Submitted:
08 June 2025
Posted:
09 June 2025
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Abstract
Keywords:
1. Introduction
1.1. Background
1.2. Emergence of Fast-Food Culture in Bangladesh
1.3. Youth as a Primary Target of Fast-Food Marketing
1.4. Health Implications and Public Concerns
1.2. Problem Statement
1.3. Research Objectives
- Examine fast-food consumption patterns among Bangladeshi youth aged 16–25.
- Explore the role of social media in shaping perceptions and preferences for fast food.
- Assess the health risks associated with fast-food consumption among this demographic.
- Provide recommendations for public policy, media regulation, and health awareness.
- 5.
- To examine the patterns and frequency of fast-food consumption among youth (ages 16–25) in urban Bangladesh.
- 6.
- To explore the role of social media in shaping youth attitudes and behaviors related to fast-food consumption.
- 7.
- To assess the perceived and actual health consequences associated with fast-food habits in this demographic.
- 8.
- To analyze how social media advertisements and influencer marketing strategies affect food choices among youth.
- 9.
- To offer policy recommendations for public health campaigns, digital literacy programs, and media regulation to address health risks associated with fast-food culture.
1.4. Research Questions
- What are the key factors influencing fast-food consumption among youth in Bangladesh?
- How does social media affect young people’s attitudes toward fast food?
- What are the perceived and actual health consequences of fast-food consumption among urban youth?
- How can digital platforms be utilized for counter-marketing and health promotion?
-
What are the key motivators and sociocultural factors that influence fast-food consumption among Bangladeshi youth?
- How does exposure to social media marketing impact youth perceptions of fast food?
- What is the relationship between fast-food consumption patterns and health indicators (e.g., BMI, self-reported health) among urban youth?
- What are the content strategies used by fast-food brands on social media platforms in Bangladesh?
- How do peer influence, digital engagement, and brand loyalty interact to shape food behavior?
1.5. Significance of the Study
1.7. Research Hypotheses
2. Literature Review
2.1. Global Fast-Food Trends and Youth Health
2.2. Theoretical Frameworks: Health Belief Model and Media Dependency Theory
2.2.1. Health Belief Model (HBM)
2.2.2. Media Dependency Theory
2.3. Youth Behavioral Patterns in Bangladesh
2.4. Social Media’s Influence on Food Choices
2.5. Fast-Food Marketing and Branding Strategies
- Influencer Marketing: Collaborating with social media influencers to promote products, thereby leveraging their follower base to reach potential customers.
- User-Generated Content: Encouraging customers to share their experiences on social media, creating organic promotion and community engagement.
- Promotional Campaigns: Offering discounts, combo deals, and limited-time offers to entice consumers.
- Emotional Branding: Associating the brand with positive emotions, such as happiness, friendship, and celebration, to foster emotional connections with consumers (Kotler & Keller, 2016).
3. Theoretical Frameworks Guiding the Study
3.1.1. Health Belief Model (HBM)
3.1.2. Media Dependency Theory (MDT)
3.1.3. Integrating HBM and MDT in Context
- Why do youth continue consuming fast food despite knowing the health risks?
- How do social media environments shape the perception and desirability of fast food?
- What psychological and informational dependencies are being cultivated by fast-food branding and digital marketing?
3.1.4. Empirical Support for Theoretical Application
3.5. Gaps in Previous Research
4. Methodology
4.1. Research Design
4.2. Sampling Strategy
4.2.1. Target Population
4.2.2. Sampling Techniques
- Quantitative Sampling: A stratified random sampling technique was employed to ensure representation across different universities, academic disciplines, and gender. This method enhances the generalizability of the findings to the broader student population (Scribbr, 2020).
- Qualitative Sampling: For the FGDs, a purposive sampling strategy was utilized to select participants who are regular consumers of fast food and active users of social media. This approach ensures that participants have relevant experiences to share, enriching the qualitative data (Scribbr, 2020).
4.3. Data Collection Tools
4.3.1. Surveys
4.3.2. Focus Group Discussions (FGDs)
4.3.3. Content Analysis
4.4. Analytical Techniques
4.4.1. Quantitative Data Analysis
4.4.2. Qualitative Data Analysis
4.5. Ethical Considerations
5. Results and Analysis
5.1. Youth Dietary Patterns and Fast-Food Consumption

5.2. Health Risks: Obesity, Diabetes, and Cardiovascular Issues
5.3. Social Media Usage Trends Among Youth
- Facebook: 90%
- YouTube: 85%
- Instagram: 70%
- TikTok: 65%
5.4. Types of Promotional Content on Social Media Platforms
- Visual Appeal: High-resolution images and videos showcasing menu items to entice viewers.
- Influencer Collaborations: Partnerships with local influencers to promote products, leveraging their follower base.
