Response Bias Research Articles

Effects of ebselen addition on emotional processing and brain neurochemistry in depressed patients unresponsive to antidepressant medication

Lithium is an effective augmenting agent for depressed patients with inadequate response to standard antidepressant therapy, but numerous adverse effects limit its use. We previously reported that a lithium-mimetic agent, ebselen, promoted a positive emotional bias—an indicator of potential antidepressant activity in healthy participants. We therefore aimed to investigate the effects of short-term ebselen treatment on emotional processing and brain neurochemistry in depressed patients with inadequate response to standard antidepressants. We conducted a double-blind, placebo-controlled 7-day experimental medicine study in 51 patients with major depressive disorder who were currently taking antidepressants but had an inadequate response to treatment. Participants received either ebselen 600 mg twice daily for seven days or identical matching placebo. An emotional testing battery, magnetic resonance spectroscopy and depression and anxiety rating scales were conducted at baseline and after seven days of treatment. Ebselen did not increase the recognition of positive facial expressions in the depressed patient group. However, ebselen increased the response bias towards fear emotion in the signal detection measurement. In the anterior cingulate cortex, ebselen significantly reduced the concentrations of inositol and Glx (glutamate+glutamine). We found no significant differences in depression and anxiety rating scales between visits. Our study did not find any positive shift in emotional bias in depressed patients with an inadequate response to antidepressant medication. We confirmed the ability of ebselen to lower inositol and Glx in the anterior cingulate cortex. These latter effects are probably mediated through inhibition of inositol monophosphatase and glutaminase respectively.

Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task

The Probabilistic Reward Task (PRT) is widely used to investigate the impact of Major Depressive Disorder (MDD) on reinforcement learning (RL), and recent studies have used it to provide insight into decision-making mechanisms affected by MDD. The current project used PRT data from unmedicated, treatment-seeking adults with MDD to extend these efforts by: (1) providing a more detailed analysis of standard PRT metrics—response bias and discriminability—to better understand how the task is performed; (2) analyzing the data with two computational models and providing psychometric analyses of both; and (3) determining whether response bias, discriminability, or model parameters predicted responses to treatment with placebo or the atypical antidepressant bupropion. Analysis of standard metrics replicated recent work by demonstrating a dependency between response bias and response time (RT), and by showing that reward totals in the PRT are governed by discriminability. Behavior was well-captured by the Hierarchical Drift Diffusion Model (HDDM), which models decision-making processes; the HDDM showed excellent internal consistency and acceptable retest reliability. A separate “belief” model reproduced the evolution of response bias over time better than the HDDM, but its psychometric properties were weaker. Finally, the predictive utility of the PRT was limited by small samples; nevertheless, depressed adults who responded to bupropion showed larger pre-treatment starting point biases in the HDDM than non-responders, indicating greater sensitivity to the PRT’s asymmetric reinforcement contingencies. Together, these findings enhance our understanding of reward and decision-making mechanisms that are implicated in MDD and probed by the PRT.

Measuring quality of life in older migrants: assessing the construct and convergent validity of the CASP-12 among older Chinese migrants

Objectives: Many people are ageing outside of their countries of origin, and the older adult population is becoming increasingly diverse globally. Although research with older migrants is growing, key constructs, such as quality of life (QOL), are routinely measured with instruments developed with the native population within a single country. Understanding the cultural appropriateness and validity of these measures should be a key focus for research with older migrants to ensure findings reported are based on reliable estimates. In this study, we investigated the validity of the CASP-12, an older adult-specific QOL scale, with a sample of older Chinese migrants in Aotearoa New Zealand. Methods: Survey data were collected from 245 older Chinese migrants. The CASP-12 and criterion measures assessing QOL, self-reported health, income adequacy, length of residence, perceived language barriers, household composition and education were administered. Results: Confirmatory factor analyses confirmed the three-factor structure of the CASP-12. Control & Autonomy, Pleasure and Self-realisation emerged as independent factors. A significant method effect was, however, identified in connection with reverse-scored items of the Control & Autonomy subscale, indicating a potential response bias. The CASP-12 and its subscales related to criterion measures in expected ways. Conclusions: There is partial evidence for the validity and reliability of the CASP-12 as a QOL measure to be used with older Chinese migrants. The presence of a method effect, however, suggests that estimates related to the Control & Autonomy subscale are impacted by bias, and revision of the CASP-12 may be necessary in the future.

