Browse > Article
http://dx.doi.org/10.5620/eht.2014.29.e2014005

Spatial analysis of $PM_{10}$ and cardiovascular mortality in the Seoul metropolitan area  

Lim, Yu-Ra (Korea Environment Institute)
Bae, Hyun-Joo (Korea Environment Institute)
Lim, Youn-Hee (Institute of Health and Environment, Seoul National University)
Yu, Seungdo (Environmental Health Research Department, National Institute of Environmental Research)
Kim, Geun-Bae (Environmental Health Research Department, National Institute of Environmental Research)
Cho, Yong-Sung (Environmental Health Research Department, National Institute of Environmental Research)
Publication Information
Environmental Analysis Health and Toxicology / v.29, no., 2014 , pp. 5.1-5.7 More about this Journal
Abstract
Objectives Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than $10{\mu}m$ in aerodynamic diameter ($PM_{10}$). The aim of the present study was to examine the spatial distribution of $PM_{10}$ concentrations and cardiovascular mortality and to investigate the spatial correlation between $PM_{10}$ and cardiovascular mortality using spatial scan statistic (SaTScan) and a regression model. Methods From 2008 to 2010, the spatial distribution of $PM_{10}$ in the Seoul metropolitan area was examined via kriging. In addition, a group of cardiovascular mortality cases was analyzed using SaTScan-based cluster exploration. Geographically weighted regression (GWR) was applied to investigate the correlation between $PM_{10}$ concentrations and cardiovascular mortality. Results An examination of the regional distribution of the cardiovascular mortality was higher in provincial districts (gu) belonging to Incheon and the northern part of Gyeonggi-do than in other regions. In a comparison of $PM_{10}$ concentrations and mortality cluster (MC) regions, all those belonging to MC 1 and MC 2 were found to belong to particulate matter (PM) 1 and PM 2 with high concentrations of air pollutants. In addition, the GWR showed that $PM_{10}$ has a statistically significant relation to cardiovascular mortality. Conclusions To investigate the relation between air pollution and health impact, spatial analyses can be utilized based on kriging, cluster exploration, and GWR for a more systematic and quantitative analysis. It has been proven that cardiovascular mortality is spatially related to the concentration of $PM_{10}$.
Keywords
Cardiovascular mortality; Geographically weighted regression; $PM_{10}$; SaTScan; Spatial epidemiology;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Dockery DW, Pope CA 3rd, Xu X, Spengler JD, Ware JH, Fay ME, et al. An association between air pollution and mortality in six U.S. cities. N Engl J Med 1993;329(24):1753-1759.   DOI   ScienceOn
2 Puett RC, Hart JE, Yanosky JD, Paciorek C, Schwartz J, Suh H, et al. Chronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses' Health Study. Environ Health Perspect 2009;117(11):1697-1701.   DOI   ScienceOn
3 Pope CA 3rd, Burnett RT, Thun MJ, Calle EE, Krewski D, Ito K, et al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 2002;287(9):1132-1141.   DOI   ScienceOn
4 Zanobetti A, Schwartz J. The effect of fine and coarse particulate air pollution on mortality: a national analysis. Environ Health Perspect 2009;117(6):898-903.   DOI   ScienceOn
5 Cesaroni G, Badaloni C, Gariazzo C, Stafoggia M, Sozzi R, Davoli M, et al. Long-term exposure to urban air pollution and mortality in a cohort of more than a million adults in Rome. Environ Health Perspect 2013;121(3):324-331.   DOI
6 Meister K, Johansson C, Forsberg B. Estimated short-term effects of coarse particles on daily mortality in Stockholm, Sweden. Environ Health Perspect 2012;120(3):431-436.
7 Ostro B, Tobias A, Querol X, Alastuey A, Amato F, Pey J, et al. The effects of particulate matter sources on daily mortality: a casecrossover study of Barcelona, Spain. Environ Health Perspect 2011;119(12):1781-1787.   DOI
8 Auchincloss AH, Gebreab SY, Mair C, Diez Roux AV. A review of spatial methods in epidemiology, 2000-2010. Annu Rev Public Health 2012;33:107-22.   DOI
9 Han D, Hwang SS. Spatial epidemiology and environmental health: on the use of spatially referenced health and environment data. J Environ Health Sci 2011;37(1):1-11 (Korean).   DOI
10 Kim J, Kang D. Spatial analysis methods for asbestos exposure research. J Environ Health Sci 2012;38(5):369-379 (Korean).
