Online and Offline Social Sensitivity as Mediator Between Online Vigilance and Depression, Anxiety, and Stress Among Algerian Female Students

Abstract

The purpose of this study is to investigate the mediating role of online and offline social sensitivity in the association between online vigilance and mental health outcomes—specifically depression, anxiety, and stress—among Algerian female university students. A cross-sectional study was conducted with 438 Algerian female university students. Validated scales were utilized to measure online vigilance, social sensitivity (both online and offline), and psychological distress. Data was analyzed using correlation and mediation analyses to explore the relationships among these variables and to assess the mediating effect of social sensitivity. The findings indicate a significant positive relationship between online vigilance, social sensitivity, and mental health problems. Online and offline social sensitivity fully mediated the influence of online vigilance on stress, anxiety, and depression. This suggests that higher engagement in online vigilance increases social sensitivity, which in turn heightens vulnerability to psychological distress. This study contributes to the understanding of the complex interplay between digital behaviors, social perceptions, and mental health among Algerian female university students. By highlighting the mediating role of social sensitivity, the research underscores the necessity for interventions that address online habits and enhance social coping skills to improve mental well-being in this population.

Keywords

Algerian female students / mental health outcomes / online vigilance / psychological distress / social sensitivity

References

[1] Águila Rodríguez, B.2023. The Role of Rejection Sensitivity in the Relationship Between Online Vigilance and Problematic Internet Use. University of Twente.

[2] Al Salman, Z. H., F. A. Al Debel, F. M. Al Zakaria, M. M. Shafey, and M. A. Darwish. 2020. “Anxiety and Depression and Their Relation to the Use of Electronic Devices Among Secondary School Students in Al-Khobar, Saudi Arabia, 2018-2019.” Journal of Family and Community Medicine 27, no. 1: 53-61. https://doi.org/10.4103/jfcm.jfcm_140_19.

[3] Amelia, L. T. D., and N. R. Balqis. 2023. “Changes in Communication Patterns in the Digital Age.” ARRUS Journal of Social Sciences and Humanities 3, no. 4: 544-556. https://doi.org/10.35877/soshum1992.

[4] Andrews, J. L., A. C. Khin, T. Crayn, K. Humphreys, and S. Schweizer. 2022. “Measuring Online and Offline Social Rejection Sensitivity in the Digital Age.” Psychological Assessment 34, no. 8: 742-751. https://doi.org/10.1037/pas0001136.

[5] Anista, R.2023. “Transformasi Kebudayaan: Dampak Perkembangan Teknologi dan Media Sosial.” Jurnal Pendidikan Sosial Indonesia 1, no. 1: 33-40. https://doi.org/10.62238/jupsijurnalpendidikansosialindonesia.v1i1.6.

[6] Carr, C. T., and R. A. Hayes. 2015. “Social Media: Defining, Developing, and Divining.” Atlantic Journal of Communication 23, no. 1: 46-65. https://doi.org/10.1080/15456870.2015.972282.

[7] Ghaemi, S. N.2020. “Digital Depression: A New Disease of the Millennium?” Acta Psychiatrica Scandinavica 141, no. 4: 356-361. https://doi.org/10.1111/acps.13151.

[8] GSMA. 2024. “The Mobile Gender Gap Report”. https://www.gsma.com/r/wp-content/uploads/2024/05/The-Mobile-Gender-Gap-Report-2024.pdf?utm_source=website&utm_medium=button&utm_campaign=gender-gap-2024.

[9] Hampton, K. N.2016. “Persistent and Pervasive Community: New Communication Technologies and the Future of Community.” American Behavioral Scientist 60, no. 1: 101-124. https://doi.org/10.1177/0002764215601714.

[10] Jayaram, M., G. Jayatheertha, and R. Rajpurohit. 2020. “Time Series Predictive Models for Social Networking Media Usage Data: The Pragmatics and Projections.” Asian Journal of Research in Computer Science 6, no. 1: 37-54. https://doi.org/10.9734/ajrcos/2020/v6i130151.

[11] Johannes, N. 2020. “Effects of Smartphone Cues and Online Vigilance on Well-Being and Performance”.

