Non-Exercise Estimated Cardiorespiratory Fitness and Incident Hypertension

非运动状态下评估的心肺功能与高血压发病率

阅读:1

Abstract

BACKGROUND: The purpose of the current study is to examine the association between non-exercise estimated cardiorespiratory fitness and incident hypertension by sex. METHODS: A total of 5513 participants (4403 men and 1110 women) free of hypertension from the Aerobics Center Longitudinal Study were followed for incident hypertension, which was determined as resting systolic or diastolic blood pressure at least 130/80 mm Hg or physician diagnosis. Non-exercise estimated cardiorespiratory fitness was estimated in metabolic equivalents (METs) with sex-specific algorithms. Age, body mass index, waist circumference, and resting heart rate were used as continuous variables, whereas being physically active and current smoking were dichotomous variables. Multivariable Cox regression models were used to examine the association between cardiorespiratory fitness and risk of developing hypertension. Hazard ratios and 95% confidence intervals (CIs) were reported as an index of strength of association. RESULTS: During an average follow-up of 5 years, 61.7% of men and 39.5% of women developed hypertension. In men, the upper and middle tertiles of cardiorespiratory fitness had 22% (95% CI, 0.71-0.86) and 10% (95% CI, 0.82-0.99) lower risk, respectively, of developing hypertension compared with those in the lower tertile. In women, the upper and middle tertiles of cardiorespiratory fitness had 30% (95% CI, 0.55-0.88) and 6% (95% CI, 0.74-1.18) lower risk, respectively, of developing hypertension. Each 1-MET increment was associated with a 10% higher risk of incident hypertension in the overall sample. CONCLUSION: Cardiorespiratory fitness estimated using a non-exercise algorithm is inversely associated with risk of developing hypertension in men and women.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。