Longitudinal associations between women's cycle characteristics and sexual motivation using Flo cycle tracking data.

In the current research, we used data from a sample of 16,327 menstrual cycle tracking app users to examine the association between menstrual cycle characteristics and sexual motivation tracked over 10 months of app use. Guided by past work that finds links between menstrual cycle characteristics related to conception risk and sexual motivation, we found that (a) between-women, shorter (r = - 0.04, p = 0.007), more regular cycles predicted small increases in sexual motivation (r = - 0.04, p = 0.001); (b) within-women, shorter cycles predicted greater sexual motivation that month (r = - 0.04, p < 0.001) and (c) the next month (ßs: - 0.10 to - 0.06, ps < 0.001), but (d) changes in sexual motivation did not reliably precede changes in cycle length (ßs: - 0.01 to 0.02, ps > 0.15). Within-woman analyses also revealed that (e) shorter cycles were followed by more frequent reports of fatigue (ß = - 0.06, p < 0.001), insomnia (ß = - 0.03, p < 0.001), and food cravings (ß = - 0.04, p < 0.001). Together, results suggest that menstrual cycles characteristics and sexual motivation may covary together in ways that reflect changing investments in reproduction. Small effect sizes and lack of experimental control warrant cautious interpretations of results.

Factors influencing menstrual regularity among female workers: a cross-sectional analysis study.

BACKGROUND: Regularity of menstrual cycles is an important indicator of women's health and fertility, and female workers are exposed to several factors, such as sleep disorders, stress, and shift work, that affect their menstrual regularity. This makes it necessary to comprehensively identify the determinants of menstrual regularity. Therefore, this study identified the factors affecting menstrual regularity among female workers from physiological, psychological, and situational dimensions based on the theory of unpleasant symptoms. METHODS: This was a secondary analysis of the 2010-2012 Korea National Health and Nutrition Examination Survey and utilized the data of 2418 female workers. Based on the theory of unpleasant symptoms, physiological factors included age, age at menarche, childbirth experience, body mass index, and sleep duration. Psychological factors included stress level, depressive mood, and suicidal ideation. Situational factors included education level, household income, consumption of alcohol, engagement in smoking, and work schedule. The χ²-test and hierarchical logistic regression analysis were performed, reflecting the complex sample design. RESULTS: Age at menarche, childbirth experience, and body mass index among physiological factors and education level and work schedule among situational factors were found to be related to menstrual regularity. A higher risk of menstrual irregularities was found among those who had given birth (versus those who had not), had a high age at menarche (versus those with a low age at menarche), were obese (versus those who had a normal body mass index), had elementary school-level or lesser educational achievements (versus those with college graduate-level or higher educational achievements), and who had a shift work schedule (versus those with a fixed schedule). CONCLUSIONS: Intervention is needed for female workers who have these risk factors, and special attention must be paid to female workers who have a shift work schedule. Additionally, since body mass index can be controlled, intervention concerning body mass index is necessary to reduce menstrual irregularity.

State and trait cognitions differentially affect cyclicity of mood and cortisol in individuals with and without premenstrual dysphoric disorder.

Premenstrual dysphoric disorder (PMDD) is characterized by a cyclical symptom course. Previous research provides limited findings on possible menstrual-cycle-related psychological and psychoendocrinological processes in PMDD. By using ambulatory assessment (AA), we aimed to compare mood and cortisol cyclicity in individuals with PMDD and healthy controls (HC), and to assess effects of habitual and momentary repetitive negative thinking (RNT) and present moment awareness (PMA) on mood and cortisol across the cycle in both groups. Individuals with PMDD and HC (n = 60 each) completed baseline questionnaires on habitual RNT and PMA. Momentary rumination and PMA, positive and negative affect (NA), and saliva-cortisol were assessed over four consecutive days during both the follicular and the late-luteal phase. Individuals with PMDD showed mood cyclicity indicating mood worsening while HC showed cortisol cyclicity indicating decreasing cortisol levels toward the late-luteal phase. In individuals with PMDD, lower habitual RNT and higher habitual PMA predicted better mood only during the follicular phase whereas lower momentary rumination and higher momentary PMA predicted better mood during the late-luteal phase. No effects on cortisol activity were found. In HC, higher habitual PMA predicted lower NA during the late-luteal phase whereas lower momentary rumination and higher momentary PMA predicted stronger cortisol reduction toward the late-luteal phase. While favorable habitual cognitions might not protect individuals with PMDD against premenstrual mood deterioration, respective momentary cognitions may reflect possible protective factors, suggesting an opportunity for microinterventions to directly target late-luteal-phase-specific state processes in affected individuals. The lack of cortisol cyclicity might represent an endocrinological marker for PMDD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Probing corporeal awareness in women through virtual reality induction of embreathment illusion.