[12] Johannes, N., A. Meier, L. Reinecke, et al. 2021. “The Relationship Between Online Vigilance and Affective Well-Being in Everyday Life: Combining Smartphone Logging With Experience Sampling.” Media Psychology 24, no. 5: 581-605. https://doi.org/10.1080/15213269.2020.1768122.

[13] Johannes, N., H. Veling, J. Dora, A. Meier, L. Reinecke, and M. Buijzen. 2018. “Mind-Wandering and Mindfulness as Mediators of the Relationship Between Online Vigilance and Well-Being.” Cyberpsychology, Behavior, and Social Networking 21, no. 12: 761-767. https://doi.org/10.1089/cyber.2018.0373.

[14] Joshi, D. R., J. K. Singh, and U. Neupane. 2021. “Mental Health Problems and Patterns of Self-Care Associated With the Use of Digital Devices Among University Students.” European Journal of Mental Health 16, no. 2: 146-169. https://doi.org/10.5708/ejmh.16.2021.2.7.

[15] Karim, F., A. A. Oyewande, L. F. Abdalla, R. Chaudhry Ehsanullah, and S. Khan. 2020. “Social Media Use and Its Connection to Mental Health: A Systematic Review.” Cureus 12, no. 6: e8627. https://doi.org/10.7759/cureus.8627.

[16] Kıdıman, E., and H. Y. Durak. 2023. “The Relationship Between Academic Self-Control and Online Vigilance Among High School Students: A Multi-Group Analysis.” Eğitim Teknolojisi Kuram ve Uygulama 13, no. 1: 24-36. https://doi.org/10.17943/etku.1079705.

[17] Le Roux, D. B., D. A. Parry, A. Totolo, et al. 2021. “Media Multitasking, Online Vigilance and Academic Performance Among Students in Three Southern African Countries.” Computers & Education 160: 104056. https://doi.org/10.1016/j.compedu.2020.104056.

[18] Levin, I., and D. Mamlok. 2021. “Culture and Society in the Digital Age.” Information 12, no. 2: 68. https://doi.org/10.3390/info12020068.

[19] Lovibond, P. F., and S. H. Lovibond. 1995. “The Structure of Negative Emotional States: Comparison of the Depression Anxiety Stress Scales (DASS) With the Beck Depression and Anxiety Inventories.” Behaviour Research and Therapy 33, no. 3: 335-343. https://doi.org/10.1016/0005-7967(94)00075-u.

[20] Lukenga, M.-P., L. Billonnet, J. Gaugue, and J. Denis. 2023. “Exploring Female Students' Perceptions of the Use of Digital Technologies in Managing Academic Stress.” Frontiers in Psychology 14: 1199038. https://doi.org/10.3389/fpsyg.2023.1199038.

[21] Lv, S., and H. Wang. 2023. “The Effect of College Students' Boredom Proneness on Phubbing: The Chain-Mediating Effects of Fear of Missing Out and Online Vigilance.” Perspectives in Psychiatric Care 2023, no. 1: 9713789. https://doi.org/10.1155/2023/9713789.

[22] Minihan, S., C. Kwok, and S. Schweizer. 2023. “Social Rejection Sensitivity and Its Role in Adolescent Emotional Disorder Symptomatology.” Child and Adolescent Psychiatry and Mental Health 17, no. 1: 8. https://doi.org/10.1186/s13034-022-00555-x.

[23] Mohammed, H.2021. “Psychometric Properties of (DASS-21) Depression-Anxiety-Stress Scales: A Field Study on a Sample of the Syrian Community During the COVID-19 Outbreak.” Tishreen University Journal-Arts and Humanities Sciences Series 43, no. 3: 295-308.

[24] Reinecke, L., S. Aufenanger, M. E. Beutel, et al. 2017. “Digital Stress Over the Life Span: The Effects of Communication Load and Internet Multitasking on Perceived Stress and Psychological Health Impairments in a German Probability Sample.” Media Psychology 20, no. 1: 90-115. https://doi.org/10.1080/15213269.2015.1121832.

