Background: TikTok is one of the fastest-growing social media platforms, with more than 1.8 billion users worldwide. Because many users are adolescents and young adults, increasing concern has emerged regarding the platform’s potential psychological effects. College-aged women may be particularly vulnerable because this developmental period is characterized by identity formation, social comparison, and heightened emotional sensitivity. Aim: The present study examined whether TikTok use and exposure to mental health-related content were associated with self-esteem, mood disturbance, and body image dissatisfaction among college-aged women. Materials and Methods: Participants were 151 women between the ages of 18 and 27 years. Participants completed the Rosenberg Self-Esteem Scale, the Profile of Mood States-Short Form, and the Stunkard Figure Rating Scale, along with measures assessing TikTok usage patterns and exposure to mental health-related content. Results: Greater self-reported time spent on mental health-related TikTok content was significantly associated with increased tension and depressive mood. In contrast, overall time spent on TikTok was not significantly associated with most psychological outcome variables. Exposure to mental health-related content was also associated with higher levels of depressed and anxious mood whereas self-esteem was more strongly related to body image dissatisfaction and negative mood states than to overall TikTok use. Conclusion: While the cross-sectional design does not permit causal statements, the findings suggest that the nature of TikTok content viewed may be more important than the total time spent on the platform. Exposure to mental health-related content may be associated with elevated emotional distress among emerging adult women, highlighting the importance of examining specific types of social media engagement rather than overall platform use alone.
References
[1]
Aalbers, G., McNally, R. J., Heeren, A., de Wit, S., & Fried, E. I. (2019). Social Media and Depression Symptoms: A Network Perspective. Journal of Experimental Psychology: General, 148, 1454-1462. https://doi.org/10.1037/xge0000528
[2]
Armstrong, S., Osuch, E., Wammes, M., Chevalier, O., Kieffer, S., Meddaoui, M. et al. (2025). Self-Diagnosis in the Age of Social Media: A Pilot Study of Youth Entering Mental Health Treatment for Mood and Anxiety Disorders. Acta Psychologica, 256, Article 105015. https://doi.org/10.1016/j.actpsy.2025.105015
[3]
Arnett, J. J. (2000). Emerging Adulthood: A Theory of Development from the Late Teens through the Twenties. American Psychologist, 55, 469-480. https://doi.org/10.1037/0003-066x.55.5.469
[4]
Bahnweg, E., & Omar, H. (2023). Effects of TikTok on Adolescent Mental Health and Wellbeing. Dynamics of Human Health, 10, 1-7.
[5]
Belfort, E., MacMillan, C., & Weigle, P. (2024). Peril and Promise: Teens, Tech, and America’s Mental Health Crisis. Child and Adolescent Psychiatric Clinics of North America, 33, 485-498. https://doi.org/10.1016/j.chc.2024.03.010
[6]
Charmaraman, L., Richer, A. M., Liu, C., Lynch, A. D., & Moreno, M. A. (2021). Early Adolescent Social Media-Related Body Dissatisfaction: Associations with Depressive Symptoms, Social Anxiety, Peers, and Celebrities. Journal of Developmental & Behavioral Pediatrics, 42, 401-407. https://doi.org/10.1097/dbp.0000000000000911
[7]
Conte, G., Iorio, G. D., Esposito, D., Romano, S., Panvino, F., Maggi, S. et al. (2025). Scrolling through Adolescence: A Systematic Review of the Impact of Tiktok on Adolescent Mental Health. European Child & Adolescent Psychiatry, 34, 1511-1527. https://doi.org/10.1007/s00787-024-02581-w
[8]
Costello, N., Sutton, R., Jones, M., Almassian, M., Raffoul, A., Ojumu, O. et al. (2023). Algorithms, Addiction, and Adolescent Mental Health: An Interdisciplinary Study to Inform State-Level Policy Action to Protect Youth from the Dangers of Social Media. American Journal of Law & Medicine, 49, 135-172. https://doi.org/10.1017/amj.2023.25
[9]
Curran, S. L., Andrykowski, M. A., & Studts, J. L. (1995). Short Form of the Profile of Mood States (POMS-SF): Psychometric Information. Psychological Assessment, 7, 80-83. https://doi.org/10.1037/1040-3590.7.1.80
[10]
Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2016). The Rosenberg Self-Esteem Scale: A Review of Psychometric Properties and Applications. In F. M. Cheung (Ed.), Measures of Personality and Social Psychological Constructs (pp. 101-114). Academic Press.
