EXCESSIVE CELLPHONE USE, SOCIAL SUPPORT, AND STUDENT ENGAGEMENT AS ATTRIBUTES TO ACADEMIC ACHIEVEMENT: A MEDIATION ANALYSIS
DOI:
https://doi.org/10.5281/zenodo.15809497Keywords:
Excessive Cellphone Use, Smartphone addiction, Social Support, Academic Engagement, Academic Achievement. Mediating VariablesAbstract
This study investigated the impact of excessive cellphone use on academic achievement, considering the interplay of complex relationships through mediation analyses. It examined the mediating roles of social support, engagement, and excessive cellphone use as attributes to academic performance among 351 senior high school students. A descriptive correlational design was employed, with data analyzed using Structural Equation Modeling (SEM) to examine mechanisms and relationships. Results showed that 75.2% were excessive cellphone users, with females (42.50%) more likely to exhibit addictive behaviors than males (32.80%). Significant differences were found in academic strand, father's education, and Grade Point Average (GPA) in relation to smartphone addiction. STEM and ABM strands had higher GPA and lower smartphone addiction than HUMSS and TVL. Students with fathers with high educational background showed significantly higher academic performance. Interestingly, excessive users demonstrated high GPA. Respondents’ perceptions of social support and engagement were moderate. SEM revealed that smartphone addiction negatively predicts academic achievement (total effect = -0.055, p < 0.001). Student engagement (estimate = 0.117, p < 0.001) and social support (estimate = 0.033, p = 0.002) significantly influence academic performance. However, social support and engagement did not predict smartphone addiction and failed to mediate the relationship between smartphone addiction and GPA. In an alternative SEM model, smartphone addiction significantly mediated the link between social support and engagement (indirect effect = -0.103, p = 0.001), indicating its undermining effects. The C-HEARTS Program was developed to promote healthy phone habits, student involvement, and peer-family digital strategies to enhance academic outcomes.
References
Amoo, T.B.; Adeyinka, O.P.; Aderibigbe, A.D. Perceived effects of parental socio-economic status on students’ academic performance among teachers in Odeda Local Government, Ogun State, Nigeria. Int. J. Acad. Res. Bus. Soc. Sci.2018,8. [CrossRef] Int. J. Environ. Res. Public Health 2021,18, 5219
Ansong, D., Okumu, M., Bowen, G. L., Walker, A. M., & Eisensmith, S. R. (2017). The role of parent, classmate, and teacher support in student engagement: Evidence from Ghana. International Journal of Educational Development, 54, 51–58. https://doi.org/10.1016/j.ijedudev.2017.03.010
Boateng, S.; Asare, D.; Manu, P.T.; Sefah, E.A.; Adomako, J. Relationship between students’ home background and their academic performance: A case of some selected senior high school students in rural districts in Ashanti Region, Ghana. J. Educ. 2020. [CrossRef]
Buctot, D., Kim, N.; Park, K.E. (2018). Development and evaluation of smartphone detox program for university students. Int. J. Contents 2018, 14, 1–9. [Google Scholar] [CrossRef
Buctot, D., Kim, N., Kim, S. (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 on Int. J. Environ. Res. Public Health 2021, 18(10), 5219; https://doi.org/10.3390/ijerph18105219
Carmona-Halty, M. A., Schaufeli, W. B., & Salanova, M. (2019). The Utrecht Work Engagement Scale for Students (UWES-9S): Factorial Validity, Reliability, and Measurement Invariance in a Chilean Sample of Undergraduate University Students. Frontiers in psychology, 10, 1017. https://doi.org/10.3389/fpsyg.2019.01017
Chen, C., Bian, F. & Zhu, Y. (2023). The relationship between social support and academic engagement among university students: the chain mediating effects of life satisfaction and academic motivation. BMC Public Health 23, 2368 (2023). https://doi.org/10.1186/s12889-023-17301-3
Choi, D.J. The Survey on Smart Phone Overdependence; Ministry of Science and ICT; National Information Society Agency: Daegu, Korea, 2018.
