The DOI matches its Crossref record.
The assessment of the amount of fat in the human body from measurements of skinfold thickness
Open accessAbstract
1. Skinfold thickness and body density were measured on 105 young adult men and women and 86 adolescent boys and girls. 2. The correlation coefficients between the skinfold thicknesses, either single or multiple, and density were in the region of −0.80. 3. Regression equations were calculated to predict body fat from skinfolds with an error of about ±3.5%. 4. A table gives the percentage of the body-weight as fat from the measurement of skin-fold thickness.
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.
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
Cited by
HÄKKINEN, K., ALÉN, M., & KOMI, P. V. (1985) · Acta Physiologica Scandinavica · doi:10.1111/j.1748-1716.1985.tb07759.x · Cited by 766
Strength and cross‐sectional area of human skeletal muscle.
Maughan, R. J., Watson, J. S., & Weir, J. (1983) · The Journal of Physiology · doi:10.1113/jphysiol.1983.sp014658 · Cited by 750
Schellen, L., Van Marken Lichtenbelt, W. D., Loomans, M. G. L. C., Toftum, J., & De Wit, M. H. (2010) · Indoor Air · doi:10.1111/j.1600-0668.2010.00657.x · Cited by 377
Effect of muscle temperature on leg extension force and short-term power output in humans
Sargeant, A. J. (1987) · European Journal of Applied Physiology and Occupational Physiology · doi:10.1007/bf00424812 · Cited by 370
Post-exercise rehydration in man: effects of volume consumed and drink sodium content
SHIRREFFS, S. M., TAYLOR, A. J., LEIPER, J. B., & MAUGHAN, R. J. (1996) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199610000-00009 · Cited by 331
Metadata
- Authors
- Durnin, J. V. G. A., & Rahaman, M. M.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 1967-09
- Volume
- 21
- Issue
- 3
- Pages
- 681-689
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2153335704
- Cited by
- 1,685
- References
- 0
- FWCI
- 21.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The assessment of the amount of fat in the human body from measurements of skinfold thickness. https://app.cochat.ai/papers/10.1079/bjn19670070
- The paper
- Durnin, J. V. G. A., & Rahaman, M. M. (1967). The assessment of the amount of fat in the human body from measurements of skinfold thickness. British Journal of Nutrition. https://doi.org/10.1079/bjn19670070
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.