The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.
Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual-energy X-ray absorptiometry
Open accessAbstract
Abstract Background This study aimed to adjust and cross‐validate skeletal muscle mass measurements between bioimpedance analysis (BIA) and dual‐energy X‐ray absorptiometry (DXA) for the screening of sarcopenia in the community and to estimate the prevalence of sarcopenia in Hong Kong. Methods Screening of sarcopenia was provided to community‐dwelling older adults. Appendicular skeletal muscle mass (ASM) was evaluated by BIA (InBody 120 or 720) and/or DXA. Handgrip strength and/or gait speed were assessed. Diagnosis of sarcopenia was based on the 2019 revised Asian Working Group for Sarcopenia cut‐offs. Agreement analysis was performed to cross‐validate ASM measurements by BIA and DXA. Multiple regression was used to explore contribution of measured parameters in predicting DXA ASM from BIA. Results A total of 1587 participants (age = 72 ± 12 years) were recruited; 1065 participants were screened by BIA (InBody 120) with 18 followed up by DXA, while the remaining 522 participants were assessed by the BIA (InBody 720) and DXA. The appendicular skeletal muscle mass index (ASMI) evaluated by BIA showed a mean difference of 2.89 ± 0.38 kg/m 2 (InBody 120) and 2.97 ± 0.45 kg/m 2 (InBody 720) against DXA gold standard. A significant overestimation of muscle mass was measured by BIA compared with DXA ( P < 0.005). BIA data were adjusted using prediction equation and mean difference reduced to −0.02 ± 0.31 kg/m 2 in cross‐validation. Prevalence of sarcopenia in older adults ≥65 ranged from 39.4% (based on ASMI by DXA) to 40.8% (based on predicted DXA ASMI from BIA). Low ASMI by DXA was found in 68.5% of the older adults screened. The percentage of older adults exhibited low handgrip strength ranged from 31.3% to 56%, while 49% showed low gait speed. Conclusions Bioimpedance analysis was found to overestimate skeletal muscle mass compared with DXA. With adjustment equations, BIA can be used as a quick and reliable tool for screening sarcopenia in community and clinical settings with limited access to better options.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We previously found that the value of muscle mass index detected by BIA (InBody 120) was 2.89 ± 0.38 kg/m2 higher than measured by dual-energy X-ray absorptiometry (DXA) (Horizon, Hologic, Marlborough, MA, USA), which was considered the gold standard (18).”
From The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity (2023) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afy169 · Cited by 13,818
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment
Chen, L.-K., Woo, J., Assantachai, P., Auyeung, T.-W., Chou, M.-Y., Iijima, K., Jang, H. C., Kang, L., Kim, M., Kim, S., et al. (2020) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2019.12.012 · Cited by 7,070
Sarcopenia in Asia: Consensus Report of the Asian Working Group for Sarcopenia
Chen, L.-K., Liu, L.-K., Woo, J., Assantachai, P., Auyeung, T.-W., Bahyah, K. S., Chou, M.-Y., Chen, L.-Y., Hsu, P.-S., Krairit, O., et al. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2013.11.025 · Cited by 4,051
Cruz-Jentoft, A. J., & Sayer, A. A. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31138-9 · Cited by 3,905
Sarcopenia: revised European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., et al. (2019) · Age and Ageing · doi:10.1093/ageing/afz046 · Cited by 3,803
SARC-F: A simple questionnaire to rapidly diagnose sarcopenia
Malmstrom, T. K., & Morley, J. E. (2013) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2013.05.018 · Cited by 1,319
Ling, C. H. Y., de Craen, A. J. M., Slagboom, P. E., Gunn, D. A., Stokkel, M. P. M., Westendorp, R. G. J., & Maier, A. B. (2011) · Clinical Nutrition · doi:10.1016/j.clnu.2011.04.001 · Cited by 646
Cao, L., & Morley, J. E. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.06.001 · Cited by 424 · cited 2×
“Sarcopenia is an age-related generalized loss of skeletal muscle mass and strength1 that is recently recognized as an independent condition by the International Classification of Diseases, Tenth Revision, Clinical Modification.2 With guidelines suggested by the European Working Group on Sarcopenia in Older People in 2…”
BackgroundValidating the SARC-F: A Suitable Community Screening Tool for Sarcopenia?
