Effects of Perceptual-Cognitive Training on Anticipation and Decision-Making Skills in Team Sports: A Systematic Review and Meta-Analysis

Team sports require athletes' exceptional perceptual-cognitive skills, such as anticipation and decision-making. Perceptual-cognitive training in laboratories aims to enhance these abilities. However, its effectiveness in real-game performance remains controversial, necessitating a systematic review and meta-analysis to determine optimal training methods. Following the PRISMA guidelines, we searched databases (e.g., PubMed, WOS, Scopus, and EBSCO) for relevant studies published before November 2023, assessed study quality, extracted important characteristics, and conducted a meta-analysis using Stata 15.1. This study was registered in PROSPERO (CRD42023494324). A total of 22 quantitative studies involving 45 effect sizes were included. Perceptual-cognitive training positively influenced elite athletes' anticipation and decision-making. However, its transfer effect on real-game performance improvement (ES = 0.65) was inferior to laboratory performance improvement (ES = 1.51). Sub-group analyses indicated that the effects of training interventions varied based on stimulus presentation and intervention duration. Based on our findings, we concluded that while perceptual-cognitive training improved on-court performance, its transfer effects were limited. To maximize effectiveness, future interventions should use virtual reality to present training stimuli and incorporate participants' sport-specific responses to reflect real-game scenarios.

Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach

Importance

Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a greater exposure to general risk factors for poor cognition.

Objective

To determine the extent that impairments in cognition in psychosis reflect risk factor exposures.

Design, Setting, and Participants

This cross-sectional study examined the relationship between exposures and cognitive function using data from the Bipolar-Schizophrenia Network on Intermediate Phenotypes studies 1 and 2 across 6 sites. Participants included healthy controls; patients with schizophrenia, schizoaffective disorder, or bipolar I disorder with psychosis; and relatives of patients. Predictive modeling was performed using extreme gradient boosting regression to train a composite cognitive score prediction model with nested cross-validation. Shapley additive explanations values were used to examine the relationship between exposures and cognitive function.

Exposure

Exposures were chosen based on associations with cognition previously identified: age, sex, race and ethnicity, childhood adversity, education, parental education, parental socioeconomic status, parental age at birth, substance use, antipsychotic dose, and diagnosis.

Main Outcomes and Measures

Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia.

Results

A total of 3370 participants were included: 840 healthy controls, 709 patients with schizophrenia, 541 with schizoaffective disorder, 457 with bipolar I disorder with psychosis, and 823 relatives of patients. The mean (SD) age was 37.9 (13.3) years; 1887 were female (56%) and 1483 male (44%). The model predicted cognitive scores with high accuracy: out-of-sample Pearson correlation between predicted and observed cognitive composite score was r = 0.72 (SD = 0.03). Individuals with schizophrenia (z = -1.4), schizoaffective disorder (z = -1.2), and bipolar I disorder with psychosis (z = -0.5) all had significantly worse cognitive composite scores than controls. Factors other than diagnosis and medication accounted for much of this impairment (schizophrenia z = -0.73, schizoaffective disorder z = -0.64, bipolar I disorder with psychosis z = -0.13). Diagnosis accounted for a lesser proportion of this deficit (schizophrenia z = -0.29, schizoaffective disorder z = -0.15, bipolar I disorder with psychosis z = -0.13), and antipsychotic use accounted for a similar deficit across diagnostic groups (schizophrenia z = -0.37, schizoaffective disorder z = -0.33, bipolar I disorder with psychosis z = -0.26).

Conclusions and Relevance

This study found that transdiagnostic factors accounted for a meaningful share of the variance in cognitive functioning in psychosis. A significant proportion of the cognitive impairment in psychosis may reflect factors relevant to cognitive functioning in the general population. When considering interventions, a diagnosis-agnostic, symptom-targeted approach may therefore be appropriate.

Decline of Affective Prosody Recognition With a Positivity Bias Among Older Adults: A Systematic Review and Meta-Analysis

PURPOSE

Understanding how older adults perceive and interpret emotional cues in speech prosody contributes to our knowledge of cognitive aging. This study provides a systematic review with meta-analysis to investigate the extent of the decline in affective prosody recognition (APR) among older adults in terms of overall and emotion-specific performance and explore potential moderators that may cause between-studies heterogeneity.

