Psychiatric Symptoms Across the Menstrual Cycle in Adult Women: A Comprehensive Review

'It's a Horrible Place to Have a Period': A Survivor-Led Investigation of Experiences of Menstrual Health in Psychiatric Inpatient Settings in England

This study examined patients' experiences of menstrual health in psychiatric inpatient settings in England as reported by staff and patients. Questionnaires were conducted with 67 staff members and 101 people with lived experience of menstruation and treatment on a psychiatric ward. 10 semi-structured interviews were conducted with people with lived experience. Data were analysed using reflexive thematic analysis. Grouped into overarching themes of institutional and interpersonal environments, four themes were identified: access to menstrual materials; the lack of privacy when menstruating in psychiatric inpatient settings; attitudes and approaches to menstruation; and menstrual support needs and care provision. There was variation among the experiences reported, with some patients receiving dignified care, whilst others described facing 'degrading' and 'dehumanising' treatments and enhanced feelings of shame and embarrassment around menstruation, in comparison with what they usually experience. This appeared to arise due to the interplay between mental health services overlooking menstruation and the overreliance on restrictive practices. These experiences may be understood as menstrual injustices, period poverty, potentially amounting to neglect and posing iatrogenic harms. Participants also discussed how their mental illness and distress, particularly within the context of trauma and/or eating disorders, shaped their menstrual experiences. However, many patients did not receive adequate support in relation to this. Patients' pain and disorder related to menstruation, or gynaecological conditions, was often described as being dismissed by staff or being viewed as beyond the responsibility of mental health services. This study highlighted the urgency for actions to be taken to provide greater support for patients who menstruate in psychiatric inpatient settings.

Effects of oral contraceptive pills on brain networks: A replication and extension

Neuroimaging research has identified significant effects of oral contraceptive pills (OCPs) on brain networks. A wide variety of approaches have been employed, largely in observational samples, with few converging results. This study therefore was designed to test for replication and extend this previous work using a randomized, double-blind, placebo-controlled crossover trial of the effects of OCPs on brain networks. Using functional MRI, we focused on brain regions identified in prior studies. Our analyses did not strictly replicate previously reported effects of OCPs on functional connectivity. Exploratory analyses suggested that traditional seed-based approaches may miss broader, network-level effects of OCPs on brain circuits. We applied data-driven, multivariate techniques to assess these network-level changes, A deeper understanding of neural effects of OCPs can be important in helping patients make informed decisions regarding contraception, mitigating unwanted side effects. Such information can also identify potentially confounding effects of OCPs in other neuroimaging investigations.

Prevalence and Correlations of Premenstrual Dysphoric Disorder: A Sample of Adult Working Women

BACKGROUND

Premenstrual dysphoric disorder (PMDD) represents a significant psychiatric condition affecting women of reproductive age. It is characterized by cyclical emotional and physical symptoms that considerably impair psychosocial functioning. This study aims to investigate the prevalence of PMDD among adult working women and identify associated etiological factors.

METHODS

From January 2022 to March 2022, a cross-sectional study utilizing cluster sampling methodology was conducted to investigate the prevalence of PMDD among adult working women in six communities in Hangzhou (China). A total of 1710 participants were selected for research through a questionnaire-based survey. To elucidate the factors associated with PMDD, logistic regression analysis was employed.

RESULTS

Among 1710 working women, 52 had PMDD, representing an incidence of 3.04%. Age (odds ratio (OR) = 3.196, p = 0.002), age at menarche (OR = 0.362, p = 0.011), income (OR = 0.449, p = 0.043), menstrual cycle (OR = 2.352, p = 0.022), menstrual symptoms (OR = 0.317, p = 0.003), physical activity (OR = 2.234, p = 0.028), and caffeine intake (OR = 2.318, p = 0.022) were independent influencing factors of PMDD in adult working women.

CONCLUSIONS

The study highlights that PMDD, which has a prevalence of 3.04% in the surveyed population, is a notable concern among adult working women. Key factors, such as age, age at menarche, income level, menstrual cycle characteristics, menstrual symptom presence, physical activity, and caffeine intake, significantly contribute to the likelihood of developing PMDD. These findings underscore the importance of recognizing and monitoring the above risk factors by clinicians to identify and manage PMDD in working women.

Estrogenic control of reward prediction errors and reinforcement learning

Gonadal hormones act throughout the brain 1 , and neuropsychiatric disorders vary in symptom severity over the reproductive cycle, pregnancy, and perimenopause 2-4 . Yet how hormones influence cognitive processes is unclear. Exogenous 17 β -estradiol modulates dopamine signaling in the nucleus accumbens core (NAcc) 5,6 , which instantiates reward prediction errors (RPEs) for reinforcement learning 7-16 . Here we show that endogenous 17 β -estradiol enhances RPEs and sensitivity to previous rewards by reducing dopamine reuptake proteins in the NAcc. Rats performed a task with different reward states; they adjusted how quickly they initiated trials across states, balancing effort against expected rewards. NAcc dopamine reflected RPEs that predicted and causally influenced initiation times. Elevated endogenous 17 β -estradiol increased sensitivity to reward states by enhancing dopaminergic RPEs in the NAcc. Proteomics revealed reduced dopamine transporter expression. Finally, knockdown of midbrain estrogen receptors suppressed reinforcement learning. 17 β -estradiol therefore controls RPEs via dopamine reuptake, mechanistically revealing how hormones influence neural dynamics for motivation and learning.

Current Ovulation and Luteal Phase Tracking Methods and Technologies for Fertility and Family Planning: A Review

Ovulation is critical for both conception and overall health, but many people who may ovulate are not tracking ovulation or any other part of their menstrual cycle. Failure to track ovulation, especially in those trying to conceive, can lead to fertility challenges due to absent ovulation, mistiming intercourse, or an undetected luteal phase defect. Ovulatory disorders and mistiming intercourse are both primary causes of infertility, and tracking ovulation is shown to decrease the average time to conception. While there are many tracking methods and apps available, the majority are predictive apps or ovulation predictor kits and do not test or track both successful ovulation and the health of the luteal phase, leading to missing information that could contribute to diagnosis or successful conception. Here, we review why ovulation tracking and a healthy luteal phase are important for those trying to conceive. We present currently available ovulation tracking methods that detect both ovulation and the luteal phase, including cervical mucus, urinary hormone testing, and basal body temperature, and discuss the use, advantages, and disadvantages of each. Finally, we consider the role of digital applications and tracking technologies in ovulation tracking.