Cohen S. (2004). Social relationships and health. American Psychologist, 59, 676–684. 10.1037/0003-066X.59.8.676 [DOI] [PubMed] [Google Scholar]
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310
De Guzman, E. (2020). Enhancing technical-vocational education through industry partnerships. International Journal of Technical and Vocational Education, 6(1), 1-10.
DepEd Order No. 8, s. 2015: "Policy Guidelines on Classroom Assessment for the K to 12 Basic Education Program"
Elemino, Q. J., Kilag, O. K., Almendral, C., Jalboush, Y. B. A. A., Caoile, D. J., & Payawal, J. E. (2024). Voices of Counselors: Understanding the Dynamics of the Counseling Profession in the Philippine Context. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (RISE), 1(1), 136-142.
Ensoy P. C., & Lavega M.L. (2015). High School General Point Average (GPA) as Basis for Students’ Academic Perfomance. JPAIR Institutional Research by JPAIR, an ISO 9001:2008 QMS certified by AJA Registrars, Inc. Vol. 5 · June 2015ISSN 2244-1824 · Online ISSN 2244-1816doi: http://dx.doi.org/10.7719/irj.v5i1.344
Fernandez, M. R., Dimla, A. O., Ocampo, L. J. F., Cabrera, T. M. S., Mamangun, L. M., Dela Cruz, J. A. C., Dela Rosa, R. J. G., & Dominado, N. L. (2024). The Mobile Phone use of Senior High School Learners . International Journal of Multidisciplinary: Applied Business and Education Research, 5(7), 2835-2860. https://doi.org/10.11594/ijmaber.05.07.34
Fredricks, J. A., Blumenfeld, P., Friedel, J., & Paris, A. (2005). School engagement. In K. A.Moore & L. H. Lippman (Eds.), What Do Children Need to Flourish? (Vol. 3, pp. 305–321). Springer US. https://doi.org/10.1007/0-387-23823-9_19
Fredericks, J. A., Parr, A. K., Amemiya, J. L., Wang, M. T., & Bauer, S. (2019). What matters for urban adolescents’ engagement and disengagement in school: a Mixed-Methods Study. Journal of Adolescence Research, 34, 491–527. https://doi.org/10.1177/0743558419830638
Fu, K.-W., Chan, W. S. C., Wong, P. W. C., & Yip, P. S. F. (2010). Internet addiction: Prevalence, discriminant validity and correlates among adolescents in Hong Kong. The British Journal of Psychiatry, 196(6), 486–492. doi:10.1192/bjp.bp.109.075002 PMID:20513862 International Journal of Information and Communication Technology Education Volume 17 • Issue 4 • October-December 2021
Garcia-Reid, P., Reid, R. J., & Peterson, N. A. (2005). School engagement among Latinoyouth in an urban middle school context: Valuing the role of social support. Education and Urban Society, 37(3), 257–275. https://doi.org/10.1177/0013124505275534
Grant, J.E.; Lust, K.; Chamberlain, S.R. Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. J. Behav. Addict. 2019,8, 335–342. [CrossRef]
Gremmen, M. C., Van den Berg, Y., Steglich, C., Veenstra, R., & Dijkstra, J. K. (2018). The importance of near-seated peers for elementary students' academic engagement and achievement. Journal of Applied Developmental Psychology, 57, 42-52. http://dx.doi.org/10.1016/j.appdev.2018.04.004
Hamamura, T., Kobayashi, N., Oka, T. et al. Validity, reliability, and correlates of the Smartphone Addiction Scale–Short Version among Japanese adults. BMC Psychol 11, 78 (2023). https://doi.org/10.1186/s40359-023-01095-5
Hashemi, S., Ghazanfari, F., Ebrahimzadeh, F. et al. (2022). Investigate the relationship between cell-phone over-use scale with depression, anxiety and stress among university students. BMC Psychiatry 22, 755 (2022). https://doi.org/10.1186/s12888-022-04419-8
Herrero, J., Torres, A., Vivas, P., and Urueña, A. (2019). Smartphone Addiction and Social Support: A Three-year Longitudinal Study. Smartphone Addiction and Social Support: A Three-year Longitudinal Study. Psychosocial Intervention, 28, 111 - 118. (2019). https://doi.org/10.5093/pi2019a6
Hobbs, R. (2017). The digital literacy scale. Journal of Media Literacy Education, 9(2), 1- 10.
