Li Cemei’s research while affiliated with University of Kuala Lumpur and other places

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Publications (1)


A longitudinal cross-lagged path model among study variables across two-time frames ie P1 & P2. **Significant at 0.01. ***Significant at 0.001.
A Longitudinal Investigation on the Reciprocal Relationship of Problematic Smartphone Use with Bedtime Procrastination, Sleep Quality, and Mental Health Among University Students
  • Article
  • Full-text available

September 2024

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90 Reads

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3 Citations

Li Cemei

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Shyamkumar Sriram

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Background Problematic smartphone use (PSU) is linked to various mental health issues, but the relationship between PSU, bedtime procrastination, and mental health symptoms is unclear. Sleep factors related to PSU and its mental health effects have been understudied. This study explores the longitudinal associations between PSU, bedtime procrastination, sleep quality, and mental health in university students. Methods In this study, a total of 683 university students participated by completing questionnaires on Smart Phone Addiction (SAS) scale, Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety Stress Scales 21 (DASS-21) across two different time points with six-months interval between them. The participants were selected using a cluster sampling technique from Quaid-e-Azam University, Islamabad, Pakistan. A cross-lagged model was utilized to assess the longitudinal association between these variables. Results Statistically significant reciprocal associations were found between PSU, bedtime procrastination, and mental health symptoms. PSU at Time 1 significantly predicted PSU at Time 2, bedtime procrastination at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Bedtime procrastination at Time 1 predicted PSU at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Sleep quality at Time 1 predicted bedtime procrastination at Time 2 and mental health symptoms at Time 2. Mental health symptoms at Time 1 predicted PSU at Time 2 and sleep quality at Time 2. Conclusion The research findings have significantly advanced understanding of the longitudinal connections between PSU, bedtime procrastination, sleep quality, and mental health indicators. This enhanced comprehension is instrumental for psychological practitioners in devising targeted interventions to mitigate such issues among the university student demographic.

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Citations (1)


... The excessive use of these smart devices, particularly during bedtime, raises concerns about their impact on students' sleep quality [4], overall well-being [5], and academic performance [6]. Late-night screen exposure can disrupt the body's circadian rhythm through both blue light emissions and heightened mental stimulation [13], often delaying sleep onset and reducing total sleep duration [14][15][16][17]. Over time, these disruptions can lead to chronic sleep debt, making students more prone to daytime drowsiness, poor concentration [4,5], and lower academic achievement [14,15]. ...

Reference:

Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey
A Longitudinal Investigation on the Reciprocal Relationship of Problematic Smartphone Use with Bedtime Procrastination, Sleep Quality, and Mental Health Among University Students