Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Systematic Review
  • Published:

Pediatrics

Correlations and consistency of body composition measurement indicators and BMI: a systematic review

Abstract

Objective

It is critical to accurately determine the level of obesity and health status since overweight/obesity has become a main global public health problem. This systematic review attempted to evaluate the consistency and correlation between body composition measurement indicators and body mass index (BMI) in childhood and adolescence.

Methods

Seven electronic databases (Web of Science, PubMed, Cochrane Library, Embase, CNKI, WANFANG DATA, SinoMed) were searched to collect the literature published since 1999 with the focus on the relationship between body composition measurement indicators and BMI to measure obesity in childhood and adolescence.

Results

Among the 28 articles included, 13 articles reported a moderate to very strong correlation between %BF and BMI in obesity measurement (range: 0.49–0.907), while two articles reported a strong to very strong correlation between FM and BMI (range: 0.60–0.86). Six articles reported good to excellent obesity measurement consistency between %BF and BMI (range: 0.441–0.876), one article reported WC (0.58) and WHtR (0.46) in the moderate consistency with BMI, and one article reported a relatively poor to fair consistency between FM and BMI (range: 0.167–0.409). WC, WHtR, and BMI showed the moderate consistency in pre-adolescent children. In pre-adolescence and adolescence, the measurement consistency between %BF and BMI was higher than that between FM and BMI. Gender difference existed in the consistency between %BF and BMI during adolescence.

Conclusion

A range of body composition indicators such as %BF, WC, WHtR, and FM could provide valuable body composition measurements, complement BMI for obesity assessment in children and adolescents, and facilitate efficient and comprehensive surveillance of childhood obesity.

Registration

PROSPERO CRD42024506932.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1

Similar content being viewed by others

References

  1. James W. WHO recognition of the global obesity epidemic. Int J Obes. 2008;32:S120–S126.

    Article  Google Scholar 

  2. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet. 2024;403:1027–50.

    Article  Google Scholar 

  3. O’Connor E, Evans C, Burda B, Walsh E, Eder M, Lozano P. Screening for obesity and intervention for weight management in children and adolescents: a systematic evidence review for the US Preventive Services Task Force. J Am Med Assoc 2017;317:2427–44.

    Article  Google Scholar 

  4. Liang J, Zheng S, Li X, Xiao D, Wang P. Associations of community, family and early individual factors with body mass index z-scores trajectories among Chinese children and adolescents. Sci Rep. 2021;11:14535.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Banack H, Wactawski-Wende J, Hovey K, Stokes A. Is BMI a valid measure of obesity in post-menopausal women? Menopause. 2018;25:307–13.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nuttall F. Body mass index obesity, BMI, and health: a critical review. Nutr Today. 2015;50:117–23.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Malina R, Katzmarzyk P. Validity of the body mass index as an indicator of the risk and presence of overweight in adolescents. Am J Clin Nutr. 1997;70:131S–6S.

    Article  Google Scholar 

  8. Jayawardena R, Ranasinghe P, Ranathunga T, Mathangasinghe Y, Wasalathanththri S, Hills A. Novel anthropometric parameters to define obesity and obesity-related disease in adults: a systematic review. Nutr Rev. 2020;78:498–513.

    Article  PubMed  Google Scholar 

  9. Magalhães E, Sant’Ana L, Priore S, Franceschini S. Waist circumference, waist/height ratio, and neck circumference as parameters of central obesity assessment in children. Rev Paul Pediatr. 2014;32:273–81.

    PubMed  PubMed Central  Google Scholar 

  10. Junior C, Mocellin M, Gonçalves E, Silva D, Trindade E. Anthropometric indicators as body fat discriminators in children and adolescents: a systematic review and meta-analysis. Adv Nutr. 2017;8:718–27.

    Article  Google Scholar 

  11. Mahmoud I, Al-Wandi A, Gharaibeh S, Mohamed S. Concordances and correlations between anthropometric indices of obesity: a systematic review. Public Health. 2021;198:301–6.

    Article  CAS  PubMed  Google Scholar 

  12. United Nations. Convention on the Rights of the Child. General Assembly resolution 44/25, United Nations Headquarter; 1989.

  13. Farbo D, Rhea D. A pilot study examining body composition classification differences between body mass index and bioelectrical impedance analysis in children with high levels of physical activity. Front Pediatr. 2021;9:724053.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Himes J. Agreement among anthropometric indicators identifying the fattest adolescents. Int J Obes. 1999;23:S18–S21.

    Article  Google Scholar 

  15. Laurson K, Eisenmann J, Welk G. Body mass index standards based on agreement with health-related body fat. Am J Prev Med. 2011;41:S100–S105.

    Article  PubMed  Google Scholar 

  16. McConnell-Nzungaa J, Naylorb P, Macdonaldc H, Rhodesb R, Hoferd S, McKaye H. Classification of obesity varies between body mass index and direct measures of body fat in boys and girls of Asian and European ancestry. Meas Phys Educ Exerc Sci. 2018;22:154–66.

