Ambient ozone concentration and hospital admissions due to childhood respiratory diseases in New York State, 1991–2001

Lin, Shao; Bell, Erin M.; Liu, Wei; Walker, Randi Jones; Kim, Nancy K.; Hwang, Syni‐An

doi:10.1016/j.envres.2008.06.007

Cited by 37 publications

(26 citation statements)

References 34 publications

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“…It is remarkable that, in some articles, the effects of the O 3 have been found as predominant up to lag 2 for respiratory emergency visits (Gouveia and Fletcher, 2000b;Lin et al, 2008;Stieb et al, 2009). In contrast, in our study, in winter, the maximum value for ozone was related with type W, whose days have an average index of admissions lower than the average for all the lags.…”

Section: Discussioncontrasting

confidence: 52%

“…Later, Peng et al (2009) also found positive relations between particle matter and morbidity by respiratory diseases. Lin et al (2008) pointed out two limitations in their study that we have also encountered: first, hospital admission data only register the most severe cases and miss most mild cases; and second, these data cannot distinguish between incident and prevalent disease. An additional difficulty arises at this point: the study of the relation between particulate matter and health is difficult because of the complexity of the chemical composition of PM, as shown in Cardenas et al (2008).…”

Section: Discussionmentioning

confidence: 99%

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Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

Monsalve

Tomás

Fraile

2013

Aerosol Air Qual. Res.

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This study considers the relationship between the risk of hospital admission due to respiratory diseases, the daily weather, and the air pollution conditions between 2000 and 2006. A synoptic climatological approach is used to investigate the links between weather types and all hospital admissions due to respiratory diseases in Castilla-La Mancha (CLM), Spain. The main circulation weather types (CWTs) were determined for winter and spring, the seasons with the highest percentage of hospital admissions, and the frequency distribution of these types was also analyzed. The study includes a summary of the main characteristics of the hospital admission series and their distribution over the study period of seven years, as well as the frequency distributions of the admissions classified by gender and age, for each season, month and day of the week. In addition, an admission index was used to compare CWTs and hospital admissions due to respiratory diseases. The results show distinctly different responses of daily respiratory disease admission rates (RD) to the eight CWTs identified in winter and in spring. In winter, three CWTs (southwesterly (SW), anticyclonic (A) and hybrid anticyclonic southwesterly (HASW)) present values 1.5 times above the average admission rates. In contrast, there are no significant differences in spring. Finally, the results of Principal Component Analysis applied to the daily series of meteorological parameters, atmospheric pollutants and morbidity data revealed that in winter the decrease in RD is related to increases in temperature and pressure. These results represent an important step in identifying reliable connections between weather-air pollutants and human health.

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Section: Discussioncontrasting

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

Monsalve

Tomás

Fraile

2013

Aerosol Air Qual. Res.

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“…Unlike many studies that have focused on mortality compared with hospitalization prior to 2005 (Chang et al 2005), there are an increasing number of studies that have been conducted to evaluate the association between air pollution and hospital admissions during the recent decade. These epidemiological studies have reported associations between daily variations in air pollution and hospital admissions for cardiovascular and respiratory diseases (Cao et al 2009;Chang et al 2005;Chen et al 2010;Di Ciaula 2012;Ge et al 2011;Gurjar et al 2010;Hansen et al 2012;Kalantzi et al 2011;Li et al 2011;Lin et al 2013Lin et al , 2008Rodopoulou et al 2014;Tao et al 2014;Wilson et al 2004;Liu et al 2013). …”

Section: Introductionmentioning

confidence: 99%

“…Over the past two decades, a number of studies have evaluated the associations between outdoor air pollution and adverse health effects such as cardiovascular and respiratory diseases in different parts of the world including North America (Li et al 2011;Lin et al 2008;Rodopoulou et al 2014;Wilson et al 2004), Europe (Kalantzi et al 2011;Di Ciaula 2012;Rushworth et al 2014), Australia (Hansen et al 2012), and some Asian countries including China, Taiwan, and India (Cao et al 2009;Chang et al 2005;Chen et al 2010;Ge et al 2011;Gurjar et al 2010;Lin et al 2013;Tao et al 2014). These studies have shown an increase in mortality and/or hospital admissions for cardiovascular and respiratory diseases due to short-and long-term exposure to air pollutants.…”

Section: Introductionmentioning

confidence: 99%

Air pollution and hospital admissions for cardiorespiratory diseases in Iran: artificial neural network versus conditional logistic regression

Shakerkhatibi

Dianat

Jafarabadi

et al. 2015

Int. J. Environ. Sci. Technol.

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This study was conducted to evaluate the relationship between air pollutants (including nitrogen oxides [NO, NO 2 ]) and hospital admissions for cardiovascular and respiratory diseases. The study had a case-crossover design which was conducted in Tabriz, Iran. Daily hospital admissions and air quality data from March 2009 to March 2011 were analyzed using the artificial neural networks (ANNs) and conditional logistic regression modeling. The results showed significant associations between gaseous air pollutants including NO 2 , O 3 , and NO and hospital admissions for cardiovascular disease. Gaseous air pollutants of NO 2 , NO, and CO were associated with hospital admissions for chronic obstructive pulmonary disease, while PM 10 was associated with hospitalizations due to respiratory infections. PM 10 and O 3 were also associated with asthmatic hospital admissions. There was no significant association between SO 2 and studied health outcomes. Comparing the results of logistic regressions and ANNs confirmed the optimality of the ANNs for detection of the best predictors of hospital admissions caused by air pollution. Further research is required to investigate the effects of seasonal variations on air pollution-related health outcomes.

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“…On the other hand, many people with respiratory diseases go to the hospital only after acute respiratory event. According to Lin (2008) to understand the relationship between exposure and symptoms it is important to use the lag structure. In this study was used 2 and 3 days lag.…”

Section: Lag Structurementioning

confidence: 99%

Air Pollution Impact on Asthma and Bronchitis in Porto, Portugal, During the Year 2005

Azevedo¹,

Gonçalves²

2011

Approaches to Bronchitis

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Ambient ozone concentration and hospital admissions due to childhood respiratory diseases in New York State, 1991–2001

Cited by 37 publications

References 34 publications

Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

Air pollution and hospital admissions for cardiorespiratory diseases in Iran: artificial neural network versus conditional logistic regression

Air Pollution Impact on Asthma and Bronchitis in Porto, Portugal, During the Year 2005

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