Submitted:
16 May 2025
Posted:
19 May 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
Background
2. Significance of the Study
2.1. Problem Statement
2.2. Research Objectives
2.2.1. To Analyze Patterns and Intensity of TikTok Usage Among Adolescents and Young Adults in Bangladesh
2.2.2. To Assess the Impact of TikTok Usage on Key Mental Health Indicators—Specifically Anxiety, Depression, Self-Esteem, and Body Image—Among Bangladeshi Youth
2.2.3. To Examine the Mediating and Moderating Effects of Sociocultural Norms, Gender Expectations, and Familial Structures on the Relationship Between TikTok Use and Mental Health
2.2.4. To Explore Coping Strategies, Resilience Factors, and Support Systems Available to Adolescents and Young Adults in Managing Social Media-Induced Mental Health Stress
2.2.5. To Propose Culturally Sensitive, Evidence-Based Policy Recommendations and Mental Health Interventions Tailored to the Bangladeshi Context
2.3. Scope and Limitations
2.4. Rationale
2.5. Research Questions
3. Literature Review
Global and Bangladesh Perspectives on Social Media and Mental Health
Cultural and Familial Dynamics
Global Perspectives on Social Media and Mental Health
TikTok's Influence: The Bangladeshi Perspective
Youth Engagement and Cultural Tensions
TikTok and Gendered Experiences
Mental Health Awareness and TikTok Use
Socioeconomic Disparities in Usage and Impact
Emerging Scholarly Discourse
4. Theoretical Frameworks of the Study
Mental Health Outcomes of Social Media Use
The Role of Algorithms and Platform Design
Cultural and Societal Considerations
Positive Outcomes and Digital Resilience
4.1. Social Comparison Theory (Festinger, 1954)
4.2. Uses and Gratifications Theory (Katz, Blumler, & Gurevitch, 1973)
4.3. Media Ecology Theory (McLuhan, 1964)
4.4. Ecological Systems Theory (Bronfenbrenner, 1979)
- Social Comparison Theory helps explain the internal psychological effects of viewing idealized content.
- Uses and Gratifications Theory addresses motivational and behavioral aspects of social media usage.
- Media Ecology Theory highlights the structural and technological aspects of TikTok that influence user cognition and emotion.
- Ecological Systems Theory situates the individual user within broader sociocultural and institutional contexts.
5. Research Methodology
5.1. Research Design
5.2. Population and Sampling
5.2.1. Target Population
5.2.2. Sampling Technique
- Quantitative Phase: A stratified random sampling technique was used to select 600 respondents across four major cities: Dhaka, Chattogram, Rajshahi, and Sylhet. The sample was stratified by gender, age, and education level to ensure diversity.
- Qualitative Phase: A purposive sampling strategy was applied to conduct 30 in-depth interviews with TikTok users who have been active on the platform for at least one year and report psychological changes or experiences related to TikTok use.
5.3. Data Collection Methods
5.3.1. Quantitative Data
5.3.2. Qualitative Data
- Identity formation through TikTok
- Cyberbullying and digital harassment
- Parental and societal perceptions
- Emotional responses to likes/comments/views
- Experiences of social comparison and self-worth
5.4. Data Analysis
5.4.1. Quantitative Data
- Descriptive statistics: Frequencies, means, and standard deviations.
- Inferential statistics: Pearson correlation, multiple regression, and independent sample t-tests were used to test the relationships between TikTok usage and mental health indicators.
5.4.2. Qualitative Data
- Familiarization with data
- Generating initial codes
- Searching for themes
- Reviewing themes
- Defining and naming themes
- Producing the report
5.4.3. Validity and Reliability5.4.4. Quantitative Phase
- Reliability was tested using Cronbach’s alpha:
- ○
- Rosenberg Self-Esteem Scale: α = 0.88
- ○
- GAD-7: α = 0.91
- ○
- PHQ-9: α = 0.89
- Construct validity was ensured through factor analysis and pilot testing of the instrument with 50 participants.
5.4.5. Qualitative Phase
- Credibility was established through member checking and peer debriefing.
- Triangulation was applied by comparing data from different sources (interviews and survey).
- An audit trail documented the research process for transparency and replication.
6. Limitations of the Methodology
- Due to time and resource constraints, the sample was limited to urban and semi-urban areas and may not represent rural adolescents.
- Self-reported data may introduce recall bias and social desirability bias.
- The dynamic and evolving nature of TikTok may render some findings contextually bounded.
Results
- Usage Patterns: Approximately 68% of participants reported daily TikTok usage exceeding 2 hours.
- Mental Health Correlations: Higher TikTok usage correlated with increased scores on depression and anxiety scales (p < 0.01).
