Bipolar Scales Research Articles

Relationship between subjective cognitive functioning and fluid and crystallized cognitive abilities in bipolar disorder.

People with bipolar disorder (BD) often show inaccurate subjective ratings of their objective cognitive function. However, it is unclear what information individuals use to formulate their subjective ratings. This study evaluated whether people with BD are likely using information about their crystallized cognitive abilities (which involve an accumulated store of verbal knowledge and skills and are typically preserved in BD) or their fluid cognitive abilities (which involve the capacity for new learning and information processing in novel situations and are typically impaired in BD) to formulate their subjective cognitive ratings. Eighty participants diagnosed with BD and 55 control volunteers were administered cognitive tests assessing crystallized and fluid cognitive abilities. Subjective cognitive functioning was assessed with the Cognitive Failures Questionnaire (CFQ), daily functioning was rated using the Multidimensional Scale of Independent Functioning (MSIF) and the Global Assessment of Functioning Scale (GAF), and quality of life was assessed with the Quality of Life in Bipolar Disorder scale (QoL.BD). The BD group exhibited considerably elevated subjective cognitive complaints relative to controls. Among participants with BD, CFQ scores were associated with fluid cognitive abilities including measures of memory and executive function, but not to crystallized abilities. After controlling for objective cognition and depression, higher cognitive complaints predicted poorer psychosocial outcomes. Cognitive self-reports in BD may represent a metacognitive difficulty whereby cognitive self-appraisals are distorted by a person's focus on their cognitive weaknesses rather than strengths. Moreover, negative cognitive self-assessments are associated with poorer daily functioning and diminished quality of life.

Methodological Variations to Explore Conflicting Results in the Existing Literature of Masking Smile Judgment.

Although a smile can serve as an expression of genuine happiness, it can also be generated to conceal negative emotions. The traces of negative emotion present in these types of smiles can produce micro-expressions, subtle movements of the facial muscles manifested in the upper or lower half of the face. Studies examining the judgment of smiles masking negative emotions have mostly employed dichotomous rating measures, while also assuming that dichotomous categorization of a smile as happy or not is synonymous with judgments of the smile's authenticity. The aim of the two studies was to explore the judgment of enjoyment and masking smiles using unipolar and bipolar continuous rating measures and examine differences in the judgment when instruction varied between judgments of happiness and authenticity. In Experiment 1, participants rated smiles on 7-point scales on perceived happiness and authenticity. In Experiment 2, participants rated the smiles on bipolar 7-point scales between happiness and a negative emotion label. In both studies, similar patterns were observed: faces with traces of fear were rated significantly less happy/authentic and those with traces of anger in the brows were rated significantly happier/more authentic. Regarding varied instruction type, no effect was found for the two instruction types, indicating that participants perceive and judge enjoyment and masking smiles similarly according to these two instructions. Additionally, the use of bipolar scales with dimensions between a negative emotion label and happiness were not consistently effective in influencing the judgement of the masking smile.

Medication Adherence and Its Relationship With Quality of Life and Functionality in Individuals With Bipolar Disorder: A Cross-Sectional Correlational Study.

The current cross-sectional correlational study aimed to determine the relationship of medication adherence with functionality and quality of life in individuals with bipolar disorder (BD). The research was conducted with 141 individuals with BD followed as outpatients. Data were collected using an information form, Morisky Medication Adherence Scale (MMAS), Quality of Life in Bipolar Disorder Scale (QoL.BD), and Bipolar Disorder Functioning Questionnaire (BDFQ). A significant positive correlation was found between participants' MMAS total score and QoL.BD (p < 0.001) and BDFQ (p < 0.05) scores. A significant positive correlation was also found between QoL.BD and BDFQ scores (p < 0.001). Medication compliance positively affects quality of life and social functionality in individuals with BD. Thus, interventions to increase medication adherence are recommended. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].

