Peer-reviewed article
Psychosocial and menstrual correlates of premenstrual disorders: A community-based study.
Itoi S, Sampei M, Tatsumi T, Osuga Y, Koga K et al. ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study examines premenstrual syndrome and premenstrual dysphoric disorder in adults using data from a menstrual tracking application. It identifies associations with psychosocial factors, stress, sleep quality, and menstrual characteristics. The research does not focus on children's well-being and is not within the scope of child studies.
Key points
Limitations
This document is not relevant to child well-being research. The study population consists of adult menstruating individuals, not children.
Abstract
Objective To assess the background, psychosocial, and menstrual factors associated with premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) in a community-based cohort. Methods A prospective cohort study was conducted using data from users of a menstrual tracking application. Participants were classified into control, PMS, or PMDD groups based on responses to the Japanese version of the premenstrual symptoms screening tool (PSST). Primary outcomes included background factors (e.g., healthcare literacy, stress coping), psychosocial measures (psychological distress, sleep quality, and work-home balance), and menstrual characteristics (average cycle length [CL], CL variability, abnormal cycle length, and menstrual symptoms). Age-adjusted multinomial logistic regression models were used to examine associations. Results A total of 7227 individuals were included; 23% met criteria for PMS and 10% for PMDD. Both PMS and PMDD were associated with younger age, smoking history (current and past), more adverse childhood experiences, lower healthcare literacy, and higher maladaptive coping scores. PMDD was additionally linked to being married and co-residing with children, while PMS was associated with alcohol consumption. Both groups reported higher levels of psychological distress, poor sleep quality, and negative work-home balance. Although the prevalence of abnormal cycle length did not differ between groups, menstrual symptom burden was greater in both PMS and PMDD. Conclusion Premenstrual disorders are associated with a wide range of sociodemographic and psychosocial difficulties. Although menstrual irregularities were similar across groups, menstrual symptom burden was markedly higher. These findings underscore the need for targeted, multidisciplinary support.