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Anthropometric markers for fat obesity in Indonesian children aged 7 to 12 years in Yogyakarta Province, Indonesia

Department of Nutrition and Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Yogyakarta, Indonesia

Received: 1 Sep 2023; Revised: 5 May 2024; Accepted: 21 May 2024; Available online: 28 Jun 2024; Published: 28 Jun 2024.

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Abstract

Background: Obesity must be determined precisely and accurately in order for intervention efforts to be more effective. Anthropometric measurement is accurate, simple, inexpensive, and non-invasive to perform, making it useful as a screening tool for body fat.

Objective: The purpose of this study is to assess the performance of anthropometric indicators in assessing fat obesity in Indonesian children aged 7 to 12 years in Yogyakarta Province.

Materials and Methods: Participants included 514 Javanese children (260 boys, 254 girls) aged 7-12 years who lived in Bantul and Kulon Progo Regencies and were healthy and willing to participate. Disabled children were excluded. Data were taken in 1998 including body weight, height, wrists, abdomen, waist and hip circumference, and skinfold thickness at biceps, triceps, subscapular, and suprailiac. Body mass index (BMI), body frame, waist-hip ratio (WHR), and waist-to-height ratio (WHtR) were further calculated. Body fat was estimated from skinfold thickness. Statistical analysis using ANOVA and Receiver Operating Characteristics (ROC) tests were performed.

Results: The ANOVA test results showed that age was the main factor of significant variation (p<0.001) for all variables, while gender was significant for wrist circumference (p<0.05), body frame (p<0.05), and WHR (p<0.001). Gender and age are simultaneously significant only for height (p<0.001). ROC analysis showed that abdominal circumference in boys and waist circumference in girls had the widest area under the curve (AUC), while height had the smallest AUC in both genders. BMI had the highest AUC in boys (AUC= 0.984; p<0.001) and girls (AUC= 0.972; p<0.001).

Conclusion: Abdominal circumference in boys and waist circumference in girls performed better than other anthropometric indicators for assessing body fat obesity. While, BMI outperforms all other anthropometric indices in both genders.

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Keywords: Anthropometry; Body mass index; Waist-to-height ratio; Fat obesity; Children

