A novel method for quantifying affective sensitivity to endogenous ovarian hormones.

Increased sensitivity to ovarian hormone changes is implicated in the etiology of reproductive mood disorders across the female lifespan, including menstrually-related mood disorders, perinatal mood disorders, and perimenopausal depression. Developing a method to accurately quantify sensitivity to endogenous hormone fluctuations may therefore facilitate the prediction and prevention of these mental health conditions. Here, we propose one such method applying a synchrony analysis to compute time-lagged cross-correlations between repeated assessments of endogenous hormone levels and self-reported affect. We apply this method to a dataset containing frequent repeated assessments of affective symptoms and the urinary metabolites of estradiol (E2) and progesterone (P4) in 94 perimenopausal females. These preliminary findings suggest that, with further refinement and validation, the proposed method holds promise as a diagnostic tool to be used in clinical practice and to advance research investigating the etiology of reproductive mood disorders.

Smartphone keyboard dynamics predict affect in suicidal ideation.

While digital phenotyping provides opportunities for unobtrusive, real-time mental health assessments, the integration of its modalities is not trivial due to high dimensionalities and discrepancies in sampling frequencies. We provide an integrated pipeline that solves these issues by transforming all modalities to the same time unit, applying temporal independent component analysis (ICA) to high-dimensional modalities, and fusing the modalities with linear mixed-effects models. We applied our approach to integrate high-quality, daily self-report data with BiAffect keyboard dynamics derived from a clinical suicidality sample of mental health outpatients. Applying the ICA to the self-report data (104 participants, 5712 days of data) revealed components related to well-being, anhedonia, and irritability and social dysfunction. Mixed-effects models (55 participants, 1794 days) showed that less phone movement while typing was associated with more anhedonia (ß = -0.12, p = 0.00030). We consider this method to be widely applicable to dense, longitudinal digital phenotyping data.

Brain network connectivity during peer evaluation in adolescent females: Associations with age, pubertal hormones, timing, and status.

Despite copious data linking brain function with changes to social behavior and mental health, little is known about how puberty relates to brain functioning. We investigated the specificity of brain network connectivity associations with pubertal indices and age to inform neurodevelopmental models of adolescence. We examined how brain network connectivity during a peer evaluation fMRI task related to pubertal hormones (dehydroepiandrosterone and testosterone), pubertal timing and status, and age. Participants were 99 adolescents assigned female at birth aged 9-15 (M = 12.38, SD = 1.81) enriched for the presence of internalizing symptoms. Multivariate analysis revealed that within Salience, between Frontoparietal - Reward and Cinguloopercular - Reward network connectivity were associated with all measures of pubertal development and age. Specifically, Salience connectivity linked with age, pubertal hormones, and status, but not timing. In contrast, Frontoparietal - Reward connectivity was only associated with hormones. Finally, Cinguloopercular - Reward connectivity related to age and pubertal status, but not hormones or timing. These results provide evidence that the salience processing underlying peer evaluation is jointly influenced by various indices of puberty and age, while coordination between cognitive control and reward circuitry is related to pubertal hormones, pubertal status, and age in unique ways.

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.

Is trait rumination associated with affective reactivity to the menstrual cycle? A prospective analysis.

BACKGROUND: A minority of naturally cycling individuals experience clinically significant affective changes across the menstrual cycle. However, few studies have examined cognitive and behavioral constructs that may maintain or worsen these changes. Several small studies link rumination with premenstrual negative affect, with authors concluding that a tendency to ruminate amplifies and perpetuates hormone-sensitive affective symptoms. Replication in larger samples is needed to confirm the validity of rumination as a treatment target. METHOD: 190 cycling individuals (M = 30.82 years; 61.1% Caucasian) were recruited for moderate perceived stress, a risk factor for cyclical symptoms. They completed the Rumination Response Scale at baseline, then reported daily affective and physical symptoms across 1-6 cycles. Multilevel growth models tested trait rumination as a predictor of baseline levels, luteal increases, and follicular decreases in symptoms. RESULTS: The degree of affective cyclicity was normally distributed across a substantial range, supporting feasibility of hypothesis tests and validating the concept of dimensional hormone sensitivity. Contrary to prediction, higher brooding did not predict levels or cyclical changes of any symptom. In a subsample selected for luteal increases in negative affect, brooding predicted higher baseline negative affect but still did not predict affective cyclicity. CONCLUSIONS: An individual's trait-like propensity to engage in rumination may not be a valid treatment target in premenstrual mood disorders. State-like changes in rumination should still be further explored, and well-powered prospective studies should explore other cognitive and behavioral factors to inform development of targeted psychological treatments for patients with cyclical affective symptoms.

