Childhood trauma is a well-established risk factor for psychosis, paranoia, and substance use, with cannabis being a modifiable environmental factor that exacerbates these vulnerabilities. This study examines the interplay between childhood trauma, cannabis use, and paranoia using standard tetrahydrocannabinol (THC) units as a comprehensive measure of cannabis exposure.

Data were derived from the Cannabis&Me study, an observational, cross-sectional, online survey of 4,736 participants. Childhood trauma was assessed using a modified Childhood Trauma Screen Questionnaire, while paranoia was measured via the Green Paranoid Thoughts Scale. Cannabis use was quantified using weekly standard THC units. Structural equation modeling (SEM) was employed to evaluate direct and indirect pathways between trauma, cannabis use, and paranoia.

Childhood trauma was strongly associated with paranoia, particularly emotional, and physical abuse (β = 16.10, q < 0.001; β = 16.40, q < 0.001). Cannabis use significantly predicted paranoia (β = 0.009, q < 0.001). Interactions emerged between standard THC units and both emotional abuse (β = 0.011, q < 0.001) and household discord (β = 0.011, q < 0.001). SEM revealed a small but significant indirect effect of trauma on paranoia via cannabis use (β = 0.004, p = 0.017).

These findings highlight childhood trauma as a primary driver of paranoia, with cannabis use amplifying its effects. While trauma had a strong direct impact, cannabis played a significant mediating role. Integrating standard THC units into psychiatric research and clinical assessments may enhance risk detection and refine intervention strategies, particularly for childhood trauma-exposed individuals.

About 13% of pregnant women with substance use disorder (SUD) receive treatment and many may encounter challenges in accessing perinatal care, making it critical for this population to receive uninterrupted care during a global pandemic.

From October 2021-January 2022, we conducted an online survey of pregnant and postpartum women and interviews with clinicians who provide care to this population. The survey was administered to pregnant and postpartum women who used substances or received SUD treatment during the COVID-19 pandemic.

Two hundred and ten respondents completed the survey. All respondents experienced pandemic-related barriers to routine health care services, including delays in prenatal care and SUD treatment. Disruptions in treatment were due to patient factors (38.2% canceled an appointment) and clinic factors (25.5% had a clinic cancel their appointment). Respondents were generally satisfied with telehealth (M = 3.97, SD = 0.82), though half preferred a combination of in-person and telehealth visits. Clinicians reported telehealth improved health care access for patients, however barriers were still observed.

Although strategies were employed to mitigate barriers in care during COVID-19, pregnant and postpartum women who used substances still experienced barriers in receiving consistent care. Telehealth may be a useful adjunct to enhance care access for pregnant and postpartum women during public health crises.

Transcranial direct current stimulation (tDCS) is a promising treatment for major depressive disorder (MDD). This study evaluated its antidepressant and cognitive effects as a safe, effective, home-based therapy for MDD.

This double-blind, sham-controlled, randomized trial divided participants into low-intensity (1 mA, n = 47), high-intensity (2 mA, n = 49), and sham (n = 45) groups, receiving 42 daily tDCS sessions, including weekends and holidays, targeting the dorsolateral prefrontal cortex for 30 minutes. Assessments were conducted at baseline and weeks 2, 4, and 6. The primary outcome was cognitive improvement assessed by changes in total accuracy on the 2-back test from baseline to week 6. Secondary outcomes included changes in depressive symptoms (HAM-D), anxiety (HAM-A), and quality of life (QLES). Adverse events were monitored. This trial was registered with ClinicalTrials.gov (NCT04709952).

In the tDCS study, of 141 participants (102 [72.3%] women; mean age 35.7 years, standard deviation 12.7), 95 completed the trial. Mean changes in the total accuracy scores from baseline to week 6 were compared across the three groups using an F-test. Linear mixed-effects models examined the interaction of group and time. Results showed no significant differences among groups in cognitive or depressive outcomes at week 6. Active groups experienced more mild adverse events compared to sham but had similar rates of severe adverse events and dropout.

Home-based tDCS for MDD demonstrated no evidence of effectiveness but was safe and well-tolerated. Further research is needed to address the technical limitations, evaluate broader cognitive functions, and extend durations to evaluate its therapeutic potential.

