‘A whirlwind of everything’: The lived experience of adolescents with co‐occurring chronic pain and mental health symptoms
Bibliographic record
Abstract
BACKGROUND: Co-occurring chronic pain and mental health issues are prevalent in adolescents, costly to society and can lead to increased risk of complications throughout the lifespan. While research has largely examined paediatric chronic pain and mental health in isolation, little is known about the unique challenges faced by adolescents who experience these co-occurring symptoms. This idiographic study examined the lived experience of adolescents with co-occurring chronic pain and mental health symptoms to identify salient issues for this population. METHODS: Semi-structured telephone interviews were conducted with seven adolescents (11-19 years) self-reporting diagnoses of both pain and mental health issues for a duration of 3 months or longer. Participants were recruited from UK-based schools, pain clinics and charities. Interview transcripts were analysed using interpretative phenomenological analysis. RESULTS: Analyses generated two themes 'a whirlwind of everything' and 'putting up fronts', which describe how the experience of co-occurring chronic pain and mental health symptoms typically disrupted adolescents' ability to regulate their physical, psychological and social wellbeing and identity. Adolescents described their symptom experience as like an internal storm over which they had no control. Such experiences required adolescents to embrace a variety of symptom management strategies, with adolescents reporting deliberate efforts to minimize their symptoms to external individuals. CONCLUSION: Co-occurring pain and mental health symptoms may be experienced in similar ways to individually experienced pain or mental health symptoms, but together, the experience may be both more difficult to manage and more socially isolating. SIGNIFICANCE: Adolescents with co-occurring chronic pain and mental health symptoms describe the experience as if there was a storm inside of them disrupting their sense of physical, emotional and social wellbeing. This inner chaos interferes with their self-identity and relationships with others. Challenges articulating their experiences, and negative encounters associated with their symptoms, further impact feelings of isolation and difficulties accessing support.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| 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".