Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability.

Introduction: Perinatal women tend to have difficulties with sleep along with autonomic characteristics. This study aimed to identify a machine learning algorithm capable of achieving high accuracy in predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability (HRV). Methods: Nine HRV indicators (features) and sleep-wake conditions of 154 pregnant women were measured for 1 week, from the 23rd to the 32nd weeks of pregnancy. Ten machine learning and three deep learning methods were applied to predict three types of sleep-wake conditions (wake, shallow sleep, and deep sleep). In addition, the prediction of four conditions, in which the wake conditions before and after sleep were differentiated-shallow sleep, deep sleep, and the two types of wake conditions-was also tested. Results and Discussion: In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine features, seven made major contributions to predicting sleep-wake conditions. Among the seven features, "the number of interval differences of successive RR intervals greater than 50 ms (NN50)" and "the proportion dividing NN50 by the total number of RR intervals (pNN50)" were useful to predict sleep-wake conditions unique to pregnancy. These findings suggest alterations in the vagal tone system specific to pregnancy.

Mental Health Problems among University Students under the Prolonged COVID-19 Pandemic in Japan: A Repeated Cross-Sectional Survey.

Numerous studies have investigated the impact of the coronavirus disease 2019 (COVID-19) pandemic on mental health among university students within a year of its onset, but few have examined the impact of a prolonged pandemic on university life. This study aimed to evaluate the impact of the COVID-19 pandemic on the mental health of students in a large university community. Online questionnaire surveys were conducted on students from March 24 to April 14 (first survey, n = 3,357) and December 2-23, 2021 (second survey, n = 2,604). The questionnaires included items on demographic data, living conditions, and mental health status as measured using the Patient Health Questionnaire-9 for depressive symptoms and the Generalized Anxiety Disorder-7 scale for anxiety symptoms. The results showed that, compared with undergraduate students, graduate students, except those in Medicine, Dentistry, and Pharmaceutical Science courses, had more anxiety symptoms. Furthermore, among undergraduate students, depressive and anxiety symptoms were significantly higher in fourth- than in first-year students. Logistic regression analyses of data from both surveys revealed the seven risk factors associated with depressive or anxiety symptoms that affected the mental health of university students throughout the COVID-19 pandemic: 1) female or nonbinary gender, 2) graduate student, 3) quarantine experience due to COVID-19, 4) isolation from friends and acquaintances, 5) disorganized pattern of daily life, 6) worse financial situation, and 7) no availability of consultations regarding health, life, and finances. These findings suggest that mental health measures for university students need to be designed specific to each course.

Real-Time Prediction of Medical Demand and Mental Health Status in Ukraine under Russian Invasion Using Tweet Analysis.

Russia's invasion of Ukraine (February 24, 2022) has begun and there are concerns about the impact on health care supply and mental health. This study analyzed tweets in the Ukrainian language to capture the medical needs and mental health conditions in wartime Ukraine by focusing on ostensibly relevant words. The number of tweets containing the keywords and their overall proportion was compared before and after the Russian invasion of Ukraine. The survey period was divided into four phases-the pre-2022 Russian invasion, acute phase (4 weeks), subacute phase (12 weeks), and the chronic phase (8 weeks) up to August 10, 2022. The analysis targeted tweets sent in Ukrainian. The tweets were screened using a set of six classes with 75 key groups and 303 Ukrainian (204 original Japanese) keywords. Overall, 98,526,440 tweets were analyzed, with a pre-invasion and post-onset average of 1,096,976 and 3,328,243 tweets/week (a 3.0-fold increase), respectively. Of these, 3,197,443 tweets contained the keywords, with a pre-invasion and invasion average of 26,241 and 114,640 tweets/week (a 4.4-fold increase), respectively. The post-onset phase witnessed a considerable increase in all classes-medical services, treatment, medical resources, medical situations, and special situations-but not in the symptom class. Keywords related to psychological distress and anxiety immediately increased during the acute phase; those related to depression and post-traumatic stress reactions continued increasing as the invasion persisted, which may have reflected the mental state of those impacted. Analyzing tweets is useful for predicting people's real-time physical and mental health needs during wartime.

Review of Mental Health Consequences of the Great East Japan Earthquake through Long-Term Epidemiological Studies: The Shichigahama Health Promotion Project.

After the Great East Japan Earthquake, Tohoku University began to provide mental health services during the acute phase of the disaster in cooperation with Shichigahama Town, one of the municipalities located in the coastal area of the Miyagi Prefecture that was severely damaged by the earthquake and tsunami; it continued to be providing long-term mental health activities, incorporating annual surveys for affected residents in the town for 10 years. Ten years of combination of surveys and outreach activities first depicted detailed longitudinal alterations in the mental health conditions of communities affected by a catastrophe. While posttraumatic stress reaction had recovered year by year after the year following the Great East Japan Earthquake, recovery from psychological distress retreated between 2014 and 2017, probably due to the relocation from temporal to eternal housing conditions. The annual cycles of assessment and provision of mental health support and promotion activities continued for 10 years can be an initial model for evidence-based, long-term post-disaster mental health and psychosocial support for the affected communities. Data regarding subsequent disasters should be collected in comparable ways, in order to improve the accuracy and usefulness of the accumulated data for planning and providing evidence-based post-disaster mental health and psychosocial support.

