<i>Is There a Link Between Postpartum Anemia</i> And Discontinuation of Breastfeeding?
Bibliographic record
Abstract
PURPOSE: Factors associated with early cessation of breastfeeding were identified and patterns of infant feeding were examined. Feeding practices were compared with the 1998 guidelines in Nutrition for Healthy Term Infants and with recent Health Canada recommendations. METHODS: To recruit participants, a letter was sent to every mother (n=424) who gave birth at Dr. Georges-L. Dumont Regional Hospital in Moncton from April 1998 to February 1999. Eighty-five mothers agreed to participate with their infants. Information on infant feeding patterns and socioeconomic background was gathered with semi-structured questionnaires. Only healthy infants from singleton pregnancies were included in this study. RESULTS: At birth, almost 83% of infants were breastfed. The proportions of infants breastfed for at least four, six, and nine months were 43%, 22%, and 9%, respectively. As many as 34% of infants were introduced to baby cereals before age four months, and 21% were introduced to cow's milk before age nine months. Lower family income, lower level of parental education, and reduced postpartum hemoglobin level (below 95 g/L) were associated with discontinuation of breastfeeding before infants were four months old. CONCLUSIONS: Early postpartum nutrition interventions may be effective in ensuring follow-up care for mothers with compromised iron status, in supporting breastfeeding for at least six months, and in promoting better infant feeding practices.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".