[11]
Feucht, C. (2025). Self-Diagnosis Goes Viral: Exploring the Impact of Social Media on Women’s Mental Health Practices. Doctoral Dissertation, The Ohio State University.
[12]
Foster, A., & Ellis, N. (2024). TikTok-Inspired Self-Diagnosis and Its Implications for Educational Psychology Practice. Educational Psychology in Practice, 40, 491-508. https://doi.org/10.1080/02667363.2024.2409451
[13]
Foulkes, L., & Underhill, R. (2025). Self-Diagnosis of Mental Disorders: A Qualitative Study of Attitudes on Reddit. Qualitative Health Research, 35, 779-792. https://doi.org/10.1177/10497323241288785
[14]
Frey, J., Black, K. J., & Malaty, I. A. (2022). TikTok Tourette’s: Are We Witnessing a Rise in Functional Tic-Like Behavior Driven by Adolescent Social Media Use? Psychology Research and Behavior Management, 15, 3575-3585. https://doi.org/10.2147/prbm.s359977
[15]
Gardner, R. M., Friedman, B. N., & Jackson, N. A. (1999). Methodological Concerns When Using Silhouettes to Measure Body Image. Perceptual and Motor Skills, 86, 387-395. https://doi.org/10.2466/pms.1998.86.2.387
[16]
Giedinghagen, A. (2023). The Tic in Tiktok and (Where) All Systems Go: Mass Social Media Induced Illness and Munchausen’s by Internet as Explanatory Models for Social Media Associated Abnormal Illness Behavior. Clinical Child Psychology and Psychiatry, 28, 270-278. https://doi.org/10.1177/13591045221098522
[17]
Grabe, S., & Hyde, J. S. (2006). Ethnicity and Body Dissatisfaction among Women in the United States: A Meta-Analysis. Psychological Bulletin, 132, 622-640. https://doi.org/10.1037/0033-2909.132.4.622
[18]
Haltigan, J. D., Pringsheim, T. M., & Rajkumar, G. (2023). Social Media as an Incubator of Personality and Behavioral Psychopathology: Symptom and Disorder Authenticity or Psychosomatic Social Contagion? Comprehensive Psychiatry, 121, Article 152362. https://doi.org/10.1016/j.comppsych.2022.152362
[19]
Keles, B., McCrae, N., & Grealish, A. (2020). A Systematic Review: The Influence of Social Media on Depression, Anxiety and Psychological Distress in Adolescents. International Journal of Adolescence and Youth, 25, 79-93. https://doi.org/10.1080/02673843.2019.1590851
[20]
Keyes, K. M., Gary, D., O’Malley, P. M., Hamilton, A., & Schulenberg, J. (2019). Recent Increases in Depressive Symptoms among US Adolescents: Trends from 1991 to 2018. Social Psychiatry and Psychiatric Epidemiology, 54, 987-996. https://doi.org/10.1007/s00127-019-01697-8
[21]
Khalid, M. A., Khan, M. B., Irfan, M., Shabbir, M. H., & Tayyab, M. (2026). Cognitive Overload and Emotional Regulation in High-Frequency Social Media Users. The Critical Review of Social Sciences Studies, 4, 3281-3287. https://doi.org/10.59075/tnzgvh98
[22]
Lovejoy, M. (2001). Disturbances in the Social Body. Gender & Society, 15, 239-261. https://doi.org/10.1177/089124301015002005
[23]
MacMillan, C. M. (2024). 86.3 DSM-TikTok: Differential Diagnosis of the Performative Sick-Role on Social Media. Journal of the American Academy of Child & Adolescent Psychiatry, 63, S121. https://doi.org/10.1016/j.jaac.2024.07.527
[24]
McNair, D. M. (1992). Profile of Mood States. Educational and Industrial Testing Service.
[25]
McNair, D. M., Lorr, M., & Droppleman, L. F. (1981). Manual for the Profile of Mood States. Educational and Industrial Testing Service.
[26]
Nwabueze, K. K., Akubue, N., Onakoya, A., Okolieze, S. C., Otaniyen-Igbinoba, I. J., Chukwunonye, C. et al. (2025). Exploring the Prevalence and Risk Factors of Adolescent Mental Health Issues in the COVID and Post-COVID era in the UK: A Systematic Review. EXCLI Journal, 24, 508-524.
[27]
Panchal, S., Sodha, S., & Vidani, J. (2024). Online Social Comparison and Its Effect on Self-Esteem and Mental Health. Journal of Advanced Research in Service Management, 7, 6-13.
[28]
Prolific (2026). How Prolific Maintains Its Data Quality. How Prolific Maintains Its Data Quality. Prolific.
