Comparing ChatGPT's ability to rate the degree of stereotypes and the consistency of stereotype attribution with those of medical students in New Zealand in developing a similarity rating test: a methodological study.

Learning about one's implicit bias is crucial for improving one's cultural competency and thereby reducing health inequity. To evaluate bias among medical students following a previously developed cultural training program targeting New Zealand Maori, we developed a text-based, self-evaluation tool called the Similarity Rating Test (SRT). The development process of the SRT was resource-intensive, limiting its generalizability and applicability. Here, we explored the potential of ChatGPT, an automated chatbot, to assist in the development process of the SRT by comparing ChatGPT's and students' evaluations of the SRT. Despite results showing non-significant equivalence and difference between ChatGPT's and students' ratings, ChatGPT's ratings were more consistent than students' ratings. The consistency rate was higher for non-stereotypical than for stereotypical statements, regardless of rater type. Further studies are warranted to validate ChatGPT's potential for assisting in SRT development for implementation in medical education and evaluation of ethnic stereotypes and related topics.

Assessing emotional characteristics in Asian autistic adults without intellectual disability.

This study aimed to characterize the emotional features in Asian autistic adults without intellectual disability (n = 253) in comparison to non-autistic comparisons (n = 56) and schizophrenia (n = 56) by the Schutte's Emotion Intelligence Scale (SEIS). Among the autistic adults, 226 obtained results of both self-reported and mother-reported SEIS; 64 had repeated the SEIS within one month. We found low agreement between self-report and mother-report, particularly in autistic males. Overall, autistic adults showed difficulties in emotion perception and management that were differentiated from schizophrenia and were correlated with autistic features. Autistic adults may need more support and services in emotion perception and management.

Longitudinal mediation by perceived burden of the pathway from thwarted belonging to suicidal ideation.

INTRODUCTION: Whereas the interpersonal theory of suicide entails the assumption that thwarted belongingness and perceived burdensomeness are equally important, mutually moderating, proximal causes of active ideation, evidence suggests these may not be co-moderating processes. We tested an alternative perspective, hypothesizing that burden mediates the longitudinal relationship of thwarted belonging with active ideation. METHODS: A 6-week, four-wave prospective online survey was completed by 298 undergraduates. We tested cross-sectional and cross-lagged panel models (CLPM, with and without random effects) with belonging, burden, and ideation at 2-week lags, and post hoc models with burden as a concurrent mediator of ideation. RESULTS: Approximately 28% of undergraduates reported active ideation at baseline. Cross-sectionally, thwarted belonging had no direct influence on ideation but indirectly affected ideation via burden. This result was not confirmed in the 2-week CLPM analyses. In post hoc analyses, we found belonging operated indirectly via later burden to influence contemporaneous ideation. CONCLUSIONS: Findings suggest thwarted belonging influences active ideation indirectly via perceived burden. The effect of burden as a mediator appears to depend on its temporal proximity to ideation. Future research should delimit the period during which perceived burden is an active mediator, accommodate dual-process approaches, and explore other mediation alternatives to co-moderation.

Post-Moore Memory Technology: Sneak Path Current (SPC) Phenomena on RRAM Crossbar Array and Solutions.

The sneak path current (SPC) is the inevitable issue in crossbar memory array while implementing high-density storage configuration. The crosstalks are attracting much attention, and the read accuracy in the crossbar architecture is deteriorated by the SPC. In this work, the sneak path current problem is observed and investigated by the electrical experimental measurements in the crossbar array structure with the half-read scheme. The read margin of the selected cell is improved by the bilayer stacked structure, and the sneak path current is reduced ~20% in the bilayer structure. The voltage-read stress-induced read margin degradation has also been investigated, and less voltage stress degradation is showed in bilayer structure due to the intrinsic nonlinearity. The oxide-based bilayer stacked resistive random access memory (RRAM) is presented to offer immunity toward sneak path currents in high-density memory integrations when implementing the future high-density storage and in-memory computing applications.

A Novel Resistive Switching Identification Method through Relaxation Characteristics for Sneak-path-constrained Selectorless RRAM application.

Resistive random access memory (RRAM) is a leading candidate in the race towards emerging nonvolatile memory technologies. The sneak path current (SPC) problem is one of the main difficulties in crossbar memory configurations. RRAM devices with desirable properties such as a selectorless, 1R-only architecture with self-rectifying behavior are potential SPC solutions. In this work, the intrinsic nonlinear (NL) characteristics and relaxation characteristics of bilayer high-k/low-k stacked RRAMs are presented. The intrinsic nonlinearity reliability of bilayer selectorless 1R-only RRAM without additional switches has been studied for their ability to effectively suppress SPC in RRAM arrays. The relaxation properties with resistive switching identification method by utilizing the activation energy (Ea) extraction methodology is demonstrated, which provides insights and design guidance for non-uniform bilayer selectorless 1R-only RRAM array applications.

