Prévalence et Facteurs Associés aux Symptômes Dépressifs chez les Pères d’enfant 6 mois-17 ans au Québec
Bibliographic record
Abstract
OBJECTIVES: In fathers, depression symptoms experienced during pregnancy and after childbirth represent a depression risk factor during the child first months. Since depression can have a huge impact on their subsequent involvement with the child, this issue is worrisome and requires consideration. Until now, however, few studies have dealt with paternal depression and its determinants beyond the perinatal period. METHOD: This study uses data from a representative provincial survey conducted with 1342 fathers of children aged 6 months to 17 years. It documents the prevalence of moderate and severe depression symptoms with the CES-D scale as well as associated factors. RESULTS: Findings show prevalence rates ranging from 3% to 10% depending on depression symptom severity and children age. Associated factors include problematic use of alcohol, no employment, stress related to balancing work and family, domestic violence environment, and low revenue and social support. CONCLUSION: These results are interpreted in light of the role and involvement fathers keep in their child's life. They also stress the importance of identifying depression symptoms in this population beyond the perinatal period while monitoring the symptom intensity.
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 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".