People with mental illness often experience a concealable stigmatized identity that may be invisible to others. As a result, they are often faced with the dilemmas of whether to disclosure or conceal their diagnosis and their experience. However, in order to overcome the social stigma and self-stigma that hinder their recovery, they must establish a network and social support through identity disclosure.

This study investigates the effect of clinical characteristics (symptom and social function level), self-stigma and social support on the disclosure of people with mental illness.

The research was conducted with 236 respondents who are currently using community mental health services. (Male: 51.9%, Female: 48.1%; Mean age = 47.97±13.24; SPR: 66.8%, other diagnosis: 33.2%).

Most respondents disclosed their mental illness to health service providers and family, but they are least open about their identity toward neighbors and co-workers. A regression analysis of predictors of disclosure revealed that only social functioning level and social support had significant predictive power. It was discovered that individuals with better level of social function and social support disclosure more about their mental illness.

A program that increases social functions and support network can be recommended to improve disclosure efficacy.

None Declared

Human faces generally attract immediate attention. However, it has been found that children with autism spectrum disorder (ASD) tend to allocate relatively less attention to faces. Previous research showed that typically developing children (TD) exhibited an attentional bias to angry faces, regardless of their anxiety levels, but it’s unclear if this applies to children with ASD. Therefore, the present study aims to investigate attentional bias induced by angry and/or happy faces in children with ASD.

We explored attentional bias toward angry faces in both TD children and children with ASD. We hypothesize that while TD children will show attentional capture effects in response to angry faces, children with ASD will not exhibit such attentional bias to facial stimuli, irrespective of their emotional content.

By now, five ASD participants (all male) and 34 TD participants (17 male), aged 6-12, have completed a continuous performance task. In this task, irrelevant distractors (angry or happy faces) appeared and disappeared abruptly, while the orientation of the target changed every 1,250 ms. Participants were asked to respond as quickly and accurately as possible to the orientaiton of the target. We designated the time when the distractor first appeared as T1, and subsequent time intervals at 1,250 ms increments were labeled as T2, T3, and T4. The time intervals when no distractor was present were labeled as TB (baseline). If the reaction time (RT) at T1 was significantly slower compared to TB, it indicated attentional bias by the distractor.

For the RT data, separate repeated measures ANOVAs with 2 (emotion) * 5 (time) factors were conducted for each group. The results revealed a significant main effect of time (F(4, 132) = 17.59, p < .01) and a significant interaction between emotion and time (F(3.27, 107.74) = 4.92, p < .01) only in TD. Post hoc t-tests indicated that TD children exhibited significantly slower RT at T1 compared to TB, but this difference was observed only for angry faces (t(33) = 4.84, p < .01). In contrast, no significant effect was found in children with ASD. In other words, TD demonstrated attentional bias only when exposed to angry faces, while ASD children did not exhibit attentional bias to either emotion.

This study aimed to investigate attentional bias to angry faces in both TD and ASD children. The results indicate that TD children exhibited an attentional bias when exposed to angry faces, whereas ASD children did not display such bias. These findings are consistent with previous research suggesting that TD children tend to show attentional bias towards angry faces, regardless of their anxiety levels. Furthermore, the absence of attentional bias to angry faces in ASD suggests that their characteristic of reduced attention to faces may contribute to the lack of attentional bias towards angry faces.

None Declared

Suicide has a complex relationship with several factors, and it is known that identifying high-risk groups of suicide and managing crisis in advance can help prevent suicide. Moreover in a previous study, it showed that people with chronic diseases often suffer from psychological difficulties such as depression and anxiety, which can influence one to commit suicide. Based on many studies about the relationship between diabetes and depression, 10% of diabetic patients experience major depression, and diabetic patients experience twice as much depression as the general population. But, there are few studies examining the relationship between diabetes and suicide risk, and most of them were targeted for type 1 diabetes only.

The objectives of this study were to investigate the suicide risk in diabetic patients, and evaluate the suicide risk varies by the duration of diabetes, using a large population sample in South Korea

Using the 2019 Korea National Health and Nutrition Examination Survey data, 6,296 adults (aged 19 years or older) were included. Suicidal ideation, suicidal plan, and suicidal behavior of diabetic patients were compared with the general population. After classifying the patients into ≤ 1 year, 2 to 9 years, and 10 years ≤ for the duration of diabetes, we evaluated the relationship between the duration of diabetes and the risk of suicide.

