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. 2024 Oct 12;14(1):23878.
doi: 10.1038/s41598-024-73649-5.

Association between residential noise exposure and burnout among healthcare workers in Taiwan: a cross-sectional study

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Association between residential noise exposure and burnout among healthcare workers in Taiwan: a cross-sectional study

Yu-Ting Lin et al. Sci Rep. .

Abstract

Few studies have explored the association between residential noise exposure and burnout. In this study, we investigated the association between residential noise exposure and burnout prevalence among 5416 health-care workers in Taiwan from 2012 to 2017. Burnout was evaluated using the Mandarin version of the Copenhagen Burnout Inventory by considering both continuous and binary measures. We applied ordinary Kriging models to calculate the annual average residential noise exposure at an individual level. Multivariable linear regression models and logistic regression models were employed. Restricted cubic splines were used to explore dose-response relationships. The median age of the health-care workers was 31.5 years. In the multivariable linear regression models, exposure to residential noise (per 1 dBA) was associated with increases in personal burnout and work-related burnout scores by 1.59 ± 0.25 and 1.38 ± 0.20, respectively. In the multivariable logistic regression models, the adjusted odds ratios were 1.24 (95% confidence interval [CI]: 1.16, 1.32) for personal burnout and 1.19 (95% CI: 1.13, 1.26) for work-related burnout per 1-dBA increase in residential noise exposure. Linear dose-response associations of burnout with residential noise level were detected. Our findings suggest that exposure to residential noise may increase the risk of burnout among health-care workers.

Keywords: Burnout; Cross-sectional study; Healthcare workers; Mediation analysis; Residential noise exposure.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Adjusted odds ratios (ORs) for burnout status according to the annual average noise levels (dBA). Solid lines represent adjusted ORs based on restricted cubic splines for each variability scale with knots at the 10th (as a reference), 50th and 90th percentiles. Shaded areas represent 95% confidence intervals (CIs).
Fig. 2
Fig. 2
Association between residential noise exposure and personal- and work-related burnout in stratified analyses.

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