Biological rhythms in premenstrual syndrome and premenstrual dysphoric disorder: a systematic review.

BACKGROUND: Women with premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) typically experience a range of psychological and physiological symptoms that negatively affect their quality of life. Disruption in biological rhythms, including alterations of the sleep-wake cycle, have been implicated in PMS/PMDD, though literature is still growing to substantiate these findings. The objective of this study is to systematically review the available literature on biological rhythms disruption in PMS/PMDD. METHODS: A literature search was conducted on four databases (Pubmed, Embase, Medline, and Web of Science) on December 3rd, 2021. This search yielded a total of 575 articles that assessed the relationship between biological rhythms and PMS/PMDD/premenstrual symptoms. RESULTS: After the exclusion of irrelevant articles and hand-searching references, 25 articles were included in this systematic review. Some studies showed that women with PMS/PMDD present lower melatonin levels, elevated nighttime core body temperature, and worse subjective perception of sleep quality when compared to women without PMS/PMDD. Other biological rhythms parameters showed either no differences between groups (wrist actimetry) or conflicting results (objective sleep parameters, cortisol, prolactin, and thyroid stimulating hormone). CONCLUSION: Current research demonstrates that women with PMS/PMDD experience lower melatonin levels, higher body temperature, and worse subjective perception of sleep quality. This review outlines some possible mechanisms behind these findings and proposes recommendations for future research. This systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD42020149921.

Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor.

The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation has become a serious matter of concern in the scientific publishing community. Generative AI has computationally become capable of elaborating research questions; refining programming code; generating text in scientific language; and generating images, graphics, or figures. However, this technology should be used with caution. In this editorial, we outline the current state of editorial policies on generative AI or chatbot use in authorship, peer review, and editorial processing of scientific and scholarly manuscripts. Additionally, we provide JMIR Publications' editorial policies on these issues. We further detail JMIR Publications' approach to the applications of AI in the editorial process for manuscripts in review in a JMIR Publications journal.

Functional and cognitive impairment in the first episode of depression: A systematic review.

OBJECTIVES: To describe the cognitive and functional impairment in individuals with the first episode of major depressive disorder (MDD) as compared to controls and individuals with recurrent MDD. Also to describe the functional and cognitive trajectory after the first episode of MDD. METHODS: A total of 52 studies were included in our systematic review. 32 studies compared the cognitive performance between first episode of depression (FED) and controls, 11 studies compared the cognitive performance between recurrent depression (RD) and FED, 10 compared global functioning between RD and FED, four studies assessed cognition in FED over time, and two studies assessed global functioning in FED over time. RESULTS: The majority of studies (n = 22/32, 68.8%) found that FED subjects performed significantly worse than controls on cognitive tests, with processing speed (n = 12) and executive/working memory (n = 11) being the most commonly impaired domains. Seven out of 11 studies (63.6%) found that RD performed significantly worse than FED, with verbal learning and memory being the most commonly impaired domain (n = 4). Most studies (n = 7/10, 70%) did not find a significant difference in global functioning between RD and FED. In three of four longitudinal studies assessing cognition, subgroup analyses were used instead of directly assessing cognition in FED over time while the remaining study found significant cognitive declines over time in FED when compared to controls. The two longitudinal studies assessing functional trajectory found that functioning significantly improved over time, possibly due to the improvement of depressive symptoms. CONCLUSION: There is strong evidence that cognitive impairment is present during the first episode of depression, and individuals with multiple episodes display greater cognitive impairment than individuals with a single episode. Future studies aimed at identifying predictors of cognitive and functional impairment after the first episode of depression are needed to describe the functional and cognitive trajectory of individuals with the first episode of MDD over time.

Brain age in mood and psychotic disorders: a systematic review and meta-analysis.