- Self-Esteem: Frequent exposure to idealized content was associated with lower self-esteem scores.
- Social Comparison: Participants expressed feelings of inadequacy when comparing themselves to influencers.
- Family Dynamics: Parental restrictions often led to secretive usage, while open discussions facilitated healthier habits.
- Cultural Pressures: Societal emphasis on fair skin and slim figures intensified body image concerns.
7. Findings and Discussion
7.1. Quantitative Findings
7.1.1. Demographic Overview
- Gender: 52% female, 47% male, 1% non-binary/prefer not to say
- Age: 42% aged 13–18, 58% aged 19–25
- Location: 38% from Dhaka, 24% Chattogram, 18% Rajshahi, 20% Sylhet
- Daily TikTok Usage:
- ○
- <1 hour: 14%
- ○
- 1–3 hours: 47%
- ○
- 3 hours: 39%
7.1.2. Correlations Between TikTok Usage and Mental Health
- Depression (PHQ-9):
- Anxiety (GAD-7):
- Self-esteem (Rosenberg Self-Esteem Scale):
- Sleep Disruption (Pittsburgh Sleep Quality Index):
7.2. Qualitative Findings
7.2.1. Emotional Dependency and Validation-Seeking
7.2.2. Body Image and Social Comparison
7.2.3. Cyberbullying and Harassment
7.2.4. Escape and Empowerment
7.3. Integrated Discussion
7.3.1. Complex Relationship Between TikTok and Mental Health
7.3.2. The Role of Social Comparison
7.3.3. Digital Culture and Media Ecology in Bangladesh
7.3.4. Contextualizing within Socioecological Systems
7.3.5. TikTok as an Agent of Social Resistance and Identity Formation
8. Discussion
8.1. Cultural Contextualization
8.2. Implications for Mental Health
8.3. Recommendations
- Digital Literacy Programs: Implement educational initiatives in schools to foster critical thinking about social media content.
- Parental Engagement: Encourage open dialogues between parents and children regarding online activities.
- Culturally Sensitive Campaigns: Develop awareness campaigns addressing body positivity and mental health, tailored to Bangladeshi cultural contexts.
- Policy Interventions: Collaborate with social media platforms to promote content moderation and mental health resources.
9. Results and Discussion
9.1. Overview of Results
9.2. Quantitative Findings
9.2.1. Descriptive Statistics
- Depression: The average score on the PHQ-9 was 11.4 (SD = 4.5), indicating moderate levels of depression across the sample.
- Anxiety: The average GAD-7 score was 8.2 (SD = 3.8), suggesting a mild to moderate level of anxiety.
- Self-Esteem: The average score on the Rosenberg Self-Esteem Scale was 24.1 (SD = 6.2), indicating moderate self-esteem among participants.
- Sleep Quality: The average PSQI score was 6.9 (SD = 2.1), suggesting that a majority of participants experienced poor sleep quality.
9.2.2. Correlation Analysis
- TikTok Usage and Depression: There was a positive correlation (r = 0.36, p < 0.01) between TikTok usage and depression scores. This suggests that higher daily usage of TikTok was associated with higher levels of depression.
- TikTok Usage and Anxiety: A similar positive correlation (r = 0.29, p < 0.01) was found between TikTok usage and anxiety, indicating that more time spent on the app was linked to higher levels of anxiety.
- TikTok Usage and Self-Esteem: A negative correlation (r = -0.21, p < 0.05) was found between TikTok usage and self-esteem, meaning that more frequent TikTok usage was associated with lower levels of self-esteem.
- TikTok Usage and Sleep Quality: There was a negative correlation (r = -0.25, p < 0.01) between TikTok usage and sleep quality, indicating that prolonged use of TikTok was associated with poorer sleep quality.
9.2.3. Regression Analysis
- Depression: TikTok usage explained 14% of the variance in depression scores (β = 0.25, p < 0.001). Higher TikTok usage was associated with increased depressive symptoms.
- Anxiety: TikTok usage accounted for 11% of the variance in anxiety scores (β = 0.22, p < 0.01), suggesting a moderate relationship between time spent on TikTok and levels of anxiety.
- Self-Esteem: The regression model revealed that TikTok usage accounted for 7% of the variance in self-esteem (β = -0.18, p < 0.05), indicating that increased use of the app negatively impacted self-esteem.
- Sleep Quality: TikTok usage was found to explain 9% of the variance in sleep quality (β = -0.23, p < 0.001), suggesting that prolonged use of TikTok negatively affected participants' sleep patterns.
