Military aircraft noise and drug administrations in psychiatric patients: Follow-up and in-depth case-time series analysis.
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BORIS DOI
Publisher DOI
PubMed ID
40255868
Description
Background
In a previous study, we demonstrated that military aircraft noise increases the short-term probability of on-demand drug administrations in patients in a psychiatric clinic located in close proximity to a military airfield. The aim of this article was to: (1) apply refined exposure assessment methods; (2) compare results for various noise exposure measures reflecting different assumptions about outdoor-indoor noise attenuation and explore possible effect thresholds; and (3) conduct an independent validation study with 1 year of more recent follow-up.Methods
We conducted noise measurements during 1 year at the clinic to validate the modeled noise exposure of hourly military aircraft noise (equivalent continuous sound pressure level, L Aeq [dB]). We then compared results from case-time series analyses between on-demand drug administration and military aircraft noise using modeled versus measured aircraft noise exposure, different censoring approaches for background noise, and explored a potential threshold using nonlinear exposure-response modeling.Results
There was a moderate (Pearson's r = 0.54) to strong (r = 0.65) correlation between modeled and measured aircraft noise levels, depending on the wind situation. Applying censoring at levels reflecting background noise in the range of 40-50 dB instead of censoring exposure at 20 dB resulted in higher effect estimates, but also larger uncertainty compared with the previous analysis (original analysis, censoring at 20 dB: odds ratio [OR] for sedative administration = 1.016 per 10 dB; realistic background analysis: OR = 1.036, 95% confidence interval [CI]: 0.994, 1.079). Additionally, we found indications of a nonlinear exposure-response relationship. Using measured instead of modeled aircraft noise exposure resulted in smaller effect estimates (modeled OR = 1.056, 95% CI: 0.970, 1.149; measured: 1.038, 95% CI: 0.983, 1.096). Analyses exclusively using new data from the year 2022 revealed almost identical results compared with the original analysis (2016-2021).Conclusion
Our results suggest that predicting indoor noise levels and the addition of informed background noise estimates improves specificity in the exposure assessment and likely provides more reliable exposure-response associations. With additional follow-up data, we could confirm our previous findings that loud noise events can have acute effects on psychiatric patients' sedative drug consumption.
In a previous study, we demonstrated that military aircraft noise increases the short-term probability of on-demand drug administrations in patients in a psychiatric clinic located in close proximity to a military airfield. The aim of this article was to: (1) apply refined exposure assessment methods; (2) compare results for various noise exposure measures reflecting different assumptions about outdoor-indoor noise attenuation and explore possible effect thresholds; and (3) conduct an independent validation study with 1 year of more recent follow-up.Methods
We conducted noise measurements during 1 year at the clinic to validate the modeled noise exposure of hourly military aircraft noise (equivalent continuous sound pressure level, L Aeq [dB]). We then compared results from case-time series analyses between on-demand drug administration and military aircraft noise using modeled versus measured aircraft noise exposure, different censoring approaches for background noise, and explored a potential threshold using nonlinear exposure-response modeling.Results
There was a moderate (Pearson's r = 0.54) to strong (r = 0.65) correlation between modeled and measured aircraft noise levels, depending on the wind situation. Applying censoring at levels reflecting background noise in the range of 40-50 dB instead of censoring exposure at 20 dB resulted in higher effect estimates, but also larger uncertainty compared with the previous analysis (original analysis, censoring at 20 dB: odds ratio [OR] for sedative administration = 1.016 per 10 dB; realistic background analysis: OR = 1.036, 95% confidence interval [CI]: 0.994, 1.079). Additionally, we found indications of a nonlinear exposure-response relationship. Using measured instead of modeled aircraft noise exposure resulted in smaller effect estimates (modeled OR = 1.056, 95% CI: 0.970, 1.149; measured: 1.038, 95% CI: 0.983, 1.096). Analyses exclusively using new data from the year 2022 revealed almost identical results compared with the original analysis (2016-2021).Conclusion
Our results suggest that predicting indoor noise levels and the addition of informed background noise estimates improves specificity in the exposure assessment and likely provides more reliable exposure-response associations. With additional follow-up data, we could confirm our previous findings that loud noise events can have acute effects on psychiatric patients' sedative drug consumption.
Date of Publication
2025-06
Publication Type
Article
Subject(s)
Keyword(s)
Aircraft noise
•
Exposure assessment
•
Mental health
•
Psychiatry
Language(s)
en
Contributor(s)
Wicki, Benedikt | |
Vienneau, Danielle | |
Schäffer, Beat | |
Pervilhac, Charlotte |
Series
Environmental Epidemiology
Publisher
Lippincott, Williams & Wilkins
ISSN
2474-7882
Access(Rights)
restricted