Insomnia, Inattention and Fatigue Symptoms of Women with Premenstrual Dysphoric Disorder

Premenstrual Symptoms Risk Factors Among Newly Graduated Nurses in Shift Work: A Prospective Longitudinal Study

PURPOSE

The premenstrual symptoms (PMSs) are a common health issue affecting women of reproductive age and are associated with various physiological, psychological, and situational factors. Newly graduated nurses, when suddenly exposed to excessive workloads and shift work, may experience disturbances such as sleep disorders, fatigue, depression, and stress. These factors are related to PMS, and their occurrence varies. Therefore, this study aimed to understand the changes in PMS and its risk factors among newly graduated nurses across shift work periods, and investigate the longitudinal relationships between PMS and its risk factors based on the theory of unpleasant symptoms.

METHODS

This study constituted a secondary data analysis and employed a prospective longitudinal design. Newly graduated nurses were assessed three times: before starting shift work, six months after initiating shift work, and 18 months thereafter. Physiological (age, body mass index, alcohol consumption, dietary behavior), psychological (sleep quality, fatigue, depression, stress, life satisfaction), and situational (social support) factors were included as PMS-related factors.

RESULTS

PMS worsened six months after the initiation of shift work compared with those before, and this aggravation persisted even after 18 months of shift work (p < .001). Age (p = .043), sleep quality (p = .004), and fatigue (p < .001) were associated with PMS. An interaction between time and depression that affected PMS was observed (p = .021).

CONCLUSION

Newly graduated nurses need to pay attention to the exacerbation of PMS after initiating shift work. Interventions to improve sleep quality and reduce fatigue are crucial for novice nurses, irrespective of shiftwork duration. Additionally, it is important to assess depressive symptoms before starting shift work and implement early interventions. Furthermore, the need for interventions addressing depression escalates with the increase in shiftwork duration.

The behavioral and physiological correlates of affective mood switching in premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD), a more severe manifestation of premenstrual syndrome (PMS), is characterized by emotional, behavioral, and physical symptoms that begin in the mid-to-late luteal phase of the menstrual cycle, when estradiol and progesterone levels precipitously decline, and remit after the onset of menses. Remotely monitoring physiologic variables associated with PMDD depression symptoms, such as heart rate variability (HRV), sleep, and physical activity, holds promise for developing an affective state prediction model. Switching into and out of depressive states is associated with an increased risk of suicide, and therefore, monitoring periods of affective switching may help mitigate risk. Management of other chronic health conditions, including cardiovascular disease and diabetes, has benefited from remote digital monitoring paradigms that enable patients and physicians to monitor symptoms in real-time and make behavioral and medication adjustments. PMDD is a chronic condition that may benefit from real-time, remote monitoring. However, clinical practice has not advanced to monitoring affective states in real-time. Identifying remote monitoring paradigms that can detect within-person affective state change may help facilitate later research on timely and efficacious interventions for individuals with PMDD. This narrative review synthesizes the current literature on behavioral and physiological correlates of PMDD suitable for remote monitoring during the menstrual cycle. The reliable measurement of heart rate variability (HRV), sleep, and physical activity, with existing wearable technology, suggests the potential of a remote monitoring paradigm in PMDD and other depressive disorders.

Comorbid Attention Deficit Hyperactivity Disorder in Women with Premenstrual Dysphoric Disorder

Background: This study evaluated the associations between inattention, impulsivity, and attention deficit hyperactivity disorder (ADHD) in women with premenstrual dysphoric disorder (PMDD) across the menstrual cycle. Methods: This study enrolled 58 women with PMDD and 50 controls. Symptoms were assessed using the Attention and Performance Self-Assessment Scale and the Dickman Impulsivity Inventory during the pre-ovulatory (PO), mid-luteal (ML), and late luteal (LL) phases of the menstrual cycle. Results: The chi-square analysis revealed a significant association between ADHD and PMDD. Women with PMDD experienced a greater increase in scores of prospective everyday memory problems and difficulties maintaining focused attention from the PO phase to LL phase than the controls; in addition, they had higher scores in dysfunctional impulsivity during the LL phase than the controls. Among women in the PMDD group, those with ADHD had higher scores in prospective everyday memory problems and dysfunctional impulsivity during the PO and ML phases than those without ADHD. Women in the PMDD group without ADHD had a greater increase in scores of prospective everyday memory problems, difficulties maintaining focused attention, and dysfunctional impulsivity from the PO phase to the LL phase than the controls. Conclusion: Our study demonstrated that women with PMDD were more likely to have comorbid ADHD and higher levels of inattention across the menstrual cycle. PMDD was associated with increased impulsivity during the LL phase, independent of ADHD, but it was not associated with a persistent elevation of impulsivity. Furthermore, PMDD women with comorbid ADHD experienced higher inattention and impulsivity during the PO and ML phases than those without it. Thus, ADHD comorbidity should be assessed when assessing or intervening in the symptoms of inattention and impulsivity in women with PMDD.

