학술논문

Prevalence of Premenstrual Syndrome and Associated Factors Among Academics of a University in Midwest Brazil
Document Type
article
Source
Revista Brasileira de Ginecologia e Obstetrícia. February 2022 44(2)
Subject
premenstrual syndrome
premenstrual dysphoric disorder
cross-sectional studies
risk factors
students
Language
English
ISSN
0100-7203
Abstract
Objective To investigate the prevalence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) in university students, the factors associated with PMS, the most prevalent symptoms, and the interference of symptoms in academic, family, social, and work activities. Methods This cross-sectional study included 1,115 university students aged ≥ 18 years from the University of Rio Verde, Goiás. Premenstrual syndrome and PMDD were identified using the Premenstrual Symptoms Screening Tool. Associations with sociodemographic, behavioral, reproductive, nutritional, and health factors were investigated using the Poisson regression. Results The prevalence of PMS was 46.9% (95% confidence interval [CI] 44.0-49.8), and of PMDD, 11.1% (95% CI 9.3-13.0). The most prevalent symptoms were physical, such as breast tenderness, bloating, e weight gain (73%); followed by psychological ones such as overeating/food cravings, tearful/more sensitive to rejection (> 60%). More than 30% of the patients reported that the symptoms interfered in a moderate-tosevere way in their social and academic activities. After adjusted analysis, PMS was more prevalent in those who were attending the 1st/2nd semester of college (prevalence ratio [PR] 1.44; 95% CI 1.14-1.80), those who consumed alcohol in the last 30 days (PR 1.23; 95% CI 1.04-1.47), and those who had depression (PR 1.49; 95% CI 1.30-1.71). Conclusion Almost half of the university students had PMS and ~ 11%, PMDD. Physical symptoms were themost common and interfered in amoderate-to-severe way in various aspects of life. Attending the first semesters, consuming alcohol, and having depression were risk factors for PMS. The identification of risk factors for PMS is essential to prevent symptoms and reduce the impact of the syndrome.