Graphite-based selectorless RRAM: improvable intrinsic nonlinearity for array applications.

Selectorless graphite-based resistive random-access memory (RRAM) has been demonstrated by utilizing the intrinsic nonlinear resistive switching (RS) characteristics, without an additional selector or transistor for low-power RRAM array application. The low effective dielectric constant value (k) layer of graphite or graphite oxide is utilized, which is beneficial in suppressing sneak-path currents in the crossbar RRAM array. The tail-bits with low nonlinearity can be manipulated by the positive voltage pulse, which in turn can alleviate variability and reliability issues. Our results provide additional insights for built-in nonlinearity in 1R-only selectorless RRAMs, which are applicable to the low-power memory array, ultrahigh density storage, and in-memory neuromorphic computational configurations.

Association of eating out with bone density in Taiwan.

OBJECTIVE: The present study analysed data derived from the 2004-2008 Nutrition and Health Survey in Taiwan, conducted by the Ministry of Health and Welfare, to understand the relationship among eating-out behaviour, related non-nutritional factors and osteopenia in the Taiwanese population. Design/Setting/Subjects Data of 1140 adults who had been evaluated with dual-energy X-ray absorptiometry in June 2007 were included. The data were analysed through descriptive and inferential statistics to determine the association of osteopenia with the frequency of eating out, demographic variables (i.e. age, sex, level of education, marital status and place of birth), BMI, waist circumference and food consumption. RESULTS: Gender, age, education level, personal income and waist circumference were all factors found to be significantly associated with eating-out frequency and the incidence of osteopenia. Eating-out frequency was negatively associated with the incidence of osteopenia. Individuals with BMI>27 kg/m2 had a lower frequency of eating out and a lower incidence of osteopenia. Individuals with a lower monthly income had a significantly greater chance of developing osteopenia. Men living without spouses had significantly higher chances of osteopenia. Ca intake was negatively associated with breakfast eating-out frequency. CONCLUSIONS: Eating-out frequency was not associated with an increasing incidence of osteopenia, but affected the Ca intake in the Taiwanese population. Having a balanced selection of food is crucial to reduce the incidence of osteopenia. Improving nutritional knowledge for those under higher risk of osteopenia is necessary to prevent osteopenia and Ca deficiency.

Facial and prosodic emotion recognition in social anxiety disorder.

INTRODUCTION: Patients with social anxiety disorder (SAD) have a cognitive preference to negatively evaluate emotional information. In particular, the preferential biases in prosodic emotion recognition in SAD have been much less explored. The present study aims to investigate whether SAD patients retain negative evaluation biases across visual and auditory modalities when given sufficient response time to recognise emotions. METHODS: Thirty-one SAD patients and 31 age- and gender-matched healthy participants completed a culturally suitable non-verbal emotion recognition task and received clinical assessments for social anxiety and depressive symptoms. A repeated measures analysis of variance was conducted to examine group differences in emotion recognition. RESULTS: Compared to healthy participants, SAD patients were significantly less accurate at recognising facial and prosodic emotions, and spent more time on emotion recognition. The differences were mainly driven by the lower accuracy and longer reaction times for recognising fearful emotions in SAD patients. Within the SAD patients, lower accuracy of sad face recognition was associated with higher severity of depressive and social anxiety symptoms, particularly with avoidance symptoms. CONCLUSION: These findings may represent a cross-modality pattern of avoidance in the later stage of identifying negative emotions in SAD. This pattern may be linked to clinical symptom severity.

Comparative validity of the Internet and paper-and-pencil versions of the Night Eating Questionnaire.

OBJECTIVE: This study examined the psychometric properties of the Internet and paper-and-pencil versions of the Mandarin Chinese version of the Night Eating Questionnaire (C-NEQ) and compared these measures' validity. METHOD: The C-NEQ was evaluated through two different media: 626 participants completed the C-NEQ on the Internet and 160 participants completed the paper-form C-NEQ at the psychiatric outpatient clinics. A subgroup completed both versions of the C-NEQ (n=50). The Night Eating Syndrome History and Inventory was used to identify individuals with night eating syndrome (NES). RESULTS: The paper-and-pencil and Internet versions of the C-NEQ both showed good internal consistency, reliability, and concurrent validity. Reliability between the Internet and the paper-and-pencil versions of the C-NEQ was excellent (ICC=.96). Diagnostic analysis of the C-NEQ's performance using the Receiver Operation Curve method showed excellent results in both versions; the area under the curve did not differ significantly between the versions. Regarding detecting NES, the Internet version had a higher optimal cutoff point than the paper-and-pencil version (23 and 22, respectively). CONCLUSIONS: The Internet and paper-and-pencil versions of the C-NEQ both showed strong reliability and validity; however the two versions appear to differ marginally regarding usage in NES detection.

