Literature DB >> 19800165

Abdominal fat in children measured by ultrasound and computed tomography.

D O Mook-Kanamori1, S Holzhauer, L M Hollestein, B Durmus, R Manniesing, M Koek, G Boehm, E M van der Beek, A Hofman, J C M Witteman, M H Lequin, V W V Jaddoe.   

Abstract

The prevalence of childhood obesity is increasing rapidly. Visceral fat plays an important role in the pathogenesis of metabolic and cardiovascular diseases. Currently, computed tomography (CT) is broadly seen as the most accurate method of determining the amount of visceral fat. The main objective was to examine whether measures of abdominal visceral fat can be determined by ultrasound in children and whether CT can be replaced by ultrasound for this purpose. To assess whether preperitoneal fat thickness and area are good approximations of visceral fat at the umbilical level, we first retrospectively examined 47 CT scans of nonobese children (body mass index <30kg/m(2); median age 7.9 y [95% range 1.2 to 16.2]). Correlation coefficients between visceral and preperitoneal fat thickness and area were 0.58 (p<0.001) and 0.76 (p<0.001), respectively. Then, to assess how preperitoneal and subcutaneous fat thicknesses and areas measured by ultrasound compare with these parameters in CT, we examined 34 nonobese children (median age 9.5 [95% range 0.3 to 17.0]) by ultrasound and CT. Ultrasound measurements of preperitoneal and subcutaneous fat were correlated with CT measurements, with correlation coefficients ranging from 0.75-0.97 (all p<0.001). Systematic differences of up to 24.0cm(2) for preperitoneal fat area (95% confidence interval -29.9 to 77.9cm(2)) were observed when analyzing the results described by the Bland-Altman method. Our findings suggest that preperitoneal fat can be used as an approximation for visceral fat in children and that measuring abdominal fat with ultrasound in children is a valid method for epidemiological and clinical studies. However, the exact agreement between the ultrasound and CT scan was limited, which indicates that ultrasound should be used carefully for obtaining exact fat distribution measurements in individual children.

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Year:  2009        PMID: 19800165     DOI: 10.1016/j.ultrasmedbio.2009.07.002

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  25 in total

1.  Parental smoking during pregnancy and total and abdominal fat distribution in school-age children: the Generation R Study.

Authors:  B Durmuş; D H M Heppe; H R Taal; R Manniesing; H Raat; A Hofman; E A P Steegers; R Gaillard; V W V Jaddoe
Journal:  Int J Obes (Lond)       Date:  2014-01-22       Impact factor: 5.095

2.  Cross-sectional population associations between detailed adiposity measures and C-reactive protein levels at age 6 years: the Generation R Study.

Authors:  L Toemen; O Gishti; S Vogelezang; R Gaillard; A Hofman; O H Franco; J F Felix; V W V Jaddoe
Journal:  Int J Obes (Lond)       Date:  2015-04-29       Impact factor: 5.095

Review 3.  Methodologies to assess paediatric adiposity.

Authors:  M Horan; E Gibney; E Molloy; F McAuliffe
Journal:  Ir J Med Sci       Date:  2014-05-04       Impact factor: 1.568

4.  Tracking of abdominal subcutaneous and preperitoneal fat mass during childhood. The Generation R Study.

Authors:  S Vogelezang; O Gishti; J F Felix; E M van der Beek; M Abrahamse-Berkeveld; A Hofman; R Gaillard; V W V Jaddoe
Journal:  Int J Obes (Lond)       Date:  2015-12-21       Impact factor: 5.095

5.  Sonographic assessment of abdominal fat distribution during the first year of infancy.

Authors:  Christina Brei; Daniela Much; Ellen Heimberg; Verena Schulte; Stefanie Brunner; Lynne Stecher; Christiane Vollhardt; Jan S Bauer; Ulrike Amann-Gassner; Hans Hauner
Journal:  Pediatr Res       Date:  2015-06-08       Impact factor: 3.756

6.  Adult adiposity susceptibility loci, early growth and general and abdominal fatness in childhood: the Generation R Study.

Authors:  S Vogelezang; C Monnereau; R Gaillard; C M Renders; A Hofman; V W V Jaddoe; J F Felix
Journal:  Int J Obes (Lond)       Date:  2015-02-02       Impact factor: 5.095

7.  Maternal plasma PUFA concentrations during pregnancy and childhood adiposity: the Generation R Study.

Authors:  Aleksandra Jelena Vidakovic; Olta Gishti; Trudy Voortman; Janine F Felix; Michelle A Williams; Albert Hofman; Hans Demmelmair; Berthold Koletzko; Henning Tiemeier; Vincent W V Jaddoe; Romy Gaillard
Journal:  Am J Clin Nutr       Date:  2016-02-24       Impact factor: 7.045

8.  Influence of fetal blood flow redistribution on fetal and childhood growth and fat distribution: the Generation R Study.

Authors:  M N Kooijman; R Gaillard; Ikm Reiss; A Hofman; Eap Steegers; Vwv Jaddoe
Journal:  BJOG       Date:  2016-03-03       Impact factor: 6.531

9.  Infant weight growth velocity patterns and general and abdominal adiposity in school-age children. The Generation R Study.

Authors:  C J Kruithof; O Gishti; A Hofman; R Gaillard; V W V Jaddoe
Journal:  Eur J Clin Nutr       Date:  2016-04-13       Impact factor: 4.016

10.  Maternal caffeine intake during pregnancy, early growth, and body fat distribution at school age.

Authors:  Ellis Voerman; Vincent W V Jaddoe; Olta Gishti; Albert Hofman; Oscar H Franco; Romy Gaillard
Journal:  Obesity (Silver Spring)       Date:  2016-03-26       Impact factor: 5.002

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