We capitalized on the respiratory bodily illusion that we discovered in a previous study and called 'Embreathment' where we showed that breathing modulates corporeal awareness in men. Despite the relevance of the issue, no such studies are available in women. To bridge this gap, we tested whether the synchronization of avatar-participant respiration patterns influenced females' bodily awareness. We collected cardiac and respiratory interoceptive measures, administered body (dis)satisfaction questionnaires, and tracked participants' menstrual cycles via a mobile app. Our approach allowed us to characterize the 'Embreathment' illusion in women, and explore the relationships between menstrual cycle, interoception and body image. We found that breathing was as crucial as visual appearance in eliciting feelings of ownership and held greater significance than any other cue with respect to body agency in both women and men. Moreover, a positive correlation between menstrual cycle days and body image concerns, and a negative correlation between interoceptive sensibility and body dissatisfaction were found, confirming that women's body dissatisfaction arises during the last days of menstrual cycle and is associated with interoception. These findings have potential implications for corporeal awareness alterations in clinical conditions like eating disorders and schizophrenia.

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.

Learning exceptions to category rules varies across the menstrual cycle.

Ways in which ovarian hormones affect cognition have been long overlooked despite strong evidence of their effects on the brain. To address this gap, we study performance on a rule-plus-exception category learning task, a complex task that requires careful coordination of core cognitive mechanisms, across the menstrual cycle (N = 171). Results show that the menstrual cycle distinctly affects exception learning in a manner that parallels the typical rise and fall of estradiol across the cycle. Participants in their high estradiol phase outperform participants in their low estradiol phase and demonstrate more rapid learning of exceptions than a male comparison group. A likely mechanism underlying this effect is estradiol's impact on pattern separation and completion pathways in the hippocampus. These results provide novel evidence for the effects of the menstrual cycle on category learning, and underscore the importance of considering female sex-related variables in cognitive neuroscience research.

[Complex therapy of psychosomatic disorders associated with the female reproductive cycle]. / Kompleksnaya terapiya psikhosomaticheskikh rasstroistv, assotsiirovannykh s reproduktivnym tsiklom zhenshchiny.

Psychosomatic disorders make a great contribution to the structure of reproductive health disorders in women. The purpose of this review was to analyze the available data on effective methods of therapy for psychosomatic disorders associated with the reproductive cycle of women - psychopharmacological, psychotherapeutic, non-drug biological, hormonal. The review summarizes the evidence in relation to the treatment of disorders such as: stress-related menstrual irregularities; premenstrual dysphoric disorder; perinatal affective disorders (especially depression); psychosomatic disorders of the involutionary period. General recommendations on the complex therapy of psychosomatic disorders associated with the menstrual cycle within the framework of an interdisciplinary team have been formed.

Determining menstrual cycle phase: An empirical examination of methodologies and recommendations for improvement in behavioral and brain sciences.

The recent decade has brought an exciting proliferation of behavioral, psychological and neuroscientific research involving the menstrual cycle. However, the reliability and validity of many popular methodologies for determining menstrual cycle phase lack empirical examination. These under-investigated methods include: (1) predicting menstrual cycle phase using self-report information only (e.g., "count" methods), (2) utilizing ovarian hormone ranges to determine menstrual cycle phase, and (3) using ovarian hormone changes from limited measurements (e.g., two time points) to determine menstrual cycle phase. In the current study, we examine the accuracy of these methods for menstrual cycle phase determination using 35-day within-person assessments of circulating ovarian hormones from 96 females across the menstrual cycle. Findings indicate that all three common methods are error-prone, resulting in phases being incorrectly determined for many participants, with Cohen's kappa estimates ranging from -0.13 to 0.53 indicating disagreement to only moderate agreement depending on the comparison. Such methodological challenges are surmountable through careful study design, more frequent hormone assays (when possible), and utilization of sophisticated statistical methods. With increased methodological rigor in behavioral, psychological and neuroscientific research, the field will be poised to detect biobehavioral correlates of ovarian hormone fluctuations for the betterment of the mental health and wellbeing of millions of females.

