98%
921
2 minutes
20
Introduction: Exposure to road traffic noise has been reported to be associated with depression in many epidemiological studies, but the association between noise frequency spectrum and depression remains unclear. This community-based study investigated the associations between road traffic noise exposure and its frequency components with prevalent depression.
Methods: A total of 3,191 residents living in Taichung who participated in the Taiwan Biobank between 2010 and 2017, were included as study participants. The land-use regression models were used to evaluate individual annual average values of A-weighted equivalent sound level over 24 h (L) and particulate matter with an aerodynamic diameter <2.5 μm (PM) using the geographic information system. Multiple logistic regression was applied to estimate the odds ratios (ORs) for depression after adjusting for potential risk factors and PM.
Results: An interquartile range increase in L at full frequency (4.7 dBA), 1,000 Hz (5.2 dB), and 2,000 Hz (4.8 dB) was significantly associated with an elevated risk for depression with ORs of 1.62 (95% confidence interval [CI]: 1.03, 2.55), 1.58 (95% CI: 1.05, 2.37), and 1.58 (95% CI:1.03, 2.43), respectively, by controlling for PM. The high-exposure group (≥3rd quartile median of noise levels) at full frequency, 1,000 Hz, and 2,000 Hz had an increased risk for depression with ORs of 2.65 (95% CI: 1.16-6.05), 2.47 (95% CI: 1.07-5.70), and 2.60 (95% CI: 1.10-6.12), respectively, compared with the reference group (<1st quartile of noise levels) after adjustment for PM. Significant exposure-response trends were observed between the prevalent depression and noise exposure by quartiles at full frequency, 1,000 Hz, and 2,000 Hz (all < 0.05).
Conclusion: Exposure to road traffic noise may be associated with an increased prevalence of depression, particularly at 1,000 and 2,000 Hz.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911801 | PMC |
http://dx.doi.org/10.3389/fpubh.2023.1116345 | DOI Listing |
J Neural Transm (Vienna)
September 2025
Parkinson's Foundation Centre of Excellence, King's College Hospital, Denmark Hill, London, SE5 9RS, UK.
Parkinson's disease patients are at increased risk of road traffic and car accidents and those with excessive daytime sleepiness are specially susceptible. Abnormal scores on the Epworth Sleepiness Scale predicts risk for driving-related somnolence which may cause road traffic accidents in driving patients as many such patients declare dozing of while in a car. Our study estimates that over 40% of patients with daytime somnolence have risks of dozing off in a car.
View Article and Find Full Text PDFJ Safety Res
September 2025
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Johns Hopkins Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. Electronic address:
Background: An estimated 44,680 people died in motor-vehicle crashes in the United States in 2024. A disproportionate share of these deaths involved young people. In 2023 alone, these crashes cost the U.
View Article and Find Full Text PDFJ Safety Res
September 2025
Department of Civil & Environmental Engineering, The University of Tennessee, Knoxville, United States. Electronic address:
Introduction: Pedestrian safety is a growing concern in the United States transportation sector, with around 7,500 pedestrian crash fatalities reported in the United States in recent years. Pedestrians are at an even higher risk of crashes at night due to limited visibility and alcohol impairment of the drivers or pedestrians. The U.
View Article and Find Full Text PDFJ Safety Res
September 2025
Center of Road Engineering and Environment, Malaysian Institute of Road Safety Research, 43000 Kajang, Selangor, Malaysia. Electronic address:
Introduction: Driver distraction is becoming increasingly frequent while driving, with a notable portion of traffic crashes linked to distraction, often due to cellphone use. States have enacted varying levels of policies, including partial and full handheld bans, texting bans, and their combinations to target distracted driving. Existing research is limited in terms of both geographical area and time period, and do not account for whether cellphone distraction contributed directly to crash incidents.
View Article and Find Full Text PDFJ Safety Res
September 2025
Zachry Department of Civil and Environmental Engineering, Texas A&M University, USA.
Introduction: Pedestrian safety has become a critical concern with the rising global population of older adults. Older pedestrians face higher crash risks due to age-related physical limitations, yet road infrastructure often fails to address their specific needs. Most studies treat older adults as a single group, overlooking variations in mobility and behavior.
View Article and Find Full Text PDF