Prenatal Subjective Social Status as a Predictor of Breastfeeding Outcomes
Bibliographic record
Abstract
Introduction: Subjective social status (SSS), which describes one’s perceived hierarchical rank, may provide a more accurate prediction of health than traditional socioeconomic measures. The specific relationship between SSS and breastfeeding outcomes is understudied. Our objectives were to: (1) investigate factors associated with SSS, (2) assess the relationship between prenatal SSS and any or exclusive breastfeeding at 3 and 6 months, and (3) evaluate the relationship between prenatal SSS and breastfeeding duration. Methods: Overall, 2,870 participants from the Canadian Healthy Infant Longitudinal Development birth cohort data were included. Prenatal SSS was self-ranked at 18 weeks' gestation using the MacArthur Scale and categorized as low (1–5), moderate (6–7), and high (8–10) SSS. Any and exclusive breastfeeding were categorized at 3 and 6 months postpartum, along with breastfeeding duration. Multivariable logistics and linear regression were conducted. Results: After adjusting for race, education, income, marital status, employment, and parity, the odds of exclusive breastfeeding at 3 months were 1.51 times higher [95% confidence interval (CI): 1.18, 1.94] in the high SSS group than in the low SSS group. The likelihood of any breastfeeding at 6 months was 1.45 times higher [95% CI: 1.10, 1.92] in the moderate SSS group than the low SSS group. Women with high SSS breastfed for approximately 42 days longer than women with low SSS. Conclusion: SSS was associated with exclusive breastfeeding at 3 months, any breastfeeding at 6 months, and breastfeeding duration. SSS may offer a more patient-centered indicator of health, informing targeted interventions for individuals at risk of suboptimal breastfeeding outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".