Early postnatal growth predictors of catch-up growth in term small-for-gestational-age infants: a nationwide

Jinjoo Choi1, Yun Jin Kim2, Myoung-Jin Yoo1

  • 1Department of Pediatrics, Hanyang University Hospital, Seoul, Republic of Korea.

Insights

Early infant feeding type does not impact catch-up growth (CUG) in small for gestational age (SGA) infants. Instead, early anthropometric measurements at 4-6 months are key predictors of CUG in SGA infants.

Area of Science:

  • Pediatrics
  • Neonatology
  • Growth and Development

Background:

  • Infants born small for gestational age (SGA) face risks of impaired growth and metabolic issues.
  • The long-term impact of infant feeding type on catch-up growth (CUG) in SGA infants is debated, with no clear predictive anthropometric thresholds.
  • This study addresses the controversy surrounding feeding types and CUG in SGA infants.

Purpose of the Study:

  • To investigate the association between early feeding type (breastfeeding vs. formula-feeding) and catch-up growth (CUG) in term SGA infants.
  • To identify anthropometric predictors of CUG in term SGA infants.
  • To inform nutritional support strategies for SGA infants.

Main Methods:

  • Analysis of a population-based cohort of term SGA infants from the Korean National Health Screening Program (2007-2014).
  • Classification of feeding type as exclusive breastfeeding or exclusive formula-feeding, excluding mixed feeding.
  • Propensity-score matching (1:1) for sex, birth weight, socioeconomic status, and residence; CUG defined as height > 3rd percentile by 42-48 months.

Main Results:

  • A cohort of 1,832 infants was analyzed after matching.
  • Formula-fed infants showed faster initial growth, but CUG rates at four years were comparable between feeding groups.
  • Feeding type was not significantly associated with CUG (aOR 1.38). Weight and height Z-scores at 4-6 months strongly predicted later CUG (AUC 0.77 and 0.84, respectively).

Conclusions:

  • Early weight and height Z-scores at 4-6 months are critical determinants of CUG in term SGA infants.
  • Breastfeeding supports comparable long-term outcomes to formula feeding, suggesting a potentially favorable physiological trajectory.
  • Growth monitoring in early infancy (4-6 months) can identify SGA infants at risk for persistent growth failure, guiding timely nutritional interventions.
Abstract

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.3K
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
2.3K
Nature and Nurture01:10

Nature and Nurture

Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience,...
22.8K
Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
5.1K
Oxygen Requirements and Growth Patterns01:29

Oxygen Requirements and Growth Patterns

Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...
2.4K
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
2.7K