MOOD STATES AND THEIR CORRELATES IN CHILDREN AND YOUTH IN 2021-2022 ACADEMIC YEAR
Bibliographic record
Abstract
Background: The COVID-19 pandemic has exposed children to unprecedented challenges and disruptions. The psychological aftermath of children and youth became a significant source of concerns amid the pandemic. However, the evidence regarding Saskatchewan’s children and youth are very limited. This study aimed to examine the point estimates and the prevalence of eight mood symptoms via CRISIS scale and determining the associated factors among children and youth in Saskatchewan two years into the COVID-19 pandemic. Additionally, potential mediator role of coping ability between risk factors and current mood states was examined. Method: We used 563 data from the “See Us, Hear Us (SUHU) 2.0,”, a cross-sectional study of Saskatchewan children aged 8-18 years and their parents/caregivers. Data were collected between May-July 2022. The dependent variable, current mood state, was measured by Coronavirus Health Impact Survey (CRISIS) scale. The independent variables include sociodemographics, behavioural factors, household conditions, and coping ability. Multiple linear regression analysis and mediation analysis using generalized structural equation modelling were conducted. Representativeness of the sample was ensured by using sampling weights and data missingness was addressed through imputation. Results: The participants reported a relatively mild negative moods, with a mean score of 1.43 on a scale of 0 to 4, where 0 represents no negative moods and 4 represents severe negative moods. The moods score was 0.27 units higher among children between the ages of 16 and 18 compared to those aged 8-11. Individuals who did not identify strictly as either boys or girls experienced 0.78 units higher mood score compared to boys. Hybrid learning modalities (online and in-person) (β=0.24), disrupted extracurricular activities (β=0.18), and increased screen time (β=0.34) significantly worsen moods. The ethnic minority groups (BIPOC) living in mid-sized cities/towns experienced more negative moods compared to Whites residing in cities (Saskatoon/Regina). Coping ability significantly mediates the relationship between extracurricular activities and mood states in children and youth. Conclusion: The findings from our study emphasize the significance of tailored interventions, recognizing the diverse needs of specific age groups, gender identities, and ethnicities. By acknowledging these factors this study also informs the healthcare policies and mental health care providers to ensure proper prioritization during designing and implementing the mental health services.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".