METHOD

The literature search encompassed five electronic databases, with a specific emphasis on studies comparing the APR performance of older adults with that of younger adults. This comparison was focused on basic emotions. Meta-regression analyses were executed to pinpoint potential moderators related to demographic and methodological characteristics.

RESULTS

A total of 19 studies were included in the meta-analysis, involving 560 older adults with a mean age of 69.15 years and 751 younger adults with a mean age of 23.02 years. The findings indicated a substantial negative effect size (g = -1.21). Furthermore, the magnitude of aggregated effect sizes showed a distinct valence-related recognition pattern with positive prosody exhibiting smaller effect sizes. Language background and years of education were found to moderate the overall and emotion-specific (i.e., disgust and surprise) performance effect estimate, and age and gender significantly influenced the effect estimate of happiness.

CONCLUSIONS

The results confirmed a significant decline in APR ability among older adults compared to younger adults, but this decline was unbalanced across basic emotions. Language background and educational level emerged as significant factors influencing older adults' APR ability. Moreover, participants with a higher mean age exhibited notably poorer performance in recognizing happy prosody. These findings underscore the need to further investigate the neurobiological mechanisms for APR decline associated with aging.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.26407888.

Differences in cognitive function at 18 y of age explain the association between low education and early dementia risk

Major initiatives attempt to prevent dementia by targeting modifiable risk factors. Low education is frequently pointed to, due to its relationship with dementia. Impact of education is difficult to assess, however, because of associations with multiple other factors, requiring large population-representative samples to tease the relationships apart. We studied 207,814 Norwegian men born between 1950 and 1959 who underwent compulsory cognitive testing during military conscription as young adults, to systematically test associations of education, cognition, and other important factors. Participants were grouped into five education levels and seven cognitive levels. A total of 1,521 were diagnosed with dementia between ages 60 and 69 y. While having compulsory education only was associated with increased risk (Hazard ratio [HR] = 1.37, CI: 1.17 to 1.60), this association was markedly attenuated when controlling for cognitive test scores (HR = 1.08, CI: 0.91 to 1.28). In contrast, low cognitive score was associated with double risk of later diagnosis, even when controlling for education (HR = 2.00, CI: 1.65 to 2.42). This relationship survived controlling for early-life socioeconomic status and replicated within pairs of brothers. This suggests that genetic and environmental factors shared within families, e.g., common genetics, parental education, socioeconomic status, or other shared experiences, cannot account for the association. Rather, independent, nonfamilial factors are more important. In contrast, within-family factors accounted for the relationship between low education and diagnosis risk. In conclusion, implementing measures to increase cognitive function in childhood and adolescence appears to be a more promising strategy for reducing dementia burden.

The impact of social support on university students living with mental illness: a systematic review and narrative synthesis

BACKGROUND

Limited reviews address the role of social support for university students with mental health issues, despite its proven significance for other vulnerable groups.

AIMS

The current review aims to examine the current evidence on the nature and impact of social support for students with self-reported and diagnosed mental health problems, along with the availability and effectiveness of social support interventions.

METHODS

Electronic databases (CENTRAL, CINAHL, Embase, HMIC, MEDLINE, PsycINFO, SCOPUS, Web of Science) and grey literature databases (EThOS, SSRN) were systematically searched from inception to March 2024 Articles were eligible for inclusion if they reported on the nature and role of social support for university students with mental health problems. Data from included articles were extracted and narratively synthesised. Quality of included studies was assessed using the Mixed Methods Appraisal Tool.

RESULTS

Ten studies, involving 3669 participants, were included. Findings indicated high social support significantly mitigated against suicide, depression, anxiety, and psychological distress. Barriers to support access and both positive and negative impacts on mental health were identified.

CONCLUSIONS

Results underscore the need to consider the distinct support requirements of students with mental health problems, who often face insufficient access to high social support. This emphasises the potential for effective interventions in this population.