OBJECTIVE: To evaluate whether accelerated brain aging occurs in individuals with mood or psychotic disorders. METHODS: A systematic review following PRISMA guidelines was conducted. A meta-analysis was then performed to assess neuroimaging-derived brain age gap in three independent groups: (1) schizophrenia and first-episode psychosis, (2) major depressive disorder, and (3) bipolar disorder. RESULTS: A total of 18 papers were included. The random-effects model meta-analysis showed a significantly increased neuroimaging-derived brain age gap relative to age-matched controls for the three major psychiatric disorders, with schizophrenia (3.08; 95%CI [2.32; 3.85]; p < 0.01) presenting the largest effect, followed by bipolar disorder (1.93; [0.53; 3.34]; p < 0.01) and major depressive disorder (1.12; [0.41; 1.83]; p < 0.01). The brain age gap was larger in older compared to younger individuals. CONCLUSION: Individuals with mood and psychotic disorders may undergo a process of accelerated brain aging reflected in patterns captured by neuroimaging data. The brain age gap tends to be more pronounced in older individuals, indicating a possible cumulative biological effect of illness burden.

The prevalence of borderline personality features and borderline personality disorder during the perinatal period: a systematic review and meta-analysis.

Borderline personality disorder (BPD) is a psychiatric disorder marked by severe affective instability and poor interpersonal functioning. Existing literature has highlighted that individuals with BPD are at greater risk for a wide range of adverse physiological and psychosocial outcomes in the perinatal period compared to perinatal individuals without BPD. However, to date, no systematic review has addressed the prevalence of BPD and borderline personality features (BPF) in pregnant and postpartum individuals. A systematic review and meta-analysis was conducted by searching three databases (PubMed, PsycINFO, and Embase) on April 6th, 2021. Research articles and conference abstracts that evaluated BPF or BPD in pregnant, postpartum, or mixed perinatal populations were included. Sixteen publications were included in the systematic review (n = 14 research articles, n = 2 conference abstracts), seven of which were included in the meta-analysis. Among non-clinical samples, prevalence rates of BPF during pregnancy ranged from 6.9 to 26.7%, while rates of BPD across the perinatal period ranged from 0.7 to 1.7%. Among clinical samples, rates of BPF and BPD across the perinatal period spanned 9.7-34% and 2.0-35.2%, respectively. Results from the meta-analysis revealed that the pooled prevalence rate of BPD in clinical samples during the perinatal period is 14.0% (95% CI [7.0, 22.0]). Among clinical perinatal samples, there is a high prevalence of borderline personality pathology. This review highlights the need for appropriate validated screening methods to identify and treat BPD in the perinatal population.

Investigating biological rhythms disruptions across the menstrual cycle in women with comorbid bipolar disorder and premenstrual dysphoric disorder.

We investigated whether women diagnosed with comorbid bipolar disorder (BD) and premenstrual dysphoric disorder (PMDD) experience higher disruptions in biological rhythms in two independent study samples. The first study has a population-based sample of 727 women, including 104 women with PMDD only, 43 women with BD only, 24 women with comorbid PMDD and BD, and 556 women without BD or PMDD (controls). Biological rhythm disruptions were cross-sectionally evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). The second study enrolled 77 outpatient women who completed prospective assessments at two timepoints: during the mid-follicular and the late-luteal phases of their menstrual cycles, using the BRIAN, and included 19 women with PMDD, 16 with BD, 17 with comorbid PMDD and BD, and 25 controls. In the population-based sample, all the diagnostic groups (BD, PMDD, BDPMDD) presented greater biological rhythm disruption than controls. In addition, women with BD presented greater overall biological rhythms disruption, and greater disruption in sleep, activity, and eating patterns, than women with PMDD. In the outpatient sample study, women with BDPMDD showed greater disruption in the social domain than women with PMDD. In the outpatient sample, women with BDPMDD reported significantly higher disruptions in biological rhythms across both the follicular and the luteal phases of the menstrual cycle. The comorbidity between BD and PMDD may affect biological rhythms beyond the luteal phase of the menstrual cycle. These results support previous literature on the increased illness burden of women diagnosed with comorbid BD and PMDD.

