Resilience of adolescents and teenagers with self-limited and genetic-generalized epilepsy during the COVID-19 pandemic
Bibliographic record
Abstract
The study-objective was to determine the emotional impact of the COVID-19 pandemic on children with self-limited and genetic-generalized epilepsy. Patients completed the Children’s Depression Inventory-2 (CDI-2) and Multidimensional Anxiety Scale for Children 2nd Edition (MASC-2) questionnaires before and during the pandemic. Via tele-visits, a pandemic-lifestyle survey and Obsession with COVID-19 Scale (OCS) was administered. Fifty subjects with a mean (SD) age of 14.44 (2.97) years and 4.85 (2.97) years of epilepsy were included. Overall, mood (62%), anxiety (61%), sleep (68%) and seizure frequency (88%) were unchanged/improved during the pandemic. There was no significant difference in pre-COVID-19 and during COVID-19 CDI-2 and MASC-2 total T-scores. In 24% with a worsening CDI-2 total T-score, associations included higher total OCS score (p = 0.001), poor sleep (p = 0.013) and pre-existing psychiatric history (p = 0.0450). In 28% with a worsening MASC-2 total T-score, associations included less exercise during the pandemic (p = 0.028) and lower maternal education history (p = 0.022). On OCS, 6% were in the dysfunctional range. This cohort demonstrated emotional resilience during the COVID-19 pandemic. However, screening is important, as a subgroup experienced disruptive changes, possibly related to modifiable factors, such as sleep and exercise. To determine the impact of the COVID-19 pandemic on children with epilepsy (CWE), 50 CWE completed a pandemic-lifestyle survey. Questionnaires for anxiety and depression completed before and during the COVID-19 pandemic were also compared. Overall, there was no worsening of seizures, anxiety, or depression during the pandemic. During the pandemic, 24% had more depressive symptoms (associations: poor sleep and psychiatric history) and 28% had more anxiety (associations: less exercise and lower maternal education).This cohort showed emotional resilience during the COVID-19 pandemic. Regular screening is important, as some CWE experienced disruptive changes, related to modifiable-factors, such as sleep and exercise.
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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".