Laser beam measurement of abdominal sagittal diameter in obese children: a validation study
- PMID: 23002010
- PMCID: PMC4494674
- DOI: 10.1111/j.2047-6310.2012.00095.x
Laser beam measurement of abdominal sagittal diameter in obese children: a validation study
Abstract
Objectives: Sagittal diameter (SAD) has been reported to correlate to visceral fat and cardiovascular risk factors. SAD is measured with the individual lying down, halfway between the lower rib margin and the iliac crest; it represents the mid-height of the abdomen. The aim of this study was to validate SAD measured using a recently-developed laser beam device (SAD(LDB) ) against SAD measured using MRI (SAD(MRI)).
Methods: Of 48 obese children (25 boys, 23 girls) aged 9-11 years on the waiting list for obesity treatment, 34 agreed to a baseline measurement, which was followed by repeated measurements 6 and 12 months later in 31 and 22 children respectively. MRI was used to examine SAD(MRI) at 5 cm above (SAD(MRI,cra) ) and below (SAD(MRI,cau)) the mid plane of the L4-5 intervertebral disc.
Results: Each of the differences SAD(LBD) - SAD(MRI, cau) and SAD(LBD) - SAD(MRI,cra) was subjected to a repeated-measurements ANOVA; the visit did not have a statistically significant effect in either case (p = 0.19 and p = 0.72, respectively). The difference SAD(LBD) - SAD(MRI, cau) was 1.50 on average (p < 0.0001; CI 1.26-1.74) while the corresponding figure for SAD(LBD) -SAD(MRI, cra) was 1.26 (p < 0.0001; CI 1.04-1.49). Regression of the difference on the mean gave slopes of -0.09 (p = 0.25) and -0.04 (p = 0.57) respectively. Prediction of SAD(MRI) from SAD(LDB) can be performed in different ways: by means of linear regression or by means of an additive correction.
Conclusions: Thus, this laser device can be used instead of MRI to estimate SAD by using a simple correction.
© 2012 The Authors. Pediatric Obesity © 2012 International Association for the Study of Obesity.
Conflict of interest statement
There are no other conflicts of interest.
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References
-
- Vague J. La différenciation sexuelle, facteur déterminant des formes de l'obésité. Presse Méd. 1947;30:339–340. - PubMed
-
- Okorodudu DO, Jumean MF, Montori VM, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes (Lond) 2010;34:791–799. - PubMed
-
- Sakuragi S, Abhayaratna K, Gravenmaker KJ, et al. Influence of adiposity and physical activity on arterial stiffness in healthy children: the lifestyle of our kids study. Hypertension. 2009;53:611–616. - PubMed
-
- Sjöström L. A computer-tomography based multicompartment body composition technique and anthropometric predictions of lean body mass, total and subcutaneous adipose tissue. Int J Obes. 1991;15(Suppl. 2):19–30. - PubMed
-
- Björntorp P. Abdominal fat distribution and the metabolic syndrome. J Cardiovasc Pharmacol. 1992;20(Suppl. 8):S26–S28. - PubMed
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