Social factors associated with self-reported changes in mental health symptoms among youth in the COVID-19 pandemic: a cross-sectional survey
Bibliographic record
Abstract
BACKGROUND: Children and youth experienced marked impacts on day-to-day life in the COVID-19 pandemic that were associated with poorer familial and friend relationships, and greater mental health challenges. Few studies provide self-report data on mental health symptoms from children and youth themselves. We sought to examine the associations between social factors and child and youth self-reported symptoms of worsened mood, anxiety, and irritability during the COVID-19 pandemic. METHODS: A nationally representative cross-sectional survey was administered online to collect self-report data across 10 Canadian provinces among children (11-14 years) and youth (15-18 years), April-May 2022. Age-appropriate questions were based on The Partnership for Maternal, Newborn & Child Health and the World Health Organization of the United Nations H6 + Technical Working Group on Adolescent Health and Well-Being consensus framework and the Coronavirus Health and Impact Survey. Associations between a priori defined social factors (e.g., relationship quality) and respondent self-reported mental health were evaluated using ordinal logistic regression models adjusted for age, sex, and geographic location. RESULTS: We analyzed data from 483 (51.7%) children (11-14 years; 227, 47.0% girls) and 450 (48.3%) youth (15-18 years; 204, 45.3% girls). The parents of most children and youth had resided in Canada for over 20 years (678, 72.7%). Over one-quarter of children and youth self-identified as Black, Indigenous, or a Person of Color (134, 27.7%; 134, 29.8%, respectively). Over one-third of children and youth self-reported symptoms of worsened mood (149, 30.9%; 125, 27.8%, respectively), anxiety (181, 37.5%; 167, 37.1%, respectively), or irritability (160, 33.1%; 160, 35.6%, respectively) during, compared to pre-pandemic. In descending order of odds ratios (OR), for children and youth, worsened familial relationships (during compared to pre-pandemic) was associated with the self-reported symptoms of worsened mood (child: OR 4.22, 95%CI 2.51-6.88; youth: OR 6.65 95%CI 3.98-11.23), anxiety (child: OR 4.24, 95%CI2.69-6.75; youth: OR 5.28, 95%CI 3.17-8.86), and irritability (child: OR 2.83, 95%CI 1.76-4.56; youth: OR 6.46, 95%CI 3.88-10.90). CONCLUSIONS: Self-reported data from a nationally representative sample of children and youth suggest strong associations between social factors and mental health during the COVID-19 pandemic. Interventions targeting child and youth familial relationships may positively impact child and youth mental health.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".