Mental Health Across the Menstrual Cycle in Polycystic Ovary Syndrome: Insights and Implications

PURPOSE OF REVIEW

We reviewed a wide body of emerging research highlighting the possibility for premenstrual exacerbations of mood symptoms in polycystic ovary syndrome (PCOS).

RECENT FINDINGS

Neuroendocrine dysregulation, sensitivity to ovarian hormone fluctuations as well as higher levels and types of adverse childhood experiences and demographic factors are emerging factors explaining high rates of psychiatric disorders in PCOS. Ovulatory dysfunction, common in PCOS, significantly interferes with one's identity and quality of life. Results on pharmacologic and non-pharmacologic treatments for mood symptoms are mixed, though improvements in the physical sequalae of PCOS could also improve mood symptoms. However, significant improvements on the methodological quality are needed, particularly the evaluation of mood symptoms across the menstrual cycle. Evidence is preliminary on whether there are premenstrual exacerbations of psychiatric symptoms in PCOS. Prospective, longitudinal studies with larger sample sizes are needed to comprehensively understand the psychiatric profile in PCOS.

Menstrual cycle-driven hormone concentrations co-fluctuate with white and gray matter architecture changes across the whole brain

Cyclic fluctuations in hypothalamic-pituitary-gonadal axis (HPG-axis) hormones exert powerful behavioral, structural, and functional effects through actions on the mammalian central nervous system. Yet, very little is known about how these fluctuations alter the structural nodes and information highways of the human brain. In a study of 30 naturally cycling women, we employed multidimensional diffusion and T1-weighted imaging during three estimated menstrual cycle phases (menses, ovulation, and mid-luteal) to investigate whether HPG-axis hormone concentrations co-fluctuate with alterations in white matter (WM) microstructure, cortical thickness (CT), and brain volume. Across the whole brain, 17β-estradiol and luteinizing hormone (LH) concentrations were directly proportional to diffusion anisotropy (μFA; 17β-estradiol: β1 = 0.145, highest density interval (HDI) = [0.211, 0.4]; LH: β1 = 0.111, HDI = [0.157, 0.364]), while follicle-stimulating hormone (FSH) was directly proportional to CT (β1 = 0 .162, HDI = [0.115, 0.678]). Within several individual regions, FSH and progesterone demonstrated opposing relationships with mean diffusivity (Diso) and CT. These regions mainly reside within the temporal and occipital lobes, with functional implications for the limbic and visual systems. Finally, progesterone was associated with increased tissue (β1 = 0.66, HDI = [0.607, 15.845]) and decreased cerebrospinal fluid (CSF; β1 = -0.749, HDI = [-11.604, -0.903]) volumes, with total brain volume remaining unchanged. These results are the first to report simultaneous brain-wide changes in human WM microstructure and CT coinciding with menstrual cycle-driven hormone rhythms. Effects were observed in both classically known HPG-axis receptor-dense regions (medial temporal lobe, prefrontal cortex) and in other regions located across frontal, occipital, temporal, and parietal lobes. Our results suggest that HPG-axis hormone fluctuations may have significant structural impacts across the entire brain.

How do phases of the menstrual cycle affect sleep? A polysomnographic study of the EPISONO database

PURPOSE

Our study aimed to evaluate the impact of the menstrual cycle stages, especially menses, on sleep, inflammatory mediators, fatigue, anxiety, depression, and quality of life.

METHODS

We used data from the EPISONO study cohort, selecting 96 women who had undergone one-night polysomnography. The women were distributed in three groups according to the time point of the menstrual cycle on the polysomnography night: menses, mid/late follicular phase, and luteal phase. The volunteers completed questionnaires related to sleep quality, daytime sleepiness, insomnia, fatigue, anxiety, depression, and quality of life. Blood samples were collected to analyze interleukin 6, tumor necrosis factor-alpha, and C-reactive protein.

RESULTS

Sleep efficiency was statistically higher in women in the mid/late follicular group (89.9% ± 9.6) compared to menstrual (83.0% ± 10.8) and luteal (83.7% ± 12.7) groups. The mid/late follicular group presented a statistically significant reduction in sleep onset latency (7.1 ± 7.1 min) compared to the menstrual (22.3 ± 32.4 min) and luteal groups (15.9 ± 14.7 min). No statistical differences among the three groups were observed in other polysomnographic parameters, inflammatory mediators, daytime sleepiness, insomnia, fatigue, anxiety, depression, and quality of life.

CONCLUSIONS

Our findings demonstrate that the mid/late follicular phase might be beneficial for women's sleep, although there were no statistically changes in inflammatory mediators among the groups.

Time after time: failure to identify and support females with ADHD - a Swedish population register study

BACKGROUND

Attention deficit hyperactivity disorder (ADHD) is associated with risk taking and negative health-related outcomes across the lifespan. Due to delay in referral and diagnostics, young females with ADHD may not be identified, nor appropriately supported by adequate interventions.

METHODS

A total of 85,330 individuals with ADHD, all of whom were residents in Stockholm County between January 01, 2011, and December 31, 2021, were included as participants in this population-based, cross-sectional cohort study. Population controls (n = 426,626) were matched by age, sex, and socioeconomic status (SES). Data was obtained from Regional Healthcare Data Warehouse of Region Stockholm (VAL) in Stockholm County. Exposure was ADHD-index, defined as the first record of either ICD-10 F90 diagnosis and/or ATC-code for stimulant or non-stimulant ADHD-medication during the study period. Primary outcome was age at ADHD-index. Secondary outcome measures were psychiatric comorbidity, pharmacological treatment, and health care utilization, prior to and after ADHD-index.

RESULTS

Females were older at ADHD-index (23.5 years, SD 13.8) compared to males (19.6 years, SD 13.9, 95% CI of difference 3.74-4.11). Overall, females with ADHD showed higher rates of psychiatric comorbidity, pharmacological treatment, and health care utilization, compared to males with ADHD and female controls.

CONCLUSIONS

Females with ADHD receive diagnosis and treatment for ADHD approximately 4 years later than males. They have a higher burden of comorbid psychiatric conditions and health care utilization, compared to males with ADHD and female controls, both prior to and after ADHD-index. To prevent long-term adverse consequences for females with ADHD, methods, and tools for early diagnosis and treatments that mitigate personal suffering and societal burden are warranted.

Associations of Menstrual Cycle and Progesterone-to-Estradiol Ratio With Alcohol Consumption in Alcohol Use Disorder: A Sex-Separated Multicenter Longitudinal Study

OBJECTIVE

Alcohol use disorder (AUD) constitutes a critical public health issue and has sex-specific characteristics. Initial evidence suggests that progesterone and estradiol might reduce or increase alcohol intake, respectively. However, there is a need for a better understanding of how the menstrual cycle in females and the ratio of progesterone to estradiol in females and males influence alcohol use patterns in individuals with AUD.