Temporal dynamics of neurobehavioral hormone sensitivity in a scaled-down experimental model of early pregnancy and parturition.

The hormonal changes of pregnancy and parturition can trigger robust changes in affective state, particularly among patients with a history of postpartum depression. However, more work is needed to elucidate the temporal dynamics of symptom emergence. The current study explored how quickly hormone-sensitive (HS+) individuals can be differentiated from hormone-insensitive (HS-) controls in the context of a tightly controlled experimental hormone manipulation, and which symptoms demonstrate the most rapid, consistent, and largest response during this protocol. Participants were female, non-pregnant, and euthymic, with a history of DSM-5 major depressive episode with peripartum onset (n = 15) or parous healthy controls with no psychiatric history (n = 15). Perinatal hormonal changes were simulated by inducing hypogonadism, adding back estradiol (E2) and progesterone (P4) to reach first-trimester levels for 8 weeks, and then subsequently withdrawing both hormones. Those reporting a 30% or greater increase during addback or withdrawal on select subscales of the Inventory of Depression and Anxiety Symptoms (IDAS) were identified as HS+. Participants provided daily ratings of symptoms throughout the study via the Daily Record of Severity of Problems. Results indicated that HS+ participants could be differentiated from HS- participants early in the hormone protocol, with many symptoms showing significantly greater change from baseline within the first week of addback. Notably, the most rapid symptom increases were observed for Anger/Irritability, Mood Swings, Overwhelm, Lethargy, Increased Appetite, Joint and Muscle Pain, and Breast Tenderness, reaching 50% of peak group contrast within the first week of hormone addback. The largest group effects were observed for Anger/Irritability, followed by Fatigue and Anxiety, and the most consistent group effects were observed for Anger/Irritability, Interpersonal Conflict, Overwhelm, and Hopelessness. Findings support the role of reproductive hormones in the onset of perinatal affective disorders. The rapid emergence of anger and irritability in HS+ participants suggests that these symptoms may be early indicators of perinatal hormone sensitivity.

Predicting Acute Changes in Suicidal Ideation and Planning: A Longitudinal Study of Symptom Mediators and the Role of the Menstrual Cycle in Female Psychiatric Outpatients With Suicidality.

OBJECTIVE: Cross-sectional and preliminary longitudinal findings suggest that cyclical ovarian hormone fluctuations influence acute suicide risk. The authors provide the first analyses in females with suicidality to investigate which daily symptoms covary with suicidal ideation and planning thoughts, the role of the menstrual cycle in daily symptom variation, how daily fluctuations in symptoms mediate the menstrual cycle-suicidality relationship, and how these associations vary across individuals. METHODS: Naturally cycling psychiatric outpatients (N=119) with past-month suicidal ideation provided daily ratings of psychiatric symptoms (depression, hopelessness, anxiety, feeling overwhelmed, agitation, anhedonia, worthlessness, rejection sensitivity, anger, perceived burdensomeness, and interpersonal conflict), suicidal ideation, and suicidal planning across at least one menstrual cycle. Symptom ratings were decomposed into trait (person-centered mean) and state (daily person-centered mean deviation) components. Five cycle phases were identified in relation to menses onset and ovulation (surge in urine luteinizing hormone level). Hypotheses were tested in multilevel structural equation models. RESULTS: Nearly all psychiatric symptoms covaried with fluctuations in daily suicidal ideation, and a limited set of symptoms (depression, hopelessness, rejection sensitivity, and perceived burdensomeness) predicted within-person increases in suicidal planning. Many patients demonstrated perimenstrual worsening of psychiatric symptoms, suicidal ideation, and suicidal planning. Depressive symptoms (depression, hopelessness, perceived burdensomeness, and anhedonia) were the most robust statistical mediators predicting perimenstrual exacerbation of suicidality. CONCLUSIONS: Research on the menstrual cycle and suicide has been limited historically by small, cross-sectional samples. This study provides the first evidence that measuring day-to-day correlates of suicidality in a large transdiagnostic sample of females with suicidal ideation can contribute to understanding the pathways by which the menstrual cycle influences acute suicide risk.

