Issue |
E3S Web Conf.
Volume 621, 2025
Second International Conference on Green Energy, Environmental Engineering and Sustainable Technologies 2024 (ICGEST 2024)
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Article Number | 03023 | |
Number of page(s) | 11 | |
Section | Sustainable Technology for Environmental Protection | |
DOI | https://doi.org/10.1051/e3sconf/202562103023 | |
Published online | 19 March 2025 |
Exploring the Impact of Technology Adoption and Environmental Noise Pollution on Elderly Patients with Non-Communicable Diseases in Malaysia
Faculty of Management, Multimedia University, Cyberjaya, Malaysia
* Corresponding author: malarvizhi@mmu.edu.my
This research investigates the impact of technology adoption and environmental noise pollution on elderly patients with non-communicable diseases (NCDs) in Malaysia. Utilizing a mixed-methods approach, primary data collection through structured surveys and secondary data analysis of existing datasets provides insights into technology adoption patterns, noise pollution exposure, health outcomes, and perceived impacts among elderly NCD patients. SmartPLS will examine the links between the key variables and the behavioural intention to use IoT among elderly NCD patients. However, this study will apply the unit root test, Johansen Cointegration test, VECM, and Granger Causality Test for secondary data to examine the correlation between the variables. Integrating primary and secondary data analysis, the study elucidates the complex interplay between technology adoption, noise pollution, and health outcomes among elderly NCD patients. Implications for public health policy, urban planning, and community interventions to promote healthy aging and mitigate environmental stressors are discussed. This research contributes to advancing knowledge on the health challenges facing elderly populations in Malaysia and informs evidence-based strategies for improving the well-being of elderly NCD patients in the digital age.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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