex. A p-value <0.05 defined statistical significance.ResultsRER was negatively correlated with body composition measures; the strongest correlation was observed with waist circumference in females (r= −0.36).E/CO2slope had no significant correlations with any body composition measures. ΔO2/ΔWR was positively correlated with the body composition measures; the strongest correlation was observed with BMI (r=0.24). The additive role of percentage body fat and percentage trunk fat were studied in a linear regression model using waist circumference and BMI to predict the aforementioned CPET measures and no additive role was found.ConclusionRER and ΔO2/ΔWR may be influenced by body composition whileE/CO2slope is not affected. Adiposity measures from DXA add no additional explanatory value to the CPET measures.

Publisher

European Respiratory Society (ERS)

Reference35 articles.

1. Sietsema KE , Stringer WW , Sue DY , et al. Wasserman and Whipp's Principles of Exercise Testing and Interpretation: Including Pathophysiology and Clinical Applications. Philadelphia, Wolters Kluwer Health, 2020.

2. Weir CB , Jan A . BMI Classification Percentile and Cut Off Points. Treasure Island, StatPearls Publishing, 2022.

3. Waist circumference correlates with metabolic syndrome indicators better than percentage fat;Shen;Obesity,2006

4. Diagnosis and Management of the Metabolic Syndrome

5. The impact of body mass index, central obesity and physical activity on lung function: results of the EpiHealth study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3