A comprehensive analysis of anthropometric indicators in preschool children suffering from recurrent respiratory

Oleksandr M Voloshyn1, Yurii V Marushko2, Tetiana V Hyshchak2

  • 1BOGOMOLETS NATIONAL MEDICAL UNIVERSITY, KYIV, UKRAINE; LUHANSK STATE MEDICAL UNIVERSITY, RIVNE, UKRAINE.

Wiadomosci Lekarskie (Warsaw, Poland : 1960)
|June 12, 2024
PubMed

Insights

This study found no direct link between physical measurements and recurrent respiratory infections in preschoolers. However, age and body length were identified as factors influencing resistance in younger children (12-23 months).

Area of Science:

  • Pediatrics
  • Public Health
  • Epidemiology

Background:

  • Recurrent respiratory infections (RRIs) are a common health concern in preschool children.
  • Anthropometric indicators are often used to assess child development and nutritional status.
  • Understanding the relationship between physical development and infection susceptibility is crucial for early intervention.

Purpose of the Study:

  • To investigate the association between anthropometric indicators and susceptibility to RRIs in preschool children.
  • To identify potential physical development markers related to infection risk.

Main Methods:

  • A clinical study involving 143 preschool children (12-59 months) treated for acute respiratory infection.
  • Assessment of anthropometric indicators including body weight, length, chest circumference, BMI, body surface area, and Vervek's index.
  • Analysis of the number of acute respiratory infection episodes in the preceding year.

Main Results:

  • No significant interdependence was found between anthropometric indicators and susceptibility to RRIs using cross-tabulation and rank correlation.
  • Linear regression revealed that the resistance index in children aged 12-23 months was dependent on age and body length.
  • Age and body length combined explained 32.2% of the risk factors for RRIs in this subgroup.

Conclusions:

  • The study highlights the need for further research into the complex relationship between physical development and RRIs in young children.
  • Multivariate statistical analysis of risk factors, including anthropometric data, can enhance future studies on infection incidence.
Abstract

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