Prediction equations for maximal heart rate in obese and nonobese children and adolescents: a systematic review and meta-analysis

Author:

Carli Maria Eduarda Casagrande1ORCID,Moraes Junior Frederico Bento de1ORCID,Menezes-Junior Francisco José de1ORCID,Tadiotto Maiara Cristina1ORCID,Mota Jorge2ORCID,Leite Neiva3ORCID

Affiliation:

1. Universidade Federal do Paraná, Brazil

2. Universidade do Porto, Brazil

3. Universidade Federal do Paraná, Brazil; Universidade do Porto, Brazil

Abstract

Abstract Objective: The aim of this study was to analyze which equation best estimates maximal heart rate (HRmax) for the pediatric population according to body mass. Data source: We performed a meta-analysis (PROSPERO No. CRD42020190196) of cross-sectional studies that aimed to validate or develop HRmax equations and that had children and adolescents as samples. The search was conducted in Scopus, Science Direct, Web of Science, PubMed, and Biblioteca Virtual em Saúde with the descriptors “prediction or equation,” “maximal heart rate,” “maximum heart rate,” “determination of heart rate,” children, and adolescent. The TRIPOD Statement tool was used to assess the methodological quality and the relevant data were extracted for analysis. The meta-analysis was conducted in the Comprehensive Meta-Analysis, adopting p<0.05 and a 95% confidence interval (CI). Data synthesis: In total, 11 studies were selected, of which 3 developed predictive equations, 10 performed external validity of the preexisting models, and 1 incremented values related to equations already developed. The results of the methodological quality analysis showed a moderate rating in most studies. The 164 + (0.270 × HRres) – (0.155 × body mass) + (1.1 × METs) + (0.258 × body fat percent) (r=0.500, 95%CI 0.426–0.567, p<0.001) and 166.7+ (0.46 × HRres) + (1.16 × maturation) (r=0.540, 95%CI 0.313–0.708, p<0.001) equations presented stronger correlations with measured HRmax in nonobese adolescents. The predictive model developed by 208 – (0.7 × age) showed a greater accuracy among the possible models for analysis (SDM=-0.183, 95%CI -0.787 to -0.422, p=0.554). No specific predictive equation was found for obese adolescents. Conclusions: Future research should explore new possibilities for developing predictive equations for this population as a tool to control exercise intensity in the therapeutic management of childhood and adolescent obesity.

Publisher

FapUNIFESP (SciELO)

Subject

Pediatrics, Perinatology and Child Health

Reference50 articles.

1. ACSM’s guidelines for exercise testing and prescription: benefits and risks associated with physical activity,2018

2. Cardiac rehabilitation and improvement of chronotropic incompetence: is it the exercise or just the beta blockers?;Pimenta T;Rev Port Cardiol (Engl Ed).,2021

3. Exercise physiology: nutrition, energy and human performance.;McArdle WD,2016

4. Age-predicted maximal heart rate in healthy subjects: the HUNT fitness study;Nes BM;Scand J Med Sci Sport,2013

5. Physical activity and the prevention of coronary heart disease;Fox 3rd SM;Ann Clin Res.,1971

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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