Predicting Depression From Bedtime Procrastination and Smartphone Dependency

Authors

    Amirul Iskandar * Department of Psychology, University of Malaya, Kuala Lumpur, Malaysia amirul@um.edu.my

Keywords:

Depression, Bedtime Procrastination, Smartphone Dependency, Behavioral Predictors, Sleep Hygiene, Mental Health

Abstract

This study aimed to investigate the predictive roles of bedtime procrastination and smartphone dependency on depression among Malaysian adults. A correlational descriptive design was employed, involving a sample of 419 participants selected based on the Morgan and Krejcie sampling table. Standardized self-report instruments were used: the Beck Depression Inventory-II (BDI-II) for depression, the Bedtime Procrastination Scale (BPS), and the Smartphone Addiction Scale-Short Version (SAS-SV). Data were analyzed using SPSS version 27. Pearson correlation analysis was conducted to examine the relationships between depression and each independent variable, followed by multiple linear regression analysis to assess the combined predictive power of bedtime procrastination and smartphone dependency on depressive symptoms. Pearson correlation results indicated that both bedtime procrastination (r = .46, p < .001) and smartphone dependency (r = .52, p < .001) were significantly and positively correlated with depression. The regression model was statistically significant (F(2, 416) = 105.72, p < .001), with an R² of .34, suggesting that 34% of the variance in depression was explained by the two predictors. Both bedtime procrastination (B = 0.39, β = .28, p < .001) and smartphone dependency (B = 0.47, β = .41, p < .001) were significant individual predictors of depression. The findings highlight bedtime procrastination and smartphone dependency as significant behavioral predictors of depression. These results underscore the importance of addressing nighttime behavioral habits and digital overuse in mental health prevention and intervention strategies, particularly among young adults. Implementing behaviorally focused interventions targeting sleep routines and technology use may contribute to the reduction of depressive symptoms in at-risk populations.

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Published

2024-07-01

Submitted

2024-05-06

Revised

2024-06-17

Accepted

2024-06-23

How to Cite

Iskandar, A. (2024). Predicting Depression From Bedtime Procrastination and Smartphone Dependency. Mental Health and Lifestyle Journal, 2(3), 34-43. https://mhljournal.com/index.php/mhlj/article/view/29

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