The impact of motherhood on perceived stress, illness intrusiveness and fear of cancer recurrence in young breast cancer survivors over time
Bibliographic record
Abstract
OBJECTIVE: Parenting while coping with breast cancer can be challenging for many young women, yet little is known about the impact of motherhood on their well-being over time. DESIGN: The first part of this study examined differences in perceived stress, illness intrusiveness and fear of cancer recurrence between young breast cancer survivors with and without children in two separate time frames (0-5 and 5-15 years since diagnosis). The second part identified determinants for these elements of well-being in young mothers exclusively. MAIN OUTCOME MEASURES: Seven hundred and forty two young North American women previously diagnosed with breast cancer completed measures of perceived stress, illness intrusiveness, fear of cancer recurrence and parenting stress (mothers only) via a web-based survey. RESULTS: Compared to young survivors without children, young mothers reported higher levels of fear of cancer recurrence and illness intrusiveness in intimate life domains during both time frames. Part 2 revealed how maternal age, age of children, time since diagnosis and parenting stress impacted on well-being in this group. CONCLUSIONS: Young mothers with breast cancer need support to manage their fears of having a recurrence and to cope with problems in intimacy well into remission. This study identifies the most vulnerable groups of mothers.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".