Association between sleep quality and premenstrual syndrome in young women in a cross-sectional study

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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Publication Details

Journal
Scientific Reports
Published
2025-02-20
DOI
https://doi.org/10.1038/s41598-025-90581-4
Citations
4
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
7.51
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Association between sleep quality and premenstrual syndrome in young women in a cross-sectional study

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Association between sleep quality and premenstrual syndrome in young women in a cross-sectional study

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article en
4 citations

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.

Scientific ReportsVol. 15(1)
Qazvin University of Medical Sciences (IR)
Gender equality
Openalex Percentile: Top 3%
Menstrual Health and Disorders
7.51
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