METHODS

In this sex-separated multicenter longitudinal study, the authors analyzed 12-month data on real-life alcohol use (from 21,460 smartphone entries), menstrual cycle, and serum progesterone-to-estradiol ratios (from 667 blood samples at four individual study visits) in 74 naturally cycling females and 278 males with AUD between 2020 and 2022, using generalized and general linear mixed modeling.

RESULTS

Menstrual cycle phases were significantly associated with binge drinking and progesterone-to-estradiol ratio. During the late luteal phase, females showed a lower predicted binge drinking probability of 13% and a higher predicted marginal mean of progesterone-to-estradiol ratio of 95 compared with during the menstrual, follicular, and ovulatory phases (binge drinking probability and odds ratios vs. late luteal phase, respectively: 17%, odds ratio=1.340, 95% CI=1.031, 1.742; 19%, odds ratio=1.523, 95% CI=1.190, 1.949; and 20%, odds ratio=1.683, 95% CI=1.285, 2.206; difference in progesterone-to-estradiol ratios, respectively: -61, 95% CI=-105.492, -16.095; -78, 95% CI=-119.322, -37.039; and -71, 95% CI=-114.568, -27.534). In males, a higher progesterone-to-estradiol ratio was related to lower probabilities of binge drinking and of any alcohol use, with a 10-unit increase in the hormone ratio resulting in odds ratios of 0.918 (95% CI=0.843, 0.999) and 0.914 (95% CI=0.845, 0.988), respectively.

CONCLUSIONS

These ecologically valid findings suggest that high progesterone-to-estradiol ratios can have a protective effect against problematic alcohol use in females and males with AUD, highlighting the progesterone-to-estradiol ratio as a promising treatment target. Moreover, the results indicate that females with AUD may benefit from menstrual cycle phase-tailored treatments.

A Female-Specific Treatment Group for ADHD-Description of the Programme and Qualitative Analysis of First Experiences

Background: The diagnostics and treatment of attention-deficit/hyperactivity disorder (ADHD) in women remain insufficient. Fluctuations of reproductive hormones during the premenstrual period, postpartum period, and (peri)menopause are neglected, even though they impact ADHD symptoms and associated mood disorders. Therefore, we created a female-specific treatment group for women with ADHD and premenstrual worsening of ADHD and/or mood symptoms. Methods: We describe the group programme and underlying rationale, offering a qualitative analysis of the participants' evaluation. Results: The seven bi-weekly sessions foreground the menstrual cycle and address several ADHD-specific topics in relation to this cyclical pattern. Concurrently, women track their menstrual cycle and (fluctuating) ADHD and mood symptoms with an adjusted premenstrual calendar. In total, 18 women (25-47 years) participated in three consecutive groups. We analysed the evaluation of the last group. Participants experienced the group as a safe and welcoming space. Recognition was valued by all. The topics discussed were deemed valuable, and the structure suited them well. Completing the premenstrual calendar augmented the awareness and recognition of individual cyclical symptoms. A lifespan approach increased self-understanding. Participants took their menstrual cycle more seriously, prioritising self-acceptance and self-care. Conclusions: Exploring a cyclical approach in a group setting seems to be a positive addition to treatment for female ADHD.

Factors Predicting Removals of the Levonorgestrel-Releasing Intrauterine System in an Adolescent Cohort

OBJECTIVE

Use of 52-mg levonorgestrel intrauterine system (LNG-IUS) in adolescents for heavy menstrual bleeding (HMB), dysmenorrhea, and contraception has increased, yet little is known about the factors predicting removal and dissatisfaction in adolescents. The aim of this study was to identify factors predicting LNG-IUS removal in adolescents.

METHODS

This was a retrospective cohort study including all adolescents (9-19 years) who underwent LNG-IUS insertion between 2012 and 2021 (n = 536). A medical record review was conducted and data were collated on medical and gynecological history, age, indications for insertion, complications, expulsions, and removals. The data were analyzed using χ2 tests.

RESULTS

Indications for LNG-IUS insertions (n = 536) among 517 individual patients (n = 517) included menstrual management (n = 142), HMB alone (n = 118), HMB and pelvic pain/dysmenorrhea (n = 105), dysmenorrhea/pelvic pain alone (n = 47), and contraception (n = 16). Associated diagnoses included intellectual disability (44.29%, 229/517), chronic pain conditions (12.77%, 66/517), and additional mental health concerns (24.37%, 126/517). Patient dissatisfaction with LNG-IUS led to removal in 61 (11.38%), mostly for pain or persistent bleeding. Higher removal rates occurred in those with associated chronic pain conditions (46.97%, χ2 = 55.9, P < .05), mental health concerns (16.67%, χ2 = 5.06, P < .05), and bleeding disorders (26.32%, χ2 = 5.09, P < .05). Among the cohort with an intellectual disability, lower rates of removal occurred (5.7%, χ2 = 11.2, P < .05). Whereas the LNG-IUS removal rate among gender-diverse youth was 23.07%, this was not statistically significant. Younger age was also not associated with a statistically significant increase in removals (13.72%, χ2 = 0.73, P > .05).

DISCUSSION

Adolescents have a low dissatisfaction and removal rate (11.38%) of LNG-IUS. Chronic pain, bleeding tendency, and mental health concerns are associated with higher removal rates and intellectual disability with lower rates. These findings are useful in counselling patients and families about LNG-IUS.

Using unconditioned responses to predict fear acquisition, fear extinction learning, and extinction retention patterns: Sex hormone status matters

Following a traumatic event, fear dysregulation can increase the likelihood of developing post-traumatic stress disorder (PTSD). This psychopathology is twice as prevalent in women than in men. High physiological reactivity following trauma may be an early risk indicator for the development of PTSD. Elevated physiological reactivity and low estradiol levels have individually been associated with higher fear acquisition and/or lower extinction retention. Thus, sex hormone status may also modulate fear regulation abilities. However, it is unknown whether these two vulnerability factors interact to modulate fear learning and regulation. Using a fear conditioning and extinction protocol, we examined whether physiological reactivity to the aversive stimulus during fear acquisition training predicted fear responses during fear learning, extinction learning, and extinction retention. We verified whether these associations differed according to sex hormone status. Seventy-seven non-clinical participants were recruited including oral contraceptive users (n = 18), early follicular women (n = 20, [low estradiol]), mid-cycle women (n = 20, [high estradiol]), and men (n = 19). Participants underwent a three-day fear conditioning and extinction protocol (day 1: fear acquisition training; day 2: extinction training; day 3: retention test). Skin conductance responses were recorded. In early follicular women, physiological reactivity predicted conditioned and extinguished stimulus fear responses during all phases. For the remaining women, this effect was only present during fear learning and extinction learning. These findings highlight the importance of considering physiological reactivity and sex hormone status following a traumatic event. This knowledge could aid in the early identification of those at higher risk of developing PTSD.

