Model for predicting peak expiratory flow rate of Nigerian workers in a cement factory in Itori, Ogun State, Nigeria

Ismaila, S. O.; Akanbi, O. G.; Olaoniye, W.

Artykuł - szczegóły

Tytuł artykułu

Model for predicting peak expiratory flow rate of Nigerian workers in a cement factory in Itori, Ogun State, Nigeria

Autorzy

Ismaila S. O. , Akanbi O. G. , Olaoniye W.

Identyfikatory

Warianty tytułu

Języki publikacji

Abstrakty

The main aim of the study was to propose a model for predicting the peak expiratory flow rate (PEFR) of Nigerian workers in a cement factory. Sixty randomly selected non-smoker and healthy workers (30 in production sections, 30 in the administrative section of the factory) participated in the study. Their physical characteristics and PEFR were measured. Multiple correlations using SPSS version 16.0 were performed on the data. The values of PEFR, using the obtained model, were compared with the measured values using a two-tailed t test. There were positive correlations among age, height and PEFR. A prediction equation for PEFR based on age, height, weight and years of exposure (experience) was obtained with R2 = .843 (p < 0.001). The developed model will be useful for the management in determining PEFR of workers in the cement industry for possible medical attention.

Słowa kluczowe

peak expiratory flow rate lung-function respiratory disorders dust age height weight

produkcja cementu stan zdrowia maksymalny przepływ wydechowy

Wydawca

Taylor & Francis

Czasopismo

International Journal of Occupational Safety and Ergonomics

Rocznik

2015

Tom

Vol. 21, No. 4

Strony

547--550

Opis fizyczny

Bibliogr. 35 poz.

Twórcy

autor

Ismaila S. O.

ismailaso@funaab.edu.ng

Federal University of Agriculture, Abeokuta Nigeria

autor

Akanbi O. G.

University of Ibadan, Nigeria

autor

Olaoniye W.

University of Ibadan, Nigeria

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-3ddf5cd1-33e6-4b59-a977-4175e1813ba7