Seasonal effect of PM10 concentrations on mortality and morbidity in Seoul, Korea: A temperature-matched case-crossover analysis

Yi, Okhee; Hong, Yun-Chul; Kim, Ho

doi:10.1016/j.envres.2009.09.009

Cited by 92 publications

(68 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several recent large studies have provided further evidence that the strength of PM effect may depend on the composition [74]. Investigations in European cities [75], Asian cities [76], and Oceania cities [77] have demonstrated a consistent and small though significant association between PM concentrations and emergency visits for respiratory diseases.…”

Section: Pm and Respiratory-related Healthcare Utilizationmentioning

confidence: 99%

Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health

2011

View full text Add to dashboard Cite

The World Health Organization estimates that particulate matter (PM) air pollution contributes to approximately 800,000 premature deaths each year, ranking it the 13th leading cause of mortality worldwide. However, many studies show that the relationship is deeper and far more complicated than originally thought. PM is a portion of air pollution that is made up of extremely small particles and liquid droplets containing acids, organic chemicals, metals, and soil or dust particles. PM is categorized by size and continues to be the fraction of air pollution that is most reliably associated with human disease. PM is thought to contribute to cardiovascular and cerebrovascular disease by the mechanisms of systemic inflammation, direct and indirect coagulation activation, and direct translocation into systemic circulation. The data demonstrating PM's effect on the cardiovascular system are strong. Populations subjected to long-term exposure to PM have a significantly higher cardiovascular incident and mortality rate. Short-term acute exposures subtly increase the rate of cardiovascular events within days of a pollution spike. The data are not as strong for PM's effects on cerebrovascular disease, though some data and similar mechanisms suggest a lesser result with smaller amplitude. Respiratory diseases are also exacerbated by exposure to PM. PM causes respiratory morbidity and mortality by creating oxidative stress and inflammation that leads to pulmonary anatomic and physiologic remodeling. The literature shows PM causes worsening respiratory symptoms, more frequent medication use, decreased lung function, recurrent health care utilization, and increased mortality. PM exposure has been shown to have a small but significant adverse effect on cardiovascular, respiratory, and to a lesser extent, cerebrovascular disease. These consistent results are shown by multiple studies with varying populations, protocols, and regions. The data demonstrate a dose-dependent relationship between PM and human disease, and that removal from a PM-rich environment decreases the prevalence of these diseases. While further study is needed to elucidate the effects of composition, chemistry, and the PM effect on susceptible populations, the preponderance of data shows that PM exposure causes a small but significant increase in human morbidity and mortality. Most sources agree on certain "common sense" recommendations, although there are lonely limited data to support them. Indoor PM exposure can be reduced by the usage of air conditioning and particulate filters, decreasing indoor combustion for heating and cooking, and smoking cessation. Susceptible populations, such as the elderly or asthmatics, may benefit from limiting their outdoor activity during peak traffic periods or poor air quality days. These simple changes may benefit individual patients in both short-term symptomatic control and long-term cardiovascular and respiratory complications.

show abstract

Section: Pm and Respiratory-related Healthcare Utilizationmentioning

confidence: 99%

Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health

2011

View full text Add to dashboard Cite

show abstract

“…However, there is some evidence that both cold and hot temperature for hospital admission vary by location. For example, several recent studies conducted in North America have found that hospital admission is generally higher in warm period as compared with the cool period (Peng et al 2005;Ren & Tong 2006a;Stafoggia et al 2008), while studies in Asian countries have provided inconsistent result; hospital admission increased in cool months (Chena et al 2010;Kan et al 2008;Liang et al 2009) and others have reported increment in warmer months (Choi et al 2007;Yi et al 2010).…”

Section: Resultsmentioning

confidence: 97%

Construction of a Composite Hospital Admission Index Using the Aggregated Weights of Criteria

Desa¹,

Jemain²,

Kasim³

2015

JSM

View full text Add to dashboard Cite

show abstract

“…이러한 연구는 개인의 장기 노출을 개인 주소지에서 PM 10 농도의 장기간 평균값으 로 파악하고 공간적 변이에 초점을 두었고, 최근에는 공간적 변이의 시간적인 경향을 반영하고 있다 (Hoek et al, 2013;Jerrett et al, 2005). 반면, 국내에서는 개인 보다는 인구집단 단위의 PM 10 의 단시간 (시간별/일별) 변이로서 건강결과 지표 (사망률, 유병률 등)의 변화를 설명하는 PM 10 단기노출 연구가 주를 이루어 왔다 (Yi et al, 2010;Hong et al, 2002;Lee et al, 2002). 장기노 출 연구에서는 대기오염의 건강영향에 대한 직접적인 인과관계를 증명할 수 있다는 장점이 있기 때문에, 한 국 연구에서도 최근 장기노출을 평가하는 추세이다 Son et al, 2011).…”

Section: 서 론unclassified

Exploration and Application of Regulatory PM<sub>10</sub> Measurement Data for Developing Long-term Prediction Models in South Korea

Yi¹,

Kim²,

Kim³

2016

Journal of Korean Society for Atmospheric Environment

Self Cite

View full text Add to dashboard Cite

Many cohort studies have reported associations of individual-level long-term exposures to PM 10 and health outcomes. Individual exposures were often estimated by using exposure prediction models relying on PM 10 data measured at national regulatory monitoring sites. This study explored spatial and temporal characteristics of regulatory PM 10 measurement data in South Korea and suggested PM 10 concentration metrics as long-term exposures for assessing health effects in cohort studies. We obtained hourly PM 10 data from the National Institute of Environmental Research for 2001~2012 in South Korea. We investigated spatial distribution of monitoring sites using the density and proximity in each of the 16 metropolitan cities and provinces. The temporal characteristics of PM 10 measurement data were examined by annual/seasonal/diurnal patterns across urban background monitoring sites after excluding Asian dust days. For spatial characteristics of PM 10 measurement data, we computed coefficient of variation (CV) and coefficient of divergence (COD). Based on temporal and spatial investigation, we suggested preferred long-term metrics for cohort studies. In 2010, 294 urban background monitoring sites were located in South Korea with a site over an area of 415.0 km 2 and distant from another site by 31.0 km on average. Annual average PM 10 concentrations decreased by 19.8% from 2001 to 2012, and seasonal PM 10 patterns were consistent over study years with higher concentrations in spring and winter. Spatial variability was relatively small with 6~19% of CV and 21~46% of COD across 16 metropolitan cities and provinces in 2010. To maximize spatial coverage and reflect temporal and spatial distributions, our suggestion for PM 10 metrics representing long-term

show abstract

Seasonal effect of PM10 concentrations on mortality and morbidity in Seoul, Korea: A temperature-matched case-crossover analysis

Cited by 92 publications

References 35 publications

Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health

Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health

Construction of a Composite Hospital Admission Index Using the Aggregated Weights of Criteria

Exploration and Application of Regulatory PM<sub>10</sub> Measurement Data for Developing Long-term Prediction Models in South Korea

Contact Info

Product

Resources

About