If you've noticed that your premenstrual symptoms feel worse when you're already struggling with anxiety or depression, this study offers some scientific backing for that experience. Researchers surveyed 624 female university students in Iran and found a strong link between the severity of premenstrual symptoms and levels of anxiety and depression.
Among the students, about 52% experienced moderate premenstrual symptoms and nearly 15% had severe symptoms. The study found that as anxiety levels increased, the chance of having more severe premenstrual symptoms went up by about 51%. For depression, each step up in severity raised the risk of worse premenstrual symptoms by about 41%. Sleep also played a role — students who slept more than 9 hours per night were more likely to report severe symptoms.
The researchers suggest that anxiety and depression don't just accompany premenstrual symptoms — they may actually make them worse. This could be because hormonal changes during the luteal phase (the two weeks before your period) affect brain chemicals like serotonin that regulate mood, and having existing anxiety or depression may make you more sensitive to those changes.
While this study focused on PMS rather than PMDD specifically, the overlap matters. The screening tool used can identify both conditions, and severe PMS shares many features with PMDD. One important takeaway is the researchers' recommendation that mental health screening should be part of managing premenstrual conditions. Because this was a snapshot study rather than one that followed people over time, it can't prove that anxiety or depression directly cause worse symptoms — but it does highlight how closely these experiences are connected. If you're dealing with both mood challenges and difficult premenstrual symptoms, talking to a healthcare provider about addressing both together could be worth exploring.
Key findings
- Prevalence of PMS by DSM-5 criteria: 33.4% mild, 52% moderate, and 14.6% severe among 624 female university students in Ilam, Iran
- In multivariate ordinal logistic regression, each increase in depression severity level raised PMS risk by 41% (OR = 1.41, 95% CI [1.21, 1.65], P < 0.001)
- Each increase in anxiety severity level raised PMS risk by 51% (OR = 1.51, 95% CI [1.29, 1.76], P < 0.001)
- Sleeping more than 9 hours per night was an independent risk factor for PMS severity (OR = 1.40, 95% CI [1.11, 1.77], P = 0.005)
- Strong positive correlations were found between PMS severity and anxiety (r = 0.58) and depression (r = 0.51)
- AUC for anxiety predicting PMS severity was 0.81 (excellent discrimination) and 0.76 for depression (acceptable discrimination), with optimal cutoff scores of 9 for anxiety and 11 for depression
Methods, briefly
Cross-sectional study of N=624 female university students in Ilam, Iran, recruited April–September 2024. PMS was measured using the Premenstrual Symptoms Screening Tool (PSST) and classified by DSM-5 criteria into mild, moderate, and severe. Anxiety and depression were assessed using the DASS-42. Data collected online. Statistical analysis used ordinal logistic regression (OLR), ROC/AUC analysis, chi-square tests, and ANOVA. Proportional odds assumption was satisfied.
Limitations to keep in mind
- Cross-sectional design prevents establishing causal relationships between PMS and psychological symptoms
- Sample limited to female university students in one Iranian city (Ilam), limiting generalizability
- Self-report questionnaires may introduce reporting bias
- Online data collection without formal informed consent forms (deemed unnecessary per local ethics committee)
- No prospective tracking of symptoms across menstrual cycles to confirm cyclical patterns
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