HomePsychology and Education: A Multidisciplinary Journalvol. 48 no. 3 (2025)

Passive Social Media Use, Depressive Symptoms, and Mindfulness Among College Students

Mariane Delo

Discipline: others in psychology

 

Abstract:

Emerging evidence indicates that passive social media use is linked to adverse mental health outcomes, particularly elevated depressive symptoms. This study examined the relationship between passive social media use and depressive symptoms and explored whether mindfulness, often linked to improved psychological well-being, could buffer this effect. A total of 325 college students (ages 18–28) from local colleges in the Negros Island Region completed standardized measures of passive social media use (SMAQ), depressive symptoms (PHQ-8), and mindfulness (MAAS). Descriptive results indicated that most respondents reported moderate passive social media use (78%; M = 3.01, SD = 0.54), moderate mindfulness (68%; M = 3.64, SD = 0.81), and none to minimal depressive symptoms (M = 1.36, SD = 0.55). Inferential analysis showed that passive social media use was positively associated with depressive symptoms (β = 0.12, p = 0.038), while mindfulness was negatively related to depressive symptoms (β = –0.37, p < .001). However, mindfulness did not mediate the relationship between passive social media use and depressive symptoms (β = 1.96e-5, p = 0.999), as there was no statistically significant relationship observed between passive social media use and mindfulness (β = –5.34e-5, p = 0.999). The absence of a mediating effect reflects the need for further investigation. This discrepancy may be due to limitations in the study design, such as its cross-sectional nature, or other unmeasured confounding variables. Nonetheless, the findings highlight two key implications: (1) passive social media use independently predicts depressive symptoms, even when symptom levels are minimal, and (2) mindfulness independently supports well-being, although it does not mitigate the effects of passive social media use. These results underscore the importance of interventions in higher education that support student mental health by addressing excessive passive social media use and promoting mindfulness practices as separate but complementary strategies.



References:

  1. Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy, White women. Health Psychology, 19(6), 586–592. https://doi.org/10.1037/0278-6133.19.6.586
  2. Allen, J. G., Romate, J., & Rajkumar, E. (2021). Mindfulness-based positive psychology interventions: A systematic review. BMC Psychology, 9(1). https://doi.org/10.1186/s40359-021-00618-2
  3. Alomari, H. (2023). Mindfulness and its relationship to academic achievement among university students. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1179584
  4. Azem, L., Al Alwani, R., Lucas, A., Alsaadi, B., Njihia, G., Bibi, B., Alzubaidi, M., & Househ, M. (2023). Social media use and depression in adolescents: A scoping review. Behavioral Sciences, 13(6), 475. https://doi.org/10.3390/bs13060475
  5. Ballara, N. B. (2023). The power of social validation: A literature review on how likes, comments, and shares shape user behavior on social media. International Journal of Research Publication and Reviews, 4(7), 3355–3367. https://doi.org/10.55248/gengpi.4.723.51227
  6. Bengtsson, S., & Johansson, S. (2022). The meanings of social media use in everyday life: Filling empty slots, everyday transformations, and mood management. Social Media + Society, 8(4). https://doi.org/10.1177/20563051221130292
  7. Bhattacharya, S., & Hofmann, S. G. (2023). Mindfulness-based interventions for anxiety and depression. Clinics in Integrated Care, 16, 100138. https://doi.org/10.1016/j.intcar.2023.100138
  8. Blasche, G., Khanaqa, T. A. K., & Wagner-Menghin, M. (2023). Mentally demanding work and strain: Effects of study duration on fatigue, vigor, and distress in undergraduate medical students. Healthcare, 11(12), 1674. https://doi.org/10.3390/healthcare11121674
  9. Brailovskaia, J., & Margraf, J. (2024). From fear of missing out (FoMO) to addictive social media use: The role of social media flow and mindfulness. Computers in Human Behavior, 150. https://doi.org/10.1016/j.chb.2023.107984
  10. Brown, K. W., & Ryan, R. M. (2003). Mindful Attention Awareness Scale (MAAS) [Database record]. APA PsycTests. https://doi.org/10.1037/t04259-000
  11. Buenaventura, R. D., Isidro-Lapeña, J. S., Lim, J. M., & Brizuela, G. E. (2024). A review on depression care in the Philippines—Gaps and recommendations for better patient outcomes. Acta Medica Philippina, 58(19), 9–17. https://doi.org/10.47895/amp.vi0.6745
