19至50岁健康泰国参与者的肺功能、人口统计学和人体测量学指标与最大吸气压力/最大呼气压力的相关性及预测方程

Correlation and Predicted Equations of MIP/MEP from the Pulmonary Function, Demographics and Anthropometrics in Healthy Thai Participants aged 19 to 50 Years.

作者信息

Sriboonreung Thanyaluck, Leelarungrayub Jirakrit, Yankai Araya, Puntumetakul Rungthip

机构信息

Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.

Research Center in Back, Neck, Other Joint Pain and Human Performance (BNOJPH), Khon Kaen University, Nai Mueang, Khon Kaen, Thailand.

出版信息

Clin Med Insights Circ Respir Pulm Med. 2021 Mar 22;15:11795484211004494. doi: 10.1177/11795484211004494. eCollection 2021.

DOI:10.1177/11795484211004494

PMID:33814938

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7989129/

Abstract

OBJECTIVE

To identify the correlations and possible predicted equations of maximal inspiratory (MIP) and expiratory mouth pressure (MEP) values from pulmonary function test (PFT), demographics, and anthropometrics.

METHODS

This study involved 217 healthy participants (91 males and 126 females) aged 19 to 50 years. The PFT (forced vital capacity; FVC, forced expiratory volume in 1 second; FEV1, maximal mid-expiratory flow; MMEF, and peak expiratory flow; PEF) was performed by spirometry, whereas MIP and MEP were evaluated by a respiratory pressure meter. Pearson correlation and multiple linear regression, with the stepwise method, were used for statistical analysis.

RESULTS

The MIP and MEP had a significant positive correlation with weight, height, body mass index (BMI), and waist circumference. MIP had a significant positive correlation with FVC (%) and PEF (L/s and %), as well as a negative correlation with FEV1/FVC (ratio and %) and MMEF (%). Whereas, MEP showed a significant positive correlation with PEF (L/s and %) and negative correlation with FEV1/FVC (ratio and %) and MMEF (L/s). Finally, the predicted MIP and MEP equations were 103.988-97.70 × FEV1/FVC + 31.292 × Sex (male = 1 and female = 0) + 0.662 × PEF (%) and 47.384 + 3.603 × PEF (L/s)-9.514 × MMEF(L/s) + 30.458 × Sex (male = 1 and female = 0) + 0.534 × PEF (%), respectively.

CONCLUSION

The respiratory muscle strengths can be predicted from the pulmonary function test, and gender data.

摘要

目的

确定肺功能测试（PFT）中的最大吸气（MIP）和呼气口压（MEP）值、人口统计学数据以及人体测量学数据之间的相关性和可能的预测方程。

方法

本研究纳入了217名年龄在19至50岁之间的健康参与者（91名男性和126名女性）。通过肺活量测定法进行肺功能测试（用力肺活量；FVC、第1秒用力呼气量；FEV1、最大呼气中期流量；MMEF以及呼气峰值流量；PEF），而MIP和MEP则通过呼吸压力计进行评估。采用Pearson相关性分析和逐步多元线性回归进行统计分析。

结果

MIP和MEP与体重、身高、体重指数（BMI）和腰围呈显著正相关。MIP与FVC（%）和PEF（L/s和%）呈显著正相关，与FEV1/FVC（比值和%）以及MMEF（%）呈负相关。而MEP与PEF（L/s和%）呈显著正相关，与FEV1/FVC（比值和%）以及MMEF（L/s）呈负相关。最后，预测MIP和MEP的方程分别为103.988 - 97.70×FEV1/FVC + 31.292×性别（男性 = 1，女性 = 0）+ 0.662×PEF（%）和47.384 + 3.603×PEF（L/s）- 9.514×MMEF（L/s）+ 30.458×性别（男性 = 1，女性 = 0）+ 0.534×PEF（%）。