Predictors of pulmonary function test values for Pakistani children, aged 5-14 years

Area of Science:

• Pediatric Pulmonology
• Biostatistics
• Anthropometry

Background:

• Pulmonary function tests (PFTs) are crucial for assessing respiratory health in children.
• Establishing normative data for PFTs is essential for identifying abnormal lung function.
• Factors influencing PFTs in pediatric populations require ongoing investigation.

Purpose of the Study:

• To develop predictive models for key pulmonary function test values in children.
• To analyze the relationship between anthropometric measurements (age, height, weight) and PFTs in a pediatric cohort.
• To establish baseline PFT values for school-aged children in Pakistan.

Main Methods:

• A cross-sectional study involving 3,275 school-going children aged 5-14 years in Pakistan.
• Collection of demographic data (gender, age, height, weight) and PFT measurements: forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), and peak expiratory flow rate (PEFR).
• Application of simple and multiple regression models for predicting PFT values, with statistical analysis performed using SPSS 19.

Main Results:

• The study included 1,809 boys (55.2%) and 1,466 girls (44.8%), with a mean age of 10.27 years.
• Mean height, weight, FEV1, FVC, and PEFR were 137.37 cm, 30.44 kg, 1.56 L, 1.72 L, and 3.66 L/s, respectively.
• Age, height, and weight showed a significant linear relationship with PFT values (p<0.05), indicating they are strong predictors.

Conclusions:

• Pulmonary function test values in children are positively correlated with increases in age, height, and weight.
• The findings provide valuable reference data for pediatric respiratory health assessments.
• Predictive models based on anthropometric data can aid in the early detection of pulmonary abnormalities in children.