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道路交通噪声对肥胖指标的影响:三个欧洲队列的观察性研究。

Impact of road traffic noise on obesity measures: Observational study of three European cohorts.

机构信息

Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK; Deep Medicine Programme, Oxford Martin School, University of Oxford, Oxford, UK; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain.

出版信息

Environ Res. 2020 Dec;191:110013. doi: 10.1016/j.envres.2020.110013. Epub 2020 Aug 15.

Abstract

BACKGROUND

Environmental stressors such as transport noise may contribute to development of obesity through increased levels of stress hormones, sleep deprivation and endocrine disruption. Epidemiological evidence supporting an association of road traffic noise with obesity markers is still relatively scant and confined to certain geographical regions. We aimed to examine the cross-sectional associations between road traffic noise and obesity markers in three large European cohorts involving nearly 500,000 individuals.

METHODS

Three population-based cohorts (UK Biobank, Lifelines, HUNT3) were established between 2006 and 2013 in the UK, the Netherlands and Norway respectively. For all three cohorts, residential 24-h road traffic noise (Lden) for 2009 was modelled from a standardised European noise assessment framework. Residential exposures to NO2 for 2007 and PM2.5 for 2010 were estimated from Europe-wide land use regression models. Obesity markers including body mass index and waist circumference were measured at recruitment. Obesity and central obesity status were subsequently derived. Regression models were fitted in each cohort, adjusting for a harmonised set of demographic and lifestyle covariates, with further adjustments for air pollution in the main model.

RESULTS

The main analyses included 412,934 participants of UK Biobank, 61,032 of Lifelines and 30,305 of HUNT3, with a mean age of 43-56 years and Lden ranging 42-89 dB(A) across cohorts. In UK Biobank, per 10 dB(A) higher of Lden: BMI was higher by 0.14kg/m2 (95%CI: 0.11-0.18), waist circumference higher by 0.27 cm (95%CI: 0.19-0.35), odds of obesity was 1.06 (95%CI: 1.04-1.08) and of central obesity was 1.05 (95%CI: 1.04-1.07). These associations were robust to most other sensitivity analyses but attenuated by further adjustment of PM2.5 or area-level socioeconomic status. Associations were more pronounced among women, those with low physical activity, higher household income or hearing impairment. In HUNT3, associations were observed for obesity or central obesity status among those exposed to Lden greater than 55 dB(A). In contrast, no or negative associations were observed in the Lifelines cohort.

CONCLUSIONS

This largest study to date providing mixed findings on impacts of long-term exposure to road traffic noise on obesity, which necessitates future analyses using longitudinal data to further investigate this potentially important epidemiological link.

摘要

背景

交通噪声等环境压力源可能通过增加应激激素、睡眠剥夺和内分泌干扰导致肥胖。支持道路交通噪声与肥胖标志物之间存在关联的流行病学证据仍然相对较少,并且仅限于某些地理区域。我们旨在检查三个大型欧洲队列中道路交通噪声与肥胖标志物之间的横断面关联,这些队列涉及近 50 万人。

方法

三个基于人群的队列(英国生物银行、生命线、HUNT3)分别于 2006 年至 2013 年在英国、荷兰和挪威建立。对于所有三个队列,2009 年的住宅 24 小时道路交通噪声(Lden)是根据标准化的欧洲噪声评估框架进行建模的。2007 年的住宅暴露于二氧化氮(NO2)和 2010 年的细颗粒物(PM2.5)是根据欧洲范围内的土地利用回归模型估计的。在招募时测量肥胖标志物,包括体重指数和腰围。随后得出肥胖和中心性肥胖状况。在每个队列中拟合回归模型,调整了一套协调的人口统计学和生活方式协变量,在主要模型中进一步调整了空气污染。

结果

主要分析包括英国生物银行的 412934 名参与者、生命线的 61032 名参与者和 HUNT3 的 30305 名参与者,平均年龄为 43-56 岁,Lden 范围为 42-89dB(A)。在英国生物银行中,Lden 每增加 10dB(A):体重指数增加 0.14kg/m2(95%CI:0.11-0.18),腰围增加 0.27cm(95%CI:0.19-0.35),肥胖的几率为 1.06(95%CI:1.04-1.08),中心性肥胖的几率为 1.05(95%CI:1.04-1.07)。这些关联在大多数其他敏感性分析中是稳健的,但在进一步调整 PM2.5 或地区社会经济地位后有所减弱。在女性、体力活动水平较低、家庭收入较高或听力受损的人群中,这些关联更为明显。在 HUNT3 中,暴露于 Lden 大于 55dB(A)的人群中观察到肥胖或中心性肥胖状态的关联。相比之下,生命线队列中没有观察到关联或负关联。

结论

这是迄今为止最大的研究,提供了关于长期暴露于道路交通噪声对肥胖影响的混合结果,这需要使用纵向数据进行进一步分析,以进一步研究这一潜在重要的流行病学联系。

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