The study was led by Fatma Dinç of Bartın University, together with colleagues at Recep Tayyip Erdogan University, the University of Health Sciences in Ankara, Nottingham Trent University in the United Kingdom, and Dokuz Eylul University. Between September 4 and December 27, 2024, the team surveyed 911 volunteer students aged 13 to 18 in six high schools in the Western Black Sea Region of Türkiye. Just over half of the participants, 54.12 percent, were female, and the average age was 15.43 years. All data were self-reported, collected through validated questionnaires administered in the school setting.

Three instruments formed the backbone of the measurement. Problematic social media use was assessed with the Social Media Addiction Scale for Adolescents, a Turkish instrument designed to capture the compulsive, loss-of-control patterns that distinguish addiction-like use from ordinary high engagement. Depressive symptoms were screened with the Kutcher Adolescent Depression Scale, a brief clinical tool developed specifically for adolescent populations and previously validated against longer depression inventories. Body image was measured with the Body Image Scale, which taps how positively or negatively young people evaluate their own physical appearance. Participants also provided demographic details, including how much time they spent on social media each day.

The analytical strategy was a cross-sectional indirect-effects model, a form of mediation analysis that asks whether the statistical association between two variables flows through a third. The researchers first adjusted their models for gender, age, and daily social media use, three factors that could otherwise masquerade as psychological effects. After these adjustments, the core pattern held firm. Problematic social media use was positively associated with depression and with a more negative body image, and a more negative body image was itself associated with higher depression scores. Each link in the chain was statistically reliable on its own.

The headline result concerns the indirect pathway. The estimated indirect association between problematic social media use and depression through body image was B = 0.0363, with a 95 percent bootstrap confidence interval of 0.0229 to 0.0518 and a p value below .001. In plain language, when the researchers computed the product of the two constituent paths, the confidence interval excluded zero, meaning the mediated association was unlikely to be a fluke of sampling. Bootstrap confidence intervals, which resample the data thousands of times, are the standard tool for testing indirect effects because such products rarely follow the tidy normal distributions assumed by simpler tests.

Recognizing that a single mediation model can be fragile, the team also ran a reverse-order sensitivity analysis, treating the variables in the opposite causal arrangement. The indirect association remained significant in that configuration as well, with an estimate of B = 0.0905 and a 95 percent bootstrap confidence interval of 0.0558 to 0.1310. The fact that the pattern survived this stress test suggests the findings are not an artifact of one particular modeling choice, though it cannot settle the deeper question of causal direction, which the authors are careful to flag.

That caveat matters enormously. Because every participant was surveyed at a single point in time, the study cannot determine whether problematic social media use drives negative body image and depression, whether depressed and body-dissatisfied adolescents retreat into compulsive scrolling, or whether all three phenomena feed one another in a loop. Methodologists have warned for years that cross-sectional mediation can bias estimates of longitudinal processes, sometimes substantially, and the authors explicitly state that the cross-sectional design is unable to determine the temporal direction of the relationships. What the study delivers is a map of associations, not a demonstration of cause.

Even so, the map fits a broader theoretical landscape. Social learning and social comparison accounts of media effects propose that adolescents calibrate their self-evaluations against the curated, filtered, and often digitally manipulated bodies they encounter online. Experimental work has shown that exposure to edited Instagram images can shift body satisfaction in adolescent girls within a single session, and appearance-based social comparison has been repeatedly linked to body dissatisfaction in both boys and girls. Developmental researchers describe adolescence as a perfect storm for these effects: a period when identity is under construction, peer approval carries enormous weight, and the brain regions supporting self-concept are still maturing. A platform architecture that quantifies approval in likes and followers gives that storm a constant, measurable feed.

The depression side of the pathway is equally well documented. Systematic reviews and meta-analyses have linked both screen time and addiction-like social media use to elevated depressive symptoms in young people, with some dose-response evidence suggesting risk rises as use becomes heavier and more compulsive. Longitudinal studies have found that body dissatisfaction predicts the onset of depressive symptoms in both adolescent girls and boys, and that problematic social media use can foreshadow later depression, partly through disruptions to sleep and other restorative routines. The new study’s contribution is to knit these strands together in a single adolescent sample, showing that body image statistically carries a meaningful share of the association between the two.

For clinicians, educators, and parents, the practical implication is that interventions targeting body image may do double duty. School-based programs that teach media literacy, including the ability to recognize retouched images and algorithmically amplified appearance ideals, have shown promise in reducing body dissatisfaction. Cognitive behavioral and interpersonal approaches have evidence for preventing depression in adolescents, and combining them with appearance-focused digital literacy could address the pathway this study highlights. Screening for problematic social media use in pediatric and school nursing settings, the professional home of several of the study’s authors, may also help identify young people at risk before the loop tightens. What remains to be established, through longitudinal and experimental designs, is whether breaking the body-image link actually weakens the connection between compulsive scrolling and low mood. Until then, the study stands as a carefully quantified warning that what teenagers see in their feeds may shape how they see themselves, and how they see themselves may shape how they feel.

Subject of Research: The association between problematic social media use, body image, and depression in adolescents

Article Title: Associations among problematic social media use, body image, and depression among adolescents: a cross-sectional indirect-effects analysis

Article References: Dinç, F., Çelik, İ., Bayrak Aykan, E., Griffiths, M. D., & Bektaş, M. (2026). Associations among problematic social media use, body image, and depression among adolescents: a cross-sectional indirect-effects analysis. Current Psychology, 45(19), Article 1570. https://doi.org/10.1007/s12144-026-10134-4

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10134-4

Keywords: adolescents, problematic social media use, social media addiction, body image, depression, mediation analysis, mental health, social comparison, media psychology, cross-sectional study, Türkiye, Current Psychology