Perception of ambiguous rhoticity in Glasgow

Relatively little research has been conducted on the effect of hearing an unfamiliar native English accent. This paper tests listeners with varying levels of familiarity with the Glaswegian linguistic environment, presenting them with naturalistic minimal pairs such as hut/hurt – produced by speakers raised in Glasgow – in two-alternative-forced-choice tasks. The results of Experiment 1 show a benefit of long-term familiarity in discriminating minimal pairs with derhoticised /r/, a phonetically eroded form of postvocalic /r/ in working class Glaswegian. Native Glaswegian listeners displayed high sensitivity to difference (d’), and low response bias (c) towards hearing either rhotic or non-rhotic words, indicating accurate perception. Unfamiliar listeners were less sensitive to stimulus difference, and were biased towards hearing plain vowels, demonstrating their unfamiliarity with Glaswegian /r/. Non-rhotic English listeners with a moderate level of experience with Glaswegian showed an effect of ‘perceptual hypercorrection’, i.e. over-reporting /r/ presence. Experiment 2 found that, following a short period of exposure, English listeners with very little experience with Glaswegian also started to show hypercorrection, suggesting rapid adaptation to novel phonetic detail. These results may be explained by some general principles underlying exemplar and hybrid theories, and contribute to the ongoing research into the complex nature of Scottish /r/.

Motivation, work experience, and teacher performance: A comparative study

This research study investigates the effect of intrinsic and extrinsic motivation on employee performance, with a specific focus on the moderating role of employees' work experience. This investigation utilizes a proposed framework, focusing on higher educational institutions in West Bengal, India. It contributes to the human resource management field by comparing teacher performance in private and government academic institutions based on their motivation levels. The study employs a quantitative approach, collecting data from 250 teachers in West Bengal, India, using a structured questionnaire. The dataset underwent analysis employing Partial Least Squares Structural Equation Modeling (PLS-SEM) due to its inherent capacity to accommodate smaller sample sizes while delivering precise and insightful outcomes. The results indicate a strong positive relationship between intrinsic and extrinsic motivation and teacher performance in both types of institutions. Work experience moderates the connection between intrinsic motivation and performance in both sectors but has no significant impact on the relationship between extrinsic motivation and performance in private academic institutions. This study links a gap in the literature by empirically exploring the impact of teacher motivation on their performance and provides valuable insights into the complex interplay among motivation, work experience, and performance. Practically, it emphasizes the importance of employee motivation and accumulated work experience in enhancing performance. This study attempts to underscore the role of work experience as a moderating variable, thereby contributing to the novel discourse in the educational landscape of the post-pandemic era. The findings demand to identification of diverse organizational developmental drivers as work experience does not exhibit a strong mediation effect. However, limitations such as potential response bias should be considered in future research in this area.

In the new era of psychedelic assisted therapy: A systematic review of study methodology in randomized controlled trials.

Recent years have seen a resurgence in randomized, placebo controlled trials (RCTs) utilizing non-classical psychedelics (e.g. 3,4-methyl enedioxy methamphetamine [MDMA]), and classical psychedelics (e.g. psilocybin, lysergic acid diethylamide [LSD], and N,N-dimethyltryptamine [DMT/ayahuasca]) in conjunction with assisted therapy (AT) for psychiatric disorders. A notable methodological challenge in psychedelic AT, however, is the complexity of blinding procedures. The lack of efficacious blinding can introduce considerable response bias, reduce internal validity, and compromise participant retention. This systematic review examines design and blinding techniques in RCTs utilizing psychedelics and placebo for the treatment of psychiatric disorders. The aim of this work is to identify factors that may inform future RTC design for conducting psychedelics research. We conducted a systematic review of PubMed, MEDLINE, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL), Psycinfo, Embase, and Web of Science Core Collection to examine: (1) placebo selection, (2) study design, and (3) integrity of blinding measures. Sixteen publications were identified as meeting the criteria for a systematic review.Our findings suggest that traditional placebo administration is insufficient to control for expectancy confounds. Consequently, experimental methodology that limits personnel unblinding and the use of an active placebo are important considerations when designing prospective clinical studies involving psychedelics.

