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.

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.

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.

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.

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.

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.

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.

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).

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.

Perimenopausal Effects of Estradiol on Anhedonia and Psychosis Study (PEEPs): study protocol for a neural and molecular mechanistic clinical trial.

BACKGROUND: The perimenopausal transition is accompanied by psychiatric symptoms in over 10% of women. Symptoms commonly include depressed mood and anhedonia and less commonly include psychosis. Psychiatric symptoms have been linked to the depletion and/or variability of circulating estradiol, and estradiol treatment reduces perimenopausal anhedonia and psychosis in some women. Estrogen fluctuations may disrupt function in the mesolimbic reward system in some women, leading to psychiatric symptoms like anhedonia or psychosis. The Perimenopausal Effects of Estradiol on Anhedonia and Psychosis Study (PEEPs) is a mechanistic clinical trial that aims to (1) identify relationships between perimenopausal-onset anhedonia and psychosis and neuromolecular markers of mesolimbic reward responses and (2) determine the extent to which estradiol treatment-induced changes in mesolimbic reward responses are associated with alleviation of perimenopausal onset anhedonia or psychosis. METHODS: This study will recruit 100 unmedicated women ages 44-55 in the late-stage perimenopausal transition, sampling across the range of mild-to-high anhedonia and absent-to-moderate psychosis symptoms. Patients will be randomized to receive either estradiol or placebo treatment for 3 weeks. Clinical outcome measures will include symptoms of anhedonia (measured with Snaith-Hamilton Pleasure Scale; SHAPS) and psychosis (measured with Brief Psychiatric Rating Scale; BPRS psychosis subscale) as well as neural markers of mesolimbic reward system functioning, including reward-related fMRI activation and PET-derived measure of striatal dopamine binding. Pre-treatment associations between (1) SHAPS/BPRS scores and (2) reward-related striatal dopamine binding/BOLD activation will be examined. Furthermore, longitudinal mixed models will be used to estimate (1) symptom and neuromolecular trajectories as a function of estradiol vs. placebo treatment and (2) how changes in reward-related striatal dopamine binding and BOLD activation predict variability in symptom trajectories in response to estradiol treatment. DISCUSSION: This clinical trial will be the first to characterize neural and molecular mechanisms by which estradiol treatment ameliorates anhedonia and psychosis symptoms during the perimenopausal transition, thus laying the groundwork for future biomarker research to predict susceptibility and prognosis and develop targeted treatments for perimenopausal psychiatric symptoms. Furthermore, in alignment with the National Institute for Mental Health Research Domain Criteria initiative, this trial will improve our understanding of a range of disorders characterized by anhedonia, psychosis, and reward system dysfunction. TRIAL REGISTRATION: ClinicalTrials.gov NCT05282277.

Alcohol use and motives for drinking across the menstrual cycle in a psychiatric outpatient sample.

BACKGROUND: Females who misuse alcohol experience high rates of negative physical and mental health consequences. Existing findings are inconsistent but suggest a relationship between ovarian hormones and alcohol use. We aim to clarify how alcohol use and drinking motives vary across the menstrual cycle in female psychiatric outpatients using the luteinizing hormone (LH)-confirmed cycle phase. METHODS: Daily self-reports (n = 3721) were collected from 94 naturally cycling females, recruited for past-month suicidal ideation, during the baseline phase of three parent clinical trials between February 2017 and May 2022. Multilevel logistic and linear models estimated the relationship between the cycle phase (with LH-surge confirmed ovulation) and daily alcohol use or drinking motives, moderated by the weekend. Models were adjusted for age, legal drinking status, substance use disorder, and the COVID-19 pandemic, and included random effects. RESULTS: Participants were generally more likely to drink in the midluteal (vs. perimenstrual) phase, but more likely to drink heavily on weekends in periovulatory and perimenstrual (vs. midluteal) phases. Social motives for drinking were significantly higher on weekends in the periovulatory, mid-follicular, and midluteal phases (vs. weekdays), but this finding was non-significant in the perimenstrual phase. Participants rated drinking to cope higher in the perimenstrual phase (vs. midluteal phase), regardless of the weekend. CONCLUSION: In a psychiatric sample with LH-surge-confirmed ovulation, we find an increased likelihood to drink heavily in periovulatory and perimenstrual phases on weekends. We also find that the perimenstrual phase is associated with increased drinking to cope, and relatively lower weekend social drinking. Finally, random effects across models suggest individual differences in the extent to which the cycle influences drinking. Our findings stress (1) predictable phases of increased high-risk alcohol use across the menstrual cycle, and (2) the importance of individual assessment of cyclical changes in alcohol use to predict and prevent ovulation- and menses-related surges in heavy drinking.

