A review on menstrual health in adolescent girls emphasizing multi-omics and machine learning strategies for preventing reproductive tract infections
Mousumi Ganguly, Arindam Ganguly, Sourav Chattaraj, Dipak K. Midya
Abstract
Abstract Adolescence is a period characterized by significant physical and psychological hurdles for young females. The onset of menstruation signifies a crucial transition from childhood to womanhood, instigating various physical changes and emotional responses that profoundly impact adolescents’ experiences and overall well-being. During this period, reproductive tract infections (RTIs) emerge as a significant health concern, potentially leading to severe physical and psychological consequences, including reproductive health complications and diminished quality of life. This review aims to elucidate the intricate relationship between menstruation and adolescent health by examining the onset of menstruation, its associated physical and psychological changes, and the critical importance of effective menstrual hygiene management. Additionally, the societal implications of menstruation, such as stigma and access to resources, are explored to provide a comprehensive understanding of the challenges faced by adolescent girls. To address the serious issue of RTIs, we propose an innovative framework that integrates multi-omics approaches encompassing genomics, transcriptomics, proteomics, and metabolomics with machine learning techniques. This integration aims to facilitate predictive modeling and enhance symptom tracking, thereby promoting menstrual health literacy and informed decision-making. By addressing these multifaceted dimensions, the review aims to support the reproductive health and empowerment of adolescent girls during this crucial life stage, ultimately contributing to improved health outcomes and societal well-being.