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Updated: Sep 7, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
A height-weight formula to measure body fat in childhood obesity
Maria Rosaria Licenziati1, Giada Ballarin2, Gabriella Iannuzzo3
1Department of Neurosciences, Obesity and Endocrine Disease Unit, Santobono-Pausilipon Children's Hospital, Naples, Italy.
Insights
A simple height-weight equation can estimate body fat in obese children when specialized tools are unavailable. This method, alongside Body Mass Index (BMI) Z-score, aids in monitoring pediatric obesity and guiding healthier dietary choices.
Area of Science:
- Pediatric Endocrinology
- Body Composition Analysis
- Obesity Research
Background:
- Accurate body composition assessment is crucial for diagnosing and treating pediatric obesity.
- Standard methods are often impractical in clinical settings, and bioelectrical impedance analysis (BIA) has limitations in children.
- Body Mass Index (BMI) Z-score is a common proxy but doesn't differentiate fat mass from fat-free mass.
Purpose of the Study:
- To evaluate the agreement between fat mass and body fat percentage estimated by a height-weight equation versus a BIA equation in obese youths.
- To investigate the correlation between BMI Z-score and body fat metrics derived from both estimation methods.
Main Methods:
- A cross-sectional study included 174 obese youths (mean age 10.8 years, 52.3% male).
- Fat mass and body fat percentage were calculated using a height-weight based prediction model and a BIA prediction model.
Main Results:
- Bland-Altman analysis showed small mean differences for fat mass (+0.65 kg) and body fat percentage (+1.27%), with most values within limits of agreement.
- BMI Z-score correlated significantly with both fat mass and body fat percentage, irrespective of the method used.
- The correlation was stronger when using the height-weight equation (r=0.82, p<0.001).
Conclusions:
- A height-weight equation can serve as a practical surrogate for body fat estimation when instrumental tools are inaccessible.
- Focusing on body fat changes rather than BMI Z-score may encourage better dietary habits in children and parents.
Background:
The assessment of body composition is central in diagnosis and treatment of paediatric obesity, but a criterion method is not feasible in clinical practice. Even the use of bioelectrical impedance analysis (BIA) is limited in children. Body mass index (BMI) Z-score is frequently used as a proxy index of body composition, but it does not discriminate between fat mass and fat-free mass. We aimed to assess the extent to which fat mass and percentage of body fat estimated by a height-weight equation agreed with a BIA equation in youths with obesity from South Italy. Furthermore, we investigated the correlation between BMI Z-score and fat mass or percentage of body mass estimated by these two models.
Methods:
One-hundred-seventy-four youths with obesity (52.3% males, mean age 10.8 ± 1.9) were enrolled in this cross-sectional study. Fat mass and percentage of body fat were calculated according to a height-weight based prediction model and to a BIA prediction model.
Results:
According to Bland-Altman statistics, mean differences were relatively small for both fat mass (+ 0.65 kg) and percentage of body fat (+ 1.27%) with an overestimation at lower mean values; the majority of values fell within the limits of agreement. BMI Z-score was significantly associated with both fat mass and percentage of body fat, regardless of the method, but the strength of correlation was higher when the height-weight equation was considered (r = 0.82; p < 0.001).
Conclusions:
This formula may serve as surrogate for body fat estimation when instrumental tools are not available. Dealing with changes of body fat instead of BMI Z-score may help children and parents to focus on diet for health.
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