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Spirometric volumes in Malaysian males

R Singh1, H J Singh, R G Sirisinghe

  • 1Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan.

The Southeast Asian Journal of Tropical Medicine and Public Health
|June 1, 1994
PubMed
Summary

This study established lung function reference values for Malaysian males, showing forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV1) decrease with age. It highlights the need for population-specific spirometry equations to avoid diagnostic errors.

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Area of Science:

  • Pulmonary Medicine
  • Respiratory Physiology
  • Public Health

Background:

  • Spirometry is crucial for assessing lung function.
  • Existing lung function prediction equations may not be universally applicable across diverse populations.
  • Establishing population-specific reference values is essential for accurate diagnosis.

Purpose of the Study:

  • To determine reference values for spirometry (FVC and FEV1) in a Malaysian male population.
  • To investigate the relationship between lung function parameters and age in this cohort.
  • To develop a predictive equation for FVC in Malaysian males and assess the applicability of existing equations.

Main Methods:

  • Spirometry was conducted on 1,485 Malaysian males aged 13-78 years.
  • Subjects were categorized into six age groups representing major ethnic distributions.

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  • Regression analysis was used to determine age-related lung function decline and develop predictive equations.

    • Main Results:

    • Mean FVC was 3.45 L and mean FEV1 was 3.10 L.
    • Both FVC and FEV1 showed a significant negative correlation with age.
    • An age-related decline of 295 ml/decade in FVC was observed, with a derived predictive equation: FVC = 0.0404(height) - 0.0295(age) - 2.2892 for individuals over 20 years.

    Conclusions:

    • The study provides essential spirometry reference values for Malaysian males.
    • Age significantly impacts lung function, necessitating age-specific interpretations.
    • Applying lung function prediction equations from other populations to Malaysians can lead to substantial errors, emphasizing the need for local data.