Symptoms of premenstrual dysphoric disorder and cycle phase are associated with enhanced facial emotion detection: An online cross-sectional study.

BACKGROUND: Premenstrual dysphoric disorder is a depressive disorder affecting 5%-8% of people with menstrual cycles. Despite evidence that facial emotion detection is altered in depressive disorders, with enhanced detection of negative emotions (negativity bias), minimal research exists on premenstrual dysphoric disorder. OBJECTIVES: The goal of this study was to investigate the effect of premenstrual dysphoric disorder symptoms and the premenstrual phase on accuracy and intensity at detection of facial emotions. DESIGN: Cross-sectional quasi-experimental design. METHOD: The Facial Emotion Detection Task was administered to 72 individuals assigned female at birth with no premenstrual dysphoric disorder (n = 30), and provisional PMDD (n = 42), based on a retrospective Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition-based measure of premenstrual dysphoric disorder. Facial emotion detection was examined both irrespective of menstrual cycle phase, and as a function of premenstrual phase (yes, no). The task used neutral-to-emotional facial expression morphs (15 images/morph). Participants indicated the emotion detected for each image within the progressive intensity morph. For all six basic emotions (sad, angry, fearful, happy, disgust, and surprise), two scores were calculated: accuracy of responses and the intensity within the morph at which the correct emotion was first detected (image number). RESULTS: Individuals reporting moderate/severe symptoms of premenstrual dysphoric disorder had more accurate and earlier detection of disgust, regardless of cycle phase. In addition, those with provisional premenstrual dysphoric disorder detected sad emotions earlier. A premenstrual dysphoric disorder group × cycle phase interaction also emerged: individuals reporting premenstrual dysphoric disorder symptoms were more accurate at detecting facial emotions during the premenstrual phase compared to the rest of the cycle, with a large effect size for sad emotions. CONCLUSION: The findings suggest enhanced facial emotion processing in individuals reporting symptoms of premenstrual dysphoric disorder, particularly for sadness and disgust. However, replication is required with larger samples and prospective designs. This premenstrual dysphoric disorder premenstrual emotion detection advantage suggests an adaptive cognitive mechanism in premenstrual syndrome/premenstrual dysphoric disorder, and challenges stigma surrounding premenstrual experiences.

Women with Severe Premenstrual Syndrome or Probable Premenstrual Dysphoric Disorder are Better at Identifying Emotional Expressions on People's Faces, Especially During the Premenstrual PhasePremenstrual dysphoric disorder is a depressive disorder affecting women where they experience emotional and physical symptoms during the premenstrual phase (i.e. the week before one's period). It is a severe form of premenstrual syndrome. Research indicates that depression can affect facial emotion recognition. Accurately recognizing other people's emotions is an important skill that helps us develop social connections and keep ourselves and others safe. Quick recognition of facial emotions allows us to understand and support others, and quickly identify dangerous situations by recognizing other people's emotional responses. The goal of this study was to examine how premenstrual dysphoric disorder symptoms and the premenstrual phase may affect the ability of women to recognize and identify emotions on other people's faces. A total of 72 women (42 with premenstrual dysphoric disorder, 30 without premenstrual dysphoric disorder) completed the Facial Emotion Detection Task. This task measured how accurate and early the women were able to detect happiness, sadness, anger, fear, surprise, and disgust in faces. Women with moderate/severe symptoms of premenstrual dysphoric disorder had more accurate and earlier detection of disgust, regardless of where they were in their menstrual cycle. Women with premenstrual dysphoric disorder detected sad emotions earlier. Furthermore, women with premenstrual dysphoric disorder were more accurate at detecting facial emotions when they were tested in the premenstrual phase, and were especially more accurate in detecting sad emotions. The findings suggest that women with premenstrual dysphoric disorder are better at detecting facial emotions and show a premenstrual dysphoric disorder premenstrual emotion detection advantage. This tendency for women with premenstrual dysphoric disorder to better detect emotions in others, particularly when they are in the premenstrual cycle phase, would have benefits. As one of the first reports of a potentially beneficial effect of premenstrual syndrome for women, the findings may help decrease stigma associated with premenstrual dysphoric disorder and premenstrual syndrome. Further research is needed to replicate and extend these findings.