Attention-deficit/hyperactivity disorder and the menstrual cycle: Theory and evidence.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that exhibits striking sex differences in symptoms, prevalence, and associated problems across development. Etiological factors and mechanisms underlying these sex differences remain one of the most understudied aspects of this disorder. The current paper seeks to provide a novel theoretical framework for understanding this phenomenon by reviewing evidence that females with ADHD may experience a "double whammy" of organizational and activational pubertal hormonal effects. We propose a novel theory of activational effects of cyclical circulating ovarian hormones on ADHD with increasing risk at times of rapid declines in estrogen. These declines may decrease executive function and trait control at two points of the cycle characterized by biphasic affective risk: (1) increases in approach/risk-taking behaviors at mid-cycle (periovulatory) and (2) increases in avoidance/negative affect perimenstrually. Low estrogen and control may then interact with increases in positive and negative affect, respectively, to increase hyperactivity-impulsivity symptoms post-ovulation and inattention symptoms perimenstrually. These interactions may be exacerbated by organizational pubertal effects on relatively overdeveloped limbic circuitry and adolescent-specific social pressures magnified in females with ADHD.

Threat exposure moderates associations between neural and physiological indices of emotion reactivity in adolescent females.

Early life adversity (ELA) characterized by threat (e.g., abuse, witnessing violence) impacts neural and physiologic systems involved in emotion reactivity; however, research on how threat exposure impacts the interplay between these systems is limited. This study investigates ELA characterized by threat as a potential moderator of the association between (a) neural activity during a negative image processing fMRI task and (b) cortisol production following a modified Trier Social Stress Test (TSST). The sample is comprised of 117 young adolescent females (Mage = 11.90 years, SD = 1.69) at elevated risk for internalizing problems. Whole-brain analyses revealed a positive association between cortisol production and increased right lateral orbitofrontal cortex activity during the emotion reactivity task. In moderation models, threat exposure interacted with bilateral amygdala activation (b = -3.34, p = 0.021) and bilateral hippocampal activation (b = -4.14, p = 0.047) to predict cortisol response to the TSST. Specifically, participants with low, but not high, levels of threat exposure demonstrated a positive association between cortisol production and neural activity in these regions, while no significant association emerged for participants with high threat exposure. Findings contribute to the growing field of research connecting physiological and neural emotion processing and response systems, suggesting that dimensions of ELA may uniquely disrupt associations between neural activation and cortisol production.

Smartphone keyboard dynamics predict affect in suicidal ideation.

While digital phenotyping provides opportunities for unobtrusive, real-time mental health assessments, the integration of its modalities is not trivial due to high dimensionalities and discrepancies in sampling frequencies. We provide an integrated pipeline that solves these issues by transforming all modalities to the same time unit, applying temporal independent component analysis (ICA) to high-dimensional modalities, and fusing the modalities with linear mixed-effects models. We applied our approach to integrate high-quality, daily self-report data with BiAffect keyboard dynamics derived from a clinical suicidality sample of mental health outpatients. Applying the ICA to the self-report data (104 participants, 5712 days of data) revealed components related to well-being, anhedonia, and irritability and social dysfunction. Mixed-effects models (55 participants, 1794 days) showed that less phone movement while typing was associated with more anhedonia (ß = -0.12, p = 0.00030). We consider this method to be widely applicable to dense, longitudinal digital phenotyping data.

Analyzing the atypical - Methods for studying the menstrual cycle in adolescents.