  12. Chan, S., Van Solt, M., Cruz, R. E., Philp, M., Bahl, S., Serin, N., Amaral, N. B., Schindler, R. M., Bartosiak, A., Kumar, S., & Canbulut, M. (2022). Social media and mindfulness: From the fear of missing out (FOMO) to the joy of missing out (JOMO). The Journal of Consumer Affairs, 56(3), 1312–            1331. https://doi.org/10.1111/joca.12476
  13. Chang, H., Meng, X., Li, Y., Liu, J., Yuan, W., Ni, J., & Li, C. (2023). The effect of mindfulness on social media addiction among Chinese college students: A serial mediation model. Frontiers in Psychiatry, 14(1087909). https://doi.org/10.3389/fpsyt.2023.1087909
  14. Chen, M., & Xiao, X. (2022). The effect of social media on the development of students’ affective variables. Frontiers in Psychology, 13, 1010766. https://doi.org/10.3389/fpsyg.2022.1010766
  15. Chen, S., Zhi, K., & Chen, Y. (2022). How active and passive social media use affects impulse buying in Chinese college students: The roles of emotional responses, gender, materialism, and self-control. Frontiers in Psychology, 13, 1011337. https://doi.org/10.3389/fpsyg.2022.1011337
  16. Cheng, W., Nguyen, D. N., & Nguyen, P. N. T. (2023). The association between passive social network usage and depression/negative emotions, with envy as a mediator. Scientific Reports, 13, 10097. https://doi.org/10.1038/s41598-023-37185-y
  17. Crego, A., Yela, J. R., Gómez-Martínez, M. Á., Riesco-Matías, P., & Petisco-Rodríguez, C. (2021). Relationships between mindfulness, purpose in life, happiness, anxiety, and depression: Testing a mediation model in a sample of women. International Journal of Environmental Research and Public Health, 18(3), 925. https://doi.org/10.3390/ijerph18030925
  18. Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
  19. De La Torre, J. A., Vilagut, G., Ronaldson, A., Valderas, J. M., Bakolis, I., Dregan, A., Molina, A. J., Navarro-Mateu, F., Pérez, K., Bartoll-Roca, X., Elices, M., Pérez-Sola, V., Serrano-Blanco, A., Martín, V., & Alonso, J. (2023). Reliability and cross-country equivalence of the 8-item version of the Patient Health Questionnaire (PHQ-8) for the assessment of depression: results from 27 countries in Europe. The Lancet Regional Health - Europe, 31, 100659. https://doi.org/10.1016/j.lanepe.2023.100659
  20. Duany, J. M., & Mouloua, M. (2022). The role of trait mindfulness in aggressive driving behavior. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 968–971. https://doi.org/10.1177/1071181322661441
  21. Eidman, L., Rodríguez de Behrends, M., & Seif, G. (2022). Psychometric properties of the Mindful Attention Awareness Scale (MAAS) in Argentine university students. Ciencias Psicológicas, 16(1), e-2560. https://doi.org/10.22235/cp.v16i1.2560
  22. Errmann, A., Kishore, S., & Lee, S. J. (2023). Positively original: Effects of mindfulness on social media tweets and sentiment. Australasian Marketing Journal, 31(4), 325–331. https://doi.org/10.1177/14413582231173064
  23. Fabella, F. E. T., & Lagarde, M. B. (2022). Social media as a danger to mental health: The relationship between social media use and anxiety among selected college students. International Journal of Research and Review, 9(11), 496–501. https://doi.org/10.52403/ijrr.20221165
  24. Ferguson, C. J. (2021). Links between screen use and depressive symptoms in adolescents over 16 years: Is there evidence for increased harm? Developmental Science, 24(6), e13008. https://doi.org/10.1111/desc.13008
  25. Godard, R., & Holtzman, S. (2023). Are active and passive social media use related to mental health, well-being, and social support outcomes? A meta-analysis of 141 studies. Journal of Computer-Mediated Communication, 29(1), zmad055. https://doi.org/10.1093/jcmc/zmad055
  26. Gong, S., Xu, P., & Wang, S. (2021). Social capital and psychological well-being of Chinese immigrants in Japan. International Journal of Environmental Research and Public Health, 18(2), 547. https://doi.org/10.3390/ijerph18020547
  27. Harms, I. M. (2023). Distracted by familiarity: Implications of ‘autopilot’ as a default cognitive mode. Transportation Research Part F: Traffic Psychology and Behaviour, 99, 274–288. https://doi.org/10.1016/j.trf.2023.10.021
  28. Hartanto, A., Quek, F. Y. X., Tng, G. Y. Q., & Yong, J. C. (2021). Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective. Frontiers in Psychiatry, 12(641934). https://doi.org/10.3389/fpsyt.2021.641934
  29. Hunt, M. G., All, K., Burns, B., & Li, K. (2021). Too much of a good thing: Who we follow, what we do, and how much time we spend on social media affects well-being. Journal of Social and Clinical Psychology, 40(1), 46–68.