The influence of educational reform on the self-perceived readiness to practice of newly registered pharmacists in Ireland

Abstract Introduction Newly registered pharmacists serve important roles in our healthcare system. Investigation of their readiness to practice confirms whether their education has furnished them with the knowledge, skills and competencies to be practice-ready. In 2015, a five-year integrated master’s programme in Pharmacy replaced a 4 + 1 model and included integrated learning with dispersed experiential learning placements. Factors known to influence self-perceived readiness to practice are prior experiential learning, education, placement environment and preceptor relationship. Aim This study examined the self-perceived readiness to practice of newly registered pharmacists in their first year of qualification and the influence of educational reform. Methods The participants were newly registered pharmacists who had completed the undergraduate Pharmacy programme within the State. Participants were identified using the Pharmaceutical Society of Ireland’s database of newly qualified registrants. An email was circulated to registrants inviting them to participate in a cross-sectional online survey consisting of 25 items. Variables were self-perceived abilities to perform practice-related competencies (on a five-point Likert scale), relationship with preceptor, placement experience, and demographic information. Three cohorts were surveyed. The first cohort (2020) were graduates from the last year of the 4 + 1 programme. The second (2021) and third (2022) cohorts were graduates from the new five-year integrated programme. All analyses were performed using SPSS 24.0 (SPSS Inc, Chicago, IL, USA) and Microsoft Excel. Results Of 458 registrants, 71 completed the survey (response rate=15%). A greater proportion of females (65%, n=46) than males (31%, n=22) responded to this survey, with 4% (n=3) not disclosing a gender. Most respondents (83%, n=59) had undertaken a community pharmacy placement, while others had either a hospital placement (11%, n=8) or a mixed setting placement (5%, n=4). Participants perceived that they were adept at performing practice-related competencies. Participants agreed that they developed fruitful relationships with preceptors and had positive experiences on placement; when asked about preceptor feedback, there was a positive response: 55% for (n=17), 83% for 2021 (n=15), and 95% for 2022 (n=21). A curriculum effect was observed, as graduates from the post-reform cohort declared readiness to practice in more areas than pre-reform graduates, e.g. in leadership: (58% for 2020 [n=18], 61% for 2021 [n=11], and 73% for 2022 [n=16]), communication (58% for 2020 [n=27], 61% for 2021 [n=16], and 73% for 2022 [n=21]), and recommending drug therapies (77% for 2020 [n=24], 72% for 2021 [n=13], and 95% for 2022 [n=21]). Conclusion This study found that most respondents self-perceived themselves as ready for autonomous practice. Whilst this study found that the pharmacists surveyed were ready to practice, they may still lack practical skills. This study suggests adopting an integrated curriculum that incorporates experiential learning is supportive of readiness to practice and has a positive impact on self-perceived readiness to practice, placement setting, and preceptor relationships. The repeated cross-sectional nature of the study is a strength, but a limitation is the low response rate and there may be response bias by participants. This research seeks to contribute to curriculum development to support students in their transition to professional practice.

Structuring the Decision-Making Process Using Quantitative Options Valuation

This study focuses on enhancing decision-making processes in the construction industry by investigating quantitative decision-making models. The construction industry is known for its diverse projects and inherent risks. Effective decision-making is crucial for project success, but it faces challenges due to various factors. The research explores biases and heuristics in decision-making, specifically in entrepreneurial and managerial contexts, with a focus on two biases: overconfidence and representativeness. Data collection involved surveys administered to entrepreneurs and managers in prominent industrial sectors. The surveys measured the levels of overconfidence and representativeness in decision-making. Additionally, the study examined commonly used decision-making models in construction, including multi-criteria decision analysis, decision support systems, decision trees, and mathematical optimization techniques. The objective was to gain insights into applying quantitative models and improve the understanding of decision-making processes in construction projects. The survey achieved a response rate of 54%, and participating managers were categorized based on their two-digit Standard Industrial Classification (SIC) codes, specifically in the 1300, 3400, 3500, 3600, and 3800 categories. Rigorous statistical analyses were conducted to evaluate potential response bias. Comparing usable responses to non-respondents using chi-square tests, no significant evidence of bias was found (χ^2 (4) = 3.973, p = .59). Moreover, a further analysis explored potential response bias across the broader set of five two-digit SIC categories, and again, no significant evidence of bias was observed (χ^2 (5) = 1.782, p = .878). The findings of this study contribute to the improvement of decision-making in construction projects and provide valuable insights into the practical application of quantitative models. By addressing biases and exploring effective decision-making approaches, this research aims to enhance project success within the complex construction industry.