Jenaro C, Flores N, Gómez-Vela M, González-Gil F, Caballo C. (2007). Problematic internet and cell-phone use: psychological, behavioral, and health correlates. Addict Res Theory. 2007;15(3):309–20.
Kiefer, S., Alley, K., & Ellerbrock, C. (2015). Teacher and peer support for young adolescents’ motivation, engagement, and school belonging. Research in Middle Level Education, 38(8), 1-18. https://doi.org/10.1080/19404476.2015.11641184
Kilag, O. K., Dacanay, L., Hubahib Jr., S., Najarro, P. A., Uy, F., & Rabi, J. I. I. (2024). The State of Guidance Counseling in Philippine Education. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(5), 7-12. https://risejournals.org/index.php/imjrise/article/view/331
Kilday J. E., Ryan A. M. (2019). Personal and collective perceptions of social support: Implications for classroom engagement in early adolescence. Contemporary Educational Psychology, 58, 163–174. 10.1016/j.cedpsych.2019.03.006 [DOI] [Google Scholar]
Kim, J., Lee, Y., & Kim, B. (2020). Denial and minimization in problematic mobile phone use. Cyberpsychology, Behavior, and Social Networking, 23(10), 673-679. doi: 10.1089/cyber.2020.0145 3
Kirschner, P. A., & De Bruyckere, P. (2017). The myths of the digital native and the multitasker. Teaching and Teacher Education, 67, 137-145.
Konold T., Cornell D., Jia Y., Malone M. School Climate, student engagement, and academic achievement: a latent variable, multilevel multi-informant examination. AERA Open. 2018;4(4) doi: 10.1177/2332858418815661. [DOI] [Google Scholar]
Kwon, M.; Lee, J.Y.; Won, W.Y.; Park, J.W.; Min, J.A.; Hahn, C.; Gu, X.; Choi, J.H.; Kim, D.J. Development and validation of a Smartphone Addiction Scale (SAS). PLoS ONE 2013, 8, e56936. [CrossRef] [PubMed]
Kwon, M.; Kim, D.J.; Cho, H.; Yang, S. The Smartphone Addiction Scale: Development and validation of a short version for adolescents. PLoS ONE 2013, 8, e83558. [CrossRef]
Landa-Blanco, M., García, Y. R., Landa-Blanco, A. L., Cortés-Ramos, A., & Paz-Maldonado, E. (2024). Social media addiction relationship with academic engagement in university students: The mediator role of self-esteem, depression, and anxiety. Heliyon, 10(2), e24384. https://doi.org/10.1016/j.heliyon.2024.e24384
Lee, Y., Lee, D., & Kim, B. (2022). The role of denial in problematic smartphone use. Computers in Human Behavior, 126, 107073. doi: 10.1016/j.chb.2021.107073
Lepp A., Barkley, J.E. Karpinski. A.C. (2015). The relationship cell phone use and academic performance in a sample of U.S. college students. SAGE open, 5 (1) pp. 1-9, 10.1177/2158244015573169 View at publisherGoogle Scholar
Liu, D., Huang, R., & Liu, Y. (2019). Digital literacy and programming skills among ICT students. Journal of Educational Technology Development and Exchange, 11(1), 13- 24.