A Comparative Analysis of the Frequency of Bipolar Spectrum Disorder in Patients with and Without Psoriasis

Background: Psoriasis is a chronic disease that significantly negatively affects a patient’s quality of life. Based on etiopathological characteristics, there is strong evidence of susceptibility to psychological disorders, such as depression and bipolar disorder, in patients suffering from psoriasis. Objectives: We investigated the frequency of bipolar spectrum disorders in psoriasis patients compared to healthy controls in a selected population in Iran. Methods: This case-control study was conducted on two sample groups, with and without psoriasis (50 people in each group). The statistical population included all individuals referred to Shohadaye Tajrish and Taleghani Hospitals of Shahid Beheshti University of Medical Sciences, selected using the available method and assigned to two groups in 2023. The participants were examined for the presence of bipolar spectrum disorders using the Mood Disorder Questionnaire (MDQ) and the Bipolar Spectrum Diagnostic Scale (BSDS). Results: According to the MDQ questionnaire, the frequency rates of bipolar disorder in the patients and controls were 20% and 40%, respectively, with no significant difference between the groups (P = 0.108). Based on the BSDS, the frequency of bipolar disorder in the two groups, with and without psoriasis, was estimated to be 25% and 32.1%, respectively, with no significant difference (P = 0.226). The rate of major depressive disorders was also 22% and 26%, with no significant difference (P = 0.640). Conclusions: Among Iranian patients with psoriasis, the presence of the disease may not be associated with an increased risk of bipolar spectrum disorders.

Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders.

Bipolar and depressive disorders are distinct disorders with clearly different clinical courses, however, distinguishing between them often presents clinical challenges. This study investigates the utility of self-report questionnaires, the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS), with machine learning-based multivariate analysis, to classify patients with bipolar and depressive disorders. A total of 189 patients with bipolar disorders and depressive disorders were included in the study, and all participants completed both the MDQ and BSDS questionnaires. Machine-learning classifiers, including support vector machine (SVM) and linear discriminant analysis (LDA), were exploited for multivariate analysis. Classification performance was assessed through cross-validation. Both MDQ and BSDS demonstrated significant differences in each item and total scores between the two groups. Machine learning-based multivariate analysis, including SVM, achieved excellent discrimination levels with area under the ROC curve (AUC) values exceeding 0.8 for each questionnaire individually. In particular, the combination of MDQ and BSDS further improved classification performance, yielding an AUC of 0.8762. This study suggests the application of machine learning to MDQ and BSDS can assist in distinguishing between bipolar and depressive disorders. The potential of combining high-dimensional psychiatric data with machine learning-based multivariate analysis as an effective approach to psychiatric disorders.

Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach

Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and costs. Grant funding depends on the quality of psychotherapeutic measures. Bipolar Likert scales yield compositional data because any order of magnitude of agreement towards an item assertion implies a complementary order of magnitude of disagreement. Using an isometric log-ratio (ilr) transformation the bivariate information can be transformed towards the real valued interval scale yielding unbiased statistical results increasing the statistical power of the Pearson correlation significance test if the Central Limit Theorem (CLT) of statistics is satisfied. In practice, however, the applicability of the CLT depends on the number of summands (i.e., the number of items) and the variance of the data generating process (DGP) of the ilr transformed data. Via simulation we provide evidence that the ilr approach also works satisfactory if the CLT is violated. That is, the ilr approach is robust towards extremely large or infinite variances of the underlying DGP increasing the statistical power of the correlation test. The study generalizes former results pointing out the universality and reliability of the ilr approach in psychometric big data analysis affecting psychometric health economics, patient welfare, grant funding, economic decision making and profits.

MODIFICATION OF 3D BALANCE MODEL FOR BI-POLAR AGGREGATION OPERATORS VISUALISATION

Aggregation operators provide an overall assessment of an object or a process which is described with several quantitative criteria. An aggregation operator is constructed on the basis of expert knowledge and can take into account the types of criteria interdependencies, the partial order of criteria importance, the desired overall scores for distinct sets of the criteria values provided by an expert. However, in practice the aggregation operator construction process and its result appear to be difficult to perceive and understand by an expert. There is a balance model method for visualizing the aggregation operators in order to simplify evaluation of their conformity to expert preferences. This method allows visualizing an aggregation operator in an intuitively clear way as a mechanical system of weights on a rod. One limitation of the balance model method is that the weights can overlap each other on a rod which makes it difficult to perceive the aggregation result by the expert. A three-dimensional balance model overcomes this limitation but it can visualize unipolar aggregation operators only. This paper extends the existing three-dimensional balance model for bipolar aggregation operators. The extended model allows visualizing the aggregation operators of the criteria defined on bipolar scales of three different types: symmetric bipolar scales, homogeneous bivariate bipolar scales, heterogeneous bipolar scales. The model plane rotation angle constraints were updated to visualize the bipolar aggregation operators. The implementation of the extended model in the Unity game engine is presented. The application of the extended model is illustrated in a case study of the energy storage technology selection considering a trade-off between its performance and its environmental impact.

