Gait Characteristics of Dynapenia, Sarcopenia, and Presarcopenia in Community-Dwelling Japanese Older Women: A Cross-Sectional Study

Mori, Kohei; Murata, Satoshi; Goda, Akio; Kikuchi, Yuki; Shiraiwa, Kayoko; Horie, Jun; Nakano, Hitoo

doi:10.3390/healthcare10101905

Cited by 8 publications

(6 citation statements)

References 39 publications

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“…As the walking speed of older adults with sarcopenia slowed significantly, the walking time increased accordingly, further compromising walking efficiency. The results of this study were also supported by the study of Mori et al [ 32 ], who evaluated the skeletal muscle mass and gait parameters of 307 older adults and found that the duration of the support period and the double support period increased and the duration of the swing period decreased in people with sarcopenia during walking. This pattern of change is consistent with the results of this study, suggesting that people with sarcopenia tend to adopt a more stable posture to compensate for unstable gait and maintain gait stability.…”

Section: Discussionsupporting

confidence: 87%

Effects of Cognitive–Motor and Motor–Motor Dual Tasks on Gait Performance in Older Adults with Sarcopenia

Wang,

Jin,

2024

Healthcare

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Background: With the advent of global aging, the health of the older population has become a critical public health challenge. The purpose of this study was to investigate the effect of dual-tasking on gait performance in patients with sarcopenia. Methods: Thirty participants with sarcopenia (age: 70.73 ± 4.12 yr, MMSE score: 26.90 ± 3.00), including 14 males and 16 females, were selected according to the diagnostic criteria of the Asian Working Group on Sarcopenia. All participants were instructed to perform the gait test in three modes: single task (ST), cognitive–motor dual task (CMDT), and motor–motor dual task (MMDT). Statistical analyses were performed using one-way ANOVA to evaluate the effects of different task types on gait parameters of the participants. Results: (1) Compared with ST walking, gait frequency, step length, and step speed decreased, and the gait cycle and double-support phase increased in patients with sarcopenia during dual-task walking (p < 0.05); (2) Compared with ST walking, gait variability indices such as stride frequency, stride length, and support period significantly increased in patients with sarcopenia during dual-task walking (p < 0.05). Conclusions: The increased difficulty in postural control caused by dual-task interference may reduce the safety of motor strategies in patients with sarcopenia and increase the risk of falls. Future studies should focus on the effects of exercise interventions on multitasking patterns in people with sarcopenia to promote balance function in these populations.

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Section: Discussionsupporting

confidence: 87%

Effects of Cognitive–Motor and Motor–Motor Dual Tasks on Gait Performance in Older Adults with Sarcopenia

Wang,

Jin,

2024

Healthcare

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“…Patients with sarcopenia exhibit gait changes due to the progressive decline in skeletal muscle mass, strength, and function. These changes are characterized by decreased single support time and increased double support time, primarily resulting from reduced muscle strength and impaired balance 34 , 35 . However, in our study, the smart insole was unable to fully capture these distinctive gait characteristics.…”

Section: Discussionmentioning

confidence: 99%

Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker

Kim

Park

Lee

et al. 2023

Sci Rep

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The aim of this study is to compare variable importance across multiple measurement tools, and to use smart insole and artificial intelligence (AI) gait analysis to create variables that can evaluate the physical abilities of sarcopenia patients. By analyzing and comparing sarcopenia patients with non sarcopenia patients, this study aims to develop predictive and classification models for sarcopenia and discover digital biomarkers. The researchers used smart insole equipment to collect plantar pressure data from 83 patients, and a smart phone to collect video data for pose estimation. A Mann–Whitney U was conducted to compare the sarcopenia group of 23 patients and the control group of 60 patients. Smart insole and pose estimation were used to compare the physical abilities of sarcopenia patients with a control group. Analysis of joint point variables showed significant differences in 12 out of 15 variables, but not in knee mean, ankle range, and hip range. These findings suggest that digital biomarkers can be used to differentiate sarcopenia patients from the normal population with improved accuracy. This study compared musculoskeletal disorder patients to sarcopenia patients using smart insole and pose estimation. Multiple measurement methods are important for accurate sarcopenia diagnosis and digital technology has potential for improving diagnosis and treatment.

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“…Several studies reveal specific quantitative gait changes associated with sarcopenia. Compared to healthy controls, sarcopenic individuals exhibit reduced step length, shortened stride length, slower walking velocity, shortened single limb support phase, and prolonged double support phase [ 25 , 26 , 27 ]. While cadence is often preserved, sarcopenic gait shows a shortened gait line, indicating reduced muscle mass [ 25 ].…”

Section: Physical Performance Test For Sarcopeniamentioning

confidence: 99%

“…While cadence is often preserved, sarcopenic gait shows a shortened gait line, indicating reduced muscle mass [ 25 ]. Sarcopenic women had a significantly slower pace and shorter steps versus normal controls in one study [ 27 ].…”

Section: Physical Performance Test For Sarcopeniamentioning

confidence: 99%

“…However, grip strength measurement lacks standardization across studies, including standardized testing protocols and weakness cut-off points [ 43 , 44 ]. Similarly, gait speed strongly predicts adverse health outcomes but also suffers from variability in cut-off points for sarcopenia diagnosis [ 23 , 27 ]. Although gait speed shows promise in assessing sarcopenia impact, with one study finding it may positively influence sarcopenia-related disability after adjusting for confounders [ 23 ], additional research is needed to determine optimal cut-off points.…”

Section: Physical Performance Test For Sarcopeniamentioning

confidence: 99%

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Machine Learning Applications in Sarcopenia Detection and Management: A Comprehensive Survey

Turimov Mustapoevich,

Kim

2023

Healthcare

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This extensive review examines sarcopenia, a condition characterized by a loss of muscle mass, stamina, and physical performance, with a particular emphasis on its detection and management using contemporary technologies. It highlights the lack of global agreement or standardization regarding the definition of sarcopenia and the various techniques used to measure muscle mass, stamina, and physical performance. The distinctive criteria employed by the European Working Group on Sarcopenia in Older People (EWGSOP) and the Asian Working Group for Sarcopenia (AWGSOP) for diagnosing sarcopenia are examined, emphasizing potential obstacles in comparing research results across studies. The paper delves into the use of machine learning techniques in sarcopenia detection and diagnosis, noting challenges such as data accessibility, data imbalance, and feature selection. It suggests that wearable devices, like activity trackers and smartwatches, could offer valuable insights into sarcopenia progression and aid individuals in monitoring and managing their condition. Additionally, the paper investigates the potential of blockchain technology and edge computing in healthcare data storage, discussing models and systems that leverage these technologies to secure patient data privacy and enhance personal health information management. However, it acknowledges the limitations of these models and systems, including inefficiencies in handling large volumes of medical data and the lack of dynamic selection capability. In conclusion, the paper provides a comprehensive summary of current sarcopenia research, emphasizing the potential of modern technologies in enhancing the detection and management of the condition while also highlighting the need for further research to address challenges in standardization, data management, and effective technology use.

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Gait Characteristics of Dynapenia, Sarcopenia, and Presarcopenia in Community-Dwelling Japanese Older Women: A Cross-Sectional Study

Cited by 8 publications

References 39 publications

Effects of Cognitive–Motor and Motor–Motor Dual Tasks on Gait Performance in Older Adults with Sarcopenia

Effects of Cognitive–Motor and Motor–Motor Dual Tasks on Gait Performance in Older Adults with Sarcopenia

Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker

Machine Learning Applications in Sarcopenia Detection and Management: A Comprehensive Survey

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