Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (1,000 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The measurement of subcutaneous fat located directly beneath the skin by grasping a fold of skin and subcutaneous fat between the thumb and forefinger and pulling it away from the underlying muscle tissue. The thickness of the double layer of skin and subcutaneous tissue is then read with a caliper. The five most frequently measured sites are the upper arm, below the scapula, above the hip bone, the abdomen, and the thigh. Its application is the determination of relative fatness, of changes in physical conditioning programs, and of the percentage of body fat in desirable body weight. (From McArdle, et al., Exercise Physiology, 2d ed, p496-8)
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Skinfold Thicknesses; Thicknesses, Skinfold; Thickness, Skinfold.
Where it fits in the MeSH classification
- Broader topics
- Body Weights and Measures
Research landscape
PubMed indexes 6,384 records tagged with the MeSH heading “Skinfold Thickness” (counts retrieved 2026-10-31). 297 of them (4.7%) were published from 2020 onward, and the busiest period so far is through 1999 with 3,728 records.
Reviews account for 232 records (3.6%) and meta-analyses for 18. Randomized controlled trials number 266 (4.2%) as a share of all records on the topic.
Show the data
| Period | Records |
|---|---|
| through 1999 | 3,728 |
| 2000-2009 | 1,263 |
| 2010-2019 | 1,096 |
| 2020 onward | 297 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 232 | 3.6% |
| Meta-analyses | 18 | 0.3% |
| Randomized controlled trials | 266 | 4.2% |
Method: PubMed query "Skinfold Thickness"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in anatomy and physiology
Anatomy describes how body structures are built and physiology describes how they normally work, so most findings here are descriptive or mechanistic rather than evidence about treatment. Much of what is known comes from dissection, imaging, tissue studies and experiments in animals, and measurements in healthy volunteers can differ from those in people with disease or at different ages. Normal ranges vary between individuals and populations. Check whether a result was measured in people or in another species, the age and health of the participants, and the method used.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
Correlations among adiposity measures in school-aged children [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundGiven that it is not feasible to use dual x-ray absorptiometry (DXA) or other reference methods to measure adiposity in all pediatric clinical and research settings, it is important to identify reasonable alternatives.
- Closing excerpt
- Although these measurement methods have limitations, BMI and skinfolds are adequate surrogate measures of relative adiposity in children when DXA is not practical.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (224 words)
BackgroundGiven that it is not feasible to use dual x-ray absorptiometry (DXA) or other reference methods to measure adiposity in all pediatric clinical and research settings, it is important to identify reasonable alternatives. Therefore, we sought to determine the extent to which other adiposity measures were correlated with DXA fat mass in school-aged children.MethodsIn 1110 children aged 6.5-10.9 years in the pre-birth cohort Project Viva, we calculated Spearman correlation coefficients between DXA (n=875) and other adiposity measures including body mass index (BMI), skinfold thickness, circumferences, and bioimpedance. We also computed correlations between lean body mass measures.Results50.0% of the children were female and 36.5% were non-white. Mean (SD) BMI was 17.2 (3.1) and total fat mass by DXA was 7.5 (3.9) kg. DXA total fat mass was highly correlated with BMI (r(s)=0.83), bioimpedance total fat (r(s)=0.87), and sum of skinfolds (r(s)=0.90), and DXA trunk fat was highly correlated with waist circumference (r(s)=0.79). Correlations of BMI with other adiposity indices were high, e.g., with waist circumference (r(s)=0.86) and sum of subscapular plus triceps skinfolds (r(s)=0.79). DXA fat-free mass and bioimpedance fat-free mass were highly correlated (r(s)=0.94).ConclusionsIn school-aged children, BMI, sum of skinfolds, and other adiposity measures were strongly correlated with DXA fat mass. Although these measurement methods have limitations, BMI and skinfolds are adequate surrogate measures of relative adiposity in children when DXA is not practical.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 23799991 · DOI · PMC3693882
Come Back Skinfolds, All Is Forgiven: A Narrative Review of the Efficacy of Common Body Composition Methods in Applied Sports Practice [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Whilst the assessment of body composition is routine practice in sport, there remains considerable debate on the best tools available, with the chosen technique often based upon convenience rather than understanding the method and its limitations.
