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Background: The liver plays an important role in gonadal steroid hormone metabolism, which can affect reproductive health, including the menstrual cycle. However, evidence from large population-based studies is limited. Therefore, this study aimed to investigate the association between liver function markers and menstrual cycle irregularities in premenopausal Korean women using nationwide data.
Methods: This study analyzed Data from the Korea National Health and Nutrition Examination Survey 2010-2011. We investigated 3,045 premenopausal women aged 19-59 years. Liver function markers including serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase, and fatty liver index were analyzed. Multivariable logistic regression analysis was performed to investigate the association between liver function markers and menstrual cycle irregularity while adjusting for confounding factors. Values were presented as odds ratios (ORs) with 95% confidence intervals (CIs). Subgroup analysis was also performed.
Results: Baseline characteristic analysis showed that approximately 14.4% of the study population experienced menstrual cycle irregularity. The mean age was 34.5±0.7 years. The highest quartile of serum ALT and AST levels showed significantly higher ORs for menstrual cycle irregularity (adjusted OR, 1.83; 95% CI, 1.26-2.64 and adjusted OR, 1.67; 95% CI, 1.17-2.39, respectively). A similar result was observed in the subgroup analysis.
Conclusion: Liver function markers were positively associated with menstrual cycle irregularities. In clinical settings, women of reproductive age with relatively decreased liver function should be considered for regular followup of their reproductive health status.
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http://dx.doi.org/10.4082/kjfm.23.0181 | DOI Listing |
Contraception
September 2025
Bayer Aktiengesellschaft, Wuppertal - Aprath, Germany.
Objective: This study aimed to validate the real-world performance of the MyIUS mobile-application algorithm in predicting bleeding intensity and regularity in levonorgestrel intrauterine device (LNG-IUD) 52 mg, 19.5 mg, and 13.5 mg users following device insertion.
View Article and Find Full Text PDFFertil Steril
September 2025
ART Fertility Clinic, Royal Marina Village, B22-23, Abu Dhabi, UAE.
Objective: To compare the impact of luteal-phase ovarian stimulation on embryo count, embryo ploidy, and embryo quality to that of follicular-phase stimulation.
Design: Retrospective cohort study between 03/2017 and 11/2024.
Subjects: Women who underwent an ovarian stimulation, commenced either in the follicular or the luteal phase of the menstrual cycle.
Am J Reprod Immunol
September 2025
Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden.
Problem: Various chemokines have been linked to endometriosis. Notably, chemokines such as CCL2, CXCL8, and CXCL1 have also been shown to promote nociception. In this study, we investigated whether increased serum concentrations and endometrial expression of chemokines (specifically CCL2, CXCL8, and CXCL1) are associated with heightened severity of pain symptoms in women with endometriosis.
View Article and Find Full Text PDFBiology (Basel)
August 2025
Applied Cognitive Neuroscience Lab, Department of Neurophysiology, Neuropsychology and Neuroinformatics, Medical University of Gdansk, 80-211 Gdansk, Poland.
Sex hormones' and menstrual cycle's effects on cognitive performance remain unclear. This study examined cognitive differences between women across menstrual cycle phases, sex differences between women and men, and hormone-cognition associations. In total, 71 healthy young adults, aged 20-36 (42 women, 29 men), completed standardised cognitive tests measuring attention, processing speed, working memory, and visuospatial abilities.
View Article and Find Full Text PDFPsychoneuroendocrinology
August 2025
Department of Psychiatry, University of Illinois Chicago, United States.
Despite decades of research, there is no scientific consensus method for representing the menstrual cycle as a continuous timeline. Common phase- and count-based methods oversimplify hormonal dynamics and overlook individual variability in ovulation timing, reducing statistical power and misaligning trajectories. To address this, we introduce Phase-Aligned Cycle Time Scaling (PACTS) and its companion R package, `menstrualcycleR`, which generates continuous time variables anchored to both menses and ovulation, improving alignment of hormonal dynamics across individuals and cycles in an accessible, reproducible way.
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