Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-07.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Correlation between Coarse Airborne Particulate Matter and Mortality Rates of Malignant Neoplasm

Correlation between Coarse Airborne Particulate Matter and Mortality Rates of Malignant Neoplasm

Article information

Korean J Health Promot. 2016;16(4):215-222
Publication date (electronic) : 2016 January 20
doi : https://doi.org/10.15384/kjhp.2016.16.4.215
Department of Family Medicine, BHS Hanseo Hospital, Busan, Korea
Corresponding author: Ji-Hyun Kim, MD Department of Family Medicine, BHS Hanseo Hospital, 615 Suyeong-ro, Suyeong-gu, Busan 48253, Korea Tel: +82-70-7321-0270, Fax: +82-51-751-4372 E-mail: kjh77960@hanmail.net
Received 2016 September 13; Accepted 2016 October 17.

Abstract

Background

There have been growing interests in harmful effects of dust particles on human health. It has been reported that dust particles negatively affected respiratory and cardiovascular systems. Relationship of dust particles and lung cancer incidence was also investigated. However, there is a lack of studies regarding the relationship between dust particles and cancers except for lung cancer. Therefore, this study aimed to determine the relationship of dust particle concentration and cancer mortality in Korea.

Methods

Average concentration of coarse dust particles (particulate matter 10, PM10) of 2008–2014 were obtained from AirKorea website and cancer mortality was found in Statistics Korea for 2008–2014. Correlation analyses using PM10 and cancer mortality were performed. Age-adjusted death rate (AADR) was used for correlation analysis because a number of death and mortality rate do not reflect population and age of death. Regional annual PM10 was matched with AADR of identical area. Correlation between two variables was presented in scatter plots and Pearson's correlation analysis was performed.

Results

PM10 concentration was positively correlated with AADR of malignant neoplasm, lung cancer, stomach cancer, colon cancer, uterus cancer, and leukemia. PM10 concentration was significantly correlated with AADR of malignant neoplasm (r=0.247, P=0.009), lung cancer (r=0.277, P=0.003), stomach cancer (r=0.434, P=0.000), colon cancer (r=0.377, P=0.000), and uterus cancer (r=0.226, P=0.017).

Conclusion

This study suggested that cancer patients or high-risk group for cancer should pay attention to PM10 concentration. Large-scale studies should investigate the relationship of PM10 concentration and cancer incidence including cancer mortality to extend understanding of this cross-section study.

Figure 1.

Changes in annual average of coarse particles (particulate matter 10: particles whose aerodynamic diameters are less than or equal to 10 µm).

Figure 2.

Pearson's correlation analysis of PM10 (particulate matter 10: particles whose aerodynamic diameters are less than or equal to 10 µm) concentrationand age adjusted death rates of malignant neoplasms, lung cancer, stomach cancer, colon cancer, uterus cancer, and leukemia.

Number of death, death rate, age adjusted death rate of cancera

Kendall's tau-b correlation coefficient of PM10 (particulate matter 10: particles whose aerodynamic diameters are less han or equal to 10 µm)concentrationand age adjusted death rates of cancer in regions of South Korea from 2008 to 2014

