Effects of Air Pollution on Hospital Emergency Room Visits for Respiratory Diseases: Urban-Suburban Differences in Eastern China

Liu, Peng; Wang, Xining; Fan, Jiayin; Xiao, Wenlei; Wang, Yan

doi:10.3390/ijerph13030341

Cited by 45 publications

(25 citation statements)

References 53 publications

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“…Number of patients' visits increased with the increase of concentration levels. Similar results have been obtained in some other research studies [12,13].…”

Section: Discussionsupporting

confidence: 92%

Air quality and the number of urgent interventions

Cvitković¹,

Barišin²,

Capak³

et al. 2018

Int. J. EI

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The purpose of this article is to analyse the correlation of air quality data with the number of emergency medical interventions and the number of patient visits to emergency clinic of the Integrated Emergency Hospital Admission (Croatian acronym: OHBP).The analysis was conducted on data regarding Slavonski Brod (Croatia) from 1 January to 31 August 2016, obtained from: (1) System eHitna -emergency medical services interventions (2) Patients' visit to OHBP-General Hospital Slavonski Brod (3) Environmental Protection Agency data regarding air quality for PM2.5, PM10 and H 2 S per day. The number of interventions ranged from 103 to 260 (M = 151), and the number of patients from 90 to 250 per day (M = 133). Overall the number of interventions was 37,482, and overall number of patients 32,757. The values of PM2.5 ranged from 1.73 to 500.11 µg/m 3 (M = 18.70), values of PM10 ranged from 3.17 to 520.21 µg/m 3 (M = 25.55), and values of H2S ranged from 0.62 to 12.43 µg/m 3 (M = 1.49).The values of PM2.5, PM10 and H2S have been analysed also depending on the limit values (25 µg/m 3 for PM2.5, 50 µg/m 3 for PM10 and 5 µg/m 3 for H2S).The values were within the limit values for PM2.5 in 64% of days, in 80% of days for PM10 and in 93% of days for H2S.There was a statistically significant weak correlation (r S = 0.333, p < 0.05) between PM2.5 and the number of patients per day, weak correlation (r S = 0.334, p < 0.05) between PM10 and the number of patients per day and a weak correlation (r S = 0.171, p < 0.05) between H2S and the number of patients per day.There was a statistically significant difference in the number of patients who were provided with medical assistance in the day depending on the values of PM2.5 (p < 0.001) and PM10 (p < 0.001), while for H2S the significance was borderline (p = 0.051).

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“…Number of patients' visits increased with the increase of concentration levels. Similar results have been obtained in some other research studies [12,13].…”

Section: Discussionsupporting

confidence: 92%

Air quality and the number of urgent interventions

Cvitković¹,

Barišin²,

Capak³

et al. 2018

Int. J. EI

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“…NO 2 is associated with asthma visits 21,[23][24][25]29,33 , COPD 22,33,34 , URTI 22 , pneumonia 29 , as well as all respiratory ED visits 35,36 . Samoli et al found signifi cant association of NO 2 with total, cardiovascular and respiratory mortality 31 .…”

Section: Discussionmentioning

confidence: 99%

Correlation Between Occurrence and Deterioration of Respiratory Diseases and Air Pollution Within the Legally Permissible Limits

