Thanyaluck Sriboonreung1, Jirakrit Leelarungrayub1, Araya Yankai1, Rungthip Puntumetakul2. 1. Department of Physical Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand. 2. Research Center in Back, Neck, Other Joint Pain and Human Performance (BNOJPH), Khon Kaen University, Nai Mueang, Khon Kaen, Thailand.
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.
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.
Authors: Wilson M Alves; Thiago G Alves; Renilson M Ferreira; Tiago A Lima; Clebson P Pimentel; Evitom C Sousa; Odilon Abrahin; Erik A Alves Journal: J Sports Med Phys Fitness Date: 2019-05-20 Impact factor: 1.637
Authors: W Dejsomritrutai; A Nana; K N Maranetra; B Chuaychoo; K Maneechotesuwan; P Wongsurakiat; N Chierakul; S Charoenratanakul; J Tscheikuna; W Juengprasert; T Suthamsmai; C Naruman Journal: J Med Assoc Thai Date: 2000-05