[29]
Roberts, A., Cash, T. F., Feingold, A., & Johnson, B. T. (2006). Are Black-White Differences in Females’ Body Dissatisfaction Decreasing? A Meta-Analytic Review. Journal of Consulting and Clinical Psychology, 74, 1121-1131. https://doi.org/10.1037/0022-006x.74.6.1121
[30]
Robins, R. W., Hendin, H. M., & Trzesniewski, K. H. (2001). Measuring Global Self-Esteem: Construct Validation of a Single-Item Measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 27, 151-161. https://doi.org/10.1177/0146167201272002
[31]
Romann, L. R., & Oeldorf-Hirsch, A. (2025). Exploring Algorithmic Cultivation-Sensitive Self-Disclosure, Self-Diagnosis, and Hazardous Mental Health Communication on TikTok. Journal of Media Psychology, Advance Online Publication. https://doi.org/10.1027/1864-1105/a000474
[32]
Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton University Press.
[33]
Rutter, L. A., Howard, J., Lakhan, P., Valdez, D., Bollen, J., & Lorenzo-Luaces, L. (2023). “I Haven’t Been Diagnosed, but I Should Be”—Insight into Self-Diagnoses of Common Mental Health Disorders: Cross-Sectional Study. JMIR Formative Research, 7, e39206. https://doi.org/10.2196/39206
[34]
Schmitt, D. P., & Allik, J. (2005). Simultaneous Administration of the Rosenberg Self-Esteem Scale in 53 Nations: Exploring the Universal and Culture-Specific Features of Global Self-Esteem. Journal of Personality and Social Psychology, 89, 623-642. https://doi.org/10.1037/0022-3514.89.4.623
[35]
Searight, H. R., & Montone, K. (2017). Profile of Mood States. In V. Zeigler-Hill, & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-6). Springer International Publishing. https://doi.org/10.1007/978-3-319-28099-8_63-1
[36]
Shacham, S. (1983). A Shortened Version of the Profile of Mood States. Journal of Personality Assessment, 47, 305-306. https://doi.org/10.1207/s15327752jpa4703_14
[37]
Shensa, A., Sidani, J. E., Dew, M. A., Escobar-Viera, C. G., & Primack, B. A. (2018). Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis. American Journal of Health Behavior, 42, 116-128. https://doi.org/10.5993/ajhb.42.2.11
[38]
Sinclair, S. J., Blais, M. A., Gansler, D. A., Sandberg, E., Bistis, K., & LoCicero, A. (2010). Psychometric Properties of the Rosenberg Self-Esteem Scale: Overall and across Demographic Groups Living within the United States. Evaluation & the Health Professions, 33, 56-80. https://doi.org/10.1177/0163278709356187
[39]
Stunkard, A. J., S?rensen, T., & Schulsinger, F. (1983). Use of the Danish Adoption Register for the Study of Obesity and Thinness. In S. S. Kety, L. P. Rowland, R. L. Sidman, & S. W. Matthysse (Eds.), The Genetics of Neurological and Psychiatric Disorders (pp. 115-120). Raven Press.
[40]
Thompson, M. A., & Gray, J. J. (1995). Development and Validation of a New Body-Image Assessment Scale. Journal of Personality Assessment, 64, 258-269. https://doi.org/10.1207/s15327752jpa6402_6
[41]
Thorisdottir, I. E., Sigurvinsdottir, R., Kristjansson, A. L., Allegrante, J. P., Lilly, C. L., & Sigfusdottir, I. D. (2020). Longitudinal Association between Social Media Use and Psychological Distress among Adolescents. Preventive Medicine, 141, Article 106270. https://doi.org/10.1016/j.ypmed.2020.106270
[42]
Twenge, J. M., Haidt, J., Lozano, J., & Cummins, K. M. (2022). Specification Curve Analysis Shows That Social Media Use Is Linked to Poor Mental Health, Especially among Girls. Acta Psychologica, 224, Article 103512. https://doi.org/10.1016/j.actpsy.2022.103512
[43]
Vidal, C., Lhaksampa, T., Miller, L., & Platt, R. (2020). Social Media Use and Depression in Adolescents: A Scoping Review. International Review of Psychiatry, 32, 235-253. https://doi.org/10.1080/09540261.2020.1720623
[44]
Yan, G., Zhang, X., Pei, H., & Li, Y. (2024). An Emotion-Information Spreading Model in Social Media on Multiplex Networks. Communications in Nonlinear Science and Numerical Simulation, 138, Article 108251. https://doi.org/10.1016/j.cnsns.2024.108251