The Association of the Cumulative/Lifetime Duration of Breast Feeding and the Development of Post Menopausal Breast Cancer. Results from Adventist Health Study - 2.
Bibliographic record
Abstract
Background:Breast cancer affect more than 3.5 million women in the USA1. In 2017 there were 63,410 new cases of breast cancer. Seventy eight percent of these were post menopause women1. Breast feeding has been reported to be among several factors attributing breast cancer in the USA5. However limited research information exist the relationship between the duration of breast feeding and post menopause cancer3. In this study we evaluated the association of two indicators of breast feeding; the initiation of breast feeding (ever breastfed) and duration (cumulative month) of duration of breast feeding among Adventist women in USA and Canada. Methods: We modeled the outcome variable breast cancer using attained age model in Cox proportional hazard regression analysis to assess the association of breastfeeding and postmenopausal cancer. The models consisted of the main exposures; duration of breast feeding and initiation of breast feeding and average month of breastfeeding adjusted for age, education, live birth, age at menarche, age at first birth, period between first child birth and last child birth, body mass index, exercise, hormone replacement therapy (HRT), use of birth control pills, and family history of breast cancer. Results: There was an inverse association between breast feeding and risk of breast cancer, 25% lower risk for those who have initiated breastfeeding, Months of breastfeeding was associated with risk of breast cancer, but the effect seems to be a threshold effect with any breastfeeding (1+ month) being protective compared to those who have not breastfed. Family history of breast cancer, recent HRT use, and higher education were associated with increased risk of breast cancer. Conclusions: Breast feeding is associated with some reduction in risk of breast cancer, but the findings did not reach statistical significance. However the study islimited to a few cases hence wide confidence intervals. Further studies are required to investigate this relationship with a study sample with enough cases. Public health significance:Results of the study will inform policy makers and health professionals regarding strategies for increasing the initiation and duration of breast feeding.
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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 | 0.000 | 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 | 0.001 | 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".