To VR or not to VR: assessing cybersickness in navigational tasks at different levels of immersion

The advent of affordable, high-quality virtual reality (VR) devices has revolutionized experimental research in cognitive psychology and neuroscience, offering more immersive and naturalistic environments for studying skills like spatial navigation. However, the increased incidence of cybersickness in VR may compromise its advantages, necessitating appropriate tools to assess this phenomenon and understand its impact on experimental outcomes. Despite the growing use of VR in research, there is a lack of consensus on the most effective methods for measuring cybersickness across different experimental modalities and over time. Here, we compared two cybersickness assessment tools: the widely-used Simulator Sickness Questionnaire (SSQ) and the more recent Cybersickness in VR Questionnaire (CSQ-VR). Using a maze navigation task, we examined how cybersickness is modulated by modality (Desktop vs. VR) and habituation (decrease in cybersickness between morning and afternoon sessions) in a gender-balanced, young Spanish sample (n = 26) with a within-subjects design. We also investigated potential predictors of cybersickness related to the task and individual differences. Our results demonstrate high internal consistency for both tools, performing particularly well in VR, and SSQ showing higher reliability in Desktop conditions. Robust mixed factorial analyses revealed small to moderate effects of modality (VR > Desktop) and habituation in both SSQ and CSQ-VR scores. Robust regression analyses indicated that SSQ scores were predicted by modality and habituation, while CSQ-VR scores were mainly predicted by modality and VR experience. These findings highlight that: 1) both SSQ and CSQ-VR are reliable tools for assessing cybersickness during navigation tasks, especially in VR; 2) VR-induced cybersickness decreases with task repetition without apparent impact on performance; and 3) other performance and individual differences do not predict cybersickness. Our study provides valuable insights for optimizing VR task design in experimental settings, contributing to the broader field of VR-based research methodology in cognitive science

Campo laboral de la Licenciatura en Música de la Universidad de Guanajuato

La presente investigación examina la concordancia entre la formación que ofrece la Licenciatura en Música de la Universidad de Guanajuato para su salida terminal como instrumentista en el área de boquilla circular, su perfil de egreso explícito y la realidad laboral de sus personas egresadas, con el fin de contribuir a la descripción del panorama de la enseñanza de la música en el nivel superior en términos de empleabilidad e identificar áreas de oportunidad para la mejora del programa educativo señalado y como orientación vocacional para sus estudiantes. Por medio de una metodología mixta, que incluye la aplicación de una encuesta con seis preguntas de respuesta cerrada, una escala estimativa con seis ítems y una pregunta abierta semiestructurada a las veinte personas egresadas del área, además de análisis del mercado laboral y de la estructura curricular presente en el programa educativo, se describe la predominancia de la docencia, la interpretación musical en los campos popular y académico y la gestión y administración como ámbitos de trabajo más frecuentes, lo que, a su vez, señala la necesidad de fortalecer tanto el perfil de egreso como la estructura curricular del programa educativo con contenidos tendientes a desarrollar competencias en esas áreas

An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders

We aimed to identify diagnosis-specific/transdiagnostic/transoutcome multivariable candidate predictors (MCPs) of key outcomes in mental disorders. We conducted an umbrella review (protocol  link ), searching MEDLINE/Embase (19/07/2022), including systematic reviews of studies reporting on MCPs of response, remission, recovery, or relapse, in DSM/ICD-defined mental disorders. From published predictors, we filtered MCPs, validating MCP criteria. AMSTAR2/PROBAST measured quality/risk of bias of systematic reviews/individual studies. We included 117 systematic reviews, 403 studies, 299,888 individuals with mental disorders, testing 796 prediction models. Only 4.3%/1.2% of the systematic reviews/individual studies were at low risk of bias. The most frequently targeted outcome was remission (36.9%), the least frequent was recovery (2.5%). Studies mainly focused on depressive (39.4%), substance-use (17.9%), and schizophrenia-spectrum (11.9%) disorders. We identified numerous MCPs within disorders for response, remission and relapse, but none for recovery. Transdiagnostic MCPs of remission included lower disease-specific symptoms (disorders = 5), female sex/higher education (disorders = 3), and quality of life/functioning (disorders = 2). Transdiagnostic MCPs of relapse included higher disease-specific symptoms (disorders = 5), higher depressive symptoms (disorders = 3), and younger age/higher anxiety symptoms/global illness severity/ number of previous episodes/negative life events (disorders = 2). Finally, positive trans-outcome MCPs for depression included less negative life events/depressive symptoms (response, remission, less relapse), female sex (response, remission) and better functioning (response, less relapse); for schizophrenia, less positive symptoms/higher depressive symptoms (remission, less relapse); for substance use disorder, marital status/higher education (remission, less relapse). Male sex, younger age, more clinical symptoms and comorbid mental/physical symptoms/disorders were poor prognostic factors, while positive factors included social contacts and employment, absent negative life events, higher education, early access/intervention, lower disease-specific and comorbid mental and physical symptoms/conditions, across mental disorders. Current data limitations include high risk of bias of studies and extraction of single predictors from multivariable models. Identified MCPs can inform future development, validation or refinement of prediction models of key outcomes in mental disorders

A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic

The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world

Associations between mental and physical conditions in children and adolescents: An umbrella review

We mapped the evidence on the type and strength of associations between a broad range of mental and physical conditions in children and adolescents, by carrying out an umbrella review, i.e., a quantitative synthesis of previous systematic reviews and meta-analyses. We also assessed to which extent the links between mental and physical conditions vary across disorders or, by contrast, are transdiagnostic. Based on a pre-established protocol, we retained 45 systematic reviews/meta-analyses, encompassing around 12.5 million of participants. In analyses limited to the most rigorous estimates, we found evidence for the following associations: ADHD-asthma, ADHD-obesity, and depression-asthma. A transdiagnostic association was confirmed between asthma and anxiety/ASD/depression/bipolar disorder, between obesity and ADHD/ASD/depression, and between dermatitis and ASD/ADHD. We conclude that obesity and allergic conditions are likely to be associated with mental disorders in children and adolescents. Our results can help clinicians explore potential links between mental and physical conditions in children/adolescent and provide a road map for future studies aimed at shading light on the underlying factors

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries

The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data