Mother–child communication about possible cancer recurrence during childhood cancer survivorship
Bibliographic record
Abstract
OBJECTIVE: Providing opportunities to communicate about possible cancer recurrence may be adaptive for youth in remission, yet parents may experience difficulty guiding discussions related to fears of cancer recurrence (FCR). This study aimed to characterize mother-child discussions about potential cancer recurrence during post-treatment survivorship and to determine predictors of maternal communication. METHODS: Families (N = 67) were recruited after the child's initial cancer diagnosis (age 5-17 years) and mothers self-reported their distress (post-traumatic stress symptoms; PTSS). During survivorship 3-5 years later, mothers were video-recorded discussing cancer with their children. Presence and length of discussion about potential cancer recurrence, triggers for FCR, expressed affect, and conversational reciprocity were examined. Hierarchical regressions were used to assess maternal PTSS near the time of cancer diagnosis and child age as predictors of maternal communication. RESULTS: Three-quarters of dyads spontaneously discussed risk for or fears about cancer recurrence; mothers initiated the topic more frequently than their children. Dyads discussed internal (bodily symptoms) and external (medical, social) triggers of FCR. Higher maternal PTSS at diagnosis predicted significantly lower levels of maternal positive affect (β = -0.36, p = 0.02) and higher levels of maternal negative affect (β = 0.30, p = 0.04) during discussion of recurrence 3-5 years later. Older child age significantly predicted higher levels of maternal negative affect (β = 0.35, p = 0.02). Higher maternal PTSS at diagnosis predicted shorter discussions about recurrence for younger children (β = 0.27, p = 0.02). CONCLUSIONS: Understanding predictors and characteristics of mother-child discussions about recurrence can guide family-based FCR interventions, particularly those promoting communication as a supportive tool. Both maternal PTSS and child age are important to consider when developing these interventions.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".