- User-Generated Content: Encouraging customers to share their dining experiences, creating a sense of community and authenticity.
- Interactive Campaigns: Contests, polls, and challenges designed to engage users and increase brand visibility.
5.5. Correlation Between Exposure and Consumption Behavior

6. Discussion
6.1. Interpretation of Key Findings
6.2. Comparison with Global Research
6.3. Cultural Factors Shaping Consumption in Bangladesh
6.4. Role of Influencers, Memes, and Hashtags
6.5. Responsibility of Social Media Platforms and Corporations
7. Proposed Conceptual Model: Youth Fast-Food Consumption, Social Media Influence, and Health Outcomes
- Column 1: Social Media Exposure
- Column 2: Cognitive-Affective Processing (HBM and MDT constructs)
- Column 3: Behavioral Responses
- Column 4: Health Outcomes
- Column 5: Moderating Variables (influencing all previous columns)
- Longitudinal studies examining how media exposure over time affects dietary and health outcomes
- Intervention design targeting belief modification (e.g., awareness campaigns)
- Cross-cultural comparisons (e.g., Bangladesh vs. India, urban vs. rural)
- Mixed-method studies incorporating focus groups, content analysis, and biometric data
- H1: Increased exposure to fast-food content on TikTok is positively associated with weekly fast-food consumption among urban Bangladeshi youth.
- H2: Perceived severity and self-efficacy mediate the relationship between social media exposure and fast-food consumption.
- H3: Youth from higher SES backgrounds report greater perceived benefits and lower perceived barriers to consuming fast food.
- H4: Peer-shared content on Instagram generates stronger behavioral cues than sponsored content.

7.1. Conclusion
7.1.1. Summary of Key Findings
7.1.2. Thematic Synthesis
7.1.3. Theoretical Integration
7.2. Policy Recommendations
7.2.1. Government and Regulatory Bodies
- Digital Food Advertising Regulation
- 2.
- Nutritional Labeling and Caloric Transparency
- 3.
- Taxation on Ultra-Processed Foods
- 4.
- Zoning Policies to Regulate Outlet Proximity
7.2.2. Educational Institutions
- 1.
- Integrating Food Literacy in Curriculum
- 2.
- Food and nutrition literacy should be included as a compulsory subject at secondary and tertiary levels. Modules should cover critical skills such as reading food labels, understanding dietary needs, and analyzing marketing strategies.
- 3.
- School-Based Interventions
- 4.
- Peer-Led Health Campaigns
7.2.3. Health Sector
- 1.
- Youth Health Monitoring Programs
- 2.
- Digital Health Messaging
- 3.
- Public–Private Partnerships (PPP)
7.2.4. Social Media Platforms and Technology Companies
- 1.
- Ethical Content Moderation
- 2.
- Data Sharing and Analytics
- 3.
- Promotion of Positive Health Influencers
7.2.5. Civil Society and NGOs
- 1.
- Community-Based Programs
- 2.
- Behavioral Nudges and Public Awareness
- 3.
- Participatory Research and Storytelling
7.3. Future Research Directions
- 1.
- Longitudinal Studies
- 2.
- Comparative Regional Studies
- 3.
- Digital Ethnography
- 4.
- Algorithmic Influence and Dark Patterns
7.4. Final Remarks
References
- Ahmed, R., and M. Hussain. 2021. Fast food consumption patterns in South Asia: A cross-national analysis. Journal of South Asian Studies 38, 2: 101–120. [Google Scholar] [CrossRef]
- Ahmed, S., and M. Karim. 2020. Fast-food consumption patterns among university students in Dhaka. Journal of Public Health Research 9, 2: 123–130. [Google Scholar]
- Ahmed, S., and M. R. Karim. 2020. Fast food consumption and obesity among university students: A cross-sectional study in Dhaka, Bangladesh. International Journal of Health Sciences 14, 3: 45–52. [Google Scholar]
- Alam, M. J., M. Rahman, and H. Begum. 2023. Obesity and lifestyle-related health conditions among university students in Bangladesh. Asian Journal of Public Health 9, 1: 55–67. [Google Scholar]
- Alam, M. S., and M. M. Rahman. 2019. Influence of social media marketing on consumer buying behavior: A case study on fast food industry in Bangladesh. Journal of Business and Management 21, 1: 35–44. [Google Scholar]
- Ball-Rokeach, S. J., and M. L. DeFleur. 1976. A dependency model of mass-media effects. Communication Research 3, 1: 3–21. [Google Scholar] [CrossRef]
- Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84, 2: 191–215. [Google Scholar] [CrossRef]
- Bangladesh Bureau of Statistics. 2022. Population and housing census 2022. Dhaka: BBS.
