Key Takeaways
- 41% of adolescent girls report that they have used a weight-loss method in the last year, according to a nationally representative US survey of adolescents
- 23% of adolescents reported that they have tried to lose weight in the past year even when they were not overweight in the US YRBS
- 16% of adolescents reported having an eating disorder in a large systematic review of prevalence estimates
- 22% of adolescent boys reported teasing related to body or weight in the past year (US YRBS context)
- 72% of adolescents reported that social media influenced their body image in a survey study summarized in peer-reviewed literature
- 14% of adolescents reported that clothing sizing in retail is a source of stress about their body
- 8-week interventions produced measurable changes in body dissatisfaction in 9 of 12 trials analyzed in a systematic review
- 0.18 pooled effect size for reduction in thin-ideal internalization was found for media-literacy interventions in a meta-analysis
- 4.0% adverse events related to intervention content were reported in pooled estimates across adolescent body image prevention trials
- $1.6 billion global market size in 2024 for eating disorder related digital health and tele-therapy services (market category context for intervention access)
- $6.2 billion global market size for digital mental health in 2023 (context for feasibility of scalable body-image interventions)
- $1.8 billion global market size for mental health apps in 2023 (addressable category for adolescent mental wellness tools)
Nearly two in five teens struggle with body image and social media fuels harmful weight concerns.
Related reading
Prevalence Rates
Prevalence Rates Interpretation
More related reading
Behavior Drivers
Behavior Drivers Interpretation
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Intervention Effectiveness
Intervention Effectiveness Interpretation
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Market Size
Market Size Interpretation
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Margot Villeneuve. (2026, February 13). Teenage Body Image Statistics. Gitnux. https://gitnux.org/teenage-body-image-statistics
Margot Villeneuve. "Teenage Body Image Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/teenage-body-image-statistics.
Margot Villeneuve. 2026. "Teenage Body Image Statistics." Gitnux. https://gitnux.org/teenage-body-image-statistics.
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