Premenstrual disorders and PMDD - a review.

Defining, diagnosing and managing premenstrual disorders (PMDs) remains a challenge both for general practitioners and specialists. Yet these disorders are common and can have an enormous impact on women. PMDD (premenstrual dysphoric disorder), one severe form of PMD, has a functional impact similar to major depression yet remains under-recognised and poorly treated. The aim of this chapter is to give some clarity to this area, provide a framework for non-specialists to work towards, and to stress the importance of MDT care for severe PMDs, including PMDD.

Objective Smartwatch Indices of Affective Switching: A Pilot Study in Premenstrual Dysphoric Disorder.

Wearable devices offer a unique opportunity to provide real-time monitoring of affective switching (the mood transition into and out of dysregulated affective state), a critical window to detect and prevent depression and suicide. To model affective switching, we studied premenstrual dysphoric disorder (PMDD): a depressive disorder with a regularly occurring monthly trigger. Results supported feasibility of smartwatch monitoring protocol and preliminary evidence that objective physiological and behavioral metrics were associated with affective state.

Menstrual and psychosocial characteristics associated with high-risk of premenstrual dysphoric disorder among university students: a cross-sectional study.

Up to 92 percent of Chinese women of reproductive age have pre-menstrual syndrome (PMS). The severe form of PMS (i.e. pre-menstrual dysphoric disorder [PMDD]) negatively affects women's everyday functioning and reproductive health. This study examined the relationships between menstrual, psychosocial characteristics and the risk of PMDD among young Chinese women. A cross-sectional online survey was conducted among Chinese university students in Hong Kong. Logistic regression was used to compute adjusted odds ratio (aOR) for the association of high-risk PMDD with menstrual and psychosocial characteristics. A total of 541 Chinese university students were recruited. Approximately 53 percent of female students were at high risk of developing PMDD. The high-risk PMDD group was significantly associated with a heavy volume of menstrual flow (aOR = 2.17, 95 percent CI 1.06-4.45), irregular menstrual cycle (1.72, 1.17-2.52), high dysmenorrhea (2.80, 1.95-4.04) and older ages of menarche (0.67, 0.45-0.98) in the menstrual characteristics. In the psychosocial characteristics, high-risk PMDD was significantly associated with symptoms of anxiety (2.19, 1.48-3.32) and depression (2.22, 1.48-3.32), high loneliness (1.94, 1.34-2.79) and low resilience (2.21, 1.52-3.23) levels. Additionally, resilience had a potential moderating effect on the associations between the high risk of PMDD and anxiety, depression and loneliness. The development and delivery of interventions that can enhance resilience and manage psychological distress would be beneficial for young Chinese women's reproductive health.

The prevalence of premenstrual dysphoric disorder: Systematic review and meta-analysis.

BACKGROUND: Premenstrual dysphoric disorder is characterised by symptoms confined to the premenstrual phase of the menstrual cycle. Confirmed diagnosis requires prospective monitoring of symptoms over two cycles, otherwise the diagnosis is provisional. We aimed to measure the point prevalence of premenstrual dysphoric disorder. METHODS: We searched for studies of prevalence using MEDLINE, EMBASE, PsycINFO and PubMed. For each study, the total sample size and number of cases were extracted. The prevalence across studies was calculated using random effects meta-analysis with a generalised linear mixed model. Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Pre-registration was with PROSPERO (CRD42021249249). RESULTS: 44 studies with 48 independent samples met inclusion criteria, consisting of 50,659 participants. The pooled prevalence was 3.2 % (95 % confidence intervals: 1.7 %-5.9 %) for confirmed and 7.7 % (95 % confidence intervals: 5.3 %-11.0 %) for provisional diagnosis. There was high heterogeneity across all studies (I2 = 99 %). Sources of heterogeneity identified by meta-regression were continent of sample (p < 0.0001), type of sample (community-based, university, high school) (p = 0.007), risk of bias (p = 0.009), and method of diagnosis (p = 0.017). Restricting the analysis to community-based samples using confirmed diagnosis resulted in a prevalence of 1.6 % (95 % confidence intervals: 1.0 %-2.5 %), with low heterogeneity (I2 = 26 %). LIMITATIONS: A small number of included studies used full DSM criteria in community settings. CONCLUSIONS: The point prevalence of premenstrual dysphoric disorder using confirmed diagnosis is lower compared with provisional diagnosis. Studies relying on provisional diagnosis are likely to produce artificially high prevalence rates.

