Regression Equations of Respiratory Impedance Measured by Forced Oscillation Technique for Indian Children

Sajal De1, Nalok Banerjee2, R R Tiwari2

  • 1National Institute for Research in Environmental Health, Kamla Nehru Hospital Building, Gandhi Medical College Campus, Bhopal, 462001, India. sajalde@yahoo.com.

Insights

Regression equations for respiratory impedance in Indian children aged 5-17 were developed. Standing height was the strongest predictor, showing impedance decreases with increased height.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Physiology
  • Biomedical Engineering

Background:

  • Assessing respiratory impedance is crucial for understanding lung function in children.
  • Limited data exists for respiratory impedance in Indian pediatric populations.

Purpose of the Study:

  • To establish regression equations for within- and whole-breath respiratory impedance in Indian children aged 5 to 17 years.
  • To identify key anthropometric predictors of respiratory impedance in this demographic.

Main Methods:

  • A prospective cross-sectional study involving 320 healthy Indian children (5-17 years).
  • Respiratory system resistance (Rrs) and reactance (Xrs) measured using the forced oscillation technique (FOT) at 5, 11, and 19 Hz.
  • Multiple linear regression models used to develop equations for Rrs and Xrs, stratified by gender.

Main Results:

  • Standing height emerged as the most significant predictor of both Rrs and Xrs.
  • Respiratory impedance generally decreased with increasing standing height.
  • Boys aged 16+ showed significantly lower Rrs compared to girls of the same age.

Conclusions:

  • Novel regression equations for respiratory impedance in Indian children (5-17 years) are presented.
  • The R5 values for Indian children were found to be comparable to international data.
  • These equations provide valuable reference data for pediatric respiratory health assessments in India.
Abstract

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