Breastfeeding and lactation research: exploring a tool to measure infant feeding patterns
Bibliographic record
Abstract
BACKGROUND: Infant feeding categories, often referred to as breastfeeding definitions, form the basis to describe infant feeding patterns; especially, breastfeeding duration and degree of breastfeeding exclusivity. Researchers use a variety of algorithms and no validated tool exists to measure feeding patterns for research purposes. The goal of this research project was to develop and test a tool to measure patterns of infant feeding for breastfeeding and lactation research. METHODS: We used a literature review, survey methods, and statistical analysis to develop and test this health measurement tool. The work was completed in three phases: 1) development of the tool; 2) assessment of content validity with a panel of experts; and 3) testing for inter-rater reliability by comparing the conclusions of 2 independent research assistants (RAs) and by comparing mothers' feeding diaries with the RAs' findings. For the third phase, an a priori analysis determined we needed to recruit 75 participants. Inclusion criteria were women who had given birth to a single healthy newborn, planned to breastfeed and were able to breastfeed freely, were able to read and write in English or French, were willing and able to maintain a weekly feeding diary for 6 weeks and to answer 6 English telephone questionnaires (twice within 24 hrs x 3 times over 6 months. To measure inter-rater reliability, we used intraclass correlation coefficient. RESULTS: THE FINAL TOOL, THE FEEDCAT TOOL, CONTAINS TWO PARTS: 1) questions asked to determine what and how the baby was fed and 2) a chart to indicate the feeding category for each time point and recall period. We recruited 75 breastfeeding mothers to measure inter-rater reliability. Inter-rater reliability for classification of feeding categories by the two RAs and for agreement between the RAs' findings at 1 month and mothers' diaries at 4 weeks indicated excellent agreement. CONCLUSION: We produced a feeding categories tool that can be used by researchers to describe the type, amount, and mode of feeding, and we tested the tool for content validity and reliability. Researchers should consider The FeedCat Tool for lactation and research projects requiring data about infant feeding patterns.
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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 | 0.054 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".