Longnecker, E.M. (2017). The relationship between smartphone use, symptoms of depression, symptoms of anxiety, and academic performance in college students by Elizabeth Mae Longnecker. A thesis submitted to the graduate faculty in partial fulfilment of the requirements for the Iowa State University (2017), 10.31274/etd-180810-4984
Lopez-Fernandez O. Short version of the smartphone addiction scale adapted to Spanish and French: towards a cross-cultural research in problematic mobile phone use. Addict Behav. 2017;64:275–80. https://doi.org/10.1016/j.addbeh.2015.11.013
Loscalzo, Y., and Giannini, M. (2018). Study engagement in Italian university students: a confirmatory factor analysis of the Utrecht work engagement scale–student version. Soc. Indic. Res. 142, 845–854. doi: 10.1007/s11205-018-1943-y
Luk TT, Wang MP, Shen C, Wan A, Chau PH, Oliffe J, et al. Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates. J Behav Addict. 2018;7(4):1157–65. https://doi.org/10.1556/2006.7.2018.105
Ma, C., Smith, T. E., & Culhane, D. P. (2024). The stress-buffering effects of received social support on posttraumatic stress disorder among Hurricane Ike survivors. Traumatology. Advance online publication. https://doi.org/10.1037/trm0000526
Nowak, M., Rachubińska, K., Starczewska, M., Kupcewicz, E., Szylińska, A., Cymbaluk-Płoska, A., & Grochans, E. (2022). Correlations between Problematic Mobile Phone Use and Depressiveness and Daytime Sleepiness, as Well as Perceived Social Support in Adolescents. International Journal of Environmental Research and Public Health, 19(20), 13549. https://doi.org/10.3390/ijerph192013549
Olson, N., Oberhoffer-Fritz, R., Reiner, B., & Schulz, T. (2023). Study related factors associated with study engagement and student burnout among German university students. Frontiers in public health, 11, 1168264. https://doi.org/10.3389/fpubh.2023.1168264
Omer, O.Z.E.R. Smartphone addiction and fear of missing out: Does smartphone use matter for students’ academic performance? J. Comput. Educ. Res. 2020,8, 344–355. [CrossRef]
PNA News. 76% of Filipinos Want Cellphone Banned in Schools-Survey Available online: (https://www.pna.gov.ph/articles/1230539#-76% Filipinos want cellphones banned- Philippine News Agency, 2024) (accessed on April 20, 2025).
Rashid, Jamaluddin & Abdul Aziz, Ahlam & Rahman, Aris & Saaid, Shahnil & Ahmad, Zaiha. (2020). The Influence of Mobile Phone Addiction on Academic Performance Among Teenagers. Jurnal Komunikasi: Malaysian Journal of Communication. 36. 408-424. 10.17576/JKMJC-2020-3603-25.
Rickert, N. (2019). The combined effects of parent and teacher involvement on the development of adolescents’ academic engagement. Dissertations and Theses. https://doi.org/10.15760/etd.7284
Roshanayi, Maryam. (2022). Effects of Excessive Cellphone Use on Students’ Academic Achievement with Mediating role of Sleep Quality. Clinical Cancer Investigation Journal -ISSN:2278-0513 Vol.11 Issue 1; 2022
Saeed, K.M., Ahmed, A.S., Rahman, Z.M., Slemaan N.A. (2023). How social support predicts academic achievement among secondary students with special needs: the mediating role of self-esteem. (2023). Middle East Curr Psychiatry 30, 46 (2023). https://doi.org/10.1186/s43045-023-00316-2
Samaha, M.; Hawi, N.S. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. (2016). Comput. Hum. Behav. 2016,57, 321–325. [CrossRef]
Sánchez-Fernández, M., & Borda-Mas, M. (2023). Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review. Education and information technologies, 28(6), 7111–7204. https://doi.org/10.1007/s10639-022-11437-2
Sapienza, A., Lítlá, M., Lehmann, S., & Alessandretti, L. (2023). Exposure to urban and rural contexts shapes smartphone usage behavior. PNAS nexus, 2(11), pgad357. https://doi.org/10.1093/pnasnexus/pgad357
Schaufeli, W.B. & Bakker, A.B. (in press). UWES UTRECHT WORK ENGAGEMENT SCALE Preliminary Manual [Version 1.1, December 2004. Occupational Health Psychology Unit Utrecht University
Schaufeli, W. B., Bakker, A. B., and Salanova, M. (2006). The measurement of work engagement with a short questionnaire: a cross–national study. Educ. Psychol. Measure. 66, 701–716. doi: 10.1177/0013164405282471
Schaufeli, W. B., Martínez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2002). Utrecht Work Engagement Scale for Students (UWES-S, UWES-SF) [Database record]. APA PsycTests. https://doi.org/10.1037/t76451-000
Sfendla A, Laita M, Nejjar B, Souirti Z, Touhami AAO, Senhaji M. Reliability of the Arabic smartphone addiction scale and smartphone addiction scale-short version in two different Moroccan samples. Cyberpsychol Behav Social Netw. 2018;21(5):325–32. https://doi.org/10.1089/cyber.2017.0411.
