The Relationship between Endocrine Disruptor Exposure Behavior and Premenstrual Syndrome in Female College Students
Year: 2024
Type: article
Study design: Observational Study
Abstract: This study aimed to investigate the relationship between endocrine disruptor exposure behaviour and Premenstrual Syndrome (PMS) in female college students, focusing on the extent of exposure, demographic variations, and correlations between these variables.Endocrine disruptors, which interfere with hormonal balance, are present in various dailyuse materials and have been linked to reproductive health issues.This study aimed to provide insights for health education programs by examining how exposure influences PMS symptoms.Data were collected from 160 female college students through a structured questionnaire, with 157 valid responses included in the analysis.A descriptive, crosssectional design was utilized, and data were analyzed using SPSS 25.0, employing ANOVA and Pearson correlation techniques.Results showed that the mean scores for endocrine disruptor exposure behaviour and PMS were 2.72 and 2.08, respectively, indicating moderate exposure and mild PMS symptoms.A statistically significant positive correlation was identified between the two variables (r = 0.196, p = 0.014).Notably, PMS severity was higher among analgesic participants (t = 2.243, p = 0.026).These findings highlight that higher exposure to endocrine disruptors is associated with more severe PMS symptoms.The study underscores the importance of reducing exposure to endocrine disruptors through behavioural changes and incorporating this knowledge into reproductive health education.Such efforts could alleviate PMS discomfort, improve the quality of life, and raise awareness among young women in their childbearing years.Further research is recommended to validate these findings across diverse populations and regions.
Authors: P. Hawranik, L. Strain
Institution: University of Manitoba
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4405918256