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Exposure to surrounding greenness and natural-cause and cause-specific mortality in the ELAPSE pooled cohort
Environment International ( IF 10.3 ) Pub Date : 2022-06-11 , DOI: 10.1016/j.envint.2022.107341
Ainhoa Bereziartua 1 , Jie Chen 1 , Kees de Hoogh 2 , Sophia Rodopoulou 3 , Zorana J Andersen 4 , Tom Bellander 5 , Jørgen Brandt 6 , Daniela Fecht 7 , Francesco Forastiere 8 , John Gulliver 9 , Ole Hertel 10 , Barbara Hoffmann 11 , Ulla Arthur Hvidtfeldt 12 , W M Monique Verschuren 13 , Karl-Heinz Jöckel 14 , Jeanette T Jørgensen 4 , Klea Katsouyanni 15 , Matthias Ketzel 16 , Norun Hjertager Krog 17 , Boel Brynedal 18 , Karin Leander 19 , Shuo Liu 4 , Petter Ljungman 20 , Elodie Faure 21 , Patrik K E Magnusson 22 , Gabriele Nagel 23 , Göran Pershagen 5 , Annette Peters 24 , Ole Raaschou-Nielsen 25 , Matteo Renzi 26 , Debora Rizzuto 27 , Evangelia Samoli 3 , Yvonne T van der Schouw 28 , Sara Schramm 29 , Gianluca Severi 30 , Massimo Stafoggia 31 , Maciej Strak 32 , Mette Sørensen 33 , Anne Tjønneland 34 , Gudrun Weinmayr 23 , Kathrin Wolf 35 , Emanuel Zitt 36 , Bert Brunekreef 1 , Gerard Hoek 1
Affiliation  

Background

The majority of studies have shown higher greenness exposure associated with reduced mortality risks, but few controlled for spatially correlated air pollution and traffic noise exposures. We aim to address this research gap in the ELAPSE pooled cohort.

Methods

Mean Normalized Difference Vegetation Index (NDVI) in a 300-m grid cell and 1-km radius were assigned to participants’ baseline home addresses as a measure of surrounding greenness exposure. We used Cox proportional hazards models to estimate the association of NDVI exposure with natural-cause and cause-specific mortality, adjusting for a number of potential confounders including socioeconomic status and lifestyle factors at individual and area-levels. We further assessed the associations between greenness exposure and mortality after adjusting for fine particulate matter (PM2.5), nitrogen dioxide (NO2) and road traffic noise.

Results

The pooled study population comprised 327,388 individuals who experienced 47,179 natural-cause deaths during 6,374,370 person-years of follow-up. The mean NDVI in the pooled cohort was 0.33 (SD 0.1) and 0.34 (SD 0.1) in the 300-m grid and 1-km buffer. In the main fully adjusted model, 0.1 unit increment of NDVI inside 300-m grid was associated with 5% lower risk of natural-cause mortality (Hazard Ratio (HR) 0.95 (95% CI: 0.94, 0.96)). The associations attenuated after adjustment for air pollution [HR (95% CI): 0.97 (0.96, 0.98) adjusted for PM2.5; 0.98 (0.96, 0.99) adjusted for NO2]. Additional adjustment for traffic noise hardly affected the associations. Consistent results were observed for NDVI within 1-km buffer. After adjustment for air pollution, NDVI was inversely associated with diabetes, respiratory and lung cancer mortality, yet with wider 95% confidence intervals. No association with cardiovascular mortality was found.

Conclusions

We found a significant inverse association between surrounding greenness and natural-cause mortality, which remained after adjusting for spatially correlated air pollution and traffic noise.



中文翻译:

ELAPSE 汇总队列中暴露于周围绿化以及自然原因和特定原因死亡率的情况

背景

大多数研究表明,较高的绿色暴露与死亡风险降低相关,但很少有研究对空间相关的空气污染和交通噪音暴露进行控制。我们的目标是解决 ELAPSE 汇总队列中的这一研究空白。

方法

将 300 米网格单元和 1 公里半径内的平均归一化植被指数 (NDVI) 分配给参与者的基线家庭地址,作为周围绿化暴露的衡量标准。我们使用 Cox 比例风险模型来估计 NDVI 暴露与自然原因和特定原因死亡率的关联,并调整了一些潜在的混杂因素,包括个人和地区层面的社会经济地位和生活方式因素。在调整细颗粒物 (PM 2.5 )、二氧化氮 (NO 2 ) 和道路交通噪音后,我们进一步评估了绿色暴露与死亡率之间的关联。

结果

汇总研究人群包括 327,388 人,在 6,374,370 人年的随访期间,有 47,179 人自然死亡。在 300 米网格和 1 公里缓冲区中,合并队列中的平均 NDVI 分别为 0.33 (SD 0.1) 和 0.34 (SD 0.1)。在主要的完全调整模型中,300 米网格内 NDVI 增量 0.1 单位与自然原因死亡风险降低 5% 相关(风险比 (HR) 0.95 (95% CI: 0.94, 0.96))。空气污染调整后,相关性减弱 [HR (95% CI):0.97 (0.96, 0.98),针对 PM 2.5进行调整;0.98 (0.96, 0.99) 针对 NO 2进行调整]。对交通噪音的额外调整几乎不会影响协会。在 1 公里缓冲区内观察到 NDVI 的结果一致。调整空气污染后,NDVI 与糖尿病、呼吸道疾病和肺癌死亡率呈负相关,但 95% 置信区间更宽。未发现与心血管死亡率相关。

结论

我们发现周围绿化度与自然原因死亡率之间存在显着的负相关关系,在对空间相关的空气污染和交通噪音进行调整后,这种关系仍然存在。

更新日期:2022-06-11
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