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Peak expiratory flow rates in Libyan adolescents
M S Mukhtar1, G M Rao, L O Morghom
1Department of Physiology, Faculty of Medicine, Great Al-Fateh University of Medical Sciences, Tripoli, Libya.
Indian Journal of Physiology and Pharmacology
|October 1, 1989
Summary
Libyan boys and girls aged 12-21 have established peak expiratory flow rate (PEFR) prediction formulas based on stature. Standing height is the best predictor of ventilatory capacity, with differences in girls linked to body mass index and obesity.
Area of Science:
- Pulmonary Physiology
- Pediatric Respiratory Health
- Anthropometry
Background:
- Pulmonary function testing is crucial for assessing respiratory health in adolescents.
- Establishing normative data for peak expiratory flow rate (PEFR) is essential for clinical and research purposes.
- Previous studies have explored factors influencing PEFR, but specific data for Libyan adolescents are limited.
Purpose of the Study:
- To determine prediction formulae for peak expiratory flow rate (PEFR) in Libyan boys and girls aged 12 to 21 years.
- To investigate the correlation between PEFR and various anthropometric parameters and age.
- To identify factors contributing to sex-based differences in PEFR prediction.
Main Methods:
- Cross-sectional study involving 578 boys and 527 girls aged 12-21 years.
- Measurement of peak expiratory flow rates (PEFR) using standard spirometry.
- Statistical analysis to determine correlations between PEFR and standing height, sitting height, body mass index, body surface area, and age.
Main Results:
- Prediction formulae derived: Boys: PEFR = 160 × Stature^1.87; Girls: PEFR = 130 × Stature^2.44.
- Significant correlations found between PEFR and standing height, sitting height, BMI, body surface area, and age in both sexes.
- Standing height was identified as the strongest predictor of ventilatory capacity; differences in girls' PEFR were linked to BMI and obesity.
Conclusions:
- The study provides specific PEFR prediction formulae for Libyan adolescents.
- Standing height is a reliable anthropometric index for estimating ventilatory capacity in this population.
- Observed sex differences in PEFR prediction are influenced by body mass index and potential obesity in girls.