Wii Fit Exercise's Effects on Muscle Strength and Fear of Falling in Older Adults With Alzheimer Disease: A Randomized Controlled Trial

PURPOSE

This study aimed to investigate how Wii Fit exercises affect muscle strength and fear of falling in older adults with Alzheimer's disease.

METHOD

The study included a total of 32 volunteers with Alzheimer's disease, aged 65-80 years. These participants were divided into two groups: the exercise group and the control group. The exercise group received a 30-min (one session) twice-weekly exercise program for 6 weeks with games selected from different categories, such as balance and aerobic exercises, with the Nintendo Wii virtual reality device. During this period, the control group did not receive any treatment, and routine medical treatments continued. At baseline and 6 weeks later, Mini-Mental State Examination, knee extension muscle strength, Timed Up and Go Test, and Tinetti Fall Efficacy Scale results were recorded in the exercise and control groups.

RESULTS

In intragroup comparison, a statistically significant difference was found in all tests (muscle strength, Timed Up and Go Test, and Tinetti Fall Efficacy Scale) in the exercise group after the exercise program (p < .05), while no significant difference was found in the control group (p > .05). According to the interaction of group and time in the intergroup comparison, there was no difference between the groups (exercise and control group) in muscle strength and Timed Up and Go Test (p > .05), but there was a difference in Tinetti Fall Efficacy Scale (p < .05).

CONCLUSIONS

This randomized controlled trial supports the claim that Wii Fit exercises can reduce the fear of falling in older adults with Alzheimer's disease.

Similar, not universal: the cognitive dimensions of conceptual prototypes of basic emotions in English and in Polish

The current study explores the differences in conceptualisation of the prototypical basic emotion lexicalisations (anger, disgust, fear, joy, sadness, surprise) in English and in Polish. Measures of concreteness, imageability and context availability were collected and analysed across the six semantic categories of basic emotions, across different parts of speech and between the self-determined genders of the study participants. The initial results indicate that within these cognitive dimensions the conceptualisations of basic emotions in English and in Polish are only similar on the more general but not the higher levels of conceptualisation. The folk-psychological division between positive and negative emotions and the grammatical parts of speech reveal similar patterns in basic emotion concepts in both Polish and in English. However, on the higher levels of conceptualisations that include specific basic emotion semantic categories and self-identified gender, marked language-specific differences become apparent. Different negative emotions drive the statistical differences in Polish and in English, and the gender effects on the measures of concreteness, imageability and context availability are opposite from one language to the other. In other words, basic emotions may be broadly mutually intelligible, but not exactly the same when communicated across languages and cultures.

Attention, working memory, and inhibitory control in aging: Comparing amateur singers, instrumentalists, and active controls

Despite the ubiquity of musical activities, little is known about the specificity of their association with executive functions. In this cross-sectional study, we examined this relationship as a function of age. Our main hypotheses were that executive functions would decline in older age, that this relationship would be reduced in singers and instrumentalists compared to nonmusician active controls, and that the amount of musical experience would be more strongly associated with executive functions compared to the specific type of activity. A sample of 122 cognitively healthy adults aged 20-88 years was recruited, consisting of 39 amateur singers, 43 amateur instrumentalists, and 40 nonmusician controls. Tests of auditory processing speed, auditory selective attention, auditory and visual inhibitory control, and auditory working memory were administered. The results confirm a negative relationship between age and executive functions. While musicians' advantages were found in selective attention, inhibitory control, and auditory working memory, these advantages were specific rather than global. Furthermore, most of these advantages were independent of age and experience. Finally, there were only limited differences between instrumentalists and singers, suggesting that the relationship between music-making activities and executive functions may be, at least in part, general as opposed to activity-specific.