Clozapine induces autophagic cell death in non-small cell lung cancer cells.

BACKGROUND/AIMS: Previous studies have shown that patients with schizophrenia have a lower incidence of cancer than the general population, and several antipsychotics have been demonstrated to have cytotoxic effects on cancer cells. However, the mechanisms underlying these results remain unclear. The present study aimed to investigate the effect of clozapine, which is often used to treat patients with refractory schizophrenia, on the growth of non-small cell lung carcinoma cell lines and to examine whether autophagy contributes to its effects. METHODS: A549 and H1299 cells were treated with clozapine, and cell cytotoxicity, cell cycle and autophagy were then assessed. The autophagy inhibitor bafilomycin A1 and siRNA-targeted Atg7 were used to determine the role of autophagy in the effect of clozapine. RESULTS: Clozapine inhibited A549 and H1299 proliferation and increased p21 and p27 expression levels, leading to cell cycle arrest. Clozapine also induced a high level of autophagy, but not apoptosis, in both cell lines, and the growth inhibitory effect of clozapine was blunted by treatment with the autophagy inhibitor bafilomycin A1 or with an siRNA targeting atg7. CONCLUSIONS: Clozapine inhibits cell proliferation by inducing autophagic cell death in two non-small cell lung carcinoma cell lines. These findings may provide insights into the relationship between clozapine use and the lower incidence of lung cancer among patients with schizophrenia.

Antipsychotic treatment and the occurrence of venous thromboembolism: a 10-year nationwide registry study.

OBJECTIVE: To examine the association between antipsychotic use and venous thromboembolism (VTE) in a Taiwan population. METHOD: We conducted a nested case-control study using the National Health Insurance Research Database in Taiwan. A total of 2,162 cases with VTE (defined as pulmonary embolism and infarction [ICD-9-CM-code: 415.1] or deep vein thrombosis [ICD-9-CM-codes: 451.1x, 451.81, or 453.8]) and 12,966 matched controls were identified from 2001 to 2010. Antipsychotic exposure status was measured, and potential confounding factors were adjusted for in the analyses. Conditional logistic regressions were applied to determine the effect of antipsychotic use on VTE. RESULTS: Current antipsychotic use was associated with an increased risk for VTE (adjusted odds ratio [AOR] = 1.52; 95% CI, 1.19-1.93). Among current antipsychotic users, new users had a higher risk of VTE (AOR = 3.26; 95% CI, 2.06-5.17), whereas the risk among continuous users was modest but not statistically significant (AOR = 1.18; 95% CI, 0.89-1.56). CONCLUSIONS: The results demonstrated an increased risk of VTE among subjects with current antipsychotic use. Antipsychotic drugs should be prescribed with caution and attention to the increased risk of VTE. The underlying mechanisms related to the effect of antipsychotics on VTE development warrant further investigation.

Switching from clozapine to zotepine in patients with schizophrenia: a 12-week prospective, randomized, rater blind, and parallel study.

Clozapine is the most effective antipsychotic for patients with treatment-refractory schizophrenia, but many adverse effects are noted. Clinicians usually hesitate to switch from clozapine to other antipsychotics because of the risk of a re-emergence or worsening of the psychosis, although empirical studies are very limited. Zotepine, an atypical antipsychotic with a pharmacologic profile similar to clozapine, was found to be an effective treatment for patients with treatment-resistant schizophrenia in Japan. This 12-week study is the first prospective, randomized, and rater-blind study to investigate the efficacy and tolerability of switching from clozapine to zotepine. Fifty-nine patients with schizophrenia, who had taken clozapine for at least 6 months with a Clinical Global Impression-Severity score of at least 3, were randomly allocated to the zotepine and the clozapine groups. At the end of the study, 52 patients (88%) had completed the trial. The 7 withdrawal cases were all in the zotepine group. The final mean (SD) dose of zotepine and clozapine was 397.1 (75.7) versus 377.1 (62.5) mg/d, respectively. Patients in the zotepine group showed a significant increase in the Brief Psychiatric Rating Scale [mean (SD), 4.7 (8.7) vs -1.3 (6.3); P = 0.005], more general adverse effects as revealed by the Udvalg for Kliniske Undersogelser Rating Scale [mean (SD), 1.74 (3.9) vs -0.2 (2.8); P = 0.039], more extrapyramidal adverse effects as demonstrated by the Simpson and Angus Scale [mean (SD), 1.29 (3.5) vs 0.17 (2.1); P = 0.022], an increased use of propranolol (37.1% vs 0%, P < 0.0001) and anticholinergics (25.7% vs 0%, P = 0.008), and an increased level of prolactin (29.6 vs -3.8 ng/ mL, P < 0.0005), compared with the clozapine group. The results suggested that switching from clozapine to zotepine treatment should be done with caution.