    Article  Google Scholar 

  17. Kakinami L, Henderson M, Chiolero A, Cole T, Paradis G. Identifying the best body mass index metric to assess adiposity change in children. Arch Dis Child. 2014;99:1020–4.

    Article  PubMed  Google Scholar 

  18. Ellis K, Abrams S, Wong W. Monitoring childhood obesity: assessment of the weight/height2 index. Am J Epidemiol. 1999;150:939–46.

    Article  CAS  PubMed  Google Scholar 

  19. Clasey J, Easley E, Murphy M, Kiessling S, Stromberg A, Schadler A, et al. Body mass index percentiles versus body composition assessments: challenges for disease risk classifications in children. Front Pediatr. 2023;11:1112920.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Brann L. Classifying preadolescent boys based on their weight status and percent body fat produces different groups. J Am Diet Assoc. 2008;108:1018–22.

    Article  PubMed  Google Scholar 

  21. Salman H, Koca T, Dereci S, Akçam M. Comparison of body composition and body mass index in the determination of obesity in schoolchildren. Turk Arch Pediatr. 2022;57:506–10.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Veldhuis L, Vogel I, Jansen W, Renders C, HiraSing R, Raat H. Moderate agreement between body mass index and measures of waist circumference in the identification of overweight among 5-year-old children; the ‘Be active, eat right’ study. BMC Pediatr. 2013;13:1–8.

    Article  Google Scholar 

  23. Hubert H, Guinhouya C, Allard L, Durocher A. Comparison of the diagnostic quality of body mass index, waist circumference and waist-to-height ratio in screening skinfold-determined obesity among children. J Sci Med Sport. 2009;12:449–51.

    Article  PubMed  Google Scholar 

  24. Cameron N, Jones L, Griffiths P, Norris S, Pettifor J. How well do waist circumference and body mass index reflect body composition in pre-pubertal children? Eur J Clin Nutr. 2009;63:1065–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Kim K, Yun S, Jang M, Oh K. Body fat percentile curves for Korean children and adolescents: a data from the Korea National Health and Nutrition Examination Survey 2009-2010. J Korean Med Sci. 2013;28:443–9.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Rerksuppaphol S, Rerksuppaphol L. Optimal cut-off points of weight for height, waist circumference and waist-to-height ratio for defining overweight and obesity in Thai school-aged children. J Res High Sch. 2013;13:13–18.

    Google Scholar 

  27. Wu S, Ma S, Ma J, Ma J, Guo J, Yang Q, et al. Body composition analysis of children and adolescents in Haidian District. Chin J Sch Health. 2009;30:1014–6.

    CAS  Google Scholar 

  28. Huang X, Zhang Y, Lv J, Li Y, Chen D, Gao P, et al. Study on the relationship between body mass index and body fat percentage of school-age children and adolescents in Shunyi District, Beijing. Med Inf. 2019;32:134–6.

    Google Scholar 

  29. Zhang Q, Du W, Hu X, Liu A, Pan H, Ma G. The relationship between body mass index and percentage body fat among Chinese adolescent living in urban Beijing. Chin J Epidemiol. 2004;25:113–6.

    CAS  Google Scholar 

  30. Zhang H, Li Y, Liu C, Xu Y. Body composition analysis of preschool children aged 4 to 6 years in Jinan city. Chin J Child Health Care. 2019;27:554–7.

    Google Scholar 

  31. Zhang W, Liu W, Lin R, Wu J, Du L. Relation between percentage body fat and body mass index among primary school students aged between 6 to 11 years old living in urban Guangzhou. Chin J Child Health Care. 2008;16:271–4.

    Google Scholar 

  32. Su Y, Wang H, Li Q, Zhang X, Qiu M. Analysis of body composition of children with different genders, ages and nutritional status. Chin J Child Health Care. 2021;29:713–6.

    Google Scholar 

  33. Li B, Guo J, Wang H, Cao X, Zhang Y, Hua L. Evaluation of obesity by body mass index, waist-hip-ratio and percentage body fat in adolescent. Chongqin Med J. 2014;43:4637–42.

    Google Scholar 

  34. Li S, Zhong Y. Application of body composition analysis in screening overweight and obesity of school-age children. Chin J Child Health Care. 2022;30:540–4.

    Google Scholar 

  35. Trung N, Chu D, Hanh N. Percentage body fat is as a good indicator for determining adolescents who are overweight or obese: a cross-sectional study in Vietnam. Osong Public Health Res Perspect. 2019;10:108.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Taylor R, Jones I, Williams S, Goulding A. Body fat percentages measured by dual-energy X-ray absorptiometry corresponding to recently recommended body mass index cutoffs for overweight and obesity in children and adolescents aged 3–18 y. Am J Clin Nutr. 2002;76:1416–21.

    Article  CAS  PubMed  Google Scholar 

  37. van Gent M, Pienaar A, Noorbhai H. Comparison of body mass index and fat percentage criteria classification of 7–13 year-old rural boys in South Africa. BMC Pediatr. 2020;20:1–8.

    Google Scholar 

  38. Houda B, Sarra K, Karmous I, Henda J, Khalid E, Hassan A, et al. Relationship of body mass index to percent body fat determined by deuterium isotopic dilution and impedancemetry among Tunisian schoolchildren. Afr Health Sci. 2023;23:664–71.

