TY - JOUR PY - 2016// TI - Association between aircraft, road and railway traffic noise and depression in a large case-control study based on secondary data JO - Environmental research A1 - Seidler, Andreas A1 - Hegewald, Janice A1 - Seidler, Anna Lene A1 - Schubert, Melanie A1 - Wagner, Mandy A1 - Dröge, Patrik A1 - Haufe, Eva A1 - Schmitt, Jochen A1 - Swart, Enno A1 - Zeeb, Hajo SP - 263 EP - 271 VL - 152 IS - N2 - BACKGROUND: Few studies have examined the relationship between traffic noise and depression providing inconclusive results. This large case-control study is the first to assess and directly compare depression risks by aircraft, road traffic and railway noise.

METHODS: The study population included individuals aged ≥40 years that were insured by three large statutory health insurance funds and were living in the region of Frankfurt international airport. Address-specific exposure to aircraft, road and railway traffic noise in 2005 was estimated. Based on insurance claims and prescription data, 77,295 cases with a new clinical depression diagnosis between 2006 and 2010 were compared with 578,246 control subjects.

RESULTS: For road traffic noise, a linear exposure-risk relationship was found with an odds ratio (OR) of 1.17 (95% CI=1.10-1.25) for 24-h continuous sound levels ≥70dB. For aircraft noise, the risk estimates reached a maximum OR of 1.23 (95% CI=1.19-1.28) at 50-55dB and decreased at higher exposure categories. For railway noise, risk estimates peaked at 60-65dB (OR=1.15, 95% CI=1.08-1.22). The highest OR of 1.42 (95% CI=1.33-1.52) was found for a combined exposure to noise above 50dB from all three sources.

CONCLUSIONS: This study indicates that traffic noise exposure might lead to depression. As a potential explanation for the decreasing risks at high traffic noise levels, vulnerable people might actively cope with noise (e.g. insulate or move away).

Copyright © 2016 Elsevier Inc. All rights reserved.

Language: en

LA - en SN - 0013-9351 UR - http://dx.doi.org/10.1016/j.envres.2016.10.017 ID - ref1 ER -