A Framework for Detecting Both Main Effect and Interactive DIF in Multidimensional Forced-Choice Assessments

In recent decades, multidimensional forced-choice (MFC) tests have gained widespread popularity in organizational settings due to their effectiveness in reducing response biases. Detecting differential item functioning (DIF) is crucial in developing MFC tests, as it relates to test fairness and validity. However, existing methods appear insufficient for detecting DIF induced by the interaction between multiple covariates. Furthermore, for multi-category, ordered or continuous covariates, existing approaches often dichotomize them using a-priori cutoffs, commonly using the median of the covariates. This may lead to information loss and reduced power in detecting MFC DIF. To address these limitations, we propose a method to identify both main effect DIF and interactive DIF. This method can automatically search for the optimal cutoffs for ordered or continuous covariates without pre-defined cutoffs. We introduce the rationale behind the proposed method and evaluate its performance through three Monte Carlo simulation studies. Results demonstrate that the proposed method effectively identifies various DIF forms in MFC tests, thereby increasing detection power. Finally, we provide an empirical application to illustrate the practical applicability of the proposed method.

The Spectrum of Response Bias in Trauma Reports: Overreporting, Underreporting, and Mixed Presentation

AbstractTypically, research on response bias in symptom reports covers two extreme ends of the spectrum: overreporting and underreporting. Yet, little is known about symptom presentation that includes both types of response bias simultaneously (i.e., mixed presentation). We experimentally checked how overreporting, underreporting, and mixed reporting reflect in trauma symptom reports. Undergraduate students (N = 151) were randomly allocated to one of four conditions: control group (n = 40), overreporting (n = 37), underreporting (n = 36), or a mixed reporting (n = 38) group. The control group was asked to be honest, whereas the simulation groups received instructions they were expected to be able to relate to. Participants were administered a PTSD checklist, the Supernormality Scale-Revised, which screens for symptom denial, and the Inventory of Problems-29, which gauges overreporting. For all three measures, group differences were significant (F(3, 147) > 13.78, ps < . 001, ɳ2 > .22), with the overreporting group exhibiting the most severe symptom presentation and the underreporting group endorsing the fewest symptoms, while the mixed group almost perfectly imitated the results of the control group on all measures. Thus, instructing individuals to strategically exhibit both overreporting, to a functional degree, and underreporting results in a symptom presentation that is relatively similar to genuine performance. To optimize accuracy statistics, researchers might want to consider including such mixed group condition in future simulation studies.

To be, or not to be in formalization: the relationship between HR practices and work engagement in the aviation industry

Purpose This study aims to examine the moderating role of formalization in the relationship between human resources (HR) practices and work engagement (WE) in aviation industry employees. The research revealed the moderator role of formalization, which is still one of the most critical components for aviation industry workers. Design/methodology/approach In the study, the authors used the survey method. In this explanatory and cross-sectional study, the authors examined a data set collected from aviation industry employees (n = 226) in Turkey using the partial least squares (PLS) method and tried to moderate the formalization. The authors analyzed the moderator role of formalization in the relationship between HR practices and WE with SmartPLS 3.0 and HAYES Process Macro. Findings The results of the study explain the effect of HR practices on WE in the context of social exchange theory through formalization. Findings show that formalization is an essential factor in HR practices’ resulting in higher WE. Research limitations/implications The study is cross-sectional. Research participants participated in the study voluntarily. This situation, in turn, may lead to a social desirability bias in participants' self-reported responses. To avoid this, the authors have prepared a standardized measurement tool. Again, since the authors do not request the names and institutions of the participants, confidentiality and anonymity are provided. Practical implications Research findings offer implications for companies and employees in developing economies, especially in the aviation sector. It refers to the necessity for companies aiming for a sustainable strategic position in the competitive aviation sector to attach importance to HR practices that will enable them to see their employees as a competitive advantage. In addition, the results emphasize the need for aviation industry companies to adopt an approach that considers both practices that can increase WE and formalization procedures that can affect employee behavior. Originality/value This research provides a comprehensive understanding to examine the interrelationships between HR, formalization and WE in the context of the mechanism of social change in the context of aviation industry workers. To the best of the authors’ knowledge, no other researcher has holistically addressed these links in general, particularly in a developing country. The findings significantly enrich the literature on HR practices and WE, particularly in the context of a developing country.