Woo, J., Leung, J., & Morley, J. E. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.04.021 · Cited by 422
Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: update 2019
von Haehling, S., Morley, J. E., Coats, A. J. S., & Anker, S. D. (2019) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12501 · Cited by 389
Achamrah, N., Colange, G., Delay, J., Rimbert, A., Folope, V., Petit, A., Grigioni, S., Déchelotte, P., & Coëffier, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200465 · Cited by 337
Bosy-Westphal, A., Schautz, B., Later, W., Kehayias, J. J., Gallagher, D., & Müller, M. J. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.160 · Cited by 296
Defining Sarcopenia in Terms of Incident Adverse Outcomes
Woo, J., Leung, J. C. S., & Morley, J. E. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.11.013 · Cited by 268
Yu, R., Wong, M., Leung, J. C. S., Lee, J., Auyeung, T. W., & Woo, J. (2014) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12220 · Cited by 202
Yu, R., Leung, J. C. S., & Woo, J. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.02.005 · Cited by 196
González, M. C., & Heymsfield, S. B. (2017) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12159 · Cited by 192
Lee, S. Y., Ahn, S., Kim, Y. J., Ji, M. J., Kim, K. M., Choi, S. H., Jang, H. C., & Lim, S. K. (2018) · Nutrients · doi:10.3390/nu10060738 · Cited by 191
Aleixo, G. F. P., Shachar, S. S., Nyrop, K. A., Muss, H. B., Battaglini, C. L., & Williams, G. R. (2019) · The Oncologist · doi:10.1634/theoncologist.2019-0600 · Cited by 188
Anderson, L. J., Erceg, D. N., & Schroeder, E. T. (2012) · Nutrition Research · doi:10.1016/j.nutres.2012.05.009 · Cited by 167 · cited 1×
“We therefore recommend the use of BIA, which is convenient and portable and has high correlations with DXA measurements; however, this requires the use of adjustment equations (Figure 7) similar to previously reported for different ethnic groups.(25,26)”
MethodKim, H., Hirano, H., Edahiro, A., Ohara, Y., Watanabe, Y., Kojima, N., Kim, M., Hosoi, E., Yoshida, Y., Yoshida, H., et al. (2016) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12723 · Cited by 167
The relationship between sarcopenia and fragility fracture—a systematic review
Wong, R. M. Y., Wong, H., Zhang, N., Chow, S. K., Chau, W., Wang, J., Chim, Y. N., Leung, K., & Cheung, W. (2019) · Osteoporosis International · doi:10.1007/s00198-018-04828-0 · Cited by 131
Self-citationWang, H., Hai, S., Cao, L., Zhou, J., Liu, P., & Dong, B. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0386-z · Cited by 130
Makizako, H., Nakai, Y., Tomioka, K., & Taniguchi, Y. (2019) · Physical Therapy Research · doi:10.1298/ptr.r0005 · Cited by 84
Reiss, J., Iglseder, B., Kreutzer, M. L., Weilbuchner, I., Treschnitzer, W., Kässmann, H., Pirich, C., & Reiter, R. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0228-z · Cited by 83
Scott, D., Park, M. S., Kim, T. N., Ryu, J. Y., Hong, H. C., Yoo, H. J., Baik, S. H., Jones, G., & Choi, K. M. (2016) · The Journal of nutrition, health and aging · doi:10.1007/s12603-015-0559-z · Cited by 70
Biomarkers of sarcopenia in very old patients with hip fracture
Sánchez-Castellano, C., Martín‐Aragón, S., Bermejo‐Bescós, P., Vaquero-Pinto, N., Miret-Corchado, C., de Miguel, A. M., & Cruz-Jentoft, A. J. (2020) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12508 · Cited by 58
Chang, H., Lee, J. Y., Gil, C.-R., & Kim, M.-K. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s281131 · Cited by 42
Effect of including historical height and radius BMD measurement on sarco‐osteoporosis prevalence
Buehring, B., Krueger, D. C., & Binkley, N. (2012) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1007/s13539-012-0080-8 · Cited by 29
Chow, S. K., Chim, Y. N., Cheng, K. Y., Ho, C.-Y., Ho, W.-T., Cheng, K. C.-C., Wong, R. M. Y., & Cheung, W. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034921 · Cited by 17
Self-citation
Flagged first, then by citations
1 of the 31 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Liu, C., Wong, P. Y., Chung, Y. L., Chow, S. K., Cheung, W. H., Law, S. W., Chan, J. C. N., & Wong, R. M. Y. (2023) · Obesity Reviews · doi:10.1111/obr.13534 · Cited by 247
Self-citationMolecular Mechanisms of Inflammation in Sarcopenia: Diagnosis and Therapeutic Update
Jiménez-Gutiérrez, G. E., Martínez-Gómez, L. E., Martínez-Armenta, C., Pineda, C., Martínez‐Nava, G. A., & López-Reyes, A. G. (2022) · Cells · doi:10.3390/cells11152359 · Cited by 245
Liu, C., Cheng, K. Y.-K., Tong, X., Cheung, W.-H., Chow, S. K.-H., Law, S. W., & Wong, R. M. Y. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1077255 · Cited by 88
Self-citationLiu, C., Wong, P. Y., Wang, Q., Wong, H. Y., Huang, T., Cui, C., Zhang, N., Cheung, W., & Wong, R. M. Y. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13573 · Cited by 96
Self-citationWang, Z., Xu, X., Gao, S., Wu, C., Song, Q., Shi, Z., Su, J., & Zang, J. (2022) · Nutrients · doi:10.3390/nu14122458 · Cited by 66
Metadata
- Authors
- Cheng, K. Y., Chow, S. K., Hung, V. W., Wong, C. H., Wong, R. M., Tsang, C. S., Kwok, T., & Cheung, W.
- Affiliations
- Chinese University of Hong Kong (HK)
- Corresponding author
- Chow, Simon Kwoon‐Ho
- ORCID
- Venue
- Journal of Cachexia Sarcopenia and Muscle
- Publisher
- Wiley
- Published
- 2021-10-04
- Volume
- 12
- Issue
- 6
- Pages
- 2163-2173
- ISSN
- 2190-5991 (ISSN-L)
- 2190-6009
- PMC
- PMC8718029
- OpenAlex
- W3202032823
- Cited by
- 154
- References
- 31
- Citations by year
- 2026: 28 · 2025: 50 · 2024: 49 · 2023: 15 · 2022: 11 · 2021: 1
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Cachexia Sarcopenia and Muscle (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Chinese University of Hong Kong (4054479)
- Health and Medical Research Fund (HCPS 02180118)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Keywords
- sarcopenia, skeletal muscle mass, bioelectrical impedance analysis, dual-energy X-ray absorptiometry, appendicular skeletal muscle mass index, cross-validation, prediction equations, sarcopenia screening, older adults, grip strength, walking speed, sarcopenia prevalence, Hong Kong, Asian Working Group for Sarcopenia criteria, measurement overestimation, community-dwelling
- MeSH terms
- Aged, Aged, 80 and over, Body Composition, Humans, Middle Aged, Absorptiometry, Photon, Electric Impedance, Muscle, Skeletal, Hand Strength, Sarcopenia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