  30. Janssen, L. H. C., Valkenburg, P. M., Keijsers, L., & Beyens, I. (2025). A harsher reality for adolescents with depression on social media. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-89762-y
  31. Jones, A., Hook, M., Podduturi, P., McKeen, H., Beitzell, E., & Liss, M. (2022). Mindfulness as a mediator in the relationship between social media engagement and depression in young adults. Personality and Individual Differences, 185, 111284. https://doi.org/10.1016/j.paid.2021.111284
  32. Kroenke, K., & Spitzer, R. L. Spitzer (2002). Patient Health Questionnaire-8. PsycTESTS Dataset. https://doi.org/10.1037/t64702-000
  33. Kroenke, K., Strine, T. W., Spitzer, R. L., Williams, J. B. W., Berry, J. T., & Mokdad, A. H. (2009). The PHQ-8 as a measure of current depression in the general population. Journal of Affective Disorders, 114(1-3), 163–173. https://doi.org/10.1016/j.jad.2008.06.026
  34. MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2006). Mediation analysis. Annual Review of Psychology, 58(1), 593–614. https://doi.org/10.1146/annurev.psych.58.110405.085542
  35. Maddock, A., & Blair, C. (2021). How do mindfulness-based programmes improve anxiety, depression and psychological distress? A systematic review. Current Psychology, 42, 10200–10222. https://doi.org/10.1007/s12144-021-02082-y
  36. Maharani, A. C. (2021). The influence of excessive use of social media. Indonesian Journal of Social Sciences, 13(1), 11. https://doi.org/10.20473/ijss.v13i1.26351
  37. Manan, H. A., Mir, I. A., Humayra, S., Tee, R. Y., & Vasu, D. T. (2024). Effect of mindfulness-based interventions on anxiety, depression, and stress in patients with coronary artery disease: A systematic review and meta-analysis of randomized controlled trials. Frontiers in Psychology, 15, 1435243. https://doi.org/10.3389/fpsyg.2024.1435243
  38. Mao, J., & Zhang, B. (2023). Differential Effects of Active Social Media use on general Trait and Online-Specific State-FOMO: Moderating Effects of Passive social Media use. Psychology Research and Behavior Management, Volume 16, 1391–1402. https://doi.org/10.2147/prbm.s404063 
  39. Martínek, A. P. (2021). Mapping methods of research on consumer engagement with brands on social media: A literature review. Methodological           Innovations, 14(1), 205979912098538. https://doi.org/10.1177/2059799120985384
  40. Masciantonio, A., & Bourguignon, D. (2023). Motivation Scale for Using Social Network Sites: Comparative Study between Facebook, Instagram, Twitter, Snapchat and LinkedIn. Psychologica Belgica, 63(1), 30–43. https://doi.org/10.5334/pb.1161
  41. Mao, J., & Zhang, B. (2023). Differential effects of active social media use on general trait and online-specific state-FoMO: Moderating effects of passive social media use. Psychology Research and Behavior Management, 16, 1391–1402. https://doi.org/10.2147/PRBM.S404063
  42. McComb, C. A., Vanman, E. J., & Tobin, S. J. (2023). A meta-analysis of the effects of social media exposure to upward comparison targets on self-evaluations and emotions. Media Psychology, 26(5), 612–635. https://doi.org/10.1080/15213269.2023.2180647
  43. Meier, A., & Krause, H. (2023). Does passive social media use harm well-being? Journal of Media Psychology, 35(3), 169–180. https://doi.org/10.1027/1864-1105/a000358
  44. Meynadier, J., Malouff, J. M., Loi, N. M., & Schutte, N. S. (2024). Lower mindfulness is associated with problematic social media use: A meta-analysis. Current Psychology, 43, 3395–3404. https://doi.org/10.1007/s12144-023-04587-0
  45. Mo, H., & Peng, R. (2023). Passive social media use and social self-efficacy: The mediating effect of upward social comparison. Journal of Education Humanities and Social Sciences, 8, 761–767. https://doi.org/10.54097/ehss.v8i.4347
  46. Nguyen, N. D., Truong, N., Dao, P. Q., & Nguyen, H. H. (2024). Can online behaviors be linked to mental health? Active versus passive social network usage on depression via envy and self-esteem. Computers in Human Behavior, 108455. https://doi.org/10.1016/j.chb.2024.108455
  47. Operario, D., Adler, N. E., & Williams, D. R. (2004). Subjective social status: Reliability and predictive utility for global health. Psychology and Health, 19(2),237–246. https://doi.org/10.1080/08870440310001638098
