Short-term impact of air pollution, noise and temperature on emergency hospital admissions in Madrid (Spain) due to liver and gallbladder diseases

被引:1
|
作者
Lopez-Bueno, J. A. [1 ]
Monedero, A. Padron- [2 ]
Diaz, J. [1 ,3 ]
Navas-Martin, M. A. [1 ]
Linares, C. [1 ]
机构
[1] Carlos III Inst Hlth, Natl Sch Publ Hlth, Climate Change Hlth & Urban Environm Reference Uni, Madrid, Spain
[2] Carlos III Inst Hlth, Natl Sch Publ Hlth, Madrid, Spain
[3] Carlos III Inst Hlth, Climate Change Hlth & Urban Environm Reference Uni, Monforte Lemos 5, Madrid 28029, Spain
关键词
Liver; Gallbladder diseases; Air pollution; Noise; Hospital admissions; NITROGEN-DIOXIDE; MEMBRANE CONSTITUENTS; LUNG; CHOLESTEROL; MORTALITY; STRESS; ACID;
D O I
10.1016/j.envres.2024.118439
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Very few epidemiological studies have explored the environmental and meteorological risk factors that influence liver diseases and gallbladder disorders, and no studies have addressed the specific case of Spain. Methods: This is a retrospective ecological study conducted during 2013-2018. We analysed emergency admissions in the central area of the Region of Madrid for the following causes: Liver and gallbladder diseases (L&GB) (ICD-10: K70-K81); disorders of gallbladder (DGB) (ICD 10: K80-K81); liver disease (LD) (ICD 10: K70-K77); alcoholic liver disease (ALD) (ICD-10: K70); viral hepatitis (VH) (ICD10:B15-B19); and hepatic failure, not elsewhere classified (HFNS) (ICD-10: K72). Independent variables used: meteorological (maximum daily temperature (Tmax in degrees C), minimum daily temperature (Tmin in degrees C), and relative humidity (RH in %)); chemical air pollution (8-hO3, NO2, PM10, PM2.5 in mu g/m3); and noise pollution (equivalent level of daily noise (Ld in dB(A)). Transformed variables: extreme heat in degrees (Theat); wet cold (WC); and high ozone. We fitted Poisson models, negative binomials and zero -inflated Poisson controlled for seasonality, day of the week, holidays, trend, and autoregressive trend. Based on these models, the percentage of cases attributable to statistically significant risk factors was then estimated. Results: In L&GB emergency admissions daily noise is related to 4.4% (CI95%: 0.8 7.9) of admissions; NO2 to 2.9% (CI95%: 0.1 5.7) and wet cold to 0.2% (CI95%: 0.8 7.9). Heat wave temperature was only related to ALD. In addition, the wet cold association with L&GB is also related to HFNS attributing 1.0% (CI95%: 0.3 1.8) of admissions for this cause. Conclusions: Daily noise and NO2 are associated with more than 7% of urgent L&GB admissions. Both pollutants, are mainly emitted by road traffic. A reduction of traffic in cities would result in a reduction of emergency admissions due to this cause.
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页数:8
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