Emotion recognition and mood along the menstrual cycle.

Previous studies have demonstrated menstrual cycle dependent changes in the recognition of facial emotional expressions, specifically the expression of fear, anger, sadness or disgust. While some studies demonstrate an improvement of emotion recognition performance during the peri-ovulatory phase, when estradiol levels peak, other studies demonstrate a deterioration of emotion recognition performance during the mid-luteal phase, when progesterone levels peak. It has been hypothesized, that these changes in emotion recognition performance mirror mood changes along the menstrual cycle. In the present study, we investigate, whether changes in emotion recognition performance along the menstrual cycle are mediated by mood changes along the menstrual cycle. In a combined cross-sectional and longitudinal study design, two large samples of women completed an emotion recognition task, as well as several mood questionnaires during their menses, peri-ovulatory or mid-luteal cycle phase. 65 women completed the task thrice, once during each cycle phase, order counterbalanced. In order to control for potential learning effects, a sample of 153 women completed the task only once in one of the three cycle phases. In both samples, results demonstrated no significant changes in emotion recognition performance along the menstrual cycle, irrespective of the performance measure investigated (accuracy, reaction time, frequency of emotion classifications) and irrespective of the emotion displayed. Bayesian statistics provided very strong evidence for the null hypothesis, that emotion recognition does not change along the menstrual cycle. There was also no moderation of emotion recognition changes along the menstrual cycle by mood changes along the menstrual cycle. Mood changes along the menstrual cycle followed the expected pattern with highest positive affect and least premenstrual symptoms around ovulation and lowest positive affect, but strongest premenstrual symptoms during menses. Interestingly, premenstrual symptoms were negatively related to estradiol, suggesting a protective effect of estrogen during the luteal cycle phase against mood worsening during the premenstrual phase.

Influencia del ciclo menstrual en el rendimiento físico y cognitivo en mujeres eumenorreicas / Influence of the menstrual cycle on physical and cognitive performance in eumenorrheic women

Introducción: Las hormonas sexuales femeninas propias del ciclo menstrual no solo tienen funciones reproductivas, tambiéninfluyen en otros sistemas fisiológicos pudiendo afectar al rendimiento deportivo y cognitivo. El propósito del presente estudioha sido evaluar distintos aspectos como la composición corporal, la resistencia, la fuerza muscular y algunas capacidadescognitivas en diferentes etapas del ciclo menstrual. Material y método: En el estudio participaron ocho mujeres jóvenes eumenorreicas (edad = 23,1 ± 4,4 años) con ciclosmenstruales regulares. Se realizó una prueba de densitometría y una bioimpedancia para estudiar la composición corporal, unaprueba de memoria visual a corto plazo y un test de tiempo de reacción para evaluar habilidades cognitivas y se analizaroncaracterísticas del músculo (grosor y rigidez del recto anterior y fuerza muscular) junto a una prueba de esfuerzo para evaluarel rendimiento durante las fases folicular media (FF) y lútea media (FL) del ciclo menstrual de las participantes. Resultados: Durante la fase folicular las participantes registraron un mayor tiempo total (FF = 488,5 ± 93,18 s vs. FL = 468,6± 81,29 s; p = 0,015) y una frecuencia cardiaca inicial menor (FF = 83,3 ± 10,23 PPM vs. FL = 92,9 ± 7,67 PPM; p = 0,034) en laprueba de esfuerzo. Además, Respecto a las habilidades cognitivas, en la fase folicular se obtuvieron mejores resultados enel tiempo de reacción tanto con la mano derecha (FF = 0,426 ± 0,082 s vs. FL = 0,453 ± 0,087 s; p = 0,036) como con la manoizquierda (FF = 0,435 ± 0,096 s vs. FL = 0,466 ± 0,077 s; p = 0,034). Por otro lado, se encontró un mayor porcentaje de grasa(FF = 27,3 ± 5,1% vs. FL = 27,9 ± 5,0%; p = 0,041) en la fase lútea. Conclusión: El rendimiento en resistencia y en aspectos cognitivos como es el tiempo de reacción fue mejor en la FaseFolicular mientras que se observó un mayor porcentaje de grasa en la Fase Lútea. Sin embargo, la memoria, la fuerza y lascaracterísticas...(AU)

