Effect of Health Education on Environmental Pollution as a Primary Factor in Sustainable Development

Year 2024, Volume: 9 Issue: 2, 460 - 471, 30.10.2024

Fernando Escobedo , Rosa Clavijo-lópez Elia Anacely Córdova Calle Sandra Ruiz Correa Ancelmo García García Fernando Willy Morillo Galarza Alcides Muñoz Ocas César Augusto Flores-tananta

https://doi.org/10.28978/nesciences.1574456

Abstract

Environmental Pollution (EP) is an escalating worldwide issue affecting the entire planet. Environmental consciousness plays a crucial role in addressing EP's problems. Environmental Education (EE) is one of the methods used to instill these ideals in individuals. EE is a critical determinant of enhancing the condition of the ecosystem, and it is imperative to get instruction from a young age. Instructors influence children's interests, mindsets, and beliefs on environmental issues and their associated difficulties in Peru. The significance of EE is exceedingly elevated. This significantly impacts the nation's Economic Development (ED) and Public Health (PH). The Sustainable Development Goals (SDGs) serve as a comprehensive plan for achieving a more prosperous and environmentally responsible future for everyone. The establishment of SDGs aims to eliminate poverty, protect against natural calamities, and provide universal prosperity and security. This study investigates educators' potential, perspectives, and opinions in instructing the subject of EP and PH. The research documents the correlation between EE and EP in Peru. The primary objective was to engage with instructors and ascertain their capacity to educate students about EP. The requisite information was acquired by a survey (240 participants) distributed to all pertinent elementary and secondary schools. The mean yearly number of classes taught is just 2.62, although the preferred number of lessons, as indicated by the instructors, is considerably more. Instructors find water and air contamination particularly intriguing among the various forms of pollution. When instructors mediate the curriculum, they prioritize respecting both living and inanimate nature, focusing on living nature for 19% of their efforts. Several instructors continue to depend on inadequate technological advancement, which is restricted by nature protection (2%). According to instructors, the conversation technique (34%) is a frequently used approach to engage students in learning about the issue of contamination. Studies have indicated that instructors believe that to address the concerns adequately, the number of classes devoted to this topic should be increased threefold. The collected results validate educators' endeavors in addressing environmental contamination, which is a positive trajectory.

Keywords

Health education, environmental pollution, sustainable development, contamination