Evaluating the Abuse Potential of Lenabasum, a Selective Cannabinoid Receptor 2 Agonist.

Endocannabinoids, which are present throughout the central nervous system (CNS), can activate cannabinoid receptors 1 and 2 (CB1 and CB2). CB1 and CB2 agonists exhibit broad anti-inflammatory properties, suggesting their potential to treat inflammatory diseases. However, careful evaluation of abuse potential is necessary. This study evaluated the abuse potential of lenabasum, a selective CB2 receptor agonist in participants (n = 56) endorsing recreational cannabis use. Three doses of lenabasum (20, 60, and 120 mg) were compared with placebo and nabilone (3 and 6 mg). The primary endpoint was the peak effect (Emax) on a bipolar Drug Liking visual analog scale (VAS). Secondary VAS and pharmacokinetic (PK) endpoints and adverse events were assessed. Lenabasum was safe and well tolerated. Compared with placebo, a 20-mg dose of lenabasum did not increase ratings of Drug Liking and had no distinguishable effect on other VAS endpoints. Dose-dependent increases in ratings of Drug Liking were observed with 60 and 120 mg lenabasum. Drug Liking and all other VAS outcomes were greatest for nabilone 3 mg and 6 mg, a medication currently approved by the US Food and Drug Administration (FDA). At a target therapeutic dose (20 mg), lenabasum did not elicit subjective ratings of Drug Liking. However, supratherapeutic doses of lenabasum (60 and 120 mg) did elicit subjective ratings of Drug Liking compared with placebo. Although both doses of lenabasum were associated with lower ratings of Drug Liking compared with 3 mg and 6 mg nabilone, lenabasum does have abuse potential and should be used cautiously in clinical settings. SIGNIFICANCE STATEMENT: This work provides evidence that in people with a history of recreational cannabis use, lenabasum was safe and well tolerated, although it did demonstrate abuse potential. This work supports further development of lenabasum for potential therapeutic indications.

Linguo-cultural value of 忍 ‘patience’ in traditional and modern Chinese culture

The article outlines a gap in the comprehensive study of values and evaluation processes in human consciousness, emphasising how these processes are aligned with linguo-cultural concepts. The research aims to investigate the evolving cultural value of 忍 (rěn) ‘patience’ in Chinese culture, highlighting the significance of understanding these transformations in the context of axiological linguistics. A mix of qualitative and quantitative methods to explore the cultural and linguistic significance of 忍 (rěn) in Chinese culture was employed. Lexicographical, contextual, and semantic analyses, along with cultural commentary, were applied to describe the multifaceted meanings of 忍 (rěn). The study also used a two-part experimental approach: first, a survey collected diverse Chinese perceptions of 忍 (rěn) through adjectives/nouns, and then an evaluative experiment with bipolar semantic scales measured attitudes towards patience along various dimensions. The findings point out shifts in the modern interpretation of忍 (rěn) within Chinese culture. While traditional values emphasise endurance and resilience, contemporary perspectives acknowledge the complexity of patience, recognising its strategic, interpersonal, and ethical dimensions. The concept of patience is evolving to encompass adaptability, compromise, and long-term vision, reflecting changing societal values and the influence of globalisation. Despite these shifts, the significance of 忍 (rěn) in fostering personal growth, social harmony, and ethical conduct remains central to contemporary Chinese values and societal norms. The results contribute to a deeper understanding of the transformation of cultural values within society, illustrating how linguistic methods can be employed to study their evolving nature.

Introducing the trier univalence neutrality ambivalence (TUNA) database: A picture database differentiating complex attitudes.

