DOI QR코드

DOI QR Code

Particulate matter concentration effects on attention to environmental issues: a cross-sectional study among residents in Korea's Pohang Industrial Complex

  • Hye-seung Ryu (Department of Occupational and Environmental Medicine, Keimyung University Dongsan Medical Center) ;
  • Jea Chul Ha (Department of Occupational and Environmental Medicine, Keimyung University Dongsan Medical Center) ;
  • Insung Chung (Department of Occupational and Environmental Medicine, Keimyung University Dongsan Medical Center) ;
  • Seonhee Yang (Department of Occupational and Environmental Medicine, Dongguk University Gyeongju Hospital) ;
  • Hyunjoo Kim (Department of Occupational and Environmental Medicine, Ewha Womans University Mokdong Hospital) ;
  • Sung-Deuk Choi (Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology(UNIST))
  • 투고 : 2023.03.31
  • 심사 : 2023.07.17
  • 발행 : 2023.12.31

초록

Background: With modernization, air pollution has become increasingly serious, and its effects on health have been revealed. As a result, public interest in environmental pollution has become critical for regulating air pollution. In our study, we aim to evaluate the impact of air pollution levels on public attention to environmental issues and examine whether awareness of the residential environment's impact on health acts as a mediator in this relationship. Methods: We conducted an analysis on 400 individuals surveyed in the preliminary feasibility study on adverse health effects in the Pohang Industrial Complex, to examine the relationship between particulate matter 2.5 (PM2.5) and attention to environmental issues. Logistic regression analysis was performed, and mediation analysis was used to determine whether awareness of the residential environment's impact on health mediated the relationship. Results: The logistic regression analysis results showed that PM2.5 levels were associated with attention to environmental issues (adjusted odds ratio [AOR]: 2.1; 95% confidence interval [CI]: 1.3-3.5; p = 0.003) and awareness of health impacts (AOR: 3.4; 95% CI: 1.6-7.1; p = 0.001). The PM2.5 levels showed 9.9% (95% CI: 5.4-14.0) increase in the prevalence of high attention to environmental issues, of which, only 1.0% (95% CI: 0.2-2.3) were mediated by health impact awareness. In the overall analysis, 10% of the total effect of PM2.5 on attention to environmental issues was mediated by health impact awareness. Conclusions: According to this study's results, there was a correlation between air pollution levels and attention to environmental issues. Awareness of the health impacts of air pollution partially mediated the effect of air pollution levels on attention to environmental issues. In future studies, it is recommended to identify other mediators to further understand this structure.

