Normal spirometric standards in young adult Indian population

Prakash Kumar Nayak; Sudeep Satpathy; Magna Manjareeka; Priyadarshini Samanta; Jayanti Mishra; Bipin Bihari Pradhan

doi:10.1515/jbcpp-2014-0063

Article

Normal spirometric standards in young adult Indian population

Prakash Kumar Nayak , Sudeep Satpathy , Magna Manjareeka , Priyadarshini Samanta , Jayanti Mishra and Bipin Bihari Pradhan

Published/Copyright: March 5, 2015

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From the journal Journal of Basic and Clinical Physiology and Pharmacology Volume 26 Issue 4

Abstract

Background: The appropriateness of spirometric reference value depends on all its features matching those of the person being assessed, like ethnicity, environment, nutrition, absence of disease, measurement protocol, as well as equipment used. The present study determines the lung function parameters in normal young healthy Indians and derives reliable prediction formulae for Indian population.

Methods: Computerized spirometry was done in 298 nonsmoking medical students of both genders studying in MKCG Medical College, Berhampur. All the data were statistically analyzed, and prediction equations for the young Indian population were derived.

Results: All the lung parameters showed significant gender difference. Height showed the greatest effect on the predicted value of FEV₁ and FVC in males and females. Height has the greatest effect on the predicted value of FEV₁% in females, whereas weight has the least effect. We formulated univariate and multivariate regression models for prediction of lung parameters in the young Indian adults. The predicted values of pulmonary function parameters for men were 4%–17% higher than most studies, except for Kashmiri population where it was 9% lower. For females, lung parameters were 1%–29% higher in comparison to study groups in other Indian studies. The lung parameters for males were found to be lower than Iranian and Caucasian population study, but higher than Pakistani population. For females, lung parameters were 3%–8% lower than Iranian and Caucasian population, but higher in comparison to Pakistani population.

Conclusions: The computed regression norms may be used to predict the spirometric values in young Indian population of similar age group as the study population.

Keywords: FVC; FEV1; FEV1%; Indian; spirometry

Corresponding author: Prakash Kumar Nayak, Department of Physiology, Kalinga Institute of Medical Sciences, KIIT University, Bhubaneswar, Odisha, India-751024, India, E-mail: nayakpk2010@gmail.com

Acknowledgments

The authors acknowledge the staff of the Department of Physiology, MKCG Medical College, Berhampur, for all their support and encouragement.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Received: 2014-6-2

Accepted: 2015-1-1

Published Online: 2015-3-5

Published in Print: 2015-7-1

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Articles in the same Issue

https://doi.org/10.1515/jbcpp-2014-0063

Keywords for this article

FVC; FEV1; FEV1%; Indian; spirometry