The Relationship Between Family Dynamics and Help-Seeking and Disclosure of Adolescent Self-Harm and Suicidality: A Population-Representative Study: Relation entre dynamique familiale et recherche d’aide, et dévoilement des actes d’automutilation et de la suicidalité chez les adolescents : étude représentative de la population
Bibliographic record
Abstract
BackgroundFew studies have explored the potential for family dynamics to hinder or promote help-seeking and disclosure behaviours among adolescents who self-harm or experience suicidality. We sought to examine whether family dynamics may influence self-harm-related disclosure to parents or other family members and online help-seeking.MethodsWe identified youths, 14-17 years, in the 2014 Ontario Child Health Study (OCHS) who self-reported past-year suicidal ideation (with or without a suicide plan or past suicide attempt[s]) and/or non-suicidal self-harm. The OCHS is a provincially representative, cross-sectional survey. The person most knowledgeable about the adolescent, usually the mother, reported family dynamics: family dysfunction and positive and negative parenting practices. We used logistic regression to generate adjusted odds ratios.ResultsA total of 359 adolescents positively endorsed past-year suicidal ideation and/or non-suicidal self-harm. Disclosure and help-seeking were common (≥67.3% and ≥25.6%, respectively). Adolescents experiencing suicidal ideation and greater family dysfunction were more likely to share their suicidal thoughts with non-family compared to not telling anyone (OR = 1.09, 95% CI: 1.01 to 1.18) and were less likely to tell their parents or other family members about their suicidal thoughts when compared to non-family such as teachers, partners, or friends (OR = 0.82, 95% CI: 0.71 to 0.94). Positive parenting was not associated with any form of disclosure or online help-seeking for non-suicidal self-harm or suicidal ideation. As adolescent exposure to negative parenting increased, so did the likelihood that they would seek help online for their suicidal thoughts (OR = 1.22, 95% CI: 1.08 to 1.37). Sensitivity analyses replicated or were very similar to findings from the main models.ConclusionWe found that negative family dynamics were related to reduced sharing of suicidal thoughts with parents or other family members and greater online help-seeking. Our findings suggest that the importance of negative family dynamics to disclosure and support-seeking for adolescent suicidality may be under-recognized.
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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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".