Абстрактный

PFT Prediction Equations in Rural and Urban School Children: Need for Separate Equations

Thakare AE*, VD Tajne, and Sandeep M Hulke

Pulmonary Function Test is very useful and important tool for diagnosis, assessment of respiratory system’s functional status. For this purpose there was need of deriving prediction equations for evaluation and under-standing of the Pulmonary Function Test parameters. Present study highlights prediction equation for Pulmonary Function Test parameters among rural and urban school children. Total 440 school children (220 rural & 220 urban) were subjected to measurement of anthropometric and Pulmonary Function Test parameters. Pulmonary Function Test assessment done with MIR SPIROLAB II. The data was analysed using biostatic software SPSS ver 16. Present study observed better correlation between different anthropometric parameters like age, height, weight, arm span and Body Surface Area with Pulmonary Function Test parameters like Forced Vital Capacity, Forced Expiratory Volume in one second and Peak Expiratory Flow Rate in both rural and urban children..Also it derived prediction equation in both rural and urban school children. Not only significantly different anthropometric parameters predict Pulmonary Function Test in rural and urban children but also different prediction equations were derived from this study.