Abstract
Objectives:To 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.Methods:A 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.Results:The 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.Conclusion:It 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.
Highlights
Respiratory tract diseases are considered as common cause for both morbidity and mortality.[1]
The 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
The regression line in scatter plot of spirometry variables with independent variable like age, height and weight displayed a linear association as shown in Fig.[1] respectively
Summary
Respiratory tract diseases are considered as common cause for both morbidity and mortality.[1]. As Pakistan is a developing country with high prevalence of respiratory tract diseases. For accurate diagnosis of these respiratory diseases multiple lung function tests are used, among them spirometry is the gold standard one.[3]. Spirometry results give a clue about the level of morbidity and life expectancy. These results help the physician in making a decision regarding the nature of disease, its severity and probable response to medication.[4,5,6] Spirometry just give an overview of general respiratory health in the same way as the recording of blood pressure reveals about the
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