  48. Orben, A., Przybylski, A. K., & Blakemore, S. J. (2022). Windows of developmental sensitivity to social media. Nature Communications, 13,            1649. https://doi.org/10.1038/s41467-022-29296-3
  49. Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Vela, E. G., Herzallah, A., & Liu, F. (2021). Effects of social media use on psychological well-being: A mediated model. Frontiers in Psychology, 12, 678766. https://doi.org/10.3389/fpsyg.2021.678766
  50. Ozimek, P., Brailovskaia, J., & Bierhoff, H. (2023). Active and passive behavior in social media: Validating the Social Media Activity Questionnaire (SMAQ). Telematics and Informatics Reports, 10, 100048. https://doi.org/10.1016/j.teler.2023.100048
  51. Parent, N. (2023). Basic needs satisfaction through social media engagement: A developmental framework for understanding adolescent social media use. Human Development, 67(1), 1–17. https://doi.org/10.1159/000529449
  52. Parungao, A. (2024). Anxiety, depression, coping styles, and perceived social support among university students: A mediation and moderation analyses. Journal of Interdisciplinary Perspectives, 2(9). https://doi.org/10.69569/jip.2024.0343
  53. Pérez-Aranda, A., García-Campayo, J., Gude, F., Luciano, J. V., Feliu-Soler, A., González-Quintela,A., López-Del-Hoyo, Y., & Montero-Marín, J. (2021). Impact of mindfulness and self-compassion on anxiety and depression: The mediating role of resilience. International Journal of Clinical and Health Psychology, 21(2), 100229. https://doi.org/10.1016/j.ijchp.2021.100229
  54. Pescadero, R.J., Cabahug, M.M., (2023). Social Media Engagement in Relation to Psychosocial Well-Being Among Generation Z. Psychology and Education: A Multidisciplinary Journal, 14(7), 802-813. https://doi.org/10.5281/zenodo.10032354
  55. Puyat, J. H., Gastardo-Conaco, M. C., Natividad, J., & Banal, M. A. (2021). Depressive symptoms among young adults in the Philippines: Results from a nationwide cross-sectional survey. Journal of Affective Disorders Reports, 3, 100073. https://doi.org/10.1016/j.jadr.2020.100073
  56. Reed, P., Fowkes, T., & Khela, M. (2023). Reduction in social media usage produces improvements in physical health and well-being: An RCT. Journal of Technology in Behavioral Science, 8, 140–147. https://doi.org/10.1007/s41347-023-00304-7
  57. Reimann, L., Ozimek, P., Rohmann, E., & Bierhoff, H. (2023). Validation of the Motives to Use Social Networking Sites Scale (MOTUS). Telematics and Informatics Reports, 11, 100080. https://doi.org/10.1016/j.teler.2023.100080
  58. Rosana, P. R. M. (2023). Depressive symptoms as correlates to external and       internal locus of control: Basis for truancy intervention program. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.8354798
  59. Santos, P. M. T. A., Cleofas, J. V., Austria, A. G. O., De Guzman, A. K. B., & Sarile, B. A. F. (2023). The double-edged impact of internet use on mental     health outcomes among Filipino university students: The mediating role of online social support. Frontiers in Sociology, 8. https://doi.org/10.3389/fsoc.2023.1132523
  60. Sharifian, N., Kraal, A. Z., Zaheed, A. B., Sol, K., Morris, E. P., & Zahodne, L. B. (2021). Measurement invariance of social media use in younger and older adults and links to socioemotional health. Innovation in Aging, 5(2), igab009. https://doi.org/10.1093/geroni/igab009
  61. Sim, M., Kim, S.-Y., & Suh, Y. (2022). Sample size requirements for simple and complex mediation models. Educational and Psychological Measurement, 82(1), 76–106. https://doi.org/10.1177/00131644211003261
  62. Song, H., Zhang, M., Wang, Y., Yang, L., Wang, Y., & Li, Y. (2021). The impact of resilience on anxiety and depression among grass-roots civil servants in China. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10710-2
  63. Statista. (2024, January 30). Social media users in the Philippines 2020–2029.       Statista. https://www.statista.com/forecasts/1144697/social-media-users-in-the-philippines-Ph-soc-med-statistics
  64. Steinsbekk, S., Nesi, J., & Wichstrøm, L. (2023). Social media behaviors and symptoms of anxiety and depression: A four-wave cohort study from age 10–16 years. Computers in Human Behavior, 147, 107859. https://doi.org/10.1016/j.chb.2023.107859
