The psychological impact of COVID-19 quarantine on children, and the role of parental support and physical environment design
Bibliographic record
Abstract
Coronavirus disease 2019 is a contagious infection that caused a global lockdown and affected children who needed to stay home. There is a lack of knowledge about the role of parental stress and physical environment design on children's mental wellbeing in quarantine. We hypothesis that COVID-19 quarantine affected child mental health, and that paternal stress or support, and child physical environment including household space, colors, sunlight exposure, and natural views, impacted child mental wellbeing in the quarantine. To assess the effect of quarantine on a child's mental health, an online survey was administered globally through scientific organizations and social media. Those over 18 years old, and guardians of children were asked to participate in the survey. The survey was filled by 114 guardians from 31 countries. Descriptive statistics were used to summarize the data. Most participants experienced stress in the quarantine and reported child anxiety symptoms including focus reduction, sleeping difficulties, and appetite changes. Family fun activities and encouraging words, were mostly successful in reducing child anxiety. Reporting anxiety symptoms in children were more common in parents who had mental hardships compared to those who did not experience mental problems or had an improved mental status. Physical environment assessment showed that households with bright walls associated with fewer reports of child mental problems compared to households with neutral wall colors, and that most guardians thought that their children's living space was not sufficient to play and study. Architects can provide evidence-based recommendations for customers to support children's mental health.
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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 | 0.000 | 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 | 0.001 |
| 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".