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  1. World Health Organization. Obesity and overweight. Updated 1 March 2024. Available at https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Assessed 1 May 2024
  2. Braunerová RT, Kunešová M, Heinen MM, Rutter H, Hassapidou M, Duleva V, et al. Waist circumference and waist-to-height ratio in 7-year-old children-WHO childhood obesity surveillance initiative. Obes Rev 2021;22 Suppl 6:e13208. doi: 10.1111/obr.13208.Epub2021Aug17.PMID:34402567
  3. United Nations Children’s Fund - Regional Office for Latin America and the Caribbean. 2021. Report 2021: Childhood Overweight a Call for Prevention in Latin America and the Caribbean. Available at https://www.unicef.org/lac/media/29386/file/Overweight-report-2021.pdf. Assessed 1 June 2023
  4. Bell LM, Curran JA, Byrne S, Roby H, Suriano K, Timothy WJ, & Davis EA. High incidence of obesity co-morbidities in young children: A cross-sectional study. J Paediatr Child Health. 2011;47(12): 911-917. doi: 10.1111/j.1440-1754.2011.02102.x
  5. World Health Organization. 2012. Waist circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation Geneva, 8-11 December 2008. Geneva, Switzerland: WHO Press; 2011. Available at 9789241501491_eng.pdf (who.int). Assessed 1 June 2023
  6. Licenziati MR, Ballarin G, Iannuzzo G, Lonardo MS, Di Vincenzo O, Iannuzzi A, et al. A height-weight formula to measure body fat in childhood obesity. Ital J Pediatr 2022;48(1):106. doi: 10.1186/s13052-022-01285-8.PMID:35729585;PMCID:PMC9210685
  7. Ortiz-Hernández L, Vega López AV, Ramos-Ibáñez N, Cázares Lara LJ, Medina Gómez RJ, Pérez-Salgado D. Equations based on anthropometry to predict body fat measured by absorptiometry in schoolchildren and adolescents. J Pediatr (Rio J) 2017;93(4):365-373. doi: 10.1016/j.jped.2016.08
  8. Hudda MT, Fewtrell MS, Haroun D, Lum S, Williams JE, Wells JCK, et al. Development and validation of a prediction model for fat mass in children and adolescents: Meta-analysis using individual participant data. BMJ 2019;366:l4293. doi: 10.1136/bmj.l4293.PMID:31340931;PMCID:PMC6650932
  9. Aguilar-Morales I, Colin-Ramirez E, Rivera-Mancía S, Vallejo M, Vázquez-Antona C. Performance of waist-to-height ratio, waist circumference, and body mass index in discriminating cardio-metabolic risk factors in a sample of school-aged Mexican children. Nutrients 2018;10(12):1850. doi: 10.3390/nu10121850.PMID:30513720;PMCID:PMC6316407.Chenetal.,2022
  10. Chen R, Ji L, Chen Y, Meng L. Weight-to-height ratio and body roundness index are superior indicators to assess cardio-metabolic risks in Chinese children and adolescents: Compared with body mass index and a body shape index. Transl Pediatr 2022;11(3):318-329. doi: 10.21037/tp-21-479.PMID:35378962;PMCID:PMC8976678
  11. Asif M, Aslam M, Ullah K, Qasim M, Afzal K, Abbas A, et al. Diagnostic performance and appropriate cut-offs of different anthropometric indicators for detecting children with overweight and obesity. Biomed Res Int 2021;1608760. doi: 10.1155/2021/1608760.PMID:34568486;PMCID:PMC84579
  12. Marfell-Jones M., Olds T, Stewart A, Carter L. International Standards for Anthropometric Assessment. Lower Hutt, Melbourne: International Society for the Advancement of Kinanthropometry. 2006
  13. Durnin JVGA and Rahaman MM. The assessment of the amount of fat in the human body from the measurement of skinfold thickness. British J Nutr 1967;21:681-688. https://doi.org/10.1079/BJN19670070
  14. Bacopoulou F, Efthymiou V, Landis G, Rentoumis A, Chrousos GP. Waist circumference, waist-to-hip ratio and waist-to-height ratio reference percentiles for abdominal obesity among Greek adolescents. BMC Pediatr 2015;15:50. doi: 10.1186/s12887-015-0366-z.PMID:25935716;PMCID:PMC4446827
  15. Fujita Y, Kouda K, Nakamura H, Iki M. Cut-off values of body mass index, waist circumference, and waist-to-height ratio to identify excess abdominal fat: population-based screening of Japanese school children. J Epidemiol 2011;21(3):191-6. doi: 10.2188/jea.je20100116.Epub2011Mar30.PMID:21467729;PMCID:PMC3899408
  16. Pelegrini A, Silva DA, Silva JM, Grigollo L, Petroski EL. Indicadores antropométricos de obesidade na predição de gordura corporal elevada em adolescentes [Anthropometric indicators of obesity in the prediction of high body fat in adolescents]. Rev Paul Pediatr 2015;33(1):56-62. doi: 10.1016/j.rpped.2014.06.007.PMID:25649384;PMCID:PMC4436957
  17. Tong J, Li X, Liang X, Tang F, Ren Y, Hao G, et al. The relationship of remnant cholesterol and abdominal obesity in children: A cross-sectional study. Front Cardiovasc Med 2022;9:929560. doi: 10.3389/fcvm.2022.929560.PMID:35966536;PMCID:PMC9363601
  18. Seidell JC. (2010). Waist circumference and waist/hip ratio in relation to all-cause mortality, cancer and sleep apnea. Eur J Clin Nutr 2010;64:35-41
  19. Aristizabal JC, Barona J, Hoyos M, Ruiz M, Marín C. Association between anthropometric indices and cardiometabolic risk factors in pre-school children. BMC Pediatr 2015;15:170. doi: 10.1186/s12887-015-0500-y.PMID:26546280;PMCID:PMC4636828
  20. Dou Y, Jiang Y, Yan Y, Chen H, Zhang Y, Chen X, et al. Waist-to-height ratio as a screening tool for cardiometabolic risk in children and adolescents: A nationwide cross-sectional study in China. BMJ Open. 2020;10(6):e037040. doi: 10.1136/bmjopen-2020-037040.PMID:32565476;PMCID:PMC7311015
  21. Jiang Y, Dou Y, Chen H, Zhang Y, Chen X, Wang Y, et al. Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: A meta-analysis. Diabetol Metab Syndr 2021;13(1):66. doi: 10.1186/s13098-021-00688-7.PMID:34127061;PMCID:PMC8201900
  22. Lee CMY, Huxley RR, Wildman RP, and Woodward M. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: A meta-analysis. J Clin Epidemiol 2008;61(7):646-653. doi: http://dx.doi.org/10.1016/j.jclinepi.2007.08.012
  23. Krebs NF, Himes JH, Jacobson D, Nicklas TA, Guilday P, et al. Assessment of child and adolescent overweight and obesity. Pediatrics 2007;120(Supplement 4):S193-S228. doi: 10.1542/peds.2007-2329D
  24. Darsini D, Hamidah H, Notobroto HB, Cahyono EA. Health risks associated with high waist circumference: A systematic review. J Public Health Res 2020;9(2):1811. doi: 10.4081/jphr.2020.1811.PMID:32728557;PMCID:PMC7376462

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