Suicide Attempts in Children Aged 10–14 Years During the First Year of the COVID-19 Pandemic
Bibliographic record
Abstract
PURPOSE: To determine if suicide attempts increased during the first year of the pandemic among young adolescents in Quebec, Canada. METHODS: We analyzed children aged 10-14 years who were hospitalized for a suicide attempt between January 2000 and March 2021. We calculated age-specific and sex-specific suicide attempt rates and the proportion of hospitalizations for suicide attempts before and during the pandemic and compared rates with patients aged 15-19 years. We used interrupted time series regression to measure changes in rates during the first (March 2020 to August 2020) and second (September 2020 to March 2021) waves and difference-in-difference analysis to determine if the pandemic had a greater impact on girls than boys. RESULTS: Suicide attempt rates decreased for children aged 10-14 years during the first wave. However, rates increased sharply during the second wave for girls, without changing for boys. Girls aged 10-14 years had an excess of 5.1 suicide attempts per 10,000 at the start of wave 2, with rates continuing to increase by 0.6 per 10,000 every month thereafter. Compared with the prepandemic period, the increase in the proportion of girls aged 10-14 years hospitalized for a suicide attempt was 2.2% greater than that of boys during wave 2. The pattern seen in girls aged 10-14 years was not present in girls aged 15-19 years. DISCUSSION: Hospitalizations for suicide attempts among girls aged 10-14 years increased considerably during the second wave of the pandemic, compared with boys and older girls. Young adolescent girls may benefit from screening and targeted interventions to address suicidal behavior.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".