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12083名运动员参与运动前测试时的收缩压峰值:年龄、性别、工作量指数值及预测因素。

Peak systolic blood pressure during preparticipation exercise testing in 12,083 athletes: age, sex, and workload-indexed values and predictors.

作者信息

Pesova Petra, Jiravska Godula Bogna, Jiravsky Otakar, Jelinek Libor, Sovova Marketa, Moravcova Katarina, Ozana Jaromir, Ranic Ivan, Neuwirth Radek, Miklik Roman, Pekar Matej, Sknouril Libor, Tuka Vladimir, Sovova Eliska

机构信息

Department of Exercise Medicine and Cardiovascular Rehabilitation, University Hospital Olomouc and Faculty of Medicine, Palacky University, Olomouc, Czechia.

Sports Cardiology Center, Agel Hospital Trinec-Podlesi, Trinec, Czechia.

出版信息

Front Physiol. 2024 Nov 22;15:1456331. doi: 10.3389/fphys.2024.1456331. eCollection 2024.

DOI:10.3389/fphys.2024.1456331
PMID:39651432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11621218/
Abstract

AIM

Assessment of blood pressure during exercise is routine in athletes, but normal values remain equivocal. This study examines the response of systolic blood pressure (SBP) to exercise in a large cohort of athletes and establishes normative values by sex and age.

METHODS

Competitive athletes free of cardiovascular disease underwent pre-participation exercise testing on a bicycle ergometer. Resting (SBPrest) and peak blood pressure (SBPpeak), heart rate (HRrest and HRpeak), and power output (WR) were recorded. Workload indexed values were calculated.

RESULTS

The cohort included 12,083 athletes (median age 15 years, 26.9% female). Median peak exercise SBP was similar between sexes, but WR-indexed measures including SBP/WR ratio and SBP/(WR/kg) slope were higher in females (0.9 vs. 0.7, < 0.001; 10.94 vs. 9.52, < 0.001). Univariate analyses revealed significant associations between SBPpeak and several predictors, including sex, age, weight, height, SBPrest, DBPrest, HRrest, HRpeak, and WR (all < .001). Multivariate analysis showed that SBPrest (beta = 0.353, 95% CI [0.541, 0.609], < 0.001), height (beta = 0.303, 95% CI [0.360, 0.447], < 0.001), WR (beta = 0.171, 95% CI [0.029, 0.045], < 0.001), and age (beta = 0.093, 95% CI [0.162, 0.241], < 0.001) were the strongest predictors of SBPpeak.

CONCLUSION

This study provides reference values for the interpretation of SBP responses to exercise in athletes. Multivariate analyses highlight the complex interplay of factors influencing peak SBP, including SBPrest, height, WR, age, DBPrest, sex, endurance sport category, and weight. In future studies, these findings may inform the development of personalised training strategies and risk stratification models in athletic populations.

摘要

目的

对运动员运动期间的血压进行评估是常规操作,但正常值仍不明确。本研究在一大群运动员中考察了收缩压(SBP)对运动的反应,并按性别和年龄确立了正常值。

方法

无心血管疾病的竞技运动员在自行车测力计上进行参赛前运动测试。记录静息(SBPrest)和峰值血压(SBPpeak)、心率(HRrest和HRpeak)以及功率输出(WR)。计算工作量指数值。

结果

该队列包括12,083名运动员(中位年龄15岁,26.9%为女性)。两性之间的运动峰值SBP中位数相似,但包括SBP/WR比值和SBP/(WR/kg)斜率在内的WR指数测量值在女性中更高(0.9对0.7,<0.001;10.94对9.52,<0.001)。单因素分析显示SBPpeak与几个预测因素之间存在显著关联,包括性别、年龄、体重、身高、SBPrest、DBPrest、HRrest、HRpeak和WR(均<0.001)。多因素分析表明SBPrest(β=0.353,95%CI[0.541,0.609],<0.001)、身高(β=0.303,95%CI[0.360,0.447],<0.001)、WR(β=0.171,95%CI[0.029,0.045],<0.001)和年龄(β=0.093,95%CI[0.162,0.241],<0.001)是SBPpeak的最强预测因素。

结论

本研究为解释运动员运动时的SBP反应提供了参考值。多因素分析突出了影响峰值SBP的因素之间的复杂相互作用,包括SBPrest、身高、WR、年龄、DBPrest、性别、耐力运动类别和体重。在未来的研究中,这些发现可能为制定运动员群体的个性化训练策略和风险分层模型提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/64a52e6cbfe0/fphys-15-1456331-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/4201f72d0a4a/fphys-15-1456331-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/06e997da94ee/fphys-15-1456331-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/64a52e6cbfe0/fphys-15-1456331-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/4201f72d0a4a/fphys-15-1456331-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/06e997da94ee/fphys-15-1456331-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b84/11621218/64a52e6cbfe0/fphys-15-1456331-g003.jpg

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