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Comparison of segmental multifrequency bioelectrical impedance analysis with dual‐energy X ‐ray absorptiometry for the assessment of body composition in a community‐dwelling older population
Abstract
Aim: The purpose of the present study was to examine the agreement of segmental multifrequency bioelectrical impedance analysis ( SMF‐BIA ) for the assessment of whole‐body and appendicular fat mass ( FM ) and lean soft tissue mass ( LSTM ) compared with dual‐energy X ‐ray absorptiometry ( DXA ) in a community‐dwelling J apanese older population. Methods: The study population included 551 community‐dwelling J apanese older adults (241 men and 310 women) aged between 65 and 87 years. Agreement between SMF‐BIA and DXA for whole‐body and appendicular body composition was assessed using simple linear regression and B land– A ltman analysis. Results: High coefficients of determination ( R 2 ) were observed for whole‐body FM ( R 2 = 0.91, standard error of estimate [ SEE ] = 1.4 kg in men and R 2 = 0.94, SEE = 1.2 kg in women) between SMF‐BIA and DXA . The R 2 coefficient for whole‐body LSTM was higher in men ( R 2 = 0.88, SEE = 1.9 kg) than in women ( R 2 = 0.83, SEE = 1.5 kg). There was systematic bias with overestimation of whole‐body FM and underestimation of whole‐body LSTM by SMF‐BIA . Proportional bias was noted for measurement of whole‐body FM and LSTM in both men and women, but there was no proportional bias between the two methods for measurement of appendicular LSTM ( r = 0.05, P = 0.428 and r = −0.10, P = 0.070 for men and women, respectively). Conclusion: SMF‐BIA is a good alternative for estimating the whole‐body and appendicular FM and LSTM in a community‐dwelling J apanese older population, although it overestimated FM and underestimated LSTM when validated against DXA . Geriatr Gerontol Int 2015; 15: 1013–1022.
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“Several studies have indicated comparable outcomes between DXA and MF-BIA (26–29).”
From Transforming body composition with semaglutide in adults with obesity and type 2 diabetes mellitus (2024) · cites this paper as [27]
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Oh, M. H., Shin, H. E., Kim, K. S., Won, C. W., & Kim, M. (2023) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2023.04.005 · Cited by 20
Self-citationLet-7e-5p Regulates IGF2BP2, and Induces Muscle Atrophy
Okamura, T., Okada, H., Hashimoto, Y., Majima, S., Senmaru, T., Nakanishi, N., Asano, M., Yamazaki, M., Hamaguchi, M., & Fukui, M. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.791363 · Cited by 20
Kim, M. J., Cho, Y. K., Kim, E. H., Lee, M. J., Lee, W. J., Kim, H., & Jung, C. H. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13543 · Cited by 19
Self-citationPark, H., Jang, I., Han, M., Lee, H., Jung, H., Lee, E., & Kim, D. H. (2020) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2019.148 · Cited by 19
Shin, H. E., Kim, M., & Won, C. W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074312 · Cited by 19
Self-citationBody composition assessment in individuals with class II/III obesity: a narrative review
Silveira, É. A., Castro, M. C. R., Rezende, A. T. O., Rodrigues, A. P. D. S., Delpino, F. M., Oliveira, E. S., Corgosinho, F. C., & de Oliveira, C. M. (2024) · BMC Nutrition · doi:10.1186/s40795-024-00913-2 · Cited by 18
Takase, M., Nakamura, T., Hirata, T., Tsuchiya, N., Kogure, M., Itabashi, F., Nakaya, N., Hamanaka, Y., Sugawara, J., Suzuki, K., et al. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13729 · Cited by 17
Osaka, T., Hamaguchi, M., & Fukui, M. (2023) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/11795514231161885 · Cited by 20
Jang, J. Y., Shin, H. E., Won, C. W., & Kim, M. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.105207 · Cited by 18
Self-citationImpact of Sarcopenia on Clinical Outcomes of Minimally Invasive Lumbar Decompression Surgery
Toyoda, H., Hoshino, M., Ohyama, S., Terai, H., Suzuki, A., Yamada, K., Takahashi, S., Hayashi, K., Tamai, K., Hori, Y., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-53053-0 · Cited by 18
Matsushita, T., Nishioka, S., Yamanouchi, A., Okazaki, Y., Oishi, K., Nakashima, R., Tokunaga, Y., & Onizuka, S. (2022) · Nutrition · doi:10.1016/j.nut.2022.111724 · Cited by 18
Han, Z., Ji, N., Ma, J., Dong, Q., & Ma, X. (2022) · Orthopaedic Surgery · doi:10.1111/os.13208 · Cited by 17
Seko, T., Akasaka, H., Koyama, M., Himuro, N., Saitoh, S., Miura, T., Mori, M., & Ohnishi, H. (2019) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.13805 · Cited by 16
Takahashi, F., Hashimoto, Y., Kaji, A., Sakai, R., Kawate, Y., Okamura, T., Okada, H., Kitagawa, N., Nakanishi, N., Majima, S., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.881877 · Cited by 16
Kim, K. E., Bae, S. U., Jeong, W. K., & Baek, S. K. (2022) · Nutrients · doi:10.3390/nu14193971 · Cited by 16
Metadata
- Authors
- Kim, M., Shinkai, S., Murayama, H., & Mori, S.
- Affiliations
- Tokyo Metropolitan Institute of Gerontology (JP)
- Tokyo Metropolitan Geriatric Hospital (JP)
- Corresponding author
- Kim, Miji
- Venue
- Geriatrics & Gerontology International
- Publisher
- Wiley
- Published
- 2014-10-27
- Volume
- 15
- Issue
- 8
- Pages
- 1013-1022
- ISSN
- 1444-1586 (ISSN-L)
- 1447-0594
- OpenAlex
- W1579246632
- Cited by
- 221
- References
- 37
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 36 · 2023: 19 · 2022: 37 · 2021: 32 · 2020: 26 · 2019: 15 · 2018: 17 · 2017: 8 · 2016: 8 · 2015: 3
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Geriatrics and gerontology international/Geriatrics & gerontology international (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (24792611)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Keywords
- dual-energy X-ray absorptiometry, body composition, fat mass, lean soft tissue mass, appendicular lean mass, older adults, community-dwelling older adults, measurement agreement, validation
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Body Composition, Female, Humans, Japan, Male, Obesity, Prospective Studies, Residence Characteristics, Sensitivity and Specificity, Sex Factors, Cohort Studies, Absorptiometry, Photon, Geriatric Assessment, Body Mass Index, Linear Models, Electric Impedance, Risk Assessment, Sarcopenia, Independent Living
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