Related Experiment Video
Updated: Jun 17, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
Optimal birth weight percentile cut-offs in defining small- or large-for-gestational-age
1Department of Obstetrics and Gynecology, Sainte-Justine Hospital, University of Montreal, Montreal, Canada.
Insights
The 15th and 97th birth weight percentiles are optimal for identifying small-for-gestational-age (SGA) and large-for-gestational-age (LGA) infants, respectively. These cut-offs better predict neonatal risks than the traditional 10th and 90th percentiles.
Area of Science:
- Perinatal epidemiology
- Neonatal outcomes
- Fetal growth assessment
Background:
- Defining small-for-gestational-age (SGA) and large-for-gestational-age (LGA) is crucial for identifying infants at risk.
- Current percentile cut-offs (10th and 90th) for SGA and LGA lack robust clinical validation.
Purpose of the Study:
- To evaluate and determine optimal birth weight percentile cut-offs for defining SGA and LGA.
- To assess the clinical significance of different percentile cut-offs in relation to neonatal outcomes.
Main Methods:
- Analysis of a large US birth cohort (17,979,120 singleton live births, 1995-2001).
- Comparison of neonatal death and low 5-min Apgar scores (reference: 25th-75th percentile).
- Calculation of risk ratios (RR) for SGA and LGA infants versus the reference group.
Main Results:
- The 15th percentile identified SGA infants with >2-fold risk of neonatal death across gestational ages (except <28 weeks).
- The 97th percentile identified LGA infants with a 2-fold risk of low 5-min Apgar at term.
- LGA was linked to reduced low Apgar risk preterm but increased risk at term/post-term.
Conclusions:
- The 10th and 90th percentiles for SGA and LGA are likely arbitrary.
- The 15th and 97th percentiles appear to be optimal cut-offs for defining SGA and LGA, respectively.
- These refined cut-offs can improve the identification of infants at risk for adverse neonatal outcomes.
Aims:
It remains questionable what birth weight for gestational age percentile cut-offs should be used in defining clinically important poor or excessive foetal growth. We aimed to evaluate the optimal birth weight percentile cut-offs for defining small- or large-for-gestational-age (SGA or LGA).
Methods:
In a birth cohort-based analysis of 17 979 120 non-malformation singleton live births, U.S. 1995-2001, we assessed the optimal birth weight percentile cut-offs for defining SGA and LGA. The 25th-75th percentile group served as the reference. Primary outcomes are the risk ratios (RR) of neonatal death and low 5-min Apgar score (<4) comparing SGA or LGA versus the reference group. More than 2-fold risk elevations were considered clinically significant.
Results:
The 15th birth weight cut-off already identified SGA infants at more than 2-fold risk of neonatal death at pre-term, term or post-term, except for extremely pre-term births <28 weeks (continuous risk reductions over increasing birth weight percentiles). LGA was associated with a reduced risk of low 5-min Apgar score at pre-term, but an elevated risk at term and post-term. The 97th cut-off identified LGA infants at 2-fold risk of low 5-min Apgar at term.
Conclusion:
The commonly used 10th and 90th birth weight percentile cut-offs for defining SGA and LGA respectively seem largely arbitrary. The 15th and 97th percentiles may be the optimal cut-offs to define SGA and LGA respectively.
Related Concept Videos
z Scores and Area Under the Curve
Normal Distribution
Drug Dosing: Obese Patients
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...
Applications of Normal Distribution
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
Regression Toward the Mean