Aging and Pubertal Development Differentially Predict Symptoms of ADHD, Depression, and Impairment in Children and Adolescents: An Eight-Year Longitudinal Study.

Activational effects of the reproductive neuroendocrine system may explain why some youths with ADHD are at greater risk for exacerbated ADHD symptoms (hyperactivity, inattention, impulsivity) during adolescence. For youths diagnosed with ADHD, first signs of ADHD symptoms become noticeable by multiple reporters (e.g., teachers, parents) when children enter schools, typically around kindergarten. The current study examined possible sex differences in ADHD, impairment, and comorbidity due to pubertal effects, as the role of pubertal development in ADHD is understudied. ADHD symptoms, depressive symptoms, impairment, and pubertal stage were assessed annually by multiple reporters in a well-characterized community sample of 849 children over-recruited for ADHD over eight years. Ages ranged from 7 to 13 years (38.16% female) at wave 1. Multilevel models indicated that males had higher levels of hyperactivity, impulsivity, and inattention than females, but that females had higher levels of impairment than males. Inattention symptoms did not show marked maturation changes. Hyperactivity and impulsivity declined as youth aged and impairment increased as youth aged. Lastly, depressive symptoms largely increased as youth aged and were higher amongst youth at later pubertal stages. Put together, aging and pubertal development are associated with improved ADHD symptoms but not for youth with high impairment. Findings from this study contributes to understanding the role that aging, pubertal status, and pubertal development plays in ADHD, impairment, and comorbidity in children and adolescents.

Effects of acute estradiol and progesterone on perimenstrual exacerbation of suicidal ideation and related symptoms: a crossover randomized controlled trial.

Female suicide attempts peak peri-menstrually-around the onset of menses-when the ovarian steroids estradiol (E2) and progesterone (P4) fall rapidly. Given preclinical evidence that withdrawal from either E2 or P4 can provoke behaviors consistent with elevated suicide risk, we hypothesized that withdrawal from one or both of these steroids contributes to perimenstrual exacerbation of suicidal ideation (SI) and related symptoms. In a randomized, controlled, double-blind crossover experiment (NCT03720847), a transdiagnostic sample of naturally cycling, medically healthy psychiatric outpatients reporting past-month SI completed two conditions during two different 14-day experimental intervals (days 7-20 where the luteinizing hormone surge = day 0), separated by a monthlong washout cycle. In the E2 and P4 (EP) condition, participants received transdermal E2 (0.1 mg/day) plus oral micronized P4 (200 mg/day as 100 mg twice daily) to buffer perimenstrual steroid withdrawal. A matched placebo (PBO) condition allowed natural perimenstrual steroid withdrawal. Participants reported daily SI and planning (primary outcomes) and indices of depression (low mood, hopelessness), threat sensitivity (anxiety, perceived stress), executive functioning (difficulty concentrating, impulsivity), and social cognitive bias (rejection sensitivity, perceived burdensomeness). In baseline cycles, no participant met prospective criteria for DSM-5 premenstrual dysphoric disorder, but 59% met all criteria except full follicular symptom remission, and 93% showed the highest SI in the perimenstrual phase. Of 29 randomized, 28 were analyzed (14 EP-PBO, 14 PBO-EP). Experimental administration of E2 and P4 (relative to PBO) reduced perimenstrual exacerbation of SI, suicide planning, depression, hopelessness, perceived stress, rejection sensitivity, and perceived burdensomeness, particularly in the perimenstrual (natural E2 and P4 withdrawal) days. Further, delayed withdrawal from experimental E2 and P4 (but not PBO) recapitulated SI, hopelessness, and rejection sensitivity. Acute perimenstrual withdrawal from ovarian steroids may play a causal role in perimenstrual worsening of depression and SI.