Age-Dependent Relationship between Self-Esteem and Depressive Symptoms in Korean Adolescents: a Meta-Analysis of Longitudinal Studies

Self-esteem is a powerful protective factor against depressive symptoms, with cognitive vulnerability theory suggesting that early self-esteem more strongly predicts later depressive symptoms than vice versa. While some meta-analyses have examined these relationships, limited knowledge exists on the prospective relationship between self-esteem and depressive symptoms, particularly how it changes with age. This study conducted a longitudinal meta-analysis of nine studies (20,733 participants) on the prospective relationship between self-esteem and depressive symptoms in Korean children and adolescents. Relationships were analyzed by integrating the effect sizes of 22 zero-order correlations and 17 partial correlations and examining age-related changes. The results indicated significant negative correlations in both zero-order and partial correlations. Age-related changes showed a reverse U-shape trend in partial correlations, with the strongest negative association during childhood, weakening until age 14, and then strengthening again. Moderator analysis revealed no significant effect size variation based on publication type or gender proportion, but more recent birth cohorts exhibited a stronger negative relationship in zero-order correlations. Significant differences were also found based on the measurement instrument of depressive symptoms. These findings highlight the importance of tailored interventions to enhance self-esteem and mitigate depressive symptoms, extending the cognitive vulnerability model within Korea's cultural context and providing insights into Korean youth mental health.

Digital assessment of nonverbal behaviors forecasts first onset of depression

BACKGROUND

Adolescence is marked by a sharp increase in the incidence of depression, especially in females. Identification of risk for depressive disorders (DD) in this key developmental stage can help prevention efforts, mitigating the clinical and public burden of DD. While frequently used in diagnosis, nonverbal behaviors are relatively understudied as risk markers for DD. Digital technology, such as facial recognition, may provide objective, fast, efficient, and cost-effective means of measuring nonverbal behavior.

METHOD

Here, we analyzed video-recorded clinical interviews of 359 never-depressed adolescents females via commercially available facial emotion recognition software.

RESULTS

We found that average head and facial movements forecast future first onset of depression (AUC = 0.70) beyond the effects of other established self-report and physiological markers of DD risk.

CONCLUSIONS

Overall, these findings suggest that digital assessment of nonverbal behaviors may provide a promising risk marker for DD, which could aid in early identification and intervention efforts.

Assisted resolution and self-change: differences between healthcare systems

This editorial discusses a study by Day and colleagues, in which the authors investigated the prevalence of resolution of alcohol and other drug problems in the UK and compared people who resolved their problems with and without treatment.

Treating Anxiety-Based Cognitive Distortions Pertaining to Somatic Perception for Better Chronic Pain Outcomes: A Recommendation for Better Practice in the Present Day and the Cyber Age of Medicine

Anxiety-based cognitive distortions pertaining to somatic perception (ABCD-SPs)-primarily catastrophizing, fear avoidance, and kinesiophobia-have been repeatedly linked to worsening chronic, non-cancer pain (CNCP) outcomes of increased disability, amplified pain, ineffective opioid use, and opioid misuse. Several studies have suggested that treating ABCD-SPs can improve pain outcomes, yet identification and targeting of ABCD-SPs are not part of the standard medical pain assessment and treatment plan. Utilizing a narrative review of proposed mechanisms, published patient perspectives, and study correlations connecting these cognitive distortions with CNCP outcomes, an approach for better practice in the delivery of standard medical CNCP care can be deduced and formulated into a Belief and Behavior Action Plan (BBAP) for medical clinicians treating CNCP to implement into initial and maintenance care planning. These recommendations require relatively few resources to implement and have the potential to disseminate more effective CNCP treatment on a large scale now and in the future with the new frontier of cognitive computing in medicine.

Community-based interventions for mitigating cognitive-linguistic decline in older adults

Introduction

This study focuses on exploring the effectiveness of interventions in two community-based language rehabilitation care centers located in an economically underdeveloped region of northwest China.

Method

The research focuses on 35 older adults with cognitive-linguistic decline enrolled in both centers. The interventions provided to the participants include auditory training, sign language use enhancement, second language interest classes, and the promotion of elderly-mode applications on smartphones.

Results

The interventions were particularly effective in enhancing auditory processing and language comprehension skills. Additionally, the promotion of elderly-mode applications on smartphones proved to be a valuable tool in improving participants' language cognition.

Conclusion

The study underscores the importance of tailored community-based interventions in improving language skills and cognition and provides a basis for further research in this area.

Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy

BACKGROUND AND OBJECTIVES

This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.

