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VOLUME 54 , ISSUE 1 ( January-March, 2012 ) > List of Articles
Sunil Kumar Chhabra, V.K. Vijayan, M. Rahman, V. Mittal, P.D. Singh
Keywords : Pulmonary function, Spirometry, Normals, Children, Delhi, Regression equations
Citation Information : Chhabra SK, Vijayan V, Rahman M, Mittal V, Singh P. Regression Equations for Spirometry in Children Aged 6 to 17 Years in Delhi Region. Indian J Chest Dis Allied Sci 2012; 54 (1):59-63.
License: CC BY-NC 4.0
Published Online: 16-06-2022
Copyright Statement: Copyright © 2012; The Author(s).
Background. Most of the studies carried out in India to develop regression equations for spirometry in children are now several years-to-decades old and had used equipment and measurement protocols that have since changed. Prediction equations using the current standardisation protocols for spirometry are not available. The lung health of the population may have changed too. Objective. To develop regression equations for spirometry for children aged 6 to 17 years of north Indian origin in Delhi region. Methods. School children of north Indian origin, as determined by mother tongue and parentage, aged 6 to 17 years were screened by a health questionnaire and physical examination and those found “normal” underwent spirometry according to the standardised procedure recommended by the American Thoracic Society/European Respiratory Society (ATS/ERS) task force in 2005. Pearson's correlation analysis was carried out to identify the predictor variables for spirometric parameters. Prediction equations were developed using the multiple linear regression procedure. The independent variables were entered in sequence of height, age and weight. R2, adjusted R2 and R2 change, standard errors of the estimate (SEE), and estimates of regression coefficients were obtained and the goodness of fit was examined. Results. Data was obtained in 365 boys and 305 girls. Forced vital capacity (FVC), forced expiratory volume in one second (FEV1), peak expiratory flow rate (PEFR), forced expiratory flow rate at 50% and 75% exhalation of vial capacity (F50 and F75) and mean forced expiratory flow rate over the middle 50% of the vital capacity (F25-75) showed moderate to strong correlations with age, height and weight in both boys and girls. In both genders, the equations explained very high variability of FVC, FEV1 and PEFR as shown by the R2 values. The explained variability for flow rates was lesser, with that for F75 being the least. Conclusions. Regression equations for spirometry variables for children of north Indian origin in Delhi region have been developed. These represent the first such effort from India after the publication of the ATS/ERS task force 2005 guidelines on standardisation of spirometry.