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Phys. Ther. Korea 2023; 30(3): 202-210

Published online August 20, 2023

https://doi.org/10.12674/ptk.2023.30.3.202

© Korean Research Society of Physical Therapy

Relationship Between Muscle Mass and Usual Walking Speed Mediated by Muscle Strength, Respiration and Depression in Elderly Female

Yun-jeong Baek1 , PT, MSc, Chung-hwi Yi2 , PT, PhD, Oh-yun Kwon2 , PT, PhD, Sang-hyun Cho2 , MD, PhD

1Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, 2Department of Physical Therapy, College of Health Sciences, Yonsei University, Wonju, Korea

Correspondence to: Chung-hwi Yi
E-mail: pteagle@yonsei.ac.kr
https://orcid.org/0000-0003-2554-8083

Received: August 1, 2023; Revised: August 6, 2023; Accepted: August 7, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: The elderly population is increasing rapidly worldwide. Muscle mass, usual walking speed (UWS), knee extension strength (KES), hand grip strength (HGS), peak expiratory flow (PEF), and depression is used for sarcopenia diagnosis. All four of these factors (KES, HGS, PEF, and depression) correlated with UWS and also to muscle mass. But, many studies have suggested that no correlation exists between muscle mass and UWS. Objects: This study aimed: 1) to investigate whether muscle mass reduction affected UWS, as mediated by KES, HGS, PEF and depression, and 2) to explored whether significant changes in these mediators varied by the body segment in which muscle mass evaluated in elderly female aged 65–80 years.
Methods: A total of 100 female aged 65–80 years were surveyed. Muscle mass was measured by body segment (upper and lower segment), and KES, HGS, PEF, depression, and UWS were also assessed. Median analyses were progressed in IBM SPSS software (ver. 23.0, IBM Co.) using a downloaded INDIRECT macro.
Results: The direct effect of the KES and PEF were significant, and the indirect effect of KES and PEF were not significant. Thus, KES and PEF served as full mediators of the effect of muscle mass on UWS. Regardless of bodily region, KES and PEF combined with muscle mass were significant mediators of UWS, with similar indirect effect sizes.
Conclusion: KES and PEF are the only mediators regardless of body part. Therefore, mediating the KES and PEF may prevent sarcopenia progression in elderly female. Also, sarcopenia can be readily assessed by evaluating either the upper or lower body; it is not necessary to measure total muscle mass.

Keywords: Aged, Muscle mass, Muscle strength, Sarcopenia, Walking speed

Article

Original Article

Phys. Ther. Korea 2023; 30(3): 202-210

Published online August 20, 2023 https://doi.org/10.12674/ptk.2023.30.3.202

Copyright © Korean Research Society of Physical Therapy.

Relationship Between Muscle Mass and Usual Walking Speed Mediated by Muscle Strength, Respiration and Depression in Elderly Female

Yun-jeong Baek1 , PT, MSc, Chung-hwi Yi2 , PT, PhD, Oh-yun Kwon2 , PT, PhD, Sang-hyun Cho2 , MD, PhD

1Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, 2Department of Physical Therapy, College of Health Sciences, Yonsei University, Wonju, Korea

Correspondence to:Chung-hwi Yi
E-mail: pteagle@yonsei.ac.kr
https://orcid.org/0000-0003-2554-8083

Received: August 1, 2023; Revised: August 6, 2023; Accepted: August 7, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: The elderly population is increasing rapidly worldwide. Muscle mass, usual walking speed (UWS), knee extension strength (KES), hand grip strength (HGS), peak expiratory flow (PEF), and depression is used for sarcopenia diagnosis. All four of these factors (KES, HGS, PEF, and depression) correlated with UWS and also to muscle mass. But, many studies have suggested that no correlation exists between muscle mass and UWS. Objects: This study aimed: 1) to investigate whether muscle mass reduction affected UWS, as mediated by KES, HGS, PEF and depression, and 2) to explored whether significant changes in these mediators varied by the body segment in which muscle mass evaluated in elderly female aged 65–80 years.
Methods: A total of 100 female aged 65–80 years were surveyed. Muscle mass was measured by body segment (upper and lower segment), and KES, HGS, PEF, depression, and UWS were also assessed. Median analyses were progressed in IBM SPSS software (ver. 23.0, IBM Co.) using a downloaded INDIRECT macro.
Results: The direct effect of the KES and PEF were significant, and the indirect effect of KES and PEF were not significant. Thus, KES and PEF served as full mediators of the effect of muscle mass on UWS. Regardless of bodily region, KES and PEF combined with muscle mass were significant mediators of UWS, with similar indirect effect sizes.
Conclusion: KES and PEF are the only mediators regardless of body part. Therefore, mediating the KES and PEF may prevent sarcopenia progression in elderly female. Also, sarcopenia can be readily assessed by evaluating either the upper or lower body; it is not necessary to measure total muscle mass.