Using validated stimulus material is crucial for ensuring research comparability and replicability. However, many databases rely solely on bidimensional valence ratings, ranging from negative to positive. While this material might be appropriate for certain studies, it does not reflect the complexity of attitudes and therefore might hamper the unambiguous interpretation of some study results. In fact, most databases cannot differentiate between neutral (i.e., neither positive nor negative) and ambivalent (i.e., simultaneously positive and negative) attitudes. Consequently, even presumably univalent (only positive or negative) stimuli cannot be clearly distinguished from ambivalent ones when selected via bipolar rating scales. In the present research, we introduce the Trier Univalence Neutrality Ambivalence (TUNA) database, a database containing 304,262 validation ratings from heterogeneous samples of 3,232 participants and at least 20 (M = 27.3, SD = 4.84) ratings per self-report scale per picture for a variety of attitude objects on split semantic differential scales. As these scales measure positive and negative evaluations independently, the TUNA database allows to distinguish univalence, neutrality, and ambivalence (i.e., potential ambivalence). TUNA also goes beyond previous databases by validating the stimulus materials on affective outcomes such as experiences of conflict (i.e., felt ambivalence), arousal, anger, disgust, and empathy. The TUNA database consists of 796 pictures and is compatible with other popular databases. It sets a focus on food pictures in various forms (e.g., raw vs. cooked, non-processed vs. highly processed), but includes pictures of other objects that are typically used in research to study univalent (e.g., flowers) and ambivalent (e.g., money, cars) attitudes for comparison. Furthermore, to facilitate the stimulus selection the TUNA database has an accompanying desktop app that allows easy stimulus selection via a multitude of filter options.

How music can change evaluations of social situations: Exploring the influence of emotional states and perceived group characteristics

In everyday life, music is increasingly being listened to through headphones and mobile devices in public situations. While a large body of research has demonstrated that music may influence the emotional states of listeners and affect multimodal perceptions i.e. in films, less is known about the music’s impact on environments and the interpretation of social situations. We conducted an online experiment to investigate the influence of music on evaluations, considering individuals’ emotional states (emotion congruence) and group perception. Participants were randomly assigned to one of three experimental conditions (music with positive valence and high arousal, music with negative valence and low arousal, and no music) while viewing images of two different social group types that varied in perceived group characteristics (group members being familiar or unfamiliar with each other). Images were rated on four bipolar scales measuring affective quality and cognitive evaluation of social situations. Results show that individuals who listened to negative music provided lower valence ratings and also judgded social environments lower in terms of pleasantness and cheerfulness (affective) than individuals in the other experimental conditions. In contrast, ratings of crowdedness and familiarity (cognitive) did not differ between experimental conditions. The effect of music on affective evaluations was shaped by social group types, such that participants were more influenced by music when viewing intimacy groups (e.g., friends) than when viewing transitory groups (e.g., strangers). Overall, our results support the assumption of mood congruency for affective evaluations and emphasize the need to consider social information when studying the influence of music on the perception of environments.

Лингвоаксиология эмоций: лингвокультурная ценность злости в русском языковом сознании

The article explores the linguocultural value of ZLOST’ in the Russian linguistic consciousness. It is based on the notion that the value of an emotion is culturally specific, not fully accessible to direct observation, yet can be discovered and measured using psycholinguistic methods. An experiment was conducted to identify the linguocultural value of the emotion ZLOST’ in the Russian linguistic consciousness. The scaling method was used for the experiment: in the first phase, seven-point bipolar scales were compiled based on the characteristics of the emotion ZLOST’ provided by the respondents. In the second phase, the participants rated the emotion ZLOST’ on these scales, and the results were processed and interpreted. It was found that ZLOST’ is most often rated as emotional and anxious, as well as strong, angry, stirring, and destructive (these scales showed the fewest zero ratings). The image of ZLOST’ as anxious, angry, destructive, and fast is almost unambiguously formed in the collective consciousness (these scales showed the least variance in ratings). The characteristics of the emotion ZLOST’ were arranged in descending order of the intensity of quality (characterized by the absolute value of the rating), and the numerical indicators were verbally interpreted: ZLOST’ is very emotional, very angry, very destructive, very anxious, dangerous, terrible, vivid, sad, impulsive, bad, quite sincere, quite stirring, quite fast, quite absorbing, quite large, quite strong, quite unconscious, quite hot, quite loud. The obtained results demonstrate the feasibility of using the applied methodology for studying the linguocultural value of emotions in the Russian linguistic consciousness, as well as in comparative studies.

