A Longitudinal Dyadic Study of Six Leisure Activities in Swedish Couples During the Transition to Parenthood
Bibliographic record
Abstract
Parents are not only caregivers to their children; they also have leisure routines that can impact their own well-being. However, little is known about how leisure activities change within the context of a couple during the transition to parenthood. This study uses latent growth curve models and data from the Swedish Pregnancy Panel to examine how often 918 first-time, heterosexual couples participated in six leisure activities from around pregnancy week 19 to one year postpartum. Compared to fathers, mothers less frequently exercised and listened to news, and more frequently read newspapers, spent time for themselves, and spent time with friends. Over time, mothers increased their frequency of praying to God and decreased spending time for themselves and with friends. Fathers decreased frequency of exercise. Within couples, there was a positive correlation between mothers' and fathers' frequency of engaging in leisure activities, although most changes over time were not associated. Our finding that two individuals within a couple may change their leisure activities independently of each other during the transition to parenthood can help healthcare professionals and researchers prepare expectant couples for upcoming changes (or lack thereof) and promote parent well-being. Our findings also highlight the possibility that in contexts with more state support for families, parenthood may not exacerbate gender gaps in leisure.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".