• Sara Sadiq, Nadeem Ahmed Rizvi, Fahad Khalid Soleja, and Muaz Abbasi.
• Sara Sadiq, MBBS, M.Phil. Department of Physiology, CMH Institute of Medical Sciences, Bahawalpur, Pakistan.
• Pak J Med Sci. 2019 Nov 1; 35 (6): 158715911587-1591.

ObjectivesTo find out the association of weight, height and age with spirometry variables and to generate a regression equation by taking weight as an independent variable beside age and height among children and adolescents of Karachi.MethodsA modified form of ISSAC questionnaire was used. The spirometry variables recorded were Forced vital capacity (FVC), Forced expiratory volume in 1 second (FEV1), FEV1/FVC, Peak expiratory flow rate (PEF), Forced expiratory flow between 25% and 75% expired volume (FEF25-75). A person's correlation coefficient among boys and girls were calculated for all spirometry variable considering age, height and weight as independent variables. The linear regression models were calculated.ResultsThe results reported a linear correlation of lung function variables with all three independent variables (i.e. p-value = 0.000), in which age and height manifested a strong positive correlation while weight reported a moderately significant correlation. All spirometry variables such as FVC, FEV1, PEF and FEF25-75 reported a significant coefficient of dependency and coefficient of correlation individually with age, height and weight.ConclusionIt is concluded that beside age, height and weight both also have significant correlation with lung volumes so these should be taken into account when using spirometry as a diagnostic test.Copyright: © Pakistan Journal of Medical Sciences.

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