Objective
Premenstrual syndrome (PMS) is a common condition among women during their menstrual cycle. PMS can negatively affect a woman’s daily life and function. Nurses, as an important and substantial segment of healthcare staff, are affected by the demanding environment of work place. Since PMS, as a prevalent counterproductive condition, has not been studied in this population in Iran, we assessed the prevalence of PMS and its associated factors among nurses aged 23 to 49 in teaching hospitals of the Tehran province of Iran.
Material and Methods
In this cross-sectional study from April 2021 to January 2022, 280 participants from teaching hospitals were enrolled. Simple random sampling was used to determine the sample size of the study. Two validated questionnaires and a data gathering sheet were used to collect information. The premenstrual symptoms screening tool was used to determine PMS severity and the Copenhagen Psychosocial Questionnaire to evaluate the associated job demands. Demographic data and work-related data included: night shift, shift type, monthly COVID-19 care and gynecologic and past medical history were gathered. Then data were analyzed using logistic regression analysis, chi-square and t-test.
Results
The severity of PMS was: mild (42.5%); moderate (30%); and severe (27.5%). Regular menstruation and dysmenorrhea were reported by 84.6% and 72.3%, respectively. Moderate to severe PMS was associated with: monthly COVID shift (p=0.02); emotional (p<0.01) and quantitative (p<0.01) demands; regular caffeine intake (p=0.01); education level (p=0.005); regular exercise (p=0.003); regular fiber intake (p=0.08); and irregular menstrual cycles (p=0.007). In logistic regression only quantitative (p=0.003) and emotional (p=0.018) job demands were significant.
Conclusion
Results showed that the prevalence of PMS was high among Iranian nurses and was associated with quantitative and emotional job demands. We suggest further studies focusing on preventative and effective interventions to diminish the consequences of PMS in this population. We also suggest investigating the practical application of the findings of this study for healthcare professionals and policymakers.