Affective Risk Associated With Menstrual Cycle Symptom Change.

In the present study we test whether cyclical changes in affective symptoms of the menstrual cycle are associated with higher mean levels of those same symptoms. Using prospective daily reports across two full menstrual cycles, from two samples of female University students (n = 213; n = 163), we applied both quartic polynomial regressions and cosine regressions to model cyclical change in symptoms, and to test for mean-level differences in symptoms across the resulting trajectory patterns. Counter to prior findings, but consistent with theoretical expectations, these results show that females who experience menstrual cycle-related changes in affect (whether a perimenstrual or mid-cycle increase) are at risk for higher average levels of affective symptoms. These results suggest that the mid-cycle group should be recognized as a target for future research that is associated with increased risk for chronic negative affective symptoms.

The Use of Task Shifting to Improve Treatment Engagement in an Internet-Based Mindfulness Intervention Among Chinese University Students: Randomized Controlled Trial.

BACKGROUND: Traditional in-person psychotherapies are incapable of addressing global mental health needs. Use of computer-based interventions is one promising solution for closing the gap between the amount of global mental health treatment needed and received. OBJECTIVE: Although many meta-analyses have provided evidence supporting the efficacy of self-guided, computer-based interventions, most report low rates of treatment engagement (eg, high attrition and low adherence). The aim of this study is to investigate the efficacy of an adjunctive treatment component that uses task shifting, wherein mental health care is provided by nonspecialist peer counselors to enhance engagement in an internet-based, self-directed, evidence-based mindfulness intervention among Chinese university students. METHODS: From 3 universities across China, 54 students who reported at least mild stress, anxiety, or depression were randomly assigned to a 4-week internet-based mindfulness intervention (MIND) or to the intervention plus peer counselor support (MIND+), respectively. Be Mindful delivers all the elements of mindfulness-based cognitive therapy in an internet-based, 4-week course. Participants completed daily monitoring of mindfulness practice and mood, as well as baseline and posttreatment self-reported levels of depression, anxiety, stress, and trait mindfulness. We screened 56 volunteer peer counselor candidates who had no former training in the delivery of mental health services. Of these, 10 were invited to participate in a day-long training, and 4 were selected. Peer counselors were instructed to provide 6 brief (15-20 minute) sessions each week, to help encouraging participants to complete the internet-based intervention. Peer counselors received weekly web-based group supervision. RESULTS: For both conditions, participation in the internet-based intervention was associated with significant improvements in mindfulness and mental health outcomes. The pre-post effect sizes (Cohen d) for mindfulness, depression, anxiety, and stress were 0.55, 0.95, 0.89, and 1.13, respectively. Participants assigned to the MIND+ (vs MIND) condition demonstrated significantly less attrition and more adherence, as indicated by a greater likelihood of completing posttreatment assessments (16/27, 59% vs 7/27, 26%; χ21=6.1; P=.01) and a higher percentage of course completion (72.6/100, 72.6% vs 50.7/100, 50.7%; t52=2.10; P=.04), respectively. No significant between-group differences in daily frequency and duration of mindfulness practice were observed. Multilevel logistic growth models showed that MIND+ participants reported significantly greater pre-post improvements in daily stress ratings (interaction estimate 0.39, SE 0.18; t317=2.29; P=.02) and depression (interaction estimate 0.38, SE 0.16; t330=2.37; P=.02) than those in the MIND condition. CONCLUSIONS: This study provides new insights into effective ways of leveraging technology and task shifting to implement large-scale mental health initiatives that are financially feasible, easily transportable, and quickly scalable in low-resource settings. The findings suggest that volunteer peer counselors receiving low-cost, low-intensity training and supervision may significantly improve participants' indices of treatment engagement and mental health outcomes in an internet-based mindfulness intervention among Chinese university students.