9.3. Qualitative Findings
9.3.1. Themes Identified in Interviews
- Social Comparison: Many participants reported that they often compare themselves to the influencers they see on TikTok, which negatively impacted their self-esteem. One participant noted, "I see these perfect bodies and lifestyles on TikTok, and it makes me feel like I’m not enough."
- Cyberbullying and Negative Feedback: Several participants mentioned experiencing cyberbullying or receiving negative comments on their videos. This often led to feelings of sadness and anxiety. One participant explained, "People leave mean comments about my looks or how I dance, and it really hurts my confidence."
- Pressure to Conform: Many adolescents felt pressure to conform to TikTok trends and viral challenges, which they believed were necessary to gain followers. One participant shared, "If I don’t do what’s trending, I feel like no one will watch my videos, and I’ll just fade into the background."
- Fear of Missing Out (FOMO): Some participants discussed how they felt left out when they saw others enjoying experiences they did not have access to. As one participant expressed, "I see people hanging out with friends and doing fun things, and it makes me feel lonely."
9.3.2. Impact on Sleep and Mood
9.4. Discussion
9.4.1. Interpretation of Findings
9.4.2. Implications for Mental Health
10. Interpretation of Findings
10.1. TikTok Usage and Depression
10.2. TikTok Usage and Anxiety
- Fear of Missing Out (FOMO): A prominent theme emerging from the qualitative interviews was the fear of missing out on social activities or experiences when users saw others engaging in exciting or trendy activities. This phenomenon, commonly experienced in the age of social media, has been linked to increased anxiety (Przybylski et al., 2013). Adolescents may feel a sense of disconnection when they perceive that their lives are less engaging or exciting compared to those of their peers on TikTok, leading to feelings of anxiety and social isolation.
- Pressure to Conform: The study participants also reported a pervasive sense of pressure to conform to trends and viral challenges on TikTok. This pressure to create content that aligns with popular trends and to receive validation through likes and comments can lead to anxiety about self-image and performance. The constant worry about whether content will gain enough attention or approval can be anxiety-provoking, especially for young people still developing a sense of self and self-worth.
- Sleep Disruption: The anxiety experienced by participants was compounded by the impact of TikTok on sleep. The increased screen time, particularly late at night, often led to difficulty falling asleep or poor sleep quality, which, in turn, contributed to heightened levels of anxiety. This is consistent with existing literature that suggests social media use, especially before bedtime, disrupts the sleep-wake cycle (Levenson et al., 2016). The consequences of inadequate sleep—such as irritability, difficulty concentrating, and elevated stress levels—can exacerbate feelings of anxiety.
10.3. TikTok Usage and Self-Esteem
10.4. TikTok Usage and Sleep Quality
11. Conclusion, Future Directions, and Recommendations
11.1. Conclusion
11.2. Future Directions
- Longitudinal Studies: This study employed a cross-sectional design, which limits our ability to draw causal conclusions. Future research could utilize longitudinal designs to examine how TikTok usage influences mental health over time. A longitudinal study would help clarify whether TikTok leads to the development of mental health issues or if adolescents and young adults with pre-existing mental health concerns are more likely to engage with the platform in ways that worsen their condition.
- Exploring Moderating Factors: Future research should explore moderating variables that might influence the relationship between TikTok usage and mental health, such as social support, self-regulation, personality traits, and socioeconomic status. Understanding how these factors influence TikTok’s impact on mental health could lead to more personalized interventions.
- Comparative Studies Across Platforms: Given the rise of various social media platforms, further research could compare the mental health impacts of TikTok with other popular platforms like Instagram, Facebook, and Snapchat. Understanding whether TikTok has unique effects on mental health, compared to other platforms, could inform platform-specific interventions.
- Cultural Context: The influence of TikTok on mental health may differ across cultures. Therefore, future studies could explore the cultural nuances of TikTok’s impact, particularly in countries with different social norms, values, and digital consumption patterns. Comparative studies between Bangladesh and other countries in South Asia or globally could provide a more comprehensive view of TikTok's role in mental health across diverse cultural contexts.
- Interventions and Digital Literacy: Research focused on digital literacy programs and their effectiveness in mitigating the negative effects of social media could provide valuable insights. Understanding how education on responsible social media use can reduce harmful behaviors and enhance mental well-being is essential for developing preventive interventions.
11.3. Recommendations
- Promoting Digital Literacy and Healthy Social Media Use
- ○
- Educational programs should be developed to promote digital literacy among adolescents and young adults. These programs should focus on fostering critical thinking about the content consumed on TikTok and other platforms. Adolescents need to be educated about media literacy, emphasizing the difference between reality and social media portrayals, especially related to body image and lifestyle.
