Survey study, 2026
Are there different types or patterns of PMDD among Chinese college students?
Yes. There are two patterns: one with severe emotional and physical symptoms, and another with milder symptoms. Women with painful periods were more likely to have the severe pattern.
What they did
A study of 669 Chinese female college students who completed questionnaires about PMDD, depression, and anxiety symptoms. Among them, 218 were identified as having PMDD. The researchers used statistical analysis to find patterns in the symptoms.
What they found
Two distinct patterns of PMDD emerged. The severe pattern had an average symptom score of 8.78 and included emotional symptoms like irritability, anxiety, and emotional instability, plus physical symptoms like fatigue, bloating, and pain. The mild pattern had an average score of 1.52 with milder versions of these symptoms. About 90% of individual symptoms showed clear differences between the two patterns. Painful periods (dysmenorrhea) were linked to the more severe pattern.
What it means for you
PMDD isn't one-size-fits-all. Some women experience much more severe symptoms than others, and those with painful periods tend to have more severe PMDD. This could help doctors identify and treat different patterns better.
8.78
Average score, severe PMDD
1.52
Average score, mild PMDD
90%
Symptoms with clear differences
About the study
- Original title
- Clinical Subtypes of Premenstrual Dysphoric Disorder Among Chinese College Students: A Latent Class Analysis
- Authors
- Yu Sun, Shanyi Huang, Y C Chen et al.
- Journal
- Perspectives In Psychiatric Care
- Year
- 2026
- Study design
- Survey study
- Participants
- 669
- Open access
- Yes
- Read the paper
- doi.org/10.1155/ppc/5276137
Original abstract
Objective Premenstrual dysphoric disorder (PMDD) is highly prevalent among women of reproductive age. However, the heterogeneity and complexity of PMDD symptoms present considerable challenges for accurate diagnosis. This study aims to investigate the heterogeneity of symptoms among Chinese female college students to identify clinical subtypes based on PMDD symptomatology. Methods A total of 669 Chinese female college students participated in the study and were assessed using a standardized set of questionnaires, including the Chinese version of CTDP‐DSM‐5 (CTDP‐C), the Patient Health Questionnaire‐9 (PHQ‐9), and the General Anxiety Disorder‐7 (GAD‐7). A total of 218 participants were identified as PMDD‐positive based on the Chinese version of the CTDP‐DSM‐5. Latent class analysis (LCA) was conducted on the CTDP‐C scores of the 218 participants diagnosed with PMDD to empirically evaluate the validity of proposed PMDD subtype classifications. Results LCA identified two distinct phenotypic subtypes of PMDD. Class 1 (severe subtype; mean CTDP‐C score = 8.78) was characterized by a range of comorbid psychological symptoms (e.g., emotional lability, irritability, and anxiety) as well as physical manifestations (e.g., fatigue, bloating, and pain). In contrast, Class 2 (mild subtype; mean CTDP‐C score = 1.52) exhibited attenuated and atypical symptoms. Notably, significant differences were observed between the two classes in 90% of the CTDP‐C items ( p < 0.001). Physical comorbidities, especially dysmenorrhea ( p < 0.001), were identified as key contributing factors, suggesting potential shared pathophysiological mechanisms. Conclusions Two distinct subtypes of PMDD were identified: one characterized by severe symptoms and the other by milder manifestations, with either psychological or physical symptoms predominating, or a combination of both. Further investigation into the heterogeneity of PMDD is crucial to delineate more distinct phenotypes, which will facilitate advancements in future biological and genetic research.
Reproduced under CC-BY.
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