    PubMed  PubMed Central  Google Scholar 

  39. Kigaru D, Ndung’u Z, Macharia-Mutie C. Application of stable isotope dilution techniques to assess body fat and comparison with WHO BMI-for-age classification as a measure of obesity among schoolchildren in Nairobi, Kenya. Public Health Nutr. 2021;24:3587–91.

    Article  PubMed  Google Scholar 

  40. Anzolin C, Silva D, Zanuto E, Cayres S, Codogno J, Junior P, et al. Accuracy of different cutoff points of body mass index to identify overweight according to body fat values estimated by DEXA. J Pediatr. 2017;93:58–63.

    Article  Google Scholar 

  41. Altman D. Practical statistics for medical research. 1st ed. New York, NY: Chapman and Hall/CRC;1990.

  42. World Health Organization. World Health Organization AnthroPlus for personal computers manual: software for assessing growth of the world’s children and adolescents. Geneva: WHO; 2009.

  43. Lin W, Ren R, Wen D. Research advances in childhood obesity intervention sites. Chin J Child Health Care. 2017;25:51–4.

    Google Scholar 

  44. Srdić B, Obradović B, Dimitrić G, Stokic E, Babovic S. Relationship between body mass index and body fat in children-age and gender differences. Obes Res Clin Pract. 2012;6:e167–e173.

    Article  Google Scholar 

  45. Tennefors C, Forsum E. Assessment of body fatness in young children using the skinfold technique and BMI vs body water dilution. Eur J Clin Nutr. 2004;58:541–7.

    Article  CAS  PubMed  Google Scholar 

  46. Morimoto A, Nishimura R, Sano H, Matsudaira T, Miyashita Y, Shirasawa T, et al. Gender differences in the relationship between percent body fat (%BF) and body mass index (BMI) in Japanese children. Diabetes Res Clin Pract. 2007;78:123–5.

    Article  PubMed  Google Scholar 

  47. Jinyuan L, Wan T, Guanqin C, Yin L, Changyong F. Correlation and agreement: overview and clarification of competing concepts and measures. Shanghai Arch Psychiatry. 2016;28:115.

    Google Scholar 

  48. Gao Y, Xie X, Cianflone K, Lapointe M, Guan J, Bu-Jiaer G, et al. Ethnic differences in acylation stimulating protein (ASP) in Xinjiang Uygur autonomous region, China. Int J Clin Exp Med. 2015;8:2823–30.

    PubMed  PubMed Central  Google Scholar 

  49. Taylor R, Williams S, Grant A, Taylor B, Goulding A, Goulding A. Predictive ability of waist-to-height in relation to adiposity in children is not improved with age and sex-specific values. Obesity. 2011;19:1062–8.

    Article  PubMed  Google Scholar 

  50. He W, Li Q, Yang M, Jiao J, Ma X, Zhou Y, et al. Lower BMI cutoffs to define overweight and obesity in China. Obesity. 2015;23:684–91.

    Article  PubMed  Google Scholar 

  51. He W, Zhang S, Song A, Yang M, Jiao J, Allison D, et al. Greater abdominal fat accumulation is associated with higher metabolic risk in Chinese than in white people: an ethnicity study. PLoS ONE. 2013;8:e58688.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Kurtoglu S, Mazicioglu M, Ozturk A, Hatipoglu N, Cicek B, Ustunbas H. Body fat reference curves for healthy Turkish children and adolescents. Eur J Pediatr. 2010;169:1329–35.

    Article  PubMed  Google Scholar 

  53. Loomba-Albrecht L, Styne D. Effect of puberty on body composition. Curr Opin Endocrinol Diabetes Obes. 2009;16:10–15.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We appreciate the Shanghai Municipal Centres for Disease Control and Prevention (SCDC) and the participating district CDCs, local communities and schools, as well as all participants in the Sixth Round of Shanghai Public Health Three Year Action Program.

Funding

This study was supported by The Sixth Round of Shanghai Public Health Three Year Action Program 2023–2025 (Grant no. GWVI-7), Ministry of Science and Technology (Grant no. G2023141005L), Ministry of Education (Grant no. 1125000172), Fundamental Research Funds for the Central Universities (Grant no. 3225002002A1), and Jiangsu Provincial Department of Science and Technology.

Author information

Authors and Affiliations

Authors

Contributions

RY and JY were responsible for designing the review plan, retrieving and screening articles, analyzing and interpreting the results, and drafting the report. CL, WQ, DY, HX, XN, and SY assisted in the analysis, result interpretation, and critical appraisal of the report. WD and FZ conceptualized the study, provided guidance throughout the study, and contributed to the critical review of the final draft.

Corresponding authors

Correspondence to Wei Du or Fengyun Zhang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, R., Yu, J., Luo, C. et al. Correlations and consistency of body composition measurement indicators and BMI: a systematic review. Int J Obes 49, 4–12 (2025). https://doi.org/10.1038/s41366-024-01638-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41366-024-01638-9

This article is cited by

Search

Quick links