Bipolar disorder and frontotemporal dementia: A systematic review.

OBJECTIVES: To detail the biological, clinical and neurocognitive characteristics differentiating bipolar disorder (BD) from frontotemporal dementia (FTD) and to investigate whether BD is a risk factor for FTD. METHODS: A total of 16 studies were included in this systematic review. Five studies described biological and/or neurocognitive characteristics between patients with BD and FTD, and 11 studies investigated whether BD was a risk factor for FTD. RESULTS: Individuals with FTD presented higher levels of serum neurofilament light chain, greater grey matter reduction in frontal, parietal and temporal lobes, and increased slow wave oscillations in channels F3, F4, T3, T5, T4 and T6 within an electroencephalogram (EEG), relative to individuals with BD. Patients with FTD presented greater deficits in executive function and theory of mind compared to patients with BD in a euthymic state, and more deficits in verbal fluency compared to patients with BD in a current mood episode. Patients with BD in a current mood episode showed greater impairment in attention, working memory, verbal memory and executive function relative to individuals with FTD. In addition, retrospective studies showed that 10.2%-11.6% of patients with behavioural variant FTD (bvFTD) had a preceding history of BD. CONCLUSION: Biological and neurocognitive characteristics help to distinguish between BD and FTD, and it may help to reach a more precise diagnosis. In addition, individuals with BD are at higher risk of developing FTD. More studies are needed to identify the predictors of the conversion between BD to FTD.

Preeclampsia as a risk factor for postpartum depression and psychosis: a systematic review and meta-analysis.

Postpartum depression (PPD) and postpartum psychosis (PPP) are serious mental conditions that are usually not diagnosed early enough, leading to delayed treatment. Several studies confirmed an association between preeclampsia (PE) and psychiatric disorders during pregnancy. We conducted a systematic review of the literature aiming to investigate whether women with a history of PE are more likely to develop PPD or PPP, and whether PE is a risk factor for depression outside the perinatal period (PROSPERO protocol number CRD42018114188). We also conducted a meta-analysis to quantitatively assess the severity of depressive symptoms between women with and without a history of PE. A literature search with no year and no language restriction was conducted. The search yielded 950 articles, with 698 remaining after duplicate removal, and 13 being suitable for the systematic review. Eight of the 13 studies found an association between preeclampsia and depression. All studies assessed the impact of PE on depression, and only two studies assessed the impact of PE on PPP. Eight of the studies were included in the meta-analysis, which yielded a higher severity of depressive symptoms postpartum in women with PE. However, these results must be interpreted with caution considering the high heterogeneity of the included studies. Our meta-analysis also showed that women with a history of PE showed higher severity of depressive symptoms outside of the puerperal period. In conclusion, this systematic review and meta-analysis suggest that that PE is not only a risk factor for development of depression, but it is also associated with higher severity of depressive symptoms.

Lifetime cocaine use is a potential predictor for conversion from major depressive disorder to bipolar disorder: A prospective study.

AIM: We aimed to identify whether lifetime cocaine use is a risk factor for conversion from major depressive disorder (MDD) to bipolar disorder (BD) in an outpatient sample of adults. METHODS: This prospective cohort study included 585 subjects aged 18 to 60 years who had been diagnosed with MDD as assessed by the Mini International Neuropsychiatric Interview (MINI-Plus) at baseline (2012-2015). Subjects were reassessed a mean of 3 years later (2017-2018) for potential conversion to BD as assessed by the MINI-Plus. Lifetime cocaine use was assessed using the Alcohol, Smoking, and Substance Involvement Screening Test. RESULTS: In the second wave, we had 117 (20%) losses, and 468 patients were reassessed. The rate of conversion from MDD to BD in 3 years was 12.4% (n = 58). A logistic regression analysis showed that the risk for conversion from MDD to BD was 3.41-fold higher (95% confidence interval, 1.11-10.43) in subjects who reported lifetime cocaine use at baseline as compared to individuals who did not report lifetime cocaine use at baseline, after adjusting for demographic and clinical confounders. CONCLUSION: These findings showed that lifetime cocaine use is a potential predictor of conversion to BD in an MDD cohort. Further studies are needed to assess the possible underlying mechanisms linking exposure to cocaine with BD conversion.

