
Sign up to save your podcasts
Or
In this episode of The IBCLC Mentor Podcast, Margaret Salty dives into the latest research articles from her Google Scholar alerts, exploring how recent findings can enhance the practice of IBCLCs. Margaret breaks down complex research into actionable strategies for lactation consultants, focusing on how these insights can improve breastfeeding outcomes. Whether you're a seasoned IBCLC or just starting your journey, these episodes will keep you at the forefront of evidence-based lactation care.
Key Points Covered:1. Breastfeeding and Multiple Sclerosis Progression
Margaret discusses a study by Bilge et al. (2025) that investigates the correlation between breastfeeding and disease progression in patients with multiple sclerosis. The findings highlight how breastfeeding can influence health outcomes for mothers with this condition.
Reference:
Bilge, N., Dagci, Y., Demirdogen, F., & Simsek, F. (2025). Correlation of breastfeeding with disease development and progression in patients with multiple sclerosis. Journal of Multiple Sclerosis Research, 4(3), 89–94. https://doi.org/10.4274/jmsr.galenos.2025.2024-12-3
2. Early Breastfeeding Initiation and Uterine Involution
Margaret reviews a study by Rukmawati & Fatimah (2025) examining the effect of early breastfeeding initiation on uterine involution in first-day postpartum mothers. She discusses how early breastfeeding can benefit maternal postpartum recovery.
Reference:
Rukmawati, S., & Fatimah, N. A. (2025). The effect of early breastfeeding initiation (IMD) on uterine involution in first-day postpartum mothers. Journal for Research in Public Health, 6(2), 65–67. https://jrph.org/
3. Predicting Low Milk Supply Through Milk Composition
Margaret shares insights from Jin et al. (2025), which utilized machine learning to analyze milk composition as a predictor of low milk supply. She explores how this technology could enhance lactation assessment tools.
Reference:
Jin, X., Lai, C. T., Perrella, S. L., Zhou, X., Hassan, G. M., McEachran, J. L., ... & Geddes, D. T. (2025). Milk composition is predictive of low milk supply using machine learning approaches. Diagnostics, 15(2), 191. https://doi.org/10.3390/diagnostics15020191
4. Breastfeeding Knowledge Among Medical Students
This study by Salih et al. (2025) investigates knowledge and attitudes toward breastfeeding among female medical students. Margaret discusses the implications for breastfeeding advocacy and education among healthcare professionals.
Reference:
Salih, R., Fathallah, S., Mohammed, Z., Mustafa, H., Nouri, E., & Elnaje, T. (2025). Knowledge and attitude toward breastfeeding among female medical students. Alqalam Journal of Medical and Applied Sciences, 8(1), 85–90. https://doi.org/10.54361/ajmas.2581013
5. Feeding Decisions in Emergencies
Margaret examines the study by Mensah et al. (2024) that explores how the formula shortage during COVID-19 impacted infant feeding decisions. She highlights the importance of supporting breastfeeding during emergencies.
Reference:
Mensah, D., Agyemang, E. F., & Gewa, C. (2024). Understanding women, infant, and children feeding decisions in emergencies: The case of COVID-19 and the formula shortage. Journal of Health, Medicine, and Nursing, 118, 49-64. https://doi.org/10.7176/JHMN/117-05
Practical Applications for IBCLCs:Staying updated with the latest research is essential for providing the best care as an IBCLC. By integrating evidence-based strategies, you can enhance breastfeeding support and outcomes. Tune in each week as we explore more insights from the world of lactation science.
Have questions or suggestions for future episodes? Reach out at [insert website link] or connect with me on social media:
Instagram: @margaretsalty
Facebook: Margaret Salty's IBCLC Community
Credits:Hosted by: Margaret Salty
Music by: The Magnifiers, "My Time Traveling Machine"
Hashtags and Keywords:#IBCLC #LactationConsultant #BreastfeedingResearch #LactationMentor #IBCLCMentorPodcast #EvidenceBasedPractice
5
1111 ratings
In this episode of The IBCLC Mentor Podcast, Margaret Salty dives into the latest research articles from her Google Scholar alerts, exploring how recent findings can enhance the practice of IBCLCs. Margaret breaks down complex research into actionable strategies for lactation consultants, focusing on how these insights can improve breastfeeding outcomes. Whether you're a seasoned IBCLC or just starting your journey, these episodes will keep you at the forefront of evidence-based lactation care.