The impact of comorbid premenstrual syndrome or premenstrual dysphoric disorder on the clinical characteristics of bipolar disorder among Han Chinese women.

Bipolar disorder (BD) is commonly comorbid with premenstrual syndrome (PMS) or premenstrual dysphoric disorder (PMDD). However, little is known about their relationship. This study aimed to assess the impact of comorbid PMS or PMDD on the clinical characteristics of BD. A cross-sectional study was conducted on 262 women with BD. PMS and PMDD were screened with the Premenstrual Symptoms Screening Tool (PSST). Symptomatic features were assessed with Hamilton Depression Scale (HAMD), Young Mania Rating Scale (YMRS), and atypical features by the depressive episode section of SCID-I/P. The rates of PMS and PMDD among BD were 57.6% and 20.6% according to PSST. No significant difference in the rates of PMS and PMDD was found between BD I, BD II, and BD-NOS. Compared to BD patients without PMS or PMDD, patients with comorbid BD and PMS or PMDD were younger, more educated, had a higher risk of OCD, had an earlier age of onset, scored higher on HAMD-17 and its sub-scale of anxiety/somatization, cognitive deficit, psychomotor retardation, and were more likely to have increased appetite and leaden paralysis. In addition, patients with comorbid BD and PMDD were less likely to experience traumatic life events, more likely to have family history of mental disorders and have inflammatory or autoimmune disease, scored higher on HMAD-17, particularly in its sub-scale of anxiety/somatization, cognitive deficit, psychomotor retardation, and sleep disturbance. Compared with BD without PMS or PMDD, BD with PMS or PMDD might be a specific subtype of BD characterized with earlier onset age, heavier genetic load, increased symptom severity, and atypical features.

Prevalence and correlates of premenstrual syndrome and premenstrual dysphoric disorder among women aged 18-25 in Turkey.

OBJECTIVE: Premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) are experienced in the luteal phase among women of reproductive age and are known to affect quality of life. This study sought to determine the prevalence and correlates of PMS and PMDD in women aged 18-25 in Turkey. METHOD: A cross-sectional study was conducted between December 2022 and May 2023, which recruited 1125 female college students. A personal information form, the International Physical Activity Questionnaire, and the Premenstrual Syndrome Scale (PMSS) were administered. Participants who met criteria for PMS during three consecutive menstrual cycles based on the ACOG and PMSS scores were diagnosed as having PMS. Participants who met the criteria for PMDD during three consecutive menstrual cycles based on the DSM-V were diagnosed as having PMDD. Logistic regression analysis was used to determine correlates of PMS and PMDD. FINDINGS: PMS was found in 49.2% and PMDD in 48.0% of the participants. Women having a blood group type B compared to those with blood group type A were more likely to have PMS (OR = 151.8, 95% CI = 54.5-422.6). In addition, women with PMS were less likely to be physically active based on the metabolic equivalent of task score (OR = 0.99, 95% CI= 0.98-0.99). Menstrual cycle duration was also longer among those with PMDD (OR = 1.47, 95% CI= 1.25-1.72), as was daily caffeine intake (OR = 1.01, 95% CI= 1.00-1.01). PMDD score was also found to be associated with major depressive disorder (OR = 1.06,95% = 1.05-1.07). CONCLUSIONS: PMS and PMDD among young women in Turkey were associated with blood groups, MET scores, and other clinical characteristics that may help clinicians to identify these conditions.

The multifactorial aetiology and management of premenstrual dysphoric disorder with leuprorelin acetate.

