Moderating Effect of Smartphone Use Between Loneliness and Bedtime Procrastination Among Adolescents

Authors

  • Job A. Pucyutan School of Graduate Studies, Laguna College of Business and Arts, Calamba City, Laguna, Philippines

DOI:

https://doi.org/10.69569/jip.2025.632

Keywords:

Adolescents, Bedtime procrastination, Loneliness, Moderation, Smartphone use

Abstract

This study investigated whether smartphone use moderated the relationship between loneliness and bedtime procrastination among adolescents. Using a quantitative research design, data were gathered from 202 students aged 12 to 19 in public and private schools in Tanauan City, Batangas, through simple random sampling. Standardized tools were utilized: the De Jong Gierveld Loneliness Scale for emotional (α = .67 to .74) and social loneliness (α = .70 to .73), the Bedtime Procrastination Scale (α = .92), and the Smartphone Use Scale (α = .71). Statistical methods such as mean, standard deviation, Pearson correlation, and moderation analysis using Hayes' Process Macro were employed to analyze the data. The results showed that the respondents experienced both emotional and social loneliness, alongside a slightly elevated level of bedtime procrastination and moderate smartphone use. A significant relationship was found between social loneliness and emotional loneliness and bedtime procrastination, with r-values of .311 and .321, respectively, and p-values of .000, indicating a low but positive correlation. This suggested that higher levels of loneliness were associated with increased bedtime procrastination among adolescents. However, smartphone use was not found to significantly moderate this relationship, as indicated by the results of the moderation analysis [B = -0.021, F(1, 198) = 30.454, p = 0.726]. Thus, the effect of loneliness on bedtime procrastination remained consistent regardless of the level of smartphone use. These results suggest that interventions targeting adolescents’ emotional and social well-being, by fostering meaningful social connections, promoting self-regulation, and encouraging balanced smartphone use, may be more effective in reducing bedtime procrastination than strategies focused solely on technology use. Based on these findings, a program was proposed to help reduce feelings of loneliness, manage bedtime procrastination, and encourage healthier smartphone habits among adolescents.

Downloads

Download data is not yet available.

References

Abu-Bader, S., & Jones, T. V. (2021). Statistical mediation analysis using the Sobel test and Hayes SPSS process macro. International Journal of Quantitative and Qualitative Research Methods. Available at SSRN: https://ssrn.com/abstract=3799204

Azizi, A., Emamian, M. H., Hashemi, H., & Fotouhi, A. (2024). Smartphone addiction in Iranian schoolchildren: A population-based study. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-73816-8

Barella, Y., Fergina, A., Mustami, M., Rahman, U., & Alajaili, H. (2024). Quantitative methods in scientific research. Jurnal Pendidikan Sosiologi dan Humaniora, 15, 281. https://doi.org/10.26418/j-psh.v15i1.71528

Barreto, M., Victor, C., Hammond, C., Eccles, A., Richins, M., & Qualter, P. (2020). Loneliness around the world: Age, gender, and cultural differences in loneliness. Personality and Individual Differences, 169, 110066. https://doi.org/10.1016/j.paid.2020.110066

Blbas, H. (2024). Descriptive statistics. IntechOpen. https://doi.org/10.5772/intechopen.1002179

Buctot, D., Kim, N., & Kim, J. (2020). Factors associated with smartphone addiction prevalence and its predictive capacity for health-related quality of life among Filipino adolescents. Children and Youth Services Review, 110, 104758. https://doi.org/10.1016/j.childyouth.2020.104758

Buctot, D., Kim, N., & Kim, S. -H. (2021). Personal profiles, family environment, patterns of smartphone use, nomophobia, and smartphone addiction across low, average, and high perceived academic performance levels among high school students in the Philippines. International Journal of Environmental Research and Public Health, 18(10), 5219. https://doi.org/10.3390/ijerph18105219