Estrogen and psychosis - a review and future directions

The link between sex hormones and schizophrenia has been suspected for over a century; however, scientific evidence supporting the pharmacotherapeutic effects of exogenous estrogen has only started to emerge during the past three decades. Accumulating evidence from epidemiological and basic research suggests that estrogen has a protective effect in women vulnerable to schizophrenia. Such evidence has led multiple researchers to investigate the role of estrogen in schizophrenia and its use in treatment. This narrative review provides an overview of the effects of estrogen as well as summarizes the recent work regarding estrogen as a treatment for schizophrenia, particularly the use of new-generation selective estrogen receptor modulators.

Sex differences in mood, hormone and immune response to combatives training in West Point Cadets

Hand-to-hand combat training, known as combatives, instructs Soldiers in close-quarters combat techniques and how to cope with stress, understand controlled physical aggression, and develop self-confidence when engaged in such activities. Limited research in combat sports suggests men and women may respond to combatives stress differently. Given the increasing integration of women into close combat roles in the military, investigation of sex differences in the physiological and psychological response to combatives among military-trained personnel is warranted.

PURPOSE

This study was designed to identify sex differences in stress and gonadal hormones, mucosal immunity, and mood states in a military combatives training course.

METHODS

U.S. Military Academy Cadets (men = 144, women = 37) enrolled in a 2-month Combat Applications Course at West Point completed the Profile of Mood States and Competitive State Anxiety Inventory-2 and provided salivary samples at baseline prior to the course, and immediately prior to their midterm and final combat matches. Combat matches were gender- and weight-matched. Additional salivary samples were collected immediately following the first midterm and final matches. Salivary cortisol, testosterone, secretory immunoglobulin A (SIgA) and estradiol (women only) were measured via immunoassay. Men and women were compared over time with linear mixed effects models.

RESULTS

In both men and women, confusion, tension, anger, cognitive anxiety, somatic anxiety, and self-confidence increased throughout the course whereas friendliness and SIgA secretion rate decreased (all p < 0.05). Compared to women, men had a greater acute increase in cortisol from pre- to post-match (p = 0.043). Prior to the final match, women displayed higher ratings of tension (20.5 ± 9.3 vs. 16.0 ± 8.6) and cortisol (0.6 ± 0.3 vs. 0.4 ± 0.3 µg/dL) than men (all p < 0.05). After controlling for previous combative experience, ratings of tension did not differ by sex but remained elevated prior to midterm and final compared to baseline.

CONCLUSION

Combatives training elicited significant psychological and physiological stress and decreased mucosal immunity in both men and women. Women exhibited higher tension at the final match, likely due to lack of previous combative experience. Self-confidence increased from baseline suggesting that the skills learned may help Cadets prepare for combatives and other activities that require controlled aggression.

Modeling Sex-Bias in Anxiety: Pros and Cons of a Larval Zebrafish Model

Anxiety disorders are the most prevalent psychiatric disorders, exhibiting strong female bias. Clinical studies implicate declining estradiol levels in the exacerbation of anxiety symptoms in the premenstrual phase of the menstrual cycle. This study aimed to simulate estradiol fluctuation-linked anxiety behavior in larval zebrafish, using an estradiol treatment withdrawal model. Contrary to model aims, estradiol treatment withdrawal decreased both basal activity and anxiety-like hyperlocomotion (ANOVA main effect of dose, P < 0.0001 and P < 0.01, respectively) in the light/dark transition test. The accuracy of the estradiol washout model was not improved by longer durations of treatment or withdrawal. Basal activity was slightly altered by supraphysiological concentrations of WAY-200070 in the absence of added estradiol. Estrogen receptor (ER) β expression was not upregulated in larvae exposed to physiologically relevant, low concentrations of estradiol. Longer exposure to low concentrations of estradiol increased antioxidant capacity (P < 0.01). In addition, acute exposure to low concentrations of estradiol increased basal activity. Data suggest that in the current models, estradiol-associated altered activity levels were linked to more favorable redox status, rather than reflecting altered anxiety levels. As such, it is recommended that zebrafish larval behavioral analysis be conducted in parallel with mechanistic studies such as redox indicators, for investigations focused on ER signaling.

Electroencephalography findings in menstrually-related mood disorders: A critical review

The female reproductive years are characterized by fluctuations in ovarian hormones across the menstrual cycle, which have the potential to modulate neurophysiological and behavioral dynamics. Menstrually-related mood disorders (MRMDs) comprise cognitive-affective or somatic symptoms that are thought to be triggered by the rapid fluctuations in ovarian hormones in the luteal phase of the menstrual cycle. MRMDs include premenstrual syndrome (PMS), premenstrual dysphoric disorder (PMDD), and premenstrual exacerbation (PME) of other psychiatric disorders. Electroencephalography (EEG) non-invasively records in vivo synchronous activity from populations of neurons with high temporal resolution. The present overview sought to systematically review the current state of task-related and resting-state EEG investigations on MRMDs. Preliminary evidence indicates lower alpha asymmetry at rest being associated with MRMDs, while one study points to the effect being luteal-phase specific. Moreover, higher luteal spontaneous frontal brain activity (slow/fast wave ratio as measured by the delta/beta power ratio) has been observed in persons with MRMDs, while sleep architecture results point to potential circadian rhythm disturbances. In this review, we discuss the quality of study designs as well as future perspectives and challenges of supplementing the diagnostic and scientific toolbox for MRMDs with EEG.