Measurement of waist circumference at different sites affects the detection of abdominal obesity and metabolic syndrome among psychiatric patients.

There is a lack of understanding about the impact of different waist circumference (WC) measurements on the detection of abdominal obesity and metabolic syndrome in psychiatric patients. This cross-sectional study included a total of 382 inpatients with schizophrenia-related disorders to assess each component of metabolic syndrome. WC was measured at the lowest rib, midpoint between the iliac crest and lowest rib, iliac crest, minimal waist, and umbilicus. Logistic regression analysis was performed to examine the ability of WC at each site to predict the presence of metabolic risk clustering. The mean WC values for all sites were significantly different from each other. The measurement site had an influence on the prevalence of abdominal obesity (30-38.2% in men and 53.9-86.3% in women). The influence on the prevalence of metabolic syndrome was greater with the International Diabetes Federation (IDF) criteria (19.3-23.9% in men and 29.4-43.1% in women) than with the Adult Treatment Panel III (ATP III) criteria (26.1-28.6% in men and 37.3-44.1% in women). The areas under the receiver operating characteristic curve for metabolic risk clustering were highest at the umbilicus and midpoint. Given that the WC measurement protocol has substantial influence on the prevalence of abdominal obesity and metabolic syndrome, a predefined measurement site is required for all psychiatric studies.

Predicting hospital-acquired infections by scoring system with simple parameters.

BACKGROUND: Hospital-acquired infections (HAI) are associated with increased attributable morbidity, mortality, prolonged hospitalization, and economic costs. A simple, reliable prediction model for HAI has great clinical relevance. The objective of this study is to develop a scoring system to predict HAI that was derived from Logistic Regression (LR) and validated by Artificial Neural Networks (ANN) simultaneously. METHODOLOGY/PRINCIPAL FINDINGS: A total of 476 patients from all the 806 HAI inpatients were included for the study between 2004 and 2005. A sample of 1,376 non-HAI inpatients was randomly drawn from all the admitted patients in the same period of time as the control group. External validation of 2,500 patients was abstracted from another academic teaching center. Sixteen variables were extracted from the Electronic Health Records (EHR) and fed into ANN and LR models. With stepwise selection, the following seven variables were identified by LR models as statistically significant: Foley catheterization, central venous catheterization, arterial line, nasogastric tube, hemodialysis, stress ulcer prophylaxes and systemic glucocorticosteroids. Both ANN and LR models displayed excellent discrimination (area under the receiver operating characteristic curve [AUC]: 0.964 versus 0.969, p = 0.507) to identify infection in internal validation. During external validation, high AUC was obtained from both models (AUC: 0.850 versus 0.870, p = 0.447). The scoring system also performed extremely well in the internal (AUC: 0.965) and external (AUC: 0.871) validations. CONCLUSIONS: We developed a scoring system to predict HAI with simple parameters validated with ANN and LR models. Armed with this scoring system, infectious disease specialists can more efficiently identify patients at high risk for HAI during hospitalization. Further, using parameters either by observation of medical devices used or data obtained from EHR also provided good prediction outcome that can be utilized in different clinical settings.

Finding social phobia patients from the Internet.

Patients with social phobia commonly resist face-to-face assessments, and a number of alternative assessment methods based on the Internet are being developed. The aim of this study was to identify patients with social phobia on the Internet and characterize their condition, using the Social Phobia Inventory (SPIN). In Stage I, this study recruited 1307 participants from the Internet, most of whom were well-educated young females, who had remained unmarried and unemployed. The Internet-based SPIN demonstrated excellent internal consistency (Cronbach's α=0.937) and good test-retest reliability (intraclass correlation coefficient=0.942). In Stage II, we examined the discriminant validity of the SPIN via structured telephone interviews. The area under the receiver operating characteristic curve used to discriminate social phobia was 0.871 with an optimal cut-off point of 24 on the total score for the SPIN. According to the SPIN scores, 919 of Stage I participants (70.3%) reached the threshold of social phobia, 531 of which (57.8%) had never sought professional help. These results suggest that the Internet is a potential avenue through which to find untreated patients with social phobia.

