Open AccessPrediction of dropout from respiratory symptoms and airflow limitation in a longitudinal respiratory study
Author(s) -
Vidar Søyseth,
Helle Johnsen,
Johny Kongerud
Publication year - 2008
Publication title -
scandinavian journal of work, environment and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.1229
Subject(s) - hazard ratio , medicine , asymptomatic , dropout (neural networks) , confidence interval , spirometry , respiratory system , airflow , longitudinal study , vital capacity , proportional hazards model , norwegian , physical therapy , demography , lung function , lung , diffusing capacity , asthma , sociology , mechanical engineering , linguistics , philosophy , pathology , machine learning , computer science , engineering
This study investigated the possibility that employees reporting respiratory symptoms were more likely than asymptomatic workers to dropout of a respiratory study carried out in Norwegian smelters.