Prevalence of Anxiety and Depression in Pakistani Patients With Acne Vulgaris
Bibliographic record
Abstract
Introduction Adolescents with acne vulgaris, a prevalent dermatological condition, have a significant prevalence of anxiety and depression, which can have negative effects on their quality of life. Objectives The purpose of this study was to find out the prevalence of anxiety and depression in Pakistani patients with acne vulgaris. Methods This six-month cohort study was conducted at Chaudhry Muhammad Akram Teaching and Research Hospital in Lahore, Pakistan, involving 250 acne vulgaris patients (aged 16-40) and 200 age- and sex-matched controls. Exclusion criteria included certain medical and psychological conditions. The Hospital Anxiety and Depression Scale (HADS) and socio-demographic questionnaires were utilized for data collection. The severity of the acne was evaluated with the help of the Global Acne Grading System (GAGS). The final data obtained were analyzed with IBM SPSS Statistics for Windows, Version 27.0 (Released 2020; IBM Corp., Armonk, New York, United States), employing the Kruskal-Wallis test, chi-squared test, and independent t-test. Results Among 450 participants, 302 (67.1%) were female, with a majority aged 23-33 years old. A significant difference in marital status was found, with more acne cases being single (174, 69.6%) compared to controls (107, 53.5%; p<0.001). Most acne cases (154, 61.6%) had moderate severity. The mean anxiety HADS score was higher in the case group (17.62±4.85) compared to controls (6.74±4.40; p=0.027), while depression HADS scores did not significantly differ (p=0.643). Acne severity did not significantly correlate with anxiety or depression HADS scores. Conclusion Increased anxiety in individuals with acne vulgaris, particularly among females, was seen, while depression levels were similar between cases and controls.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".