New Insights in Perinatal Depression: Neuroplasticity and Psycho-Social Factors DOI Creative Commons
Sijia Liu, Guolin He, Bochao Cheng

et al.

Journal of Integrative Neuroscience, Journal Year: 2024, Volume and Issue: 23(12)

Published: Dec. 4, 2024

Language: Английский

Genetic contributions to premenstrual symptoms: revisiting the role of the ESR1 gene DOI Creative Commons
Angelika Lahnsteiner, Esmeralda Hidalgo-Lopez, Isabel Noachtar

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Premenstrual dysphoric disorder (PMDD) and its subclinical form categorized as premenstrual syndrome (PMS), are severe mood disorders characterized by cyclical depressive symptoms, anxiety, irritability, other functional impairments, impacting a broad range of women during the late luteal phase. The estrogen receptor 1 ( ESR1) gene encodes alpha (ERα) which plays critical role in mediating signaling regulates various physiological psychological processes. In this study, we investigated relationship between six single nucleotide polymorphisms (SNPs) intron 4 ESR1 symptom severity, emphasizing symptom- genotype associations SNP interactions. Results demonstrated that specific SNPs were linked to distinct profiles, such difficulty concentrating, sleep disturbances. Interactions revealed both risk-enhancing protective effects. These findings suggest symptoms may stem from genotype-linked reduced sensitivity ovarian hormones, providing foundation for future research.

Language: Английский

Citations

0

Prämenstruelle dysphorische Störung DOI

Christine Kühner,

Sibel Nayman

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Citations

0

Association between maternal overprotection and premenstrual disorder: a machine learning based exploratory study DOI Creative Commons
Kiyomi Tsuyuki, Miho Egawa, Takuma Ohsuga

et al.

BioPsychoSocial Medicine, Journal Year: 2025, Volume and Issue: 19(1)

Published: Feb. 24, 2025

Abstract Background Premenstrual disorder (PMD), which includes premenstrual syndrome and dysphoric disorder, has a complex pathogenesis may be closely related to emotional cognition memory. However, the mechanisms underlying these associations remain unclear. Therefore, this study used machine learning explore roles of various factors that are not typically considered risk-factors for PMD. Methods A predictive model PMD was constructed using dataset questionnaire responses heartrate variability data collected from 60 participants during their follicular luteal phases. Based on Japanese version Symptom Screening Tool, binary objective variable (PMD status) defined as “PMD” moderate-to-severe other conditions “non-PMD.” The contribution each feature assessed Shapley Additive exPlanations (SHAP) model-interpretation framework. Results Of 58 (providing 117 points), 17 (34 points) were in group 41 (83 non-PMD group. area under receiver operating characteristic curve 0.90 (95% confidence interval: 0.82–0.98). Among top 20 features with highest SHAP values, six associated maternal bonding. Four mother-related characteristics overprotection. Conclusions findings, parental bonding experiences, including overprotection, presence

Language: Английский

Citations

0

Assessing brain morphological correlates of premenstrual symptoms in young healthy females DOI Creative Commons

S. Marjanovic,

Madelene Christin Holm Bukhari,

Rikka Kjelkenes

et al.

Journal of Affective Disorders Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100916 - 100916

Published: April 1, 2025

Language: Английский

Citations

0

Development and validation of the premenstrual dysphoric disorder scale in Indian females DOI Creative Commons

Asmita Jain,

Manoj K. Pandey,

TS Sathyanarayana Rao

et al.

Indian Journal of Psychiatry, Journal Year: 2024, Volume and Issue: 66(10), P. 929 - 937

Published: Oct. 1, 2024

Premenstrual dysphoric disorder is a mood that has been recognized in the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition (DSM-5) as subcategory of depressive disorders. The high prevalence rate, yet no uniform measure standardized on Indian population.

Language: Английский

Citations

1

Combined mind-body intervention for premenstrual dysphoric disorder: A randomized controlled trial DOI
Hatice Abaoğlu,

Huri Şeyma Çiftçi,

Gamze Ekici

et al.

Health Care For Women International, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Feb. 12, 2024

In this study, we aimed to examine the effectiveness of relaxation training in women with PMDD through a randomized controlled design. Sixty-three were recruited and or control groups. The outcome measurements, administered at baseline post-training, included Premenstrual Symptoms Screening Tool (PSST), Hospital Anxiety Depression Scale (HADS), Nottingham Health Profile (NHP), Sheehan Disability (SDS). intervention group received 12 sessions training, including progressive muscle guided imagination. While there significant differences within group, no found group. Relaxation had positive effect on reducing premenstrual symptoms, anxiety, depression disability improving quality life PMDD. More research is necessary recommend as primary long-term treatment understand how it should be comprehensive plan.