Singh, A. & Srivastava, D.K. (2023). Understanding the Effect of Internet Addiction on Student Academic Engagement. International Journal of Information and Communication Technology Education Volume 17 • Issue 4 • October-December 2021
Singh, M., Bangay, S., Grossek, H., & Sajjanhar, A. (2023). Forest Classroom: A Case Study of Educational Augmented Reality Design to Facilitate Classroom Engagement. Multimodal Technologies and Interaction, 7(5), 46
Soharwardi, M.A.; Fatima, A.; Nazir, R.; Firdous, A. Impact of parental socioeconomic status on academic performance of students: A case study of Bahawalpur, Pakistan. J. Econ. Econ. Educ. Res. 2020,21, 1–8
Sunday, O., Adesope O., Maarhuis P. (2021). The effects of smartphone addiction on learning: A meta-analysis, Computers in Human Behavior Reports, Volume 4,2021,100114, ISSN 2451-9588, https://doi.org/10.1016/j.chbr.2021.100114.
Tamura, H.; Nishida, T.; Tsuji, A.; Sakakibara, H. (2017). Association between excessive use of mobile phone and insomnia and depression among Japanese adolescents. (2017). Int. J. Environ. Res. Public Health 2017,14, 701. [CrossRef]
Tayama, Jun & Schaufeli, Wilmar & Shimazu, Akihito & Tanaka, Masanori & Takahama, Akari. (2019). Validation of a Japanese Version of the Work Engagement Scale for Students. Japanese Psychological Research. 61. 10.1111/jpr.12229.
Tortosa, B. M., Pérez-Fuentes, M. C., & Molero, M. M. (2024). The influence of perceived social support on academic engagement among adolescents: the mediating role of self-efficacy. annals of psychology 2024, vol. 40, nº 3 (October), 409-420 https://doi.org/10.6018/analesps.587991
Van Deursen, A.J.; Bolle, C.L.; Hegner, S.M.; Kommers, P.A. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Comput. Hum. Behav.2015,45,411–420.
Vargas-Madriz, L. F., & Konishi, C. (2021). The Relationship Between Social Support and Student Academic Involvement: The Mediating Role of School Belonging. Canadian journal of school psychology, 36(4), 290–303. https://doi.org/10.1177/08295735211034713
Velthoven van, M. H., Powell J., and Powell G. (2018). "Problematic Smartphone Use: Digital Approaches to an Emerging Public Health Problem," Digital Health, vol, 4, Mar. 2018, pp. 1-9.
Wan, X., Huang, H., Jia, R., Liang, D., Lu, G., & Chen, C. (2022). Association between mobile phone addiction and social support among mainland Chinese teenagers: A meta-analysis. Frontiers in public health, 10, 911560. https://doi.org/10.3389/fpubh.2022.911560
WU Jiahui, FU Hailun, ZHANG Yuhuan. A meta-analysis of the relationship between perceived social support and student academic achievement: The mediating role of student engagement[J]. Advances in Psychological Science, 2023, 31(4): 552-569.
Yildiz Durak, H.Y. (2019) Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance. Soc. Sc. J. 2019, 56, 492–517.
Zhao N., Zhou G. COVID-19 stress and addictive social media use (SMU): mediating role of active use and social media flow. Front. Psychiatry.2021;12 doi:10.3389/fpsyt.2021.635546.
Zhao, P., & Lapierre, M. A. (2020). Stress, dependency, and depression: An examination of the reinforcement effects of problematic smartphone use on perceived stress and later depression. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 14(4), Article 3. https://doi.org/10.5817/CP2020-4-3
Zhao Y., Zheng Z., Pan C., Zhou L. Self-esteem and academic engagement among adolescents: a moderated mediation model. Front. Psychol. 2021;12(June) doi: 10.3389/fpsyg.2021.690828.
Zimet, G.D.; Dahlem, N.W.; Zimet, S.G.; Farley, G.K. (1988). The Multidimensional Scale of Perceived Social Support. J. Personal. Assess. 1988, 52, 30–41.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mary Grace A. Lucero, Ma. Crispy B. Velasco (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.