BACKGROUND: The female pubertal transition is characterized by a rapidly changing hormone milieu, which is heavily influenced by the first menstrual cycle - menarche. The first year following menarche is associated with menstrual cycles that are irregular and anovulatory. Peripuberty also marks the beginning of a female-biased risk for suicidality and depression, suggesting some influence by the menstrual cycle and ovarian hormone fluctuations. However, there are limited methods and guidelines for studying the menstrual cycle and related affective symptoms in this developmental window. Thus, this study's objective was to identify the most accurate methods for detecting ovulation in irregular cycles (Part 1) and develop guidelines based on these methods for determining menstrual cycle phases. These methods were applied to investigate hormones and affective symptoms based on cycle phase and ovulation status in a sample of peripubertal females (Part 2). METHODS: Thirty-two peripubertal females (ages 11-14) provided daily urine samples of estrogen (E1G) and progesterone (PdG) metabolites and luteinizing hormone (LH), and ratings of affective symptoms for one menstrual cycle. Ten literature-derived methods for determining the presence of an LH-peak or PdG rise were compared, focusing on their feasibility for psychological research. RESULTS: Methods by Sun et al. (2019) and Park et al. (2007) most accurately detected PdG rises and LH peaks in this sample, identifying 40.6% of cycles as ovulatory. As expected, ovulatory participants showed greater LH in the periovulatory phase (p = .001), greater PdG in the mid-luteal phase (p < .0001), and greater E1G in the periovulatory phase (p = .001) compared with anovulatory participants. Exemplary methods to compare psychological symptoms between both groups are provided. CONCLUSIONS: Recommendations and guidelines for studying the menstrual cycle in irregular cycling adolescents are offered. Novel methods for ovulation detection identified phase-specific hormonal patterns in anovulatory and ovulatory adolescent cycles.

A scoping review of hormonal clinical trials in menstrual cycle-related brain disorders: Studies in premenstrual mood disorder, menstrual migraine, and catamenial epilepsy.

Cyclic variations in hormones during the normal menstrual cycle underlie multiple central nervous system (CNS)-linked disorders, including premenstrual mood disorder (PMD), menstrual migraine (MM), and catamenial epilepsy (CE). Despite this foundational mechanistic link, these three fields operate independently of each other. In this scoping review (N = 85 studies), we survey existing human research studies in PMD, MM, and CE to outline the exogenous experimental hormone manipulation trials conducted in these fields. We examine a broad range of literature across these disorders in order to summarize existing diagnostic practices and research methods, highlight gaps in the experimental human literature, and elucidate future research opportunities within each field. While no individual treatment or study design can fit every disease, there is immense overlap in study design and established neuroendocrine-based hormone sensitivity among the menstrual cycle-related disorders PMD, MM, and CE. SCOPING REVIEW STRUCTURED SUMMARY: Background. The menstrual cycle can be a biological trigger of symptoms in certain brain disorders, leading to specific, menstrual cycle-linked phenomena such as premenstrual mood disorders (PMD), menstrual migraine (MM), and catamenial epilepsy (CE). Despite the overlap in chronicity and hormonal provocation, these fields have historically operated independently, without any systematic communication about methods or mechanisms. OBJECTIVE: Online databases were used to identify articles published between 1950 and 2021 that studied hormonal manipulations in reproductive-aged females with either PMD, MM, or CE. We selected N = 85 studies that met the following criteria: 1) included a study population of females with natural menstrual cycles (e.g., not perimenopausal, pregnant, or using hormonal medications that were not the primary study variable); 2) involved an exogenous hormone manipulation; 3) involved a repeated measurement across at least two cycle phases as the primary outcome variable. CHARTING METHODS: After exporting online database query results, authors extracted sample size, clinical diagnosis of sample population, study design, experimental hormone manipulation, cyclical outcome measure, and results from each trial. Charting was completed manually, with two authors reviewing each trial. RESULTS: Exogenous hormone manipulations have been tested as treatment options for PMD (N = 56 trials) more frequently than MM (N = 21) or CE (N = 8). Combined oral contraceptive (COC) trials, specifically those containing drospirenone as the progestin, are a well-studied area with promising results for treating both PMDD and MM. We found no trials of COCs in CE. Many trials test ovulation suppression using gonadotropin-releasing hormone agonists (GnRHa), and a meta-analysis supports their efficacy in PMD; GnRHa have been tested in two MM-related trials, and one CE open-label case series. Finally, we found that non-contraceptive hormone manipulations, including but not limited to short-term transdermal estradiol, progesterone supplementation, and progesterone antagonism, have been used across all three disorders. CONCLUSIONS: Research in PMD, MM, and CE commonly have overlapping study design and research methods, and similar effects of some interventions suggest the possibility of overlapping mechanisms contributing to their cyclical symptom presentation. Our scoping review is the first to summarize existing clinical trials in these three brain disorders, specifically focusing on hormonal treatment trials. We find that PMD has a stronger body of literature for ovulation-suppressing COC and GnRHa trials; the field of MM consists of extensive estrogen-based studies; and current consensus in CE focuses on progesterone supplementation during the luteal phase, with limited estrogen manipulations due to concerns about seizure provocation. We argue that researchers in any of these respective disciplines would benefit from greater communication regarding methods for assessment, diagnosis, subtyping, and experimental manipulation. With this scoping review, we hope to increase collaboration and communication among researchers to ultimately improve diagnosis and treatment for menstrual-cycle-linked brain disorders.