Language: Английский

Citations

0

Development of a premenstrual syndrome scale for workplaces DOI Creative Commons

Chihiro Takenoshita,

Kisho Shimizu,

Miho Iida

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 19, 2024

Abstract We aimed to develop a new screening tool for premenstrual syndrome (PMS) be used in the workplace. In October 2021, we recruited 3,239 working women with menstruation via an internet research company and asked 47 questions about PMS-related symptoms. Of participants, 331 had experienced PMS (10%), 393 taken sick leave because of PMS-associated Explanatory factor analyses maximum likelihood Promax rotation identified four domains 27 items, including "Autonomic dysfunction symptoms'' (13 Cronbach’s α = 0.93), "Psychiatric symptoms" (6 0.94), "Lack work efficiency" (5 “Abdominal symptoms” (3 0.95). Using split-half sample confirmatory analysis, moderately fit model indices four-factor solution were confirmed. also confirmed developed scale’s criterion validity using existing criteria its concurrent through high correlation coefficients Copenhagen Burnout Inventory scores. The receiver operating characteristic curve yielded good predictive ability absenteeism, sensitivity 78%, specificity 57%, area under 0.735. A highly reliable valid scale was efficacy absenteeism.

Language: Английский

Citations

0

Assessing brain morphological correlates of premenstrual symptoms in young healthy females DOI Open Access

S. Marjanovic,

Madelene Christin Holm Bukhari,

Rikka Kjelkenes

et al.

Published: May 21, 2024

Although 90% of females with a menstrual cycle will experience premenstrual symptoms in their reproductive years, it is estimated that 20% treatment-warranted emotional, behavioral, or somatic the phase cycle. Premenstrual have been partly attributed to brain’s sensitivity cycle-related hormonal fluctuations, which may be modulated by individual differences structural characteristics brain. Studies continuous operationalizations symptom measures are needed characterize brain correlates symptoms. In population-based sample 292 non-pregnant aged 23-43 we tested for associations between self-reported load and T1-weighted MRI based cortical thickness, volume, surface area as well subcortical volumes. After corrections multiple comparison, linear models including age revealed significant positive volume left posterior cingulate cortex. These findings overlap previous morphological individuals PMS could possibly represent non-phase dependent correlate

Language: Английский

Citations

0

Clinical efficacy of gamma-oryzanol combined with Femoston for perimenopausal syndrome DOI Open Access

Yang-Yang Kuang,

Min-Qi Xiong,

Jin-Xia Cai

et al.

World Journal of Clinical Cases, Journal Year: 2024, Volume and Issue: 12(22), P. 4992 - 4998

Published: June 30, 2024

BACKGROUND Perimenopausal syndrome (PMS) is a chronic disease associated with estrogen deficiency. Because of the unsatisfactory outcomes current conventional treatments for this condition, its treatment must be continuously explored and optimized. AIM To assess clinical effectiveness γ-oryzanol in combination Femoston PMS. METHODS A total 119 patients PMS were selected from June 2023 to December 2023, which included 59 60 control observation group, respectively. The groups treated + Femoston, Comparative analyses performed terms effectiveness, safety (dizziness headache, nausea vomiting, breast tenderness), sex hormones [estradiol (E2), luteinizing hormone (LH), follicle-stimulating (FSH)], lumbar spine (L1–4) bilateral femoral bone mineral density (BMD), sleep quality (sleeping time frequency awakenings sleep). RESULTS Compared group had statistically higher effective rates treatment; lower overall incidence adverse events; post-treatment E2 levels L1–4 BMD; LH FSH levels, sleeping time, after treatment. CONCLUSION Therefore, PMS, combined significantly better than alone exhibiting more pronounced advantages improving safety, BMD, quality.

Language: Английский

Citations

0

Translation and Validation of the Premenstrual Symptoms’ Questionnaire in Mongolian language: A cross- sectional Study Among Nursing School students DOI

Dorjderem Choijiljav,

Tuya Sukhbat,

Shota Ogawa

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 11, 2024

Abstract Background Premenstrual disorders (PMDs) significantly affect women’s daily lives. This study evaluated the reliability and validity of Mongolian-translated Symptoms Questionnaire (PSQ) among female nursing students at Mongolian National University Medical Sciences. Methods cross-sectional was conducted from October 2022 to January 2023. The PSQ translated into its were assessed. A total 431 participants completed along with Dysphoric Disorder (PMDD) Scale, Somatic Symptom Scale (SSS-8), Patient Health (PHQ-9), Beck Anxiety Inventory (BAI). using Cronbach's alpha for internal consistency. assessed factor analysis correlations external measures. Results consistency is 0. 945. Factor supported tool’s construct validity, revealing a one-factor structure consistent that original Japanese PSQ. showed strong positive PMDD (r = 0.760), SSS-8 0.640), PHQ-9 0.580), BAI 0.620), indicating good convergent validity. Conclusion reliable valid tool assessing premenstrual symptoms in students. These findings suggest useful screening PMDs this population.

Language: Английский

Citations

0