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Original Research
Validation of age-based body mass estimation methods in toddlers and pre-school children
Southern African Journal of Anaesthesia and Analgesia | Vol 25, No 1 | a851 |
DOI: https://doi.org/10.1080/22201181.2018.1532676
| © 2018 Karin Booysen, Johannes M. Dippenaar, Francois J. Smith
| This work is licensed under CC Attribution 4.0
Submitted: 05 November 2025 | Published: 30 January 2019
Submitted: 05 November 2025 | Published: 30 January 2019
About the author(s)
Karin Booysen, Private Practice, Pretoria, South AfricaJohannes M. Dippenaar, Department of Maxillo-Oral-Facial Surgery, Oral Health Centre, University of Pretoria, Pretoria, South Africa
Francois J. Smith, Department of Anaesthesiology, University of Pretoria, Pretoria, South Africa
Full Text:
PDF (685KB)Abstract
Background: Body mass is commonly used to determine medication dosages and equipment size. In emergency situations (including cases necessitating surgery) weighing paediatric patients can be impractical. Clinicians may use any of several body mass estimation techniques to surmount this obstacle. This study’s aim was to compare the actual body mass of children with estimated mass as predicted by several commonly used estimation methods.
Methods: This diagnostic cross-sectional study recorded data from patients between one and five years of age in the Tshwane district. Measurement procedures were standardised to ensure consistency.
Results: The relationship between anthropometric and demographic variables were determined and applied to different estimation models to assess the models’ applicability to the Tshwane district population. The APLS (Advanced Paediatric Life Support) formula (Body mass (kg) = (Age + 4) × 2) proved the most appropriate. This formula gave a mean underestimation of 0.51 kg. Age proved to be the variable with the strongest correlation to body mass. A formula was developed specifically for the selected population, adding mid upper arm circumference as a second variable. This formula is more complex and offers only a marginal improvement in accuracy of weight estimation.
Conclusion: The APLS formula is a reasonable tool to use when estimating the body mass in children between one and five years old in the Tshwane district population. It is a well-known and simple formula, making it well suited to this purpose.
Methods: This diagnostic cross-sectional study recorded data from patients between one and five years of age in the Tshwane district. Measurement procedures were standardised to ensure consistency.
Results: The relationship between anthropometric and demographic variables were determined and applied to different estimation models to assess the models’ applicability to the Tshwane district population. The APLS (Advanced Paediatric Life Support) formula (Body mass (kg) = (Age + 4) × 2) proved the most appropriate. This formula gave a mean underestimation of 0.51 kg. Age proved to be the variable with the strongest correlation to body mass. A formula was developed specifically for the selected population, adding mid upper arm circumference as a second variable. This formula is more complex and offers only a marginal improvement in accuracy of weight estimation.
Conclusion: The APLS formula is a reasonable tool to use when estimating the body mass in children between one and five years old in the Tshwane district population. It is a well-known and simple formula, making it well suited to this purpose.
Keywords
anaesthesia; anthropometric; bodyweight; children; mass; paediatric; South Africa
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