ReviewWorld journal of psychiatry2025
Unmasking the cycle: Premenstrual and menstrual exacerbation of psychiatric disorders and impact on female mental health.
Review in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Premenstrual Disorders in Adolescents: An Interdisciplinary Perspective.Journal of clinical medicine · 2026Review
- The Menstrual Distress Questionnaire (MEDI-Q): reliability and validity of the German version.BMC women's health · 2026Article
- Global Burden of Premenstrual Syndrome and Uterine Fibroids in Women of Reproductive Age (1990-2023) and Projections to 2050: An Analysis of the Global Burden of Disease Study 2023.Health science reports · 2026Article
- Stratified Psychosocial Care in Assisted Reproductive Technologies: A Narrative Review and Conceptual Framework Across the IVF Pathway.Journal of clinical medicine · 2026Review
- Relationships Between Sleep Quality, Perceived Stress, and Premenstrual Syndrome Among Medical and Nursing Students: A Cross-Sectional Study in Palestine.Healthcare (Basel, Switzerland) · 2026Article
- The role of neuroactive steroids in psychiatric and neurological disorders: Neurobiology and therapeutic perspectives.Neuroscience and biobehavioral reviews · 2025Review
- The Application of Gamma-Range Auditory Steady-State Responses in Animal Models: A Semi-Structured Literature Review.Brain sciences · 2025Review
- Case Report: Metabolic, inflammatory, and neurological improvements after a ketogenic diet in a woman with treatment-resistant schizophrenia and metabolic syndrome.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premenstrual and menstrual exacerbation of psychiatric disorders is a significant area of concern in female mental health. Many females experience a worsening of psychiatric symptoms in the premenstrual and menstrual phases of their menstrual cycle, including heightened anxiety, depression, irritability, and mood swings. These exacerbations are most commonly associated with premenstrual syndrome and premenstrual dysphoric disorder that are characterized by severe emotional and physical symptoms that interfere with daily functioning. The hormonal fluctuations during the menstrual cycle, particularly changes in estrogen and progesterone levels, are believed to play a pivotal role in these exacerbations. Psychiatric disorders such as depression, anxiety, bipolar disorder, and schizophrenia may be influenced by these hormonal changes, with many females reporting an increase in symptom severity during specific phases of the cycle. The mechanisms behind this phenomenon remain complex, with both biological and psychosocial factors contributing to the heightened vulnerability. Clinical management includes careful monitoring of symptom patterns in relation to the menstrual cycle, with treatment options ranging from lifestyle modifications and psychotherapy to pharmacological interventions such as antidepressants and hormonal therapies. Understanding the link between menstruation and psychiatric disorders is essential for improving diagnosis and tailoring effective treatment strategies for affected individuals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.