The socio-colonial history of Surinamese surnames applied to a validated surname list to identify ancestry in health research.

Around half of the population of Suriname, who are mainly of African and South Asian descent, migrated to the Netherlands at the end of the previous century, where they face higher perinatal and maternal mortality and up to 5 years lower life expectancy than European-Dutch. Analyses by ancestry are needed to address these inequalities, but the law prohibits registration by ancestry. Therefore, a list of Surinamese surnames was compiled and validated to identify the largest groups, African-Surinamese or South Asian-Surinamese ancestry in health research. A complete database of Surinamese surnames was provided by the National Population Registry of Suriname. Surname recognition by researchers of Surinamese ancestry was used. Disagreement was resolved using historical registers and through discussion. The list was further validated against contemporary lists of Surinamese surnames with self-defined ancestry, obtained during population and clinical studies in Suriname and the Netherlands. All 71,529 Surinamese surnames were encoded, as African-Surinamese (34%), South Asian-Surinamese (18%), Brazilian or other Iberian (17%), Indonesian-Surinamese (13%), Chinese-Surinamese (5%), First Nation (2%), and other (10%). Compared to self-defined ancestry, South Asian-Surinamese surname coding had 100% sensitivity, 99.8% specificity, and 99.9% accuracy. For African-Surinamese, who may have Dutch surnames, these values depended on geocoding. With a known Surinamese origin, sensitivity, specificity, and accuracy were, respectively, 97.3%, 100%, and 98.6%, but without this information, there was interference of African-Surinamese with European-Dutch surnames in the Dutch validation sample. In conclusion, the Surinamese Surname List has a high accuracy in identifying persons of Surinamese ancestry. This quick, inexpensive, and nonintrusive method, which is unaffected by response bias, might be a valuable tool in public health research to help address the profound health disparities by ancestry.

1082 Creation of a Spine Healthcare Resource Utilization Grouping (SHRUG) to Complement Patient-reported Outcome Measurements in Assessing Surgical Success

INTRODUCTION: Patient-reported outcome measures (PROs) are increasingly utilized to assess surgical success. However, when taken as the sole measure of surgical success they have limitations due to the requirement of collection time and infrastructure, response bias, and inherently subjective nature. The large volume of digital data generated by modern health systems may instead offer a method to track healthcare utilization and surgical outcome. METHODS: We retrospectively reviewed a consecutive patients undergoing elective surgery to the cervical and lumbar spine for degenerative pathologies at our institution. Pre- and post-operative 12-month change in PROMIS Global Health was collected. Post-operative measures of healthcare utilization included clinic visits, inpatient encounters, telephone encounters, opioid use, physical therapy, injections, and imaging. A SHRUG metric was then constructed through latent profile analysis. RESULTS: A total of 8039 surgeries were included in our analysis. Four utilization groups were identified: 1) low utilizer group, representing 53.9% of all patients; 2) moderate utilizer group (13.2%); 3) heterogenous utilizer group (25.2%); and 4) high utilizer group (7.7%). Patients were placed into one of four groups with high average probability (97%, 92%, 95%, 93% respectively). CONCLUSIONS: Our study developed a novel method for defining surgical outcomes based on healthcare utilization. These groupings have the potential to add an objective measure of operative success to supplement the use of PROs clinically. SHRUG can approximates PROMIS, nonbiased, provides new insight on outcome and healthcare utilization, and finally clinically feasible to implement.

[Process Approach in Memory Assessment of Patients With Alzheimer's Disease and Mild Cognitive Impairment:A Review].

The process approach,a set of analytical methods used in neuropsychology,quantifies the word-list learning tests and conventional analytical methods and fully reflects the memory profile of the subject.Therefore,it is widely used in the memory assessment of patients with Alzheimer's disease(AD)and mild cognitive impairment(MCI).The common indices of process approach,such as learning slope,semantic clustering,serial position effects,discriminability,and response bias,are key components of memory assessment.This article reviews the application of common indices of process approach in memory assessment of AD and MCI patients and discusses the shortcomings and future research directions of process approach.

(Don't) look where you are going: Evidence for a travel direction signal in humans that is independent of head direction.

