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School environment as predictor of teacher sick leave: data-linked prospective cohort study

Ervasti, J; Kivimäki, M; Kawachi, I; Subramanian, SV; Pentti, J; Oksanen, T; Puusniekka, R; ... Virtanen, M; + view all (2012) School environment as predictor of teacher sick leave: data-linked prospective cohort study. BMC Public Health , 12 , Article 770. 10.1186/1471-2458-12-770. Green open access

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Abstract

Poor indoor air quality (IAQ) and psychosocial problems are common in schools worldwide, yet longitudinal research on the issue is scarce. We examined whether the level of or a change in pupil-reported school environment (IAQ, school satisfaction, and bullying) predicts recorded sick leaves among teachers.

Type: Article
Title: School environment as predictor of teacher sick leave: data-linked prospective cohort study
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/1471-2458-12-770
Publisher version: http://dx.doi.org/10.1186/1471-2458-12-770
Language: English
Additional information: © 2012 Ervasti et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. PMCID: PMC3490775
Keywords: Air Pollution, indoor, bullying, confidence intervals, faculty, Finland, forecasting, humans, logistic models, odds ratio, prospective studies, questionnaires, schools, sick leave, ventilation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/1387367
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