Associations between air pollution and multimorbidity in the UK Biobank: A cross-sectional study

被引:13
|
作者
Ronaldson, Amy [1 ]
Arias de la Torre, Jorge [1 ,2 ,3 ]
Ashworth, Mark [4 ]
Hansell, Anna L. [5 ,6 ]
Hotopf, Matthew [7 ,8 ]
Mudway, Ian [9 ,10 ]
Stewart, Rob [7 ,8 ]
Dregan, Alex [7 ]
Bakolis, Ioannis [1 ,11 ]
机构
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci IoPPN, Ctr Implementat Sci, Hlth Serv & Populat Res Dept, London, England
[2] CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain
[3] Univ Leon, Inst Biomed IBIOMED, Leon, Spain
[4] Kings Coll London, Sch Life Course & Populat Sci, London, England
[5] Univ Leicester, Ctr Environm Hlth & Sustainabil, Leicester, England
[6] Univ Leicester, Natl Inst Hlth & Care Res, Hlth Protect Res Unit HPRU Environm Exposures & Hl, Leicester, England
[7] IoPPN & South London & Maudsley NHS Fdn Trust, Kings Coll London, Dept Psychol Med, London, England
[8] South London & Maudsley NHS Fdn Trust, London, England
[9] Imperial Coll London, Natl Inst Hlth & Care Res, Hlth Protect Unit Environm Exposures & Hlth, London, England
[10] Imperial Coll London, Fac Med, MRC Ctr Environm & Hlth, Sch Publ Hlth, London, England
[11] Kings Coll London, IoPPN, Dept Biostat & Hlth Informat, London, England
关键词
air pollution; particulate matter; nitrogen dioxide; multimorbidity; health status; exploratory factor analysis; USE REGRESSION-MODELS; GLOBAL BURDEN; POPULATION; PATTERNS; EXPOSURE; DISEASE; AREAS;
D O I
10.3389/fpubh.2022.1035415
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundLong-term exposure to air pollution concentrations is known to be adversely associated with a broad range of single non-communicable diseases, but its role in multimorbidity has not been investigated in the UK. We aimed to assess associations between long-term air pollution exposure and multimorbidity status, severity, and patterns using the UK Biobank cohort. MethodsMultimorbidity status was calculated based on 41 physical and mental conditions. We assessed cross-sectional associations between annual modeled particulate matter (PM)(2.5), PMcoarse, PM10, and nitrogen dioxide (NO2) concentrations (mu g/m(3)-modeled to residential address) and multimorbidity status at the baseline assessment (2006-2010) in 364,144 people (mean age: 52.2 +/- 8.1 years, 52.6% female). Air pollutants were categorized into quartiles to assess dose-response associations. Among those with multimorbidity (>= 2 conditions; n = 156,395) we assessed associations between air pollutant exposure levels and multimorbidity severity and multimorbidity patterns, which were identified using exploratory factor analysis. Associations were explored using generalized linear models adjusted for sociodemographic, behavioral, and environmental indicators. ResultsHigher exposures to PM2.5, and NO2 were associated with multimorbidity status in a dose-dependent manner. These associations were strongest when we compared the highest air pollution quartile (quartile 4: Q4) with the lowest quartile (Q1) [PM2.5: adjusted odds ratio (adjOR) = 1.21 (95% CI = 1.18, 1.24); NO2: adjOR = 1.19 (95 % CI = 1.16, 1.23)]. We also observed dose-response associations between air pollutant exposures and multimorbidity severity scores. We identified 11 multimorbidity patterns. Air pollution was associated with several multimorbidity patterns with strongest associations (Q4 vs. Q1) observed for neurological (stroke, epilepsy, alcohol/substance dependency) [PM2.5: adjOR = 1.31 (95% CI = 1.14, 1.51); NO2: adjOR = 1.33 (95% CI = 1.11, 1.60)] and respiratory patterns (COPD, asthma) [PM2.5: adjOR = 1.24 (95% CI = 1.16, 1.33); NO2: adjOR = 1.26 (95% CI = 1.15, 1.38)]. ConclusionsThis cross-sectional study provides evidence that exposure to air pollution might be associated with having multimorbid, multi-organ conditions. Longitudinal studies are needed to further explore these associations.
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页数:14
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