Related Experiment Video
Updated: Jan 30, 2026

Reporter-based Growth Assay for Systematic Analysis of Protein Degradation
Published on: November 6, 2014
Catch-Up Growth in Full-Term Small for Gestational Age Infants: A Systematic Review
Susan C Campisi1,2, Sarah E Carbone3,4, Stanley Zlotkin1,5,6,7,2
1Department of Nutritional Sciences, University of Toronto, Toronto, Canada.
Insights
Catch-up growth (CUG) in full-term small for gestational age (SGA) infants is common, with a median prevalence of 87.4%. However, varied definitions hinder global program planning for these infants.
Area of Science:
- Neonatal Health
- Pediatric Growth Studies
- Global Child Health
Background:
- Small for gestational age (SGA) infants, comprising 16% globally, face heightened risks for adverse developmental and adult health outcomes.
- Catch-up growth (CUG) is a critical factor influencing the long-term health trajectory of SGA infants, particularly in low- and middle-income countries.
- Understanding the prevalence of CUG in full-term SGA (FT-SGA) infants is essential for targeted health interventions.
Purpose of the Study:
- To systematically review and determine the global prevalence of catch-up growth (CUG) in full-term small for gestational age (FT-SGA) infants.
- To identify the heterogeneity in definitions and reference standards used for classifying SGA and CUG globally.
- To highlight the need for standardized definitions to facilitate effective program implementation for FT-SGA infants.
Main Methods:
- A comprehensive literature search was conducted across major scientific databases (MEDLINE, Pubmed, Embase, Web of Science, Scopus) and grey literature.
- 3137 studies were initially identified, with the final analysis including 11 studies meeting the inclusion criteria.
- Due to significant heterogeneity in methodologies, a meta-analysis was not feasible.
Main Results:
- The median prevalence of CUG among FT-SGA infants was found to be 87.4% across various definitions of SGA and CUG.
- Significant heterogeneity was observed in the classification of SGA (9 unique reference populations) and CUG (6 approximations).
- This variability in definitions prevented a meta-analysis and complicates the assessment of global need for CUG interventions.
Conclusions:
- While CUG is highly prevalent in FT-SGA infants, the lack of standardized definitions for SGA and CUG poses a significant challenge for global health planning.
- Standardized definitions and reference standards are urgently needed to accurately assess the global need for and to rationally plan programs addressing CUG in FT-SGA infants.
- Establishing clear, consistent criteria is crucial for implementing effective interventions for this vulnerable infant population.
Abstract:
This is the first systematic review to examine the global prevalence of catch-up growth (CUG) in small for gestational age (SGA) infants who were born at full term (FT). Size at birth and subsequent growth is an important indicator of neonatal and adult health. Globally, 16% of infants are SGA at birth, ranging from 7% in industrialized countries to 41.5% in South Asia. SGA infants are at increased risk for negative developmental and adult health outcomes. Some achieve CUG but others do not. CUG has immediate and late health implications especially in low- and middle-income countries. This systematic review sought to determine the global prevalence of CUG among FT-SGA infants. We performed a literature search of MEDLINE, Pubmed, Embase, Web of Science, and Scopus, as well as grey literature databases, and identified 3137 studies. The final analysis included 11 studies. The median prevalence of CUG was 87.4% across all definitions of SGA and CUG. However, multiple definitions were used to classify SGA and CUG. Nine unique reference populations were used to classify SGA, and 6 to approximate CUG. Due to this heterogeneity, a meta-analysis could not be conducted. Program implementation for this vulnerable group of infants is dependent on proper classification. Given the wide range of definitions and reference standards used in the past, it is not possible to determine the global need for programs to address CUG for FT-SGA infants or to rationally plan any such programs. We highlight the need and propose standard definitions and references for SGA and CUG.
Related Concept Videos
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Diabetes Mellitus: Type 2 and Gestational
Random and Systematic Errors
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Long-term Depression

