AWARENESS OF SAUDI POPULATION IN MADINA REGION ABOUT ATTENTION DEFICIT HYPER-ACTIVE DISORDER (ADHD) IN CHILDREN.
Bibliographic record
Abstract
Introduction: Attention Deficit Hyper-Active Disorder (ADHD) is one of the most common neurobehavioral developmental disorders among children.The prevalence of ADHD in all Arabic countries in general was ranging from 1.3% to 16% compared to 4-8% in US.While in Korea it was between 7.6% to 9.5%.However, the prevalence was reached 20 % in India.Methodology: A cross sectional study has been set in Saudi Arabia, Madina Region.The study population included both genders from 15 years and above, people living outside Madina and those whom are in the medical field have been excluded.Data were analyzed by the SPSS version 20.Results: .25.1 % knew the disease through their experience with an ADHD patient known to them.14.7% read about ADHD through medical websites, 7,3% and 7.6% knew about it from newspapers and social media, respectively.71.3%, believed that ADHD is a real disease, 22 % believe that it is a behavioral disorder, 16 % consider it as a neurological disease while 18 % considered it as a psychiatric disorder.On the other hand, 31 .8% believe that ADHD is a mixed disorder and only 11 % did not know anything about the nature of the disease., 32.2 % believe that it is a genetic disease, 23.1% blame nutritional habits, 19.3% believe that preservatives and dye contents of certain types of the food are the main cause, 4.9 % considered insecticides the main cause ,1.1% connected it to smoking and the rest believe that it is multi-cause disease.5.6% of respondents believe that medical management is the main modality of treatment, 27.1% think that behavioral therapy is main treatment option and 59.8% suggested both modalities and the rest considered it as not a treatable disease.Conclusion and Recommendations: Madina society is in a tremendous need to increase their awareness about ADHD in a simple layman language.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".