Symptom Manifestation and Impairments in College Students With ADHD
Bibliographic record
Abstract
To better understand the nature of impairment resulting from attention-deficit/hyperactivity disorder (ADHD) for students in a post-secondary education (PSE) setting, the authors analyzed the symptoms and associated impairment of 135 students with a diagnosis of ADHD who were recruited via Student Disability Services in Canadian post-secondary institutions. The authors (a) developed a novel semistructured telephone interview based on the 6-item Adult ADHD Self-Report Scale Screener-Telephone Interview With Probes (ASRS-TIPS) to elicit students' descriptions of their behavior for each symptom they endorsed, (b) administered standardized tests of executive functioning (EF) and academic fluency, and (c) obtained self-reports of grade point averages (GPAs), EF, cognitive failures, psychopathology, distress, and resilience. Qualitative analysis of the ASRS-TIPS revealed significant impairment relating to symptoms of ADHD in the PSE setting. Students reported clinically significant symptoms of ADHD, psychological distress, and impairment in EF (67%, severe range) and cognitive failure (62%, atypical range) in everyday life. By contrast, their GPAs and standardized scores of EF and academic fluency were in the average range. Standardized scores and GPAs did not capture the impairment that participants experienced in their PSE settings. The ASRS-TIPS may provide a useful tool to help document how these students' symptoms impair functioning in the PSE setting.
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 | 0.002 |
| 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 | 0.000 |
| 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".