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Sociodemographic and occupational risk factors for premenstrual mood disorders among female workers
Mariko Shimoda1, Takumu Kurosawa1, Ryu Takizawa1,2
1Department of Clinical Psychology, Graduate School of Education, The University of Tokyo, Tokyo, Japan.
Introduction:
Premenstrual dysphoric disorder (PMDD) and premenstrual syndrome, collectively referred to as premenstrual mood disorders (PMDs), are common among working women and can significantly impact their well-being and productivity. This study investigated the prevalence of PMDs and identified sociodemographic and occupational factors that contribute to the risk of PMDs among Japanese working women.
Material And Methods:
This was a cross-sectional study based on a two-wave online survey conducted between January and June 2023. The study targeted individuals who were biologically female, aged 20-44 years, and currently employed in Japan. Data were collected on sociodemographic characteristics (e.g., age, marital status, education, income), occupational factors (e.g., working hours, job type), and health-related variables. The primary outcome was the presence of premenstrual disorders (PMDs), assessed using the Premenstrual Dysphoric Disorder Scale. Participants were classified as having PMDs if they met criteria for either PMDD or moderate-to-severe premenstrual syndrome (PMS). Those reporting no or only mild symptoms were categorized as not having PMDs. The secondary outcome was the identification of sociodemographic and occupational factors associated with the presence of PMDs. To examine these associations, logistic regression analysis was performed, comparing individuals with and without PMDs.
Results:
Among 908 participants (mean age = 33.48, SD = 6.20), 13.66% had PMDD, and 30.51% had moderate-to-severe premenstrual syndrome. Greater PMD risk was associated with younger age, non-regular employment, working ≥60 h weekly, employment in small companies, the presence of children, and lower educational attainment. In contrast, a lower PMD risk was associated with having a manufacturing job.
Conclusions:
Sociodemographic and occupational factors have a strong impact on PMDs among Japanese female workers. Promoting work-life balance and providing tailored mental health support in the workplace can help reduce PMDs. Future studies should further investigate these complex relationships.
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