Prediction of dropout from respiratory symptoms and airflow limitation in a longitudinal respiratory study | Zendy

Vidar Søyseth | Zendy; Helle Johnsen | Zendy; Johny Kongerud | Zendy

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Prediction 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.

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