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Allostatic Load Model Associated with Indoor Environmental Quality and Sick Building Syndrome among Office Workers

This study investigates whether indoor environmental quality (IEQ) influences allostatic load (AL) and whether AL can be a predictor for sick building syndrome (SBS). We also assessed and compared the associations between AL and SBS versus 8-hydroxydeoxyguanosine (8-OHdG) and SBS. A total of 115 off...

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Detalles Bibliográficos
Autores principales: Jung, Chien-Cheng, Liang, Hsiu-Hao, Lee, Hui-Ling, Hsu, Nai-Yun, Su, Huey-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997416/
https://www.ncbi.nlm.nih.gov/pubmed/24759685
http://dx.doi.org/10.1371/journal.pone.0095791
Descripción
Sumario:This study investigates whether indoor environmental quality (IEQ) influences allostatic load (AL) and whether AL can be a predictor for sick building syndrome (SBS). We also assessed and compared the associations between AL and SBS versus 8-hydroxydeoxyguanosine (8-OHdG) and SBS. A total of 115 office workers from 21 offices completed self-reported SBS questionnaires, and provided 11 biomarkers for their AL. Multiple linear regressions and logistic regression analysis were applied to examine the correlations between IEQ and AL or 8-OHdG and between AL or 8-OHdG and SBS, respectively. Our data revealed that the neuroendocrine system was correlated with CO(2), the difference between indoor and outdoor CO(2) levels (dCO(2)), and the indoor-outdoor ratio of CO(2) (CO(2) I/O). Metabolic system effects were associated with illumination. The relationships between illumination, CO(2), dCO(2), CO(2) I/O and 8-OHdG were consistent with those and AL in specific systems. Furthermore, we found that risks for SBS syndromes were related with neuroendocrine and metabolic system of the AL. 8-OHdG was associated with eye dryness or irritation, eye tiredness and vomiting. We conclude that IEQ significantly influences AL and that AL can be a predictor for reporting SBS with information on system-specific effects.