Premenstrual Syndrome, Anxiety, and Depression Among Menstruating Rural Adolescent Girls: A Community-Based Cross-Sectional Study

Introduction Menstrual periods in young females can add a new challenge to the already difficult adolescent transition period. Menstrual health concerns can have extreme physical and psychosocial impacts on adolescent girls. Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) are extremely common yet underestimated. Depression in adolescents is a mental and emotional disorder. The objective of the study was to find out the prevalence of PMS, PMDD, anxiety, and depression among rural menstruating adolescent girls and the factors associated with it. Methods This was a community-based cross-sectional study carried out among 20 rural schools for the period of one year. Sample size was calculated based on previous research. Adolescent females who had menstruated for one year were included and those with primary amenorrhea and previously diagnosed mental health abnormalities were excluded. Becks' Depression Inventory, Hamilton Anxiety Scale, and Premenstrual Symptoms Screening Tool (PSST-A) were used. Data were collected by interview technique and entered in an Excel sheet (Microsoft Corporation, Redmond, Washington, United States), and analyzed using IBM SPSS Statistics for Windows, Version 22.0 (Released 2013; IBM Corp., Armonk, New York, United States). Results Out of 430 rural adolescent girls, 180 (41.9%) were 15 years, 277 (64.4%) belonged to nuclear families, 236 (54.9%) exercised less than 30 minutes, 144 (33.5%) had menarche at the age of 13 years, 288 (67%) had regular cycles, 266 (61.9%) had moderate flow during the menstrual cycle, 302 (70.2%) had a flow duration of less than seven days, and 243 (56.5%) had dysmenorrhea. Thirty-eight (8.8%) girls had PMDD and 75 (17.4%) had PMS. Age, family status, severity of menstrual flow, duration of cycle, and presence of dysmenorrhea, depression, and anxiety had a statistically significant association with PMDD. The class/grade in which studying, cycle regularity, flow during the menstrual cycle, duration of the cycle, dysmenorrhea, anxiety, and depression status had a statistically significant association with PMS. Conclusions The menstrual cycle's impact on the mental health of rural adolescent girls should not be ignored and schools can be instrumental in improving their quality of life. Regular counselling and mental health supervision by school teachers and peer groups can be beneficial.

Dynamics of usage of menstrual hygiene and unhygienic methods among young women in India: a spatial analysis

BACKGROUND

Menstruation, especially the menstrual cycle, is a vital sign for female adolescent health and maintaining menstrual hygiene is of utmost importance for menstruating girls and women. However, menstrual hygiene and management are issues that have not received adequate attention. Therefore, the present study aimed to explore spatial patterns of menstrual hygiene practices in India and to identify their socioeconomic and demographic determinants among women aged 15-24 years.

METHODS

The study utilized data from the fifth round of the National Family Health Survey (NFHS-5) conducted during 2019-21 in India. The analysis was limited to 241,180 women aged 15-24 years. The statistical methods range from multinomial logistic regression, spatial autocorrelation in terms of Moran's I statistics, to spatial regression in order to understand the spatial dependence and clustering in different methods of menstrual practices across the districts of India.

RESULTS

Almost half of the respondents (49.8 percent) reported using hygienic methods of bloodstain protection, while 22.7 percent still relied on unhygienic methods and 27.5 percent reported using both hygienic and unhygienic methods during their menstruation. Factors like age, place of residence, caste, religion, education, wealth index and toilet facility were found to be significantly associated with the use of unhygienic and both methods. It was also observed that the percentage of women practicing hygienic methods was predominantly higher in the Southern region. On the other hand, states like Madhya Pradesh and Bihar appeared to be hotspots for unhygienic menstrual practices. The univariate Moran's I value for unhygienic and both methods were 0.722 and 0.596, respectively, depicting high spatial autocorrelation across districts in India. In spatial regression, rural residence, illiteracy, poverty, and no toilet facility were found to be statistically significant predictors of the use of unhygienic method and both methods.

CONCLUSION

Young women should be educated about the importance of menstrual hygiene practices and the physiological consequences of unhygienic practices. Furthermore, interventions should target socio-economically disadvantaged women to increase the use of sanitary napkins.

Defensive responses: behaviour, the brain and the body

Most animals live under constant threat from predators, and predation has been a major selective force in shaping animal behaviour. Nevertheless, defence responses against predatory threats need to be balanced against other adaptive behaviours such as foraging, mating and recovering from infection. This behavioural balance in ethologically relevant contexts requires adequate integration of internal and external signals in a complex interplay between the brain and the body. Despite this complexity, research has often considered defensive behaviour as entirely mediated by the brain processing threat-related information obtained via perception of the external environment. However, accumulating evidence suggests that the endocrine, immune, gastrointestinal and reproductive systems have important roles in modulating behavioural responses to threat. In this Review, we focus on how predatory threat defence responses are shaped by threat imminence and review the circuitry between subcortical brain regions involved in mediating defensive behaviours. Then, we discuss the intersection of peripheral systems involved in internal states related to infection, hunger and mating with the neurocircuits that underlie defence responses against predatory threat. Through this process, we aim to elucidate the interconnections between the brain and body as an integrated network that facilitates appropriate defensive responses to threat and to discuss the implications for future behavioural research.

The Effect of Premenstrual Dysphoric Disorder Diagnosis and Severity on Depression Sensitivity

ABSTRACT

Premenstrual dysphoric disorder (PMDD) is thought to be associated with depressive disorder. In our study, the depression susceptibility of female patients with PMDD was assessed using the depression sensitivity scale, which is different from previous studies. The study was conducted on 32 PMDD patients aged 18-40 years who applied to the psychiatry outpatient clinic and 30 healthy controls. The mean age of women diagnosed with PMDD was similar ( p = 0.467). The probability of having a family history of PMDD was significantly higher in the PMDD group than in the control group (χ 2 = 11.182, p = 0.001). Previous psychotropic drug use (χ 2 = 8.862, p = 0.003) and family history of mental illness (χ 2 = 5.995, p = 0.014) were significantly higher in PMDD patients compared with the control group. The sociodemographic questionnaire, the Leiden Index of Depression Sensitivity (LEIDS), and the Premenstrual Assessment Form were administered to the participants. No significant difference was found between the patient and healthy groups regarding LEIDS scores ( r = 0.75, p > 0.05). In patients with PMDD, the clinical severity of PMDD was found to increase susceptibility to depression ( r = 0.460, p < 0.01). It was revealed that PMDD severity was associated with susceptibility to depression rather than PMDD diagnosis.

The Impact of Irregular Menstruation on Health: A Review of the Literature

Women are considered to have an irregular menstrual cycle if their cycle length is less than 21 days or more than 35 days, accompanied by less or very severe blood flow. The prevalence of menstrual cycle irregularities varies across countries. Irregular periods can occur due to changes in the body's levels of estrogen and progesterone hormones, which disrupt the normal pattern of the period. Menstrual irregularity has been found to be associated with various diseases and medical conditions, such as metabolic syndrome, coronary heart disease, type 2 diabetes mellitus, and rheumatoid arthritis. Anemia, osteoporosis, psychological problems, impaired quality of life, and infertility have also been recorded. Moreover, a significant correlation between irregular periods and the risk of developing pregnancy-related hypertensive disorders, as well as an increased risk of adverse obstetric and neonatal outcomes, has been proven. Therefore, irregular menstruation is considered an important health indicator among women. Physical, mental, social, psychological, and reproductive problems are often associated with menstrual irregularities. Thus, evaluating the factors associated with irregular menstruation is necessary to determine appropriate preventive and treatment strategies and to decrease the associated health problems. The aim of this review was to define normal and irregular menstruation, their types, and prevalence, to recognize the risk factors and causes of irregular menstruation, and to understand their impact on women's health.

