Mental health and health behaviors of parents of survivors of childhood cancer in the early COVID-19 pandemic: Exploring the role of intolerance of uncertainty
Bibliographic record
Abstract
Abstract Introduction: Parents of survivors of childhood cancer may be particularly vulnerable to the experience of poor mental health amid the COVID-19 pandemic. This study aimed to (1) describe the mental health of parents of childhood cancer survivors; (2) explore the role of intolerance of uncertainty (IU) in mental health; and (3) explore the associations of parent mental health and health behaviors with IU. Methods: A cross-sectional, quantitative assessment of parents of survivors of childhood cancer (younger than 18 years) was conducted between May and June 2020. Participants completed an online questionnaire regarding their mental health (PROMIS anxiety, depression), IU (Intolerance of Uncertainty Scale), and health behaviors. Recruitment was conducted through social media and community organizations using convenience and snowball sampling. Results: Seventy-two participants from 6 countries completed the study (99% mothers, mean age of survivors = 11.4 years). Fifty percent of participants reported that their mental health had declined since the start of the COVID-19 pandemic, whereas 46% reported their mental health did not change. More than half of the participants (56%) reported decreased physical activity and 38% reported increased alcohol use. Exploring associations of parent mental health and health behaviors with IU, parent depression, and hours of exercise emerged as significant predictors (B = 3.62, P < .01; B = –1.58, P < .01, respectively), whereby higher depression and less exercise was associated with higher IU. Conclusions: At the height of the COVID-19 global pandemic, some parents of survivors of childhood cancer experienced poor mental health. IU plays a significant role in mental health outcomes, but this does not translate to health behaviors.
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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 | 0.020 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".