[Association between cardiorespiratory fitness and mortality risk in the chilean population].

Revista espanola de salud publica Pub Date : 2025-03-20
Jaime Vásquez-Gómez, Yeny Concha-Cisternas, Solange Parra-Soto, Daniel Reyes-Molina, Felipe Díaz-Toro, Fanny Petermann-Rocha, Carlos Celis-Morales
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Abstract

Objective: Cardiorespiratory fitness reduces the risk of cardiometabolic diseases, cancer and mortality. The aim of this paper was to evaluate the relationship between equation-estimated cardiorespiratory fitness and all-cause mortality in the Chilean population of both genders according to data from the 2009-2010 National Health Survey (NHS).

Methods: Data from 4,749 participants from the 2009-2010 NHS were analysed after 10.9 years of follow-up. Fitness was estimated with the Myers et al. equation and classified into quintiles. All-cause mortality records were obtained from the Chilean Civil Registry and Identification until 2020. Cox regression models adjusted for confounding variables (demographics, nutritional status, lifestyle and comorbidities) were used to assess the association between fitness and mortality.

Results: During the 10.9 years (IQR: 10.8; 11.4) of follow-up 506 (10.6%) people died. Compared to the lowest fitness quintile (<7 METs) those classified in the highest quintile (>12 METs) had a 95% lower risk of mortality (HR: 0.05; 95% CI: 0.03, 0.09) and the risk of mortality was 28% lower for every 1-METs increase in fitness (HR: 0.72 95% CI: 0.69, 0.75). All these associations were independent of confounders.

Conclusions: We conclude that a higher level of fitness is associated with a lower risk of mortality independent of confounding factors in the Chilean population after 10.9 years of follow-up.

[智利人口心肺健康与死亡风险之间的关系]。
目的:心肺健康降低心脏代谢疾病、癌症和死亡率的风险。本文的目的是根据2009-2010年全国健康调查(NHS)的数据,评估智利男女人口中方程估计的心肺适能与全因死亡率之间的关系。方法:在10.9年的随访后,分析了来自2009-2010年NHS的4,749名参与者的数据。适应度用Myers等人的方程估计,并按五分位数分类。从智利民事登记和身份识别处获得了截至2020年的全因死亡率记录。采用校正了混杂变量(人口统计学、营养状况、生活方式和合并症)的Cox回归模型来评估健康与死亡率之间的关系。结果:10.9年(IQR: 10.8;随访506人(10.6%)死亡11.4人。与最低健康五分位数(12 METs)相比,死亡风险降低95% (HR: 0.05;95% CI: 0.03, 0.09),健康水平每增加1 mets,死亡风险降低28% (HR: 0.72, 95% CI: 0.69, 0.75)。所有这些关联都独立于混杂因素。结论:在10.9年的随访后,我们得出结论,在智利人群中,较高的健康水平与较低的死亡率风险相关,独立于混杂因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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