Infant Feeding Education, Lactation & Breastfeeding Support

Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

JMIR Public Health Surveill 2025 (Jun 18); 11:e69220

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Designing a Digital Intervention to Increase Human Milk Feeding Among Black Mothers: Qualitative Study of Acceptability and Preferences

Loral Patchen, Jeannette Tsuei, Donna Sherard, Patricia Moriarty, Zoe Mungai-Barris, Tony Ma, Elina Bajracharya, Katie Chang, William Douglas Evans

JMIR Form Res 2025 (Mar 19); 9:e67284

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Scaling Up Kangaroo Mother Care Through a Facility Delivery Model in Rural Districts of Pakistan: Protocol for a Mixed Methods Study

Shah Muhammad, Asif Soomro, Samia Ahmed Khan, Hina Najmi, Zahid Memon, Shabina Ariff, Sajid Soofi, Zufiqar Ahmed Bhutta

JMIR Res Protoc 2025 (Jan 29); 14:e56142

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Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study

Tamar Krishnamurti, Rachel Moon, Rudolph Richichi, Rachel Berger

JMIR Pediatr Parent 2025 (Jan 14); 8:e65247

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A Mobile App for Promoting Breastfeeding-Friendly Communities in Hong Kong: Design and Development Study

Heidi Sze Lok Fan, Emily Tsz Yan Leung, Ka Wing Lau, Janet Yuen Ha Wong, Edmond Pui Hang Choi, Christine Lam, Marie Tarrant, Hextan Yuen Sheung Ngan, Patrick Ip, Chia Chin Lin, Kris Yuet Wan Lok

JMIR Form Res 2025 (Jan 10); 9:e64191

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