Headache in schoolchildren: Association with other pain, family history and psychosocial factors
Bibliographic record
Abstract
Limited information exist about associations between different headache types and other pains, family history of pain, and psychosocial factors among children from the general population suffering from less severe headache. We interviewed 130 schoolchildren together with a parent to find out whether such factors differ between children with mainly infrequent and moderate migraine or tension-type headache as compared to those without primary headache. Children with headache, especially those with migraine reported other pains and physical symptoms more frequently than children without primary headache. Coherently, parents of children suffering from migraine reported their children to have significantly more somatic symptoms than parents of children without primary headache. In addition, first-degree relatives of children with headache suffered from more migraine, other pains, and physical symptoms compared with first-degree relatives of children without primary headache. Children with migraine visited the school nurse, used medication and were absent from school because of headache more often than those with tension-type headache. Few other differences in psychosocial factors were found between the three groups. Migraine among first-degree relatives and the total sum of physical symptoms in children were the strongest predictors of headache in logistic regression analysis. It is concluded that in schoolchildren with mainly infrequent and moderate headache, pain and physical symptoms cluster within individuals as well as their families, however, psychological and social problems are uncommon.
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 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 | 0.002 | 0.001 |
| 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".