PhD Student
University of California, Davis
Mountain House, California, United States
Hussain's research explores the prevalence of various cardiometabolic risk factors (e.g., pre-pregnancy obesity, high blood pressure, high fasting glucose, high triglycerides, and inflammation) among pregnant U.S. women and their associations with diet quality and food insecurity. Furthermore, he is interested in evaluating whether participation in social safety net programs, such as the USDA’s Women, Infants, and Children (WIC) supplemental nutrition program, has protective associations against these cardiometabolic risk factors. The goal of his research is to inform healthcare practice (e.g., screening for nutrition risk or food insecurity in prenatal care), guide interventions (such as enhancing WIC and other nutrition programs), and support policy decisions aimed at improving maternal and offspring health outcomes. Through the Goals for Reaching Optimal Wellness (GROWell) project, Hussain is also contributing to the analysis of a digital health intervention in improving infant feeding and breastfeeding behaviors among postpartum women with obesity during pregnancy. His role involves analyzing engagement data using natural language processing methods (e.g., topic modeling, text classification, sentiment analysis) to evaluate app usability and thematic trends in user responses. This mixed-methods work provides insights into how maternal obesity, behavioral nudges, and digital tools intersect to improve early-life nutrition and reduce health disparities.
Sunday, June 1, 2025
2:00 PM – 3:00 PM ET
Disclosure(s): No relevant financial relationship(s) with ineligible companies to disclose.
Sunday, June 1, 2025
2:08 PM – 2:12 PM ET
Disclosure(s): No relevant financial relationship(s) with ineligible companies to disclose.