Up to 18% of women of reproductive age may experience symptoms during the luteal phase of the menstrual cycle known as premenstrual syndrome (PMS) or its more severe form, premenstrual dysphoric disorder (PMDD). A plethora of symptoms have been described, but both are commonly associated with other mood-related disorders such as major depression causing significant life impairment. Originally known as late luteal phase dysphoric disorder in the DSM-III-R (American Psychiatric Association 1987), the syndrome was renamed PMDD in the DSM-IV (American Psychiatric Association 1994). Between 3% and 8% of women meet the diagnostic criteria for PMDD. Currently, there is no consensus on its aetiology although it is thought to be multifactorial. Biological, genetic, psychological, environmental and social factors have all been suggested. However, an altered sensitivity to the normal hormonal fluctuations that influence functioning of the central nervous system is thought most likely. PMDD is identified in the DSM-5 by the presence of at least five symptoms accompanied by significant psychosocial or functional impairment. During evaluation, it is recommended that clinicians confirm symptoms by prospective patient mood charting for at least two menstrual cycles. Management options include psychotropic agents, ovulation suppression and dietary modification. Selective serotonin reuptake inhibitors (SSRIs) are considered primary therapy for psychological symptoms. Ovulation suppression is another option with the combined oral contraceptive pill (COCP) or GnRH (gonadotropin-releasing hormone) agonists. Rarely symptoms warrant a bilateral oophorectomy and a 6-month trial of GnRH agonists prior to surgery may be prudent to determine its potential efficacy. The authors present the case of a multiparous woman in her mid-30s experiencing severe symptoms during the luteal phase of her menstrual cycle. A trial of the contraceptive pill and SSRIs were unsuccessful. Treatment with leuprorelin acetate (Prostap) improved her symptoms. She therefore elected to undergo a bilateral oophorectomy with resolution of her symptoms. She started hormone replacement therapy (HRT). This case demonstrates the multifactorial aetiology of PMDD and the challenges in its management. Women with PMDD suffer functional impairments comparable with other depressive disorders and yet PMDD and its impact remain under-recognised. As the psychological nature and consequences of PMDD often seem indistinguishable from symptoms of other mental health difficulties, this condition presents distinct diagnostic challenges for healthcare professionals. It is crucial to establish the correct diagnosis using clearly defined criteria because if it is left untreated, it can cause considerable impairment to the woman's quality of life.

Paeonol ameliorates hippocampal neuronal damage by inhibiting GRM5/GABBR2/ß-arrestin2 and activating the cAMP-PKA signaling pathway in premenstrual irritability rats.

Premenstrual dysphoric disorder (PMDD) is a periodic psychiatric disorder with high prevalence in women of childbearing age, seriously affecting patients' work and life. Currently, the international first-line drugs for PMDD have low efficiency and increased side effects. Paeonol, a major component of the traditional Chinese medicine Cortex Moutan, has been applied in treating PMDD in China with satisfactory results, but the therapeutic mechanism is not fully understood. This study aims to evaluate the therapeutic effects and pharmacological mechanisms of paeonol on the main psychiatric symptoms and hippocampal damage in PMDD. We established a premenstrual irritability rat model by the resident-intruder paradigm and performed elevated plus maze and social interactions. And we employed the HE and Nissl staining techniques to observe the therapeutic effect of paeonol on hippocampal damage in PMDD rats. Subsequently, Elisa, qRT-PCR Array, Western Blotting, and cell models were utilized to elucidate the underlying molecular mechanisms through which paeonol intervenes in treating PMDD. In this study, we demonstrated the therapeutic effects of paeonol on irritability, anxiety, and social withdrawal behaviors in rats. In addition, we found that paeonol significantly reduced the serum corticosterone (CORT) level, improved hippocampal morphological structure and neuron number, and reduced hippocampal neuron apoptosis in PMDD rats. Paeonol reduced GRM5, GABBR2, ß-arrestin2, and GRK3 expression levels in hippocampal brain regions of PMDD rats and activated the cAMP/PKA signaling pathway. Inhibitor cell experiments showed that paeonol specifically ameliorated hippocampal injury by modulating the ß-arrestin2/PDE4-cAMP/PKA signaling pathway. The present study demonstrates, for the first time, that paeonol exerts a therapeutic effect on periodic psychotic symptoms and hippocampal injury in PMDD through inhibiting GRM5/GABBR2/ß-arrestin2 and activating cAMP-PKA signaling pathway. These findings enhance our understanding of the pharmacological mechanism underlying paeonol and provide a solid scientific foundation for its future clinical application.

Pre-menstrual Syndrome and Pre-menstrual Dysphoric Disorder in Female Medical Students of Nepal.