References

1. International Agency for Research on Cancer. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans: Outdoor Air Pollution Lyon: International Agency for Research on Cancer; 2014.
2. World Health Organization. WHO's Ambient Air Pollution database: Update 2014 Geneva: World Health Organization; 2014.
3. Hsu A, Emerson J, Levy M, de Sherbinin A, Johnson L, Malik O, et al. The 2014 environmental performance index New Haven: Yale Center for Environmental Law and Policy; 2014. p. 4701–35.
4. Ristovski ZD, Miljevic B, Surawski NC, Morawska L, Fong KM, Goh F, et al. Respiratory health effects of diesel particulate matter. Respirology 2012;17(2):201–12.
5. Dockery DW, Pope CA 3rd. Acute respiratory effects of particulate air pollution. Annu Rev Pub Health 1994;15:107–132.
6. Schwartz J. What are people dying of on high air pollution days? Environ Res 1994;64(1):26–35.
7. Katsouyanni K, Touloumi G, Spix C, Schwartz J, Balducci F, Medina S, et al. Short-term effects of ambient Sulphur dioxide and particulate matter on mortality in 12 European cities: results from time series data from the APHEA project. Air Pollution and Health: a European Approach. BMJ 1997;314(7095):1658–63.
8. Bateson TF, Schwartz J. Who is sensitive to the effects of particulate air pollution on mortality? A case-crossover analysis of effect modifiers. Epidemiology 2004;15(2):143–9.
9. Kwon HJ, Cho SH, Nyberg F, Pershagen G. Effects of ambient air pollution on daily mortality in a cohort of patients with congestive heart failure. Epidemiology 2001;12(4):413–9.
10. Hystad P, Demers PA, Johnson KC, Carpiano RM, Brauer M. Long-term residential exposure to air pollution and lung cancer risk. Epidemiology 2013;24(5):762–72.
11. She J, Yang P, Hong Q, Bai C. Lung cancer in China: challenges and interventions. Chest 2013;143(4):1117–26.
12. Evans J, van Donkelaar A, Martin RV, Burnett R, Rainham DG, Birkett NJ, et al. Estimates of global mortality attributable to particulate air pollution using satellite imagery. Environ Res 2013;120:33–42.
13. Salvador P, Artiñano B, Querol X, Alastuey A. A combined analysis of backward trajectories and aerosol chemistry to characterise long-range transport episodes of particulate matter: the Madrid air basin, a case study. Sci Total Environ 2008;390(2–3):495–506.
14. Raaschou-Nielsen O, Andersen ZJ, Beelen R, Samoli E, Stafoggia M, Weinmayr G, et al. Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 2013;14(9):813–22.
15. Chen X, Zhang LW, Huang JJ, Song FJ, Zhang LP, Qian ZM, et al. Long-term exposure to urban air pollution and lung cancer mortality: a 12-year cohort study in Northern China. Sci Total Environ 2016;571:855–61.
16. Seagrave J. Mechanisms and implications of air pollution particle associations with chemokines. Toxicol Appl Pharmacol 2008;232(3):469–77.
17. Totlandsdal AI, Cassee FR, Schwarze P, Refsnes M, Låg M. Diesel exhaust particles induce CYP1A1 and proinflammatory responses via differential pathways in human bronchial epithelial cells. Part Fibre Toxicol 2010;7:41.
18. Kang CM, Jang AS, Ahn MH, Shin JA, Kim JH, Choi YS, et al. Interleukin-25 and interleukin-13 production by alveolar macrophages in response to particles. Am J Respir Cell Mol Biol 2005;33(3):290–6.
19. Seaton A, MacNee W, Donaldson K, Godden D. Particulate air pollution and acute health effects. Lancet 1995;345(8943):176–8.
20. Zelikoff JT, Chen LC, Cohen MD, Fang K, Gordon T, Li Y, et al. Effects of inhaled ambient particulate matter on pulmonary antimicrobial immune defense. Inhal Toxicol 2003;15(2):131–50.
21. Malik AI, Storey KB. Transcriptional regulation of antioxidant enzymes by FoxO1 under dehydration stress. Gene 2011;485(2):114–9.

Article information Continued

Figure 1.

Changes in annual average of coarse particles (particulate matter 10: particles whose aerodynamic diameters are less than or equal to 10 µm).

Figure 2.

Pearson's correlation analysis of PM10 (particulate matter 10: particles whose aerodynamic diameters are less than or equal to 10 µm) concentrationand age adjusted death rates of malignant neoplasms, lung cancer, stomach cancer, colon cancer, uterus cancer, and leukemia.

Table 1.