Sex and estrous cycle-linked differences in the effect of cannabidiol on panic-like responding in rats and mice

Clinical and preclinical studies point towards anxiolytic actions of cannabidiol (CBD), but its effect in panic disorder has been less explored and few studies consider effects in females. We here compared the effect of CBD on the response of male and female rats and mice to a panicogenic challenge; exposure to low O2 (rats) or high CO2 (mice) paying attention in females to possible effects of estrous cycle phase. Male and female Sprague-Dawley rats and C57BL/6 J mice were exposed to 7% O2 for 5 min (rats) or 20% CO2 (mice) and escape behaviour, which has been associated with panic attacks, was quantified as undirected jumps towards the gas chamber's ceiling. The effect of pretreatment with CBD (1-10 mg kg-1 i.p. in rats or 10-60 mg kg-1 i.p. in mice) was tested. The results showed that low O2 (rats) or high CO2 (mice) evoked escape in both sexes. In female rats the response was estrous cycle-sensitive: females in late diestrus made significantly more jumps than females in proestrus. In female mice escape was not influenced by estrous cycle phase and CBD was panicolytic. In female rats CBD attenuated escape behaviour in late diestrus phase but not in proestrus. In male rats and mice CBD had no effect on escape behaviour. Therefore, CBD is panicolytic in female rats and mice but not in males. In rats the effect is estrous cycle-sensitive: rats were most responsive to CBD in late diestrus. In mice higher doses were required to elicit effects and estrous cycle had no effect.

The Menstrual Cycle's Influence on Sleep Duration and Cardiovascular Health: A Comprehensive Review

The menstrual cycle, a fundamental biological process in women, extends its influence beyond reproduction, impacting sleep duration and cardiovascular health. This comprehensive review delves into the intricate connections that bind these three vital aspects of women's health. Beginning with thoroughly exploring the menstrual cycle, we uncover its phases and the dynamic hormonal fluctuations that underlie each stage. We pay special attention to estrogen and progesterone, the primary sex hormones orchestrating the menstrual cycle. With their rhythmic rise and fall, these hormones orchestrate events, affecting sleep duration, sleep patterns, and various indicators of cardiovascular well-being. The review examines how the menstrual cycle influences sleep patterns, exploring the nuanced changes in sleep duration observed throughout menstrual phases. We elucidate the contributing factors, encompassing hormonal fluctuations, the impact of pain and discomfort, and the significance of emotional and psychological factors. All of these elements collectively contribute to variations in sleep quality. Shifting our focus to the cardiovascular system, we investigate the bidirectional relationships between sleep disturbances and cardiovascular conditions, emphasizing the need to address sleep-related issues in the context of cardiovascular risk. The menstrual cycle is analyzed as a pivotal mediator in these intricate connections, exploring how hormonal fluctuations across menstrual phases can influence sleep patterns and cardiovascular health. This analysis provides valuable insights into the complex causality web. As clinical implications emerge, we emphasize the importance of tailoring healthcare strategies for individuals with irregular menstrual cycles. We explore potential interventions, from personalized care and hormone management to lifestyle adjustments, to improve sleep and cardiovascular well-being. In conclusion, this comprehensive review sheds light on the interplay between the menstrual cycle, sleep duration, and cardiovascular health. It underscores the urgent necessity for personalized healthcare approaches and preventive strategies, empowering women to navigate these intricate relationships. Ultimately, through a nuanced understanding of these interactions, we can work towards enhancing women's overall well-being and reducing cardiovascular risk within the context of menstrual cycle-related influences.

Using Hormone Data and Age to Pinpoint Cycle Day within the Menstrual Cycle

Background and Objectives: Menstrual cycle tracking is essential for reproductive health and overall well-being. However, there is still an over-reliance on estimations that standard cycles are 28 days long, divided evenly between the follicular and luteal phases. Due to the variability of cycle length and cycle phase lengths, common methods of identifying where an individual is in their cycle are often inaccurate. This study used daily hormone monitoring obtained through a remote hormone-monitoring platform to evaluate hormone levels across a menstrual cycle to identify nuances in the follicular and luteal phases in individuals of different age groups. Materials and Methods: This study used a remote fertility testing system that quantitatively tracks luteinizing hormone (LH) and pregnanediol-3-glucuronide (PdG) through urine tests read by an AI-powered smartphone app. The study analyzed cycle data from 1233 users with a total of 4123 evaluated cycles. Daily levels for LH and PdG were monitored across multiple cycles. Results: This study determined that calculated cycle lengths tended to be shorter than user-reported cycle lengths. Significant differences were observed in cycle phase lengths between age groups, indicating that follicular phase length declines with age while luteal phase length increases. Finally, the study found that if an individual's age, first cycle day, and current hormone levels are known, population-level hormone data can be used to pinpoint which cycle phase and cycle day they are in with 95% confidence. Conclusions: At-home hormone monitoring technologies can allow patients and clinicians to track their cycles with greater precision than when relying on textbook estimations. The study's findings have implications for fertility planning, clinical management, and general health monitoring. Prior to this study, no standard existed for pinpointing where a person was in their cycle through only one measure of LH and PdG. These findings have the potential to fill significant gaps within reproductive healthcare and beyond.

Non-Invasive Brain Stimulation and Sex/Polypeptide Hormones in Reciprocal Interactions: A Systematic Review

A better understanding of interindividual differences and the development of targeted therapies is one of the major challenges of modern medicine. The sex of a person plays a crucial role in this regard. This systematic review aimed to summarise and analyse available evidence on the mutual interactions between non-invasive brain stimulation and sex/polypeptide hormones. The PubMed database was searched from its inception to 31 March 2023, for (i) studies that investigated the impact of sex and/or polypeptide hormones on the effects induced by non-invasive brain stimulation, or (ii) studies that investigated non-invasive brain stimulation in the modulation of sex and/or polypeptide hormones. Eighteen studies (319 healthy and 96 disabled participants) were included. Most studies focused on female sex hormone levels during the menstrual cycle. The later follicular phase is associated with a weak between hemispheric and intracortical inhibition, strong intracortical facilitation, and high stimulation-induced neural and behavioural changes. The opposite effects are observed during the luteal phase. In addition, the participant's sex, presence and/or absence of real ovulation and increase in oestradiol level by chorionic gonadotropin injection influence the stimulation-induced neurophysiological and behavioural effects. In Parkinson's disease and consciousness disorders, the repetitive application of non-invasive brain stimulation increases oestradiol and dehydroepiandrosterone levels and reduces disability. To date, male hormones have not been sufficiently included in these studies. Here, we show that the sex and/or polypeptide hormones and non-invasive brain stimulation methods are in reciprocal interactions. This may be used to create a more effective and individualised approach for healthy individuals and individuals with disabilities.

