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Body composition techniques.
Open accessAbstract
Body composition is known to be associated with several diseases, such as cardiovascular disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition measurements are useful in assessing the effectiveness of nutritional interventions and monitoring the changes associated with growth and disease conditions. Changes in body composition occur when there is a mismatch between nutrient intake and requirement. Altered body composition is observed in conditions such as wasting and stunting when the nutritional intake may be inadequate. Overnutrition on the other hand leads to obesity. Many techniques are available for body composition assessment, which range from simple indirect measures to more sophisticated direct volumetric measurements. Some of the methods that are used today include anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis. The methods vary in their precision and accuracy. Imaging techniques such as nuclear magnetic resonance imaging and computed tomography have become powerful tools due to their ability of visualizing and quantifying tissues, organs, or constituents such as muscle and adipose tissue. However, these methods are still considered to be research tools due to their cost and complexity of use. This review was aimed to describe the commonly used methods for body composition analysis and provide a brief introduction on the latest techniques available.
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“Several techniques have been used to assess the body composition of children and adolescents, and dual X-ray absorptiometry (DXA) is one of the standard reference methods and non-invasive measurements for FFM and FM (8–10).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [9]
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“Whole-body-based techniques, such as anthropometry and bioelectrical impedance analysis (BIA), used as predictors in regression equations, developed and validated using DXA as the reference method, are a viable alternative for clinical evaluation since they are non-invasive, ideal for quantitative estimates of FFM and FM based on mathematical models, portable, and relatively low cost (9, 18, 19).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [9]
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Metadata
- Authors
- Kuriyan, R.
- Affiliations
- St. John's National Academy of Health Sciences (IN)
- Corresponding author
- Kuriyan, Rebecca
- ORCID
- Kuriyan, Rebecca
- Venue
- Indian Journal of Medical Research
- Publisher
- Scientific Scholar
- Published
- 2018-11
- Volume
- 148
- Issue
- 5
- Pages
- 648-658
- ISSN
- 0971-5916 (ISSN-L)
- PMC
- PMC6366261
- OpenAlex
- W2911737268
- Cited by
- 384
- References
- 92
- Citations by year
- 2026: 33 · 2025: 51 · 2024: 89 · 2023: 80 · 2022: 67 · 2021: 34 · 2020: 24 · 2019: 6
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- The Indian Journal of Medical Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- 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
- body composition, anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography, bioelectrical impedance analysis, magnetic resonance imaging, computed tomography, obesity, wasting, stunting, nutritional status
- MeSH terms
- Anthropometry, Body Composition, Body Weights and Measures, Humans, Obesity, Dimensional Measurement Accuracy
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 ›
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