Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District

Objective: The objective of this study was to study the peak expiratory flow rate (PEFR) in healthy school going children between 8 and 12 years in Ernakulum district and derive a regression equation to predict expected PEFR. Methods: A cross-sectional study was done in schools of Ernakulum among he...

Full description

Bibliographic Details
Main Author: Jomon Mathew John
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2018-01-01
Series:Medical Journal of Dr. D.Y. Patil Vidyapeeth
Subjects:
Online Access:http://www.mjdrdypv.org/article.asp?issn=2589-8302;year=2018;volume=11;issue=1;spage=3;epage=8;aulast=John
_version_ 1831633775542403072
author Jomon Mathew John
author_facet Jomon Mathew John
author_sort Jomon Mathew John
collection DOAJ
description Objective: The objective of this study was to study the peak expiratory flow rate (PEFR) in healthy school going children between 8 and 12 years in Ernakulum district and derive a regression equation to predict expected PEFR. Methods: A cross-sectional study was done in schools of Ernakulum among healthy children between 8 and 12 years of age. Pro formas and consent forms were distributed to schools who gave their consent for participating in this study. Eligible children were examined, anthropometric measures were taken, and PEFR values were recorded using a Mini-Wright peak flow meter. The best of the three recordings was taken to compare against each variable. Statistical analysis was carried out using statistical package, SPSS (version 22.0.0.0). Results: A total of 954 students between 8 and 12 years were studied, of which 482 were boys and 472 were girls. The scatter diagram for PEFR and age, height, weight, body mass index, and chest circumference for boys and girls suggests that there is a significant positive correlation between PEFR and the studied variables. Based on the multiple regression analysis, only age and height have a significant effect on PEFR for both males and females. The regression equation based on both height and age is PEFR = −150.290 + 1.811 (height) + 10.831 (age) for males and PEFR = −149.623 + 1.813 (height) + 8.329 (age) for females. Conclusion: Among different factors affecting PEFR, height and age correlate better with PEFR than the other variables studied. The derived regression equations can be used to predict the regional reference value.
first_indexed 2024-12-19T05:41:57Z
format Article
id doaj.art-e3e7a921d266422585e7aeac2f22dffd
institution Directory Open Access Journal
issn 2589-8302
2589-8310
language English
last_indexed 2024-12-19T05:41:57Z
publishDate 2018-01-01
publisher Wolters Kluwer Medknow Publications
record_format Article
series Medical Journal of Dr. D.Y. Patil Vidyapeeth
spelling doaj.art-e3e7a921d266422585e7aeac2f22dffd2022-12-21T20:33:59ZengWolters Kluwer Medknow PublicationsMedical Journal of Dr. D.Y. Patil Vidyapeeth2589-83022589-83102018-01-011113810.4103/MJDRDYPU.MJDRDYPU_20_17Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam DistrictJomon Mathew JohnObjective: The objective of this study was to study the peak expiratory flow rate (PEFR) in healthy school going children between 8 and 12 years in Ernakulum district and derive a regression equation to predict expected PEFR. Methods: A cross-sectional study was done in schools of Ernakulum among healthy children between 8 and 12 years of age. Pro formas and consent forms were distributed to schools who gave their consent for participating in this study. Eligible children were examined, anthropometric measures were taken, and PEFR values were recorded using a Mini-Wright peak flow meter. The best of the three recordings was taken to compare against each variable. Statistical analysis was carried out using statistical package, SPSS (version 22.0.0.0). Results: A total of 954 students between 8 and 12 years were studied, of which 482 were boys and 472 were girls. The scatter diagram for PEFR and age, height, weight, body mass index, and chest circumference for boys and girls suggests that there is a significant positive correlation between PEFR and the studied variables. Based on the multiple regression analysis, only age and height have a significant effect on PEFR for both males and females. The regression equation based on both height and age is PEFR = −150.290 + 1.811 (height) + 10.831 (age) for males and PEFR = −149.623 + 1.813 (height) + 8.329 (age) for females. Conclusion: Among different factors affecting PEFR, height and age correlate better with PEFR than the other variables studied. The derived regression equations can be used to predict the regional reference value.http://www.mjdrdypv.org/article.asp?issn=2589-8302;year=2018;volume=11;issue=1;spage=3;epage=8;aulast=JohnAsthmapeak expiratory flow rateregression equations
spellingShingle Jomon Mathew John
Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
Medical Journal of Dr. D.Y. Patil Vidyapeeth
Asthma
peak expiratory flow rate
regression equations
title Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
title_full Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
title_fullStr Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
title_full_unstemmed Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
title_short Regression Equations for Peak Expiratory Flow Rates for Children (8–12 years) in Ernakulam District
title_sort regression equations for peak expiratory flow rates for children 8 12 years in ernakulam district
topic Asthma
peak expiratory flow rate
regression equations
url http://www.mjdrdypv.org/article.asp?issn=2589-8302;year=2018;volume=11;issue=1;spage=3;epage=8;aulast=John
work_keys_str_mv AT jomonmathewjohn regressionequationsforpeakexpiratoryflowratesforchildren812yearsinernakulamdistrict