RESEARCH DESIGN AND METHOD

Using machine learning algorithms including logistic regression, ridge regression, support vector machines, classification trees, and random forests, we predicted adherence from weeks 3 to 12. Predictors included game performance metrics in the first two weeks and baseline measures. These models' robustness and generalizability were tested through five-fold cross-validation.

RESULTS

The findings indicated that game performance measures were superior to baseline characteristics in predicting adherence. Notably, the games "Supply Run," "Ante Up," and "Sentry Duty" emerged as significant adherence predictors. Key performance indicators included the highest level achieved, total game sessions played, and overall gameplay proportion. A notable finding was the negative correlation between initial high achievement levels and sustained adherence, suggesting that maintaining a balanced difficulty level is crucial for long-term engagement. Conversely, a positive correlation between the number of sessions played and adherence highlighted the importance of early active involvement.

DISCUSSION AND IMPLICATIONS

The insights from this research inform just-in-time strategies to promote adherence to cognitive training programs, catering to the needs and abilities of the aging population. It also underscores the potential of tailored, gamified interventions to foster long-term adherence to cognitive training.

Advanced theory of mind and children's prosocial lie-telling in middle childhood: A training study

Children's advanced theory of mind (AToM) is concurrently associated with their prosocial lie-telling. However, the causal link between AToM and prosocial lie-telling has not yet been demonstrated. To address this gap, the current study adopted a training paradigm and investigated the role of AToM in children's prosocial lie-telling in middle childhood. A total of 66 9- and 10-year-old children who did not demonstrate any prosocial lie-telling in a disappointment gift paradigm at the baseline were recruited and randomly assigned to either the experimental group (n = 32) or an active control group (n = 34). The experimental group underwent a conversation-based training program of four sessions. The results showed significantly greater gains in AToM at the posttest for the experimental group children compared with the control group children, controlling for family socioeconomic status, children's literacy score, working memory, and inhibition. More important, the experimental group children were more likely to tell prosocial lies than the control group, even after controlling for the pretest AToM and other covariates. However, the training effects faded at the 6-month follow-up test after the training's completion. These findings provide the first evidence for the causal role of AToM in the development of prosocial lie-telling in middle childhood. The fade-out effect is discussed in the context of educational interventions.

Multisyllabic decoding achievement and relation to vocabulary at the end of elementary school

Multisyllabic decoding poses a significant challenge to upper elementary grade readers. The purposes of this study were to (a) examine the reliability and validity of a classroom assessment, the Multisyllabic Decoding Inventory (MDI); (b) describe fourth- and fifth-grade students' decoding of multisyllabic words in relation to their semantic difficulty (age of acquisition ratings); (c) investigate which aspects of word knowledge (word recognition and decoding skill, vocabulary knowledge, and morphological knowledge) predict real word and nonword reading for multisyllabic words; and (d) determine how student word knowledge and semantic difficulty of words jointly affect the odds of accurately recognizing a multisyllabic word. We found that (a) the MDI demonstrated acceptable internal consistency reliability and concurrent validity with standardized measures of word recognition and oral reading fluency; (b) students demonstrated strong performance in reading multisyllabic words and nonwords, but words with higher age of acquisition were less frequently recognized; (c) multisyllabic word reading was predicted by word recognition and decoding skill, vocabulary knowledge, and morphological knowledge, whereas multisyllabic nonword reading was predicted by decoding skills and morphological knowledge only; and (d) grade level, word recognition and decoding skill, and vocabulary at the student level increased the odds of recognizing a multisyllabic word correctly, whereas a word's age of acquisition rating decreased the odds of recognizing a multisyllabic word correctly. The results suggest that students in the upper elementary grades may benefit from multisyllabic decoding instruction that integrates decoding and vocabulary strategies.