Background Pre-menstrual Syndrome and Pre-menstrual Dysphoric Disorder can have negative impact on medical students and remains mostly underdiagnosed. Different treatment modalities like medications (doctor-prescribed or self-medicated), and alternative therapies are used by students to cope with pre-menstrual symptoms. Objective To estimate the prevalence and severity of Premenstrual Syndrome and Premenstrual Dysphoric Disorder among medical students in Nepal along with its impact in their quality of life, their health seeking behavior and treatment modalities used to cope with these disorders. Method A cross-sectional study was conducted among female medical students studying MBBS in various medical colleges in Nepal using a self-administered questionnaire from September 2020 to March 2021. Result The prevalence of Premenstrual Syndrome and Premenstrual Dysphoric Disorder among female medical students in Nepal was 64% and 36.3% respectively as per this study. Among the areas impacted by premenstrual symptoms, concentration in class was the most affected (68.1%), followed by distress (64.6%). Only 7.3% of the responding participants sought medical consultation for their symptoms. Among those who suffered from at least one symptom for any length of time, 34.8% of participants reported of using at least one medication (either prescribed or selfmedication). Similarly, alternative remedies were used by 44.4% of the participants. Conclusion Premenstrual syndrome and premenstrual dysphoric disorder were found to be common in female medical students of Nepal. However, very few students sought medical consultation despite a significant impact in their academic and other activities. Self-medication and traditional therapies were common modalities used for treatment of premenstrual symptoms.

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.

Gender Differences in Premenstrual Syndrome and Premenstrual Dysphoric Disorder Diagnosis and Treatment among Japanese Obstetricians and Gynecologists: A Cross-Sectional Study.

Premenstrual symptoms are characterized by unpleasant psychophysical symptoms that appear during the luteal phase before menstruation and interfere with a woman's quality of life. Premenstrual syndrome (PMS) is a pathological condition with premenstrual symptoms, of which premenstrual dysphoric disorder (PMDD) is a particularly severe psychological symptom. This study aimed to examine the gender differences in the diagnosis and treatment of PMS and PMDD among obstetricians and gynecologists (OB/GYNs) in Japan. Data were obtained from the survey conducted by the Japanese Society of Obstetrics and Gynecology. We used data from 1,257 of the 1,265 OB/GYNs who are engaged in PMS/PMDD practice and reported their gender. Multivariate regression analysis adjusted for propensity scores was performed. Female OB/GYNs were more frequently engaged in treating patients with PMS/PMDD than males [odds ratio (OR) 1.74; 95% confidence interval (CI) 1.36-2.21]. With regard to the diagnostic methods, more female OB/GYNs selected the two-cycle symptom diary than males (OR 2.88; 95% CI 1.80-4.60). Regarding treatment, fewer female OB/GYNs selected selective serotonin reuptake inhibitors as their first-line drug (OR 0.39; 95% CI 0.17-0.89). Gender differences were found in the selection of PMS/PMDD diagnosis and treatment methods among Japanese OB/GYNs.

Characterization of pathogenic factors for premenstrual dysphoric disorder using machine learning algorithms in rats.

We established a methodology using machine learning algorithms for determining the pathogenic factors for premenstrual dysphoric disorder (PMDD). PMDD is a disease characterized by emotional and physical symptoms that occurs before menstruation in women of childbearing age. Owing to the diverse manifestations and various pathogenic factors associated with this disease, the diagnosis of PMDD is time-consuming and challenging. In the present study, we aimed to establish a methodology for diagnosing PMDD. Using an unsupervised machine-learning algorithm, we divided pseudopregnant rats into three clusters (C1 to C3), depending on the level of anxiety- and depression-like behaviors. From the results of RNA-seq and subsequent qPCR of the hippocampus in each cluster, we identified 17 key genes for building a PMDD diagnostic model using our original two-step feature selection with supervised machine learning. By inputting the expression levels of these 17 genes into the machine learning classifier, the PMDD symptoms of another group of rats were successfully classified as C1-C3 with an accuracy of 96%, corresponding to the classification by behavior. The present methodology would be applicable for the clinical diagnosis of PMDD using blood samples instead of samples from the hippocampus in the future.

