Resilience and trajectories of depressive symptoms and suicidal ideation in the context of exposure to acne: Findings from the Lifelines Cohort Study
Bibliographic record
Abstract
This longitudinal cohort study explored resilience in adolescents with and without acne regarding development of depressive symptoms and suicidal ideation, and investigated the contribution of risk/protective factors. Participants were n = 482 13- to 17-years-olds from the Lifelines Cohort Study. Data were collected at three times (2007–2023). Two group-based trajectory models were fitted. Factors across social and built environments (family functioning, parental rearing, air quality) were accounted for using regression models. All variables except air quality used self-report measures. Two trajectories of suicidal ideation were identified: ‘Low’ ( n = 456); and ‘Early Adult Peak’ ( n = 26). Two trajectories of depressive symptoms were identified: ‘Low’ ( n = 421); and ‘Elevated’ ( n = 61). Regarding risk/protective factors, higher acne severity increased odds of membership in the ‘Early Adult Peak’ trajectory. Findings suggest that severe acne exposure in adolescence may increase risks of experiencing suicidal ideation during the transition to adulthood. Implications involve treating youth with acne, particularly severe cases, with a psychodermatological approach.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".