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Am J Ind Med ; 63(5): 417-428, 2020 05.
Article in English | MEDLINE | ID: mdl-32154609

ABSTRACT

BACKGROUND: Asthma-related health outcomes are known to be associated with indoor moisture and renovations. The objective of this study was to estimate the frequency of these indoor environmental quality (IEQ) factors in healthcare facilities and their association with asthma-related outcomes among workers. METHODS: New York City healthcare workers (n = 2030) were surveyed regarding asthma-related symptoms, and moisture and renovation factors at work and at home during the last 12 months. Questions for workplace moisture addressed water damage (WD), mold growth (MG), and mold odor (MO), while for renovations they addressed painting (P), floor renovations (FR), and wall renovations (WR). Regression models were fit to examine associations between work and home IEQ factors and multiple asthma-related outcomes. RESULTS: Reports of any moisture (n = 728, 36%) and renovations (n = 1412, 70%) at work were common. Workplace risk factors for asthma-related outcomes included the moisture categories of WD by itself, WD with MO (without MG), and WD with MG and MO, and the renovation category with the three factors P, FR, and WR. Reports of home IEQ factors were less frequent and less likely to be associated with health outcomes. Data analyses suggested that MG and/or MO at work and at home had a synergistic effect on the additive scale with a symptom-based algorithm for bronchial hyperresponsiveness. CONCLUSIONS: The current study determined that moisture and renovation factors are common in healthcare facilities, potentially putting workers at risk for asthma-related outcomes. More research is needed to confirm these results, especially prospective studies.


Subject(s)
Air Pollution, Indoor/analysis , Asthma, Occupational/etiology , Health Personnel/statistics & numerical data , Occupational Exposure/analysis , Workplace/statistics & numerical data , Adult , Air Pollution, Indoor/adverse effects , Female , Hospital Design and Construction/statistics & numerical data , Humans , Humidity/adverse effects , Male , Middle Aged , New York City , Occupational Exposure/adverse effects , Regression Analysis , Risk Factors
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