Determination of Body Fat Ratio Standards in Children at Early School Age Using Bioelectric Impedance

. 2020 Nov 25 ; 56 (12) : . [epub] 20201125

Jazyk angličtina Země Švýcarsko Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid33255595

Background and objectives: Body mass index (BMI) is commonly used to assess the proportionality of body mass; however, there are currently no standards for assessing the weight status of the child population for the needs of epidemiological studies. This study aims to establish bioelectric impedance analysis (BIA) standards for assessing the body weight of children (body fat, visceral fat) using BMI percentile growth charts. Materials and Methods: The study was implemented in a group of 1674 children (816 boys and 858 girls), ages 6 to 11. To classify the subjects at a percentile level, the percentile growth charts from the 6th national anthropological study in the Czech Republic were used. Body composition parameters were ascertained by BIA. Results: Body fat (%) and visceral fat standard values were determined for all age categories. The standards were in three-stages, enabling the determination of underweight, normal weight and overweight children aged 6-11 years. For boys with proportionate body mass, standard body fat values ranging from 14.3-16.0% to 15.5-18.0% were determined, while for girls' values ranging from 16.7-19.4% to 18.3-20.5% were determined, depending on age. As far as visceral fat is concerned, standard values in boys ranging from 30.3-36.9 cm2 to 36.1-44.9 cm2 and in girls 30.3-36.9 cm2 to 36.1-44.9 cm2 were determined, depending on age. Conclusions: Standards for assessing weight status are applicable to children aged 6-11 years, while it can be confirmed that BMI can be considered as an objective tool in assessing body mass and body composition in children.

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Ng M., Fleming T., Robinson M., Thomson B., Graetz N., Margono C. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–781. doi: 10.1016/S0140-6736(14)60460-8. PubMed DOI PMC

Pandita A., Sharma D., Pandita D., Pawar S., Tariq M., Kaul A. Childhood obesity: Prevention is better than cure. Diabetes Metab. Syndr. Obes. 2016;9:83–89. doi: 10.2147/DMSO.S90783. PubMed DOI PMC

Kopecký M. Prevalence of overweight and obesity in children between the ages of 6 and 7 and the attitude of parents towards primary prevention in the Olomouc region. Hygiena. 2016;61:4–10. doi: 10.21101/hygiena.a1394. DOI

Tsigos C., Hainer V., Basdevant A., Finer N., Fried M., Mathus-Vliegen E., Micic D., Maislos M., Roman G., Schutz Y., et al. Management of obesity in adults: European clinical practice guidelines. Obes. Facts. 2008;1:106–116. doi: 10.1159/000126822. PubMed DOI PMC

Bunc V. Obesity—Causes and remedies. Phys. Act. Rev. 2016;4:50–56. doi: 10.16926/par.2016.04.06. DOI

Cole T.J., Faith M.S., Pietrobelli A., Heo M. What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score or BMI centile? Eur. J. Clin. Nutr. 2005;59:419–425. doi: 10.1038/sj.ejcn.1602090. PubMed DOI

Inokuchi M., Matsuo N., Takayama J.I., Hasegawa T. BMI z-score is the optimal measure of annual adiposity change in elementary school children. Ann. Hum. Biol. 2011;38:747–751. doi: 10.3109/03014460.2011.620625. PubMed DOI

Verjans-Janssen S.R.B., van de Kolk I., Van Kann D.H.H., Kremers S.P.J., Gerards S.M.P.L. Effectiveness of school-based physical activity and nutrition interventions with direct parental involvement on childrens BMI and energy balance-related behaviors—A systematic review. PLoS ONE. 2018;13:1–24. doi: 10.1371/journal.pone.0204560. PubMed DOI PMC

Heyward V.H., Wagner D.R. Applied Body Composition Assessment. 2nd ed. Human Kinetics; Champaign, IL, USA: 2004. pp. 67–85.

Block G., Dresser C.M., Hartman A.M., Carroll M.D. Nutrient sources in the American diet: Quantitative data from the NHANES II survey. I. Vitamins and minerals. Am. J. Epidemiol. 1985;122:13–26. doi: 10.1093/oxfordjournals.aje.a114072. PubMed DOI

Tremmel M., Gerdtham U.-G., Nilsson P.M., Saha S. Economic Burden of Obesity: A Systematic Literature Review. Int. J. Environ. Res. Public Health. 2017;14:435. doi: 10.3390/ijerph14040435. PubMed DOI PMC

WHO Obesity . Preventing and Managing the Global Epidemic. Report of a WHO Consultation (WHO Technical Report Series 894) WHO; Geneva, Switzerland: 2004. [(accessed on 7 February 2020)]. Available online: http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/ PubMed