Educational Expectations and Academic Persistence among Rural Adolescents: The Protective Role of High Self-Esteem

Rural adolescents are at higher risk of reduced academic persistence due to socioeconomic barriers. Educational expectations are theoretically viewed as important for adolescents' learning behaviors, and cross-sectional research has supported this assumption. However, few longitudinal studies have investigated the influence of educational expectations on adolescents' academic persistence. In addition, research has not clearly identified whether self-esteem moderates this link among adolescents who experience greater economic risk. Using data from two time points (i.e., six months apart), this study aims to provide a more complete understanding of whether, and under what conditions, rural adolescents' educational expectations influence academic persistence. The participants consist of 631 adolescents (Mage = 13.34 years at T1), and all the adolescents are from families with rural household registrations. The results show that the interaction term of educational expectations and self-esteem significantly predicts academic persistence. Specifically, after controlling for baseline academic persistence, educational expectations positively predict later academic persistence for rural adolescents with lower self-esteem, and educational expectations do not significantly predict later academic persistence for those with higher self-esteem. This study reveals the protective role of self-esteem in rural adolescents. High self-esteem benefits rural adolescents by protecting them from the effects of lower educational expectations on academic persistence. This finding also emphasizes the importance of developing self-esteem interventions for rural adolescents with low educational expectations to prevent them from experiencing weaker academic persistence.

Trait self-control: A Process Model perspective

What do self-controlled individuals do that distinguishes them from those who are more impulsive? That is, why are some people better able to align their behavior with personal long-term goals despite alternatives that would be more immediately gratifying? To address this question, we use the Process Model of Self-Control [1], which posits that all impulses are generated via a four-stage, recursive process and can be regulated by intentionally intervening at any of these stages. We suggest that this framework illuminates not only individual states of self-control, but also the diverse ways that stable individual differences in self-control can come about.

Interventions to decrease health students' stigma toward schizophrenia: A scoping review

BACKGROUND

Schizophrenia is heavily stigmatized among health professionals. Given that health professional students are future members of the workforce and will provide care for people with schizophrenia, it is essential to implement interventions aimed at reducing stigma among this group.

OBJECTIVE

This scoping review aimed to identify and synthesize existing literature on interventions to decrease schizophrenia stigma among health professional students, and to determine the possible gaps in the literature.

DESIGN

Nine electronic databases and gray literature were searched, including PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature, PsycINFO, MEDLINE, Web of Science, Scopus, China National Knowledge Infrastructure, WanFang, and Google on 5 May 2023. Two researchers independently conducted data screening, data extraction, and assessed study risks. A most updated search was also done on 22 May 2024. The Cochrane risk of bias tool version 2 for randomized trials and Risk of Bias in Non-randomized Studies were used to assess the studies' risk of bias. Data synthesis and analysis were conducted by two reviewers using a narrative approach. Reporting adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews.

RESULTS

This review included twenty-one studies with 2520 health professional students. The majority of included studies were non-randomized controlled trials (38 %) and pre-post studies (52 %). Most of the included studies were conducted in the United States (24 %). The participants in ten (48 %) studies were medical students. The number of intervention sessions ranged from one to 13, with an average of three. Seven (33 %) studies had an intervention duration of less than four weeks and 16 (76 %) studies had no follow-up. Various scales were used to assess the outcomes of schizophrenia stigma. Only two studies (10 %) indicated the intervention's ineffectiveness, with the majority of interventions led by psychiatry department faculty and individuals with schizophrenia.

CONCLUSIONS

Most studies (90 %) utilized various approaches, including face-to-face or online education, direct contact with individuals with schizophrenia, or a combination thereof, to diminish stigma among health professional students. However, none addressed cultural and empathy factors in their intervention designs, and the included studies lacked theoretical guidance. The review only comprised English quantitative studies with significant heterogeneity, with 17 studies (81 %) displaying serious or high risk of bias, limiting comprehensive discussions. These findings offer valuable insights for future systematic review.

TWEETABLE ABSTRACT

Studies on reducing health professional students' schizophrenia stigma need to address cultural and empathy factors.