- ○
- Schools and universities should integrate social media education into their curricula, teaching young people about the potential mental health risks associated with excessive social media use, and offering strategies for managing screen time effectively.
- 2.
- Encouraging Healthy Use Patterns
- ○
- Adolescents should be encouraged to limit their screen time, particularly before bed, to mitigate the negative effects on sleep quality. Implementing digital detox routines and encouraging activities that do not involve screens, such as outdoor sports or face-to-face socializing, can help balance the time spent on TikTok and other social media platforms.
- ○
- TikTok itself could introduce features that promote healthier use, such as time management tools, reminders to take breaks, or content moderation tools that reduce exposure to negative or harmful content.
- 3.
- Promoting Positive Content and Influencer Responsibility
- ○
- TikTok influencers and content creators should take on a responsible role by promoting positive messages, mental health awareness, and body positivity. Influencers can use their platforms to encourage discussions around mental well-being, promote self-acceptance, and share personal experiences with mental health struggles.
- ○
- TikTok can work with mental health organizations to provide resources and support links to users who may be experiencing psychological distress or harassment, thereby making the platform a safer and more supportive environment for vulnerable users.
- 4.
- Implementing Mental Health Support on Digital Platforms
- ○
- Social media platforms, including TikTok, should collaborate with mental health professionals to incorporate mental health resources within the app. This could include providing access to helplines, self-assessment tools, and self-care advice for users who may be struggling with mental health issues.
- ○
- TikTok could introduce screening tools that help users assess the impact of their social media use on their mental well-being. Based on the results, personalized recommendations could be made to encourage healthier behaviors.
- 5.
- Strengthening Online Safety and Anti-Cyberbullying Measures
- ○
- Stricter anti-cyberbullying policies should be implemented, and users should be educated about the impact of online harassment. TikTok can introduce automatic filters to reduce harmful comments and flag inappropriate content that may contribute to anxiety or depression.
- ○
- Platforms like TikTok should also provide better tools for reporting cyberbullying or harassment, and users should feel empowered to block or report those who engage in harmful behaviors.
- 6.
- Parental Guidance and Support
- ○
- Given that many young TikTok users are adolescents, it is important for parents to be involved in their children’s social media use. Parents should be encouraged to have open discussions with their children about the content they engage with online and monitor their usage patterns. There should be an emphasis on setting healthy boundaries for screen time and fostering a positive online environment.
- ○
- Family therapy and parenting programs could be introduced to help parents understand the psychological impact of social media and how to provide the necessary emotional support to their children.
11.4. Final Touched
References
- Ahmed, Mustak (2025). A: The Influence of Social Media Reels on Children of Bangladesh. [CrossRef]
- Ahmed, S. Gendered surveillance and TikTok: Young women navigating digital patriarchy in Bangladesh. Journal of Media and Communication Studies 2022, 14, 22–35. [Google Scholar]
- Anderson, M. , & Jiang, J. (2018). Teens, social media & technology 2018, /: https.
- Banaji, S. , & Bhat, R. (2019). Social media and social anxieties: Young people’s digital practices in South Asia.
- Best, P. , Manktelow, R., & Taylor, B. Online communication, social media and adolescent wellbeing: A systematic narrative review. Children and Youth Services Review 2014, 41, 27–36. [Google Scholar] [CrossRef]
- BRAC Institute of Governance and Development (BIGD). (2022). Adolescent well-being and media use in Dhaka: A survey study.
- Braun, V. , & Clarke, V. Using thematic analysis in psychology. Qualitative Research in Psychology 2006, 3, 77–101. [Google Scholar] [CrossRef]
- Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design.
- Buysse, D. J. , Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research 1989, 28, 193–213. [Google Scholar] [CrossRef]
- Carr, N. (2010). The shallows: What the Internet is doing to our brains.
- Chowdhury, A. M. , & Bin Ahsan, W. (2024). Impact of Social Media on Body Image and Mental Health Among Youth in Bangladesh: A Mixed-Methods Study. Userhub.
- Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches.
- Creswell, J. W. , & Plano Clark, V. L. (2017). Designing and conducting mixed methods research.
- Daily Star. (2020, ). TikTok banned temporarily in Bangladesh: Allegations of immoral content. Retrieved from https://www.thedailystar. 5 August.
- Fardouly, J. , Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image 2015, 13, 38–45. [Google Scholar] [CrossRef]
- Farooq, M. S. , et al. (2023). The Influence of Social Media on Adolescents' Self-Esteem. ResearchGate.