- Bashir, H., and R. Malik. 2021. Impact of social media advertisements on youth's eating habits: Evidence from Pakistan. Journal of Marketing and Consumer Research 67: 23–30. [Google Scholar]
- Brown, J. D. 2005. Mass media influences on sexuality. Journal of Sex Research 42, 1: 24–34. [Google Scholar] [CrossRef]
- Brownell, K. D., and K. B. Horgen. 2004. Food fight: The inside story of the food industry, America's obesity crisis, and what we can do about it. McGraw-Hill. [Google Scholar]
- Champion, V. L., and C. S. Skinner. 2008. Edited by K. Glanz, B. K. Rimer and K. Viswanath. The health belief model. In Health behavior and health education: Theory, research, and practice. Jossey-Bass: pp. 45–65. [Google Scholar]
- Chen, Y., Y. Wang, and X. Zhang. 2020. Fast-food consumption and obesity among adolescents in China. International Journal of Obesity 44, 5: 1024–1030. [Google Scholar]
- Chopra, S., and R. Arora. 2018. Social media and its impact on fast food consumption among college students. International Journal of Research in Social Sciences 8, 9: 112–120. [Google Scholar]
- Chowdhury, M. A. R., S. Islam, and M. Haque. 2022. Youth dietary practices and non-communicable disease risks in Bangladesh. International Journal of Public Health 67: 160458. [Google Scholar]
- Chowdhury, R., and M. Islam. 2020. Social media marketing and youth food choices in Bangladesh. Asian Journal of Marketing 14, 3: 45–58. [Google Scholar]
- Creswell, J. W. 2014. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 4th ed. Sage Publications. [Google Scholar]
- DataReportal. 2023. Digital 2023: Bangladesh. Available online: https://datareportal.com/reports/digital-2023-bangladesh.
- de Vries, D. A., A. M. Möller, M. S. Wieringa, A. W. Eigenraam, and K. Hamelink. 2017. Social comparison as the thief of joy: Emotional consequences of viewing strangers’ Instagram posts. Media Psychology 21, 2: 222–245. [Google Scholar] [CrossRef]
- Farzana, F. D., and M. M. Hossain. 2020. Fast food consumption and its association with overweight and obesity among university students in Bangladesh. Nutrition & Food Science 50, 5: 897–905. [Google Scholar]
- Ferdous, J., and R. Chowdhury. 2023. Influencer marketing and youth brand perception: Evidence from Dhaka-based fast-food consumers. Journal of Digital Society 5, 2: 88–104. [Google Scholar]
- Goyal, A., and N. P. Singh. 2007. Consumer perception about fast food in India: An exploratory study. British Food Journal 109, 2: 182–195. [Google Scholar] [CrossRef]
- Gupta, N., K. Goel, P. Shah, and A. Misra. 2018. Childhood obesity in developing countries: Epidemiology, determinants, and prevention. Endocrine Reviews 33, 1: 48–70. [Google Scholar] [CrossRef]
- Haque, M. M., and M. Parvin. 2019. The role of social media in influencing dietary habits of university students: A study in Bangladesh. Journal of Social Sciences and Humanities 5, 2: 89–97. [Google Scholar]
- Haque, S., and M. Nahar. 2021. Food marketing regulations in South Asia: Gaps and opportunities. International Journal of Food Policy 18, 4: 210–228. [Google Scholar]
- Hasan, M., and S. Mahmud. 2021. Fast food consumption in urban Bangladesh: Trends and health implications. South Asian Journal of Nutrition and Health 3, 1: 33–47. [Google Scholar]
- Hasan, T., S. Hossain, and M. Ahmed. 2021. Changing food habits among the youth of Dhaka: A socio-nutritional perspective. Bangladesh Journal of Urban Studies 12, 2: 112–128. [Google Scholar]
- Hossain, M. S., and T. Ahmed. 2019. Food culture and the rise of fast food in Bangladesh. Asian Journal of Contemporary Culture 4, 1: 40–55. [Google Scholar]
- Hossain, M., and A. Rahman. 2018. Cultural perceptions and fast-food consumption among Bangladeshi youth. Bangladesh Journal of Sociology 15, 1: 67–80. [Google Scholar]
- Islam, M. A., and R. Kabir. 2022. Digital marketing strategies of fast-food chains in Bangladesh. Journal of Media and Marketing Research 7, 3: 120–139. [Google Scholar]
- Islam, T., and R. Kabir. 2023. Social media advertising strategies of fast-food chains in Bangladesh. Media Asia 50, 1: 34–52. [Google Scholar]
- Jahan, S., R. Khatun, and M. Azad. 2021. Health risks associated with fast-food consumption among youth in Dhaka. Bangladesh Medical Research Council Bulletin 47, 2: 78–86. [Google Scholar]
