Interaction between residential greenness and air pollution mortality: analysis of the Chinese Longitudinal Healthy Longevity Survey

归一化差异植被指数 空气污染 环境科学 比例危险模型 人口学 危险系数 微粒 医学 住所 环境卫生 置信区间 地理 气候变化 生态学 生物 外科 社会学 内科学
作者
John S. Ji,Anna Zhu,Yuebin Lv,Xiaoming Shi
出处
期刊:The Lancet Planetary Health [Elsevier]
卷期号:4 (3): e107-e115 被引量:161
标识
DOI:10.1016/s2542-5196(20)30027-9
摘要

BackgroundBoth air pollution and green space have been shown to affect health. We aimed to assess whether greenness protects against air pollution-related mortality.MethodsWe used data from the 2008 wave of the Chinese Longitudinal Healthy Longevity Survey. We calculated contemporaneous normalised difference vegetation index (NDVI) in the 500 m radius around each participant's residence. Fine particulate matter (PM2·5) concentration was calculated using 3-year average concentrations in 1 km × 1 km grid resolution. We used Cox proportional hazards models to estimate the effects of NDVI, PM2·5, and their interaction on all-cause mortality, adjusted for a range of covariates.FindingsThe cohort contained 12 873 participants, totalling 47 884 person-years. There were 7426 deaths between 2008 and 2014. The mean contemporaneous NDVI was 0·42 (SD 0·21), and the mean 3-year average PM2·5 was 49·63 μg/m3 (13·72). In the fully adjusted model, the mortality hazard ratio for each 0·1-unit decrease in contemporaneous NDVI was 1·08 (95% CI 1·03–1·13), each 10 μg/m3 increase in PM2·5 was 1·13 (1·09–1·18), and the interaction term was 1·01 (1·00–1·02) with a p value of 0·027. We observed non-linear associations in our stratified analyses: people living in urban areas were more likely to benefit from greenness, and people living in rural areas were more likely to be harmed by air pollution.InterpretationOur study showed some indication of a synergistic effect of greenness and air pollution, suggesting that green space planning and air pollution control can jointly improve public health.FundingBill & Melinda Gates Foundation, National Institutes of Health, National Key R&D Program of China, National Natural Science Foundation of China.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ShengzhangLiu发布了新的文献求助10
刚刚
liz发布了新的文献求助10
1秒前
hhh发布了新的文献求助10
1秒前
kevinrnk发布了新的文献求助10
1秒前
1秒前
smottom应助zy采纳,获得10
2秒前
pengvvvv完成签到,获得积分10
3秒前
3秒前
小miu完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
6秒前
6秒前
8秒前
8秒前
8秒前
kepler完成签到,获得积分10
9秒前
znn完成签到 ,获得积分10
9秒前
科研通AI2S应助liz采纳,获得10
9秒前
9秒前
若杉完成签到 ,获得积分10
10秒前
10秒前
11秒前
科研通AI2S应助ww采纳,获得10
11秒前
010826完成签到,获得积分10
13秒前
冷子妍发布了新的文献求助10
13秒前
Fan完成签到,获得积分10
13秒前
Ttt发布了新的文献求助10
14秒前
15秒前
15秒前
不可以哦完成签到 ,获得积分10
15秒前
李子敬完成签到,获得积分10
15秒前
ShuwenZheng发布了新的文献求助10
16秒前
充电宝应助hhh采纳,获得10
17秒前
酷波er应助ShengzhangLiu采纳,获得10
17秒前
量子星尘发布了新的文献求助10
18秒前
18秒前
木鱼完成签到,获得积分10
18秒前
010826发布了新的文献求助10
19秒前
李爱国应助Fan采纳,获得10
19秒前
19秒前
lzy完成签到,获得积分20
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
Rare earth elements and their applications 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5767057
求助须知:如何正确求助?哪些是违规求助? 5567805
关于积分的说明 15414325
捐赠科研通 4901131
什么是DOI,文献DOI怎么找? 2636828
邀请新用户注册赠送积分活动 1585019
关于科研通互助平台的介绍 1540216