Exploring the Impact of Technology Adoption and Environmental Noise Pollution on Elderly Patients with Non-Communicable Diseases in Malaysia

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.