standard · Zenodo (CERN European Organization for Nuclear Research)
Using Structural Equation Modelling (SEM), this study investigated peer acceptance, peer pressure, childhood neglect, cyber-stalking, and depression as predictors of social media dependence among in-school adolescents in Ibadan, Nigeria. A multi-stage sampling approach was employed to sample 508 adolescents from six randomly selected local government areas. Standardised instruments, including the Social Media Disorder Scale, Childhood Trauma Questionnaire, and PHQ-9, were administered. The results revealed that peer pressure (β = .23, p < .001), childhood neglect (β = .17, p < .001), cyber-stalking (β = .25, p < .001), and depression (β =.26, p < .001) significantly and positively predicted social media dependence, while peer acceptance (β = –.16, p = .001) had a significant negative effect. Depression significantly mediated the relationships between the predictor variables and social media dependence, with all indirect paths statistically significant (e.g., peer pressure: β = .09, childhood neglect: β = .08, cyber-stalking: β = .06, peer acceptance: β = –.07; all p < .01). Moreover, peer acceptance moderated the relationship between peer pressure (β = -0.12; p = 0.001), childhood neglect (β = -0.09; p = 0.011), and cyber-stalking (β = -0.10; p = 0.006), indicating a buffering relationship. The structural model goodness-of-fit indices indicated good fit -χ²/df = 2.31, CFI = 0.957, TLI = 0.944, RMSEA = 0.051, SRMR = 0.042 -and accounted for 49% variance in social media dependence (R² = 0.491). This research demonstrates the intersection of social variables, emotion, and digital behaviours that affect adolescent behaviours, and underscores the need for targeted interventions promoting peer support and emotional regulation.
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DOI: 10.5281/zenodo.18782148
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