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.

  • Original Article
  • Published:

Evaluation of BMI-based classification of adolescent overweight and obesity: choice of percentage body fat cutoffs exerts a large influence. The COMPASS study

Abstract

Objective:

To determine the impact of commonly used body fat percentage (%BF) references when evaluating the sensitivity, specificity and misclassifications of body mass index (BMI) for obesity screening in adolescence.

Subjects/Methods:

A community-based sample of 3334 adolescents aged 15.2±0.6 years was studied. Weight, height and %BF were measured. Sensitivity, specificity, predictive values and type and extent of misclassifications were calculated. True-positive subjects for overweight and obesity were defined by recently published paediatric %BF cutoffs, 85th and 95th percentiles from the present study population, and an older %BF reference.

Results:

Regardless of %BF reference used, specificities were high (>0.98 for obesity and >0.90 for overweight) in both sexes, with values for overweight consistently higher for girls (P<0.05). Sensitivities were much lower, with boys ranging from 0.52 to 0.74 for overweight, and 0.24 to 0.43 for obesity. Corresponding sensitivities for girls were 0.42–0.66 and 0.22–0.46. Large discrepancies were seen in total number of misclassifications, with published references resulting in twice as many misclassified for overweight (620, 514 vs 362) when compared to the cutoffs from the study population. For obesity, the difference was even greater (367 vs 133).

Conclusions:

No matter which %BF reference used, specificity of BMI was high, and sensitivity low for both sexes. Population percentiles resulted in somewhat lower specificity but much higher sensitivity, and many more correctly classified compared to when cutoffs from the literature were used. The choice of %BF reference in evaluations of BMI-based classification systems has a large impact on the outcome. Sensitivity analyses are therefore warranted.

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

Figure 1
Figure 2

Similar content being viewed by others

References

  • Cole TJ, Bellizzi MC, Flegal KM, Dietz WH (2000). Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320, 1240–1243.

    Article  CAS  Google Scholar 

  • Eriksson M, Rasmussen F, Nordqvist T (2005). Changes in shape and location of BMI distributions of Swedish children. Acta Paediatr 94, 1558–1565.

    Article  Google Scholar 

  • Fu WP, Lee HC, Ng CJ, Tay YK, Kau CY, Seow CJ et al. (2003). Screening for childhood obesity: international vs population-specific definitions. Which is more appropriate? Int J Obes Relat Metab Disord 27, 1121–1126.

    Article  CAS  Google Scholar 

  • Goran MI (1998). Measurement issues related to studies of childhood obesity: assessment of body composition, body fat distribution, physical activity, and food intake. Pediatrics 101 (3 Part 2), 505–518.

    CAS  PubMed  Google Scholar 

  • Guillaume M (1999). Defining obesity in childhood: current practice. Am J Clin Nutr 70, 126S–130S.

    Article  CAS  Google Scholar 

  • Houtkooper LB, Going SB, Lohman TG, Roche AF, Van Loan M (1992). Bioelectrical impedance estimation of fat-free body mass in children and youth: a cross-validation study. J Appl Physiol 72, 366–373.

    Article  CAS  Google Scholar 

  • Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R et al. (2000). CDC growth charts: United States. Adv Data 314, 1–27.

    Google Scholar 

  • Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gomez JM et al. (2004). Bioelectrical impedance analysis—part I: review of principles and methods. Clin Nutr 23, 1226–1243.

    Article  Google Scholar 

  • Lazarus R, Baur L, Webb K, Blyth F (1996). Body mass index in screening for adiposity in children and adolescents: systematic evaluation using receiver operating characteristic curves. Am J Clin Nutr 63, 500–506.

    Article  CAS  Google Scholar 

  • McCarthy HD, Cole TJ, Fry T, Jebb SA, Prentice AM (2006). Body fat reference curves for children. Int J Obes (Lond) 30, 598–602.

    Article  CAS  Google Scholar 

  • Neovius M, Linne Y, Rossner S (2005). BMI, waist-circumference and waist-hip-ratio as diagnostic tests for fatness in adolescents. Int J Obes Relat Metab Disord 29, 163–169.

    Article  CAS  Google Scholar 

  • Neovius MG, Linne YM, Barkeling B, Rossner S (2004). Sensitivity and specificity of classification systems for fatness in adolescents. Am J Clin Nutr 80, 597–603.

    Article  CAS  Google Scholar 

  • Rasmussen F, Eriksson M, Bokedal C, Schäfer-Elinder L (2004). Physical activity, eating habits, overweight and self-esteem among youth. COMPASS—a study in south-west Greater Stockholm. Center of Public Health, Stockholm County Council and National Institute of Public Health. Report 2004:1 (In Swedish).

  • Rasmussen F, Eriksson M, Nordqvist T (2007). Bias in height and weight reported by Swedish adolescents and relations to body dissatisfaction: the COMPASS study. Eur J Clin Nutr 61, 870–876.

    Article  CAS  Google Scholar 

  • Reilly JJ, Dorosty AR, Emmett PM (2000). Identification of the obese child: adequacy of the body mass index for clinical practice and epidemiology. Int J Obes Relat Metab Disord 24, 1623–1627.

    Article  CAS  Google Scholar 

  • Reilly JJ, Wilson J, Durnin JV (1995). Determination of body composition from skinfold thickness: a validation study. Arch Dis Child 73, 305–310.

    Article  CAS  Google Scholar 

  • Sardinha LB, Going SB, Teixeira PJ, Lohman TG (1999). Receiver operating characteristic analysis of body mass index, triceps skinfold thickness, and arm girth for obesity screening in children and adolescents. Am J Clin Nutr 70, 1090–1095.

    Article  CAS  Google Scholar 

  • Williams DP, Going SB, Lohman TG, Harsha DW, Srinivasan SR, Webber LS et al. (1992). Body fatness and risk for elevated blood pressure, total cholesterol, and serum lipoprotein ratios in children and adolescents. Am J Public Health 82, 358–363.

    Article  CAS  Google Scholar 

  • Zimmermann MB, Gubeli C, Puntener C, Molinari L (2004). Detection of overweight and obesity in a national sample of 6–12-y-old Swiss children: accuracy and validity of reference values for body mass index from the US Centers for Disease Control and Prevention and the International Obesity Task Force. Am J Clin Nutr 79, 838–843.

    Article  CAS  Google Scholar 

  • Zweig MH, Campbell G (1993). Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 39, 561–577.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

MN was funded by Arbetsmarknadens Forsakrings-och Aktiebolag (AFA).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F Rasmussen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Neovius, M., Rasmussen, F. Evaluation of BMI-based classification of adolescent overweight and obesity: choice of percentage body fat cutoffs exerts a large influence. The COMPASS study. Eur J Clin Nutr 62, 1201–1207 (2008). https://doi.org/10.1038/sj.ejcn.1602846

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.ejcn.1602846

Keywords

This article is cited by

Search

Quick links