Effects of estrogen and progesterone on neuroactive steroids and cytokines in patients with suicidality.

BACKGROUND: In ovulating psychiatric patients experiencing suicidality, suicidal ideation (SI) often peaks perimenstrually. Our recent double-blind, placebo-controlled, crossover randomized clinical trial (RCT; NCT03720847) showed that perimenstrual administration of estradiol and progesterone (EP) can prevent this peak in SI and depressed mood. In this pre-registered follow-up analysis, we studied how the menstrual cycle and experimental manipulation affected two neurobiological systems associated with the menstrual cycle and suicide risk: GABAergic neuroactive steroids (NAS) and peripheral cytokines. METHODS: In 26 psychiatric outpatients with natural menstrual cycles and past-month SI, we analyzed serum samples from three blood draws (midluteal, perimenstrual, midfollicular) per experimental condition (EP vs placebo) timed to a luteinizing hormone-surge ovulation test. Using gas chromatography/mass spectrometry (GC/MS), we measured the progesterone (P4)-derived pregnane NAS (3α,5α)- 3-hydroxypregnan20-one (3α,5α-THP), (3α,5ß)- 3-hydroxypregnan-20-one (3α,5ß-THP), (3α,5α)- 3,21-dihydroxypregnan-20-one (3α,5α-THDOC), (3α,5α)- 3-hydroxyandrostan-17-one (3α,5α-A), the androstane NAS (3α,5ß)- 3-hydroxyandrostan-17-one (3α,5ß-A), (3α,5α,17ß)-androstane-3,17-diol (3α,5α-A-diol), (3α,5ß,17ß)-androstane-3,17-diol (3α,5ß-A-diol), and their precursor pregnenolone. High sensitivity multiplex assay kits quantified peripheral cytokines IL-1ß, IL-6, and TNF-α. RESULTS: P4-derived NAS fluctuated in parallel with P4 and increased with exogenous perimenstrual administration of EP. Conversely, androstane NAS either did not fluctuate or fluctuated inversely from P4, and these NAS decreased with exogenous EP. Peripheral cytokines did not show cyclical patterns, but each significantly predicted SI, depressed mood, or anxiousness. Concomitant SSRI medication use predicted lower androstane NAS. CONCLUSIONS: While preliminary and exploratory, our findings provide critical descriptive context for future studies. Further, our work presents menstrual cycle-related patterns for ten frequently-studied biomarkers, allowing for improved quality of comparisons involving naturally-cycling populations in research.

Improving rigor through gender inclusivity in reproductive psychiatric science.

