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Record W4404426740 · doi:10.61438/sarj.v1i1.81

Psychosocial Impact of Acne in Adolescents: Prevalence, Contributing Factors, and Management Approaches

2024· article· en· W4404426740 on OpenAlexaboutno aff
Nesar Amad Ahmadi

Bibliographic record

Venueسلامت. · 2024
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialAcnePsychologyClinical psychologyMedicinePsychiatryDermatology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.315
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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