키워드

참고문헌

  1. Brook RD, Franklin B, Cascio W, Hong Y, Howard G, Lipsett M, et al. Air pollution and cardiovascular disease: a statement for healthcare professionals from the Expert Panel on Population and Prevention Science of the American Heart Association. Circulation 2004;109(21):2655-71. 
  2. Dominici F, Peng RD, Bell ML, Pham L, McDermott A, Zeger SL, et al. Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 2006;295(10):1127-34. 
  3. Helfand WH, Lazarus J, Theerman P. Donora, Pennsylvania: an environmental disaster of the 20th century. Am J Public Health 2001;91(4):553. 
  4. Kampa M, Castanas E. Human health effects of air pollution. Environ Pollut 2008;151(2):362-7. 
  5. O'Donnell MJ, Fang J, Mittleman MA, Kapral MK, Wellenius GA; Investigators of the Registry of Canadian Stroke Network. Fine particulate air pollution (PM2.5) and the risk of acute ischemic stroke. Epidemiology 2011;22(3):422-31. 
  6. Rich DQ, Kim MH, Turner JR, Mittleman MA, Schwartz J, Catalano PJ, et al. Association of ventricular arrhythmias detected by implantable cardioverter defibrillator and ambient air pollutants in the St Louis, Missouri metropolitan area. Occup Environ Med 2006;63(9):591-6. 
  7. Wang C, Chu Z, Gu W. Assessing the role of public attention in China's wastewater treatment: a spatial perspective. Technol Forecast Soc Change 2021;171:120984. 
  8. Xu G, Feng X, Li Y, Jia J. Mediation effects of online public attention on the relationship between air pollution and precautionary behavior. J Manag Sci Eng 2022;7(1):159-72. 
  9. Dong D, Xu X, Xu W, Xie J. The relationship between the actual level of air pollution and residents' concern about air pollution: evidence from Shanghai, China. Int J Environ Res Public Health 2019;16(23):4784. 
  10. Lu Y, Wang Y, Zuo J, Jiang H, Huang D, Rameezdeen R. Characteristics of public concern on haze in China and its relationship with air quality in urban areas. Sci Total Environ 2018;637-638:1597-606. 
  11. Tao Z, Kokas A, Zhang R, Cohan DS, Wallach D. Inferring atmospheric particulate matter concentrations from Chinese social media data. PLoS One 2016;11(9):e0161389. 
  12. Scire JS, Strimaitis DG, Yamartino RJ. A User's Guide for the CALPUFF Dispersion Model. Concord, MA, USA: Earth Tech, Inc.; 2000.
  13. Hicks R, Tingley D. Causal mediation analysis. Stata J 2011;11(4):605-19. 
  14. Wang S, Paul MJ, Dredze M. Social media as a sensor of air quality and public response in China. J Med Internet Res 2015;17(3):e22. 
  15. Egondi T, Kyobutungi C, Ng N, Muindi K, Oti S, van de Vijver S, et al. Community perceptions of air pollution and related health risks in Nairobi slums. Int J Environ Res Public Health 2013;10(10):4851-68. 
  16. Orru K, Nordin S, Harzia H, Orru H. The role of perceived air pollution and health risk perception in health symptoms and disease: a population-based study combined with modelled levels of PM10. Int Arch Occup Environ Health 2018;91(5):581-9. 
  17. Atari DO, Luginaah IN, Fung K. The relationship between odour annoyance scores and modelled ambient air pollution in Sarnia, "Chemical Valley", Ontario. Int J Environ Res Public Health 2009;6(10):2655-75. 
  18. Brody SD, Peck BM, Highfield WE. Examining localized patterns of air quality perception in Texas: a spatial and statistical analysis. Risk Anal 2004;24(6):1561-74.
  19. Oglesby L, Kunzli N, Monn C, Schindler C, Ackermann-Liebrich U, Leuenberger P. Validity of annoyance scores for estimation of long term air pollution exposure in epidemiologic studies: the Swiss Study on Air Pollution and Lung Diseases in Adults (SAPALDIA). Am J Epidemiol 2000;152(1):75-83. 
  20. Tellez-Rojo MM, Rothenberg SJ, Texcalac-Sangrador JL, Just AC, Kloog I, Rojas-Saunero LP, et al. Children's acute respiratory symptoms associated with PM2.5 estimates in two sequential representative surveys from the Mexico City Metropolitan Area. Environ Res 2020;180:108868. 
  21. Sugiyama T, Ueda K, Seposo XT, Nakashima A, Kinoshita M, Matsumoto H, et al. Health effects of PM2.5 sources on children's allergic and respiratory symptoms in Fukuoka, Japan. Sci Total Environ 2020;709:136023. 
  22. Afroz R, Hassan MN, Ibrahim NA. Review of air pollution and health impacts in Malaysia. Environ Res 2003;92(2):71-7. 
  23. To T, Zhu J, Larsen K, Simatovic J, Feldman L, Ryckman K, et al. Progression from asthma to chronic obstructive pulmonary disease. Is air pollution a risk factor? Am J Respir Crit Care Med 2016;194(4):429-38. 
  24. Tiotiu AI, Novakova P, Nedeva D, Chong-Neto HJ, Novakova S, Steiropoulos P, et al. Impact of air pollution on asthma outcomes. Int J Environ Res Public Health 2020;17(17):6212. 
  25. Chen J, Peng L, He S, Li Y, Mu Z. Association between environmental factors and hospital visits among allergic patients: a retrospective study. Asian Pac J Allergy Immunol 2016;34(1):21-9. 
  26. Bickerstaff K. Risk perception research: socio-cultural perspectives on the public experience of air pollution. Environ Int 2004;30(6):827-40. 
  27. Shapiro MA, Bolsen T. Transboundary air pollution in South Korea: an analysis of media frames and public attitudes and behavior. East Asian Community Rev 2018;1(3-4):107-26.