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Updated: May 14, 2026

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect
Published on: September 22, 2023
Infant feeding survival and Markov transition probabilities among children under age 6 months in Uganda
Lumbwe Chola1, Lars T Fadnes, Ingunn M S Engebretsen
1Centre for International Health, University of Bergen, Bergen, Norway. lumbwechola@hotmail.com
Insights
Exclusive breastfeeding is better sustained with interventions. A study in Uganda found that peer counseling significantly reduced the risk of stopping exclusive breastfeeding, highlighting the benefits of targeted infant feeding support.
Area of Science:
- Public Health
- Biostatistics
- Maternal and Child Health
Background:
- Infant feeding studies often use single-event models, neglecting the dynamic transitions between feeding states.
- Understanding infant feeding duration requires analyzing multiple feeding events and transitions.
Purpose of the Study:
- To analyze the determinants of infant feeding duration using both single- and multiple-event Cox regression models.
- To compare Cox models with parametric survival models for estimating feeding-state transition probabilities.
Main Methods:
- Utilized data from a community randomized trial in Uganda (2005-2008) promoting exclusive breastfeeding (EBF).
- Employed single- and multiple-event Cox regression and parametric survival models to analyze feeding transitions.
- Peer counselors provided antenatal and postnatal support to intervention mothers.
Main Results:
- Children in the intervention group had a significantly lower risk of ceasing exclusive/predominant breastfeeding (hazard ratio = 0.33).
- Children in rural areas also showed a reduced risk of EBF/PBF cessation (hazard ratio = 0.79).
- Parametric models demonstrated a better fit than the Cox model based on the Akaike Information Criterion.
Conclusions:
- The study highlights the effectiveness of interventions in sustaining exclusive breastfeeding.
- A multi-event analytical approach provides a more comprehensive understanding of infant feeding dynamics.
- Findings can inform policy-making for improved infant feeding practices and support programs.
Abstract:
Infant feeding studies are typically presented as single-event models, without considering the dynamic nature of feeding. We analyzed the determinants of infant feeding duration using both single- and multiple-event Cox regression models. The Cox model was compared with parametric survival models, which were used to estimate feeding-state transition probabilities. Data were taken from a community randomized trial promoting exclusive breastfeeding (EBF) in Uganda from 2005 to 2008. Peer counselors visited intervention mothers once antenatally and 4 times after birth. Results showed that children in the control group were more likely to be switched from exclusive breastfeeding (EBF)/predominant breastfeeding (PBF) to mixed feeding (MF)/replacement feeding (RF). Children in intervention clusters (hazard ratio = 0.33, 95% confidence interval: 0.26, 0.42) and rural areas (hazard ratio = 0.79, 95% confidence interval: 0.63, 0.99) had a lower risk of EBF/PBF cessation. Based on the Akaike Information Criterion, parametric models were better fitted than the Cox model. The analytical approach to assessing infant feeding duration used in this study takes into account transitions between feeding categories, allowing for multiple events. This will enhance understanding of infant feeding practices and give policy-makers a better picture of the versatility of infant feeding.
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