Differences between unipolar mania and bipolar-I disorder: Evidence from nine epidemiological studies.

OBJECTIVES: Although clinical evidence suggests important differences between unipolar mania and bipolar-I disorder (BP-I), epidemiological data are limited. Combining data from nine population-based studies, we compared subjects with mania (M) or mania with mild depression (Md) to those with BP-I with both manic and depressive episodes with respect to demographic and clinical characteristics in order to highlight differences. METHODS: Participants were compared for gender, age, age at onset of mania, psychiatric comorbidity, temperament, and family history of mental disorders. Generalized linear mixed models with adjustment for sex and age as well as for each study source were applied. Analyses were performed for the pooled adult and adolescent samples, separately. RESULTS: Within the included cohorts, 109 adults and 195 adolescents were diagnosed with M/Md and 323 adults and 182 adolescents with BP-I. In both adult and adolescent samples, there was a male preponderance in M/Md, whereas lifetime generalized anxiety and/panic disorders and suicide attempts were less common in M/Md than in BP-I. Furthermore, adults with mania revealed bulimia/binge eating and drug use disorders less frequently than those with BP-I. CONCLUSIONS: The significant differences found in gender and comorbidity between mania and BP-I suggest that unipolar mania, despite its low prevalence, should be established as a separate diagnosis both for clinical and research purposes. In clinical settings, the rarer occurrence of suicide attempts, anxiety, and drug use disorders among individuals with unipolar mania may facilitate successful treatment of the disorder and lead to a more favorable course than that of BP-I disorder.

Is Narrative Cognitive Therapy as Effective as Cognitive Behavior Therapy in the Treatment for Depression in Young Adults?

This study aimed to compare the effectiveness of narrative cognitive therapy (NCT) and cognitive behavior therapy (CBT) in the improvement of perception of quality of life in young adults with depression at 12-month follow-up. This was a randomized clinical trial conducted using seven sessions of NCT or CBT. Quality of life was measured using the Medical Outcomes Survey Short-Form General Health Survey. The sample included 97 patients. Considering only completers to be samples, CBT was more effective than NCT for improvement of physical functioning (p = 0.031), vitality (p = 0.013), and mental health (p = 0.002) at 12-month follow-up. However, in the intention-to-treat analysis, we found no difference between groups. Regardless of model, we found a significant improvement in all domains from baseline to postintervention and 6- and 12-month follow-ups, except for the bodily pain domain. In conclusion, both models were effective in the improvement of perception of quality of life.

Predictors of psychiatric readmission among patients with bipolar disorder at an academic safety-net hospital.