Diabetic patients had higher prevalence of suicidal ideation (9.1%, P<0.001) and suicidal plan (3.6%, P<0.001) than general population. After adjusting for potential confounding factors, suicidal plan (aOR = 3.011, 95% CI = 1.392-6.512) was significantly associated with diabetes. In the 2 to 9 year group of diabetes, we found an increase in risk of suicidal ideation (aOR=2.068, 95% CI=1.219-3.510), suicidal plan (aOR=3.640, 95% CI=1.592-8.320), and suicidal behavior (aOR=6.222, 95% CI=1.759-22.008) after adjusting covariates. However, increase in suicide risk was not observed in the ≤1 year and 10 years ≤ groups after diagnosis of diabetes.

In adults, diabetes is associated with increase in suicide risk. Suicide risk in diabetic patients shows an ‘inverted U-shaped’ depending on the duration of diabetes.

None Declared

People experience various negative emotions when they encounter stressful events, and these negative emotions contribute to the onset of illnesses. These emotional responses are not limited to just one; a person can experience multiple emotions at once, and the primary emotional reactions can vary depending on the severity and duration of the illness or life events. This is reason why we created a self-report scale to assess short-term emotional responses, focusing on the current emotional state experienced subjectively by patients.

The purpose of this study was to develop an affective response scale (ARS) and examine its validity and reliability.

We established clusters of affective via a literature review and developed preliminary items based on the structure. We conducted expert content validation to converge on the final items, followed by construct validity and reliability analyses.

The research findings indicate that the Affective Response Scale was composed of three main dimensions: anxiety, anger, and depression. Content validity results confirmed the validity of most items. The scale developed in this study was found to be valid in both exploratory and confirmatory factor analyses, and it was identified to be stable and consistent through the analysis of the internal reliability.

These results indicate that the ARS is highly reliable and valid, and that it can be utilized as an effective measure of the patient’s emotion and its severity.

None Declared

Accordingly, the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) working committee, composed of domestic experts, developed Korea’s first KMAP-BP in 2002 and later in 2006, 2010, and 2010. A revised version of KMAP-BP was announced every four years four times in 2014 and 2018.6-10). The treatment strategy considering the safety and tolerability of KMAP-BP 2022 was developed by collecting opinions from domestic bipolar disorder experts.

Safety and tolerability of drugs are very important factors in the treatment of bipolar disorder. An expert opinion survey was conducted on treatment strategies in various special clinical situations, such as significant weight gain, characteristic drug side effects, low drug adherence, pregnant and reproductive women, and genetic counseling.

A written survey about treatment strategies related to safety and tolerability was prepared and focused on significant weight gain, characteristic drug side effects, low drug adherence, pregnant and reproductive women, and genetic counseling. Ninety-three experts of the review committee completed the survey.

In the case of weight gain occurring during drug treatment, it was preferred to replace it with a drug that caused less weight gain, such as lamotrigine, aripiprazole, or ziprasidone. If there was a significant weight gain due to the treatment drug, it was preferred to intervene as soon as possible. In the case of hyperprolactinemia, it was selected to change the medication and discontinue it for benign rash caused by lamotrigine. In improving drug adherence, the preference for long-acting injections increased. Antipsychotics can be used with great caution in pregnant or reproductive women.

Treatment strategies in various clinical situations related to safety and tolerability in drug treatment for bipolar disorder were described. It is hoped that it will be useful in practical clinical situations.

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It has been several years since the World Health Organization (WHO) advocated for shared decision-making(SDM) models when developing treatment plans for individuals with mental illnesses. It is emphasizing the importance of actively involving patients in expressing their opinions and sharing treatment-related information. However, few clinicians accept patients’ subjective views in clinical practice. Given that patients’ subjective beliefs about their symptoms significantly impact treatment satisfaction, prognosis, and adherence, it is essential to assess these perceptions. However, few studies have been conducted to assess patients’ subjective beliefs, their mental representation, of their disease. Therefore, this study aims to develop Interview that enable the utilization of patients’ cognitive representations of their mental illnesses in clinical practice.

