Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 33

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Sex- and age-specific percentiles of body composition indices for Chinese adults using dual-energy X-ray absorptiometry

Xiao, Zeyu, Guo, Bin, Gong, Jian, Tang, Yongjin, Shang, Jingjie, Cheng, Yong, Xu, Hao·2017·European Journal of Nutrition
DOI 10.1007/s00394-016-1279-9
Open this paper in CoChat — free account

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00394-016-1279-9

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Cites

Show all 3 references

Research works printed but not linked: 27

  1. Thibault R, Genton L, Pichard C (2012) Body composition: why, when and for who? Clin Nutr 31(4):435–447. doi: 10.1016/j.clnu.2011.12.011 · DOI
  2. Visser M, Langlois J, Guralnik JM, Cauley JA, Kronmal RA, Robbins J, Williamson JD, Harris TB (1998) High body fatness, but not low fat-free mass, predicts disability in older men and women: the Cardiovascular Health Study. Am J Clin Nutr 68(3):584–590 · DOI · Paper page
  3. Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL (2014) Indices of relative weight and obesity. Int J Epidemiol 43(3):655–665. doi: 10.1093/ije/dyu058 · DOI · Paper page
  4. Muller MJ (2013) From BMI to functional body composition. Eur J Clin Nutr 67(11):1119–1121. doi: 10.1038/ejcn.2013.174 · DOI
  5. VanItallie TB, Yang MU, Heymsfield SB, Funk RC, Boileau RA (1990) Height-normalized indices of the body’s fat-free mass and fat mass: potentially useful indicators of nutritional status. Am J Clin Nutr 52(6):953–959 · DOI · Paper page
  6. Peltz G, Aguirre MT, Sanderson M, Fadden MK (2010) The role of fat mass index in determining obesity. Am J Hum Biol 22(5):639–647. doi: 10.1002/ajhb.21056 · DOI
  7. Liu P, Ma F, Lou H, Zhu Y (2014) Utility of obesity indices in screening Chinese postmenopausal women for metabolic syndrome. Menopause 21(5):509–514. doi: 10.1097/GME.0b013e3182a170be · DOI
  8. Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, Garry PJ, Lindeman RD (1998) Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 147(8):755–763 · DOI · Paper page
  9. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, Topinkova E, Vandewoude M, Zamboni M (2010) Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in older people. Age Ageing 39(4):412–423. doi: 10.1093/ageing/afq034 · DOI · Paper page
  10. Toombs RJ, Ducher G, Shepherd JA, De Souza MJ (2012) The impact of recent technological advances on the trueness and precision of DXA to assess body composition. Obes (Silver Spring) 20(1):30–39. doi: 10.1038/oby.2011.211 · DOI · Paper page
  11. Kelly TL, Wilson KE, Heymsfield SB (2009) Dual energy X-ray absorptiometry body composition reference values from NHANES. PLoS ONE 4(9):e7038. doi: 10.1371/journal.pone.0007038 · DOI · Paper page
  12. Fan B, Shepherd JA, Levine MA, Steinberg D, Wacker W, Barden HS, Ergun D, Wu XP (2014) National Health and Nutrition Examination Survey whole-body dual-energy X-ray absorptiometry reference data for GE Lunar systems. J Clin Densitom 17(3):344–377. doi: 10.1016/j.jocd.2013.08.019 · DOI
  13. Hong S, Oh HJ, Choi H, Kim JG, Lim SK, Kim EK, Pyo EY, Oh K, Kim YT, Wilson K, Choi WH (2011) Characteristics of body fat, body fat percentage and other body composition for Koreans from KNHANES IV. J Korean Med Sci 26(12):1599–1605. doi: 10.3346/jkms.2011.26.12.1599 · DOI
  14. Guo B, Xu Y, Gong J, Tang Y, Shang J, Xu H (2015) Reference data and percentile curves of body composition measured with dual energy X-ray absorptiometry in healthy Chinese children and adolescents. J Bone Miner Metab 33(5):530–539. doi: 10.1007/s00774-014-0615-5 · DOI