Casaclang, R., Manahan, J., Pineda, D. C., Villaflor, N., & Damirson, A. (2023). Wake up or stay up?: The correlation of sleep quality and task workload to academic performance of UST graduate and undergraduate students during the COVID-19 pandemic. 2220–2230. https://doi.org/10.46254/AN13.20230591

Chan, S., Yeo, K. J., & Handayani, L. (2023). Types of smartphone usage and problematic smartphone use among adolescents: A review of the literature. International Journal of Evaluation and Research in Education (IJERE), 12(2), 563. https://doi.org/10.11591/ijere.v12i2.22909

Chen, S., Liao, J., Wang, X., Wei, M., & Liu, Y. (2023). Bidirectional relations between problematic smartphone use and bedtime procrastination among Chinese university students: Self-control as a mediator. Sleep Medicine, 112, 53–62. https://doi.org/10.1016/j.sleep.2023.09.033

Chia, L., & Promchertchoo, P. (2024). Gen Z Filipinos are the loneliest youths in Southeast Asia, struggling despite being digitally connected. Channel News Asia. https://tinyurl.com/3kur27fp

Dadas, A. (2021). Study of behavior of students towards usage of smartphone in management institutes with reference to pune city. Human Resource Management, 6.

Díaz-Mardomingo, M. C., Utrera, L., Baliyan, S., García-Herranz, S., Suárez Falcón, J. C., Rodríguez, R., Sampedro Piquero, P., Valencia, A., & Venero, C. (2023). Sex-related differences in the associations between diurnal cortisol pattern and social and emotional loneliness in older adults. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1199405

Giordano, F., Calaresi, D., Saladino, V., & Verrastro, V. (2025). Perception of loneliness in adolescence: Role of maladaptive personality traits and trauma-related symptomatology. Brain Sciences, 15(1), 86. https://doi.org/10.3390/brainsci15010086

Haibo, Y., Liu, B., & Fang, J. (2021). Stress and problematic smartphone use severity: Smartphone use frequency and fear of missing out as mediators. Frontiers in Psychiatry, 12, 659288. https://doi.org/10.3389/fpsyt.2021.659288

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.

Hemberg, J., Östman, L., Korzhina, Y., Groundstroem, H., Nyström, L., & Nyman-Kurkiala, P. (2022). Loneliness as experienced by adolescents and young adults: An explorative qualitative study. International Journal of Adolescence and Youth, 27(1), 362–384. https://doi.org/10.1080/02673843.2022.2109422

Hemberg, J., Sundqvist, A., Korzhina, Y., Östman, L., Gylfe, S., Gädda, F., & Nyman-Kurkiala, P. (2024). Being young in times of uncertainty and isolation: Adolescents’ experiences of well-being, health, and loneliness during the COVID-19 pandemic. International Journal of Adolescence and Youth, 29(1). https://doi.org/10.1080/02673843.2024.2302102

Herzog-Krzywoszanska, R., Krzywoszanski, L., & Kargul, B. (2024). General procrastination and bedtime procrastination as serial mediators of the relationship between temporal perspective and sleep outcomes. Scientific Reports, 14, Article 82523. https://doi.org/10.1038/s41598-024-82523-3

Janse, R. J., Hoekstra, T., Jager, K. J., Zoccali, C., Tripepi, G., Dekker, F. W., & van Diepen, M. (2021). Conducting correlation analysis: Important limitations and pitfalls. Clinical Kidney Journal, 14(11), 2332–2337. https://doi.org/10.1093/ckj/sfab085

Kenny, L., Hyland, P., Cloitre, M., & Shevlin, M. (2023). Factor structure of the shortened six-item version of the de Jong Gierveld loneliness scale (DJGLS-6): A systematic review and testing factor models in a nationally representative sample. European Journal of Mental Health, 18, 1–12. https://doi.org/10.5708/EJMH.18.2023.0001

Lim, W. M. (2024). What is quantitative research? An overview and guidelines. Australasian Marketing Journal, 0(0). https://doi.org/10.1177/14413582241264622

