Paper
Menstruation Pattern of Kolkata’s Young College and University-Going Urban Girls with Special Emphasis on The Association of Certain Genetic Factors with Menstrual Abnormalities
presenters
Priya Dey
Nationality: Indian
Residence: India
Anthropological Survey of India
Presence:Online
Keywords:
Menstrual Pattern, Dysmenorrhea, Molecular genetics, Prostaglandins, Pre-menstrual syndrome
Abstract:
Aim: The principal aim of the present study is to investigate the menstrual patterns predominantly witnessed in young urban females enrolled in higher education institutions. Furthermore, this research endeavor aims to analyze the interaction of different lifestyle variables linked to molecular genetics concerning particular menstrual characteristics.
Material and methods: A total of 63 Bengali-speaking Hindu participants, were unmarried, young adult women, who have regular menstruation, have not conceived, and are not diagnosed as diabetic. This study is based on both quantitative and qualitative data. Waist-hip was taken, and a thorough questionnaire was prepared for collecting data on different variables. The collected data was analyzed using different statistical tools of SPSS software.
Results: The average age of the participants in the research was 22.7±1.91 years. A total of 69.8% reported a menstrual bleeding duration of ≤5 days. An excess of 57% of the participants had a menstrual cycle lasting ≤28 days. More than 76% encountered moderate to mild menstrual bleeding. Approximately 61.9% were reported to have encountered symptoms of Pre-menstrual syndrome. Furthermore, over 68% of the cohort experienced Dysmenorrhea during menstruation. This process entails modifications in cytokines and prostaglandins. Variations in genetics could impact the production and response to these compounds, subsequently influencing the intensity of pain. Lifestyle elements, such as smoking, alcohol consumption, and dietary habits, may interact with genetic predisposition to impact Dysmenorrhea. Additionally, a majority of the study sample (82.5%) were classified as obese. This condition appears to influence specific menstrual attributes.