Despite an increased interest in Facebook addiction (FA) research over the past 10 years, few data are available in Cameroon. This study aimed to determine the prevalence and determinants of FA, and its relationship to depression among students in a government university.
Methods
A cross-sectional study was conducted in 9 institutions of the University of Douala. A total of 1133 students completed a self-administered survey including sociodemographic data, Facebook use patterns, Bergen Facebook Addiction Scale (BFAS), and Beck Depression Inventory II (BDI II). BFAS >18 was defined as FA, depression was defined as a BDI II â„10. Data were analyzed using SPSSÂź 28.0.
Results
The mean age was 22.5 ± 3.7 years with 53.5% of female. Prevalence of FA and depression were 14.5% and 52.1% respectively. Independent Predictors of FA were multiple daily logins, virtual friends <200, and daily use â„4 hours. Female students, medical school, teachersâ training college, and PhD/equivalent were significantly associated to depression. FA was positively correlated to depression severity (r = 0.26; Ï = 0.25; P < 0.001).
Conclusion
Facebook addiction is common, and often associated with depression among students at the University of Douala, highlighting the need for mental health interventions.
GriffithsMA. âcomponentsâ model of addiction within a biopsychosocial framework. J Subst Use. 2005;10(4):191-197.
2.
RajeshTRangaiahDB. Facebook addiction and personality. Heliyon. 2020;6(1):e03184.
3.
IovuMBRuncanRRuncanPLAndrioniF. Association between Facebook use, depression and family satisfaction: a cross-sectional study of Romanian youth. Iran J Public Health. 2020;49(11):2111-2119.
ElphinstonRANollerP. Time to face it! Facebook intrusion and the implications for romantic jealousy and relationship satisfaction. Cyberpsychol, Behav Soc Netw. 2011;14(11):631-635.
RajeshTRangaiahB. Relationship between personality traits and Facebook addiction: a meta-analysis. Heliyon. 2022;8(8):e10315.
8.
SamuelTBWoriaAAInnocentAE, et al.Social network misuse in black African subjects: results of the application of the Facebook addiction scale to 1000 students in Ivory Coast. Am J Psychiatr Neurosci. 2021;9(4):175-180.
PetryNMZajacKGinleyMK. Behavioral addictions as mental disorders: to be or not to be?Annu Rev Clin Psychol. 2018;14:399-423.
11.
PrimiCFioravantiGCasaleSDonatiMA. Measuring problematic Facebook use among adolescents and young adults with the bergen Facebook addiction scale: a psychometric analysis by applying item response theory. Int J Environ Res Publ Health. 2021;18(6):2979.
12.
Jackson-KokuG. Beck depression inventory. Occup Med (Oxford, England). 2016;66(2):174-175. doi:10.1093/occmed/kqv087
13.
JingZYangWLeiZJunmeiWHuiLTianminZ. Correlations between social media addiction and anxiety, depression, FoMO, loneliness and self-esteem among students: a systematic review and meta-analysis. PLoS One. 2025;20(9):e0329466. doi:10.1371/journal.pone.0329466
14.
MeynadierJMalouffJMSchutteNSLoiNMGriffithsMD. Relationships between social media addiction, social media use metacognitions, depression, anxiety, fear of missing out, loneliness, and mindfulness. Int J Ment Health Addiction. 2025. doi:10.1007/s11469-024-01440-8
15.
ChengCLauYCChanLLukJW. Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 2021;117:106845. doi:10.1016/j.addbeh.2021.106845. Epub 2021 Jan 26. PMID: 33550200.
16.
KassaYCuevasRCuevasĂ. A large-scale analysis of Facebookâs user-base and user engagement growth. IEEE Access. 2018;6:1. doi:10.1109/ACCESS.2018.2885458
17.
BaiXYangL. Digital literacy's impact on digital village participation in rural left-behind women through serial mediation of political trust and self-efficacy. Sci Rep. 2025;15(1):34226. doi:10.1038/s41598-025-16093-3
18.
FolaranmiAA. Survey of Facebook addiction level among selected Nigerian university undergraduates. New Media Mass Commun. 2013;10:70-80.
19.
JorgensonAGHsiaoRCJYenCF. Internet addiction and other behavioral addictions. Child Adolesc Psychiatr Clin N Am. 2016;25(3):509-520. doi:10.1016/j.chc.2016.03.004
20.