- Closing excerpt
- However, given the need for simplicity and after considering the evidence across all assessment methods, skinfolds appear to be the least affected by day-to-day variability, leading to the conclusion 'come back skinfolds, all is forgiven'.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (248 words)
Whilst the assessment of body composition is routine practice in sport, there remains considerable debate on the best tools available, with the chosen technique often based upon convenience rather than understanding the method and its limitations. The aim of this manuscript was threefold: (1) provide an overview of the common methodologies used within sport to measure body composition, specifically hydro-densitometry, air displacement plethysmography, bioelectrical impedance analysis and spectroscopy, ultra-sound, three-dimensional scanning, dual-energy X-ray absorptiometry (DXA) and skinfold thickness; (2) compare the efficacy of what are widely believed to be the most accurate (DXA) and practical (skinfold thickness) assessment tools and (3) provide a framework to help select the most appropriate assessment in applied sports practice including insights from the authors' experiences working in elite sport. Traditionally, skinfold thickness has been the most popular method of body composition but the use of DXA has increased in recent years, with a wide held belief that it is the criterion standard. When bone mineral content needs to be assessed, and/or when it is necessary to take limb-specific estimations of fat and fat-free mass, then DXA appears to be the preferred method, although it is crucial to be aware of the logistical constraints required to produce reliable data, including controlling food intake, prior exercise and hydration status. However, given the need for simplicity and after considering the evidence across all assessment methods, skinfolds appear to be the least affected by day-to-day variability, leading to the conclusion 'come back skinfolds, all is forgiven'.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33806245 · DOI · PMC8065383
Comparison of Bioelectrical Impedance Analysis, Slaughter Skinfold-Thickness Equations, and Dual-Energy X-ray Absorptiometry for Estimating Body Fat Percentage in Colombian Children and Adolescents with Excess of Adiposity [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Dual-energy X-ray absorptiometry (DXA) has been considered a reference method for measuring body fat percentage (BF%) in children and adolescents with an excess of adiposity.
- Closing excerpt
- BIA analysers and Slaughter equations underestimated BF% measurements compared to DXA, so they are not interchangeable methods for assessing BF% in Latin American children and adolescents with excess of adiposity.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (267 words)
Dual-energy X-ray absorptiometry (DXA) has been considered a reference method for measuring body fat percentage (BF%) in children and adolescents with an excess of adiposity. However, given that the DXA technique is impractical for routine field use, there is a need to investigate other methods that can accurately determine BF%. We studied the accuracy of bioelectrical impedance analysis (BIA) technology, including foot-to-foot and hand-to-foot impedance, and Slaughter skinfold-thickness equations in the measurement of BF%, compared with DXA, in a population of Latin American children and adolescents with an excess of adiposity. A total of 127 children and adolescents (11⁻17 years of age; 70% girls) from the HEPAFIT (Exercise Training and Hepatic Metabolism in Overweight/Obese Adolescent) study were included in the present work. BF% was measured on the same day using two BIA analysers (Seca® 206, Allers Hamburg, Germany and Model Tanita® BC-418®, TANITA Corporation, Sportlife Tokyo, Japan), skinfold measurements (Slaughter equation), and DXA (Hologic Horizon DXA System®, Quirugil, Bogotá, Columbia). Agreement between measurements was analysed using t-tests, Bland⁻Altman plots, and Lin's concordance correlation coefficient (ρc). There was a significant correlation between DXA and the other BF% measurement methods (r > 0.430). According to paired t-tests, in both sexes, BF% assessed by BIA analysers or Slaughter equations differ from BF% assessed by DXA (p ® mBCA, Tanita® BC 420MA, and Slaughter equations, respectively. Concordance was poor between DXA and the other methods of measuring BF% (ρc < 0.5). BIA analysers and Slaughter equations underestimated BF% measurements compared to DXA, so they are not interchangeable methods for assessing BF% in Latin American children and adolescents with excess of adiposity.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30110944 · DOI · PMC6115719
Skinfolds Measurement Protocols and Standards: A Narrative Review [4]
Abstract reading summary — source excerpts
- Opening excerpt
- Skinfold thickness assessment is one of the most widely used anthropometric methods for estimating subcutaneous adipose tissue and overall body adiposity in clinical, epidemiological, and sports settings.
