The impact of the COVID-19 pandemic on inequalities in lifestyle behaviours and mental health and wellbeing of elementary school children in northern Canada
Bibliographic record
Abstract
Objectives: The COVID-19 pandemic has negatively affected children's lifestyle behaviours and mental health and wellbeing, and concerns have been raised that COVID-19 has also increased health inequalities. No study to date has quantified the impact of COVID-19 on health inequalities among children. We compared pre-pandemic vs. post-lockdown inequalities in lifestyle behaviours and mental health and wellbeing among children living in rural and remote northern communities. Methods: We surveyed 473 grade 4-6 students (9-12 years of age) from 11 schools in rural and remote communities in northern Canada in 2018 (pre-pandemic), and 443 grade 4-6 students from the same schools in 2020 (post-lockdown). The surveys included questions on sedentary behaviours, physical activity, dietary intake, and mental health and wellbeing. We measured inequality in these behaviors using the Gini coefficient, a unitless measure ranging from 0 to 1 with a higher value indicating greater inequality. We used temporal changes (2020 vs. 2018) in Gini coefficients to assess the impact of COVID-19 on inequalities in lifestyle behaviours and mental health and wellbeing separately among girls and boys. Results: Inequalities in all examined lifestyle behaviours increased between 2018 and 2020. Inequalities in watching TV, playing video games, and using a cell phone increased among girls, while inequalities in playing video games, using computers and tablets, and consumption of sugar, salt, saturated fat and total fat increased among boys. Changes in inequalities in mental health and wellbeing were small and not statistically significant. Conclusion: The findings suggest that the COVID-19 pandemic has exacerbated inequalities in lifestyle behaviours among children living in rural and remote northern communities. If not addressed, these differences may translate into exacerbated inequalities in future health. The findings further suggest that school health programs can help mitigate the negative impact of the pandemic on lifestyle behaviours and mental health and wellbeing.
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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 | 0.001 | 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 | 0.000 |
| 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".