Key Points Covered:1. Breastfeeding and Multiple Sclerosis Progression
Margaret discusses a study by Bilge et al. (2025) that investigates the correlation between breastfeeding and disease progression in patients with multiple sclerosis. The findings highlight how breastfeeding can influence health outcomes for mothers with this condition.
Reference:
Bilge, N., Dagci, Y., Demirdogen, F., & Simsek, F. (2025). Correlation of breastfeeding with disease development and progression in patients with multiple sclerosis. Journal of Multiple Sclerosis Research, 4(3), 89–94. https://doi.org/10.4274/jmsr.galenos.2025.2024-12-3
2. Early Breastfeeding Initiation and Uterine Involution
Margaret reviews a study by Rukmawati & Fatimah (2025) examining the effect of early breastfeeding initiation on uterine involution in first-day postpartum mothers. She discusses how early breastfeeding can benefit maternal postpartum recovery.
Reference:
Rukmawati, S., & Fatimah, N. A. (2025). The effect of early breastfeeding initiation (IMD) on uterine involution in first-day postpartum mothers. Journal for Research in Public Health, 6(2), 65–67. https://jrph.org/
3. Predicting Low Milk Supply Through Milk Composition
Margaret shares insights from Jin et al. (2025), which utilized machine learning to analyze milk composition as a predictor of low milk supply. She explores how this technology could enhance lactation assessment tools.
Reference:
Jin, X., Lai, C. T., Perrella, S. L., Zhou, X., Hassan, G. M., McEachran, J. L., ... & Geddes, D. T. (2025). Milk composition is predictive of low milk supply using machine learning approaches. Diagnostics, 15(2), 191. https://doi.org/10.3390/diagnostics15020191
4. Breastfeeding Knowledge Among Medical Students
This study by Salih et al. (2025) investigates knowledge and attitudes toward breastfeeding among female medical students. Margaret discusses the implications for breastfeeding advocacy and education among healthcare professionals.
Reference:
Salih, R., Fathallah, S., Mohammed, Z., Mustafa, H., Nouri, E., & Elnaje, T. (2025). Knowledge and attitude toward breastfeeding among female medical students. Alqalam Journal of Medical and Applied Sciences, 8(1), 85–90. https://doi.org/10.54361/ajmas.2581013
5. Feeding Decisions in Emergencies
Margaret examines the study by Mensah et al. (2024) that explores how the formula shortage during COVID-19 impacted infant feeding decisions. She highlights the importance of supporting breastfeeding during emergencies.
Reference:
Mensah, D., Agyemang, E. F., & Gewa, C. (2024). Understanding women, infant, and children feeding decisions in emergencies: The case of COVID-19 and the formula shortage. Journal of Health, Medicine, and Nursing, 118, 49-64. https://doi.org/10.7176/JHMN/117-05
Practical Applications for IBCLCs:Staying updated with the latest research is essential for providing the best care as an IBCLC. By integrating evidence-based strategies, you can enhance breastfeeding support and outcomes. Tune in each week as we explore more insights from the world of lactation science.
Have questions or suggestions for future episodes? Reach out at [insert website link] or connect with me on social media:
Instagram: @margaretsalty
Facebook: Margaret Salty's IBCLC Community
Credits:Hosted by: Margaret Salty
Music by: The Magnifiers, "My Time Traveling Machine"
Hashtags and Keywords:#IBCLC #LactationConsultant #BreastfeedingResearch #LactationMentor #IBCLCMentorPodcast #EvidenceBasedPractice
100 Listeners
3,944 Listeners
1,365 Listeners
970 Listeners
68,684 Listeners
113 Listeners
10 Listeners
610 Listeners
4,304 Listeners
9 Listeners
466 Listeners
1,111 Listeners
21,131 Listeners
0 Listeners
126 Listeners