We often assume that travel direction is redundant with head direction, but from first principles, these two factors provide differing spatial information. Although head direction has been found to be a fundamental component of human navigation, it is unclear how self-motion signals for travel direction contribute to forming a travel trajectory. Employing a novel motion adaptation paradigm from visual neuroscience designed to preclude a contribution of head direction, we found high-level aftereffects of perceived travel direction, indicating that travel direction is a fundamental component of human navigation. Interestingly, we discovered a higher frequency of reporting perceived travel toward the adapted direction compared to a no-adapt control-an aftereffect that runs contrary to low-level motion aftereffects. This travel aftereffect was maintained after controlling for possible response biases and approaching effects, and it scaled with adaptation duration. These findings demonstrate the first evidence of how a pure travel direction signal might be represented in humans, independent of head direction. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Heterogeneity in the co-occurrence of depression and anxiety among adolescents: Results of latent profile analysis

BackgroundDepression and anxiety co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few previous studies investigated the heterogeneity based on person-centered perspectives in adolescents. The primary aim of our study was to explore it using latent profile analysis (LPA), a person-centered statistical approach. MethodThe Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) were used to examine depression and anxiety symptoms in 7422 Chinese adolescents from 23 primary and secondary schools. To investigate latent profiles and assess profile validity, we employed Latent Profile Analysis (LPA), multinomial logistic regression, and analysis of variance. ResultsA three-profile model was suggested as the optimum: low (69.9 %), moderate (21.6 %), and high depression/anxiety (8.5 %). Female with higher negative cognitive bias and higher emotional regulation difficulty are more likely to be categorized in the high depression/anxiety group. Internet addiction, academic “Lying flat” and involution are significantly and positively linked with the severity of anxiety and depression. LimitationsReliance on self-reported measures may lead to response bias; the cross-sectional design limits our ability to study how symptom profiles and category membership change over time. ConclusionsThree latent profiles of the co-occurrence of depression and anxiety presented a parallel pattern, which serves as a poignant reminder of the imperative need to identify Chinese adolescents who may be at elevated risk for depression and/or anxiety, and promoting intervention that are meticulously tailored to address the unique symptom presentations of each individual.

Examining the Psychometric Properties of the Czech Versions of Anti-Fat Attitudes Questionnaire (AFA) and Beliefs About Obese Persons Scale (BAOP)

Abstract: Purpose: The study aimed to evaluate anti-fat attitudes and beliefs among Czech adolescents and develop a Czech version of the Anti-Fat Attitudes Questionnaire (AFA) and Beliefs About Obese Persons Scale (BAOP). Methods and Participants: A total of 3,345 Czech adolescents aged 11–19 years completed sociodemographics, AFA, and BAOP. Results: The confirmatory factor analysis confirmed a three-factor solution and adequate factor validity for AFA. For BAOP, our data did not support the one-factor solution. The bifactor solution that accounted for the negatively formulated items fit, however, the data well. We also found both questionnaires to be invariant by sex. Age was inversely associated with BAOP and AFA Fear of Fat; higher ages were associated with higher AFA Dislike subscale scores. Girls scored higher on AFA Fear of Fat and boys on Dislike and Willpower. Limitations : Only Czech adolescents were included as participants, which could limit the applicability of the results to other age groups or cultural contexts. Furthermore, the use of self-report measurements introduces the potential for response biases. Conclusion: The Czech versions of both questionnaires demonstrated acceptable psychometric properties, but further research is needed to explore the wording effect for BAOP.

Stacked artificial neural network to predict the mental illness during the COVID-19 pandemic.

The individual's mental health crisis and the COVID-19 pandemic lead to mental disorders. The transmission of the COVID-19 virus is associated with the levels of anxiety, stress, and depression in individuals, similar to other factors. Increases in mental illness cases and the prevalence of depression have peaked after the pandemic struck. The limited social intervention, reduced communication, peer support, and increased social isolation during the pandemic resulted in higher levels of depression, stress, and anxiety which leads to mental illness. Physiological distress is associated with the mental disorders, and its negative impact can be improved mainly by early detection and treatment. Early identification of mental illness is crucial for timely intervention to decelerate disorder severity and lessen individual health burdens. Laboratory tests for diagnosing mental illness depend on the self-reports of one's mental status, but it is labor intensive and time consuming. Traditional methods like linear or nonlinear regression cannot include many explanatory variables as they are prone to overfitting. The main challenge of the state-of-the-art models is the poor performance in detecting mental illnesses at early stages. Deep learning models can handle numerous variables. The current study focuses on demographic background, Kessler Psychological Distress, Happiness, and Health determinants of mental health during the pandemic to predict the mental health. This study's prediction can help rapid diagnosis and treatment and promote overall public mental health. Despite potential response bias, these proportions are exceptionally elevated, and it's plausible that certain individuals face an even higher level of risk. In the context of the COVID-19 pandemic, an investigation into mental health patients revealed a disproportionate representation of children and individuals with neurotic disorders among those articulating substantial or severe apprehensions.

