MENTAL HEALTH STATUS

Background: Social media addiction is a behavioural problem characterised by excessive, poorly controlled use of social media platforms that interferes with daily functioning and is associated with depression, anxiety, stress and reduced productivity among university students. It is common in young adults and is linked to long daily usage, night-time use and other behavioural patterns that worsen mental-health outcomes. Objective: To assess the knowledge, attitude, prevalence, patterns of social media addiction and its association with the mental health status of undergraduates in the University of Benin, Benin City, Edo State, Nigeria. Subjects and methods: A descriptive cross-sectional study was carried out among 548 undergraduates of the University of Benin selected using a multi-stage (proportionate stratified + systematic) sampling technique. Data were collected with a pre-tested, self- administered questionnaire (sociodemographics, knowledge and attitude sections) and standardised scales, the Bergen Social Media Addiction Scale (BSMAS) for addiction risk and the DASS-21 for depression, anxiety and stress. Data were presented in frequency tables and analysed using bivariate (χ²) tests and multivariable logistic regression; statistical significance was set at p < 0.05. Results: The mean age of respondents was 21.5 ± 2.9 years and 306 (55.8%) were females. Awareness of social media addiction was high (519, 94.7%). Majority had good knowledge of social media addiction (395, 76.1%) and a positive attitude towards it (396, 72.1%). By BSMAS grading, 127 (23.2%) were low-risk, 349 (63.7%) moderate-risk and 72 (13.1%) high-risk for social media addiction (social media addiction present = 72/548, 13.1%). On DASS-21 grading, 136 (24.8%) had d pression, 163 (29.7%) had anxiety, and 44 (8.0%) had stress; overall 200 (36.5%) were classified as having poor mental health while 348 (63.5%) xii had good mental health. Respondents with a positive attitude were more likely to have poor mental health (OR = 2.30, 95% CI = 1.382–3.734, p = 0.001) and respondents with social media addiction were substantially more likely to have poor mental health than those without (OR = 10.30, 95% CI = 5.337–19.914, p < 0.001). Social media addiction was also a strong predictor of specific outcomes anxiety (OR = 4.121, 95% CI = 2.324–7.305, p < 0.001) and stress (OR = 12.669, 95% CI = 5.386–29.804, p < 0.001). Other factors (monthly allowance, knowledge level, average daily hours and time of day of use) were associated with addiction risk and mental-health outcomes in bivariate and multivariable analyses. Conclusion: Awareness and knowledge of social media addiction were high among UNIBEN undergraduates, but about one in eight students met high-risk criteria for social media addiction and over one-third had poor overall mental health. Social media addiction together with attitude, knowledge and usage patterns was a strong predictor of poorer mental- health outcomes (depression, anxiety and stress). Interventions to improve digital-wellness (education on healthy use, time-management, sleep hygiene and targeted counselling) are recommended.