ArticleFrontiers in pharmacology2022
Prevalence of Heavy Menstrual Bleeding and Its Associated Cognitive Risks and Predictive Factors in Women With Severe Mental Disorders.
Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- Acute Vaginal Bleeding as the Initial Manifestation of Multifactorial Thrombocytopenia: A Case Report.Cureus · 2026Article
- The prevalence and burden of heavy menstrual bleeding, and market access barriers of medical interventions with a focus on low- and middle-income countries: a scoping review.BMC women's health · 2025Article
- Association of heavy menstrual bleeding with cardiovascular disease in US female hospitalizations.BMC medicine · 2024Article
- Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study.BMC women's health · 2023Article
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29 authors at 15 institutions in 1 country.
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Abstract
There has been limited studies examining treatment-induced heavy menstrual bleeding (HMB) in women with severe mental illnesses. The aim of this study was to examine HMB prevalence and HMB-associated factors in young women (18-34 years old) diagnosed with bipolar disorder (BP), major depressive disorder (MDD), or schizophrenia (SCZ) who have full insight and normal intelligence. Eighteen-month menstruation histories were recorded with pictorial blood loss assessment chart assessments of HMB. Multivariate analyses were conducted to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Drug effects on cognition were assessed with the MATRICS Consensus Cognitive Battery (MCCB). HMB prevalence were: BP, 25.85%; MDD, 18.78%; and SCH, 13.7%. High glycosylated hemoglobin (HbA1c) level was a strong risk factor for HMB [BP OR, 19.39 (16.60-23.01); MDD OR, 2.69 (4.59-13.78); and SCZ OR, 9.59 (6.14-12.43)]. Additional risk factors included fasting blood sugar, 2-h postprandial blood glucose, and use of the medication valproate [BP: OR, 16.00 (95%CI 12.74-20.22); MDD: OR, 13.88 (95%CI 11.24-17.03); and SCZ OR, 11.35 (95%CI 8.84-19.20)]. Antipsychotic, antidepressant, and electroconvulsive therapy use were minor risk factors. Pharmacotherapy-induced visual learning impairment was associated with HMB [BP: OR, 9.01 (95%CI 3.15-13.44); MDD: OR, 5.99 (95%CI 3.11-9.00); and SCZ: OR, 7.09 (95%CI 2.99-9.20)]. Lithium emerged as a protective factor against HMB [BP: OR, 0.22 (95%CI 0.14-0.40); MDD: OR, 0.30 (95%CI 0.20-0.62); and SCZ: OR, 0.65 (95%CI 0.33-0.90)]. In SCZ patients, hyperlipidemia and high total cholesterol were HMB-associated factors (ORs, 1.87-2.22). Psychiatrist awareness of HMB risk is concerningly low (12/257, 2.28%). In conclusion, prescription of VPA should be cautioned for women with mental illness, especially BP, and lithium may be protective against HMB.
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