Number of death, death rate, age adjusted death rate of cancera

  Year Number of regions Number of death Death rateb Age adjusted death ratec
Malignant 2008 16 4307.0±3343.9 150.8±35.0 126.7±8.8
neoplasms 2009 16 4361.2±3424.8 151.8±35.0 122.7±9.2
  2010 16 4503.0±3572.5 156.7±36.5 121.1±6.1
  2011 16 4473.7±3572.6 154.6±34.6 115.3±6.0
  2012 16 4596.5±3707.0 158.5±34.8 113.6±5.1
  2013 16 4694.4±3837.7 160.7±32.3 110.6±4.8
  2014 16 4773.6±3893.9 162.7±35.3 107.2±5.3
  Total 112 4529.9±3530.8 156.5±34.1 116.7±9.2
Lung cancer 2008 16 924.4±691.3 32.8±9.9 26.8±3.1
  2009 16 932.4±684.1 33.1±10.4 25.9±3.3
  2010 16 976.6±726.7 34.6±9.7 26.1±2.4
  2011 16 991.7±761.1 35.0±9.8 25.1±2.0
  2012 16 1037.5±797.8 36.3±10.0 25.1±2.2
  2013 16 1070.3±816.4 37.7±9.3 24.9±1.7
  2014 16 1086.6±836.9 37.6±10.2 23.9±2.2
  Total 112 1002.8±742.8 35.3±9.8 25.4±2.6
Stomach cancer 2008 16 644.5±484.1 22.8±5.7 19.2±2.2
  2009 16 633.4±485.6 22.1±5.7 17.7±1.9
  2010 16 626.9±489.0 22.0±5.6 16.9±1.7
  2011 16 607.4±469.1 21.1±5.3 15.7±2.0
  2012 16 581.7±463.9 20.0±5.2 14.2±1.8
  2013 16 571.9±460.3 19.6±4.4 13.5±1.3
  2014 16 554.8±431.7 19.2±4.6 12.6±1.1
  Total 112 602.9±457.7 21.0±5.3 15.7±2.8
Colon cancer 2008 16 428.4±353.0 14.9±2.8 12.6±1.4
  2009 16 444.1±381.0 15.0±3.1 12.2±1.4
  2010 16 481.3±418.0 16.1±3.5 12.3±1.5
  2011 16 482.6±407.5 16.4±3.3 12.1±1.3
  2012 16 511.1±432.8 17.4±3.7 12.1±0.8
  2013 16 515.3±442.5 17.5±3.5 11.8±1.0
  2014 16 523.3±441.7 17.7±3.7 11.3±1.2
  Total 112 483.7±402.2 16.4±3.5 12.1±1.3
Uterus cancer 2008 16 78.8±68.5 2.7±0.5 2.3±0.3
  2009 16 78.6±66.3 2.6±0.6 2.2±0.5
  2010 16 79.5±74.3 2.6±0.5 2.1±0.4
  2011 16 80.9±68.3 2.7±0.6 2.1±0.3
  2012 16 75.9±69.3 2.6±0.4 2.0±0.4
  2013 16 76.8±71.5 2.5±0.6 1.8±0.3
  2014 16 80.9±74.0 2.7±0.5 2.0±0.3
  Total 112 78.8±68.5 2.6±0.5 2.1±0.4
Leukemia 2008 16 94.2±82.0 3.2±0.7 2.9±0.4
  2009 16 96.4±87.5 3.2±0.7 2.8±0.5
  Total 32 95.3±83.4 3.2±0.7 2.8±0.5
a

Values are means±standard deviation.

b

Per 100,000.

c

Per standardized population100,000.

Table 2.

Kendall's tau-b correlation coefficient of PM10 (particulate matter 10: particles whose aerodynamic diameters are less han or equal to 10 µm)concentrationand age adjusted death rates of cancer in regions of South Korea from 2008 to 2014

