Car Safety Seats and Restraints for Children in Al Ahsa, Saudi Arabia: Knowledge, Attitudes, and Practices
Bibliographic record
Abstract
Background: Injuries caused by road traffic are a significant public health concern. In the 0-12-year age group, among the leading causes of death, unintentional injuries are considered the second and main cause of morbidity due to the safety of children in cars. According to statistics, approximately 4.7% of deaths in Saudi Arabia are caused by road traffic, while fatalities from road traffic do not exceed 1.7% in Australia, the United Kingdom, or the United States. Road traffic injuries killed more people in Saudi Arabia than in any other country with a high income. Aim: In this study, parents' knowledge, attitudes, and practices were evaluated regarding child safety regarding child car seats in Al Ahsa community. Methods: A cross?sectional descriptive study was done from November 10 to December 31, 2022. The data were collected using a 19-question survey. A convenience sampling of 379 samples was conducted. Results: In one-quarter of the participants, (24.8%) had the wrong answer when we asked them whether it is safer to hold a newborn baby in their arms than placing them in baby car safety seats, while (5.8%) did not know what is safe. Regarding the knowledge about the right way to put the car safety seat for children aged 2-4 years, near to one quarter (23%) answered wrong answer, while (11.1%) did not know how to fix it in the car. In relation to fixing the car safety seat for children aged below 2 years, only half the participants (54.6%) knew the right way. The mean score of knowledge was 3.37/5 with Std dev. ±1.52.in relation to practices and attitudes, (11.9%) said that the child is afraid to sit in the back seats, while (68.3%) said they do. (92.9%) of respondents believe that child safety seats are important. (14%) reported not using the seatbelt for children while (18.7%) reported using it sometimes. (67.3%) of those surveyed reported using seatbelts for all their children under the age of eight. There were (66.6%) of participants with acceptable knowledge and attitude scores, while (31.4%) had low scores. Parents' education level and their knowledge level were found to be significantly correlated. Parents' knowledge about care safety increased with the number of children, but there was no significant correlation between knowledge level and gender or number of children. Conclusion: According to the study, car safety seat noncompliance includes multiple variables that can be modified. The study could raise awareness by focusing on a major public health issue and providing outreach on child safety in cars. Residents of Al Ahsa generally had a positive attitude and good knowledge of car safety seats.
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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 | 0.000 |
| 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".