조직 구성원의 셀프리더십이 혁신행동에 미치는 영향 분석

In a rapidly changing business environment, innovative behavior within an organization is emphasized for a company to continuously develop and succeed. This study specifically identified various factors (self-leadership, entrepreneurship, and innovative behavior) that support such innovative behavior. Self-leadership refers to the ability of members to voluntarily and actively perform leadership roles within an organization. In relation to this, innovation behavior includes the act of introducing new ideas and leading change within the organization. This study examined the interaction between self-leadership and innovation behavior, focusing on empirical research on how entrepreneurship mediates the relationship between the two factors. For this purpose, a survey was conducted targeting 335 office workers over the age of 20, and among the collected questionnaires, 326 questionnaires, excluding 9 that were judged to have response bias, were used for analysis. For data analysis, SPSS Statistics ver 26.0 and Amos ver 23.0 programs, which are widely used in the social science field, were used, and the research results are as follows. First, self-leadership was found to have a positive influence on entrepreneurship and innovative behavior, and entrepreneurship was found to have a positive influence on innovative behavior. In other words, it was confirmed that the higher the self-leadership, the higher the entrepreneurship spirit, and the higher the entrepreneurship spirit, the higher the innovative behavior. Second, the indirect path from self-leadership to innovation behavior through entrepreneurship was found to be significant. Past studies have often emphasized the importance of innovative behavior, but have not sufficiently identified how individual factors can lead to and promote such behavior. This study further expanded the understanding of innovation by specifically examining how leadership style (self-leadership), an individual-level resource, functions in the relationship with innovative behavior. We hope that this study will serve as basic data to improve the organization's capabilities to respond to future challenges and opportunities and strengthen the organization's agility to change.

Can scent-detection dogs detect the stress associated with trauma cue exposure in people with trauma histories? A proof-of-concept study.

Post-traumatic stress disorder (PTSD) is an impairing mental health condition with high prevalence among military and general populations alike. PTSD service dogs are a complementary and alternative intervention needing scientific validation. We investigated whether dogs can detect putative stress-related volatile organic compounds (VOCs) in the breath of people with trauma histories (54% with PTSD) exposed to personalized trauma cues. Breath samples were collected from 26 humans over 40 experimental sessions during a calm (control breath sample) and stressed state induced by trauma cue exposure (target breath sample). Two scent detection canines were presented with the samples in a two alternative forced choice (2AFC) discrimination and yes/no detection task. The 2AFC task assessed the dogs' ability to discriminate between the two states within the breath samples of one individual. The detection task determined their ability to generalize the target odour across different individuals and different stressful events of one individual. Signal Detection Theory was applied to assess dogs' sensitivity, specificity, precision, and response bias. The dogs performed at ∼90% accuracy across all sample sets in the discrimination experiment, and at 74% and 81% accuracy, respectively, in the detection experiment. Further analysis of dog olfactory performance in relation to human donor self-reported emotional responses to trauma cue exposure suggested the dogs may have been detecting distinct endocrine stress markers. One dog's performance correlated with the human donors' self-reported fear responses and the other dog's performance correlated with the human donors' self-reported shame responses. Based on these correlations between dog performance and donor self-report measures, we speculate that the VOCs each dog was detecting likely originated from the sympathetico-adreno-medullary axis (SAM; adrenaline, noradrenaline) in the case of the first dog and the hypothalamo-pituitary-adrenal axis (HPA; glucocorticoids) in the case of the second dog. Our proof-of-concept study is the first to demonstrate that some dogs can detect putative VOCs emitted by people with trauma histories when experiencing distress theoretically associated with the intrusion and arousal/reactivity symptoms of PTSD. Results have potential to improve the effectiveness and training protocol of PTSD service dogs with a focus on enhancing their alert function.