Acute effects of military aircraft noise on sedative and analgesic drug administrations in psychiatric patients: A case-time series analysis.

Wicki, Benedikt; Vienneau, Danielle; Schäffer, Beat; Müller, Thomas J; Raub, Ulrich; Widrig, Jonin; Pervilhac, Charlotte; Röösli, Martin (2024). Acute effects of military aircraft noise on sedative and analgesic drug administrations in psychiatric patients: A case-time series analysis. Environment international, 185, p. 108501. Elsevier 10.1016/j.envint.2024.108501

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BACKGROUND

Existing evidence suggests that psychiatric patients are highly noise sensitive, and that noise exposure increases the risk for adverse mental health outcomes, such as psychiatric hospitalizations and even suicide. To investigate acute effects of noise in this vulnerable population, we assessed short-term associations between fighter jet noise and on-demand sedative and analgesic drug administrations in a psychiatric clinic located close to a military airfield in Switzerland.

METHODS

We applied a case time series analysis with an hourly time resolution using distributed-lag models. Analysis was adjusted for long-term and seasonal trends, day of week, time of day, time-varying weather conditions and the week of stay. Noise exposure (hourly A-weighted equivalent continuous sound pressure levels (LAeq)) was modelled using detailed flight plans and noise footprints for different fighter jet and route combinations. Outcome data were available from the clinic's records.

OUTCOMES

During the study period (06/2016-12/2021), 23,486 flights occurred. 5,968 clinical stays with a median length of 41 days (IQR: 28d, 50d) were recorded. The odds ratio (OR) for medication administration over the lag period of 3 hours after exposure was 1.016 (95 %CI: 1.006, 1.026) per 10 dB LAeq for sedatives and 1.032 (95 %CI: 1.016, 1.048) per 10 dB for analgesics. Effects were larger in multimorbid patients.

INTERPRETATION

Case time series analysis is a novel method to investigate transient associations in observational data while minimizing risk of bias. Using an objectively recorded outcome measure, our results demonstrate that psychiatric patients are a vulnerable population, in which noise exposure can lead to symptom exacerbations and adverse events.

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6 Citations in Scopus

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