Unique ID issued by UMIN | UMIN000055057 |
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Receipt number | R000062891 |
Scientific Title | Relationship between sarcopenia indices and BMD variables in healthy community-dwelling older women |
Date of disclosure of the study information | 2024/07/24 |
Last modified on | 2024/07/24 09:59:33 |
Bone Health and Muscle Mass: What's the Connection in Older Women?
BONEMUS (BONe health and musclE Mass in older wOmen Study)
Relationship between sarcopenia indices and BMD variables in healthy community-dwelling older women
WISDOM (Women's Indices of Sarcopenia and Density of bOne Measurement)
Asia(except Japan) |
The study focuses on sarcopenia and osteoporosis in healthy community-dwelling older women.
Endocrinology and Metabolism | Geriatrics | Orthopedics |
Adult |
Others
NO
1. To investigate the association between sarcopenia indices and bone mineral density (BMD) values using dual-energy X-ray absorptiometry (DXA) in healthy older women.
2. To examine the proper threshold of sarcopenia-related indices in healthy older women.
Others
1. To assess the differences in sarcopenia indices (HGS, 6MWS, and SMI) between participants with normal BMD and those with osteopenia or osteoporosis.
2. To evaluate the prevalence of osteoporosis and sarcopenia in the study population of community-dwelling healthy postmenopausal women aged over 50.
3. To investigate the relationship between muscle mass (as measured by SMI) and BMD, in addition to the relationship between muscle function (HGS and 6MWS) and BMD.
4. To explore the potential of using sarcopenia indices as screening tools for low bone mass in relatively healthy older women before they are diagnosed with sarcopenia.
5. To contribute to the understanding of the muscle-bone relationship in the context of aging, particularly in women who have not yet developed sarcopenia.
6. To examine the potential differences in the relationship between sarcopenia indices and BMD at different skeletal sites (lumbar spine vs. femoral neck).
1. The relationship between hand-grip strength (HGS) and BMD values of the lumbar spine (LS) and femoral neck (FN).
2. The association between 6-minute walking speed (6MWS) and BMD values of the LS and FN.
3. The correlation between skeletal muscle index (SMI) and BMD values.
4. Determination of cutoff values for HGS and 6MWS to predict osteopenia or osteoporosis in the LS and FN.
Observational
50 | years-old | <= |
Not applicable |
Female
1. Community-dwelling postmenopausal women
2. Aged over 50 years
3. Voluntarily participated in the study
4. Active daily life with routine walking
5. Clinical frailty scale of one or two
1.Underlying diseases with potential to influence BMD status, such as:
a. Thyroid dysfunction
b. Rheumatic disease
c. Diabetes (uncontrolled)
d. History of any malignancy
Note: Subjects with well-controlled hypertension, diabetes mellitus, or benign nonfunctioning thyroid nodules were not excluded.
86
1st name | Myung-Jun |
Middle name | |
Last name | Shin |
Pusan National University Hospital, Pusan National University School of Medicine
Department of Rehabilitation Medicine
49241
179, Gudeok-Ro, Seo-Gu, Busan
82-51-240-7071
jpark@pnuh.co.kr
1st name | Jong-Hwan |
Middle name | |
Last name | Park |
Pusan National University Hospital
Health Convergence Medicine Laboratory, Biomedical Research Institute
49241
179, Gudeok-Ro, Seo-Gu, Busan
82-51-240-7071
parkj@pusan.ac.kr
Pusan National University Hospital
Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
Government offices of other countries
Pusan National University Hospital Institutional Review Board
179, Gudeok-Ro, Seo-Gu, Busan
82-51-240-7257
services@pusan.ac.kr
NO
2024 | Year | 07 | Month | 24 | Day |
https://center6.umin.ac.jp/cgi-bin/ctr_e/ctr_reg_rec.cgi
Unpublished
https://center6.umin.ac.jp/cgi-bin/ctr_e/ctr_reg_rec.cgi
86
The study found significant correlations between hand grip strength (HGS) and bone mineral density (BMD) at both lumbar spine and femoral neck. The 6-minute walking speed (6MWS) was significantly associated only with femoral neck BMD.
2024 | Year | 07 | Month | 24 | Day |
Community-dwelling postmenopausal women.
Aged over 50 (median 66.5 years).
Median BMI: 24.2 kg/m2.
all 86 enrolled participants seem to have completed the study.
(This was an observational study, not an interventional trial.
Primary: Relationship between sarcopenia indices (HGS, 6MWS, SMI) and BMD values.
Secondary: Cutoff values for HGS and 6MWS to predict osteopenia or osteoporosis.
Completed
2019 | Year | 05 | Month | 20 | Day |
2019 | Year | 05 | Month | 20 | Day |
2019 | Year | 05 | Month | 20 | Day |
2021 | Year | 07 | Month | 01 | Day |
1. Study design: Cross-sectional observational study
2. Participants:
- 86 community-dwelling postmenopausal women
- Aged over 50 years (median age 66.5 years, IQR: 60-73 years)
3. Main measurements:
a) Body composition and Bone Mineral Density (BMD):
- Measured using Dual-energy X-ray Absorptiometry (DXA)
- BMD measured at Lumbar Spine (LS) and Femoral Neck (FN)
- Skeletal Muscle Index (SMI) calculated
b) Muscle strength:
- Measured by Hand Grip Strength (HGS) using a Jamar hand dynamometer
c) Physical performance:
- Measured by 6-Minute Walking Speed (6MWS)
4. Key observations:
- Relationship between sarcopenia indices (HGS, 6MWS, SMI) and BMD values
- Differences in sarcopenia indices between participants with normal BMD and those with osteopenia or osteoporosis
- Correlation between muscle strength, physical performance, and BMD
- Determination of cutoff values for HGS and 6MWS to predict osteopenia or osteoporosis
5. Duration of observation:
- Single time point assessment for each participant (cross-sectional design)
- Overall study period: May 20, 2019 to December 31, 2021
6. Sample size:
- Target sample size was 70
- Actual enrolled participants were 86 according to the English manuscript
This study aimed to investigate the relationship between sarcopenia indices and bone mineral density in healthy older women, focusing on muscle strength and physical performance as potential indicators of bone health.
2024 | Year | 07 | Month | 24 | Day |
2024 | Year | 07 | Month | 24 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000062891
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