Incidence of Mood or Anxiety Disorders in Children of Parents with Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND: Although parental multiple sclerosis (MS) may put children at increased risk for mental health disorders such as anxiety and depression, the incidence and determinants of such disorders have not been examined. METHOD: We carried out a retrospective cohort study in British Columbia, Canada, among children of parents with MS and age-matched children of unaffected parents. Cox regression was used to estimate the association between parental MS and mood or anxiety disorders in children. RESULTS: The study included 1028 children of MS parents, 4010 children of unaffected parents, and 25 464 child-years of follow-up (median follow-up of 4 years). Mental health morbidity was more common among MS parents vs. unaffected parents (50.4% vs. 33.1%) and among MS-affected mothers vs. unaffected mothers (54.6% vs. 38.0%, P < 0.001). The incidence of child mood or anxiety disorders was 8.3 and 6.3 per 1000 child-years among children of parents with and without MS respectively. Sex of the MS-affected parent modified the relationship between parental MS and mood or anxiety disorders in children (P = 0.04). Compared with children of unaffected mothers, children of mothers affected by MS had higher rates of mood or anxiety disorders (HR 1.7, 95% CI 1.1, 2.4), whereas children of MS-affected fathers did not (HR 0.5, 95% CI 0.2, 1.7). Adjustment for mental health morbidity in mothers diminished the association between maternal MS and child mood or anxiety disorders. CONCLUSION: Maternal MS is associated with a higher rate of mood or anxiety disorders in children and this association appeared to be mediated by maternal mental health morbidity.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| 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".