Department of Psychology, Umeå University, S-90187 Umeå, Sweden.
Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Norrlands universitetssjukhus, S-90187 Umeå, Sweden.
Environ Res. 2018 Oct;166:334-339. doi: 10.1016/j.envres.2018.06.008. Epub 2018 Jun 14.
There is growing evidence for a negative impact of traffic-related air pollution on risk of dementia. However, the contribution of noise exposure to this association has been rarely examined.
We aimed to investigate the individual and combined effect of noise and air pollution on risk of dementia.
Data on dementia incidence over a 15 year period was obtained from the Betula project, a longitudinal study on health and ageing. Estimates of annual mean levels of nitrogen oxides (NO) at the participants' residential address were obtained using a land-use regression model. Modelled data provided road traffic noise levels (Leq. 24 h) at the participants' residential address at baseline. Cox proportional hazard regression was used to calculate hazard ratios (HR).
Of 1721 participants at baseline, 302 developed dementia during the follow up period. Exposure to noise levels (Leq. 24 h) > 55 dB had no significant effect on dementia risk (HR 0.95; CI: 0.57, 1.57). Residing in the two highest quartiles of NO exposure was associated with an increased risk of dementia. The risk associated with NO was not modified by adjusting for noise. Moreover, we found no significant interaction effects between NO and road traffic noise on dementia risk.
We found no evidence that exposure to road traffic noise, either independently or in combination with traffic air pollution, was associated with risk of dementia in our study area. Our results suggest that pollution should be considered the main component in the association between traffic related exposures and dementia.
越来越多的证据表明,交通相关的空气污染对痴呆风险有负面影响。然而,噪声暴露对这种关联的贡献很少被研究过。
我们旨在研究噪声和空气污染对痴呆风险的单独和联合作用。
在为期 15 年的时间里,从贝图拉项目中获得了关于痴呆发病率的数据,该项目是一项关于健康和衰老的纵向研究。使用基于土地利用的回归模型获得参与者居住地址的年平均氮氧化物(NO)水平估计值。在基线时,使用模型数据提供参与者居住地址的道路交通噪声水平(Leq. 24 小时)。使用 Cox 比例风险回归计算危险比(HR)。
在基线时的 1721 名参与者中,有 302 人在随访期间患上了痴呆症。暴露于噪声水平(Leq. 24 小时)> 55dB 对痴呆风险没有显著影响(HR 0.95;CI:0.57,1.57)。居住在 NO 暴露最高的两个四分位数与痴呆风险增加相关。通过调整噪声,NO 暴露的风险没有改变。此外,我们没有发现 NO 和道路交通噪声之间对痴呆风险的交互作用效应有统计学意义。
我们没有发现暴露于道路交通噪声,无论是单独还是与交通空气污染相结合,与我们研究区域的痴呆风险相关的证据。我们的结果表明,在交通相关暴露与痴呆之间的关联中,污染应被视为主要因素。