Assessment of Student Perceptions of Aspects of a Career in Radiation Oncology

PurposeTo determine medical students’ views of various aspects of a career in radiation oncology (RO) to identify areas that may benefit from reform and to guide initiatives to stimulate broader and more diverse student interest in the specialty. Methods and materialsAn electronic survey was sent to student oncology interest group members at seven US medical schools. The survey asked students to rate 19 aspects of RO on a 5-point bipolar Likert-type scale. Descriptive statistics are reported, along with subgroup analyses based on participants’ demographics. ResultsThe response rate was 51.1% (n = 275 of 538). The most favorably rated aspects of RO were outpatient working hours (mean ± SD Likert-type rating of 4.51 ± 0.82), routinely working with other physicians (4.45 ± 0.76), and use of advanced technology to treat patients. The most unfavorably rated aspects of RO were less geographic flexibility for residency or employment (1.98 ± 1.04), spending a lot of time on a computer doing treatment planning (2.80 ± 1.21), and having a job that is not well understood by most doctors and the general public (2.89 ± 1.02). Gender was associated with significant differences in 8 of 19 questions in how each aspect of RO was viewed. Few differences were observed based on race or ethnicity, though Asian participants had a significantly more favorable view of RO being a more science-oriented specialty compared with White or underrepresented students, respectively (3.50 versus 3.21 versus 2.84, P = .01). ConclusionsThese findings inform the RO community in the development of more effective initiatives to encourage students to fully explore the specialty.

Efficacy and Safety of Adding Lurasidone to Ongoing Therapy With Lithium or Valproate for the Treatment of an Acute Bipolar Depressive Episode: A Post Hoc Analysis of 2 Placebo-Controlled Trials.

The aim of this study was to compare the efficacy and safety profile of lurasidone combined with either lithium or valproate, in the short-term treatment of patients with bipolar depression. Data were pooled from two 6-week, double-blind, placebo-controlled trials of patients with bipolar depression on stable doses of lithium or valproate randomized to lurasidone (20-120 mg/d) or placebo. Efficacy measures included the Montgomery-Åsberg Depression Rating Scale, Clinical Global Impressions Bipolar Scale, and the Quick Inventory of Depressive Symptomatology via self-assessment and were analyzed using a mixed model for repeated measures approach. Notably larger week 6 effect sizes were observed when lurasidone was added to lithium, compared with when lurasidone was added to valproate, on 2 of the 3 depression outcome measures, Montgomery-Åsberg Depression Rating Scale total score (d = 0.45 vs 0.22) and Quick Inventory of Depressive Symptomatology via self-assessment (d = 0.63 vs 0.29); the efficacy advantage was smaller on the Clinical Global Impressions Bipolar Scale depression score (d = 0.34 vs 0.29). Similar adverse event profiles were observed for lurasidone treatment in combination with either lithium or valproate. The most frequently reported events (≥5%) in both groups were nausea, parkinsonism, somnolence, akathisia, and insomnia. Minimal changes in weight, lipids, and measures of glycemic control were observed during treatment with lurasidone combined with either lithium or valproate. Lurasidone added to either lithium or valproate was found to be an effective treatment for bipolar depression, with a larger antidepressant effect observed when lurasidone was combined with lithium. There were no clinically meaningful differences in the safety or tolerability of lurasidone when used adjunctively with lithium or valproate.