Introduction: The female sexual hormones typical of the menstrual cycle not only have reproductive functions, they alsoinfluence other physiological systems and can affect sports and cognitive performance. The purpose of this study has beento evaluate different aspects such as body composition, endurance, muscle strength and some cognitive abilities at differentstages of the menstrual cycle. Material and method: Eight young eumenorrheic women (age = 23.1 ± 4.4 years) with regular menstrual cycles participatedin the study. A densitometry and bioimpedance test were performed to study body composition, a short-term visual memorytest and a reaction time test to assess cognitive abilities, and muscle characteristics (thickness and stiffness of the anteriorrectus and muscle strength) along with a progressive test to exhaustion were analyzed to assess performance during themid-follicular (FF) and mid-luteal (FL) phases of the participants’ menstrual cycle. Results: During the follicular phase, the participants registered a greater total time (FF = 488.5 ± 93.18 s vs. FL = 468.6 ± 81.29 s;P = 0.015) and a lower initial heart rate (FF = 83.3 ± 10.23 PPM vs. FL = 92.9 ± 7.67 PPM; P = 0.034) in the progressive test toexhaustion. Regarding cognitive abilities, in the follicular phase, better results were obtained in reaction time both with theright hand (FF = 0.426 ± 0.082 s vs. FL = 0.453 ± 0.087 s; P = 0.036) and with the left hand (FF = 0.435 ± 0.096 s vs. FL = 0.466 ±0.077 s; P = 0.034). On the other hand, a higher percentage of fat (FF = 27.3 ± 5.1% vs. FL = 27.9 ± 5.0%; P = 0.041) was foundin the luteal phase. Conclusion: Performance in endurance and in cognitive test, such as reaction time was better in the Follicular Phase, whilea higher percentage of fat was observed in the Luteal Phase. However, memory, strength and muscular characteristics werenot affected by the hormonal fluctuations of the menstrual cycle.(AU)

Sexual Desire of Women With Fast and Slow Life History Throughout the Ovulatory Cycle.

Findings on female sexual motivation across the ovulatory cycle are mixed. Some studies have reported increased female sexual desire on fertile days or midway through the ovulatory cycle, whereas others have reported increased sexual desire on nonfertile days. We postulated and tested the hypothesis that the pattern of the cyclical change of female sexual desire is associated with women's life history. Female participants completed life-history measures and rated their levels of sexual desire on the survey day and reported the first day of their current and subsequent cycle, respectively (Study 1), or recorded their sexual desire throughout an entire cycle by submitting daily reports (Study 2). Results indicate that women with a fast life history experienced peak sexual desire midcycle, whereas women with a slow life history experienced two peaks of sexual desire midcycle and around their menses. These findings suggest that, consistent with the underlying life history, cyclically differential peaking of sexual desire may serve different reproductive functions.

Examining a window of vulnerability for affective symptoms in the mid-luteal phase of the menstrual cycle.

Particular phases of the menstrual cycle may exacerbate affective symptoms for females with a diagnosed mental health disorder. However, there are mixed findings regarding whether affective symptoms change across the menstrual cycle in females without a clinical diagnosis. The window of vulnerability model proposes that natural increases in ovarian hormones in the mid-luteal phase of the menstrual cycle lead to systematic changes in brain networks associated with affective processing. Consequently, the model posits that females may experience stress more intensely and remember negative events more readily in the mid-luteal phase, increasing their risk for higher affective symptoms. Using a 35-day longitudinal study design, we tested the window of vulnerability model in a non-clinical sample. We tracked naturally cycling females' daily stress and three types of affective symptoms: anxious apprehension, anxious arousal, and anhedonic depression. Using multilevel modeling, we simultaneously modeled within- and between-person associations among stress and menstrual phase for each affective symptom. We found increased anhedonic depression in the mid-luteal phase but not anxious apprehension or anxious arousal. Moreover, we detected a positive association between within- and between-person stress and anxious apprehension and anhedonic depression, but not anxious arousal. These associations were not stronger in the mid-luteal phase. Overall, we provide weak evidence for a window of vulnerability for affective symptoms in the mid-luteal phase of the menstrual cycle. Our findings suggest that stress is a better predictor of fluctuations in affective symptoms than the menstrual cycle. Moreover, our findings highlight the importance of measuring multiple negative affective symptoms because they may be differentially related to stress and the menstrual cycle.