Towards understanding the biology of premenstrual dysphoric disorder: From genes to GABA

Premenstrual dysphoric disorder (PMDD) is a severe mood disorder, with affective symptoms that rise and fall in concert with the hormonal fluctuations of the menstrual cycle. PMDD's pathophysiology is poorly understood. This review describes recent research on potential biological contributors to PMDD, with a focus on neuroactive steroids, genetics, neuroimaging and cellular studies. Studies suggest that a key contributor is abnormal central nervous system (CNS) response to fluctuations in neuroactive steroid hormones. Imaging studies are limited but support alterations in serotonergic and GABA transmission. Genetic studies suggest heritability, yet specific genetic contributors have not been characterized. Finally, recent cutting-edge cellular studies indicate an underlying vulnerability to the effect of sex hormones at a cellular level. Overall the findings across studies do not yet fit together into a complete description of the underlying biology of PMDD. It is possible that PMDD consists of biological subtypes, and future research may benefit from a subtyping approach.

New Pharmacological Approaches to the Management of Premenstrual Dysphoric Disorder

Premenstrual symptoms are experienced by many female individuals during their fertile age. Premenstrual dysphoric disorder (PMDD), a sex-specific mood disorder, affects about 5% of female individuals during the luteal phase of the menstrual cycle. Treatment with selective serotonin reuptake inhibitors represents a valid solution to manage PMDD for many, but not all, patients. Owing to maladaptive neural reactivity to gonadal hormone fluctuations, that is, the putative mechanism postulated to underlie PMDD, drugs suppressing or stabilizing such variations have been tested. Recently, a clinically significant reduction in the severity of the mental symptoms of PMDD was observed upon treatment with a selective progesterone receptor modulator (SPRM), as demonstrated when comparing ulipristal acetate with placebo in a randomised controlled trial. Stable and low progesterone levels, with maintained low-medium oestradiol levels, define the endocrine profile of this treatment. Importantly, the efficacy of SPRM treatment was accompanied by negligible side effects. These promising results represent a headway to understanding the mechanisms behind PMDD symptomatology and opening up new solutions in the management of PMDD. They also call for studies on the long-term efficacy, safety, and viability of SPRMs in female individuals during their fertile age to further support the development of targeted management of female's mental ill-health in relation to the menstrual cycle. The present overview thus seeks to inform about current and new pharmacological approaches to the management of premenstrual dysphoric disorder.

Auditory steady-state responses in the auditory cortex of mice during estrus cycle

Auditory-steady state responses (ASSRs) disclose brain's potency to oscillate and have been suggested to serve as biomarkers in various psychiatric disorders. GABAergic neurotransmission, a critical component for brain oscillations, is heavily influenced by sex hormones. In line, the severity of symptoms in psychiatric disorders is linked to changes in sex hormones during menstrual cycle. However, how these sex hormones affect ASSRs remain largely unknown. This was addressed by performing chronic recordings of ASSRs in mice while monitoring its estrus cycle. Here, the stability of ASSRs during long term recordings were validated and showed good reliability. 40 Hz ASSRs showed changes throughout estrus cycle where it decreased in metestrus phase compared to diestrus phase. In contrast, other frequency ASSRs did not show significant changes throughout estrus cycle. Taken together, our findings illustrate that the estrus cycle can influence the generation of ASSRs and the phase of the estrus cycle should be taken into consideration when ASSRs are recorded in females.

A Survey of the Menstrual Status of Female College Students

Education about menstruation is a sensitive topic for young female students; providing appropriate knowledge is essential for maintaining and improving their health. The present study was conducted to collect data corresponding to different factors affecting health among young individuals; the menstrual status, exercise habits, sleep status, and body composition of these individuals as well as the relationships among these factors, were evaluated. Altogether, 200 female students responded to the survey; 129 completed all the physical measurement items. As a case study, face-to-face interviews regarding menstrual symptoms were conducted. Results showed that 49/200 (25%) and 120/200 (60%) participants experienced moderate or severe pain before and during menstruation, respectively. The degree of pain one week before menstruation and during menstruation were significantly positively correlated (r = 0.573, p < 0.01). When analyzed as group data, it was difficult to identify the relationship between menstrual status, exercise habits, and sleep status; these were found to be intricately associated with various factors. The case study analysis confirmed that some individuals experienced physical and psychological symptoms, such as irregular menstrual cycles, premenstrual syndrome, and severe menstrual cramps.

Predictors of perceived symptom change with acute cannabis use for mental health conditions in a naturalistic sample: A machine learning approach

BACKGROUND

Despite limited clinical evidence of its efficacy, cannabis use has been commonly reported for the management of various mental health concerns in naturalistic field studies. The aim of the current study was to use machine learning methods to investigate predictors of perceived symptom change across various mental health symptoms with acute cannabis use in a large naturalistic sample.

METHODS

Data from 68,819 unique observations of cannabis use from 1307 individuals using cannabis to manage mental health symptoms were analyzed. Data were extracted from Strainprint®, a mobile app that allows users to monitor their cannabis use for therapeutic purposes. Machine learning models were employed to predict self-perceived symptom change after cannabis use, and SHapley Additive exPlanations (SHAP) value plots were used to assess feature importance of individual predictors in the model. Interaction effects of symptom severity pre-scores of anxiety, depression, insomnia, and gender were also examined.

RESULTS

The factors that were most strongly associated with perceived symptom change following acute cannabis use were pre-symptom severity, age, gender, and the ratio of CBD to THC. Further examination on the impact of baseline severity for the most commonly reported symptoms revealed distinct responses, with cannabis being reported to more likely benefit individuals with lower pre-symptom severity for depression, and higher pre-symptom severity for insomnia. Responses to cannabis use also differed between genders.