11 Beale L, Hodgson S, Abellan JJ, Lefevre S, Jarup L. Evaluation of spatial relationships between health and the environment: the rapid inquiry facility. Environ Health Perspect 2010;118(9):1306-1312.   DOI
12 Beale L, Abellan JJ, Hodgson S, Jarup L. Methodologic issues and approaches to spatial epidemiology. Environ Health Perspect 2008;116(8):1105-1110.   DOI
13 Elliott P, Wartenberg D. Spatial epidemiology: current approaches and future challenges. Environ Health Perspect 2004;112(9):998-1006.   DOI   ScienceOn
14 Park SY, Kim Y. Spatial analysis of ground level ozone in Seoul, Korea. J Korean Urban Geogr Soc 2012;15(2):39-50 (Korean).
15 Shin HS, Lee SH. Regional disparity of ambulatory health care utilization. J Korean Assoc Geogr Inf Stud 2012;15(4):138-150 (Korean).
16 Kim G. Detecting spatial autocorrelation and using spatial regression. Korean J Policy Anal Eval 2003;13(1):273-306 (Korean).
17 Kulldorffa M. A spatial scan statistic. Commun Stat Theory Methods 1997;26(6):1481-1496.   DOI   ScienceOn
18 Charlton M, Fotheringham AS. Geographically weighted regression white paper. Kildare: National University of Ireland Maynooth; 2009, p. 1-14.
19 Lee H, Shim J. GIS geomatics: theory and practice. Seoul: Bobmensa; 2011, p. 404-423 (Korean).
20 Fukuda Y, Umezaki M, Nakamura K, Takano T. Variations in societal characteristics of spatial disease clusters: examples of colon, lung and breast cancer in Japan. Int J Health Geogr 2005;4:16.   DOI   ScienceOn
21 Horst MA, Coco AS. Observing the spread of common illnesses through a community: using Geographic Information Systems (GIS) for surveillance. J Am Board Fam Med 2010;23(1):32-41.   DOI
22 Su SC, Kanarek N, Fox MG, Guseynova A, Crow S, Piantadosi S. Spatial analyses identify the geographic source of patients at a National Cancer Institute Comprehensive Cancer Center. Clin Cancer Res 2010;16(3):1065-1072.   DOI
23 Robertson C, Nelson TA. Review of software for space-time disease surveillance. Int J Health Geogr 2010;9:16.   DOI
24 Ball W, LeFevre S, Jarup L, Beale L. Comparison of different methods for spatial analysis of cancer data in Utah. Environ Health Perspect 2008;116(8):1120-1124.   DOI
25 Corburn J, Osleeb J, Porter M. Urban asthma and the neighbourhood environment in New York City. Health Place 2006;12(2): 167-179.   DOI
26 Jephcote C, Chen H. Environmental injustices of children's exposure to air pollution from road-transport within the model British multicultural city of Leicester: 2000-09. Sci Total Environ 2012; 414:140-151.   DOI
27 Katsouyanni K, Samet JM, Anderson HR, Atkinson R, Le Tertre A, Medina S, et al. Air pollution and health: a European and North American approach (APHENA). Res Rep Health Eff Inst 2009; (142):5-90.
28 Hajat A, Diez-Roux AV, Adar SD, Auchincloss AH, Lovasi GS, O'Neill MS, et al. Air pollution and individual and neighborhood socioeconomic status: evidence from the Multi-Ethnic Study of Atherosclerosis (MESA). Environ Health Perspect 2013;121(11-12): 1325-1333.
29 Pfeiffer DU, Robinson TP, Stevenson M, Stevens KB, Rogers DJ, Clements AC. Spatial analysis in epidemiology. Oxford: Oxford University Press; 2008, p. 3.