Coping with the Mental Health Impacts of Climate Change: A Green Script for Sustainable Action

The climate emergency is an existential threat to human health and environmental sustainability. Recent climate-induced events, such as Australia’s catastrophic bushfires of 2019–2020 and floods of 2022, demonstrate the impacts of the climate crisis on physical and mental health of populations. Using a cross-sectional online survey (N = 5483), we examine how Australians are coping with climate change impacts on mental health. The survey included qualitative questions (open-ended comment boxes and ‘other’ spaces throughout the survey) and quantitative questions (e.g., Likert and bipolar scales) on demographics and the mental health impacts of climate change, environmental behaviour engagement (EBE), and mental health help-seeking (MHHS). Australians are using a range of individual and collective coping strategies to help cope with climate change problems, experiences, and anxiety. They have developed a range of coping strategies including contact with nature, taking sustainability actions, practicing problem-focused and meaning-focused coping, and mental health help-seeking, that need to be understood and reinforced by health professionals. Our findings also highlight a link between direct experience of a climate change event and participants’ EBE and MHHS. We recommend assessment processes and green prescribing as a sustainability action intervention framework that health professionals can offer as a response to ongoing community concern about climate change.

Factors associated with the discrepancy between objective and subjective cognitive impairment in bipolar disorder

ObjectiveThe aim of this study is to evaluate the discrepancy between objective cognitive measures and cognitive subjective complaints in a sample of euthymic patients with bipolar disorder (BD). MethodsOne hundred and sixteen participants (83 euthymic patients with BD and 33 healthy controls) were enrolled for this study. Patients were assessed with a comprehensive neuropsychological battery and they also reported their subjective cognitive complaints with the Cognitive Complaints in Bipolar Disorder Rating Scale (COBRA). The discrepancy between objective and subjective data was calculated using a novel methodology proposed in a previous study (Miskowiak, 2016). Statistical analyses included Pearson correlations and multiple linear regression. ResultsHigher number of previous depressive episodes was identified as one variable associated with the global sensitivity composite score (Beta = 0.25; t = 2.1; p = 0.04) and with the verbal learning and memory sensitivity score (Beta = 0.26; t = 2.16; p = 0.03). That is, patients with more previous depressive episodes tend to over-report cognitive complaints. In contrast, higher number of previous hospitalizations was associated with stoicism in the global total score (Beta = −0.27; t = −2.24: p = 0.029) and in the domain of attention/processing speed (Beta = −0.34; t = −2.52; p = 0.016), indicating patients with more hospitalizations tend to report less cognitive complaints. DiscussionOur study identified some factors that might help to explain the discrepancy between objective and subjective cognitive measures in BD, including number of previous depressive episodes and number of previous hospitalizations. This highlights the need of the combined use of both types of cognitive measures to make an accurate assessment of cognitive dysfunctions and their effective treatment.

Establishing markers of avoidant behavior in the context of developing sustainable behavior

Avoidance belongs to the category of maladaptive ways of situational interactions and is the most dangerous in terms of coping strategies. The purpose of the article is to present the results of the empirical establishment of avoidance markers, with the help of which it is possible to identify the orientation of the personality towards the manifestation of this behavioural strategy. The authors have developed an original verbal technique based on the type of peculiar semantic differential of personality traits containing nine bipolar scales for the study of avoidance. The approved and well-known tests from the conjugate areas of meaning regulation of behaviour were combined in the test battery to find markers of avoidant behaviour: the Life-Purpose Orientations Test by D. A. Leontiev and the Tolerance-intolerance of Ambiguity New Questionnaire by T. V. Kornilova. As a result of correlation analysis on a sample of 282 people at the level of statistical significance p =,05, the following markers of avoidance were established: «process» and «locus of control – Self» according to the Life-Purpose Orientations Test by D. A. Leontiev, as well as «tolerance to uncertainty» according to the Tolerance-intolerance of ambiguity new questionnaire by T. V. Kornilova. The use of these markers allows for the low-cost establishment of personal portraits of the strategy of avoiding behavior.