Keywords: Aged, Muscle mass, Muscle strength, Sarcopenia, Walking speed

Fig 1.

Figure 1.Effect of upper and lower muscle mass on usual walking speed.
Physical Therapy Korea 2023; 30: 202-210https://doi.org/10.12674/ptk.2023.30.3.202

Fig 2.

Figure 2.The effect of upper muscle mass on usual walking speed.
Physical Therapy Korea 2023; 30: 202-210https://doi.org/10.12674/ptk.2023.30.3.202

Fig 3.

Figure 3.The effect of lower muscle mass on usual walking speed.
Physical Therapy Korea 2023; 30: 202-210https://doi.org/10.12674/ptk.2023.30.3.202

Table 1 . Subject characteristics.

VariableParticipant (N = 100)
Age (y)72.4 ± 4.9
Height (cm)152.2 ± 5.6
Weight (kg)58.4 ± 8.6
Body mass index (kg/m2)25.2 ± 3.3
Hypertension50
Diabetes17
Smoking2
Back pain37
Knee pain23
Depression7

Values are presented as mean ± standard deviation or number only..


Table 2 . Results of Pearson correlation coefficients between independent variables.

VariableKESHGSPEFDepressionMean ± SD
KES121.09 ± 6.07
HGS0.623**122.88 ± 5.03
PEF0.023*0.319**15.01 ± 1.32
Depression–0.023*–0.215*–0.311**111.71 ± 5.29

KES, knee extension strength; HGS, hand grip strength; PEF, peak expiratory flow; Mean ± SD, mean ± standard deviation. *p < 0.05, **p < 0.01..


Table 3 . Mediation of UWS by ULMM via KES, HGS, PEF, and depression.

Variablea pathb pathIndirect effect (a × b)BC 95% CI

LowerUpper
Indirect effect
KES0.99320.01140.01130.00330.0246*
HGS1.14270.00780.0089–0.00430.0275
PEF0.17920.04900.00880.00200.0217*
Depression–0.3640–0.00660.0024–0.00030.0102
Total0.03140.01530.0532
Comparison
KES vs HGS0.0025–0.01990.0230
KES vs PEF0.0026–0.00990.0155
KES vs Depression0.0090–0.00100.0226
HGS vs PEF0.0001–0.01830.0193
HGS vs KES0.0065–0.00720.0242
PEF vs Depression0.0064–0.00270.0201

BC, bias-corrected; CI, confidence interval; KES, knee extension strength; HGS, hand grip strength; PEF, peak expiratory flow. *Significant mediator..


Table 4 . Mediation by UMM of UWS via KES, HGS, PEF, and depression.

Variablea pathb pathIndirect effect (a × b)BC 95% CI

LowerUpper
Indirect
KES2.18410.01110.02420.00260.0681*
HGS3.41690.01030.0352–0.00120.0908
PEF0.40230.05030.02020.00120.0567*
Depression–0.9016–0.00660.0060–0.00300.0321
Total0.08560.03190.1526
Contrast
KES vs HGS–0.0111–0.07430.0470
KES vs PEF0.0039–0.03460.0442
KES vs Depression0.0182–0.01000.0616
HGS vs PEF0.0150–0.03560.0736
HGS vs KES0.0293–0.00900.0815
PEF vs Depression0.0143–0.01250.0523

BC, bias-corrected; CI, confidence interval; KES, knee extension strength; HGS, hand grip strength; PEF, peak expiratory flow. *Significant mediator..


Table 5 . The effect of LMM on UWS via KES, HGS, PEF, and depression.

Variablea pathb pathIndirect effect (a × b)BC 95% CI

LowerUpper
Indirect
KES1.43030.01120.01600.00520.0340*
HGS1.52080.00680.0104–0.00780.0339
PEF0.25690.04730.01220.00290.0291*
Depression–0.51030.00420.0034–0.00060.0131
Total0.04190.01930.0705
Comparison
KES vs HGS0.0057–0.02410.0337
KES vs PEF0.0038–0.02410.0337
KES vs Depression0.0126–0.00100.0313
HGS vs PEF–0.0018–0.02660.0241
HGS vs KES0.0070–0.01160.0301
PEF vs Depression0.0088–0.00370.0257

BC, bias-corrected; CI, confidence interval; KES, knee extension strength; HGS, hand grip strength; PEF, peak expiratory flow. *Significant mediator..