WHO Child Growth Standards . BMI-for-Age. WHO; Geneva, Switzerland: 2019. [(accessed on 7 February 2020)]. Available online: http://www.who.int/childgrowth/standards/bmi_for_age/en/

Vignerová J., Riedlová P., Bláha P., Kobzová J., Krejčovský L., Brabec M., Hrušková M. Growth Charts. 6th Nation-Wide Anthropological Survey of Children and Adolescents 2001 Czech Republic. 1st ed. PřF UK a SZÚ; Prague, Czech Republic: 2006. [(accessed on 7 February 2020)]. pp. 97–137. Available online: http://www.szu.cz/publikace/data/kniha-6-cav-2001-ke-stazeni.

Baumgartner R.N. Body composition in healthy aging. Ann. N. Y. Acad Sci. 2000;904:437–448. doi: 10.1111/j.1749-6632.2000.tb06498.x. PubMed DOI

Gába A., Přidalová M. Age-related changes in body composition in a sample of Czech women aged 18–89 years: A cross-sectional study. Eur. J. Nutr. 2014;53:167–176. doi: 10.1007/s00394-013-0514-x. PubMed DOI PMC

Williams D.P., Going S.B., Lohman T.G., Harsha D.W., Srinivasan S.R., Webber L.S., Berenson G.S. Body fatness and risk for elevated blood pressure, total cholesterol, and serum lipoprotein ratios in children and adolescents. Am. J. Public Health. 1992;82:358–363. doi: 10.2105/AJPH.82.3.358. PubMed DOI PMC

Laurson K.R., Eisenmann J.C., Welk G.J. Development of youth percent body fat standards using receiver operating characteristic curves. Am. J. Prev. Med. 2011;41:93–99. doi: 10.1016/j.amepre.2011.07.003. PubMed DOI

Beaufrère B., Morio B. Fat and protein redistribution with aging: Metabolic considerations. Eur. J. Clin. Nutr. 2000;54:48–53. doi: 10.1038/sj.ejcn.1601025. PubMed DOI

Haberka M., Stolarz-Skrzypek K., Biedroń M., Szóstak-Janiak K., Partyka M., Olszanecka-Glinianowicz M., Gasior Z. Obesity, Visceral Fat, and Hypertension-Related Complications. Metab. Syndr. Relat. Disord. 2018;16:521–529. doi: 10.1089/met.2018.0062. PubMed DOI

Van Gaal L.F., Mertens I.L., De Block C.E. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444:875–880. doi: 10.1038/nature05487. PubMed DOI

Bunc V. A movement intervention as a tool of the influence of physical fitness and health. Trends Sport Sci. 2018;4:209–216.

Bunc V. Walking like a tool of physical fitness and body composition influence. Antropomotoryka. 2012;22:63–72.

Bunc V., Skalská M. Using walking as a tool for fitness and its influence on obesity and overweight individuals. Jacobs J. Obes. 2015;1:1–10.

Lazaar N., Aucouturier J., Ratel S., Rance M., Meyer M., Duché P. Effect of physical activity intervention on body composition in young children: Influence of body mass index status and gender. Acta Paediatr. 2007;96:1315–1320. doi: 10.1111/j.1651-2227.2007.00426.x. PubMed DOI PMC

Roriz D.E., Oliveira M.S., Teixeira Seabra A.F., Ribeiro Maia J.A. Effects of a recreational physical activity summer camp on body composition, metabolic syndrome and physical fitness in obese children. J. Sports Med. Phys. Fit. 2016;56:933–938. PubMed

Eisenmann J.C., Heelan K.A., Welk J.G. Assessing body composition among 3- to 8-year-old children: Anthropometry, BIA, and DXA. Obes. Res. 2004;12:1633–1640. doi: 10.1038/oby.2004.203. PubMed DOI

Sergi G., De Rui M., Stubbs B., Veronese N., Manzato E. Measurement of lean body mass using bioelectrical impedance analysis: A consideration of the pros and cons. Aging Clin. Exp. Res. 2017;29:591–597. doi: 10.1007/s40520-016-0622-6. PubMed DOI

Kutáč P., Kopecký M. Comparison of body fat using various bioelectrical impedance analyzers in university students. Acta Gymnica. 2015;45:177–186. doi: 10.5507/ag.2015.021. DOI

Ceccarelli G., Bellato M., Zago M., Cusella G., Sforza C., Lovecchio N. BMI and inverted BMI as predictors of fat mass in young people: A comparison across the ages. Ann. Hum. Biol. 2020;47:237–243. doi: 10.1080/03014460.2020.1738551. PubMed DOI