Malli, M. A., Ryan, S., Maddison, J., & Kharicha, K. (2023). Experiences and meaning of loneliness beyond age and group identity. Sociology of Health & Illness, 45(1), 70–89. https://doi.org/10.1111/1467-9566.13539

Meng, S., Zhang, Y., Tang, L., Zhang, M., Tang, W., Onyebuchi, N., Han, Y., Han, S., Li, B., Wenxia, T., & Ge, X. (2024). The effects of mobile phone addiction on bedtime procrastination in university students: The masking effect of physical activity and anxiety. BMC Psychology, 12. https://doi.org/10.1186/s40359-024-01899-z

Merkaš, M., Bodrozic Selak, M., & Žulec Ivanković, A. (2024). Problematic smartphone use and communication in families with adolescents. Adolescents, 4, 107–119. https://doi.org/10.3390/adolescents4010008

Mukherjee, S., & Dasgupta, S. (2020). Development and validation of the smartphone use scale. International Journal of Indian Psychology, 8(4), 494–499. https://doi.org/10.25215/0804.061

Oliveira, A., Pereira, B., Rosário, P., & Magalhães, P. (2023). Bedtime procrastination during the second COVID-19 lockdown in Portugal. Sleep Science, 15, 105–111. https://doi.org/10.5935/1984-0063.20220031

Orben, A., & Przybylski, A. K. (2020). Teenage sleep and technology engagement across the week. PeerJ, 8, e8427. https://doi.org/10.7717/peerj.8427

Shi, X., Wu, Y., Cao, F., Wang, X., Du, K., & Zang, S. (2024). The effect of loneliness on interpersonal sensitivity among nursing undergraduates: A chain mediation role of problematic internet use and bedtime procrastination. BMC Nursing, 23, 642. https://doi.org/10.1186/s12912-024-02321-0

Spiratos, K., & Ratanasiripong, P. (2023). Problematic smartphone use among high school students. Journal of School Administration Research and Development, 8(2), 76–86. https://doi.org/10.32674/jsard.v8i2.4893

Trost, S., & Hast, M. (2024). Loneliness and bedtime procrastination: Exploring a model of interconnectedness among young adults in Germany. Journal of Sleep and Sleep Disorder Research, 2, 1–16. https://doi.org/10.14302/issn.2574-4518.jsdr-24-5287

Verity, L., Yang, K., Nowland, R., Shankar, A., Turnbull, M., & Qualter, P. (2022). Loneliness from the adolescent perspective: A qualitative analysis of conversations about loneliness between adolescents and Childline counselors. Journal of Adolescent Research, 39(5), 1413–1443. https://doi.org/10.1177/07435584221111121

Xu, C., Lin, N., Shen, Z., Xie, Z., Xu, D., Fu, J., & Yan, W. (2024). Bedtime procrastination related to loneliness among Chinese university students during the post-pandemic period: A moderated chain mediation model. BMC Public Health, 24. https://doi.org/10.1186/s12889-024-18019-6

Zhang, M., Zhou, H., Yang, H. M., & Wu, A. (2021). The prospective effect of problematic smartphone use and fear of missing out on sleep among Chinese adolescents. Current Psychology, 42(10), 7499–7509. https://doi.org/10.1007/s12144-021-01863-9

Zhang, X. -X., Rost, D. H., Wang, J. -L., & Reynolds, K. J. (2020). Active and passive social networking sites usage and negative emotions: A reciprocal relationship? Journal of Social and Clinical Psychology, 39(3), 195–213.https://doi.org/10.1521/jscp.2020.39.3.195

Downloads

Published

2025-09-19

How to Cite

Pucyutan, J. (2025). Moderating Effect of Smartphone Use Between Loneliness and Bedtime Procrastination Among Adolescents. Journal of Interdisciplinary Perspectives, 3(10), 433–440. https://doi.org/10.69569/jip.2025.632