OBJECTIVE: Even with treatment, approximately one-third of patients with bipolar disorder relapse into depression or mania within 1 year. Unfavorable clinical outcomes for patients with bipolar disorder include increased rates of psychiatric hospitalization and functional impairment. However, only a few studies have examined predictors of psychiatric hospital readmission in a sample of patients with bipolar disorder. The purpose of this study was to examine predictors of psychiatric readmission within 30 days, 90 days and 1 year of discharge among patients with bipolar disorder using a conceptual model adapted from Andersen's Behavioral Model of Health Service Use. METHODS: In this retrospective study, univariate and multivariate logistic regression analyses were conducted in a sample of 2443 adult patients with bipolar disorder who were consecutively admitted to a public psychiatric hospital in the United States from 1 January to 31 December 2013. RESULTS: In the multivariate models, several enabling and need factors were significantly associated with an increased risk of readmission across all time periods examined, including being uninsured, having ⩾3 psychiatric hospitalizations and having a lower Global Assessment of Functioning score. Additional factors associated with psychiatric readmission within 30 and 90 days of discharge included patient homelessness. Patient race/ethnicity, bipolar disorder type or a current manic episode did not significantly predict readmission across all time periods examined; however, patients who were male were more likely to readmit within 1 year. The 30-day and 1-year multivariate models showed the best model fit. CONCLUSION: Our study found enabling and need factors to be the strongest predictors of psychiatric readmission, suggesting that the prevention of psychiatric readmission for patients with bipolar disorder at safety-net hospitals may be best achieved by developing and implementing innovative transitional care initiatives that address the issues of multiple psychiatric hospitalizations, housing instability, insurance coverage and functional impairment.

Neurotrophic factors, clinical features and gender differences in depression.

Recent studies have evaluated the role of brain-derived neurotrophic factor (BDNF) in mood disorders; however, little is known about alterations in nerve growth factor (NGF) and glial cell line-derived neurotrophic factor (GDNF). The aim of this study was to evaluate differences among serum neurotrophic factors (BDNF, NGF and GDNF) in depressed patients and healthy controls and to verify the association between serum neurotrophic levels and clinical characteristics in a young, depressed population stratified by gender. This is a cross-sectional study with depressed patients and population controls 18-29 years of age. The concentrations of neurotrophic factors were determined by the ELISA method. The diagnosis of depression and the duration of the disease were assessed by the Structured Clinical Interview according to the diagnostic and statistical manual of mental disorders. Depression severity was measured with the 17-item Hamilton Rating Scale for Depression, and the severity of anxiety symptoms was measured using the Hamilton Anxiety Rating Scale. Serum BDNF and GDNF were lower in major depressive disorder (MDD) patients compared to controls (p ≤ 0.001). Serum NGF levels were higher in MDD patients versus controls (p ≤ 0.001). BDNF was associated with the duration of disease only in women (p = 0.005). GDNF was not associated with clinical characteristics in either gender. In women, NGF was associated with the severity of depressive symptoms (p = 0.009), anxiety (p = 0.011) and disease duration (p = 0.005). NGF was associated with disease duration in men (p = 0.026). Our results demonstrated that significant neurochemical differences in NGF and BDNF, but not in GDNF, were associated with the clinical features of MDD when patients were stratified by gender.

Digital Tools to Facilitate the Detection and Treatment of Bipolar Disorder: Key Developments and Future Directions.

Bipolar disorder (BD) impacts over 40 million people around the world, often manifesting in early adulthood and substantially impacting the quality of life and functioning of individuals. Although early interventions are associated with a better prognosis, the early detection of BD is challenging given the high degree of similarity with other psychiatric conditions, including major depressive disorder, which corroborates the high rates of misdiagnosis. Further, BD has a chronic, relapsing course, and the majority of patients will go on to experience mood relapses despite pharmacological treatment. Digital technologies present promising results to augment early detection of symptoms and enhance BD treatment. In this editorial, we will discuss current findings on the use of digital technologies in the field of BD, while debating the challenges associated with their implementation in clinical practice and the future directions.

Childhood maltreatment as a predictor of substance use/misuse among youth: A systematic review and meta-analysis.

This systematic review and meta-analysis aimed to comprehensively describe whether experiencing a variety of childhood maltreatment types predicts a variety of substance use/misuse types among youth, beyond the narrow scope covered in previous systematic reviews on similar topics. A literature search was conducted in June, 2022 using PubMed, PsycInfo, and Embase. 58 studies (total participant n=170,749) were included. These studies were primarily organized by substance type outcomes including alcohol (n=43), cannabis (n=25), unspecified substances (n=25), and other specific substances (n=10). Results were further stratified by maltreatment type. For specific maltreatment and substance type combinations, the majority of studies indicated that childhood maltreatment was a significant predictor of substance use/misuse in youth. Of the 10 meta-analyses we conducted, significant associations were found for the majority (9/10) of maltreatment and substance type combinations. For instance, unspecified childhood maltreatment increased the probability of youth alcohol use by about four times, which was the highest relative risk found. In conclusion, this study shows that childhood maltreatment is a predictor of youth substance use/misuse.