  65. Sumell, A. J., Chiang, E. P., Koch, S., Mangeloja, E., Sun, J., & Wu, J. P. (2021). A cultural comparison of mindfulness and student performance: Evidence           from university students in five countries. International Review of Economics Education, 37, 100213. https://doi.org/10.1016/j.iree.2021.100213
  66. Sun, P., Xing, L., Wu, J., & Kou, Y. (2023). Receiving feedback after posting       status updates on social networking sites predicts lower loneliness: A mediated moderation model. Applied Psychology: Health and Well-Being, 15(1), 97–114. https://doi.org/10.1111/aphw.12378
  67. Sun, X. (2022). A review of mindfulness and social media excessive use. Advances in Social Science, Education and Humanities Research. https://doi.org/10.2991/assehr.k.220105.238
  68. Taylor, Z., Yankouskaya, A. & Panourgia, C. (2023). Social media use, loneliness and psychological distress in emerging adults. Behaviour & Information Technology, 1–14. https://doi.org/10.1080/0144929x.2023.2209797
  69. Tobin, R., & Dunkley, D. M. (2021). Self-critical perfectionism and lower mindfulness and self-compassion predict anxious and depressive symptoms over two years. Behaviour Research and Therapy, 136, Article 103780. https://doi.org/10.1016/j.brat.2020.103780
  70. Valkenburg, P. M., Van Driel, I. I., & Beyens, I. (2021). The associations of active and passive social media use with well-being: A critical scoping review. New Media & Society, 24(2), 530–549. https://doi.org/10.1177/14614448211065425
  71. van Agteren, J., Iasiello, M., Lo, L., Bartholomaeus, J., Kopsaftis, Z., Carey, M., & Kyrios, M. (2021). A systematic review and meta-analysis of psychological interventions to improve mental well-being. Nature Human Behaviour, 5(5), 631–652. https://doi.org/10.1038/s41562-021-01093-w
  72. We Are Social & Meltwater (2024), “Digital 2024 Global Overview Report,” retrieved from https://datareportal.com/reports/digital-2024-global-overview-report on 22 September 2025.
  73. Weaver, J. L., & Swank, J. M. (2021). An examination of college students’ social media use, fear of missing out, and mindful attention. Journal of College Counseling, 24(2), 132–145. https://doi.org/10.1002/jocc.12181
  74. Weeks, C. (2023). The association of mindfulness, passive social media use, social comparisons, FoMO and depression in college students (Master’s thesis, Montclair State University). Theses, Dissertations and Culminating Projects, 1275. https://digitalcommons.montclair.edu/etd/1275
  75. Woodlief, D., Taylor, S. G., Fuller, M., Malone, P. S., & Zarrett, N. (2024). Smartphone Use and Mindfulness: Empirical Tests of a Hypothesized Connection. Mindfulness. https://doi.org/10.1007/s12671-024-02349-y
  76. Wormuth, B. (2023, January 13). Mediation analysis. Statistics Solutions. https://www.statisticssolutions.com/mediational-hypothesis/
  77. Xu, Y., Yang, G., Liu, L., & Wu, X. (2023). The influence of deliberate rumination on the post-traumatic growth of college students during the COVID-19 pandemic and the moderating role of self-efficacy. Frontiers in public health, 11, 1043402. https://doi.org/10.3389/fpubh.2023.1043402
  78. You, C., & Liu, Y. (2022). The effect of mindfulness on online self-presentation, pressure, and addiction on social media. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1034495
  79. Zhang, D., Lee, E. K. P., Mak, E. C. W., Ho, C. Y., & Wong, S. Y. S. (2021). Mindfulness-based interventions: An overall review. British Medical Bulletin, 138(1), 41–57. https://doi.org/10.1093/bmb/ldab005
  80. Zimba, O., & Gasparyan, A. Y. (2023). Designing, conducting, and reporting survey studies: A primer for researchers. Journal of Korean Medical    Science, 38(48), e403. https://doi.org/10.3346/jkms.2023.38.e403
  81. Zsila, Á., & Reyes, M. E. S. (2023). Pros & cons: Impacts of social media on mental health. BMC Psychology, 11(1), 201. https://doi.org/10.1186/s40359-023-01243-x
  82. Zulfianti, I., Sukmarini, A. V., & Djalil, N. A. (2024). The effect of “likes, comments and share” feedback on Instagram on self-esteem of English study program. Journal La Sociale, 4(5), 469–488. https://doi.org/10.37899/journal-la-sociale.v4i5.1951