  15. Maskarinec G, Erber E, Grandinetti A, Verheus M, Oum R, Hopping BN, Schmidt MM, Uchida A, Juarez DT, Hodges K, Kolonel LN (2009) Diabetes incidence based on linkages with health plans: the multiethnic cohort. Diabetes 58(8):1732–1738. doi: 10.2337/db08-1685 · DOI
  16. Stommel M, Schoenborn CA (2010) Variations in BMI and prevalence of health risks in diverse racial and ethnic populations. Obes (Silver Spring) 18(9):1821–1826. doi: 10.1038/oby.2009.472 · DOI
  17. Lee MJ, Wu Y, Fried SK (2013) Adipose tissue heterogeneity: implication of depot differences in adipose tissue for obesity complications. Mol Asp Med 34(1):1–11. doi: 10.1016/j.mam.2012.10.001 · DOI · Paper page
  18. Katzmarzyk PT, Bray GA, Greenway FL, Johnson WD, Newton RL Jr, Ravussin E, Ryan DH, Smith SR, Bouchard C (2010) Racial differences in abdominal depot–specific adiposity in white and African American adults. Am J Clin Nutr 91(1):7–15. doi: 10.3945/ajcn.2009.28136 · DOI · Paper page
  19. Cole TJ, Green PJ (1992) Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med 11(10):1305–1319 · DOI · Paper page
  20. Sanada K, Miyachi M, Tanimoto M, Yamamoto K, Murakami H, Okumura S, Gando Y, Suzuki K, Tabata I, Higuchi M (2010) A cross-sectional study of sarcopenia in Japanese men and women: reference values and association with cardiovascular risk factors. Eur J Appl Physiol 110(1):57–65. doi: 10.1007/s00421-010-1473-z · DOI · Paper page
  21. Wells JC (2007) Sexual dimorphism of body composition. Best Pract Res Clin Endocrinol Metab 21(3):415–430. doi: 10.1016/j.beem.2007.04.007 · DOI · Paper page
  22. Pinnick KE, Nicholson G, Manolopoulos KN, McQuaid SE, Valet P, Frayn KN, Denton N, Min JL, Zondervan KT, Fleckner J, McCarthy MI, Holmes CC, Karpe F (2014) Distinct developmental profile of lower-body adipose tissue defines resistance against obesity-associated metabolic complications. Diabetes 63(11):3785–3797. doi: 10.2337/db14-0385 · DOI
  23. Reis JP, Loria CM, Lewis CE, Powell-Wiley TM, Wei GS, Carr JJ, Terry JG, Liu K (2013) Association between duration of overall and abdominal obesity beginning in young adulthood and coronary artery calcification in middle age. JAMA 310(3):280–288. doi: 10.1001/jama.2013.7833 · DOI
  24. Morimoto Y, Maskarinec G, Conroy SM, Lim U, Shepherd J, Novotny R (2012) Asian ethnicity is associated with a higher trunk/peripheral fat ratio in women and adolescent girls. J Epidemiol 22(2):130–135 · DOI
  25. Kadowaki T, Sekikawa A, Murata K, Maegawa H, Takamiya T, Okamura T, El-Saed A, Miyamatsu N, Edmundowicz D, Kita Y, Sutton-Tyrrell K, Kuller LH, Ueshima H (2006) Japanese men have larger areas of visceral adipose tissue than Caucasian men in the same levels of waist circumference in a population-based study. Int J Obes (Lond) 30(7):1163–1165. doi: 10.1038/sj.ijo.0803248 · DOI
  26. He Q, Horlick M, Thornton J, Wang J, Pierson RN Jr, Heshka S, Gallagher D (2002) Sex and race differences in fat distribution among Asian, African-American, and Caucasian prepubertal children. J Clin Endocrinol Metab 87(5):2164–2170. doi: 10.1210/jcem.87.5.8452 · DOI
  27. Zhou BF (2002) Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults–study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 15(1):83–96

Cited by

Metadata

Authors
Xiao, Z., Guo, B., Gong, J., Tang, Y., Shang, J., Cheng, Y., & Xu, H.
Venue
European Journal of Nutrition
Publisher
Springer Science and Business Media LLC
Published
2016-07-29
Volume
56
Issue
7
Pages
2393-2406
ISSN
  • 1436-6207
  • 1436-6215
DOI
10.1007/s00394-016-1279-9
Cited by
33
References
3
Language
en
Licence
creativecommons.org/licenses/by/4.0 (unspecified)

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

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.