ArticleActa obstetricia et gynecologica Scandinavica2026
Sociodemographic and occupational risk factors for premenstrual mood disorders among female workers.
Article in Acta obstetricia et gynecologica Scandinavica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Association Between Pregnancy Hope and Premenstrual Dysphoric Disorder Among Female Workers: A Cross-Sectional Online Survey in Japan.Neuropsychopharmacology reports · 2026Article
- Sociodemographic and occupational risk factors for premenstrual mood disorders among female workers.Acta obstetricia et gynecologica Scandinavica · 2026Article
Corrections and comments
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3 authors.
Funding
Abstract
introductionPremenstrual 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
methodsThis 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.
resultsAmong 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.
conclusionsSociodemographic 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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