The Impact of the COVID-19 Pandemic on Youth with Chronic Pain and Their Parents: A Longitudinal Examination of Who Are Most at Risk
Bibliographic record
Abstract
OBJECTIVES: Chronic pain and mental illness in youth and parents are poised to reach new heights amidst the societal and healthcare impacts of the COVID-19 pandemic. Evidence from natural disasters (i.e., hurricanes) suggests that a degree of personal impact and individual personality may moderate the effects of high stress events, such as the COVID-19 pandemic, on mental health. METHODS: = 14.39; 12-18 years; 67.8% female) and 90 parents (86.7% female), we examined changes in youth pain interference and youth and parent mental health (depression, anxiety) from before to during the first wave of the COVID-19 pandemic, and the influence of personal impact of the pandemic (i.e., financial, familial, health, social, occupational, and educational domains) and individual personality (neuroticism, conscientiousness, extroversion). RESULTS: Overall, youth reported significantly lower pain interference and anxiety as compared to pre-pandemic; however, those more personally impacted by the pandemic reported worsening pain interference and anxiety symptoms. Overall, parents reported greater depressive symptoms as compared to pre-pandemic; however, those more personally impacted by the pandemic reported increased anxiety symptoms. Personality traits (high neuroticism, and low conscientiousness and extroversion) predicted worsened pain and mental health, and exacerbated effects of COVID-19-related personal impact on youth and parent anxiety symptoms. DISCUSSION: Identifying risk and resilience profiles in youth and parents at high risk for worsening pain and mental health may better inform matching interventions to individual need.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".