Risk Factors and Outcomes of Neonatal Cholestasis: A Cross-Sectional Study in Tertiary Care Centers

Background: Hormonal fluctuations, gut flora abnormalities, and environmental stressors contribute to chronic diseases like Inflammatory Bowel Disease (IBD), which devastatingly affects women’s health. Even as medical science advances, understanding these factors and their interaction is needed to improve sickness management and patient outcomes. Objectives: This study examines how stress, hormonal fluctuations, and gut microbial dynamics affect women’s IBD symptoms. This research aims to identify vulnerable moments and develop effective early intervention methods. Women are susceptible throughout pregnancy and menopause. Methods: Inflammatory bowel disease affected 1,550 women in a cross-sectional study that employed clinical assessments, patient interviews, and laboratory data. We investigated how hormone profiles (estradiol and progesterone levels), stool sample sequencing, and validated stress scale affect disease activity and progression. We used regression models to find relationships and assess significance. Results: According to the study, patients with estradiol levels >200 pg/mL had 30% more flare-ups, demonstrating a substantial relationship between hormonal changes and illness severity. Symptom severity increased by 40% when gut microbiota imbalance, notably a decrease in Lactobacillus (<10^7 CFU/g), was present. High stress (score >20 on the stress scale) increased recovery time by 25% following a flare-up. Sixty per cent of pregnant participants reported increased symptoms, emphasizing menopause and pregnancy importance. With microbiota modulation by food and stress management, flare-up frequency decreased by 20% and recovery lengths by 15%. Conclusion: This study suggests that we must identify and control risk factors early in women with inflammatory bowel disease (IBD) to improve their health. The findings emphasize the relevance of public health initiatives and gender-sensitive treatment approaches focusing on tailored interventions during high risk. Studying larger, more diverse populations and longitudinal designs can help us understand these links and enhance intervention strategies.