Evaluation of the Global Lung Initiative 2012 Reference Values for Spirometry in African Children

Michele Arigliani1, Mario C Canciani1, Giovanni Mottini2

  • 11 Department of Clinical and Experimental Medical Sciences, Unit of Pediatrics, University Hospital of Udine, Udine, Italy.

Insights

The Global Lung Initiative (GLI-2012) spirometry reference values are suitable for African children. Malnutrition in children leads to reduced lung function (FEV1 and FVC) but does not impair the FEV1/FVC ratio.

Area of Science:

  • Pediatric Pulmonology
  • Global Health
  • Respiratory Medicine

Background:

  • Respiratory diseases pose a significant health burden in African children.
  • Currently, there is a lack of established spirometry reference values for this population.

Purpose of the Study:

  • To evaluate the applicability of the Global Lung Initiative (GLI-2012) spirometry reference values for children in sub-Saharan Africa.
  • To assess the impact of malnutrition on lung function in African children.

Main Methods:

  • Spirometry and anthropometric measurements were collected from 1,082 schoolchildren (ages 6-12) in Angola, DRC, and Madagascar.
  • GLI-2012 prediction equations for African Americans were used to derive spirometry z-scores.
  • Thinness (BMI z-score < -2) served as a proxy for malnutrition, and results were compared to NHANES data.

Main Results:

  • GLI-2012 values demonstrated a good fit, with mean z-scores close to zero for FEV1, FVC, and FEV1/FVC.
  • Malnourished children showed approximately 5% lower FEV1 and FVC (z-scores ~ -0.5) compared to non-malnourished peers, but maintained a normal FEV1/FVC ratio.
  • Significant regional variations in lung function z-scores were observed among the participating countries.

Conclusions:

  • The GLI-2012 spirometry reference values are appropriate for use in sub-Saharan African schoolchildren.
  • Malnutrition impacts overall lung volumes (FEV1, FVC) due to reduced body growth, not intrinsic respiratory impairment.
  • Findings highlight the need for context-specific interpretation of lung function data in diverse populations.
Abstract

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