Laurson K.R., Eisenmann J.C., Welk G.J. Body Mass Index Standards Based on Agreement with Health-Related Body Fat. Am. J. Prev. Med. 2011;41:100–105. doi: 10.1016/j.amepre.2011.07.004. PubMed DOI

Czech Statistical Office . Statistics. 2018. ČSÚ; Praha, Czech Republic: 2018. [(accessed on 20 February 2020)]. Available online: https://vdb.czso.cz/vdbvo2/faces/index.jsf?page=vystup-objekt&pvo=DEM01&z=T&f=TABULKA&skupId=606&katalog=30845&pvo=DEM01&str=v33&evo=v866_!_VUZEMI97-100_1&c=v3~2__RP2019MP12DP31.

Mirwald R.L., Baxter-Jones A.D., Bailey D.A., Beunen G.P. An assessment of maturity from anthropometric measurements. Med. Sci. Sports Exerc. 2002;34:689–694. PubMed

Müller L., Müller E., Hildebrandt C., Kapelari K., Raschner C. The assessment of biological maturation for talent selection—Which method can be used? Sportverletz Sportschaden. 2015;29:56–63. PubMed

Vignerová J., Lhotská L., Bláha P., Roth Z. Growth of the Czech child population 0–18 years compared to the World Health Organization growth reference. Am. J. Hum. Biol. 1997;9:459–468. doi: 10.1002/(SICI)1520-6300(1997)9:4<459::AID-AJHB5>3.0.CO;2-R. PubMed DOI

Mialich M.S., Sicchieri J.M.F., Junior A.A.J. Analysis of Body Composition: A Critical Review of the Use of Bioelectrical Impedance. Anal. Int. J. Clin. Nutr. 2014;2:1–10.

Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Lawrence Erlbaum Associates; Mahwah, NJ, USA: 1988. pp. 273–288.

Dong Y., Jan C., Ma Y., Dong B., Zou Z., Yang Y., Xu R., Song Y., Ma J., Sawyer S.M., et al. Economic development and the nutritional status of Chinese school-aged children and adolescents from 1995 to 2014: An analysis of five successive national surveys. Lancet Diabetes Endocrinol. 2019;7:288–299. doi: 10.1016/S2213-8587(19)30075-0. PubMed DOI

Kutáč P., Jurková S., Farana R. Morphological characteristics of young female artistic gymnasts from the Czech Republic. Sci. Gym. J. 2019;11:57–66.

Skår A., Meza T.J., Fredriksen P.M. Development of weight and height in Norwegian children: The Health Oriented Pedagogical Project (HOPP) Scand. J. Public Health. 2018;46:3–11. doi: 10.1177/1403494818769852. PubMed DOI

Malina R.M., Bouchard C., Bar-Or O. Growth, Maturation, and Physical Activity. 2nd ed. Human Kinetics; Champaign, IL, USA: 2004. pp. 41–81.

Wijnhoven T.M.A., van Raaij J.M.A., Spinelli A., Rito A.I., Hovengen R., Kunesova R., Starc G., Rutter H., Sjöberg A., Petrauskiene A., et al. WHO European childhood obesity surveillance initiative 2008: Weight, height and body mass index in 6–9-year-old children. Pediatr. Obes. 2012;8:79–97. doi: 10.1111/j.2047-6310.2012.00090.x. PubMed DOI

WHO . Prevalence of Overweight and Obesity in Children and Adolescents. WHO; Geneva, Switzerland: 2009. [(accessed on 25 February 2020)]. Available online: http://www.euro.who.int/__data/assets/pdf_file/0005/96980/2.3.-Prevalence-of-overweight-and-obesity-EDITED_layouted_V3.pdf?ua=1.

Dabas A., Seth A. Prevention and Management of Childhood Obesity. Indian J. Pediatr. 2018;85:546–553. doi: 10.1007/s12098-018-2636-x. PubMed DOI

Morimoto A., Nishimura R., Sano H., Matsudaira T., Miyashita Y., Shirasawa T., Koide S., Takahashi E., Tajima N. Gender differences in the relationship between percent body fat(%BF) and body mass index (BMI) in Japanese children. Diabetes Res. Clin. Pract. 2007;78:123–125. doi: 10.1016/j.diabres.2007.02.022. PubMed DOI

Hunt L.P., Ford A., Sabin M.A., Crowne E.C., Shield J.P. Clinical measures of adiposity and percentage fat loss: Which measure most accurately reflects fat loss and what should we aim for? Arch. Dis. Child. 2007;92:399–403. doi: 10.1136/adc.2006.103986. PubMed DOI PMC

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