Mitigating the Respiratory Health Impacts of Air Pollution on Urban Youth: An Analysis of Policy, Community and Individual Protective Responses

Authors

  • Hai Binh Nguyen Ministry of Construction, Vietnam
  • Minh Chinh Pham Vinschool Central Park, Vietnam

DOI:

https://doi.org/10.54536/ijphn.v2i2.8195

Keywords:

Air Pollution, Community Action, Environmental Policy, PLS-SEM, Protective Behaviour, Respiratory Health, Urban Youth

Abstract

Air pollution is an increasingly consequential environmental health risk for young people in rapidly urbanizing areas. Yet respiratory risk is shaped not only by pollutant exposure but also by policy effectiveness, community support and individual protective behaviour. This study develops and tests a multilevel framework integrating air-pollution exposure, policy management and control, community action, youth protective awareness and respiratory health symptoms. The original dataset contained 438 questionnaire records. Following screening for substantial non-response and straight-line answering, 421 cases were retained for partial least squares structural equation modelling. The measurement model achieved acceptable internal consistency and convergent validity: Cronbach’s alpha ranged from 0.785 to 0.822, composite reliability from 0.854 to 0.876, and average variance extracted from 0.540 to 0.586. Air-pollution exposure significantly increased respiratory symptoms (β = 0.324, p < 0.001). Policy management strengthened community action, while policy management, community support and perceived exposure promoted youth protective behaviour. However, policy, community and individual protective constructs did not directly reduce respiratory symptoms. The findings indicate that awareness and personal precautions cannot substitute for source-oriented emission control. An integrated intervention architecture is proposed, combining enforceable urban regulation, school- and community-based risk communication, real-time air-quality information and practical exposure-reduction measures. 

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Chaudhuri, S., & Kumar, A. (2022). Urban greenery for air pollution control: A meta-analysis of current practice, progress, and challenges. Environmental Monitoring and Assessment, 194, Article 235. https://doi.org/10.1007/s10661-022-09808-w

Cori, L., Donzelli, G., Gorini, F., Bianchi, F., & Curzio, O. (2020). Risk perception of air pollution: A systematic review focused on particulate matter exposure. International Journal of Environmental Research and Public Health, 17(17), Article 6424. https://doi.org/10.3390/ijerph17176424

Ferreira, A. M. C., & Cardoso, M. (2014). Indoor air quality and health in schools. Jornal Brasileiro de Pneumologia, 40(3), 259–268. https://doi.org/10.1590/S1806-37132014000300009

Garcia, E., Rice, M. B., & Gold, D. R. (2021). Air pollution and lung function in children. Journal of Allergy and Clinical Immunology, 148(1), 1–14. https://doi.org/10.1016/j.jaci.2021.05.006

Guo, C., Zhang, Z., Lau, A. K. H., Lin, C. Q., Chuang, Y. C., Chan, J., Jiang, W. K., Tam, T., Yeoh, E. K., Chan, T. C., & Lao, X. Q. (2019). Long-term exposure to ambient fine particulate matter (PM2.5) and lung function in children, adolescents, and young adults: A longitudinal cohort study. Environmental Health Perspectives, 127(12), Article 127008. https://doi.org/10.1289/EHP5220

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Jhun, I., Gaffin, J. M., Coull, B. A., Huffaker, M. F., Petty, C. R., Sheehan, W. J., Baxi, S. N., Yodying, J., Glaeser, S. P., Lai, P. S., & Phipatanakul, W. (2017). School environmental intervention to reduce particulate pollutant exposures for children with asthma. Journal of Allergy and Clinical Immunology: In Practice, 5(1), 154–159.e3. https://doi.org/10.1016/j.jaip.2016.07.018

Laumbach, R. J., Meng, Q., & Kipen, H. M. (2020). Individual- and household-level interventions to reduce air pollution exposures and health risks: A review of the recent literature. Current Environmental Health Reports, 7, 424–440. https://doi.org/10.1007/s40572-020-00296-z

Lung, S.-C. C., Hien, T. T., Cambaliza, M. O. L., Hlaing, O. M. T., Oanh, N. T. K., Latif, M. T., Lestari, P., Salam, A., Lee, S.-Y., Wang, W.-C. V., Tsou, M.-C. M., Cong-Thanh, T., Cruz, M. T., Tantrakarnapa, K., Othman, M., Roy, S., Dang, T. N., & Agustian, D. (2022). Research priorities of applying low-cost PM2.5 sensors in Southeast Asian countries. International Journal of Environmental Research and Public Health, 19(3), Article 1522. https://doi.org/10.3390/ijerph19031522

Saleh, S., Shepherd, W., Jewell, C., Lam, N. L., Balmes, J., Bates, M. N., Lai, P. S., Ochieng, C. A., Chinouya, M., & Mortimer, K. (2020). Air pollution interventions and respiratory health: A systematic review. The International Journal of Tuberculosis and Lung Disease, 24(2), 150–164. https://doi.org/10.5588/ijtld.19.0417

Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: A software review. Journal of Marketing Analytics, 7(3), 196–202. https://doi.org/10.1057/s41270-019-00058-3

UNICEF Viet Nam. (2024, June 5). Viet Nam’s heavy air pollution needs stronger action. https://www.unicef.org/vietnam/stories/viet-nams-heavy-air-pollution-needs-stronger-action

Ward, F., Lowther-Payne, H. J., Halliday, E. C., Dooley, K., Joseph, N., Livesey, R., Moran, P., Thomas, E., Waddington, C., & Clough, A. (2022). Engaging communities in addressing air quality: A scoping review. Environmental Health, 21, Article 89. https://doi.org/10.1186/s12940-022-00896-2

World Health Organization. (2021). WHO global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide.

World Health Organization. (2024, October 24). Ambient (outdoor) air pollution. https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health

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Published

2026-08-28

How to Cite

Nguyen, H. B. ., & Pham, M. C. . (2026). Mitigating the Respiratory Health Impacts of Air Pollution on Urban Youth: An Analysis of Policy, Community and Individual Protective Responses. International Journal of Public Health and Nursing, 2(2), 110-116. https://doi.org/10.54536/ijphn.v2i2.8195

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