Shadows of wisdom: Classifying meta-cognitive and morally grounded narrative content via large language models

We investigated large language models' (LLMs) efficacy in classifying complex psychological constructs like intellectual humility, perspective-taking, open-mindedness, and search for a compromise in narratives of 347 Canadian and American adults reflecting on a workplace conflict. Using state-of-the-art models like GPT-4 across few-shot and zero-shot paradigms and RoB-ELoC (RoBERTa -fine-tuned-on-Emotion-with-Logistic-Regression-Classifier), we compared their performance with expert human coders. Results showed robust classification by LLMs, with over 80% agreement and F1 scores above 0.85, and high human-model reliability (Cohen's κ Md across top models = .80). RoB-ELoC and few-shot GPT-4 were standout classifiers, although somewhat less effective in categorizing intellectual humility. We offer example workflows for easy integration into research. Our proof-of-concept findings indicate the viability of both open-source and commercial LLMs in automating the coding of complex constructs, potentially transforming social science research.

The dynamic and reciprocal relationship between perceived everyday discrimination and cognitive function in later life

OBJECTIVES

This study, based on socioemotional selectivity theory and cognitive theory, investigates the dynamic and reciprocal relationship between perceived discrimination and cognitive function in later life.

METHODS

Data were drawn from four waves of the Health and Retirement Study (HRS 2006, 2010, 2014, and 2018). A total of 4,125 people who were 51 and older were included. Cognitive function was measured by the telephone interview for cognitive status (TICS-27). Perceived discrimination was measured using scores of the perceived everyday discrimination scale. Random intercept cross-lagged panel model (RI-CLPM) was utilized. The model was adjusted for a range of covariates. Subgroup analysis by ethnoracial groups was conducted.

RESULTS

Cross-sectionally, while lower cognitive function was associated with higher perceived discrimination, this relationship was unidirectional. Longitudinally, higher perceived discrimination predicted lower cognitive function in later waves only among non-Hispanic White individuals.

CONCLUSION

Results suggested that a decline in cognitive function may precede and contribute to the worsening of perceived discrimination, which may result in further decline in cognitive function. Lifetime experience of discrimination was discussed as a possible source of the racial/ethnic variations in the relationship. Further study is needed to examine whether this relationship holds among people with cognitive impairment and dementia.

International comparison of hospitalizations and emergency department visits related to mental health conditions across high-income countries before and during the COVID-19 pandemic

OBJECTIVE

To explore variation in rates of acute care utilization for mental health conditions, including hospitalizations and emergency department (ED) visits, across high-income countries before and during the COVID-19 pandemic.

DATA SOURCES AND STUDY SETTING

Administrative patient-level data between 2017 and 2020 of eight high-income countries: Canada, England, Finland, France, New Zealand, Spain, Switzerland, and the United States (US).

STUDY DESIGN

Multi-country retrospective observational study using a federated data approach that evaluated age-sex standardized rates of hospitalizations and ED visits for mental health conditions.

PRINCIPAL FINDINGS

There was significant variation in rates of acute mental health care utilization across countries. Among the subset of four countries with both hospitalization and ED data, the US had the highest pre-COVID-19 combined average annual acute care rate of 1613 episodes/100,000 people (95% CI: 1428, 1797). Finland had the lowest rate of 776 (686, 866). When examining hospitalization rates only, France had the highest rate of inpatient hospitalizations of 988/100,000 (95% CI 858, 1118) while Spain had the lowest at 87/100,000 (95% CI 76, 99). For ED rates for mental health conditions, the US had the highest rate of 958/100,000 (95% CI 861, 1055) while France had the lowest rate with 241/100,000 (95% CI 216, 265). Notable shifts coinciding with the onset of the COVID-19 pandemic were observed including a substitution of care setting in the US from ED to inpatient care, and overall declines in acute care utilization in Canada and France.

CONCLUSION

The study underscores the importance of understanding and addressing variation in acute care utilization for mental health conditions, including the differential effect of COVID-19, across different health care systems. Further research is needed to elucidate the extent to which factors such as workforce capacity, access barriers, financial incentives, COVID-19 preparedness, and community-based care may contribute to these variations.

WHAT IS KNOWN ON THIS TOPIC

Approximately one billion people globally live with a mental health condition, with significant consequences for individuals and societies. Rates of mental health diagnoses vary across high-income countries, with substantial differences in access to effective care. The COVID-19 pandemic has exacerbated mental health challenges globally, with varying impacts across countries.

