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首页> 外文期刊>Journal of Sports Medicine >Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population
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Factors Associated with Cardiorespiratory Fitness in a Swiss Working Population

机译：与瑞士工作人群的心肺素质相关的因素

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Background. Good cardiorespiratory fitness (high VO2max) has beneficial effects on morbidity and mortality. Therefore, a tool to estimate VO2max in daily clinical practice is of great value for preventing chronic diseases in healthy adults. This study aimed at exploring the cardiometabolic profile in a representative Swiss working population. Based on these insights, a regression model was derived revealing factors associated with VO2max. Methods. Cross-sectional data of 337 healthy and full-time employed adults recruited in the Basel region, Switzerland, were collected. Anthropometric measurements to compute body mass index (BMI) and waist circumference (WC) were performed. A 20-meter shuttle run test was conducted to determine individual VO2max. Heart rate (HR) was measured at rest, during maximal exertion, and two minutes after exercise. Systolic (SBP) and diastolic blood pressure (DBP) were assessed at rest and after exercise. A multiple linear regression model was built to identify a set of nonexercise predictor variables of VO2max. Results. Complete data of 303 individuals (63% male) aged 18 to 61 years (mean 33 ± 12 years) were considered for analysis. The regression model (adjusted R2 = 0.647, SE = 5.3) identified sex (β = -0.699, p 0.001), WC (β = -0.403, p 0.001), difference of maximal to resting HR (β = 0.234, p 0.001), smoking (β = -0.171, p 0.001), and age (β = -0.131, p 0.01) as the most important factors associated with VO2max, while BMI, SBP, and DBP did not contribute to the regression model. Conclusions. This study introduced a simple model to evaluate VO2max based on nonexercise parameters as part of daily clinical routine without needing a time-consuming, cost-intense, and physically demanding direct assessment of VO2max. Knowledge about VO2max may help identifying individuals at increased cardiovascular risk and may provide the basis for health counselling and tailoring preventive measures.
机译：背景。良好的心肺健身（高VO2max）对发病率和死亡率有益。因此，在日常临床实践中估算vo2max的工具对于预防健康成年人的慢性疾病具有很大的价值。这项研究旨在探索代表瑞士工作人群的心脏素质概况。基于这些洞察力，衍生出回归模型的揭示与vo2max相关的因素。方法。收集了瑞士巴塞尔地区招募337名健康和全职雇用的成年人的横断面数据。进行计算体重指数（BMI）和腰围（WC）的人体测量测量。进行了一个20米的班车运行测试以确定个体VO2MAX。心率（HR）在最大耗尽期间在休息时测量，运动后两分钟。在休息和运动后评估收缩期（SBP）和舒张压（DBP）。构建了多元线性回归模型以识别VO2MAX的一组非销售预测变量。结果。考虑了303岁至61岁（平均33±12岁）的303人（63％男性）的完整数据进行分析。回归模型（调整的R2 = 0.647，SE = 5.3）鉴定性（β= -0.699，P <0.001），WC（β= -0.403，P <0.001），最大差异为休息的HR（β= 0.234，P <0.001），吸烟（β= -0.171，p <0.001），年龄（β= -0.131，p <0.01）作为与vo2max相关的最重要因素，而BMI，SBP和DBP没有贡献回归模型。结论。本研究介绍了一种简单的模型，可根据非兴趣参数评估VO2MAX，作为每日临床常规的一部分，而不需要耗时，成本激烈，并且物理要求对VO2MAX的直接评估。关于VO2MAX的知识可能有助于识别心血管风险增加的人，并可为健康咨询和定制预防措施提供基础。

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