Comparison of four quick and reliable methods of assessing body fat appropriate for clinical settings among young, middle-age, and older healthy male and female adults Article Swipe
Rafael F. Escamilla
,
Kyle Yamashiro
,
Robert Asuncion
,
Dan MacLean
,
Irwin S. Thompson
,
Michael McKeough
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1589/jpts.36.518
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1589/jpts.36.518
[Purpose] Compare four quick (approximately 60 s), reliable methods of assessing %body-fat (%BF) among young (Y, 18-34 years), middle-age (M, 35-59 years), and older (O, 60-88 years) healthy-adults. [Participants and Methods] One-hundred-eighty healthy males-and-females were equally (n=30) divided into Y, M, and O age groups to assess %BF. The %BF methods were: 1) Bioelectrical-impedance-Inbody770 (IB)-criterion reference; 2) Body-mass-index (BMI); 3) Abdominal-and-hip circumferences (CIR); and 4) Skinfold (SF). [Results] %BF were significantly different among the four body-fat methods and among the three age-groups for both males-and-females. %BF among IB,BMI,CIR, and SF were, respectively, 15.7 ± 4.7%, 19.6 ± 3.2%, 17.3 ± 3.5%, and 12.1 ± 4.1% for Y-males; 18.3 ± 5.7%, 22.8 ± 3.6%, 19.6 ± 3.6%, and 15.6 ± 4.5% for M-males; 24.4 ± 6.5%, 25.8 ± 3.3%, 24.0 ± 4.5%, and 20.0 ± 4.1% for O-males; 24.9 ± 6.9%, 28.9 ± 4.1%, 29.4 ± 4.6%, and 22.4 ± 6.3% for Y-females; 25.1 ± 7.0%, 31.4 ± 4.7%, 33.0 ± 4.5%, and 25.0 ± 4.5% for M-females; 35.1 ± 6.3%, 35.5 ± 4.3%, 38.4 ± 4.8%, and 26.4 ± 3.7% for O-females. [Conclusion]The most accurate %BF-methods to use in clinical settings are CIR for Y-and-M-males, CIR and BMI for O-males, SF for Y-and M-females, and BMI for O-females. The least accurate %BF methods are BMI and SF for Y-males, BMI for M-males, SF for O-males, BMI and CIR for Y-and M-females, and SF for O-females. While all 4-methods of assessing %BF can easily and quickly be employed in clinical settings, some methods significantly underestimate or overestimate %BF and yield different results among varying age groups and sex. These findings help identify people at early health risk of cardiometabolic disease, with O-males and O-females at higher risk.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1589/jpts.36.518
- OA Status
- diamond
- Cited By
- 3
- References
- 36
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402210634Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1589/jpts.36.518Digital Object Identifier
- Title
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Comparison of four quick and reliable methods of assessing body fat appropriate for clinical settings among young, middle-age, and older healthy male and female adultsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Rafael F. Escamilla, Kyle Yamashiro, Robert Asuncion, Dan MacLean, Irwin S. Thompson, Michael McKeoughList of authors in order
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https://doi.org/10.1589/jpts.36.518Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1589/jpts.36.518Direct OA link when available
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Medicine, Bioelectrical impedance analysis, Body mass index, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2012154384, https://openalex.org/W2038643554, https://openalex.org/W1976210931, https://openalex.org/W2107832644, https://openalex.org/W2118990601, https://openalex.org/W1957255860, https://openalex.org/W3169844601, https://openalex.org/W2319974702, https://openalex.org/W2019699812, https://openalex.org/W2971178087, https://openalex.org/W3136617873, https://openalex.org/W2941918687, https://openalex.org/W4211200033, https://openalex.org/W3195449346, https://openalex.org/W3049089671, https://openalex.org/W3121284498, https://openalex.org/W2899212211, https://openalex.org/W1929626127, https://openalex.org/W2047276663, https://openalex.org/W2117696928, https://openalex.org/W2068865027, https://openalex.org/W2070835620, https://openalex.org/W1992483671, https://openalex.org/W1254677542, https://openalex.org/W2029871855, https://openalex.org/W2016071784, https://openalex.org/W3004876731, https://openalex.org/W2021840875, https://openalex.org/W1574715084, https://openalex.org/W2168789854, https://openalex.org/W2415650752, https://openalex.org/W1866486203, https://openalex.org/W2123211977, https://openalex.org/W2596660571, https://openalex.org/W2413808534, https://openalex.org/W2082714876 |
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| abstract_inverted_index.4.3%, | 172 |
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| abstract_inverted_index.4.6%, | 145 |
| abstract_inverted_index.4.7%, | 94, 157 |
| abstract_inverted_index.4.8%, | 175 |
| abstract_inverted_index.5.7%, | 109 |
| abstract_inverted_index.6.3%, | 169 |
| abstract_inverted_index.6.5%, | 124 |
| abstract_inverted_index.6.9%, | 139 |
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| abstract_inverted_index.Y-females; | 151 |
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