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Related Experiment Videos

Weight-for-length model in newborn Swedish infants

A Niklasson1, P Karlberg

  • 1Department of Paediatrics I, University of Göteborg, Sweden.

Acta Paediatrica (Oslo, Norway : 1992)
|April 1, 1993
PubMed
Summary

A new method, LEANSDS, evaluates newborn infant leanness/fatness independent of length. This continuous variable, derived from weight and length standard deviation scores, offers a sensitive measure for assessing infant body composition.

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Area of Science:

  • Neonatal research
  • Pediatric anthropometry
  • Infant body composition analysis

Background:

  • Assessing newborn infant leanness/fatness is crucial for health outcomes.
  • Existing methods may be complex or lack independence from length.
  • A standardized, continuous measure is needed for precise evaluation.

Purpose of the Study:

  • To introduce a novel, continuous variable (LEANSDS) for evaluating newborn infant leanness/fatness.
  • To develop a methodology independent of infant length and gestational age.
  • To provide a simplified visual evaluation tool for clinical use.

Main Methods:

  • Constructed a new continuous variable, LEANSDS, using standard deviation scores (SDS) for weight and length in a linear regression model.
  • Utilized data from the Swedish Medical Birth Register (1986) and tested on the 1985 cohort of healthy, singleton, live-born infants.

Related Experiment Videos

  • Developed a simplified chart for visual evaluation of LEANSDS.

    • Main Results:

    • The LEANSDS variable demonstrated independence from length, with an intercept of zero and regression coefficient of 0.7152 (r2=0.51).
    • The method is applicable across a gestational age range of 34-43 weeks, irrespective of gender.
    • Analysis using a -2 SD cut-off indicated that approximately one-third of light-for-dates infants were lean, and two-thirds of lean infants were not light for dates.

    Conclusions:

    • LEANSDS provides a sensitive, continuous, and length-independent measure of infant leanness/fatness.
    • The methodology allows for detailed analysis of individual and group deviations in body composition.
    • This approach offers improved sensitivity for assessing neonatal anthropometry and potential health implications.