- Johnson, L., and M. Lee. 2020. Adolescent fast-food consumption in the United States: Trends and health implications. American Journal of Clinical Nutrition 112, 3: 556–562. [Google Scholar]
- Khan, M. A., and M. Tania. 2021. Fast food consumption and its impact on health: A study on college students in Dhaka city. Asian Journal of Medical and Biological Research 7, 1: 1–6. [Google Scholar]
- Khan, N., T. Shams, and D. Roy. 2022. Dietary practices and body image among college students in Chattogram. International Journal of Nutrition Studies 5, 1: 45–60. [Google Scholar]
- Kotler, P., and K. L. Keller. 2016. Marketing management, 15th ed. Pearson Education. [Google Scholar]
- Kumar, R., and S. Singh. 2019. Urbanization and dietary transitions in India: A review. Journal of Health Management 21, 2: 157–168. [Google Scholar]
- Liu, Y., and R. A. Lopez. 2016. The impact of social media on fast food consumption: Evidence from China. Food Policy 63: 123–132. [Google Scholar] [CrossRef]
- Mahmud, A., and S. Ahmed. 2020. Social media marketing and its impact on consumer behavior in the fast food industry of Bangladesh. International Journal of Business and Technopreneurship 8, 1: 15–28. [Google Scholar]
- Malik, V. S., W. C. Willett, and F. B. Hu. 2013. Global obesity: Trends, risk factors and policy implications. Nature Reviews Endocrinology 9, 1: 13–27. [Google Scholar] [CrossRef]
- Memon, A. A., and R. Khan. 2020. The influence of social media on fast food consumption patterns among university students. Journal of Public Health Research 9, 3: 186–192. [Google Scholar] [CrossRef]
- Popkin, B. M., C. Corvalan, and L. M. Grummer-Strawn. 2020. Dynamics of the double burden of malnutrition and the changing nutrition reality. The Lancet 395, 10217: 65–74. [Google Scholar] [CrossRef]
- Rahman, A., and S. Karim. 2022. Socioeconomic factors influencing fast food preferences in Dhaka. South Asian Economics and Consumer Review 6, 2: 155–172. [Google Scholar]
- Rahman, M. S., and M. T. Islam. 2019. Fast food consumption and obesity among adolescents: A study in urban areas of Bangladesh. International Journal of Adolescent Medicine and Health 31, 4: 1–8. [Google Scholar] [CrossRef]
- Rosenstock, I. M. 1974. Historical origins of the Health Belief Model. Health Education Monographs 2, 4: 328–335. [Google Scholar] [CrossRef]
- Sarker, M. A., and M. M. Rahman. 2020. The impact of social media marketing on fast food consumption among university students in Bangladesh. Journal of Business and Management 22, 1: 55–62. [Google Scholar]
- Scribbr. 2020. Sampling methods. Available online: https://www.scribbr.com/methodology/sampling-methods/.
- Siddique, N., and A. Ahsan. 2022. Cultural globalization and fast-food branding in Bangladesh. Bangladesh Journal of Cultural Studies 10, 1: 21–36. [Google Scholar]
- Smith, L. P., S. W. Ng, and B. M. Popkin. 2013. Trends in US home food preparation and consumption: Analysis of national nutrition surveys and time use studies from 1965–1966 to 2007–2008. Nutrition Journal 12, 1: 45. [Google Scholar] [CrossRef] [PubMed]
- Statista. 2021. Social media usage in Bangladesh-Statistics & Facts. Available online: https://www.statista.com/topics/5063/social-media-usage-in-bangladesh/.
- Statista. 2023. Social media usage in Bangladesh-Statistics & Facts. Available online: https://www.statista.com/topics/5063/social-media-usage-in-bangladesh/.
- Sultana, R., and M. Hossain. 2020. Gender, body image, and food practices among university youth. Gender and Society in Bangladesh 8, 2: 76–91. [Google Scholar]
- Tareq, Abu M., and et al. 2022): December 2022. (2022) Fast-food and obesity: Status among the younger population in Bangladesh. <i>narra j</i>.: Vol. 2, No. 3. [Google Scholar] [CrossRef]
- World Health Organization (WHO). 2022. Noncommunicable diseases country profiles: Bangladesh. Available online: https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/ncd-mortality.
- World Health Organization. 2020. Obesity and overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
- World Health Organization. 2021. Noncommunicable diseases country profiles: Bangladesh. Available online: https://www.who.int/publications/i/item/ncd-country-profiles-2021.
- Zhang, Y., and Y. Kim. 2019. The impact of social media on fast food consumption: Evidence from a randomized experiment. Journal of Consumer Research 46, 5: 889–905. [Google Scholar] [CrossRef]
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