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城市绿色和蓝色空间与加速衰老的关联:英国生物银行的一项队列研究。

Association of urban green and blue space with accelerated ageing: A cohort Study in the UK Biobank.

作者信息

Wang YiNi, Shi XinYu, Yang Fei, Wang ShengYuan, Han TianShu, Ma Kun

机构信息

Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, Heilongjiang 150081, PR China.

Department of Occupational Health, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, Heilongjiang 150081, PR China.

出版信息

Ecotoxicol Environ Saf. 2025 Jan 15;290:117458. doi: 10.1016/j.ecoenv.2024.117458. Epub 2024 Dec 18.

Abstract

OBJECTIVE

We investigated the associations between urban green and blue spaces and the incidence of accelerated ageing, which have rarely been studied.

METHODS

Analyzed UK Biobank data (2006-2010) on 440,785 participants, focusing on urban green and blue space (UGBS). General linear models and logistics models assessed links between UGBS and accelerated ageing (Klemera-Doubal method, telomere length and frailty). Mediation analysis examined the role of pollution and other factors.

RESULTS

After controlling for random effects and various types of covariates, we found that 1) populations with higher levels of UGBS exposure are associated with accelerated ageing and slowing down; 2) UGBS has the greatest impact on accelerated ageing within a 1000-m street network buffer distance; 3) Participants living in heavily polluted areas should pay more attention to UGBS; 4) Intermediary analysis found that UGBS mainly accelerates aging by reducing harm, rather than affecting the population's ability to recover and build.

CONCLUSIONS

UGBS with a composite weighted score showed a better correlation with accelerated ageing than green spaces. Other factors such as gender, race and lifestyle also influence the impact of the environment on accelerated ageing.

摘要

目的

我们研究了城市绿地和蓝色空间与加速衰老发生率之间的关联,这方面的研究很少。

方法

分析了英国生物银行(2006 - 2010年)中440,785名参与者的数据,重点关注城市绿地和蓝色空间(UGBS)。通用线性模型和逻辑模型评估了UGBS与加速衰老(克莱梅拉 - 杜巴尔方法、端粒长度和虚弱程度)之间的联系。中介分析检验了污染和其他因素所起的作用。

结果

在控制随机效应和各类协变量后,我们发现:1)UGBS暴露水平较高的人群与加速衰老和衰老减缓有关;2)在1000米街道网络缓冲距离内,UGBS对加速衰老的影响最大;3)生活在污染严重地区的参与者应更加关注UGBS;4)中介分析发现,UGBS主要通过减少危害来加速衰老,而不是影响人群的恢复和重建能力。

结论

具有综合加权分数的UGBS与加速衰老的相关性比绿地更好。性别、种族和生活方式等其他因素也会影响环境对加速衰老的作用。

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