  Malignant Lung Stomach Colon Liver Uterus Meninges and brain Esophagus Breast Prostate Pancreas
  neoplasm cancer cancer cancer cancer cancer cancer cancer cancer cancer cancer
  CCa P CCa P CCa P CCa P CCa P CCa P CCa P CCa P CCa P CCa P CCa P
Seoul 0.810b 0.011 –0.048 0.881 0.714b 0.024 0.429 0.176 0.905b 0.004 0.350 0.282 0.169 0.622 0.126 0.724 –0.050 0.878 0.050 0.878 –0.429 0.176
Busan 0.514 0.117 0.206 0.530 0.514 0.117 –0.053 0.874 0.514 0.117 0.649 0.055 0.264 0.428 –0.433 0.200 0.252 0.480 0.114 0.741 –0.206 0.530
Daegu 0.781b 0.015 0.586 0.068 0.781b 0.015 0.488 0.129 0.450 0.167 0.250 0.442 –0.616 0.062 –0.369 0.267 –0.098 0.761 –0.410 0.214 –0.250 0.442
Daejeon 0.586 0.068 0.685b 0.041 0.488 0.129 0.650b 0.046 0.195 0.543 0.350 0.282 –0.103 0.756 0.050 0.878 0.150 0.645 0.100 0.759 –0.195 0.543
Gwangju 0.810b 0.011 0.000 1.000 0.781b 0.015 –0.206 0.530 0.524 0.099 0.098 0.761 0.150 0.645 0.150 0.645 –0.350 0.282 –0.250 0.442 –0.143 0.652
Incheon 0.683b 0.033 0.586 0.068 0.586 0.068 0.098 0.761 0.550 0.091 0.564 0.087 0.158 0.634 –0.205 0.534 –0.293 0.362 0.150 0.645 –0.150 0.645
Ulsan 0.651b 0.046 0.651b 0.046 0.951b 0.003 0.851b 0.009 0.651b 0.046 0.108 0.751 0.158 0.637 0.308 0.351 0.053 0.875 0.053 0.875 0.250 0.442
Chungcheongnam-do 0.683b 0.033 0.488 0.129 0.878b 0.006 0.390 0.224 0.781b 0.015 0.000 1.000 –0.256 0.437 0.154 0.641 –0.450 0.167 0.150 0.645 –0.250 0.442
Chungcheongbuk-do 0.451 0.167 0.410 0.214 0.551 0.091 0.718b 0.030 0.551 0.091 –0.050 0.878 –0.053 0.875 0.308 0.351 0.000 1.000 –0.410 0.214 0.150 0.645
Gangwon-do 0.451 0.167 –0.050 0.878 0.451 0.167 –0.513 0.120 0.551 0.091 0.462 0.162 0.000 1.000 0.000 1.000 –0.103 0.756 –0.223 0.517 0.308 0.351
Gyeonggi-do 0.751b 0.021 0.551 0.091 0.751b 0.021 0.433 0.200 0.651b 0.046 0.632 0.059 0.237 0.502 0.723b 0.035 –0.263 0.432 0.178 0.608 –0.501 0.145
Gyeongsangnam-do –0.053 0.874 –0.159 0.634 –0.053 0.874 –0.159 0.634 –0.053 0.874 –0.053 0.874 0.325 0.336 –0.217 0.521 0.000 1.000 0.457 0.190 0.651 0.054
Gyeongsangbuk-do 0.195 0.543 0.098 0.761 0.195 0.543 –0.205 0.534 0.050 0.878 –0.050 0.878 –0.308 0.351 0.308 0.351 0.195 0.543 0.450 0.167 0.350 0.282
Jeju-do 0.000 1.000 –0.150 0.645 0.683b 0.033 –0.195 0.543 0.390 0.224 –0.154 0.641 –0.350 0.282 –0.158 0.634 –0.350 0.282 –0.350 0.282 –0.050 0.878
Jeollabuk-do 0.619 0.051 0.810b 0.011 0.714b 0.024 –0.524 0.099 0.619 0.051 0.514 0.117 –0.411 0.210 0.651b 0.046 –0.150 0.645 –0.429 0.176 –0.048 0.881
Jeollanam-do 0.053 0.874 0.265 0.427 0.265 0.427 0.108 0.748 0.108 0.748 –0.294 0.403 –0.217 0.521 0.250 0.481 –0.217 0.521 0.217 0.521 –0.171 0.620

Kendall's tau-b (τb) correlation coefficient.

b

Statistically significant correlation.