Influence of COVID-19 pandemic and vaccination on the menstrual cycle: A retrospective study in Hungary.

Observations of women and clinicians indicated that the prevalence of menstrual cycle problems has escalated during the COVID-19 pandemic. However, it was not clear whether the observed menstrual cycle changes were related to vaccination, the disease itself or the COVID-19 pandemic-induced psychological alterations. To systematically analyze this question, we conducted a human online survey in women aged between 18 and 65 in Hungary. The menstrual cycle of 1563 individuals were analyzed in our study in relation to the COVID-19 vaccination, the COVID-19 infection, the pandemic itself and the mental health. We found no association between the COVID-19 vaccination, the vaccine types or the COVID-19 infection and the menstrual cycle changes. We also evaluated the menstrual cycle alterations focusing on three parameters of the menstrual cycle including the cycle length, the menses length and the cycle regularity in three pandemic phases: the pre-peak, the peak and the post-peak period in Hungary. Our finding was that the length of the menstrual cycle did not change in any of the periods. However, the menses length increased, while the regularity of the menstrual cycle decreased significantly during the peak of the COVID-19 pandemic when comparing to the pre- and post-peak periods. In addition, we exhibited that the length and the regularity of the menstrual cycle both correlated with the severity of depression during the post-peak period, therefore we concluded that the reported menstrual cycle abnormalities during the peak of COVID-19 in Hungary might be the result of elevated depressive symptoms.

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

PURPOSE OF REVIEW: Anxiety symptoms increase during the peri-menstrual phase of the menstrual cycle in people with anxiety disorders. Whether this reflects a heightened variant of normal menstrual-related changes in psychological states experienced by healthy (i.e. non-anxious) people is unknown. Moreover, menstrual-related change in anxiety symptoms is a poorly understood phenomenon, highlighting a need for pre-clinical models to aid mechanistic discovery. Here, we review recent evidence for menstrual effects on anxiety-like features in healthy humans as a counterpart to recent reviews that have focused on clinically anxious populations. We appraise the utility of rodent models to identify mechanisms of menstrual effects on anxiety and offer suggestions to harmonise methodological practices across species to advance knowledge in this field. RECENT FINDINGS: Consistent with reports in clinical populations, some evidence indicates anxiety symptoms increase during the peri-menstrual period in healthy people, although null results have been reported, and these effects are heterogeneous across studies and individuals. Studies in rats show robust increases in anxiety during analogous phases of the oestrous cycle. Studies in female rats are useful to identify the evolutionarily conserved biological mechanisms of menstrual-related changes in anxiety. Future experimental approaches in rats should model the heterogeneity observed in human studies to increase alignment across species and advance understanding of the individual factors that increase the propensity to experience menstrual-related changes in anxiety.

Menstrual cycle and exogenous attention toward emotional expressions.

Several studies suggest that the menstrual cycle affects emotional processing. However, these results may be biased by including women with premenstrual syndrome (PMS) in the samples. PMS is characterized by negative emotional symptomatology, such as depression and/or anxiety, during the luteal phase. This study aimed to explore the modulation of exogenous attention to emotional facial expressions as a function of the menstrual cycle in women without PMS. For this purpose, 55 women were selected (from an original volunteer sample of 790) according to rigorous exclusion criteria. Happy, angry, and neutral faces were presented as distractors, while both behavioral performance in a perceptual task and event-related potentials (ERPs) were recorded. This task was applied during both phases of the menstrual cycle (luteal and follicular, counterbalanced), and premenstrual symptomatology was monitored daily. Traditional and Bayesian ANOVAs on behavioral data (reaction times and errors in the task) and ERP indices (P1, N170, N2, and LPP amplitudes) confirmed the expected lack of an interaction of phase and emotion. Taken together, these results indicate that women free of PMS present steady exogenous attention levels to emotionally positive and negative stimuli regardless of the menstrual phase.

Menstrual cycle changes and mental health states of women hospitalized due to COVID-19.

