The effects of exposure to NO2, PM2.5 and PM10 on health service attendances with respiratory illnesses: A time-series analysis

被引:21
作者
Mebrahtu, Teumzghi F. [1 ,2 ,4 ]
Santorelli, Gillian [1 ]
Yang, Tiffany C. [1 ]
Wright, John [1 ]
Tate, James [3 ]
Mceachan, Rosemary R. C. [1 ]
机构
[1] Bradford Teaching Hosp NHS Fdn Trust, Bradford Inst Hlth Res, Born Bradford, Bradford, England
[2] Bradford Royal Infirm, Wolfson Ctr Appl Hlth Res, Bradford, England
[3] Univ Leeds, Inst Transport Studies, Fac Environm, Leeds, England
[4] Bradford Teaching Hosp NHS Fdn Trust, Bradford Inst Hlth Res, Bradford BD9 6RJ, England
关键词
Air pollution; Respiratory illness; Lagged effect; Quasi-experimental; Time-series; DISTRIBUTED LAG; ASSOCIATION;
D O I
10.1016/j.envpol.2023.122123
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The associations of exposure to air-pollutants and respiratory illness remains inconsistent and studies have not adequately addressed the non-linearity and delayed effects of exposure. This is a retrospective cohort study using linked routine health and pollution data collected between January 2018 and December 2021. Participants were patients who visited General Practice (GP) or accident and emergency (A & E) services for respiratory illness. Time-series analysis, distributed lagged models, was used to address the potential non-linearity and delayed effects of exposure. There were 114,930 GP and 9878 A & E respiratory visits. For every 10 & mu;g/m3 increase in NO2 and PM2.5 above the WHO recommended 24-hr thresholds, the immediate relative risk of GP respiratory visits was 1.09 (95% CI: 1.07 to 1.05) and 1.06 (95% CI: 1.01 to 1.10), respectively. The respective relative risk of A & E visit was 1.10 (95% CI: 1.07 to 1.14) and 1.07 (95% CI: 1.00 to 1.14). Exposure to 10-unit increases in NO2, PM2.5 and PM10 above the WHO recommended 24-hr thresholds, was associated with lagged relative risks of 1.49 (95% CI: 1.42 to 1.56), 5.26 (95% CI: 4.18 to 6.61) and 2.32 (95% CI: 1.66 to 3.26), respectively, for GP respiratory attendances. The lagged relative risk of A & E respiratory visits for same units of exposure in NO2, PM2.5, and PM10 at the peak lag days were 1.98 (95% CI: 1.82 to 2.15), 4.52 (95% CI: 3.37 to 6.07) and 3.55 (95% CI: 1.85 to 6.84). A third of GP and half of A & E respiratory visits were attributable to exposure to NO2 beyond the WHO threshold. The combined cost of these visits over the study period was 1.95 million (95% CI: 1.82 to 2.09). High pollution events are related to increased health service use for respiratory illness, with impacts persisting up to 100 days post exposure. The burden of respiratory illness related to air-pollution may be considerably higher than previously reported.
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页数:8
相关论文
共 31 条
[1]   THE DISTRIBUTED LAG BETWEEN CAPITAL APPROPRIATIONS AND EXPENDITURES [J].
ALMON, S .
ECONOMETRICA, 1965, 33 (01) :178-196
[2]  
[Anonymous], 2018, 9 OUT 10 PEOPLE WORL
[3]  
Bradford Metropolitan District Council(BMDC), 2021, 2021 CENS BRADF DIST
[4]  
Bradford Metropolitan District Council (BMDC), 2019, POVERTY DEPRIVATION
[5]  
Department of Environment Foof and Rural Affairs (DEFRA), 2017, AIR QUAL DAT VAL RAT
[6]   Air pollution, lung function and COPD: results from the population-based UK Biobank study [J].
Doiron, Dany ;
de Hoogh, Kees ;
Probst-Hensch, Nicole ;
Fortier, Isabel ;
Cai, Yutong ;
De Matteis, Sara ;
Hansell, Anna L. .
EUROPEAN RESPIRATORY JOURNAL, 2019, 54 (01)
[7]   Distributed lag non-linear models [J].
Gasparrini, A. ;
Armstrong, B. ;
Kenward, M. G. .
STATISTICS IN MEDICINE, 2010, 29 (21) :2224-2234
[8]   Attributable risk from distributed lag models [J].
Gasparrini, Antonio ;
Leone, Michela .
BMC MEDICAL RESEARCH METHODOLOGY, 2014, 14
[9]   Modeling exposure-lag-response associations with distributed lag non-linear models [J].
Gasparrini, Antonio .
STATISTICS IN MEDICINE, 2014, 33 (05) :881-899
[10]   Distributed Lag Linear and Non-Linear Models in R: The Package dlnm [J].
Gasparrini, Antonio .
JOURNAL OF STATISTICAL SOFTWARE, 2011, 43 (08) :1-20