Early childhood risk factors for later onset of pediatric chronic pain: a multi-method longitudinal study
Bibliographic record
Abstract
BACKGROUND: Pediatric chronic pain (i.e., pain lasting ≥ 3 months) is prevalent, disabling, and costly. It spikes in adolescence, interrupts psychosocial development and functioning, and often co-occurs with mental health problems. Chronic pain often begins spontaneously without prior injuries and/or other disorders. Prospective longitudinal cohort studies following children from early childhood, prior to chronic pain onset, are needed to examine contributing factors, such as early pain experiences and mental health. Using data from a longitudinal community pregnancy cohort (All Our Families; AOF), the present study examined the associations between early developmental risk factors, including early childhood pain experiences and mental health symptoms, and the onset of pediatric chronic pain at ages 8 and 11 years. METHODS: Available longitudinal AOF data from child age 4 months, as well as 1, 2, 3, 5, 8, and 11 years, were used. Mothers reported their child's pain experiences (e.g., hospitalizations, vaccinations, gut problems) at each timepoint from 4 months to 8 years, child chronic pain at age 8, and child mental health symptoms at ages 5 and 8 years. Children reported their chronic pain frequency and interference at age 11. Adaptive least absolute shrinkage and selection operator (LASSO) regressions were used to select predictor variables. Complete case analyses were complemented by multiple imputation using chained equation (MICE) models. RESULTS: Gut problems, emergency room visits, frequent pain complaints, and headaches at age 5 or earlier, as well as female sex, were associated with increased risk of maternal reported child chronic pain at age 8. Maternal reported chronic pain at age 8 was associated with higher levels of child-reported pain frequency and pain interferences at age 11. Boys self-reported lower levels of pain interference at age 11. CONCLUSIONS: Some, but not all, painful experiences (e.g., gut problems, ER visits, pain complaints) in early life contribute to pediatric chronic pain onset and should be considered for screening and early intervention.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".