Determinants of infant feeding practices among Black mothers living with HIV: a multinomial logistic regression analysis
Bibliographic record
Abstract
BACKGROUND: Infant feeding practices are imperative for babies' and mothers' health and emotional wellbeing. Although infant feeding may seem simple, the decisions surrounding it are complex and have far-reaching implications for women globally. This is an especially difficult concern among mothers living with HIV because breastfeeding can transmit HIV from mother to child. This is further complicated by cultural expectations in case of Black mothers living with HIV. This paper discusses determinants of infant feeding practices among Black mothers living with HIV who were on anti-retroviral therapy (ART) in two North American cites and one African city. METHODS: A cross-sectional, multi-country survey using venue-based convenience sampling of Black mothers living with HIV was employed. The effective response rates were 89% (n = 89) in Ottawa, Canada; 67% (n = 201) in Miami, Florida, US; and 100% (n = 400) in Port Harcourt, Nigeria, equaling a total sample size of 690. Data were collected in Qualtrics and managed in Excel and SPSS. Multinomial logistic regression analyses were used to determine the factors influencing the mothers' infant feeding practices (Exclusive Formula Feeding [EFF] = 1; Mixed Feeding [MF] = 2; and Exclusive Breastfeeding [EBF while on ART] =3). RESULTS: The results highlight socio-demographics, EFF determinants, and EBF determinants. The statistically significant determinants of infant feeding practices included national guideline on infant feeding, cultural beliefs and practices, healthcare systems, healthcare personnel, infant feeding attitudes, social support, and perceived stress. Mothers' mean ages were Ottawa (36.6 ± 6.4), Miami (32.4 ± 5.8), and Port Harcourt (34.7 ± 5.7). All sampled women gave birth to least one infant after their HIV diagnoses. Statistically significant (p < .05) determinants of EFF relative to MF were the national guideline of EFF (relative risk [RR] = 218.19), cultural beliefs (RR = .15), received healthcare (RR = 21.17), received healthcare through a nurse/midwife (RR = 3.1), and perceived stress (RR = .9). Statistically significant determinants of EBF relative to MF were received healthcare (RR = 20.26), received healthcare through a nurse/midwife (RR = 2.31), functional social support (RR = 1.07), and perceived stress (RR = .9). CONCLUSION: While cultural beliefs and perceived stress favoured MF over EFF, advice of healthcare workers, and the care received from a nurse/midwife improved EFF over MF. Also while the mothers' perceived stress favoured MF over EBF, advice of their nurses or midwife and the social support improved EBF over MF. The providers advice was congruent with WHO and national guidelines for infant feeding among mothers living with HIV. These results have implications for nursing, healthcare practice, and policies on infant feeding practices for mothers living with HIV.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".