KocMGulyagciS. Facebook addiction among Turkish college students: the role of psychological health, demographic, and usage characteristics. Cyberpsychol, Behav Soc Netw. 2013;16(4):279-284.
21.
KumarMMondalA. A study on internet addiction and its relation to psychopathology and self-esteem among college students. Ind Psychiatry J. 2018;27(1):61-66.
22.
PatelDHanumanpratap Singh KshatriAKommuruSJavvajiCK. A narrative review of digital addiction and health: a new challenge for modern medicine. Cureus. 2025;17(12):e100491. doi:10.7759/cureus.100491
23.
Substance Abuse and Mental Health Services Administration (US); Office of the Surgeon General (US). Facing Addiction in America: The Surgeon General's Report on Alcohol, Drugs, and Health [Internet]. Washington (DC): US Department of Health and Human Services; 2016. Chapter 2, the neurobiology of substance use, misuse, and addiction. Available from. https://www.ncbi.nlm.nih.gov/books/NBK424849/
24.
VolkowNDMichaelidesMBalerR. The neuroscience of drug reward and addiction. Physiol Rev. 2019;99(4):2115-2140. doi:10.1152/physrev.00014.2018
KoobGFVolkowND. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry. 2016;3(8):760-773. doi:10.1016/S2215-0366(16)00104-8
27.
JafarkarimiHSimASaadatdoostRHeeJ. Facebook addiction among Malaysian students. Int J Inf Educ Technol. 2016;6:465-469.
28.
NgasaSNSamaCBDzekemBS, et al.Prevalence and factors associated with depression among medical students in Cameroon: a cross-sectional study. BMC Psychiatry. 2017;17(1):216.
29.
NobleRE. Depression in women. Metabolism. 2005;54(5 Suppl 1):49-52.
30.
ZimmermanM. The value and limitations of self-administered questionnaires in clinical practice and epidemiological studies. World Psychiatry. 2024;23(2):210-212. doi:10.1002/wps.21191
31.
ThombsBDKwakkenbosLLevisAWBenedettiA. Addressing overestimation of the prevalence of depression based on self-report screening questionnaires. CMAJ (Can Med Assoc J). 2018;190(2):E44-E49. doi:10.1503/cmaj.170691
32.
PedrelliPBorsariBLipsonSKHeinzeJEEisenbergD. Gender differences in the relationships among major depressive disorder, heavy alcohol use, and mental health treatment engagement among college students. J Stud Alcohol Drugs. 2016;77(4):620-628. doi:10.15288/jsad.2016.77.620
33.
ZagniESimoniLColomboD. Sex and gender differences in central nervous system-related disorders. Neurosci J;2016:2827090. doi:10.1155/2016/2827090. Epub 2016 May 30. PMID: 27314003; PMCID: PMC4904110.
34.
HowardLMWilsonCAReillyTJ, et al.Women's reproductive mental health: currently available evidence and future directions for research, clinical practice and health policy. World Psychiatry. 2025;24(2):196-215. doi:10.1002/wps.21305
35.
SurajSSUmarBIGajidaAUUmarMU. Prevalence and factors associated with depression among medical students in Nigeria. Niger Postgrad Med J. 2021;28(3):198-203.
36.
PuthranRZhangMWBTamWWHoRC. Prevalence of depression amongst medical students: a meta-analysis. Med Educ. 2016;50(4):456-468.
37.
MoirFYielderJSansonJChenY. Depression in medical students: current insights. Adv Med Educ Pract. 2018;9:323-333.
38.
AgyapongBObuobi-DonkorGBurbackLWeiY. Stress, burnout, anxiety and depression among teachers: a scoping review. Int J Environ Res Publ Health. 2022;19(17):10706.
LiXLiH. Exploring the relationship between problematic social networking sites use and depression: a longitudinal study. PLoS One. 2024;19(11):e0313362. doi:10.1371/journal.pone.0313362
41.
GugushviliNTĂ€htKRuiterRACVerduynP. Facebook use intensity and depressive symptoms: a moderated mediation model of problematic Facebook use, age, neuroticism, and extraversion. BMC Psychol. 2022;10(1):279.
42.
RussoSJNestlerEJ. The brain reward circuitry in mood disorders. Nat Rev Neurosci. 2013;14(9):609-625. doi:10.1038/nrn3381. Epub 2013 Aug 14. Erratum in: Nat Rev Neurosci. 2013 Oct;14(10):736.
