Literature DB >> 8955469

Waist percentiles: a simple test for atherogenic disease?

R Zannolli1, G Morgese.   

Abstract

OBJECTIVE: To give standards for quantification of the magnitude of waist circumference in children.
METHODS: We calculated the percentiles of waist circumference by age and sex from a sample of 2858 subjects (1440 males and 1418 females, aged 6-14 years). Data were from a population survey of 15,000 school-children in Pescara, a town in Abruzzo, a region of Central Italy.
RESULTS: We reported the values of the calculated percentiles by age and sex and gave the smoothed percentile curves.
CONCLUSIONS: Some recent studies in adults have indicated that measuring waist circumference seems to be the simplest way to estimate obesity and the risk of cardiovascular disease. In children, similar evidence is emerging. To date, no example of calculating standards has been published for quantitating the magnitude of waist circumference in children; therefore, our example of standard waist measurements could be used as a practical model for selecting subjects with a value of < or = or > 2 SD from the mean. The metabolic status should then be checked by complementary laboratory examination.

Entities:  

Mesh:

Year:  1996        PMID: 8955469     DOI: 10.1111/j.1651-2227.1996.tb13928.x

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  17 in total

1.  Independent effects of age-related changes in waist circumference and BMI z scores in predicting cardiovascular disease risk factors in a prospective cohort of adolescent females.

Authors:  David J Tybor; Alice H Lichtenstein; Gerard E Dallal; Stephen R Daniels; Aviva Must
Journal:  Am J Clin Nutr       Date:  2010-12-08       Impact factor: 7.045

2.  Measurement matters.

Authors:  Mary Horlick; Mary L Hediger
Journal:  J Pediatr       Date:  2010-02       Impact factor: 4.406

3.  Weight loss in obese children carrying the proopiomelanocortin R236G variant.

Authors:  N Santoro; L Perrone; G Cirillo; P Raimondo; A Amato; F Coppola; M Santarpia; A D'Aniello; E Miraglia Del Giudice
Journal:  J Endocrinol Invest       Date:  2006-03       Impact factor: 4.256

4.  Waist circumference percentiles for Portuguese children and adolescents aged 10 to 18 years.

Authors:  Luís B Sardinha; Rute Santos; Susana Vale; Manuel J Coelho e Silva; Armando M Raimundo; Helena Moreira; Fátima Baptista; Jorge Mota
Journal:  Eur J Pediatr       Date:  2011-10-07       Impact factor: 3.183

5.  Utility of waist circumference percentile for risk evaluation in obese children.

Authors:  Reda Bassali; Jennifer L Waller; Barbara Gower; Jerry Allison; Catherine L Davis
Journal:  Int J Pediatr Obes       Date:  2010

6.  Thyroid function derangement and childhood obesity: an Italian experience.

Authors:  Anna Grandone; Nicola Santoro; Filomena Coppola; Paolo Calabrò; Laura Perrone; Emanuele Miraglia Del Giudice
Journal:  BMC Endocr Disord       Date:  2010-05-04       Impact factor: 2.763

7.  Waist circumference percentiles for 7- to 17-year-old Turkish children and adolescents.

Authors:  Nihal Hatipoglu; Ahmet Ozturk; Mumtaz M Mazicioglu; Selim Kurtoglu; Selda Seyhan; Fikret Lokoglu
Journal:  Eur J Pediatr       Date:  2007-05-09       Impact factor: 3.183

8.  First reference curves of waist circumference for German children in comparison to international values: the PEP Family Heart Study.

Authors:  Peter Schwandt; Roya Kelishadi; Gerda-Maria Haas
Journal:  World J Pediatr       Date:  2008-12-23       Impact factor: 2.764

9.  High-normal fasting glucose levels are associated with increased prevalence of impaired glucose tolerance in obese children.

Authors:  A Grandone; A Amato; C Luongo; N Santoro; L Perrone; E Miraglia del Giudice
Journal:  J Endocrinol Invest       Date:  2008-12       Impact factor: 4.256

10.  Racial differences in central adiposity in a longitudinal cohort of black and white adolescent females.

Authors:  David J Tybor; Alice H Lichtenstein; Gerard E Dallal; Stephen R Daniels; Aviva Must
Journal:  BMC Pediatr       Date:  2010-01-21       Impact factor: 2.125

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