[Gaussian distribution of intelligence in VLBW preterm infants at age 5: very low correlation with very low birth

A van Baalen1, C Ross, G Kewitz

  • 1Kinderklinik der Freien Universität, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin.

Insights

Intelligence in very low birth weight (VLBW) infants is normally distributed at preschool age. Hypoglycemia and bronchopulmonary dysplasia are risk factors for lower intelligence, while hyperexcitability may indicate future reduction.

Area of Science:

  • Neonatalogy
  • Developmental Pediatrics
  • Neuroscience

Context:

  • Very low birth weight (VLBW) infants (<1500g) face elevated risks for developmental disorders.
  • Understanding intelligence distribution and associated risk factors in VLBW infants is crucial for early intervention.
  • This study investigates preschool-age intelligence in VLBW infants, moving beyond mean estimations to analyze distribution patterns.

Purpose:

  • To examine the distribution of intelligence at preschool age in very low birth weight (VLBW) infants.
  • To identify perinatal and postnatal risk factors associated with intelligence distribution in VLBW survivors.
  • To assess the correlation between birth weight and intelligence in this vulnerable population.

Summary:

  • A prospective cohort study followed 277 VLBW infants (<32 weeks gestation), assessing intelligence at age 5 using the Kaufman-Assessment Battery for Children.
  • Intelligence distribution in 137 VLBW infants (60% follow-up) resembled a Gaussian curve, with slight positive correlation to birth weight.
  • Significant risk factors for lower intelligence included hypoglycemia after day one, bronchopulmonary dysplasia, and hyperexcitability at discharge.

Impact:

  • Preschool intelligence in VLBW infants is typically normally distributed, with minimal correlation to birth weight.
  • Hypoglycemia and bronchopulmonary dysplasia are identified as significant risk factors impacting cognitive development.
  • Hyperexcitability at discharge emerges as a potential indicator for later intelligence deficits, guiding targeted follow-up strategies.
Abstract

Related Concept Videos

z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
Normal Distribution01:11

Normal Distribution

The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is extremely...
Biological Influences on Intelligence01:30

Biological Influences on Intelligence

Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter more...
Measures of Intelligence01:29

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
The Bell Curve01:21

The Bell Curve

The normal probability distribution, often depicted as a symmetrical, bell-shaped curve, is fundamental in statistics and the study of natural phenomena. This pattern, famously described by mathematician Carl Friedrich Gauss, shows how data points are distributed around a central mean, with most values near the average and fewer observations occurring as they deviate further from it.
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
Environmental Influences on Intelligence01:29

Environmental Influences on Intelligence

Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children from...