An evaluation of symptom domains in the 2 years before pregnancy as predictors of relapse in the perinatal period in women with severe mental illness

Evidence-based trends and association between symptom disturbance and physical activity among pregnant women: A longitudinal study

BACKGROUND

Women usually decrease their physical activity (PA) after becoming pregnant. The change in PA may influence their symptom distress (SD). The changes and correlations between SD and PA throughout pregnancy remain unclear.

AIMS

The aims of this study were to describe PA and SD trajectories across all three trimesters and examine their correlations during pregnancy.

METHODS

A repeated-measure longitudinal study with convenience sampling at a hospital in Northern Taiwan was performed. Participants were recruited at 8-16 weeks of gestation, and two follow-up visits were performed at 24-28 weeks of gestation (second trimester) and after 36 weeks of gestation (third trimester). A total of 225 participants completed the study. The participants completed the Pregnancy Physical Activity Questionnaire (PPAQ) and Pregnancy-related Symptom Disturbance Scale (PSD), and sociodemographic and prenatal variables were recorded.

RESULTS

Throughout pregnancy, SD decreased then increased, showing an overall upward trend, whereas PA showed the opposite pattern, increasing then decreasing, with an overall downward trend. Sedentary activity was positively correlated with both physical and psychological SD during the second and third trimesters. Exceeding the Institute of Medicine's recommendations for gestational weight gain, having childcare support, sport/exercise-type, and light-intensity PA were negatively associated with the physical and psychological SD, while a history of miscarriage and sedentary-intensity PA were positively associated with the physical and psychological SD.

LINKING EVIDENCE TO ACTION

While several factors, including light-intensity PA, were found negatively associated with the physical and psychological SD, sedentary-intensity PA were positively associated with the physical and psychological SD, our findings shed light on future intervention strategies to relieve SD and decrease sedentary behavior among pregnant women.

Postpartum Psychosis

PURPOSE OF REVIEW

Postpartum psychosis is a psychiatric emergency that can affect the health and life of mothers, infants, and families. Postpartum psychosis (PPP) is distinct from non-postpartum psychosis in many ways, and it is crucial to study and understand PPP to identify, treat, and possibly prevent this condition. We therefore sought to review the latest research findings about PPP with the intention of updating readers about the latest evidence base.

RECENT FINDINGS

Multiple physiologic pathways have been implicated in the development of PPP, and further understanding these pathways may allow for early detection and treatment. Risk assessment and treatment should include consideration of the woman patient but also the mother-infant dyad and the larger family. It is our hope that this review of research updates in postpartum psychosis may inform clinical practice and promote specialized, evidence-based diagnosis, risk assessment, and treatment.

Sex Differences in Bipolar Disorders: Impact on Psychopathological Features and Treatment Response

INTRODUCTION

Sex differences were demonstrated in bipolar disorders (BD) concerning epidemiological, clinical, and psychopathological characteristics, but consensus is lacking. Moreover, data concerning the influence of sex on treatment response in BD is contrasting. The present cross-sectional study aimed to analyze sex differences in a population of BD subjects, with specific focus on psychopathological features and treatment response.

MATERIALS AND METHODS

Subjects diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, 5th version (DSM-5) were recruited. Socio-demographic and clinical characteristics were collected. The Hamilton Rating Scale for Depression, the Mania Rating Scale (MRS), the brief version of the Temperament Evaluation of Memphis, Pisa and San Diego-Münster version (briefTEMPS-M), and the Barratt Impulsiveness Scale-11 items (BIS-11) were used for psychopathological assessment. Treatment response was appraised with the Alda Scale. We performed bivariate analyses to compare socio-demographic, clinical, and psychopathological characteristics between men and women (p < 0.05). A logistic regression was run to analyze features that were significantly associated with female sex.

RESULTS

Among the recruited 219 BD subjects, 119 (54.3%) were females. Women had a lower scholarity (p = 0.015) and were less frequently employed (p = 0.001). As for psychopathological features, a higher MRS total score (p < 0.001) was detected among women, as well as higher BIS-11 total score (p = 0.040), and briefTEMPS-M score for anxious temperament (p = 0.006). Men showed higher prevalence of DSM-5 mixed features (p = 0.025), particularly during a depressive episode (p = 0.014). Women reported longer duration of untreated illness (DUI) (p < 0.001). There were no sex differences in the Alda Scale total score when considering the whole sample, but this was significantly higher among men (p = 0.030) when evaluating subjects treated with anticonvulsants. At the logistic regression, female sex was positively associated with longer DUI (p < 0.001; OR 1.106, 95% CI 1.050-1.165) and higher MRS total score (p < 0.001; OR 1.085, 95% CI 1.044-1.128) and negatively associated with employment (p = 0.003; OR 0.359, 95% CI 0.185-0.698) and DSM-5 mixed features (p = 0.006; OR 0.391, 95% CI 0.200-0.762).

CONCLUSIONS

The clinical presentation of BD may differ depending on sex. The severity of BD should not be neglected among women, who may also display worse treatment response to anticonvulsants.

Natural language processing in clinical neuroscience and psychiatry: A review

Natural language processing (NLP) is rapidly becoming an important topic in the medical community. The ability to automatically analyze any type of medical document could be the key factor to fully exploit the data it contains. Cutting-edge artificial intelligence (AI) architectures, particularly machine learning and deep learning, have begun to be applied to this topic and have yielded promising results. We conducted a literature search for 1,024 papers that used NLP technology in neuroscience and psychiatry from 2010 to early 2022. After a selection process, 115 papers were evaluated. Each publication was classified into one of three categories: information extraction, classification, and data inference. Automated understanding of clinical reports in electronic health records has the potential to improve healthcare delivery. Overall, the performance of NLP applications is high, with an average F1-score and AUC above 85%. We also derived a composite measure in the form of Z-scores to better compare the performance of NLP models and their different classes as a whole. No statistical differences were found in the unbiased comparison. Strong asymmetry between English and non-English models, difficulty in obtaining high-quality annotated data, and train biases causing low generalizability are the main limitations. This review suggests that NLP could be an effective tool to help clinicians gain insights from medical reports, clinical research forms, and more, making NLP an effective tool to improve the quality of healthcare services.