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The prevalence of lung diseases is increasing globally. Mortality, morbidity and respiratory disability are a growing health concern. The pulmonary function test is an accurate tool for detecting airway and lung abnormalities. Early diagnosis of respiratory disease is key to preventing mortality and morbidity. The current study has evaluated the relation of the anthropometric parameters and inspiratory parameters of pulmonary function test and also analyzed its behaviour over the growing age in Indian children. The current study included 2109 school-aged children aged 6 to 15. The height, weight, body mass index and body surface area were recorded. The spirometry was performed in accordance with the protocols. The parameters of the inspiratory flow volume loop were recorded. This study observed a good relation between the anthropometric parameters and inspiratory lung function parameters and the parameters were higher in males than in females. The behaviour of these parameters at various points of growing age was analyzed. This study revealed geographical, gender wise variation in the inspiratory parameters. The study also revealed different patterns of lung growth in boys and girls. Hence this study recommends to include inspiratory parameter assessment in the routine assessment of respiratory patients for early and accurate diagnosis of lung pathology in young children.

Background: The inspiratory parameters of pulmonary function test commonly used for various purposes in clinical practice including diagnosing airway obstruction. Expiratory portion of the flow volume loop of the pulmonary function test is studied in detail. The prediction equations for expiratory parameters are available for different population. However, the reference equation for inspiratory parameters is not available in Indian context. The current study derived the prediction equation for inspiratory parameters of pulmonary function test.Methods: The current study was carried out in school going 732 healthy girls and 1377 boys aged 6-15 years in India.  The children who meet the inclusion criteria were recruited in the study after detailed medical examination by registered medical practitioner. The lung function parameters were recorded by spirometry. The multivariate regression analysis was done to develop the prediction model.Results: The prediction equation for predicting inspiratory parameter were developed. This study revealed gender-wise and geographical variation in the inspiratory parameters. Hence this study recommends to derive gender wise prediction equations. The reference equations derived in this study can be used in population with similar background.Conclusions: Use of these equations for population having similar backgrounds will help for early and accurate diagnosis of the airway abnormalities in children. The inspiratory parameter assessment shall be included in the routine assessment of respiratory patient.