An Assessment of the Knowledge, Attitudes, and Practices Toward General Waste Segregation among the Population of the United Arab Emirates

Increases in the human population and economic development have led to a rise in waste production, which poses significant environmental risks and presents a pressing global issue in waste management. Among other countries, this situation affects the United Arab Emirates (UAE). On the other hand, poor waste segregation practices can result in failed waste recycling efforts, leading to the excessive use of resources and worsening issues (such as energy consumption, global warming, and sustainable development). Waste segregation is a crucial step in waste management, which involves dividing waste according to its characteristics and type. By following this procedure, recycling effectiveness is increased, the environmental impact is decreased, and hazardous material disposal is ensured. Beneficial waste segregation reduces contamination, making it possible to recover valuable materials and thus use fewer landfills. Even though the failings in waste segregation are a severe issue, insufficient research has been carried out. This includes research on the knowledge, attitudes, and practices (KAP) of people living in the UAE regarding waste segregation, information which is crucial to developing a successful intervention to address this problem. The current study evaluated the KAP concerning waste segregation among UAE citizens and identified correlations between KAP variables, with the primary aim of filling a research gap, while analyzing the correlations between sociodemographic characteristics and KAP levels, which was the secondary aim. This was accomplished by a cross-sectional study conducted all over the UAE. Data were collected from 391 participants using a five-point Likert scale questionnaire that was developed from previous research and investigated sociodemographic characteristics, waste segregation practices (5), attitudes (5), and knowledge (5). UAE University’s ethical committees approved this study (ERSC_2024_4360) for research, and the results were confirmed through statistical analyses and Cronbach’s alpha testing. The inclusion criteria targeted residents of the UAE who were 18 years of age or above, and the survey was distributed via an online platform (Google Forms) with non-probability sampling. G*Power statistical power analysis estimated a minimum sample size of 385 participants. To identify correlations in the results, a structural equation model (SEM) and SPSS, such as Chi-square tests and Spearman correlation coefficients, were used to