Predictors of Relationship Satisfaction Across the Transition to Parenthood: Results from the Norwegian Mother, Father, and Child Cohort Study (MoBa)
Bibliographic record
Abstract
The purpose of the study was to describe trajectories of relationship satisfaction across the transition to parenthood, and identify predictors of these trajectories. This study is based on the Norwegian Mother, Father, and Child Cohort Study (MoBa). Mothers (N = 43,517) reported on their relationship satisfaction at five timepoints from 17 weeks gestation to 5 years postpartum, as well as sociodemographic, psychological, and behavioral covariates. Latent Trajectory Modeling revealed 5 trajectories of relationship satisfaction: “stable very high” (18.05%), “stable high” (43.47%); “stable moderate” (17.21%); “high falling” (3.38%); and “low falling” (4.02%). Predictors of group membership were identified using multinomial logistic regression. Significant predictors included unplanned pregnancy, maternal social support, maternal history of depression, maternal history of abuse, postnatal depression, financial stress, sexual satisfaction, and child negative emotionality. These results may help identify families at risk of declining relationship satisfaction, and aid in targeting interventions aimed at improving satisfaction during this vulnerable transition.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".