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2018 | 3 | 250-254

Article title

Assessment of anthropometric measurements in diagnosis and monitoring of excessive body weight in children

Content

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Abstracts

References

  • Abarca-Gómez L, Abdeen ZA , Hamid ZA , et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390(10113): 2627–2642.
  • Mazur J. Zdrowie i zachowania zdrowotne młodzieży szkolnej w Polsce na tle wybranych uwarunkowań socjodemograficznych. Raport z badań HBSC 2014. Warszawa: Instytut Matki i Dziecka; 2015 (in Polish).
  • Litwin SE . Childhood obesity and adulthood cardiovascular disease: quantifying the lifetime cumulative burden of cardiovascular risk factors. JACC 2014; 64(15): 1588–1590.
  • Bauer CCC , Moreno B, González‐S antos L, et al. Child overweight and obesity are associated with reduced executive cognitive performance and brain alterations: a magnetic resonance imaging study in Mexican children. Pediatr Obes 2015; 10(3): 196–204.
  • Miller EO , Stanistreet B, Ruckdeschel E, et al. Factors Associated with the accurate diagnosis of obesity. J Community Health 2016;41(6): 1257–1263.
  • Patel AI , Madsen KA, Maselli JH, et al. Underdiagnosis of pediatric obesity during outpatient preventive care visits. Acad Pediatr 2010;10(6): 405–409.
  • Kelishadi R, Mirmoghtadaee P, Najafi H, et al. Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors. J Res Med Sci 2015; 20(3): 294–307.
  • Suder A, Janusz M, Jagielski P, et al. Prevalence and risk factors of abdominal obesity in Polish rural children. HOMO 2015; 66(4):357–368.
  • Freedman DS, Katzmarzyk PT, Dietz WH , et al. Relation of body mass index and skinfold thicknesses to cardiovascular disease risk factors in children: the Bogalusa Heart Study. Am J Clin Nutr 2009; 90(1): 210–210. Moreno LA, Pineda I, Rodriguez G, et al. Waist circumfe Paediatr 2002; 91(12): 1307–1312.
  • Pietrobelli A, Andreoli A, Cervelli V, et al. Predicting fat-free mass in children using bioimpedance analysis. Acta Diabetol 2003; 40(1):212–215.
  • Faria ER , Faria ER , Cecon RS , et al. Body fat equations and electrical bioimpedance values in prediction of cardiovascular risk factors in eutrophic and overweight adolescents. Int J Endocrinol 2013; 1–10, doi: http://dx.doi.org/10.1155/2013/501638.
  • Jiménez EG. Body composition: assessment and clinical value. Endocrinol Nutr 2013; 60(2): 69–75.
  • Sarría A, García LA, Moreno LA, et al. Skinfold thickness measurements are better predictors of body fat percentage then body mass index in male Spanish children and adolescents. Eur J Clin Nutr 1998; 52(1): 573–576.
  • Freedman DS, Sherry B. The validity of BMI as an indicator of body fatness and risk among children. Pediatrics 2009; 124(1): 23–34.
  • Witkowska M, Lesiów T. Występowanie nadwagi i otyłości wśród dzieci w wieku od 10 do 13 lat w mieście i gminie Ostrzeszów. Nauki Inżynierskie i Technologie 2014; 3(14): 51–73 (in Polish).
  • Weber DR, Leonard MB, Shults J, et al. A comparison of Fat and Lean Body Mass Index to BMI for the identification of metabolic syndrome in children and adolescents. J Clin Endocrinol Metab 2014; 99(9): 3208–3216.
  • Schröder H, Ribas L, Koebnick C, et al. Prevalence of abdominal obesity in Spanish children and adolescents. Do we need waist circumference measurements in pediatric practice? PLoS One 2014; 9(1): e87549.
  • Mazıcıoğlu MM, Hatipoğlu N, Öztürk A, et al. Waist circumference and mid−upper arm circumference in evaluation of obesity in children aged between 6 and 17 years. J Clin Res Pediatr Endocrinol 2010; 2(4): 144–150.
  • Nagy P, Kovacs E, Moreno LA, et al. Percentile reference values for anthropometric body composition indices in European children from the IDEFICS study. Int J Obes (Lond) 2014; 38(1): 15–25.
  • Jakubowska-Pietkiewicz E, Prochowska A, Fendler W, et al. Porównanie metod pomiaru odsetka tkanki tłuszczowej u dzieci. Pediatr Endocrinol Diabetes Metab 2009; 15(1): 246–250 (in Polish).
  • Rush EC , Bristow S, Plank LD, et al. Bioimpedance prediction of fat-free mass from dual-energy X-ray absorptiometry in a multi-ethnic group of 2-year-old children. Eur J Clin Nutr 2013; 67(2): 214–217.
  • Lukaski HC . Methods for the assessment of human body composition: traditional and new. Am J Clin Nutr 1987; 46(4): 537–556.
  • Lizak D, Budzowski A, Seń M, et al. Anthropometric measures of body composition used in obesity diagnosis – an overview. Hygeia Public Health 2016; 51(2): 124–133.
  • Johnson TW , Spurlock AY , Parrot JS, et al. A comparison of field methods to assess body fat of minority elementary school children. Int J Body Compos Res 2011; 9(4): 141–146.
  • Rodea-Montero ER , Evia-Viscarra ML, Apolinar-Jiménez E. Waist-to-Height Ratio is a better anthropometric index than waist circumference and BMI in predicting metabolic syndrome among obese Mexican adolescents. Int J Endocrinol 2014; 195407, do 10.1155/2014/195407.
  • Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond) 2011; 35(7): 891–898.
  • Zhang YX, Wang SR . Distribution of subcutaneous fat and the relationship with blood pressure in obese children and adolescents in Shandong, China. Paediatr Perinat Epidemiol 2015; 29(2): 156–161.
  • Car Staiano AE , Gupta AK, Katzmarzyk, PT. Cardiometabolic risk factors and fat distribution in children and adolescents. J Pediatr 2014;164(3): 560–565.16.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-c9b2583e-e750-4baf-bc11-9f0d1e7f2bed
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