PURPOSE: Many studies have evaluated the impact of the COVID-19 pandemic on women's mental health and menstrual changes. However, most of these studies only included nonhospitalized COVID-19 patients, while information on hospitalized women is very limited. Thus, this study aimed to examine the mental health status and menstrual changes in hospitalized female COVID-19 patients. METHODS: A survey was administered to female COVID-19 patients in the isolation ward of a national referral hospital in Indonesia between January and August 2021, and the women were followed up 3 months after discharge. The survey evaluated menstrual patterns and mental health using the Self Reporting Questionnaire-29 (SRQ-29). RESULTS: The study enrolled 158 female patients. There was an increase in patients who had a cycle length of > 32 or < 24 days, and significant increases in menstrual irregularity and heavy menstrual bleeding were noted. Overall, 37.3% of the patients reported a change in menstrual pattern after infection with COVID-19. Based on SRQ-29 scores, 32.3% of the women had neurotic symptoms, 12.7% had psychotic symptoms, and 38.0% had symptoms of posttraumatic stress disorder. Patients with symptoms of mental health disorders were twice as likely to report a menstrual change (OR 2.17, 95% CI 1.12-4.22; p = 0.021). CONCLUSION: Menstrual changes and increased symptoms of mental health disorders occur in hospitalized female COVID-19 patients. The length of isolation was the key factor affecting overall menstrual changes and mental health in hospitalized female COVID-19 patients.

Cognitive processing of emotional information during menstrual phases in women with and without postpartum depression: differential sensitivity to changes in gonadal steroids.

Gonadal steroids (GSs) have been repeatedly shown to play a central role in the onset of postpartum depression (PPD). The underlying mechanisms, however, are only partially understood. We investigated the relationship between cognitive processing of emotional information and naturally occurring hormonal fluctuations in women with and without previous PPD. Euthymic, parous women, with a history (hPPD, n=32) and without a history (nhPPD, n=43) of PPD, were assessed during late-follicular and late-luteal phases. Participants were administered cognitive tasks assessing attention (dot-probe; emotional Stroop), evaluation (self-referential encoding) and incidental recall, and self-report measures. Menstrual-phase-specific differences were found between late-follicular vs. late-luteal phases among hPPD only, with depression-associated patterns observed in the late-luteal phase on the self-referential encoding and incidental recall task and emotional Stroop task, but not on the dot-probe task. No main effect for menstrual phase was found on any of the tasks or questionnaires, apart from the brooding component of rumination. Women with hPPD demonstrate a differential bias in cognitive processing of emotional information that is menstrual phase dependent, and did not correspond to similar difference in mood symptoms. These biases may reflect sensitivity to gonadal steroid fluctuations that are associated with PPD.

Social attention, memory, and memory-guided orienting change across the menstrual cycle.

Numerous studies have shown that perception of emotion and emotional memory vary across the menstrual cycle. However, most of these studies used stimuli that contained not only emotional but also social elements. Importantly, the social cognitive abilities of individuals are as crucial as emotional abilities for danger avoidance and recruitment of allies. Therefore, the issue that natural hormonal fluctuations may affect emotion processing should be revisited. To investigate whether the effects of the menstrual cycle are emotion-specific or can also be attributed to social information processing, the present study examined social attention across the menstrual cycle in three tasks-visual search, memory, and memory-guided orienting-with a combination of behavioral and eye-tracking measures. We used images of people standing upright with neutral emotion as social distractors and everyday objects with physical properties matched as non-social distractors. Thirty-six healthy women without hormone use and with stable menstrual cycles of 26 - 30 days participated in the three tasks in the late follicular phase (FP) and mid-luteal phase (LP), respectively. During visual search, participants were asked to search for targets accompanied by social or non-social distractors in complex scenes. Social attentional bias, as evidenced by longer search times and shorter gaze behaviors for targets with social distractors, was found in the FP but not in the LP. In the following memory task, memory accuracy for targets was higher in the FP than in the LP, and the memory for targets with social distractors was more precise in both phases. Finally, in the orienting task, targets in social scenes were detected more slowly than in non-social scenes in LP. Taken together, these findings point to the interplay between social attention, memory, and memory-oriented attention and reveal the distinct processing pathways for social information in the FP and LP. The underlying mechanisms from an evolutionary perspective and from behavioral and neural basis were discussed.