Mining association language patterns using a distributional semantic model for negative life event classification.

PURPOSE: Negative life events, such as the death of a family member, an argument with a spouse or the loss of a job, play an important role in triggering depressive episodes. Therefore, it is worthwhile to develop psychiatric services that can automatically identify such events. This study describes the use of association language patterns, i.e., meaningful combinations of words (e.g., ), as features to classify sentences with negative life events into predefined categories (e.g., Family, Love, Work). METHODS: This study proposes a framework that combines a supervised data mining algorithm and an unsupervised distributional semantic model to discover association language patterns. The data mining algorithm, called association rule mining, was used to generate a set of seed patterns by incrementally associating frequently co-occurring words from a small corpus of sentences labeled with negative life events. The distributional semantic model was then used to discover more patterns similar to the seed patterns from a large, unlabeled web corpus. RESULTS: The experimental results showed that association language patterns were significant features for negative life event classification. Additionally, the unsupervised distributional semantic model was not only able to improve the level of performance but also to reduce the reliance of the classification process on the availability of a large, labeled corpus.

Association of weight gain and metabolic syndrome in patients taking clozapine: an 8-year cohort study.

INTRODUCTION: Metabolic syndrome is an important side effect associated with clozapine. It has been hypothesized that weight gain contributes to the development of metabolic syndrome, but a direct diabetogenic effect has also been suggested. We conducted an 8-year cohort study to determine the association between weight gain and metabolic parameters among schizophrenic patients taking clozapine. METHOD: This study is a retrospective cohort study combining a cross-sectional survey of metabolic syndrome and retrospective chart review. The subjects were hospitalized schizophrenic patients (DSM-IV) who began to receive clozapine at least 3 months before the survey (March to September 2005) and subsequently had monthly body weight monitoring. Anthropometric and biochemical measurements were performed to determine the presence of metabolic syndrome. The chart reviews were conducted to obtain gender, age at initiation of clozapine treatment, baseline body mass index (BMI), BMI changes after the initiation of clozapine treatment, treatment duration with clozapine, and concomitant psychotropic medications. RESULTS: One hundred eighty-nine patients were maintained on clozapine for a mean ± SD treatment duration of 57.6 ± 27.3 months (range, 5-96). The prevalence of metabolic syndrome was 28.4%. The cohort regression models showed that baseline BMI (P < .01) and BMI change after clozapine treatment (P < .01) were significant factors for metabolic syndrome and 4 metabolic parameters except hyperglycemia, which was related to treatment duration (P < .05). CONCLUSIONS: For patients treated with clozapine, metabolic syndrome and most metabolic parameters were related to weight gain; however, glucose dysregulation was associated with treatment duration independent of weight gain. The results confirm that monitoring body weight is important, but periodic monitoring of blood sugar may also be required for clozapine patients who do not have significant weight gain.

Analysis of genetic variations in the human melatonin receptor (MTNR1A, MTNR1B) genes and antipsychotics-induced tardive dyskinesia in schizophrenia.

OBJECTIVES: Antipsychotics-induced tardive dyskinesia (TD) has been suggested to be related to altered dopaminergic neurotransmission in the striatum. Melatonin has a modulating effect on dopaminergic neurotransmission in the brain; therefore, the hypothesis of an association between the melatonin receptor genes (MTNR1A, MTNR1B) and antipsychotics-induced TD was examined in this study. METHODS: Schizophrenic inpatients receiving long-term antipsychotic treatment were assessed using the Abnormal Involuntary Movement Scale, and only patients who were either free of any abnormal involuntary movement (non-TD group) or who demonstrated persistent TD (TD group) were enrolled. Genotyping of six tagging single nucleus polymorphisms (SNPs) in the melatonin receptor genes (MRNR1A, MTNR1B) was then performed for each subject. RESULTS: Four hundred and eighteen inpatients (TD=256, non-TD=162) fitted the study criteria and underwent TD assessment and genotyping. Individual haplotype analysis showed that the haplotype ATG was significantly associated with non-TD (permutation P=0.037), and the association was also found to be significant by global haplotype analyses (permutation P=0.045). CONCLUSIONS: Our results indicated a significant association between the haplotype ATG in the MTNR1A gene and non-TD. Further replication in other countries or other populations is indicated.