The primary objective of this study is to develop a semi-structured interview and a self-report scale to evaluate patients’ mental representations of their illnesses. Subsequently, validate the reliability and validity of these tools as psychological assessments.

An initial structure for both the semi-structured interview and self-report scale was established through a literature review of existing disease representation measurements. Subsequently, expert panel discussions and further literature reviews were conducted to refine the structure and content of both tools. Content validity for both the interview and self-report scale was assessed by a panel of nine experts and a group of ten students. Following this, the developed interview tool was subjected to a validity analysis with clinical patients using Missick’s six validity criteria(Content, Substantive, Structural, Generalizability, External, Consequential).

Content validity index (CVI) values for the overall structure indicated that all subdomains scored above 0.8, demonstrating the appropriateness of the interview tool’s five subdomains: symptoms, causes, temporal aspects, impact, and treatment and control. Content validity assessment for individual items revealed that some items within the “causes of the disease” subdomain, specifically stress-related factors, scored below 0.6, prompting necessary item modifications. All other factors achieved CVI scores of 0.6 or higher. Facial validity assessment yielded favorable results for all items in the self-report scale. All validity was demonstrated to be satisfactory.

This study has provided evidence that the developed tools are reliable and valid instruments for measuring patients’ perceptions of their illnesses, offering a trustworthy means to assess these vital cognitive representations in clinical practice.

None Declared

While past research suggested that living arrangements are associated with suicide death, no study has examined the impact of sustained living arrangements and the change in living arrangements. Also, previous survival analysis studies only reported a single hazard ratio (HR), whereas the actual HR may change over time. We aimed to address these limitations using causal inference approaches.

Multi-point data from a general Japanese population sample were used. Participants reported their living arrangements twice within a 5-year time interval. After that, suicide death, non-suicide death and all-cause mortality were evaluated over 14 years. We used inverse probability weighted pooled logistic regression and cumulative incidence curve, evaluating the association of time-varying living arrangements with suicide death. We also studied non-suicide death and all-cause mortality to contextualize the association. Missing data for covariates were handled using random forest imputation.

A total of 86,749 participants were analysed, with a mean age (standard deviation) of 51.7 (7.90) at baseline. Of these, 306 died by suicide during the 14-year follow-up. Persistently living alone was associated with an increased risk of suicide death (risk difference [RD]: 1.1%, 95% confidence interval [CI]: 0.3–2.5%; risk ratio [RR]: 4.00, 95% CI: 1.83–7.41), non-suicide death (RD: 7.8%, 95% CI: 5.2–10.5%; RR: 1.56, 95% CI: 1.38–1.74) and all-cause mortality (RD: 8.7%, 95% CI: 6.2–11.3%; RR: 1.60, 95% CI: 1.42–1.79) at the end of the follow-up. The cumulative incidence curve showed that these associations were consistent throughout the follow-up. Across all types of mortality, the increased risk was smaller for those who started to live with someone and those who transitioned to living alone. The results remained robust in sensitivity analyses.

Individuals who persistently live alone have an increased risk of suicide death as well as non-suicide death and all-cause mortality, whereas this impact is weaker for those who change their living arrangements.

The objective of this study was to describe changes in emergency department volumes after statewide lockdown in a network of hospitals across the United States during the COVID-19 global pandemic.

A retrospective study was performed utilizing data on daily volumes across multiple emergency departments from a centralized data warehouse from a private for-profit hospital system during the COVID-19 pandemic. The mean daily volumes of 148 emergency departments were evaluated across 16 states in relation to each state’s governmental statewide lockdown orders. Comparisons of the same period in the prior year were evaluated for percent changes in volumes. We also compared pre-lockdown to post-lockdown volumes. A separate analysis was made for the pediatric ED volumes.

The 2020 post-lockdown volumes compared to the same 2019 dates revealed a mean percent change of −43.09%. The overall post-lockdown volumes compared to the pre-lockdown volumes had a mean percent change of −45.00%. The pediatric data revealed a greater mean percentage change in volumes of −71.52% (post-lockdown compared to 2019) and −69.03% (post-lockdown compared to pre-lockdown).

This study found an overall decrease in volumes among 148 emergency departments across 16 states when compared to the comparable period pre-global pandemic.