Effect of intrauterine bodily development and nutritional status on the later body-length development of children. The MDN system

  • Péter Berkő
  • Kálmán Joubert
  • Gyula Gyenis
Open Access
Poster presentation
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Keywords

Growth Hormone Nutritional Status Neonatal Mortality Accurate Identification Therapy Treatment 

The author’s aim was to study 1./ the effect of intrauterine weight and length development and nutritional status on the later height development of children, - 2./ how can we use the MDN system to identify and distinguish neonates who are likely to need growth hormone treatment in the future.

The authors examined the height of 6335 Hungarian 18 years old young men, whose intrauterine weight and length development was known after birth. They have used a new diagnostic method, so called MDN (Maturity, Development and Nutritional status) system which is suitable to determine the body development and nutritional status of a neonate on the basis of its gestational age, length and weight development considered simultaneously (Berkő P., Joubert K. J Maternal Fetal Neonatal Med, 2009; 22/7, pp.552).

Relying on the birth data and the MDN matrix position of 6335 young men, the authors have established, the height of the 18 years old men became smallest who were proportionally retarded neonates at birth time. Their average height was 170.8cm comparing to the young men who were absolutely averages at birth time (176.1). The difference is strongly significant.

The MDN system is a suitable method for the differentiation the mostly endangered neonate groups, based on their body development and nourishment. The development and the nutritional status have a major impact on the neonatal mortality. The MDN system has another important area of application. It allows the prompt and accurate identification of those newborns for whom systematic follow-up measurements and growth hormone therapy treatment is likely to be necessary in the future.

Copyright information

© Berkő et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Péter Berkő
    • 1
  • Kálmán Joubert
    • 2
  • Gyula Gyenis
    • 3
  1. 1.Faculty of Health Care, Miskolc University, Borsod-A.-ZCounty and University Teaching HospitalBudapestHungary
  2. 2.Demographic Research InstituteCentral Statistic OfficeBudapestHungary
  3. 3.Department of Biological AntropologyFaculty of Science Eötvös Lorand UniversityBudapestHungary

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