CONCLUSIONS

Findings from this study highlight the importance of several factors in predicting perceived symptom change with acute cannabis use for mental health symptom management. Mental health profiles and baseline symptom severity may play a large role in perceived responses to cannabis. Distinct response patterns were also noted across commonly reported mental health symptoms, emphasizing the need for placebo-controlled cannabis trials for specific user profiles.

A Randomized Controlled Trial of Changes in Fluid Distribution across Menstrual Phases with Creatine Supplementation

This study examined the effects of creatine (Cr) loading on body mass (BM) and fluid markers of total body water (TBW), extra-cellular fluid (ECF), and intra-cellular fluid (ICF) across the menstrual cycle (MC). Thirty moderately active females, either naturally-menstruating (NM) or using hormonal contraceptives (HC), were randomized to Cr (Cr; 4 × 5 g/day of creatine monohydrate for 5 days; n = 15) or a non-caloric placebo (PL; n = 15) using a double-blind, placebo-controlled design, with a menstrual phase crossover. BM, TBW, ECF, and ICF were measured at pre- and post-supplementation in randomized order of follicular phase (FP; NM: MC days 0−8, HC: inactive pill days) or luteal phase (LP; NM: ≤15 days from next projected cycle start date, HC: active pill days) using bioelectrical impedance spectroscopy. Acute hydration status and salivary estrogen were used as covariates. Change in BM was not different between groups across MC ([PL-Cr] Δ 0.40 ± 0.50 kg; p = 0.427) or between MC phase across groups ([FP-LP] Δ 0.31 ± 0.48 kg; p = 0.528). TBW (p = 0.802), ECF (p = 0.373), and ICF (p = 0.795) were not different between supplement groups at pre-supplementation/FP time points. There were no significant differences between the NM and HC subjects at any time point, for any outcome (p > 0.05). Following LP supplementation, significant changes were observed in TBW (Cr: Δ 0.83 ± 0.38 L, PL: Δ −0.62 ± 0.38 L; p = 0.021), ECF (Cr: Δ 0.46 ± 0.15 L, PL: Δ −0.19 ± 0.15 L; p = 0.013), and ICF (Cr: Δ 0.74 ± 0.23 L, PL: Δ −0.02 ± 0.23 L; p = 0.041). These data demonstrate an increase in all fluid compartments in the LP following Cr loading, without observed alterations in body weight for females.

What Pre-clinical Rat Models Can Tell Us About Anxiety Across the Menstrual Cycle in Healthy and Clinically Anxious Humans

PURPOSE OF REVIEW

Anxiety symptoms increase during the peri-menstrual phase of the menstrual cycle in people with anxiety disorders. Whether this reflects a heightened variant of normal menstrual-related changes in psychological states experienced by healthy (i.e. non-anxious) people is unknown. Moreover, menstrual-related change in anxiety symptoms is a poorly understood phenomenon, highlighting a need for pre-clinical models to aid mechanistic discovery. Here, we review recent evidence for menstrual effects on anxiety-like features in healthy humans as a counterpart to recent reviews that have focused on clinically anxious populations. We appraise the utility of rodent models to identify mechanisms of menstrual effects on anxiety and offer suggestions to harmonise methodological practices across species to advance knowledge in this field.

RECENT FINDINGS

Consistent with reports in clinical populations, some evidence indicates anxiety symptoms increase during the peri-menstrual period in healthy people, although null results have been reported, and these effects are heterogeneous across studies and individuals. Studies in rats show robust increases in anxiety during analogous phases of the oestrous cycle. Studies in female rats are useful to identify the evolutionarily conserved biological mechanisms of menstrual-related changes in anxiety. Future experimental approaches in rats should model the heterogeneity observed in human studies to increase alignment across species and advance understanding of the individual factors that increase the propensity to experience menstrual-related changes in anxiety.

From menarche to menopause, heavy menstrual bleeding is the underrated compass in reproductive health

Menstruation is defined as monthly uterine bleeding, regarded as a sign of reproductive health. When characterized by excessive bleeding (heavy menstrual bleeding [HMB]), it may act as a useful clinical marker for diagnosis of reproductive diseases. Endometrial and myometrial mechanisms underlying abnormal uterine bleeding (AUB), which includes HMB, have hormonal, cellular, and molecular aspects. Structural and nonstructural causes of AUB, presenting with HMB as the major symptom, result in iron depletion and consequent anemia. Heavy menstrual bleeding can be considered as a single entity to identify the possible underlying causes, which may be different to some extent to those of AUB, as a whole. Furthermore, the difficulties in defining HMB through objective methods do not allow the current epidemiological scenario on the prevalence of the symptom among reproductive-age women to be outlined. Moreover, the introduction of new diagnostic methods, including imaging technologies, entails a revision of the available figures on HMB in different age groups from menarche to menopause. In addition, a proper diagnostic algorithm for HMB should be implemented to adapt recommendations for clinical investigation when HMB is present.

Characteristics of menstrual disorders and reproductive hormones in women with epilepsy at an Indonesian national referral hospital

Objective

Menstrual disorders are more common in women with epilepsy than in those without epilepsy. This study aimed to examine the characteristics of reproductive function in women with epilepsy at an Indonesian national referral hospital.

Methods

A case-control study was conducted from March 2020 to March 2021. Women with and without epilepsy aged ≥18 years were enrolled. All women were premenopausal before epilepsy diagnosis. Data on demographic characteristics, menstrual profiles, epileptic syndrome, seizure type, seizure frequency, etiology, localization, and anticonvulsant medication were collected. Hormone levels (follicle stimulating hormone, luteinizing hormone, prolactin, and estradiol) were measured.

Results

A total of 72 women with and 50 without epilepsy (controls) were included. Dysmenorrhea was more common in women with epilepsy than in those without (59.7 vs. 20%, p &lt; 0.001; odds ratio: 5.931 [95% confidence interval: 2.566–13.709]). Marriage rates were higher in women without epilepsy (82 vs. 45.8%, p &lt; 0.001). No difference was found in hormone levels between the groups. The frequency of seizures was associated with prolactin and estradiol levels (p &lt; 0.001). Polytherapy with clobazam was associated with menstrual cycle regularity. In women with epilepsy with menstrual disorders, valproic acid was associated with higher estradiol levels (p = 0.001) and lamotrigine with lower follicle stimulating hormone levels (p = 0.008).

Significance

Women with epilepsy experienced more dysmenorrhea. A higher frequency of seizures associated with lower prolactin and estradiol levels. Polytherapy with clobazam was associated with irregular menstrual cycles, while valproic acid and lamotrigine was associated with estradiol and follicle stimulating hormone levels.