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A Weight Estimation Strategy for Preterm and Full-Term Infants
Susan M Abdel-Rahman1,2, Ian M Paul3, Paula Delmore4
1Children's Mercy Hospitals and Clinics, Kansas City, MO, USA.
Insights
Accurate infant weight estimation is crucial, especially in remote areas lacking scales. This study developed a simple, low-cost method using head and chest circumference to reliably estimate infant weight.
Area of Science:
- Pediatrics
- Public Health
- Anthropometry
Background:
- Infant weight is a critical health indicator, but access to accurate weighing scales is limited in resource-constrained and remote settings.
- Existing weight estimation methods often lack accuracy or practicality for community health workers.
Purpose of the Study:
- To develop and validate a simple, accessible infant weight estimation strategy.
- To address the limitations of current methods in remote, resource-limited environments.
Main Methods:
- Evaluated the relationship between anthropometric measures (circumferential and segmental) and infant weight and length.
- Developed and validated a predictive model using data from 2097 US infants.
- Selected head circumference and chest circumference based on correlation, reproducibility, and practical considerations.
Main Results:
- Head and chest circumference showed strong correlations with infant weight (r=0.89) and length (r=0.94, 0.93).
- The combined model predicted infant weight within 10% for 84% and 15% for 94% of infants.
- The model demonstrated no bias related to postnatal age, gestational age, or sex.
Conclusions:
- A simple summation model using head and chest circumference provides a reliable method for estimating infant weight.
- This low-cost, paper-based strategy can significantly improve health monitoring in underserved areas.
- The validated method offers a practical solution for healthcare providers lacking functional weighing scales.
Abstract:
Weight is the foremost marker of health outcomes in infants; however, the majority of community workers and health care providers in remote, resource-constrained settings have limited access to functional scales. This study develops and validates a simple weight estimation strategy for infants that addresses the limitations of current approaches. Circumferential and segmental anthropometric measures were evaluated for their relationship to infant weight and length. Data derived from 2097 US infants (n = 1681 for model development, n = 416 for validation). Statistical and practical considerations informed final measurement selection. Head circumference and chest circumference demonstrated the best correlations with weight (r = 0.89) and length (r = 0.94 and 0.93), and were among the most reproducible as reflected by intraclass correlation coefficients (>0.98). The head circumference and chest circumference combination offered better goodness-of-fit and smaller limits of agreement than did either measure alone. The final model predicted weight within 10% and 15% of actual for 84% and 94% of infants, respectively, with no bias for postnatal age (P = .76), gestational age (P = .10), and sex (P = .25). The model requires simple summation to generate a weight estimate and can be embodied as a low-cost, paper-based device.
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