Air pollution and individuals' mental well-being in the adult population in United Kingdom: A spatial-temporal longitudinal study and the moderating effect of ethnicity.

Air pollution and individuals' mental well-being in the adult population in United Kingdom: A spatial-temporal longitudinal study and the moderating effect of ethnicity.
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DOI:
10.1371/journal.pone.0264394
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Kulu H
Kulu H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Abed Al Ahad M;Demšar U;Sullivan F;Kulu H

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最近的研究表明,环境空气污染和精神健康之间存在联系,尽管证据大多支离破碎,也没有定论。研究还受到与研究设计和关键人口统计(例如种族)的调节作用有关的方法限制。本研究采用时空(内部)纵向设计,考察了空气污染对英国心理健康状况的影响,并评估了种族因素的调节作用。对60,146名成年人(年龄:16岁以上)的349,748份重复回复的数据来自“理解-社会:英国-家庭-纵向研究”的10次数据收集浪潮(2009-2019年),这些数据与使用个人居住地的NO2、SO2、PM10和PM2.5污染物的年浓度有关,这些污染物在地方当局和更精细的低超产出地区(LSOA)水平上给出;允许在两个地理尺度上进行跨时间的分析。使用多水平混合效应Logit模型评估了空气污染和精神幸福感(通过一般健康问卷-GHQ12评估)以及种族和非英国出生的影响之间的关系。在LSOA和地方当局层面上,二氧化氮、二氧化硫、PM10和PM2.5污染物每增加10μg/立方米,精神健康不良的几率就会增加。将空气污染分解为空间-时间(内部-内部)效应显示出显著的影响之间,而不是影响内;因此,居住在污染较严重的地方当局/LSO对不良心理健康的影响比每个地理区域内空气污染随时间的变化更大。种族分析显示,与英国白人和土生土长的英国人相比,只有巴基斯坦/孟加拉国人、其他种族和非英国出生的人的SO2、PM10和PM2.5浓度增加,精神健康状况不佳的几率更高,而其他种族群体没有。这项研究使用纵向的个人层面和与背景相关的数据,强调了空气污染对个人心理健康的负面影响。减少空气污染排放的环境政策最终可以改善英国人的心理健康。然而,关于种族的缓和作用,没有确凿的证据。
Recent studies suggest an association between ambient air pollution and mental well-being, though evidence is mostly fragmented and inconclusive. Research also suffers from methodological limitations related to study design and moderating effect of key demographics (e.g., ethnicity). This study examines the effect of air pollution on reported mental well-being in United Kingdom (UK) using spatial-temporal (between-within) longitudinal design and assesses the moderating effect of ethnicity. Data for 60,146 adult individuals (age:16+) with 349,748 repeated responses across 10-data collection waves (2009–2019) from “Understanding-Society: The-UK-Household-Longitudinal-Study” were linked to annual concentrations of NO2, SO2, PM10, and PM2.5 pollutants using the individuals’ place of residence, given at the local-authority and at the finer Lower-Super-Output-Areas (LSOAs) levels; allowing for analysis at two geographical scales across time. The association between air pollution and mental well-being (assessed through general-health-questionnaire-GHQ12) and its modification by ethnicity and being non-UK born was assessed using multilevel mixed-effect logit models. Higher odds of poor mental well-being was observed with every 10μg/m3 increase in NO2, SO2, PM10 and PM2.5 pollutants at both LSOAs and local-authority levels. Decomposing air pollution into spatial-temporal (between-within) effects showed significant between, but not within effects; thus, residing in more polluted local-authorities/LSOAs have higher impact on poor mental well-being than the air pollution variation across time within each geographical area. Analysis by ethnicity revealed higher odds of poor mental well-being with increasing concentrations of SO2, PM10, and PM2.5 only for Pakistani/Bangladeshi, other-ethnicities and non-UK born individuals compared to British-white and natives, but not for other ethnic groups. Using longitudinal individual-level and contextual-linked data, this study highlights the negative effect of air pollution on individuals’ mental well-being. Environmental policies to reduce air pollution emissions can eventually improve the mental well-being of people in UK. However, there is inconclusive evidence on the moderating effect of ethnicity.
DOI: 10.1016/j.bj.2018.06.001
发表时间: 2018-06
期刊: Biomedical journal
影响因子: 5.5
作者:
Kilian J;Kitazawa M
通讯作者: Kitazawa M
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