[25] Reinecke, L., C. Klimmt, A. Meier, et al. 2018. “Permanently Online and Permanently Connected: Development and Validation of the Online Vigilance Scale.” PLoS One 13, no. 10: e0205384. https://doi.org/10.1371/journal.pone.0205384.

[26] Sabah, A., M. A. Aljaberi, J. Hajji, et al. 2024a. “Psychometric Properties of the Benign and Malicious Envy Scale: A Cross-Cultural Study in the Arab Maghreb Countries.” Acta Psychologica 248: 104397. https://doi.org/10.1016/j.actpsy.2024.104397.

[27] Sabah, A., M. A. Aljaberi, J. Hajji, C.-Y. Fang, Y.-C. Lai, and C.-Y. Lin. 2023a. “Family Communication as a Mediator Between Family Resilience and Family Functioning Under the Quarantine and COVID-19 Pandemic in Arabic Countries.” Children 10, no. 11: 1742. https://doi.org/10.3390/children10111742.

[28] Sabah, A., M. A. Aljaberi, S. Hamouda, et al. 2024b. “Psychometric Characteristics of the Narcissistic Admiration and Rivalry Questionnaire (NARQ): Arabic Version.” PeerJ 12: e17982. https://doi.org/10.7717/peerj.17982.

[29] Sabah, A., M. A. Aljaberi, K.-H. Lee, and C.-Y. Lin. 2023b. “Psychometric Properties of the Perceived Collective Family Efficacy Scale in Algeria.” Healthcare 11, no. 19: 2691. https://doi.org/10.3390/healthcare11192691.

[30] Sabah, A., M. A. Aljaberi, C.-Y. Lin, and H.-P. Chen. 2022. “The Associations Between Sibling Victimization, Sibling Bullying, Parental Acceptance-Rejection, and School Bullying.” International Journal of Environmental Research and Public Health 19, no. 23: 16346. https://doi.org/10.3390/ijerph192316346.

[31] Sabah, A., O. K. R. Al-Shujairi, and S. Boumediene. 2021. “The Arabic Version of the Walsh Family Resilience Questionnaire: Confirmatory Factor Analysis of a Family Resilience Assessment Among Algerian and Iraq Families.” International Journal of Systemic Therapy 32, no. 4: 273-290. https://doi.org/10.1080/2692398x.2021.1960117.

[32] Seabrook, E. M., M. L. Kern, and N. S. Rickard. 2016. “Social Networking Sites, Depression, and Anxiety: A Systematic Review.” JMIR Mental Health 3, no. 4: e5842. https://doi.org/10.2196/mental.5842.

[33] Shanmugasundaram, M., and A. Tamilarasu. 2023. “The Impact of Digital Technology, Social Media, and Artificial Intelligence on Cognitive Functions: A Review.” Frontiers in Cognition 2. https://doi.org/10.3389/fcogn.2023.1203077.

[34] Union, I. T. 2024. “Measuring Digital Development. The ICT Development Index 2024 (CC BY-NC-SA 3.0 IGO)”. https://www.itu.int/hub/publication/d-ind-ict_mdd-2024-3/.

[35] Van Bavel, J. J., C. E. Robertson, K. del Rosario, J. Rasmussen, and S. Rathje. 2024. “Social Media and Morality.” Annual Review of Psychology 75: 311-340. https://doi.org/10.1146/annurev-psych-022123-110258.

[36] Van Gaeveren, K., S. L. Murphy, D. de Segovia Vicente, and M. M. P. Vanden Abeele. 2024. “Connected Yet Cognitively Drained? A Mixed-Methods Study Examining Whether Online Vigilance and Availability Pressure Promote Mental Fatigue.” Communication Research: 00936502241248494. https://doi.org/10.1177/00936502241248494.

[37] Yin, C., Y. Tang, L. Yu, and L. Li. 2024. “Excessive Media Use in Class and University Students' Academic Performance: The Mediation Effect of Online Vigilance and Gender Differences.” Interactive Learning Environments 33, no. 2: 1385-1403. https://doi.org/10.1080/10494820.2024.2371930.

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