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视觉生物反馈膈式呼吸训练对多根肋骨骨折患者呼吸功能的影响:一项随机对照研究。

Effect of diaphragmatic breathing training with visual biofeedback on respiratory function in patients with multiple rib fractures: A randomized-controlled study.

作者信息

Shin Ho Jeong, Son Ho Hee

机构信息

Department of Physical Therapy, Graduate School, Catholic University of Pusan, Republic of Korea.

Department of Physical Therapy, College of Health Science, Catholic University of Pusan, Republic of Korea.

出版信息

Turk J Phys Med Rehabil. 2024 Jan 15;70(1):131-141. doi: 10.5606/tftrd.2024.12601. eCollection 2024 Mar.

DOI:10.5606/tftrd.2024.12601
PMID:38549830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10966753/
Abstract

OBJECTIVES

The aim of this study was to investigate the effect of diaphragmatic breathing training with visual biofeedback on respiratory function in patients with multiple rib fractures.

PATIENTS AND METHODS

Between June 2021 and October 2021, a total of 16 patients (15 males, 1 female; mean age: 49.50±11.85 years; range, 25 to 66 years) who were diagnosed with multiple rib fractures were randomly assigned into two groups as the control group (CG, n=8) and the visual biofeedback group (VBG, n=8). The effect of each diaphragmatic breathing training on respiratory function was evaluated before and after eight interventions. For respiratory function, pulmonary function test was used to measure pulmonary function and respiratory muscle strength, and the Pain, Inspiratory capacity, Cough (PIC) score was used to evaluated pain, inspiratory capacity, and cough ability.

RESULTS

In both groups, the pulmonary function representing the ratio of measurements to predicted values of both forced vital capacity (CG mean difference=25.37±4.58, p=0.002, VBG mean difference=24.25±3.96, p=0.007) and forced expiratory volume in 1 sec (CG mean difference=32.38±5.7, p=0.002, VBG mean difference=26.15±5.73, p <0.001) increased significantly. The maximal inspiratory (CG mean difference=14.00±0.35, p=0.002, VBG mean difference=20.5±6.26, p=0.009) and expiratory pressure (CG mean difference=43.72±29.44, p=0.034, VBG mean difference=25.76±6.78, p=0.015), the indicators of respiratory muscle strength, increased significantly in both groups. The PIC score, which evaluated pain, inspiratory capacity, and cough ability, also increased significantly in both groups (CG mean difference=1.63±0.26, p≤0.001, VBG mean difference=3.13±0.19, p <0.001). The change of PIC score after intervention did not significantly differ between the groups (F=1.439, p=0.250); however, there was a significant difference over time (F=38.476, p <0.001). The change of PIC scores differed over time between the groups (F=2.806 p=0.011).

CONCLUSION

Diaphragmatic breathing training and diaphragmatic breathing training with visual biofeedback can improve pulmonary function, respiratory muscle strength, pain, inspiratory capacity, and cough ability in patients with multiple rib fractures.

摘要

目的

本研究旨在探讨视觉生物反馈膈式呼吸训练对多根肋骨骨折患者呼吸功能的影响。

患者与方法

2021年6月至2021年10月期间,共16例诊断为多根肋骨骨折的患者(15例男性,1例女性;平均年龄:49.50±11.85岁;范围25至66岁)被随机分为两组,即对照组(CG,n = 8)和视觉生物反馈组(VBG,n = 8)。在8次干预前后评估每次膈式呼吸训练对呼吸功能的影响。对于呼吸功能,采用肺功能测试来测量肺功能和呼吸肌力量,并使用疼痛、吸气量、咳嗽(PIC)评分来评估疼痛、吸气量和咳嗽能力。

结果

两组中,代表用力肺活量测量值与预测值之比(CG平均差值 = 25.37±4.58,p = 0.002,VBG平均差值 = 24.25±3.96,p = 0.007)以及1秒用力呼气量(CG平均差值 = 32.38±5.7,p = 0.002,VBG平均差值 = 26.15±5.73,p <0.001)的肺功能均显著增加。两组中作为呼吸肌力量指标的最大吸气压力(CG平均差值 = 14.00±0.35,p = 0.002,VBG平均差值 = 20.5±6.26,p = 0.009)和呼气压力(CG平均差值 = 43.72±29.44,p = 0.034,VBG平均差值 = 25.76±6.78,p = 0.015)也显著增加。评估疼痛、吸气量和咳嗽能力的PIC评分在两组中也显著增加(CG平均差值 = 1.63±0.26,p≤0.001,VBG平均差值 = 3.13±0.19,p <0.001)。干预后PIC评分的变化在两组间无显著差异(F = 1.439,p = 0.250);然而,随时间有显著差异(F = 38.476,p <0.001)。两组间PIC评分随时间的变化存在差异(F = 2.806,p = 0.011)。

结论

膈式呼吸训练和视觉生物反馈膈式呼吸训练可改善多根肋骨骨折患者的肺功能、呼吸肌力量、疼痛、吸气量和咳嗽能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/d928a369f102/TJPMR-2024-70-1-131-141-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/53c1904dd4b1/TJPMR-2024-70-1-131-141-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/45e48c19e606/TJPMR-2024-70-1-131-141-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/d928a369f102/TJPMR-2024-70-1-131-141-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/53c1904dd4b1/TJPMR-2024-70-1-131-141-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/45e48c19e606/TJPMR-2024-70-1-131-141-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/051b/10966753/d928a369f102/TJPMR-2024-70-1-131-141-F3.jpg

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