Trnjar

Pintarić²,

Jelavić³

et al. 2017

acc

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SUMMARY -Th e aim of the study was to investigate the unknown eff ect of air pollutants on the occurrence or deterioration of respiratory diseases in the area with a humid continental climate. Th is retrospective study included 5868 patients with respiratory symptomatology (upper respiratory tract infection (URTI), pneumonia, acute bronchitis, chronic obstructive pulmonary disease (COPD), and asthma) admitted to emergency department (ED). Th e number of patients, values of meteorological parameters (mean daily values of air temperature pressure and relative humidity) and concentrations of air pollution particles (≤10 μm (PM 10 ), ozone (O 3 ) and nitrogen dioxide (NO 2 )) were collected during a two-year ( July 2008 -June 2010) period. Th ere were 1839 (31.3%), 1712 (29.2%), 1313 (22.4%), 614 (10.5%) and 390 (6.6%) patients with pneumonia, COPD, URTI, acute bronchitis and asthma, respectively. Th e mean daily concentrations of NO 2 (25.9 (1.7-89.7) μg/m 3 ) , O 3 (47.1 (4.7-135.4) μg/ m 3 ) and PM 10 particles (25.7 (4.6-146.6) μg/m 3 ) were below the legally defi ned thresholds. Among other results, the occurrence of respiratory diseases showed positive Spearman's correlation with the values of air humidity (days 0-3, r=0.15 to 0.19), PM 10 (days 0-3, r=0.10 to 0.13) and NO 2 concentrations (day 0, r=0.11), and negative correlation with the values of air temperature (days 0-3, r=-0.36 to -0.34), pressure (day 0, r=-0.10) and O 3 concentrations (days 0-3, r=-0.21 to -0.22) (p<0.05 all). In conclusion, the occurrence of respiratory diseases showed correlation with weather conditions and air pollutants despite the legally permitted values in the region with a humid continental climate.

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“…(2) The partial autocorrelation function (PACF) was applied to select the degree of freedom of time according to the minimum absolute values of the sum of PACF for lags up to 30 [ 19 , 20 ]. Degrees of freedom for temperature and relative humidity were defined based on previous studies [ 9 , 21 ]. (3) Indicators for the weekends (DOW) and the public holidays (holiday) were adjusted as dummy variables in the model [ 6 , 19 ].…”

Section: Methodsmentioning

confidence: 99%

“…(3) Indicators for the weekends (DOW) and the public holidays (holiday) were adjusted as dummy variables in the model [ 6 , 19 ]. (4) The naturally smooth functions of two variables, average temperature and relative humidity, were included into the model to control the confounding effects of meteorological factors on the association between air pollution and respiratory disease hospitalization [ 21 ]. According to previous studies, the effect of temperature on health had a lag effect of more than 10 days [ 22 , 23 ].…”

Section: Methodsmentioning

confidence: 99%

Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis

Luo

Zhang

Jiang

et al. 2018

IJERPH

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In this study, we estimated the short-term effects of ambient air pollution on respiratory disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization, daily concentration of ambient air pollutants and meteorological factors from 1 October 2014 to 30 September 2017 in Taiyuan were included in our study. We conducted a time-series study design and applied a generalized additive model to evaluate the association between every 10-μg/m3 increment of air pollutants and percent increase of respiratory disease hospitalization. A total of 127,565 respiratory disease hospitalization cases were included in this study during the present period. In single-pollutant models, the effect values in multi-day lags were greater than those in single-day lags. PM2.5 at lag02 days, SO2 at lag03 days, PM10 and NO2 at lag05 days were observed to be strongly and significantly associated with respiratory disease hospitalization. No significant association was found between O3 and respiratory disease hospitalization. SO2 and NO2 were still significantly associated with hospitalization after adjusting for PM2.5 or PM10 into two-pollutant models. Females and younger population for respiratory disease were more vulnerable to air pollution than males and older groups. Therefore, some effective measures should be taken to strengthen the management of the ambient air pollutants, especially SO2 and NO2, and to enhance the protection of the high-risk population from air pollutants, thereby reducing the burden of respiratory disease caused by ambient air pollution.

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Effects of Air Pollution on Hospital Emergency Room Visits for Respiratory Diseases: Urban-Suburban Differences in Eastern China

Cited by 45 publications

References 53 publications

Air quality and the number of urgent interventions

Air quality and the number of urgent interventions

Correlation Between Occurrence and Deterioration of Respiratory Diseases and Air Pollution Within the Legally Permissible Limits

Short-Term Effects of Ambient Air Pollution on Hospitalization for Respiratory Disease in Taiyuan, China: A Time-Series Analysis

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