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Growth curve models for weight among infants: a scoping review protocol
Marta Alves1,2,3, Sofia Serra2,4, Teresa Costa2,4
1Epidemiology and Statistics Unit, Research Center, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, Lisbon, Portugal.
JBI Evidence Synthesis
|February 12, 2025
Summary
This scoping review systematically analyzes statistical models for infant weight growth curves. It examines various study designs, sample sizes, and statistical methods to understand their application in estimating infant growth trajectories.
Area of Science:
- Biostatistics
- Pediatric Growth Monitoring
- Data Science
Background:
- Traditional growth models estimated individual curves, while mixed-effects regression models estimate mean trajectories.
- More advanced models like Generalized Additive Models for Location, Scale, and Shape (GAMLSS) and SuperImposition by Translation and Rotation (SITAR) offer greater flexibility for parameter estimation.
Purpose of the Study:
- To systematically review and overview the literature on statistical models used for estimating infant weight growth curves.
- To examine key features of these studies, including design, sample size, and statistical approaches.
Main Methods:
- Scoping review conducted following JBI methodology.
- Searched multiple databases (PubMed, Scopus, Web of Science, SciELO, LILACS, ProQuest, RCAAP) for studies on statistical methodologies for infant weight growth curves (under 24 months).
- Included prospective/retrospective cohorts and cross-sectional studies published in English, Portuguese, or Spanish; excluded case series, reviews, short letters, books, and abstract-only papers.
Main Results:
- Data on mathematical/statistical approaches and models will be summarized.
- A narrative summary will accompany the tabular data presentation.
- The review will highlight variations in study designs, sample sizes, and statistical techniques employed.
Conclusions:
- This review provides a comprehensive overview of statistical modeling techniques for infant weight growth curves.
- It identifies trends and gaps in the literature regarding methodologies for estimating infant growth trajectories.
- Findings will inform future research and clinical applications of growth modeling in pediatrics.
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