Open-label study of cognitive behavioural therapy for individuals with at-risk mental state: Feasibility in the Japanese clinical setting.

AIM: To date, most cognitive behavioural therapy (CBT) trials for individuals with at-risk metal state (ARMS) have been conducted in few Western countries and its feasibility in other regions, including Japan, has not been established. METHODS: We designed an open-label pilot study. Fourteen ARMS participants received CBT over 6 months and were followed-up for 6 months. RESULTS: Thirteen individuals completed the CBT intervention and assessments. The mean total score on the Positive and Negative Syndrome Scale improved from 60.2 to 46.0 after the intervention (Cohen's d = 1.1). The effects were maintained at the follow-up assessment. One participant transitioned to psychosis after the CBT intervention, and was the only patient who received antipsychotics. CONCLUSIONS: We confirmed the feasibility of the provision of CBT for ARMS in Japan. Since overprescription of antipsychotics is a matter of great concern in Japan, CBT could be a valuable alternative treatment strategy.

The relationship between cognitive insight and cognitive performance among individuals with at-risk mental state for developing psychosis.

Impairments in cognitive insight-the capacity to appraise and modify one's own distorted beliefs-are believed to be associated with the formation of psychosis. Nevertheless, the association between cognitive insight and cognitive function among people with at-risk mental state (ARMS) for developing psychotic illness has not been made clear. In this study, we used the Beck Cognitive Insight Scale (BCIS) to assess cognitive insight and the Brief Assessment of Cognition in Schizophrenia (BACS) and the Wisconsin Card Sorting Test (WCST) to assess cognitive functions. Fifty subjects with ARMS and 29 healthy volunteers were recruited as participants. The scores for the two groups on the BCIS, BACS, and WCST were compared and Spearman's rank correlations between the domains of the BCIS and cognitive performance were examined in each group. No significant differences were found in BCIS scores between these groups, whereas all of the cognitive function scores were poorer in the participants with ARMS. In the ARMS group, higher self-certainty on the BCIS was significantly correlated with lower performance in the mean number of categories achieved (ρ=-0.31, P=0.03) and perseverative errors of the Nelson type (ρ=0.29, P=0.04) on the WCST. This indicates that excessively high self-certainty might be linked with weaknesses in cognitive flexibility or set-shifting ability in people with ARMS.

The associations between quality of life and clinical symptoms in individuals with an at-risk mental state and first-episode psychosis.

Quality of life (QOL) is strongly associated with severity of clinical symptoms and is often compromised in patients with chronic or first-episode psychosis (FEP). However, it remains unclear whether baseline QOL in individuals with an at-risk mental state (ARMS) for psychosis is higher or lower than that in patients with FEP, or what specific clinical symptoms relate to a decreased QOL in individuals with ARMS and FEP. The World Health Organization's WHOQOL-BREF, an instrument assessing QOL, was administered to 104 individuals with ARMS and 53 with FEP. Clinical symptoms were assessed by the Positive and Negative Syndrome Scale and the Beck Depression Inventory-II. We compared the four domain scores of the WHOQOL-BREF between the two groups, and calculated Pearson correlations between each WHOQOL-BREF domain score and the clinical symptoms and compared these correlations between the groups. We observed significant correlations between poor QOL and severity of depressive symptoms in both the FEP and ARMS group. No between-group differences were found in any correlation coefficients between WHOQOL-BREF domains and clinical symptoms. Thus, depressive symptoms should be investigated as a key factor relating to poor QOL in both individuals with ARMS and those with FEP.

Deficits of cognitive theory of mind and its relationship with functioning in individuals with an at-risk mental state and first-episode psychosis.

Disturbance of theory of mind (ToM) and its relationship with functioning in schizophrenia is well documented; however, this is unclear in spectrum disorders like at-risk mental state (ARMS) and first-episode psychosis (FEP). To assess mental state reasoning ability, the total score of the Theory of Mind Picture Stories Task questionnaire was compared among 36 Japanese individuals with ARMS, 40 with FEP, and 25 healthy controls (HC). Pearson's correlations between ToM performance and global and social functioning indices were examined. ToM performance for FEP and ARMS subjects was significantly lower than that for HC, though the significance of the difference between the ARMS and HC disappeared when controlling for premorbid IQ. ToM deficits in ARMS subjects were confirmed only in the comprehension of higher-order false belief. Only among FEP subjects were ToM performance and global functioning significantly correlated, though the significance disappeared when controlling for neurocognitive performance or dose of antipsychotics. No significant correlation between ToM performance and social functioning was observed in the FEP and ARMS groups. The current findings suggest that ToM deficits emerge in ARMS subjects confined within a higher-order domain, and that the relationship between ToM impairment and functional deterioration might be established after psychosis onset.