Accurately defining the individuals that research involves and generalizes to is critical for rigorous and reproducible science. In reproductive psychiatry, which historically focuses on the impact of the menstrual cycle, pregnancy, and menopause on mental health, this means moving beyond characterizing samples and relevant populations as "women" in favor of language that precisely identifies the physiological characteristics pertinent to the research being conducted and accurately reflects the varied genders represented in those populations. Concrete recommendations are provided for precise use of sex and gender terminology and gender inclusivity throughout the scientific process, including study conceptualization, etiquette in research environments, recruitment, methods, and dissemination. Recommendations are discussed in depth and presented in a checklist format for ease of use by research teams. Suggested items for assessing gender and relevant sex-related physiology in the context of reproductive psychiatry are also provided.

What's Stopping Us? Using GnRH Analogs With Stable Hormone Addback in Treatment-Resistant Premenstrual Dysphoric Disorder: Practical Guidelines and Risk-Benefit Analysis for Long-term Therapy.

Objective: Despite the documented success of gonadotropin-releasing hormone analogs (GnRHa) for the treatment of treatment-resistant premenstrual dysphoric disorder (PMDD), many patients struggle to find providers who have sufficient knowledge of PMDD and its evidence-based treatments and/or who are comfortable treating PMDD after first-line treatment options have failed. Here, we discuss the barriers to initiating GnRHa for treatment-resistant premenstrual dysphoric disorder (PMDD) and offer practical solutions to address these barriers for providers who encounter patients with treatment-resistant PMDD but may not have the necessary expertise or comfort with providing evidence-based treatments (ie, gynecologists, general psychiatrists). We have included supplementary materials including patient and provider handouts, screening tools, and treatment algorithms with the hope that this review may serve as a primer on PMDD and the use of GnRHa with hormonal addback as a treatment, as well as a guideline for clinicians delivering this treatment to patients in need.Options: In addition to offering practical treatment guidelines for first and second lines of treatment for PMDD, this review offers an in-depth discussion of GnRHa for treatment-resistant PMDD.Outcomes: The burden of illness in PMDD is estimated to be similar to that of other mood disorders, and those suffering from PMDD are at a high risk for suicide.Evidence: We present a selective review of relevant clinical trials evidence supporting the use of GnRHa with addback hormones in treatment-resistant PMDD (the most recent evidence cited was published in 2021), highlighting the rationale for addback hormones and presenting the different possible hormonal addback approaches.Values: The PMDD community has and continues to suffer from debilitating symptoms despite the known interventions. This article provides guidance for implementing GnRHa into practice among a broader scope of clinicians including general psychiatrists.Benefits, Harms, and Costs: The primary benefit of implementing this guideline is that a broad range of clinicians beyond reproductive psychiatrists who encounter patients with PMDD will have a template for assessing and treating PMDD and implementing GnRHa treatment when first-line treatments fail. Harms are expected to be minimal; however, some patients may have side effects or adverse reactions to the treatment or may not respond as they had hoped. Costs of GnRHa can be high depending on insurance coverage. We provide information within the guideline to help navigate this barrier.Recommendations: (1) Prospective symptom rating in evaluating for PMDD is necessary for diagnosis and evaluating treatment response. (2) SSRIs and oral contraceptives should be trialed as the first- and second-line treatments for PMDD. (3) When first- and second-line treatments have failed to yield symptom relief, the use of GnRHa with hormone addback should be considered. Risks and benefits of GnRHa should be weighed among clinicians and patients, and potential barriers to access should be discussed.Validation: This article adds to the available systematic reviews on the effectiveness of GnRHa in the treatment of PMDD and Royal College of Obstetrics and Gynecology's guidelines on the treatment of PMDD.

Cyclical exacerbation of suicidal ideation in female outpatients: Prospective evidence from daily ratings in a transdiagnostic sample.

