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Updated: May 21, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Incremental value of body composition indices in discriminating poorly controlled asthma in children: a
Zhiyuan Wang1, Junlin Zhao1, Yanan Wang1
1Department of Pediatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Insights
Bioelectrical impedance analysis (BIA) body composition indices like extracellular water-to-total body water ratio (ECW/TBW) and phase angle (PhA) significantly improve the identification of poorly controlled asthma in children. These markers offer better discrimination than traditional clinical assessments alone.
Area of Science:
- Pediatric Respiratory Medicine
- Biomedical Engineering
- Clinical Assessment Tools
Background:
- Asthma is a common childhood respiratory disease with a significant portion of patients experiencing poor control despite current treatments.
- Traditional assessment methods using clinical indicators and lung function tests have limited ability to distinguish asthma severity.
- Novel biomarkers are needed to enhance the accurate assessment of asthma control in pediatric populations.
Purpose of the Study:
- To evaluate if bioelectrical impedance analysis (BIA)-derived body composition indices improve the discrimination of poorly controlled asthma in children.
- To assess the added value of extracellular water-to-total body water ratio (ECW/TBW), phase angle (PhA), and visceral fat area (VFA) beyond traditional clinical assessments.
Main Methods:
- A cross-sectional study included 103 children (aged 6-14 years) with asthma, divided into poorly controlled (n=41) and well-controlled (n=62) groups.
- Two logistic regression models were compared: a base model with clinical/lung function parameters and an enhanced model including BIA indices (ECW/TBW, PhA, VFA).
- Model performance was assessed using Area Under the Curve (AUC), Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI).
Main Results:
- Children with poorly controlled asthma showed significantly higher ECW/TBW and lower PhA compared to well-controlled asthmatics.
- In multivariable analysis, ECW/TBW was associated with increased risk (OR=9.83), and PhA with decreased risk (OR=0.17) of poorly controlled asthma.
- The enhanced model (AUC=0.893) significantly outperformed the base model (AUC=0.618), with improved sensitivity (70.7% vs. 39.0%) and specificity (90.3% vs. 77.4%).
Conclusions:
- BIA-derived body composition indices offer significant incremental value in discriminating poorly controlled asthma in children.
- These indices may reflect underlying systemic inflammation and metabolic disturbances contributing to asthma severity.
- Further multicenter studies with external validation are recommended to confirm these findings.
Background:
Asthma is the most common chronic respiratory disease in children, yet a considerable proportion of children have poorly controlled asthma despite advances in treatment. Traditional assessment models based on clinical indicators and lung function parameters show limited discriminatory ability. This study evaluated whether bioelectrical impedance analysis (BIA)-derived body composition indices-extracellular water-to-total body water ratio (ECW/TBW), phase angle (PhA), and visceral fat area (VFA)-improve the discrimination of poorly controlled asthma in children beyond traditional clinical assessments.
Methods:
This cross-sectional study enrolled 103 children aged 6-14 years with asthma, categorized into poorly controlled (n=41) and well-controlled (n=62) groups. Two logistic regression models were constructed: a base model [age, sex, forced expiratory volume in 1 second (FEV1) % predicted, FEV1/forced vital capacity (FVC)] and an enhanced model adding body composition indices (ECW/TBW, PhA, VFA). Performance was evaluated using the area under the curve (AUC), net reclassification index (NRI), integrated discrimination improvement (IDI), and decision curve analysis.
Results:
Children with poorly controlled asthma had elevated ECW/TBW (0.40 vs. 0.38, P<0.001) and decreased PhA (4.6° vs. 5.2°, P<0.001). In multivariable analysis, ECW/TBW was associated with increased risk of poorly controlled asthma [odds ratio (OR) =9.83, 95% confidence interval (CI): 3.53-27.37] and PhA was inversely associated (OR =0.17, 95% CI: 0.06-0.45). The enhanced model achieved an AUC of 0.893 vs. 0.618 for the base model (P<0.001), with sensitivity improving from 39.0% to 70.7% and specificity from 77.4% to 90.3%. The NRI was 0.446.
Conclusions:
BIA-derived body composition indices provided incremental discriminatory value for poorly controlled asthma beyond traditional assessment, potentially reflecting underlying systemic inflammation and metabolic disturbances. These findings warrant confirmation through multicenter studies with external validation.
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