Correction: Criticism and Depression among the Caregivers of At-Risk Mental State and First-Episode Psychosis Patients.

[This corrects the article DOI: 10.1371/journal.pone.0149875.].

Criticism and Depression among the Caregivers of At-Risk Mental State and First-Episode Psychosis Patients.

Expressed emotion (EE), especially criticism, is an important predictor of outcomes for the patient for a wide range of mental health problems. To understand complex links between EE and various relevant variables in early phase psychosis, this study examined criticism, distress of caregivers, other patients', and caregivers' variables, and links between criticism and these variables in those with at-risk mental state (ARMS) for psychosis and first-episode psychosis (FEP). The participants were 56 patients (mean age 18.8 ± 4.2 years) with ARMS and their caregivers (49.4 ± 5.8 years) and 43 patients (21.7 ± 5.2 years) with FEP and their caregivers (49.3 ± 7.4 years). We investigated criticisms made by caregivers using the Japanese version of the Family Attitude Scale and caregiver depressive symptoms via the self-report Beck Depression Inventory. We also assessed psychiatric symptoms and functioning of the patients. Approximately one-third of caregivers of patients with ARMS or FEP had depressive symptoms, predominately with mild-to-moderate symptom levels, whereas only a small portion exhibited high criticism. The level of criticism and depression were comparable between ARMS and FEP caregivers. The link between criticism, caregivers' depression, and patients' symptoms were observed in FEP but not in ARMS caregivers. These findings imply that the interaction between criticism and caregivers' and patients' mental states may develop during or after the onset of established psychosis and interventions for the caregivers should be tailored to the patient's specific stage of illness. Interventions for FEP caregivers should target their emotional distress and include education about patient's general symptoms.

The association between cognitive deficits and depressive symptoms in at-risk mental state: a comparison with first-episode psychosis.

Cognitive deficits and a high prevalence of depressive symptoms have been reported in at-risk mental state (ARMS) for psychosis, but the relationships between these variables remain unclear. The Brief Assessment of Cognition in Schizophrenia (BACS) was administered to 50 individuals with ARMS, 50 with first-episode psychosis (FEP), and 30 healthy controls (HC). Clinical symptoms were assessed by the Positive and Negative Syndrome Scale (PANSS) and the Beck Depression Inventory-2nd edition (BDI-II). Composite z-scores in BACS were compared between the three groups. Pearson correlations between composite z-scores on the BACS and indices of clinical symptoms were compared in the ARMS and FEP groups. The mean composite z-scores on the BACS for the ARMS (-2.82) and FEP (-2.85) groups were significantly lower than the HC group (P<0.001); no differences between the ARMS and FEP groups emerged (P=0.995). Cognitive deficits and depressive symptoms were significantly correlated in the ARMS group (PANSS depression: r=-0.36, P=0.010; BDI-II: r=-0.34, P=0.02), while the correlation between cognitive deficits and negative symptoms was significant in the FEP group (r=-0.46, P=0.001) and approached significance in the ARMS group (r=-0.25, P=0.08). The correlation between cognitive deficits and depressive symptoms significantly differed between the ARMS and FEP groups (PANSS depression: Z=2.50, P=0.012; BDI-II: Z=1.96, P=0.0499). Thus, a relationship between cognitive deficits and depression appears to be specific to ARMS compared to FEP.

[Application of cognitive behavioral therapy to early phase of psychosis].

Attempts to apply cognitive-behavioral therapy (CBT) to treat patients in the early stage of psychosis, including those with First-Episode Psychosis (FEP) and those with an At-Risk Mental State (ARMS), have recently attracted considerable attention. Such CBT for FEP focuses on promoting the recovery process and relapse prevention, although evidence on its efficacy is currently limited. Further, studies on CBT for ARMS have not consistently demonstrated its effectiveness. Some reports affirm the effectiveness of CBT in FEP prevention, while others claim that the treatment leads to no compelling difference in comparison to nonspecific treatment such as supportive therapy and treatment as usual. It is evident that psychosocial interventions play a fundamental role in the treatment of early stages of psychosis. Therapeutic approaches based on CBT have been applied to various cases: however, further research is necessary in order to produce more concrete results and obtain the evidence needed to approve this method.

[Natori EI project: the early intervention project for psychiatric disorders by the Miyagi Psychiatric Center].

Attempts to promote early intervention (EI) for psychiatric disorders are becoming accepted worldwide. Although several attempts at EI have begun in Japan, this movement is still limited, and the development of concrete EI services suited to individual regions is required. At the Miyagi Psychiatric Center, the "Natori EI project" is being carried out with the aim of improving the mental health of young people. This project involves three activities: consultation and mental health promotion in high schools, specialized outpatient clinics for young people, and psychosocial intervention for first-episode psychosis. There are many difficulties in building a system to support this kind of EI within the framework of the conventional medical care system; it is necessary to sort out issues such as collaboration with government and educational institutions, sharing the basic principle of EI, medical economic problems, ensuring manpower, and staff training system.