The spatial-temporal effect of air pollution on individuals' reported health and its variation by ethnic groups in the United Kingdom: a multilevel longitudinal analysis.
The spatial-temporal effect of air pollution on individuals' reported health and its variation by ethnic groups in the United Kingdom: a multilevel longitudinal analysis.
复制标题
DOI：
10.1186/s12889-023-15853-y
复制
发表时间：
2023-05-16
影响因子：
4.5
通讯作者：
中科院分区：
文献类型：
--
作者：
空气污染与健康状况不佳有关；尽管目前尚不清楚，与其他人口相比，少数民族的这种联系是否更强。这项研究使用纵向数据来调查空气污染对英国个人报告的健康状况的时空影响及其随种族的变化。来自理解社会的纵向个人水平数据：英国家庭纵向研究包括67,982名成年人，在11年(2009-2019年)期间重复回答404,264次，并与每个人居住的NO2、SO2和颗粒物(PM10、PM2.5)的年浓度有关，一次在地方当局，一次在人口普查低超级输出区(LSOA)。这允许随着时间的推移在两个地理范围内进行分析。使用三水平混合效应有序Logistic模型评估空气污染与个人健康之间的关联(Likert评分：1-5，从优到差)及其随种族的变化。区分空气污染对健康的空间(地区间)和时间(每个地区内的时间)影响的分析。NO2、SO2、PM10和PM2.5污染浓度越高，健康状况越差。将空气污染分解为(空间上：跨地方当局或LSOA)和内部(时间：每个地方当局或LSOA内的年份)的影响显示，在两个地理尺度上，对NO2和SO2污染物的影响显著，而对PM10和PM2.5的显著影响仅在LSOA水平上显示。在这两个地理水平上都没有检测到显著的内部效应。印度、巴基斯坦/孟加拉、黑人/非洲/加勒比和其他族裔群体以及非英国出生的个人报告的健康状况较差，与英国白人和英国出生的个人相比，NO2、SO2、PM10和PM2.5污染物的浓度增加。使用与两个地理尺度(地方当局和LSOA)的空气污染数据相关联的个人健康纵向数据，这项研究支持空气污染和自我报告的健康不良之间存在时空关联，这在英国的少数民族和外国出生的个人中更强，部分原因是地点特定的差异。缓解空气污染对于改善个人健康是必要的，特别是对受影响最严重的少数民族来说。网上版载有补充材料，可在10.1186/s12889-023-15853-y查阅。
Air pollution is associated with poor health; though it is unclear whether this association is stronger for ethnic minorities compared to the rest of the population. This study uses longitudinal data to investigate the spatial–temporal effect of air pollution on individuals’ reported health and its variation by ethnicity in the United-Kingdom (UK). Longitudinal individual-level data from Understanding Society: the UK Household Longitudinal Study including 67,982 adult individuals with 404,264 repeated responses over 11 years (2009–2019) were utilized and were linked to yearly concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution once at the local authority and once at the census Lower Super Output Area (LSOA) of residence for each individual. This allows for analysis at two geographical scales over time. The association between air pollution and individuals’ health (Likert scale: 1–5, Excellent to poor) and its variation by ethnicity was assessed using three-level mixed-effects ordered logistic models. Analysis distinguished between spatial (between areas) and temporal (across time within each area) effects of air pollution on health. Higher concentrations of NO2, SO2, PM10, and PM2.5 pollution were associated with poorer health. Decomposing air pollution into between (spatial: across local authorities or LSOAs) and within (temporal: across years within each local authority or LSOA) effects showed a significant between effect for NO2 and SO2 pollutants at both geographical scales, while a significant between effect for PM10 and PM2.5 was shown only at the LSOAs level. No significant within effects were detected at an either geographical level. Indian, Pakistani/Bangladeshi, Black/African/Caribbean and other ethnic groups and non-UK-born individuals reported poorer health with increasing concentrations of NO2, SO2, PM10, and PM2.5 pollutants in comparison to the British-white and UK-born individuals. Using longitudinal data on individuals’ health linked with air pollution data at two geographical scales (local authorities and LSOAs), this study supports the presence of a spatial–temporal association between air pollution and poor self-reported health, which is stronger for ethnic minorities and foreign-born individuals in the UK, partly explained by location-specific differences. Air pollution mitigation is necessary to improve individuals’ health, especially for ethnic minorities who are affected the most. The online version contains supplementary material available at 10.1186/s12889-023-15853-y.
登录
查看更多内容
DOI：
10.1080/15287394.2014.887399
发表时间：
2014-01-01
影响因子：
2.6
作者：
Almeida, S. M.;Silva, A. V.;Sarmento, S.
通讯作者：
Sarmento, S.
影响因子：
4.8
作者：
Astell-Burt T;Maynard MJ;Lenguerrand E;Whitrow MJ;Molaodi OR;Harding S
通讯作者：
Harding S
DOI：
10.4103/1735-1995.189646
发表时间：
2016
期刊：
Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences
影响因子：
--
作者：
Ghorani-Azam A;Riahi-Zanjani B;Balali-Mood M
通讯作者：
Balali-Mood M
影响因子：
4
作者：
Lajos GJ;Haddad SM;Tedesco RP;Passini R Jr;Dias TZ;Nomura ML;Rheder PM;Sousa MH;Cecatti JG;Brazilian Multicenter Study on Preterm Birth study group
通讯作者：
Brazilian Multicenter Study on Preterm Birth study group
影响因子：
3
作者：
Catney, Gemma;Lloyd, Christopher D.;Manley, David
通讯作者：
Manley, David