Exploring diagnosis and treatment of premenstrual dysphoric disorder in the U.S. healthcare system: a qualitative investigation.

BACKGROUND: Premenstrual Dysphoric Disorder (PMDD) is a premenstrual condition that affects 3-8% of the US population, yet knowledge on treatment and consistent diagnostic testing is lacking. While research concerning the epidemiology and pharmaceutical treatments for this condition has increased, there is a lack of qualitative studies on the experiences of patients who live with this condition. The aim of this study was to explore the diagnostic and treatment experiences of PMDD patients in the U.S. healthcare system and identify barriers to diagnosis and treatment. METHODS: This study uses a feminist framework with qualitative phenomenological methods. We recruited participants who identified as having PMDD, regardless of official diagnosis, through online forums within the U.S. PMDD community. The study conducted 32 in depth interviews with participants on their experiences with PMDD diagnosis and treatment. Thematic analysis methods revealed key barriers within the diagnostic and care process including patient, provider, and societal barriers. RESULTS: This study presents a PMDD Care Continuum that represents the timeline of participant experiences beginning from symptom onset towards official diagnosis, treatments, and ongoing management of the condition. Participant experiences demonstrated that much of the diagnostic and treatment processes were burdened on the patient, and that successful navigation within the healthcare system was dependent on high levels of self-advocacy. CONCLUSIONS: This was the first study to describe the qualitative experiences of patients who identified as having PMDD in the U.S. Further research is needed to refine and operationalize diagnostic criteria and treatment guidelines for PMDD.

Premenstrual dysphoric disorder and sexual function: a narrative review.

INTRODUCTION: Premenstrual dysphoric disorder (PMDD) and female sexual dysfunction (FSD) are 2 prevalent illnesses in women that cause distress and affect quality of life. There are plausible biological, social, and psychological links between these 2 conditions. Nevertheless, few studies have examined sexual function in women with PMDD. OBJECTIVES: In this narrative review we summarize the existing literature on sexual function in women with PMDD and with the broader diagnostic classification of premenstrual syndrome and discus the differences between PMDD and more general premenstrual symptomatology, as well as why studying sexual function specifically in PMDD is necessary. We explored reasons why these 2 illnesses may be comorbid and the importance of studying sexual function in this population of women. METHODS: PubMed literature searches were conducted using relevant keywords. RESULTS: Currently, there are few studies examining PMDD and FSD, and the studies available have significant methodologic limitations. CONCLUSIONS: Investigation of sexual function in women with PMDD is needed. Awareness of the comorbidities for PMDD and FSD can allow implementation of targeted interventions for women suffering from these disorders.

Associations of premenstrual symptoms with daily rumination and perceived stress and the moderating effects of mindfulness facets on symptom cyclicity in premenstrual syndrome.

Subthreshold premenstrual symptoms can be impairing even if the diagnostic criteria for premenstrual dysphoric disorder (PMDD) are not reached. Previous research suggests shared psychological risk factors without a clear differentiation of premenstrual syndrome (PMS) from PMDD. This study focuses on a sample with a wide range of premenstrual symptoms not reaching PMDD-criteria and aims to investigate within-person associations of premenstrual symptoms with daily rumination and perceived stress during the late luteal phase as well as cycle-phase specific associations of habitual mindfulness including present-moment-awareness and acceptance with premenstrual symptoms and impairment. Fifty-six naturally cycling women with self-reported premenstrual symptoms completed an online diary on premenstrual symptoms, rumination and perceived stress over two consecutive menstrual cycles, and baseline questionnaires on habitual present-moment-awareness and acceptance. Multilevel analyses revealed cycle-related variations in premenstrual symptoms and impairment (all ps < .001). Higher within-person levels of core and secondary premenstrual symptoms during the late luteal phase predicted increased daily rumination and perceived stress (all ps < .001) and increased somatic symptoms predicted increased rumination (p ≤ .018). Higher habitual present-moment-awareness was linked to lower premenstrual symptom and impairment levels toward the late luteal phase whereas higher habitual acceptance was associated with lower premenstrual functional impairment (p ≤ .015). Premenstrual symptom increases during the late luteal phase in women with PMS seem to be linked to increased daily rumination and perceived stress. Trait present-moment-awareness and acceptance in turn seem to reflect protective factors against premenstrual distress and may represent useful targets for interventions.