The potential role of the orexin system in premenstrual syndrome

Premenstrual syndrome (PMS) occurs recurrently during the luteal phase of a woman's menstrual cycle and disappears after menstruation ends. It is characterized by abnormal changes in both the body and mood, and in certain cases, severe disruptions in daily life and even suicidal tendencies. Current drugs for treating PMS, such as selective serotonin reuptake inhibitors, do not yield satisfactory results. Orexin, a neuropeptide produced in the lateral hypothalamus, is garnering attention in the treatment of neurological disorders and is believed to modulate the symptoms of PMS. This paper reviews the advancements in research on sleep disturbances, mood changes, and cognitive impairment caused by PMS, and suggests potential pathways for orexin to address these symptoms. Furthermore, it delves into the role of orexin in the molecular mechanisms underlying PMS. Orexin regulates steroid hormones, and the cyclic fluctuations of estrogen and progesterone play a crucial role in the pathogenesis of PMS. Additionally, orexin also modulates the gamma-aminobutyric acid (GABA) system and the inflammatory response involved in coordinating the mechanism of PMS. Unraveling the role of orexin in the pathogenesis of PMS will not only aid in understanding the etiology of PMS but also hold implications for orexin as a novel target for treating PMS.

Menstrual disturbances and its association with sleep disturbances: a systematic review

BACKGROUND

Menstrual disturbances harm women's health, and general well-being. As growing evidence highlights the relationship between sleep and menstrual disturbances, it is imperative to comprehensively examine the association between sleep and menstrual disturbance considering the multiple dimensions of sleep. This systematic review aims to identify the association between sleep and menstrual disturbances by evaluating using Buysse's sleep health framework.

METHODS

A comprehensive search of the literature was conducted in PubMed, EMBASE, psychINFO, and CINAHL to identify publications describing any types of menstrual disturbances, and their associations with sleep published between January 1, 1988 to June 2, 2022. Quality assessment was conducted using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The findings were iteratively evaluated menstrual disturbances and their association with sleep using Buysse's sleep health framework. This framework understands sleep as multidimensional concept and provides a holistic framing of sleep including Satisfaction, Alertness during waking hours, Timing of sleep, Efficiency, and Sleep duration. Menstrual disturbances were grouped into three categories: premenstrual syndrome, dysmenorrhea, and abnormal menstrual cycle/heavy bleeding during periods.

RESULTS

Thirty-five studies were reviewed to examine the association between sleep and menstrual disturbances. Premenstrual syndrome and dysmenorrhea were associated with sleep disturbances in sleep health domains of Satisfaction (e.g., poor sleep quality), Alertness during waking hours (e.g., daytime sleepiness), Efficiency (e.g., difficulty initiating/maintaining sleep), and Duration (e.g., short sleep duration). Abnormal menstrual cycle and heavy bleeding during the period were related to Satisfaction, Efficiency, and Duration. There were no studies which investigated the timing of sleep.

CONCLUSIONS/IMPLICATIONS

Sleep disturbances within most dimensions of the sleep health framework negatively impact on menstrual disturbances. Future research should longitudinally examine the effects of sleep disturbances in all dimensions of sleep health with the additional objective sleep measure on menstrual disturbances. This review gives insight in that it can be recommended to provide interventions for improving sleep disturbances in women with menstrual disturbance.

Preventing recurrence of postpartum depression by regulating sleep

INTRODUCTION

Women are at a high risk of recurrence of depression in the postpartum period. Given the circumscribed duration of the risk period and knowledge of its triggers, postpartum depression should be easily preventable. However, prophylactic drug studies have reported contradictory findings partly due to the heterogeneity of the disorder. Currently, there are no studies on the efficacy of psychotherapy in the prevention of postpartum depression in women with major depressive or bipolar disorder.

AREAS COVERED

This review evaluates the results of controlled medication and psychotherapeutic studies in the prevention of depression in women with major depressive disorder or bipolar disorder; it further suggests that the management of sleep loss/insomnia may be an effective strategy in the prevention of postpartum depression.

EXPERT OPINION

A thorough understanding of the clinical course of the antecedent mood disorder and historical treatment response is necessary before the implementation of strategies for the prevention of postpartum depression. Targeting disturbed and/or insufficient sleep - a common and early transdiagnostic symptom of peripartum psychiatric disorders - may be a more effective intervention for the prevention of postpartum depression and psychiatric comorbidities in some individuals than the traditional approach of antidepressant use.

Resident intruder paradigm-induced PMDD rat model of premenstrual irritability: behavioral phenotypes, drug intervention, and biomarkers

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is high in women of childbearing age with obvious premenstrual irritability. However, reliable animal models are still lacking.

MATERIALS AND METHODS

PMDD rat model of premenstrual irritability was induced by the resident-intruder paradigm (RIP). Behavioral characteristics were determined by the aggressive behavior test, elevated plus maze, open-field test, and breast width measurement. The estrous cycle in rats was artificially manipulated by bilateral ovariectomy and exogenous hormone injection to verify the model phenotype's dependence on the estrous cycle. Fluoxetine and Baixiangdan capsules were administered by gavage to determine the symptom improvement effect of PMDD irritability. Biomarkers in serum and brain were detected using ELISA, and GABRA4 was detected in the brain by RT-PCR and Western blot.