The comorbidity between Borderline Personality Disorder (BPD) and Generalized Anxiety Disorder (GAD): A systematic review and meta-analysis.

Borderline personality disorder (BPD) is a psychiatric condition characterized by severe instability in affect, impulse control, and interpersonal functioning. Existing literature has confirmed that BPD is highly comorbid with other psychiatric conditions, including anxiety disorders. Despite this, little research has investigated the nature of the relationship between generalized anxiety disorder (GAD) and BPD. The aim of this systematic review and meta-analysis is to synthesize the literature concerning the prevalence and clinical outcomes of BPD and GAD comorbidity in adults. The following three databases were searched on October 27, 2021: PsycINFO, PubMed, and Embase. Twenty-four studies were included (n = 21 reporting on prevalence of the comorbidity, n = 4 reporting on clinical outcomes associated with the comorbidity), 9 of which were included in a meta-analysis. The meta-analysis showed that the pooled prevalence for current GAD in individuals with BPD was 16.4% (CI 95%: 1.9%; 66.1%) in inpatient samples, and 30.6% (CI 95%: 21.9%; 41.1%) in outpatient or community samples. The pooled lifetime prevalence of GAD in individuals with BPD was 11.3% (CI 95%: 8.9%; 14.3%) in inpatient samples, and 13.7% (CI 95%: 3.4%; 41.4%) in outpatient or community samples. Comorbidity between BPD and GAD was associated with worse outcomes on measures of BPD severity, impulsivity, anger, and hopelessness. In conclusion, this systematic review and meta-analysis indicate that comorbid GAD and BPD is highly prevalent, although the pooled prevalence rates should be interpreted with caution considering the large and overlapping confidence intervals. Further, this comorbidity is associated with worse BPD symptom severity.

The HARM models: Predicting longitudinal physical aggression in patients with schizophrenia at an individual level.

The prediction and prevention of aggression in individuals with schizophrenia remains a top priority within forensic psychiatric settings. While risk assessment methods are well rooted in forensic psychiatry, there are no available tools to predict longitudinal physical aggression in patients with schizophrenia within forensic settings at an individual level. In the present study, we used evidence-based risk and protective factors, as well as variables related to course of treatment assessed at baseline, to predict prospective incidents of physical aggression (4-month, 12-month, and 18-month follow-up) among 151 patients with schizophrenia within the forensic mental healthcare system. Across our HARM models, the balanced accuracy (sensitivity + specificity/2) of predicting physical aggressive incidents in patients with schizophrenia ranged from 59.73 to 87.33% at 4-month follow-up, 68.31-80.10% at 12-month follow-up, and 46.22-81.63% at 18-month follow-up, respectively. Additionally, we developed separate models, using clinician rated clinical judgement of short term and immediate violent risk, as a measure of comparison. Several modifiable evidence-based predictors of prospective physical aggression in schizophrenia were identified, including impulse control, substance abuse, impulsivity, treatment non-adherence, mood and psychotic symptoms, substance abuse, and poor family support. To the best of our knowledge, our HARM models are the first to predict longitudinal physical aggression at an individual level in patients with schizophrenia in forensic settings. However, it is important to caution that since these machine learning models were developed in the context of forensic settings, they may not be generalisable to individuals with schizophrenia more broadly. Moreover, a low base rate of physical aggression was observed in the testing set (6.0-11.6% across timepoints). As such, larger cohorts will be required to determine the replicability of these findings.