P1-235 Does social support buffer anxiety associated with returning to work or school for new mothers in the first year after giving birth?
Bibliographic record
Abstract
In Canada, maternity leave can last up to 1 year after giving birth. For some women, there may be associated anxiety with the prospect of having to return to work or school. We investigated the extent to which employment intentions during early postpartum were associated with symptoms of anxiety and whether this association was moderated by perceptions of social support. We used data from the All Our Babies Study, a community based prospective cohort study of pregnant women in Calgary, Alberta, Canada (n=1578). Women completed confidential questionnaires that collected information about their pregnancy, lifestyle, life events, social support, stress, and mental health at three time points: early pregnancy, late pregnancy, and 4 months postpartum. We asked women detailed questions about their intentions of returning to work or school at the 4 month data collection. Women who noted that they would be returning to work or school within 12 months had significantly higher anxiety symptomatology, controlling for SES and baseline anxiety, than women who were not returning to work or school. We classified women into four mutually exclusive categories according to timing of return to work/school and perceived social support in order to examine the buffering hypothesis of social support. The group of women that manifested the most anxiety comprised those with intentions of returning when their infants were <12 months of age AND low perceived social support. These findings have implications for developing targeted strategies to support working 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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".