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Estimation of percent body fat based on anthropometric measurements in children and adolescents with congenital adrenal hyperplasia due to 21-hydroxylase deficiency
- Source :
- Clinical Nutrition. 32:45-50
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- Summary Background & aim Congenital adrenal hyperplasia due to 21-hydroxylase deficiency is associated with a high risk for obesity. Anthropometric measures are simple and inexpensive methods to assess body fat. However, the accuracy of alternative methods in these patients is unknown. This study aim to develop and evaluate the accuracy of predictive anthropometric equations in the estimation of percent body fat in individuals with congenital adrenal hyperplasia due to 21-hydroxylase deficiency. Methods A total of 31 female and 22 male patients, aged 7–20 years, were evaluated. Dual-energy X-ray absorptiometry was used as the reference method for body fat, and anthropometric measurements were performed. Results Three new predictive equations showed similar results: Equation (1) ( R 2 = 0.85; SEE = 2.89%), Equation (2) ( R 2 = 0.86; SEE = 2.82%), and Equation (3) ( R 2 = 0.86; SEE = 2.81%). Internal cross-validation procedures showed a high R 2 (range, 0.84–0.85) and low SEE ( Conclusion In children and adolescents with congenital adrenal hyperplasia due to 21-hydroxylase deficiency, three new predictive equations were validated for the estimation of percent body fat, with dual-energy X-ray absorptiometry as the reference method.
- Subjects :
- Adult
Male
medicine.medical_specialty
Pediatrics
Adolescent
Overweight
Critical Care and Intensive Care Medicine
Models, Biological
Body Mass Index
Young Adult
Absorptiometry, Photon
Child Development
Congenital adrenal hyperplasia due to 21-hydroxylase deficiency
Internal medicine
medicine
Humans
Body Weights and Measures
Congenital adrenal hyperplasia
Obesity
Child
Dual-energy X-ray absorptiometry
Adiposity
Sex Characteristics
Nutrition and Dietetics
Adrenal Hyperplasia, Congenital
Anthropometry
medicine.diagnostic_test
business.industry
Adolescent Development
medicine.disease
Endocrinology
Female
medicine.symptom
business
Body mass index
Algorithms
Sex characteristics
Subjects
Details
- ISSN :
- 02615614
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Clinical Nutrition
- Accession number :
- edsair.doi.dedup.....0abfb7e256064de67163615573f76218
- Full Text :
- https://doi.org/10.1016/j.clnu.2012.05.007