Parent and child physical activity as possible predictors of quality of life in pediatric brain tumor patients: a dyadic analysis
Bibliographic record
Abstract
Introduction Children diagnosed with a pediatric brain tumor (PBT) are at risk for deficits that can affect their quality of life (QoL). One potential avenue to target the QoL of these patients is physical activity (PA). This study aimed to evaluate the association between parent and child PA levels, and the unique contributions of these outcomes to children’s overall and domain-specific QoL in children with PBT, including those in active treatment and remission.Methods In this cross-sectional study conducted in a hospital setting, we measured PA levels of 36 parent-child dyads through self-reported weekly minutes of PA. We assessed children’s overall and domain-specific (i.e. physical, emotional, social, school functioning) QoL with the PedsQL Generic Core Scales. We analyzed our data descriptively and using correlation analyses to explore relationships between child and parent PA levels. We used an Actor-Partner Interdependence Model (APIM) to evaluate whether child and parent PA were associated with children’s QoL.Results In 36 parent-child dyads, we found a strong positive correlation between parent and child (mage = 10.44 ± 4.09; range 5−18 years) PA levels (r = 0.802, p < 0.001). The APIM revealed excellent model fit indices (χ²(8) = 3.40, p = 0.907, CFI = 1.000, TLI = 1.208, RMSEA = 0 (90% CI[0, 0.079]), SRMR = 0.077) and a significant actor effect, with child PA being significantly positively associated with the child’s overall QoL (β = 0.779, FDR-corrected p = 0.05, 95% CI[0.019, 0.108]). There was no partner effect, however, as parents’ PA was not associated with the child’s overall or domain-specific QoL (median FDR-corrected p = 0.290).Conclusion This study demonstrated that in children diagnosed with a PBT, child PA levels are significantly associated with their overall QoL, and parents’ PA is not associated with their child’s QoL. These findings highlight the need for clinical interventions that promote PA that is tailored to the needs of this population. Future research should explore approaches for family-based interventions to enhance QoL.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".