References

• Acosta Castellanos, P. M., & Queiruga-Dios, A. (2022). From environmental education to education for sustainable development in higher education: a systematic review. International Journal of Sustainability in Higher Education, 23(3), 622-644.
• Apostolakis, G. N., Floros, C., Gkillas, K., & Wohar, M. (2021). Financial stress, economic policy uncertainty, and oil price uncertainty. Energy Economics, 104, 105686. https://doi.org/10.1016/j.eneco.2021.105686.
• Araújo Alves, J., Neto Paiva, F., Torres Silva, L., & Remoaldo, P. (2020). Low-frequency noise and its main effects on human health—A review of the literature between 2016 and 2019. Applied Sciences, 10(15), 5205. https://doi.org/10.3390/app10155205
• Ayamba, E. C., Haibo, C., Abdul-Rahaman, A. R., Serwaa, O. E., & Osei-Agyemang, A. (2020). The impact of foreign direct investment on sustainable development in China. Environmental Science and Pollution Research, 27, 25625-25637.
• Camanho, A. S., Silva, M. C., Piran, F. S., & Lacerda, D. P. (2024). A literature review of economic efficiency assessments using Data Envelopment Analysis. European Journal of Operational Research, 315(1), 1-18.
• Chang, H. Y., Wang, W., & Yu, J. (2021). Revisiting the environmental Kuznets curve in China: A spatial dynamic panel data approach. Energy Economics, 104, 105600. https://doi.org/10.1016/j.eneco.2021.105600.
• Chen, J., Fang, J., Zhang, Y., Xu, Z., Byun, H. M., Li, P. H., & Wu, S. (2021). Associations of adverse pregnancy outcomes with high ambient air pollution exposure: Results from the Project ELEFANT. Science of the Total Environment, 761, 143218. https://doi.org/10.1016/j.scitotenv.2020.143218.
• Chiu, M., Gatov, E., Fung, K., Kurdyak, P., & Guttmann, A. (2020). Deconstructing The Rise In Mental Health–Related ED Visits Among Children And Youth In Ontario, Canada: Study examines the rise in mental health-related emergency department visits among children and youth in Ontario. Health Affairs, 39(10), 1728-1736.
• Clementine, G., Willy, S., Thomas, P., Kaitai, L., & Duncan, S.W. (2014). Empowering Personal Health Records with Cloud Computing. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 5(4), 3-28.
• Dkhili, H. (2023). Investigating the theory of environmental Kuznets curve (EKC) in MENA countries. Journal of the Knowledge Economy, 14(3), 2266-2283.
• Durmuş, E., & Kınacı, M. K. (2021). Opinions of social studies teacher education students about the impact of environmental education on ecological literacy. Review of International Geographical Education Online, 11(2), 482-501.
• Glencross, D. A., Ho, T. R., Camina, N., Hawrylowicz, C. M., & Pfeffer, P. E. (2020). Air pollution and its effects on the immune system. Free Radical Biology and Medicine, 151, 56-68.
• Hao, Y., Chen, Y. F., Liao, H., & Wei, Y. M. (2020). China's fiscal decentralization and environmental quality: theory and an empirical study. Environment and Development Economics, 25(2), 159-181.
• Hong, J., & Chun, H. (2023). A prediction model for healthcare time-series data with a mixture of deep mixed effect models using Gaussian processes. Biomedical Signal Processing and Control, 84, 104753. https://doi.org/10.1016/j.bspc.2023.104753
• Knežević, D., & Knežević, N. (2019). Air Pollution-Present and Future Challenges, Case Study Sanitary Landfill Brijesnica in Bijeljina. Archives for Technical Sciences, 1(20), 73–80.
• Kodric, Z., Vrhovec, S., & Jelovcan, L. (2021). Securing edge-enabled smart healthcare systems with blockchain: A systematic literature review. Journal of Internet Services and Information Security, 11(4), 19-32.
• Liu, J., Varghese, B. M., Hansen, A., Xiang, J., Zhang, Y., Dear, K., & Bi, P. (2021). Is there an association between hot weather and poor mental health outcomes? A systematic review and meta-analysis. Environment international, 153, 106533. https://doi.org/10.1016/j.envint.2021.106533
• Llopiz-Guerra, K., Daline, U.R., Ronald, M.H., Valia, L.V.M., Jadira, D.R.J.N., Karla, R.S. (2024). Importance of Environmental Education in the Context of Natural Sustainability. Natural and Engineering Sciences, 9(1), 57-71.
• Mercan, G., & Selçuk, Z. V. (2023). Environmental Education in Non-Governmental Organizations: The Significant Contributions of United Nations Units. Journal of Multidisciplinary Studies in Education, 7(3), 102-111.
• Neelima, S., Govindaraj, M., Subramani, D. K., ALkhayyat, A., & Mohan, D. C. (2024). Factors influencing data utilization and performance of health management information systems: A case study. Indian Journal of Information Sources and Services, 14(2), 146-152. https://doi.org/10.51983/ijiss-2024.14.2.21
• Pan, D., Hong, W., & He, M. (2022). Can campaign-style enforcement facilitate water pollution control? Learning from China's Environmental Protection Interview. Journal of Environmental Management, 301, 113910. https://doi.org/10.1016/j.jenvman.2021.113910
• Parish, S. T., Aschner, M., Casey, W., Corvaro, M., Embry, M. R., Fitzpatrick, S., & Boobis, A. (2020). An evaluation framework for new approach methodologies (NAMs) for human health safety assessment. Regulatory Toxicology and Pharmacology, 112, 104592. https://doi.org/10.1016/j.yrtph.2020.104592
• Pizzi, S., Caputo, A., Corvino, A., & Venturelli, A. (2020). Management research and the UN sustainable development goals (SDGs): A bibliometric investigation and systematic review. Journal of cleaner production, 276, 124033. Ahttps://doi.org/10.1016/j.jclepro.2020.124033
• Rosoł, M., Młyńczak, M., & Cybulski, G. (2022). Granger causality test with nonlinear neural-network-based methods: Python package and simulation study. Computer Methods and Programs in Biomedicine, 216, 106669. https://doi.org/10.1016/j.cmpb.2022.106669
• Shen, Z., Liu, N., Li, X., & Kang, Z. (2022). A Method for Evaluating the Green Economic Efficiency of Resource‐Based Cities Based on Neural Network Improved DEA Model. Computational Intelligence and Neuroscience, 2022(1), 9521107. https://doi.org/10.1155/2022/9521107.
• Uddin, M. G., Nash, S., & Olbert, A. I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. https://doi.org/10.1016/j.ecolind.2020.107218.
• Xing, L., Khan, Y. A., Arshed, N., & Iqbal, M. (2023). Investigating the impact of economic growth on environment degradation in developing economies through STIRPAT model approach. Renewable and Sustainable Energy Reviews, 182, 113365. https://doi.org/10.1016/j.rser.2023.113365
• Xu, H., Jia, Y., Sun, Z., Su, J., Liu, Q. S., Zhou, Q., & Jiang, G. (2022). Environmental pollution is a hidden culprit for health issues. Eco-Environment & Health, 1(1), 31-45.
• Yu, H., Wang, J., Hou, J., Yu, B., & Pan, Y. (2023). The effect of economic growth pressure on green technology innovation: Do environmental regulation, government support, and financial development matter?. Journal of Environmental Management, 330, 117172. https://doi.org/10.1016/j.jenvman.2022.117172
• Zhao, Y., Chang, H., Liu, X., Bisinella, V., & Christensen, T. H. (2022). Climate change impact of the development in household waste management in China. Environmental Science & Technology, 56(12), 8993-9002.