ISSN: 2226-6348
Open access
The purpose of this study is to determine how Autonomous Sensory Meridian Response (ASMR) affects diploma students' sleep quality in Selangor, Malaysia. ASMR has become more well-known as a calming technique on online video sharing sites like YouTube. Empirical studies on the benefits of ASMR, especially in terms of bettering sleep quality, are still scarce despite the practice's expanding popularity. The goal is to determine whether ASMR can be used as a non-pharmacological intervention to enhance the quality of students' sleep, as many of them struggle with poor sleep as a result of lifestyle choices and academic demands.
The study uses a quantitative research design. A self-administered questionnaire was used to gather data from 335 diploma students at 13 different educational institutions in Selangor. The Pittsburgh Sleep Quality Index (PSQI) and the ASMR-15 were included in the questionnaire to gauge sleep quality and ASMR experiences, respectively. ANOVA and regression analysis are two examples of descriptive and inferential statistical analyses that were done to investigate the connection between ASMR use and sleep quality. The results of the study showed that students' sleep quality is positively impacted by ASMR use. A minor but statistically significant link between using ASMR and better sleep outcomes was found by regression analysis, with a coefficient of (B = 0.093, p = 0.013). The ANOVA findings also showed substantial variations in sleep quality among various demographic groups. The results imply that ASMR may be a useful non-drug strategy to enhance students' sleep quality. The study relates to the conclusion that Selangor diploma students' sleep quality could be significantly improved by ASMR. The usefulness of ASMR as a sleep aid is highlighted by the favorable association found between its consumption and sleep results. To further validate these findings, future research should try to extend the study's scope to encompass bigger and more diverse groups, use longitudinal designs, and make use of cutting-edge sleep assessment methods.
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