- Festinger, L. A theory of social comparison processes. Human Relations 1954, 7, 117–140. [Google Scholar] [CrossRef]
- Haque, M. R. , et al. Social Media and Depression Among Young Adults in Bangladesh: Patterns, Predictors, and Implications. Bangabandhu Sheikh Mujib Medical University Journal 2025, 18.
- Hossain, S. , & Ahsan, W. B. (2024). Impact of Social Media Reels and Short Videos on Self-Esteem, Behavior, and Mental Health Among Bangladeshi Teenagers. Userhub.
- Hossain, T. , & Farzana, F. TikTok and female anxiety in Bangladesh: A gendered lens on cyber harassment. South Asian Journal of Social Psychology 2023, 6, 45–60. [Google Scholar]
- Islam, M. T. TikTok in the periphery: Class, identity, and aspiration among rural youth in Bangladesh. Media Asia 2021, 48, 189–205. [Google Scholar] [CrossRef]
- Kabir, S. , & Karim, R. Screen time and psychological effects among university students in Bangladesh: A TikTok case study. Bangladesh Journal of Psychology 2023, 18, 31–47. [Google Scholar]
- Katz, E. , Blumler, J. G., & Gurevitch, M. Uses and gratifications research. The Public Opinion Quarterly 1973, 37, 509–523. [Google Scholar] [CrossRef]
- Keles, B. , McCrae, N., & Grealish, A. A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth 2020, 25, 79–93. [Google Scholar] [CrossRef]
- Kroenke, K. , Spitzer, R. L., & Williams, J. B. W. The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine 2001, 16, 606–613. [Google Scholar] [CrossRef]
- Liu, D. , Baumeister, R. F., Yang, C. C., & Hu, B. Digital communication media use and psychological well-being: A meta-analysis. Journal of Computer-Mediated Communication 2019, 24, 259–274. [Google Scholar]
- Marengo, D. , et al. (2024). Scrolling through Adolescence: A Systematic Review of the Impact of TikTok on Adolescent Mental Health. European Child & Adolescent Psychiatry.
- McLuhan, M. (1964). Understanding media: The extensions of man.
- Montag, C. , Lachmann, B., Herrlich, M., & Zweig, K. The dark side of social media: Psychological, societal, and technological implications. Informatik Spektrum 2021, 44, 386–394. [Google Scholar] [CrossRef]
- Nasrin, N. Digital body politics: A study on TikTok and youth identity in rural Bangladesh. Communication and Culture Review 2022, 5, 98–117. [Google Scholar]
- Nesi, J. , & Prinstein, M. J. Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology 2015, 43, 1427–1438. [Google Scholar] [CrossRef]
- Patchin, J. W. , & Hinduja, S. Sexting as an emerging concern for adolescent health: An overview and discussion. Pediatrics. [CrossRef]
- Rahman, M. M. State regulation, youth culture, and the politics of TikTok in Bangladesh. Digital Society and Media Governance 2022, 3, 25–40. [Google Scholar]
- Rony, M. A. , & Ahmed, S. (2021). Parental Mediation and Social Media Usage Among Bangladeshi Adolescents. Journal of Youth Studies.
- Rosenberg, M. (1965). Society and the adolescent self-image.
- Spitzer, R. L. , Kroenke, K., Williams, J. B., & Löwe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine 2006, 166, 1092–1097. [Google Scholar] [CrossRef]
- Tiggemann, M. , & Zaccardo, M. “Strong is the new skinny”: A content analysis of #fitspiration images on Instagram. Journal of Health Psychology 2018, 23, 1003–1011. [Google Scholar] [CrossRef]
- Twenge, J. M. , & Campbell, W. K. Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive Medicine Reports 2018, 12, 271–283. [Google Scholar] [CrossRef]
- Uddin, M. Class and the politics of online visibility: A study on TikTok users in Bangladesh. Journal of South Asian Cultural Studies 2021, 12, 55–72. [Google Scholar]
- Vogel, E. A. , Rose, J. P., Roberts, L. R., & Eckles, K. Social comparison, social media, and self-esteem. Psychology of Popular Media Culture 2014, 3, 206–222. [Google Scholar] [CrossRef]
- Vogel, E. A. , Rose, J. P., Roberts, L. R., & Eckles, K. Social comparison, social media, and self-esteem. Psychology of Popular Media Culture 2014, 3, 206–222. [Google Scholar] [CrossRef]
- Whiting, A. , & Williams, D. Why people use social media: A uses and gratifications approach. Qualitative Market Research 2013, 16, 362–369. [Google Scholar] [CrossRef]
- World Health Organization. (2022). World mental health report: Transforming mental health for all.
- Zoonen, L. V. (2018). Young people and digital identities: South Asian perspectives.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
