Determinants of Adherence to National Infant Feeding Guidelines by Black Mothers Living with HIV
Bibliographic record
Abstract
Objective: Worldwide, 160,000 children were newly infected with HIV in 2018; half of these were infected through breastfeeding. Infant feeding guidelines are distinct depending on each country's resources and national or sub-national guidelines. Because of divergent guidelines, the best infant feeding approach to prevent mother-to-child transmission can become unclear. The purpose of this study was to examine the sociocultural and psychosocial factors related to adherence to infant feeding guidelines through a city-level, North-South comparison of Black mothers living with HIV in Nigeria, Canada, and the United States. Design: Using a cross-sectional multi-country survey, a convenience sample of 690 mothers were recruited from June 2016 - December 2019. Socio-cultural and psychosocial factors influencing infant feeding practices were measured. Results: Using binary logistic regression, infant feeding attitudes (OR = 1.10), motherhood experiences (OR = 1.08), low hyper-vigilance score (OR = .93), paternal support (OR = 1.10) and perception that the health care provider supported adherence to infant feeding guidelines (OR = 2.43) were associated with guideline adherence. Mothers who had cultural beliefs that were inconsistent with infant feeding guidelines and mothers with low incomes (OR = 2.62) were less likely adherent with their country's guidelines. Conclusion: City-level factors were not found to influence adherence to infant feeding guidelines; however, socio-cultural and psychosocial factors at community, family and individual levels were significant. Policy formulation and targeted interventions must be cognizant of cultural expectations of motherhood and mindful of psychosocial determinants of adherence to infant feeding guidelines.
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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 | 0.003 |
| 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) | 0.001 | 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".