Current status and problems in the diagnosis and treatment of premenstrual syndrome and premenstrual dysphoric disorder from the perspective of obstetricians and gynecologists in Japan.

AIM: To investigate the current status and problems in the diagnosis and treatment of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) from the perspective of obstetricians and gynecologists (OB/GYNs) in Japan, the Japanese Society of Obstetrics and Gynecology (JSOG) conducted a national-wide survey. METHODS: An email survey was sent to all JSOG members (16 732) and a web-based survey was conducted using a Google form between September and November 2021. The current status and problems in PMS/PMDD diagnosis and treatment were surveyed in this cross-sectional study. RESULTS: In total, 1312 respondents (7.8% of all JSOG members) completed the questionnaire. In terms of diagnoses and treatment, OB/GYN was preferred over psychiatrist for PMS (91.4% vs. 45%); however, no differences were noted for PMDD (76.1% vs. 73.7%). A total of 1267 (96.6%) respondents engaged in routine PMS/PMDD treatment. Regarding the general diagnosis procedure, 84.4% respondents answered "only a vague medical interview," 8.4% kept a two-cycle symptom diary, and 10.3% used a screening questionnaire. The most commonly used medication was oral contraceptive pills (OCPs) (98.1%), followed by the Kampo, traditional Japanese herbal medicines, Kamishoyosan (73.6%). Concerning first-line drugs for treatment, OCPs were the most common (76.8%), followed by Kampo medicine (19.5%); selective serotonin reuptake inhibitors (SSRIs) were less frequently used (2.6%). Regarding first-line drugs among OCPs, 65.1% respondents reported drospirenone-ethinylestradriol use. CONCLUSIONS: This study indicates that only a few OB/GYNs practicing PMS/PMDD in Japan use a prospective diary, which is an essential diagnostic criterion for PMS/PMDD. Regarding treatment, SSRIs were used less frequently.

Risks of major affective disorders following a diagnosis of premenstrual dysphoric disorder: A nationwide longitudinal study.

Whether a history of premenstrual dysphoric disorder (PMDD) is associated with a subsequent risk of major affective disorders remains unclear. This study aimed to examine the risk of unipolar depression and bipolar disorder in women with PMDD compared with those without PMDD. This study used data from the Taiwan National Health Insurance Research Database. Women who were diagnosed with PMDD and had no history of any major affective disorder were included. The controls were women without PMDD matched for demographics and physical and psychiatric comorbidities. Cox regression was used to estimate the risk of unipolar depression and bipolar disorder. We included 8222 women with PMDD and 32,888 matched controls. After adjusting for potential confounders, we found that the women with PMDD were associated with a higher risk of unipolar depression [hazard ratio (HR) 2.58; 95 % confidence interval (CI), 2.23-2.98] and bipolar disorder (HR 2.50; 95 % CI 1.62-3.88) than the controls. The PMDD group had a younger age at the diagnosis of unipolar depression (37.11 vs 41.59 years) and bipolar disorder (35.59 vs 42.02 years, p = 0.002), and shorter duration between enrollment and onset of unipolar depression (2.97 vs 5.33 years, p < 0.001) and bipolar disorder (3.05 vs 5.57 years, p < 0.001). Our results showed a strong association between PMDD and major affective disorders. Healthcare workers should be aware of patients with PMDD and the risk of developing major affective mental disorders.

Premenstrual disorders: Premenstrual syndrome and premenstrual dysphoric disorder.

Recently, the term premenstrual disorders (PMDs), which includes premenstrual syndrome and premenstrual dysphoric disorder as a continuum, has been proposed. Although the precise etiology of PMDs remains unknown, the involvement of hormonal fluctuations is clear. The brain transmitters, serotonin and γ-amino butyric acid, also seem to be involved. Serotonin reuptake inhibitors and oral contraceptives are the current mainstay of treatment, but these are insufficient. Even the currently used prospective two-period symptom diary is not widely used in actual clinical practice, creating a major problem of discrepancy between research and clinical practice. In this review, I would like to outline the latest information and problems in the etiology, diagnosis, and treatment of PMDs, with an emphasis on promising new therapies.