The Influence of Perinatal Education on Breastfeeding Decision and Duration
Bibliographic record
Abstract
Objectives: to evaluate factors influencing breastfeeding duration in an integrative model, considering both the organization of medical care and the perinatal education. Methods: We conducted a cross sectional study with data collected in a face to face interview of 1,008 mothers with children aged between 9 and 14 months The questionnaire focused on the main characteristics of a Mother-Baby Friendly Hospital initiative and the type of perinatal education received by pregnant women. Correlation and partial correlation tests, non-parametric tests and classification tests were applied. Data were processed in SPSS 12.0 software. Results: The positive effects of Mother Baby Friendly Hospitals Organization initiative organization were confirmed. However, the main differentiator for breastfeeding duration was the level of formal education of pregnant mothers and the active seeking of perinatal education (r = 0.22, p< 0.001). The perinatal counseling was correlated with breastfeeding duration only for the subgroup participating to structured, dedicated time slot apart from the regular medical consultation (r = 0.079; p = 0.014), independently of mother’s age, education, residence, time to first breastfeeding contact, type of birth delivery and rooming in. Our results support a broader approach to perinatal education than medical counseling during pregnancy to increase the voluntary participation of future mothers to the perinatal educational programs. Conclusion: As mothers’ motivation to maintain the optimum duration of breastfeeding is a determinant factor, an earlier and sustained educational process, before pregnancy and after birth delivery, is necessary in order to create a general favorability for exclusive breastfeeding.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".