Partner Influence on Health Behavior Decision-Making: Increasing Breastfeeding Duration
Bibliographic record
Abstract
This longitudinal study examined how male partners affect the breastfeeding decisions and behavior of first-time mothers. Based on the reasons model by Meichenbaum and Fong (1993), the breastfeeding reasons, intentions, and behavior of 317 first-time mothers were assessed prenatally and at six time points in the first year postpartum. In a prenatal assessment, men indicated their prescriptive beliefs about whether their partner should breastfeed at the same six time points. Men’s prescriptive breastfeeding beliefs predicted the strength of their partners’ breastfeeding intentions, over and above the women’s own breastfeeding reasons, and they predicted breastfeeding behavior over and above the women’s intentions. These results demonstrate the influence wielded by intimate partners and highlight the importance of focusing on partners’ beliefs when predicting and intervening in health behavior decisions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".