ArticleMedicine2022
Patterns of premenstrual syndrome in collegiate women: A cross-sectional study.
Article in Medicine, 2022. 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.
- The effect of group counseling based on positive psychology on the WhatsApp social media platform on the severity of premenstrual syndrome symptoms: a randomized clinical trial.BMC women's health · 2024Trial
- Folate intake,The British journal of nutrition · 2025Article
- Hedonic hunger and food cravings: understanding their role in premenstrual syndrome among nursing students.Frontiers in public health · 2025Article
- Association between premenstrual syndrome and eating disturbance in college students: a cross-sectional study.BMC women's health · 2024Article
- A Survey of the Menstrual Status of Female College Students.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premenstrual syndrome (PMS) has a wide variety of symptoms. The classification of these symptoms into several patterns is useful for more effective tailor-made treatment. Therefore, our study aimed to examine the patterns of PMS by analyzing multiple factors to identify the characteristics of each pattern. This is a cross-sectional study. A total of 165 women (18.9 ± 1.0 years) were investigated by using of questionnaire about PMS, nutrition, physical activity, and other lifestyle traits. Then, the factor analysis was performed to classify the premenstrual symptoms, that is, the pattern of PMS. Additionally, logistic regression analysis was performed to identify the characteristics of each pattern, adjusted for age, body mass index, sleep duration, and caffeine intake. As the result, PMS was classified into 3 patterns. The type related to psychological symptoms such as depression, physiological symptoms, such as abdominal pain, and intermingled type, were labeled as affected, somatic, and mixed types, respectively. From the result of logistic regression analysis, self-rating depression scale scoring was marginally associated with affective type (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 0.99-1.16), physical activity was significantly associated with the mixed type (OR: 1.13, 95% CI: 1.00-1.28), and physical activity (OR: 1.20, 95% CI: 1.05-1.36) and some nutrients (OR: 0.56-1.00) were significantly associated with the somatic type. Understanding PMS and management of these complicated symptoms has been difficult. From the results of this study, the complicated symptoms were categorized into simpler patterns. Our findings may contribute to the understanding and possible management adjusted for each categorized case of PMS.
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