Exploring ADHD understanding and stigma: Insights from an online survey in Lebanon
Bibliographic record
Abstract
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder. Public knowledge of ADHD plays a crucial role in shaping attitudes, reducing stigma, and fostering a supportive environment for individuals with this disease. This study aimed to assess the level of knowledge and stigma of the general Lebanese population regarding ADHD and identify potential factors associated with these variables. METHODS: An online cross-sectional study was conducted between July and August 2023 among adults from all Lebanese regions. The questionnaire was self-administered, available in Arabic and English, and included a sociodemographic section and the validated tools Knowledge of Attention Deficit Disorders Scale (KADDS) and the ADHD Stigma Questionnaire (ASQ). RESULTS: A total of 647 participants were included. Most participants (n = 483 (74.7%)) lacked prior experience with individuals who have ADHD, and only 12.8% reported having good information about the condition. The participants had a mean knowledge score of 20.49 ±3.23 and a mean ADHD stigma score of 75.71 ±20.58. A significantly higher knowledge score was associated with a university level of education (B = 0.14, p < 0.001), older age (B = 0.14, p = 0.001), using the internet (B = 0.13, p = 0.001) and lecture (B = 0.09, p = 0.015) as a source of ADHD information, having a high monthly income (B = 0.13, p = 0.001), being female (B = 0.08, p = 0.030) and having a health coverage (B = 0.08, p = 0.025). Conversely, a lower knowledge was significantly associated with obtaining ADHD information from television (B = -0.13, p = 0.001) and family (B = -0.08, p = 0.043). A significantly lower score was associated with ever being diagnosed with ADHD (B = -0.18, p < 0.001), having an intermediate monthly income (B = -0.10, p = 0.005), and consuming alcohol (B = -0.11, p = 0.004), while a higher score was significantly associated with a higher KADDS total score (B = 0.12, p = 0.002) and being employed (B = 0.07, p = 0.044). CONCLUSION: The present study addressed a gap in the existing literature by examining ADHD knowledge and stigma in the Lebanese population. Surprisingly, a positive correlation between higher ADHD knowledge and increased stigma challenges common assumptions, suggesting a complex relationship between knowledge, misconceptions, and societal attitudes. The findings emphasize the need for targeted education and advocacy to improve knowledge and alleviate misconceptions and stigma within the general population.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".