SPATIAL WORKING MEMORY IN PRODROMAL STAGE: AN EYE TRACKING STUDY

AbstractBackgroundIndividuals at ultra‐high risk for psychosis and bipolar disorder (UHR‐P and UHR‐BD) have shown cognitive abnormalities and sub‐threshold clinical features (de Paula et al., 2015; Metzler et al., 2014). Assessing saccadic eye movements is one of the useful methods for investigating high cognitive functions like spatial working memory and inhibition (Pierrot‐Deseilligny et al., 2005; Winograd‐Gurvich et al., 2008). Memory‐guided saccade (MGS) may be described as short‐term maintenance of attention both when a peripheral target is presented, and a delay screen. The purpose of this study was to examine the differences between clinical risk groups and healthy controls (HCs) based on the memory‐guided saccade.MethodThe study was included 33 UHR‐P (age: 21.61 ± 3.24), 28 UHR‐BD (age: 21.64 ± 4.02), and 28 HCs (age: 22.11 ± 4.03). Participants were selected from cases of clinical‐high‐risk criteria in interviews made with The Structured Interview of Psychosis Risk Syndromes and Bipolar Prodrome Symptom Interview and Scale. The memory‐guided saccade was measured with the number of the correct, incorrect, anticipatory and express saccades, also latency, peak velocity and amplitude for the correct saccades. Eye movement data were recorded from the right eye using an EyeLink 1000 Plus eye‐tracker. All results were analyzed with SPSS software.ResultThe anticipatory and express saccades in the cue screen, the anticipatory saccade in the delay screen and the total error response were significant between groups (p&lt;0.05). There was a significant increase in UHR‐BD compared to controls in the error responses (p = 0.018). The anticipatory saccades in UHR‐BD were higher than in both UHR‐P and HC on the cue screen (p = 0.005 and p = 0.014), and controls on the delay screen (p = 0.027). In addition, the express saccades in the cue screen showed statistical differences between the risk groups (p = 0.032). ConclusionMemory‐guided saccades are used to assess the top‐down mechanism, including perceptual organization and goal‐directed behaviors, and are related to frontal lobe functions like spatial working memory and inhibitory control (Ostendorf et al., 2004). The elevation of incorrect saccades and predictive parameters like anticipatory saccades have indicated that individuals at the prodromal stage may appear spatial problems in inhibitory and exhibitory functions.

Replicability of the five-factor structure of DSM-5 and ICD-11 trait systems and their associations with binge eating and bipolar spectrum psychopathology.

Since the research on contemporary personality models-and psychopathology-mainly originate from the Western world, we aimed to test the factorial structure of two trait systems assessed with the Personality Inventory for DSM-5 (PID-5) in a non-Western sample and to compare the extracted models' relative associations with binge eating disorder (BED) and bipolar spectrum disorder (BSD) symptoms. A community sample (N = 516; 72% female) was administered the PID-5, which can operationalize both the DSM-5 and ICD-11 systems. The factor structures of both systems were tested using exploratory structural equation modeling (ESEM). The congruence coefficients of all factor loadings with international studies were calculated. The Binge Eating Scale (BES), Bipolar Spectrum Diagnostic Scale (BSDS), and Hypomania Checklist-32-Revised (HCL-32) were used to measure the criterion variables. Linear regression models were used for comparing the DSM-5 and ICD-11 systems in predicting the BED and BSD. The findings supported five-factor solutions for both trait systems. Both systems significantly predicted dimensional measures of both BED and BSD (all p < 0.001). The present findings support an acceptable five-factor structure for both personality systems in the non-Western sample. Different algorithms of maladaptive domains on both systems are related to binge eating and bipolar spectrum psychopathology.

Emotional states, achievement goals, and performance in NCAA Division I swimmers

There is much interest in how emotions and achievement goals predict sports performance, yet little research has examined these topics in elite swimmers. This study involving NCAA Division 1 swimmers aimed to (a) present descriptive information on emotions and goals related to training and meets and (b) predict performance from emotions and 2 x 2 (performance-mastery x approach-avoidance) achievement goals. Over the course of five meets, 13 swimmers (4 men, 9 women) completed weekly ratings of bipolar emotional dimensions (e.g., sluggish-energetic) and achievement goals regarding their training. One day prior to meets, swimmers rated the same emotions and goals regarding the upcoming meet. Event performance was recorded in standardized FINA points. Swimmers (a) experienced neutral emotions (close to the midpoint of bipolar scales) regarding training and positive emotions about meets and (b) endorsed high levels of approach goals and moderate levels of avoidance goals. Correlational analyses revealed that positive emotions associated positively with approach goals and negatively with mastery-avoidance goals. Multilevel models predicting performance from emotions and goals showed sparse associations, with some evidence indicating that increases in energy and decreases in performance avoidance goals prior to a meet related to better performance. We discuss the implications of these findings.