2019
DOI: 10.12669/pjms.35.6.1212
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Factors affecting spirometry reference range in growing children

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-… Show more

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Cited by 7 publications
(6 citation statements)
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“…The correlations between spirometry parameters with height, weight, and age are well known. 30 However, they have been differently associated with predicted spirometry parameters. Higher weight coefficients for girls than boys have been reported in a few studies, 31 , 32 , 33 while others only account for height in both sexes.…”
Section: Discussionmentioning
confidence: 99%
“…The correlations between spirometry parameters with height, weight, and age are well known. 30 However, they have been differently associated with predicted spirometry parameters. Higher weight coefficients for girls than boys have been reported in a few studies, 31 , 32 , 33 while others only account for height in both sexes.…”
Section: Discussionmentioning
confidence: 99%
“…This leads to a belief that differences in PEFR values between the genders occurs due to differences in airways and lung size, lung capacity, and the strength of respiratory muscles. The height, age, and weight in this study correlate w i t h t h e P E F R v a l u e s f o u n d i n o t h e r s t u d i e s (5)(6)(7)15,(23)(24)(25)(26)(27)(28)(29)(30)(31). Height is the highest correlation factor.…”
Section: Discussionmentioning
confidence: 58%
“…7,8 Additionally, Age, and obesity influence lung function and intensified the harmful effects of air pollution on respiratory health. 2,9 The current study was conducted to highlight the impact of age, height, weight, and obesity on PEFR of inhabitants of chemical industries, who are exposed to chemicals and smoke on daily basis. Our study demonstrates a significant relationship between age and obesity and PEFR in workers in chemical industries.…”
Section: Discussionmentioning
confidence: 99%