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Orphanet Journal of Rare Diseases | Evaluation of Body Composition and Resting Energy Expenditure in Adults with Achondroplasia

Date: April 05, 2025

Classification: Frontiers

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This study is the first to evaluate the application of bioelectrical impedance analysis (BIA) in body composition assessment among adults with achondroplasia, finding it highly consistent with dual-energy X-ray absorptiometry (DXA), suggesting BIA can be used for clinical screening. Additionally, resting energy expenditure (REE) is closely related to fat-free mass (FFM) but not affected by gender, providing baseline data for energy management in this population.

 

Literature Overview
This article, titled 'Body composition, anthropometry, and resting energy expenditure in adults with achondroplasia: a pilot study to determine best practices,' published in the Orphanet Journal of Rare Diseases, reviews and summarizes the assessment methods for body composition, resting energy expenditure, and anthropometric measurements in individuals with achondroplasia. It explores the correlation between BIA and DXA in measuring body composition and analyzes the applicability of BMI in this population. The study also evaluates the relationship between resting energy expenditure and body composition, laying the foundation for future research.

Background Knowledge
Achondroplasia is the most common non-proportional short-limbed skeletal dysplasia, with an incidence of approximately 1 in 20,000 to 30,000 live births. It is caused by mutations in the FGFR3 gene, leading to abnormal skeletal development characterized by short limbs, midface hypoplasia, macrocephaly, and lumbar lordosis. Due to skeletal abnormalities and limited mobility, individuals are prone to obesity and related metabolic disorders such as hypertension and cardiovascular diseases. Traditional BMI criteria are not suitable for this population due to differences in body proportions, leading to potential misclassification. Additionally, body composition measurement methods such as BIA and anthropometry face challenges and require recalibration for this special population. This study aims to explore the validity of BIA and anthropometry in adults with achondroplasia and the relationship between resting energy expenditure (REE) and body composition, providing more accurate assessment tools for clinical practice.

 

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Study Methods and Procedures
The study enrolled 20 adults with achondroplasia (9 women and 11 men) and assessed body composition using anthropometry, BIA, and DXA under standardized conditions. REE was measured in a fasting state and correlated with total body weight and fat-free mass. Gender differences were analyzed using t-tests and non-parametric tests. The comparability between BIA and DXA was assessed using linear regression and Bland–Altman analysis.

Key Findings and Perspectives

  • Highly standardized body composition measurements (BIA, DXA, anthropometry) are feasible in adults with achondroplasia, with good data quality.
  • BIA and DXA show strong agreement in total fat mass, percentage body fat, and fat-free mass estimation, with R² values of 96.6%, 92.6%, and 86.5%, respectively.
  • Women show significantly higher fat mass and percentage body fat than men, with greater differences in limb fat; men exhibit larger arm muscle area.
  • Waist circumference is highly correlated with fat mass and percentage body fat, particularly in women, suggesting its potential as a screening tool for obesity risk.
  • Resting energy expenditure (REE) is positively correlated with fat-free mass (FFM) but not influenced by gender, indicating that REE relates to metabolically active tissue mass.
  • Traditional BMI overestimates or underestimates body fat in individuals with achondroplasia, necessitating the development of specific assessment criteria.
  • Body composition assessment should combine regional fat distribution and fat-free mass rather than rely solely on BMI.

Research Implications and Future Directions
This study provides preliminary evidence for body composition assessment in adults with achondroplasia, suggesting BIA and key anthropometric measurements can be used for obesity risk screening. The positive correlation between REE and FFM indicates that physical activity and fitness training may play a crucial role in weight management. Future studies with larger cohorts are needed to validate these findings and further explore the relationship between fat distribution and metabolic health.

 

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Conclusion
This study represents the first systematic evaluation of body composition and resting energy expenditure measurement methods in adults with achondroplasia. Results show that BIA effectively assesses fat and fat-free mass and is highly consistent with DXA. Waist circumference is strongly correlated with body fat, highlighting its value in obesity screening. The positive correlation between REE and FFM suggests that weight management should focus on improving physical fitness and activity. Future research should focus on regional fat distribution and its relationship with metabolic complications, and develop body fat assessment criteria tailored to this population.

 

Literature Source:
Kerry Schulze, John McGready, Bobbie Barron, Celide Koerner, and Julie Hoover-Fong. Body composition, anthropometry, and resting energy expenditure in adults with achondroplasia: a pilot study to determine best practices. Orphanet Journal of Rare Diseases.
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