Open AccessCorrelation and Predicted Equations of MIP/MEP from the Pulmonary Function, Demographics and Anthropometrics in Healthy Thai Participants aged 19 to 50 Years
Author(s) -
Thanyaluck Sriboonreung,
Jirakrit Leelarungrayub,
Araya Yankai,
Rungthip Puntumetakul
Publication year - 2021
Publication title -
clinical medicine insights. circulatory, respiratory and pulmonary medicine
Language(s) - English
Resource type - Journals
ISSN - 1179-5484
DOI - 10.1177/11795484211004494
Subject(s) - spirometry , medicine , vital capacity , pulmonary function testing , anthropometry , body mass index , waist , correlation , demographics , stepwise regression , cardiology , physical therapy , lung function , demography , asthma , lung , mathematics , geometry , sociology , diffusing capacity
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.