Parents’ Attitudes Toward School Students’ Overuse of Smartphones and Its Detrimental Health Impacts: Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Parents' awareness of the risks of the overuse of smartphones (SPs) among their children and parents' attitudes toward this societal phenomenon are crucial factors to consider when investigating the causes and effects of, as well as interventions to control, this public health issue. OBJECTIVE: This study aimed to explore the awareness and attitudes of parents regarding SP overuse among their children and the detrimental impacts associated with it. METHODS: The qualitative method of semistructured face-to-face interviews was used to collect data from fathers and mothers of children aged 6-18 years from all 6 educational/governorate regions in the governmental sector in Kuwait. RESULTS: A total of 120 parents agreed to participate in the study; there were more female (75/120, 62.5%) than male (45/120, 37.5%) respondents. Almost all of the participants (118/120, 98.3%) were aware that the overuse of SPs could lead to their children becoming addicted to the devices; they were also aware that there could be side effects on their children's health (117/120, 97.5%). Although the participants, mostly the mothers, supervised their children's use of SPs closely (106/120, 88.3%), the majority could not control their children's length of time using SPs, as the children considered this a deprivation of their rights. Eye-related problems, headaches, and anger were the most common side effects experienced by the children. CONCLUSIONS: Although the parents were aware of the detrimental impacts of SP overuse, the majority could not control the length of time their children spent using the devices. It was found that strong social bonds among family members play a large role in controlling the use of SPs. A number of solutions for families and the government to combat the overuse of SPs are suggested.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".