- Closing excerpt
- Skinfold measurement protocols and standards are not interchangeable and reflect pluralistic, complementary international initiatives rather than a single institutional standardization process.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (261 words)
Skinfold thickness assessment is one of the most widely used anthropometric methods for estimating subcutaneous adipose tissue and overall body adiposity in clinical, epidemiological, and sports settings. Despite its long-standing application, substantial heterogeneity persists across measurement protocols and standardization systems, potentially affecting reproducibility and comparability across studies. This narrative review aims to critically synthesize the historical, conceptual, methodological, and technical development of the main skinfold measurement protocols and standards, systematically compare their characteristics, and examine their methodological and practical implications for research and clinical applications. A targeted bibliographic synthesis of classic textbooks, consensus manuals, and original peer-reviewed studies on surface anthropometry was conducted. Seventeen anatomical skinfold sites and 31 distinct technical descriptions were identified, including 22 site-selection protocols and 9 measurement standards. Five established standards were comparatively analyzed, with emphasis on anatomical landmarking, fold orientation, spatial pinching procedures, and temporal reading control. Similarities were observed in general technical principles, including right-side assessment, perpendicular caliper application, controlled reading time, and maintenance of fold elevation. However, persistent divergences were identified in anatomical definitions, fold orientation, landmark precision, spatial positioning of pinch and caliper jaws, and recommended reading time, with greater heterogeneity at trunk sites than limb sites. Although the reviewed protocols and standards were developed for broad application across age groups, this review primarily reflected their use in adolescents and adults, as skinfold assessment in infants and young children involves additional considerations related to growth dynamics and rapid changes in adipose tissue. Skinfold measurement protocols and standards are not interchangeable and reflect pluralistic, complementary international initiatives rather than a single institutional standardization process.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42203160 · DOI · PMC13276579
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Contemporary methods of body composition measurement [5]
- Research article A meta-analysis of school-based obesity prevention programs demonstrates limited efficacy of decreasing childhood obesity [6]
- Research article One million skinfolds: secular trends in the fatness of young people 1951-2004 [7]
- Research article Cadaver studies and their impact on the understanding of human adiposity [8]
- Research article Type 1 diabetes and body composition in youth: A systematic review [9]
- Research article Validation of skinfold measurements and bioelectrical impedance analysis in children with severe cerebral palsy: a review [10]
References
- Boeke CE, Oken E, Kleinman KP, Rifas-Shiman SL, Taveras EM, Gillman MW. Correlations among adiposity measures in school-aged children. . 2013. PMID 23799991 · DOI · PMC3693882
- Kasper AM, Langan-Evans C, Hudson JF, Brownlee TE, Harper LD, Naughton RJ, et al.. Come Back Skinfolds, All Is Forgiven: A Narrative Review of the Efficacy of Common Body Composition Methods in Applied Sports Practice. . 2021. PMID 33806245 · DOI · PMC8065383
- González-Ruíz K, Medrano M, Correa-Bautista JE, García-Hermoso A, Prieto-Benavides DH, Tordecilla-Sanders A, et al.. Comparison of Bioelectrical Impedance Analysis, Slaughter Skinfold-Thickness Equations, and Dual-Energy X-ray Absorptiometry for Estimating Body Fat Percentage in Colombian Children and Adolescents with Excess of Adiposity. . 2018. PMID 30110944 · DOI · PMC6115719
- Cintra JH, Costa-Pereira JP, Ripka WL, Freire-Correia MI, Jesus FA, Silva AM, et al.. Skinfolds Measurement Protocols and Standards: A Narrative Review. . 2026. PMID 42203160 · DOI · PMC13276579
- Fosbøl MØ, Zerahn B. Contemporary methods of body composition measurement. Clin Physiol Funct Imaging. 2015. PMID 24735332 · DOI
- Hung LS, Tidwell DK, Hall ME, Lee ML, Briley CA, Hunt BP. A meta-analysis of school-based obesity prevention programs demonstrates limited efficacy of decreasing childhood obesity. Nutr Res. 2015. PMID 25656407 · DOI
- Olds TS. One million skinfolds: secular trends in the fatness of young people 1951-2004. Eur J Clin Nutr. 2009. PMID 19223919 · DOI
- Clarys JP, Provyn S, Marfell-Jones MJ. Cadaver studies and their impact on the understanding of human adiposity. Ergonomics. 2005. PMID 16338712 · DOI
- Calella P, Gallè F, Fornelli G, Liguori G, Valerio G. Type 1 diabetes and body composition in youth: A systematic review. Diabetes Metab Res Rev. 2020. PMID 31352688 · DOI
- Rieken R, Calis EA, Tibboel D, Evenhuis HM, Penning C. Validation of skinfold measurements and bioelectrical impedance analysis in children with severe cerebral palsy: a review. Clin Nutr. 2010. PMID 19683370 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-31.
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Evidence strength
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