Sports Performance and Physical Fitness Research Group (UIRFIDE), Physical Education and Sports Department, University of Valencia, Valencia, Spain.
Statistics and Operations Research Department, University of Valencia, Valencia, Spain.
Postgrad Med. 2021 Sep;133(7):807-816. doi: 10.1080/00325481.2021.1945761. Epub 2021 Jul 20.
The S-Index assessed by means of electronic devices is a measure of Inspiratory Muscle Strength (IMS) that highly correlates with the maximal inspiratory pressure (MIP). The variables involved when using regression models for the prediction of IMS/MIP depend on both the sample characteristics and the device or protocol used. In light of the scarce information on the influence of physical activity (PA) on IMS in healthy older adults (OA), together with the incorporation of new assessment devices, the objectives of this research are: 1) to determine which factors influence the IMS in a group of trained OA, using a portable electronic device; and 2) to propose a regression model to improve its assessment and training.
One hundred and fifty-nine individuals were assessed for body composition, lung capacity, IMS, and PA. A total of 92 individuals (72.73 ± 4.99 years) were considered for the final sample.
Using age, sex, and weight as control variables, forced expiratory volume in the first second (FEV) is the variable which is most likely to be included in the model (80%), without physical fitness appearing to be decisive. In the absence of spirometric variables, cardiorespiratory fitness (6MWT) takes on this role in a predictive model (16%).
This is the first study proposing IMS predictive formulas considering spirometry and/or physical fitness results for a Spanish, healthy, and trained OAs population. A predictive formula including also the spirometric variables (mainly the FEV) might better predict the inspiratory muscle strength. In addition, physical and respiratory functions confirm to be different, so it is necessary for the inspiratory muscles to be trained in a specific way.
通过电子设备评估的 S 指数是吸气肌力量(IM)的一种衡量标准,与最大吸气压力(MIP)高度相关。在使用回归模型预测 IMS/MIP 时,所涉及的变量取决于样本特征和使用的设备或方案。鉴于关于体力活动(PA)对健康老年人(OA)的 IMS 影响的信息很少,并且新的评估设备的加入,本研究的目的是:1)使用便携式电子设备确定影响训练有素的 OA 组 IMS 的因素;2)提出一种回归模型来改善其评估和训练。
对 159 人进行身体成分、肺活量、IM 和 PA 评估。共有 92 人(72.73±4.99 岁)被纳入最终样本。
使用年龄、性别和体重作为控制变量,第一秒用力呼气量(FEV)是最有可能包含在模型中的变量(80%),而身体适应性似乎并不起决定性作用。在没有肺量计变量的情况下,心肺适应性(6MWT)在预测模型中扮演着这个角色(16%)。
这是第一项针对西班牙健康训练有素的 OA 人群提出考虑肺量计和/或身体适应性结果的 IMS 预测公式的研究。一个包含肺量计变量(主要是 FEV)的预测公式可能会更好地预测吸气肌力量。此外,身体和呼吸功能确实不同,因此有必要以特定的方式训练吸气肌。