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A perinatal growth chart for international reference

Insights

This study introduces a simple S-shaped curve model for infant weight gain, focusing on the linear growth phase between 28 weeks gestation and 18 weeks postnatal. This model aids in creating a versatile reference chart for tracking healthy infant growth internationally.

Area of Science:

  • Pediatrics
  • Human Growth and Development
  • Biostatistics

Background:

  • Infant weight and age follow an S-shaped curve, with a linear phase from 28 weeks gestation to 18 weeks postnatal.
  • Fetal growth curve flattening after 40 weeks gestation is often due to growth constraints and typically excluded from standard growth references.
  • Assumptions of normal weight distribution and similar growth velocity in fetuses and infants during this period are key.

Purpose of the Study:

  • To develop a simple, memorable, and constructible reference chart for tracking infant growth.
  • To establish a standardized method for assessing normal infant weight gain across diverse populations.
  • To account for biological variables like sex and maternal height in growth assessments.

Main Methods:

  • Utilized the linear portion of the weight-age curve (28 weeks gestation to 18 weeks postnatal) to define a reference line.
  • Developed a versatile reference chart based on assumptions of normal weight distribution and consistent growth velocity.
  • Incorporated allowances for biological variables such as infant sex and maternal height.

Main Results:

  • A versatile reference chart for international use was created, simplifying the assessment of infant growth.
  • The chart allows for categorization of infants, longitudinal growth studies, and population comparisons.
  • The model emphasizes that differences in weight at 28 weeks gestation are the primary differentiator for normally growing fetuses and infants.

Conclusions:

  • The developed reference chart provides an easy-to-use tool for monitoring infant growth.
  • This method facilitates standardized comparisons of infant growth across different populations and settings.
  • The chart's adaptability allows for consideration of key biological variables, enhancing its clinical utility.

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