Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
ISGlobal, Barcelona Institute for Global Health; University Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Publica, Madrid, Spain; Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain.
Environ Int. 2020 Oct;143:105960. doi: 10.1016/j.envint.2020.105960. Epub 2020 Jul 15.
Noise exposure is affecting health-related quality of life (HRQoL). There are many modelling approaches linking specific noise sources with single health-related outcomes. However, an integrated approach is missing taking into account measured levels as well as noise annoyance and sensitivity and assessing their independent association with HRQoL domains. Therefore, we investigated the predictive association of most common transportation noise sources (aircraft, railway and road traffic) as well as transportation noise annoyance and noise sensitivity with HRQoL using data from SAPALDIA (Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults). We assessed 2035 subjects, who participated in the second and third wave of SAPALDIA (3&4) and had complete information on exposure, outcome and covariates. At SAPALDIA3, we calculated annual means (Lden) of source-specific transportation noise exposure at the most exposed facade of participant's dwelling floor height. Participants reported noise annoyance on the widely used 11-point ICBEN scale and answered to 10 questions assessing individual noise sensitivity. To assess the potentially predictive effect of these noise exposures, HRQoL was assessed about 8 years later (SAPALDIA4) using the SF-36. We performed predictive multiple quantile regression models to elucidate associations of noise parameters measured at SAPALDIA3 with median SF-36 scores at SAPALDIA4. Source-specific transportation noise exposures showed few yet not consistent associations with HRQoL scores. We observed statistically significant negative associations of transportation noise annoyance with HRQoL scores covering mental health components (adjusted difference in SF-36 mental health score between highest vs. lowest annoyance tertile: -2.54 (95%CI: -3.89; -1.20). Noise sensitivity showed strongest and most consistent associations with HRQoL scores covering both general and mental health components (adjusted difference in SF-36 scores between highest vs. lowest sensitivity tertile: Mental health -5.96 (-7.57; -4.36); general health -5.16 (-7.08; -3.24)). Within all noise parameters, we predominantly observed negative associations of noise sensitivity with HRQoL attaining a magnitude of potential clinical relevance. This implies that factors other than transportation noise exposure may be relevant for this exposure-outcome relation. Nonetheless, transportation noise annoyance showed relevant associations with mental health components, indicating a negative association of transportation noise with HRQoL.
噪声暴露正在影响与健康相关的生活质量(HRQoL)。有许多建模方法将特定噪声源与单一健康相关结果联系起来。然而,缺少一种综合方法,该方法需要考虑测量水平以及噪声烦恼和敏感性,并评估它们与 HRQoL 领域的独立关联。因此,我们使用来自 SAPALDIA(瑞士成人空气污染与肺部和心脏疾病队列研究)的数据,调查了最常见的交通噪声源(飞机、铁路和道路交通)以及交通噪声烦恼和噪声敏感性与 HRQoL 的预测关联。我们评估了 2035 名受试者,他们参加了 SAPALDIA 的第二和第三波(3&4),并且在暴露、结果和协变量方面都有完整的信息。在 SAPALDIA3 中,我们计算了参与者居住楼层高度的最暴露立面的特定交通噪声源的年平均值(Lden)。参与者使用广泛使用的 11 点 ICBEN 量表报告噪声烦恼,并回答了 10 个问题,评估了个体噪声敏感性。为了评估这些噪声暴露的潜在预测效果,大约 8 年后(SAPALDIA4)使用 SF-36 评估了 HRQoL。我们进行了预测性多分位数回归模型,以阐明 SAPALDIA3 测量的噪声参数与 SAPALDIA4 中中位数 SF-36 评分之间的关联。特定交通噪声暴露与 HRQoL 评分的关联很少,且不一致。我们观察到交通噪声烦恼与 HRQoL 评分呈统计学显著负相关,涵盖心理健康成分(最高与最低烦恼三分位之间 SF-36 心理健康评分的调整差异:-2.54(95%CI:-3.89;-1.20))。噪声敏感性与涵盖一般和心理健康成分的 HRQoL 评分之间的关联最强且最一致(最高与最低敏感性三分位之间 SF-36 评分的调整差异:心理健康-5.96(-7.57;-4.36);一般健康-5.16(-7.08;-3.24))。在所有噪声参数中,我们主要观察到噪声敏感性与 HRQoL 的负相关,达到了潜在临床相关的程度。这意味着除了交通噪声暴露之外,其他因素可能与这种暴露-结果关系有关。尽管如此,交通噪声烦恼与心理健康成分仍存在相关,表明交通噪声与 HRQoL 呈负相关。