RESULTS

Rat models demonstrated similar clinical characteristics as PMDD, such as premenstrual irritability and anxiety, and the above symptoms were estrous cycle-dependent. In addition, the levels of progesterone (P) and ALLO hormones decreased in the serum, hippocampus, amygdala, and frontal lobe in the NR phase. The contents of 5-HT in the brain were significantly increased, while NE and GABA contents were considerably reduced. Moreover, mRNA and protein expression of GABRA4 levels in model rats' amygdala, hippocampus, and frontal lobe were significantly increased, while drug intervention downregulated its expression in these tissues.

CONCLUSION

Premenstrual irritability rat model of PMDD demonstrates a behavioral phenotype consistent with the clinical symptoms of PMDD and micro index. The increased levels of 5-HT, NE, and expression of GABRA4, as well as the decrease of GABA, P, and ALLO levels, may be critical biomarkers of the abnormal changes that occur during the pathogenesis of PMDD.

ROLE OF GUT MICROBIOTA IN DEPRESSION: UNDERSTANDING MOLECULAR PATHWAYS, RECENT RESEARCH, AND FUTURE DIRECTION

Gut microbiota, also known as the "second brain" in humans because of the regulatory role it has on the central nervous system via neuronal, chemical and immune pathways. It has been proven that there exists a bidirectional communication between the gut and the brain. Increasing evidence supports that this crosstalk is linked to the etiology and treatment of depression. Reports suggest that the gut microbiota control the host epigenetic machinery in depression and gut dysbiosis causes negative epigenetic modifications via mechanisms like histone acetylation, DNA methylation and non-coding RNA mediated gene inhibition. The gut microbiome can be a promising approach for the management of depression. The diet and dietary metabolites like kynurenine, tryptophan, and propionic acid also greatly influence the microbiome composition and thereby, the physiological activities. This review gives a bird-eye view on the pathological updates and currently used treatment approaches targeting the gut microbiota in depression.

Early and Late Luteal Executive Function, Cognitive and Somatic Symptoms, and Emotional Regulation of Women with Premenstrual Dysphoric Disorder

Objective: Cognitive and somatic symptoms were vital factors in developing personalized treatment of depressive disorder. The study aimed to evaluate the following: (1) the cognitive and somatic symptoms of premenstrual dysphoric disorder (PMDD) in the early luteal (EL) and later luteal (LL) phase; and (2) their association with depression and functional impairment of PMDD. Methods: We prospectively evaluated executive function, emotion regulation, cognitive and somatic symptoms, and depression in the EL and LL phases in women with PMDD. Sixty-three women with PMDD and 53 healthy controls completed Simon’s task and questionnaire to assess emotion regulation, inattention, fatigue, insomnia, and depression. Results: Women with PMDD had a poor performance in Simon’s task during the LL phase. They were less likely to exercise cognitive reappraisal during EL and LL phases. Their cognitive reappraisal positively correlated with executive function and negatively associated with depression. In the LL phase, they also experience higher inattention, insomnia, and fatigue, which correlate with the depression and functional impairment of PMDD. Inattention is the most associated factor of PMDD and functional impairment in controlling depression. Conclusion: Executive function was impaired in women with PMDD during the LL phase. Its performance correlated positively with emotion regulation and negatively with depression. The association between inattention and PMDD functional impairment indicates that evaluation and intervention for cognitive impairment were essential in treating women with PMDD. Further studies were required to elucidate the possible etiology underlying these associations.

Poor Sleep Quality and Factors Among Reproductive-Age Women in Southwest Ethiopia

BACKGROUND

Adequate sleep is vital for physical and mental wellbeing. Sleep-related problems including poor quality of sleep have been increasing throughout the world among reproductive-aged women. Poor sleep quality has been related with number of diseases and health problems However, evidences are scarce regarding poor sleep quality and its associated factors among women of the reproductive age group in Ethiopia.

OBJECTIVE

To assess sleep quality and associated factors among women of reproductive age group in Mizan Aman town, Southwest Ethiopia.

METHOD

Community-based cross-sectional study was conducted among 606 reproductive-aged women from 06 November to 20 December 2020, in Mizan Aman town. Data were collected using structured interview administered questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Multivariable logistic regression was applied using an adjusted odds ratio with a corresponding 95% confidence interval to evaluate the statistical significance of associated factors.

RESULT

The overall prevalence of poor sleep quality was 71.3%. The late age group of 42-49 (AOR, 95% CI; 1.21 (1.08-5.76), palpable/visible thyroid gland (AOR, 95% CI; 2. 12 (1.08-3.82), current substance use (AOR, 95% CI; 1.76 (1.11-6.10) and having premenstrual syndrome (AOR, 95% CI; 1.86 (1.38-3.12) were significantly associated with poor sleep quality among reproductive age group women.

CONCLUSION

Significant majority of reproductive age group women faced poor sleep quality. Therefore, screening of sleep patterns among this particular age group is warranted. Moreover, education about sleep hygiene needs to be given considering the identified factors to improve sleep quality.