Suicide is a leading cause of death among females of reproductive age. The menstrual cycle is a plausible yet understudied trigger for acute suicide risk. Cross-sectional studies have demonstrated a greater frequency of suicide attempts and deaths in the weeks before and after the onset of menses compared to other cycle phases. Here, using prospective daily ratings, we examine the relationship between the cycle and suicidal ideation (SI) and related symptoms known to show a cyclical change in some patients (depression, hopelessness, guilt, rejection sensitivity, interpersonal conflict, anxiety, mood swings, and anger/irritability). Thirty-eight naturally cycling outpatients recruited for past-month SI reported SI severity and other symptoms across an average of 40 days. Participants were excluded for hormone use, pregnancy, irregular cycles, serious medical illness, and body mass index > 29.9 or < 18. Intraclass correlations ranged from .29 to .46, highlighting that most symptom variance lies within-person. Cyclical worsening of symptoms was evaluated using phase contrasts in multilevel models. Most symptoms, including SI, were significantly worse in the perimenstrual phase than in all other phases. Additionally, anger/irritability was higher in the midluteal than in the midfollicular phase, and several symptoms of depression were higher in the midfollicular than in the periovulatory phase. Otherwise, symptoms did not significantly differ between the midluteal, midfollicular, and periovulatory phases. Cycle phase predictors accounted for 25% of the within-person variance in SI. Females with SI may be at risk for perimenstrual worsening of SI and related symptoms. These findings highlight the importance of assessing the cycle phase for improved prediction of suicide risk. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Menstrual cycle-driven vs noncyclical daily changes in sexual desire.

BACKGROUND: Past research on the association between sexual desire and the menstrual cycle has provided inconclusive results and has not considered the potential influence of psychological and physical changes that are frequently associated with the menstrual cycle. AIM: To test the strength of association between the menstrual cycle (and associated symptoms) and changes in sexual desire. METHODS: Prospective daily reports across 2 full menstrual cycles (2 months) from a sample of female university students (n = 213), were analysed. Analyses tested for average effects of the menstrual cycle on sexual desire, individual differences in these effects, and cyclical and noncyclical associations between sexual desire and the 9 menstrual cycle-related changes. Note that data presented in the current article come from a larger study from which other reports have been published. OUTCOMES: Target variables were (1) daily change in sexual desire and (2) daily reports of 5 psychological changes and 4 physical changes that are commonly associated with the menstrual cycle. RESULTS: Results showed that when considering average effects across participants, the menstrual cycle was associated with a small midcycle increase in sexual desire. However, multilevel analyses showed large individual differences in how the menstrual cycle influences sexual desire. Specifically, some participants showed a midcycle increase, others a perimenstrual increase, and others no change across the menstrual cycle. Moreover, results demonstrated that psychological changes were more important for predicting sexual desire as compared with physical changes. CLINICAL IMPLICATIONS: These results suggest that daily measurement of sexual desire across multiple menstrual cycles may be an important tool in the assessment of sexual desire among some females. STRENGTHS AND LIMITATIONS: Strengths of this study are the daily assessment of sexual desire and all symptoms for 2 menstrual cycles and multilevel analyses that allow the study of individual differences. Limitations include limited measurement of sexual desire based on only 2 questions and the lack of measures of relationship status and sexual orientation. CONCLUSION: Emphasis is placed on the need to apply more rigorous research methods and to abandon simplistic average-effects models that are based on outdated theories and stereotypes.

Life stress influences the relationship between sex hormone fluctuation and affective symptoms in peripubertal female adolescents.

Female adolescents have a greatly increased risk of depression starting at puberty, which continues throughout the reproductive lifespan. Sex hormone fluctuation has been highlighted as a key proximal precipitating factor in the development of mood disorders tied to reproductive events; however, hormone-induced affective state change is poorly understood in the pubertal transition. The present study investigated the impact of recent stressful life events on the relationship between sex hormone change and affective symptoms in peripubertal female participants. Thirty-five peripubertal participants (ages 11-14, premenarchal, or within 1 year of menarche) completed an assessment of stressful life events, and provided weekly salivary hormone collections [estrone, testosterone, dehydroepiandrosterone (DHEA)] and mood assessments for 8 weeks. Linear mixed models tested whether stressful life events provided a context in which within-person changes in hormones predicted weekly affective symptoms. Results indicated that exposure to stressful life events proximal to the pubertal transition influenced the directional effects of hormone change on affective symptoms. Specifically, greater affective symptoms were associated with increases in hormones in a high stress context and decreases in hormones in a low stress context. These findings provide support for stress-related hormone sensitivity as a diathesis for precipitating affective symptoms in the presence of pronounced peripubertal hormone flux.