The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
The association between Facebook addiction and depression: A pilot survey study among Bangladeshi students
Abstract
Social media addiction has become an area of increasing research interest over the past few years. However, there has been no previous research on social media addiction in Bangladesh. The present pilot study is the first ever in Bangladesh to examine the relationship between one specific form of social media addiction (i.e., 'Facebook addiction') and its associated predictors. This present study comprised 300 students from the University of Dhaka (Bangladesh) who participated in a survey that included questions relating to socio-demographics, health and behavioral measures, and the Bergen Facebook Addiction Scale (BFAS), and the nine-item Patient Health Questionnaire (PHQ9). The prevalence of FA was 39.7% (cutoff score was ≥18 on the BFAS). Using a regression analysis, the risk of being addicted to Facebook was predicted by being single, having less involvement in physical activities, sleep disturbance (more or less than 6 to 7 h of sleep), time spent on Facebook (≥5 h per day), and depression symptoms. Based on the sample in the present study, the risk of Facebook addiction (as assessed using the BFAS) appears to be a significant issue among Bangladeshi students, and depression to be one of the main comorbid factors.
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“studies have shown that individuals experiencing depressive symptoms often suffer from social media addiction [18–20].”
From Correlations between social media addiction and anxiety, depression, FoMO, loneliness and self-esteem among students: A systematic review and meta-analysis (2025) · cites this paper as [19]
Citations
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Global prevalence of digital addiction in general population: A systematic review and meta-analysis
Meng, S.-Q., Cheng, J.-L., Li, Y.-Y., Yang, X.-Q., Zheng, J.-W., Chang, X.-W., Shi, Y., Chen, Y., Lu, L., Sun, Y., et al. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102128 · Cited by 622
Interplay between social media use, sleep quality, and mental health in youth: a systematic review
Alonzo, R., Hussain, J., Stranges, S., & Anderson, K. K. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2020.101414 · Cited by 456
A meta-analysis of the problematic social media use and mental health
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Problematic Social Media Use and Its Relationship with Depression or Anxiety: A Systematic Review
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Mental Health Problems and Associated Predictors Among Bangladeshi Students
Mamun, M. A., Hossain, M. S., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00144-8 · Cited by 155
“Previously, MHPs were suggested as being the mediators of committing suicide and studies have shown that 90% of suicide victims have at least one mental disorder (Arafat et al. 2018a, b; Arafat and Mamun 2019; Shah et al. 2017; ul Haq et al. 2018).”
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Metadata
- Authors
- Mamun, M. A. A., & Griffiths, M. D.
- Affiliations
- Jahangirnagar University (BD)
- Nottingham Trent University (GB)
- Corresponding author
- Mamun, M. A. Al
- Venue
- Psychiatry Research
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 271
- Pages
- 628-633
- ISSN
- 0165-1781 (ISSN-L)
- OpenAlex
- W2903722964
- Cited by
- 175
- References
- 52
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 15 · 2023: 26 · 2022: 20 · 2021: 40 · 2020: 28 · 2019: 12
- FWCI
- 42.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatry Research (publishedVersion)
- PubMed (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Communication › Digital Media and Philosophy
- Keywords
- Facebook addiction, social media addiction, depression, Bergen Facebook Addiction Scale, PHQ-9, university students, sleep disorders, physical activity, predictors of addiction, Bangladesh
- MeSH terms
- Bangladesh, Depression, Depressive Disorder, Female, Humans, Male, Pilot Projects, Students, Comorbidity, Prevalence, Behavior, Addictive, Young Adult, Social Media
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