The Effect of Housework on Physical Activity during the Transition to Parenthood
Bibliographic record
Abstract
The transition to parenthood is associated with declines in moderate to vigorous physical activity (MVPA) and increases in light PA (LPA). One potential mechanism for this change in PA that occur at the onset of parenthood is housework. We examined housework load and PA levels of three cohorts of couples across 12 months recruited from Victoria, British Columbia, Canada between January 2007 and December 2011. Participants (N = 314; 102 not expecting a child, 136 expecting first-child, 76 expecting second child) completed baseline demographics and 7-day accelerometry, followed by assessments at 6 and 12 months. Hierarchical linear regression assessed the association between PA, housework, and perceptions of partner’s workload. New fathers’ but not new mothers’ housework was positively related to their LPA at 12 months. Perceptions of partners’ workload were positively related to new mothers LPA, and negatively related to new fathers MVPA at 12 months. Mediation analysis determined if perceived behavioral control accounts for the relationship between the discrepancy in housework between partners’ PA. Results suggest that if a woman perceives their partner to do more housework their own PA increases, whereas for men their PA decreases. These findings highlight the importance of the division of housework on PA for both mothers and fathers.
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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 | 0.002 |
| 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 | 0.000 | 0.001 |
| 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".