Psychosocial Impact of Acne in Adolescents: Prevalence, Contributing Factors, and Management Approaches
Bibliographic record
Abstract
Objectives: Acne is a chronic inflammatory skin disease caused by bacteria that leads to the destruction of the pilosebaceous units on the face and body. This condition, particularly prevalent among adolescents, can have negative psychosocial effects. This study examines the psychological aspects of acne and its related mental health disorders. Methods: This research was conducted as a review study, investigating the psychosocial impacts of acne on adolescents and management strategies. Using reputable scientific databases and a combination of relevant keywords, 1200 articles were identified, and after screening, 33 articles were selected for final analysis. Data from the selected articles were analyzed through narrative synthesis, and article quality was assessed using the Newcastle-Ottawa scale. Results: Acne has multiple psychological effects, including anxiety, depression, reduced self-esteem, and body image disturbances. These effects are particularly prominent in adolescents due to hormonal and social changes during puberty. Additionally, misconceptions about the causes and exacerbating factors of acne often lead to delays in receiving appropriate treatment. Conclusion: Acne is not only a skin disease but also a psychosocial challenge that requires a multifaceted management approach. Addressing the psychological dimensions of patients and providing accurate education can improve their quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".