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

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-03-22 eCollection Date: 2021-01-01 DOI:10.1177/11795484211004494

Thanyaluck Sriboonreung, Jirakrit Leelarungrayub, Araya Yankai, Rungthip Puntumetakul

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引用次数: 5

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.

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19 - 50岁泰国健康参与者肺功能、人口统计学和人体测量学与MIP/MEP的相关性和预测方程

目的:从肺功能测试(PFT)、人口统计学和人体测量学中确定最大吸气(MIP)和呼气口压(MEP)值的相关性和可能的预测方程。方法:本研究纳入217名健康参与者(男性91名，女性126名)，年龄19 ~ 50岁。PFT(强制肺活量;FVC, 1秒用力呼气量;FEV1，最大呼气中流量;MMEF和呼气流量峰值;肺活量测定法测定PEF，呼吸压力计测定MIP和MEP。采用Pearson相关和多元线性回归，采用逐步分析方法进行统计分析。结果:MIP、MEP与体重、身高、体重指数(BMI)、腰围呈显著正相关。MIP与FVC(%)、PEF (L/s、%)呈显著正相关，与FEV1/FVC (ratio、%)、MMEF(%)呈显著负相关。MEP与PEF (L/s和%)呈显著正相关，与FEV1/FVC (ratio和%)和MMEF (L/s)呈显著负相关。最后,预测MIP和议员方程103.988 - -97.70×FEV1 / FVC + 31.292×性别(男性和女性= 1 = 0)+ 0.662×PEF(%)和47.384 + 3.603×-9.514×PEF (L / s) MMEF (L / s) + 30.458×性别(男性和女性= 1 = 0)+ 0.534×PEF(%),分别。结论:呼吸肌力量可通过肺功能检查和性别数据进行预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.