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. 2021 Apr 28;58(4):392–394. doi: 10.1007/s13312-021-2203-9

Appropriateness of Lower Waist Circumference Cutoffs for Predicting Derangement in Metabolic Parameters Among Asian Children and Adolescents: A Pilot Study

Rajeev Goyal 1, Bhanu Kiran Bhakhri 2,✉, Jagdish Prasad Goyal 2, Nikhil Lohiya 3, Vaman Khadilkar 3
PMCID: PMC8079850  PMID: 33883316

Abstract

Waist circumference (WC) >90th percentile cut-off effectively screens children for metabolic syndrome, as some specific metabolic derangements (high fasting serum levels of insulin and triglycerides) may be better associated with lower (70th percentile) waist circumference cut off. We evaluated a subset of children and adolescents found obese or overweight following the anthropometric screening in a school-based survey. Metabolic parameters (fasting insulin levels, fasting blood sugar and fasting lipid profile and blood pressure) were compared among 3 groups of obese or overweight children divided on the basis of WC percentiles (>90th, 70th–90th and <70th). 78 children (aged 11–18 years, 45 boys) were evaluated. The proportion of participants with high triglycerides and fasting insulin among those with WC<70th (28.6%, 19%) was significantly lower than that in the group with WC >90th (76.9%, 53.8%) as well as in group with WC 70th–90th percentile (38.7%, 41.9%).

Keywords: Anthropometry, Blood sugar, Central obesity, Overweight, Triglycerides

Footnotes

Ethics clearance

Institute ethics committee of AIIMS, Rishikesh; No 29/IM/2013 dated September 07, 2013.

Contributors

BKB, JPG: Study concept and design; RG: acquisition of data; NL, VK: analysis and interpretation of data; JPG: obtained funding; RG, JPG: drafting of manuscript; BKB, NL: Statistical analysis; BKB, VK: Final reviewing and editing.

Funding

Intramural funding of AIIMS, Rishikesh.

Competing interests

None stated.

References

  • 1.Brown T, Smith S, Bhopal R, Kasim A, Summerbell C. Diet and physical activity interventions to prevent or treat obesity in South Asian children and adults: A systematic review and metaanalysis. Int J Environ Res Public Health. 2015;12:566–94. doi: 10.3390/ijerph120100566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Perona JS, Schmidt-RioValle J, Rueda-Medina B, Correa-Rodríguez M, González-Jiménez E. Waist circumference shows the highest predictive value for metabolic syndrome, and waist-to-hip ratio for its components in Spanish adolescents. Nutr Res. 2017;45:38–45. doi: 10.1016/j.nutres.2017.06.007. [DOI] [PubMed] [Google Scholar]
  • 3.Horlick M, Hediger ML. Measurement matters. J Pediatr. 2010;156:178–9. doi: 10.1016/j.jpeds.2009.09.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bauer KW, Marcus MD, El Ghormli L, Ogden CL, Foster GD. Cardio-metabolic risk screening among adolescents: Understanding the utility of body mass index, waist circumference and waist to height ratio. Pediatr Obes. 2015;10:329–37. doi: 10.1111/ijpo.267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Garg MK, Tandon N, Marwaha RK, Singh Y. Evaluation of surrogate markers for insulin resistance for defining metabolic syndrome in urban Indian adolescents. Indian Pediatr. 2014;51:279–84. doi: 10.1007/s13312-014-0401-4. [DOI] [PubMed] [Google Scholar]
  • 6.Raj M, Sundaram R, Paul M, Kumar K. Blood pressure distribution in Indian children. Indian Pediatr. 2010;47:477–85. doi: 10.1007/s13312-010-0089-z. [DOI] [PubMed] [Google Scholar]
  • 7.Zimmet P, Alberti KG, Kaufman F, IDF Consensus Group et al. The Metabolic Syndrome in Children and Adolescents — an IDF Consensus Report. Pediatr Diabetes. 2007;8:299–306. doi: 10.1111/j.1399-5448.2007.00271.x. [DOI] [PubMed] [Google Scholar]
  • 8.Indian Academy of Pediatrics Growth Charts Committee. Khadilkar V, Yadav S, Agrawal KK, et al. Revised IAP Growth Charts for Height, Weight and Body Mass Index for 5 to 18-Year-Old Indian Children. Indian Pediatr. 2015;52:47–55. doi: 10.1007/s13312-015-0566-5. [DOI] [PubMed] [Google Scholar]
  • 9.Lichtenauer M, Wheatley SD, Martyn-St James M, et al. Efficacy of anthropometric measures for identifying cardiovascular disease risk in adolescents: Review and meta-analysis. Minerva Pediatr. 2018;70:371–82. doi: 10.23736/S0026-4946.18.05175-7. [DOI] [PubMed] [Google Scholar]

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