ArticleScientific reports2025
Association between sleep quality and premenstrual syndrome in young women in a cross-sectional study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Novel dietary FemTech based on dietary reference intakes for premenstrual and menstrual disorders: a pilot open-label randomized controlled trial of dietary intervention.BMC women's health · 2026Trial
- Premenstrual Disorders in Adolescents: An Interdisciplinary Perspective.Journal of clinical medicine · 2026Review
- A proposed interplay between intermittent fasting and sleep quality in alleviating premenstrual syndrome symptoms.European journal of clinical nutrition · 2026Article
- Relationships Between Sleep Quality, Perceived Stress, and Premenstrual Syndrome Among Medical and Nursing Students: A Cross-Sectional Study in Palestine.Healthcare (Basel, Switzerland) · 2026Article
- Prevalence of premenstrual syndrome among students and the association of social media addiction with its severity in Hamadan: a cross-sectional study.BMC psychiatry · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Sleep disorders are recognized as one of the significant risk factors for premenstrual syndrome (PMS). Therefore, this study aimed to identify the relationship between sleep quality and PMS symptoms among young women. In this cross-sectional study, 252 women from health centers of Qazvin province participated according to the inclusion criteria. The data of premenstrual symptoms and sleep quality was received through online premenstrual symptoms screening (PSST) and the Pittsburgh Sleep Quality Index (PSQI) questionnaires. For analyzing data, ANOVA and chi-square tests were used to evaluate quantitative and qualitative variables. Sampling adequacy was assessed using the Kaiser-Meyer-Olkin (KMO) test. According to the PSST, 28.7% of individuals experienced mild severity, 21.9% experienced moderate severity, and 49.4% experienced severe severity. The correlation between PSQI and PSST showed a significant relationship (p < 0.05) with anger/temper, anxiety/tension, crying/sensitivity to negative responses, depressed mood/disappointment, and fatigue/lack of energy. Based on the results, it has been established that there is a notable correlation between the quality of sleep and the severity of PMS symptoms. This underscores the crucial role of sleep in the management of PMS.
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