Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan.
Thoracic Department, China Medical University Beigang Hospital, Yunlin County, Taiwan.
JMIR Mhealth Uhealth. 2023 Jul 26;11:e48812. doi: 10.2196/48812.
During flight, G force compels blood to stay in leg muscles and reduces blood flow to the heart. Cardiovascular responses activated by the autonomic nerve system and strengthened by anti-G straining maneuvers can alleviate the challenges faced during G loading. To our knowledge, no definite cardiac information measured using a mobile health device exists for analyzing G tolerance. However, our previous study developed the cardiac force index (CFI) for analyzing the G tolerance of military aircrew.
This study used the CFI to verify participants' cardiac performance when walking and obtained a formula for predicting an individual's G tolerance during centrifuge training.
Participants from an air force aircrew undertook high-G training from January 2020 to December 2022. Their heart rate (HR) in beats per minute and activity level per second were recorded using the wearable BioHarness 3.0 device. The CFI was computed using the following formula: weight × activity / HR during resting or walking. Relaxed G tolerance (RGT) and straining G tolerance (SGT) were assessed at a slowly increasing rate of G loading (0.1 G/s) during training. Other demographic factors were included in the multivariate regression to generate a model for predicting G tolerance from the CFI.
A total of 213 eligible trainees from a military aircrew were recruited. The average age was 25.61 (SD 3.66) years, and 13.1% (28/213) of the participants were women. The mean resting CFI and walking CFI (WCFI) were 0.016 (SD 0.001) and 0.141 (SD 0.037) kg × G/beats per minute, respectively. The models for predicting RGT and SGT were as follows: RGT = 0.066 × age + 0.043 × (WCFI × 100) - 0.037 × height + 0.015 × systolic blood pressure - 0.010 × HR + 7.724 and SGT = 0.103 × (WCFI × 100) - 0.069 × height + 0.018 × systolic blood pressure + 15.899. Thus, the WCFI is a positive factor for predicting the RGT and SGT before centrifuge training.
The WCFI is a vital component of the formula for estimating G tolerance prior to training. The WCFI can be used to monitor physiological conditions against G stress.
在飞行过程中，G 力迫使血液停留在腿部肌肉中，减少流向心脏的血液流量。自主神经系统激活的心血管反应和抗 G 应变动作加强，可以缓解 G 加载过程中面临的挑战。据我们所知，目前还没有使用移动健康设备测量的明确心脏信息可用于分析 G 耐受力。然而，我们之前的研究开发了心脏力指数（CFI），用于分析军事机组人员的 G 耐受力。
本研究使用 CFI 验证参与者行走时的心脏性能，并获得预测离心机训练中个体 G 耐受力的公式。
2020 年 1 月至 2022 年 12 月，来自空军机组的参与者接受了高 G 训练。他们的心率（HR）以每分钟节拍和每秒活动水平记录在可穿戴 BioHarness 3.0 设备上。CFI 是使用以下公式计算的：休息或行走时的体重×活动/HR。在训练期间，以逐渐增加的 G 加载速率（0.1 G/s）评估放松 G 耐受力（RGT）和应变 G 耐受力（SGT）。其他人口统计学因素也包括在多元回归中，以生成基于 CFI 预测 G 耐受力的模型。
共招募了 213 名来自军事机组的合格学员。平均年龄为 25.61（SD 3.66）岁，其中 13.1%（28/213）的参与者为女性。休息时的 CFI 和行走时的 CFI（WCFI）平均值分别为 0.016（SD 0.001）和 0.141（SD 0.037）kg×G/每分钟节拍。预测 RGT 和 SGT 的模型如下：RGT=0.066×年龄+0.043×（WCFI×100）-0.037×身高+0.015×收缩压-0.010×HR+7.724，SGT=0.103×（WCFI×100）-0.069×身高+0.018×收缩压+15.899。因此，WCFI 是离心机训练前预测 RGT 和 SGT 的积极因素。
WCFI 是训练前估计 G 耐受力公式的重要组成部分。WCFI 可用于监测 G 应激下的生理状况。
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