The Child-Parent Relationship During the COVID-19 in Saudi Arabia
Bibliographic record
Abstract
Background The COVID-19 pandemic psychologically affected children and their caregivers. On the other side, parents were adapting to new daily routines for work, education, and self-care in response to the current situation. Therefore, assessing the child-parent relationship during the quarantine period is a crucial issue. Objective This study aimed to measure the impact of quarantine during the COVID-19 period on the relationship between children and their parents in the western region of Saudi Arabia, mainly in Jeddah and other nearby cities. Methods A cross-sectional survey study was conducted from April to December 2020 in the western region of Saudi Arabia, primarily Jeddah and neighboring cities, during the COVID-19 quarantine and shortly after it was stopped. A validated survey (Child-Parent Relationship Scale (CPRS)) comprising socio-demographic characteristics, conflict, and closeness of the child-parent relationship was distributed to the respondents after being translated from English to Arabic. Statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 26.0, Armonk, NY). P-values less than 0.05 were considered statistically significant. Results The study included 361 parents with a mean (SD) age of 37.30 (7.77) years old. Most parents were mothers (77.9%, N=279), married (91.3%, N=326), lived with their children (98.3%, N=354), and had three or a lesser number of children (80%, N=287). The average time spent with children was significantly higher after the quarantine (12.96 hours) compared to before the quarantine (8 hours) (p<0.001). The number of hours spent with children before the quarantine was significantly higher for mothers than fathers (8.44 vs. 6.01 hours, respectively, p<0.001). There was a significant association between the mean difference in conflict scores before and after the quarantine and the age of parents (p=0.002), the gender of parents (p<0.001), and marital status (p=0.026). There was a significant correlation between mean differences in closeness scores before and after the quarantine and the gender of parents (p=0.038). Conclusion Our findings highlight the complex and varied effects of the pandemic on parent-child relationships. The results emphasize the need for support and interventions to address increased conflict and promote positive relationships between parents and children during challenging times.
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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 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".