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

LEARNING OBJECTIVE: After participating in this activity, learners should be better able to:• Discuss and outline the general and overlapping effects of the menstrual cycle on women's mental health. ABSTRACT: A growing body of research demonstrates menstrual cycle-dependent fluctuations in psychiatric symptoms; these fluctuations can therefore be considered as prevalent phenomena. Possible mechanisms underlying these fluctuations posit behavioral, psychological, and neuroendocrine influences. Recent reviews document cyclic exacerbation of symptoms and explore these mechanisms in the context of specific and often single disorders. The question remains, however, as to whether there are general and overlapping effects of the menstrual cycle on women's mental health. To address this gap, we synthesized the literature examining the exacerbation of a variety of psychiatric symptoms across the menstrual cycle in adult women. Results show that the premenstrual and menstrual phases are most consistently implicated in transdiagnostic symptom exacerbation. Specifically, strong evidence indicates increases in psychosis, mania, depression, suicide/suicide attempts, and alcohol use during these phases. Anxiety, stress, and binge eating appear to be elevated more generally throughout the luteal phase. The subjective effects of smoking and cocaine use are reduced during the luteal phase, but fewer data are available for other substances. Less consistent patterns are demonstrated for panic disorder, symptoms of posttraumatic stress disorder, and borderline personality disorder, and it is difficult to draw conclusions for symptoms of generalized anxiety disorder, social anxiety disorder, obsessive-compulsive disorder, and trichotillomania because of the limited data. Future research should focus on developing standardized approaches to identifying menstrual cycle phases and adapting pharmacological and behavioral interventions for managing fluctuations in psychiatric symptoms across the menstrual cycle.

Variables emocionales y food craving: influencia del ciclo menstrual / Emotional variables and food craving: influence of the menstrual cycle

Antecedentes: El ciclo reproductor femenino - que implica interacciones entre el cerebro, el útero y los ovarios - está constituido por la fase folicular o proliferativa (también denominada pre-ovulatoria), posteriormente, tiene lugar la ovulación, tras ella comienza la fase lútea o secretora y, por último, tiene lugar la fase menstrual. Durante el ciclo menstrual la mujer experimenta cambios hormonales que pueden provocarle síntomas físicos, psicológicos y comportamentales como cambios en el apetito, pudiendo afectarle así a su ingesta alimentaria. Un fenómeno observado durante la menstruación es el food craving, definido como una necesidad irresistible de consumir comida (“ansia”), siendo predominante desear consumir alimentos procesados durante la fase premenstrual, conducta que, también se asocia a un estado de ánimo negativo. No obstante, numerosos y diversos patrones alimentarios, así como también fluctuaciones en el estado emocional, se han observado en la mujer durante las diversas fases del ciclo menstrual. Por ello, es necesario una mayor investigación en esta área. Objetivos y método: El presente trabajo, tiene como objetivos observar la variación del food craving en función de las diferentes fases del ciclo menstrual y observar la influencia de variables emocionales (ansiedad-estado de ánimo negativo) en el “ansia por comer” (food craving). Para ello, se ha realizado una búsqueda bibliográfica en las bases de datos PubMed, Scopus y otras fuentes como Wiley Online Library y ResearchGate, para obtener y contrastar las ideas de los autores de estudios previos con respecto al tema.(AU)

Background: The female reproductive cycle which involves interactions between the brain, the uterus and the ovaries, is made up of the follicular or proliferative phase (also called pre-ovulatory), later, ovulation takes place, after which the luteal or secretory phase begins and, finally, the menstrual phase takes place. During the menstrual cycle, the woman experiences hormonal changes that can cause physical, psychological and behavioral symptoms such as changes in appetite, thus affecting her food intake. A phenomenon observed during menstruation is food craving, defined as an irresistible need to consume food ("craving"), predominantly wanting to consume processed foods during the premenstrual phase, a behavior that, is also associated with a negative mood. However, numerous and diverse eating patterns, as well as fluctuations in emotional state, have been observed in women during the various phases of the menstrual cycle. Therefore, further research is needed in this area. Objectives and method: The present work aims to observe the variation of food craving in function of the different phases of the menstrual cycle and to observe the influence of emotional variables (anxiety-negative mood) in the “craving to eat” (food craving). For this, a bibliographic search was carried out in the databases PubMed, Scopus and other sources such as Wiley Online Library and ResearchGate, to obtain and contrast the ideas of the authors of previous studies regarding the topic. Discussion: It has been observed that there is a tendency to a higher energy-food pattern during the luteal phase together with an experience “food craving” also increased during this stage, in comparison with other phases of the menstrual cycle.(AU)