Reference Respiratory Muscle Strength Values and a Prediction Equation Using Physical Functions for Pulmonary Rehabilitation in Korea
10.3346/jkms.2023.38.e325
- Author:
Tae Sung PARK
1
;
Young Jin TAK
;
Youngjin RA
;
Jinmi KIM
;
Sang Hun HAN
;
Sang Hun KIM
;
YongBeom SHIN
;
Myung-Jun SHIN
;
Jong Ho KANG
Author Information
1. Department of Convergence Medical Institute of Technology, Pusan National University Hospital, Busan, Korea
- Publication Type:Original Article
- From:Journal of Korean Medical Science
2023;38(40):e325-
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:In Korea, tests for evaluating respiratory muscle strength are based on other countries’ clinical experience or standards, which can lead to subjective evaluations. When evaluating respiratory function based on the standards of other countries, several variables, such as the race and cultures of different countries, make it difficult to apply these standards. The purpose of this study was to propose objective respiratory muscle strength standards and predicted values for healthy Korean adults based on age, height, weight, and muscle strength, by measuring maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), and peak cough flow (PCF).
Methods:This cross-sectional study analyzed MIP, MEP, and PCF in 360 people, each group comprising 30 adult men and women aged 20–70, diagnosed as healthy after undergoing medical check-ups at a general hospital. Hand grip strength (HGS) and the five times sitto-stand test (FTSST) results were also recorded. Correlations among respiratory muscle strength, participant demographics, and overall muscle strength were evaluated using Pearson’s correlation analysis. The predicted values of respiratory muscle strength were calculated using multiple regression analysis.
Results:Respiratory muscle strength differed from the values reported in studies from other countries. In the entire samples, both MIP and MEP had the highest correlations with peak HGS (r= 0.643, r = 0.693; P < 0.05), while PCF had the highest correlation with forced expiratory volume in 1 s (r = 0.753; P < 0.05). Age, body mass index, peak HGS, and FTSST results were independent variables affecting respiratory muscle strength. A predictive equation for respiratory muscle strength was developed using the multiple regression equation developed in this study.
Conclusion:Respiratory muscle strength index may differ by country. For more accurate diagnoses, standard values for each country are required. This study presents reference values for Korea, and a formula for estimation is proposed when no respiratory muscle strength measurement equipment is available.Trial Registration: Clinical Research Information Service Identifier: KCT0006778
