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Normal values for lung function tests in Sudanese children

A A Mabrouk1, S A Ibrahim

  • 1Khartoum Teaching Hospital, Sudan.

East African Medical Journal
|April 1, 1995
PubMed
Summary
This summary is machine-generated.

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This study established normal lung function values for Sudanese children aged 7-12. Standing height was the best predictor for lung indices like forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR).

Area of Science:

  • Pediatric Pulmonology
  • Anthropometry
  • Public Health

Background:

  • Establishing normative data for lung function indices is crucial for identifying respiratory abnormalities in children.
  • Previous studies have shown variations in lung function across different ethnic groups and geographical locations.

Purpose of the Study:

  • To determine normal values for forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and peak expiratory flow rate (PEFR) in healthy Sudanese school children.
  • To investigate the correlation of these lung indices with age, weight, and height.
  • To develop prediction formulae for lung function in this population.

Main Methods:

  • A cross-sectional study involving 400 healthy Sudanese school children aged 7-12 years.
  • Lung function parameters (FEV1, FVC, PEFR) were measured using spirometry and Peak Flow Metres (Wright's and Mini Wright's).

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  • Statistical analysis included correlation coefficients and scatter plot analysis to assess relationships between lung function and anthropometric variables.

    • Main Results:

    • Standing height showed the strongest correlation with PEFR (r=0.97) and FEV1 (r=0.90).
    • Prediction formulae incorporating age and standing height were developed.
    • Lung function indices in Sudanese children were found to be comparable to Libyan children, higher than Nigerian and Indian children, and lower than European and American children.

    Conclusions:

    • Standing height is a significant predictor of lung function in Sudanese children.
    • The established prediction formulae can aid in assessing respiratory health in this population.
    • Findings highlight the need for geographically specific reference values for lung function indices.