Table of Contents
International Scholarly Research Notices
Volume 2017 (2017), Article ID 8985067, 7 pages
Research Article

Predictive Regression Equations of Flowmetric and Spirometric Peak Expiratory Flow in Healthy Moroccan Adults

1Centre d’Etudes Doctorales des Sciences de la Vie et de la Santé (CEDOC SVS), Faculty of Medicine and Pharmacy, UM5, Rabat, Morocco
2Center of Tuberculosis and Lung Diseases, SRES, Tetouan, Morocco
3Regional Hospital Center, Tetouan, Morocco
4Faculty of Medicine and Pharmacy, UM5, Rabat, Morocco
5Lung Function Department, Moulay Youssef University Hospital, Rabat, Morocco
6Pulmonology Department, Moulay Youssef University Hospital, Rabat, Morocco

Correspondence should be addressed to Khalid Bouti

Received 6 February 2017; Revised 6 March 2017; Accepted 20 March 2017; Published 30 March 2017

Academic Editor: Nikolaos G. Koulouris

Copyright © 2017 Khalid Bouti et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Introduction. PEF has never been characterized among healthy Moroccan adults. The objective of this study is to describe the values of PEF among healthy Moroccan adults, to study its relationship with anthropometric parameters (gender, age, height, and weight), to compare spirometric and flowmetric PEF, to establish the prediction equations for PEF, and to study the correlation between PEF and FEV1. Methods. Cross-sectional study conducted between May and June 2016. It involved healthy nonsmoking volunteers living in Tetouan, Morocco, gathered through a mobile stand realization of spirometry and peak flow measurements. Results. Our final sample concerned 313 adults (143 men and 170 women). For both men and women, age and height were the main determinants of PEF, and a positive correlation was found between PEF and FEV1. Conclusion. Our study has established the PEF predictive equations in the Moroccan adult population. Our results allow us to conclude that the PEF can be a reliable alternative of FEV1 in centers not equipped with spirometry.