Authors
Yejin Kim, Taewoong Jeong, Yijung Chung
Published in
Women's health (London, England). Volume 22. Pages 17455057261495670. Epub Oct 10, 2026.
Abstract
BackgroundThis study investigated variables associated with Premenstrual Syndrome (PMS) and Menstrual Pain in women of childbearing age to provide foundational data for improving quality of life.ObjectivesThis study aimed to examine variables associated with premenstrual syndrome and menstrual pain among women of childbearing age.DesignA cross-sectional descriptive survey design was used.MethodsA survey of 245 women of childbearing age in the metropolitan area was conducted using online questionnaires. The data were analyzed with independent t-tests, one-way ANOVA, and multiple regression to identify factors associated with premenstrual syndrome and menstrual pain.ResultsIn the bivariate analyses, sleep quality, perceived daily stress, menstrual flow, analgesic use frequency, timing of severe menstrual pain, family history of perimenstrual discomfort, depression (CES-D), and perceived stress (PSS) were significantly associated with both PMS and menstrual pain (p < 0.05). In the multiple regression analyses, PMS was associated with VAS (B = 5.180, 95% CI: 3.33 to 7.03), CES-D (B = 1.395, 95% CI: 0.97 to 1.82), family history of perimenstrual discomfort (B = 9.987, 95% CI: 1.12 to 18.86), and timing of severe menstrual pain on Day 1 (B = -15.153, 95% CI: -24.43 to -5.88) or Day 2 (B = -12.210, 95% CI: -23.96 to -0.46). Menstrual pain was associated with MDQ (B = 0.014, 95% CI: 0.008 to 0.02), family history of perimenstrual discomfort (B = 0.996, 95% CI: 0.51 to 1.48), age (B = -0.057, 95% CI: -0.10 to -0.02), perceived daily stress, analgesic use frequency, and coping method for menstrual pain (p < 0.05).ConclusionIn this study, psychological and menstrual-related variables, including depression, perceived stress, family history of perimenstrual discomfort, PMS, and menstrual pain intensity, were associated with menstrual symptoms among women of childbearing age. These findings should be interpreted as associations rather than causal relationships.
PMID:
42858226
Bibliographic data and abstract were imported from PubMed on 11 Oct 2026.
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