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1.
Biomed Environ Sci ; 28(5): 352-63, 2015 May.
Article in English | MEDLINE | ID: mdl-26055562

ABSTRACT

OBJECTIVE: To investigate the association between ambient air pollution and hospital emergency admissions in Beijing. METHODS: In this study, a semi-parametric generalized additive model (GAM) was used to evaluate the specific influences of air pollutants (PM10, SO2, and NO2) on hospital emergency admissions with different lag structures from 2009 to 2011, the sex and age specific influences of air pollution and the modifying effect of seasons on air pollution to analyze the possible interaction. RESULTS: It was found that a 10 µg/m3 increase in concentration of PM10 at lag 03 day, SO2 and NO2 at lag 0 day were associated with an increase of 0.88%, 0.76%, and 1.82% respectively in overall emergency admissions. A 10 µg/m3 increase in concentration of PM10, SO2 and NO2 at lag 5 day were associated with an increase of 1.39%, 1.56%, and 1.18% respectively in cardiovascular disease emergency admissions. For lag 02, a 10 µg/m3 increase in concentration of PM10, SO2 and NO2 were associated with 1.72%, 1.34%, and 2.57% increases respectively in respiratory disease emergency admissions. CONCLUSION: This study further confirmed that short-term exposure to ambient air pollution was associated with increased risk of hospital emergency admissions in Beijing.


Subject(s)
Air Pollution/adverse effects , Cardiovascular Diseases/etiology , Cities , Emergency Medical Services , Respiratory Tract Diseases/etiology , Adolescent , Adult , Aged , Cardiovascular Diseases/epidemiology , Child , Child, Preschool , China/epidemiology , Female , Humans , Infant , Male , Middle Aged , Respiratory Tract Diseases/epidemiology , Seasons , Young Adult
3.
Sci Total Environ ; 456-457: 370-5, 2013 Jul 01.
Article in English | MEDLINE | ID: mdl-23624010

ABSTRACT

OBJECTIVES: To evaluate the short-term effect of diurnal temperature range (DTR) on emergency room (ER) admissions among elderly adults in Beijing. METHODS: After controlling the long-time and seasonal trend, weather, air pollution and other confounding factors, a semi-parametric generalized additive model (GAM) was used to analyze the exposure-effect relationship between DTR and daily ER admissions among elderly adults with different lag structures from 2009 to 2011 in Beijing. We examined the effects of DTR for stratified groups by age and gender, and conducted the modifying effect of season on DTR to test the possible interaction. RESULTS: Significant associations were found between DTR and four major causes of daily ER admissions among elderly adults in Beijing. A 1 °C increase in the 8-day moving average of DTR (lag 07) corresponded to an increase of 2.08% (95% CI: 0.88%-3.29%) in respiratory ER admissions and 2.14% (95% CI: 0.71%-3.59%) in digestive ER admissions. A 1 °C increase in the 3-day and 6-day moving average of DTR (lag 02 and lag 05) corresponded to a 0.76% (95% CI: 0.07%-1.46%) increase in cardiovascular ER admissions, and 1.81% (95% CI: 0.21%-3.45%) increase in genitourinary ER admissions, respectively. The people aged 75 years and older were associated more strongly with DTR than the 65-74 age group. The modifying effect of season on DTR was observed and it was various in four causes. CONCLUSIONS: This study strengthens the evidence that DTR is an independent risk factor for ER admissions among elderly persons. Some prevention programs that target the elderly and other high risk subgroups for impending large temperature changes may reduce the impact of DTR on people's health.


Subject(s)
Disease/etiology , Emergency Service, Hospital , Patient Admission , Temperature , Aged , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , China , Digestive System Diseases/epidemiology , Digestive System Diseases/etiology , Emergency Service, Hospital/statistics & numerical data , Female , Female Urogenital Diseases/epidemiology , Female Urogenital Diseases/etiology , Humans , Male , Male Urogenital Diseases/epidemiology , Male Urogenital Diseases/etiology , Models, Statistical , Patient Admission/statistics & numerical data , Respiratory Tract Diseases/epidemiology , Respiratory Tract Diseases/etiology , Risk Factors , Seasons , Time Factors
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