WHAT THIS STUDY ADDS

This study provides a comprehensive international comparison of hospitalization and emergency department visit rates for mental health conditions across eight high-income countries. It highlights significant variations in acute care utilization patterns, particularly in countries that are more likely to care for people with mental health conditions in emergency departments rather than inpatient facilities The study identifies temporal and cross-country differences in acute care management of mental health conditions coinciding with the onset of the COVID-19 pandemic.

Chaplain interventions and outcomes in outpatient settings: a scoping review

As chaplaincy is increasingly practiced in outpatient settings, further understanding is needed of what it entails and is accomplishing within this unique context. This scoping review summarizes 42 articles that describe the types of spiritual care interventions and programs offered by chaplains in outpatient settings, and their outcomes. Findings support that chaplaincy is practiced in outpatient settings, especially in palliative care, oncology, and primary care. Interventions are delivered by chaplains as the sole interventionist, and by interdisciplinary teams with chaplain participants. Results show that outpatient chaplain interventions are feasible and acceptable, with positive psychological and spiritual outcomes. More studies with consistent outcome measurements, and structured chaplain interventions are needed to draw further conclusions about the effectiveness of outpatient chaplain interventions.

An in-Depth Exploration of Consumer and Consumer Representative Views on Chronic Pain Management in Australia: A Key Informant Interview Study

Chronic pain affects millions of Australians. Despite guidelines recommending non-pharmacological approaches as the first line treatment, opioid medications remain among the most common treatments. This study interviewed consumers and consumer representatives (i.e., representatives of peak pain advocacy organizations in Australia) to gain first-hand perspectives on chronic pain treatment in Australia. Individual semi-structured Key Informant Interviews (KIIs) with three consumers and three representatives were undertaken. Interviews were transcribed, and thematic analysis applied. Results showed that consumers and consumer representatives identified critical treatment access barriers. Another shared theme related to overarching principles of care, with sub-themes pertaining to the need for an interdisciplinary approach and pain education. A further shared theme focused on typical medical interventions, with one shared subtheme regarding the benefits and drawbacks of pain medications. Both groups highlighted the importance of a biopsychosocial approach with consideration of mental health, particularly related to perceived stigma and comorbidities. These findings highlight that chronic pain remains both undertreated and inadequately treated in Australia. There is a critical need to use novel approaches to overcome access barriers and stigma, and to advance precision medicine to match patients to the treatment most likely to be of benefit as early as possible in their journey.

Knowing what they know: Preschool teachers' knowledge of math skills and its relation to instruction

Math experiences during the preschool years play an important role in children's later math learning. Preschool teachers exhibit considerable variability in the amount and types of mathematics activities they engage in with their students; one potentially important source of these individual differences is adults' knowledge of early math development. The current study aimed to describe preschool teachers' knowledge of numeracy, patterning, and spatial/geometric skills developed in preschool and its relation to their reported mathematics instruction. Participants (N = 83) completed a survey in which they judged whether particular early math skills could be observed in typically developing 4-year-olds in the United States and reported their frequency of engaging in different math instructional activities. Pre- and in-service preschool teachers' knowledge varied across the different domains (i.e., numeracy, patterning, and spatial/geometric) of mathematical thinking, but their reported frequency of instruction did not. Teachers who were found to be more accurate in their knowledge of early math development were more likely to report higher frequency of math instruction; looking specifically at the domains, the strength of association between knowledge and instruction was the strongest for numeracy. Such findings highlight the possibility that supporting preschool teachers' knowledge of the range of math skills their students can be developing may be one component of improving early math teaching and learning.

Reading skill profiles of dysfluent readers in grades 2 and 3

Text reading fluency (TRF) is a common reading intervention target in second and third grade. TRF requires the integration of several skills that result in several pathways to dysfluent reading. However, when applying the drill-down approach to intervention targeting, practitioners are guided to consider students' rate and accuracy when reading connected text after ruling out decoding difficulties. A question remains whether students' reading rate and accuracy alone is sensitive to differences in the underlying skills that promote TRF. We used latent profile analysis to investigate whether different profiles of component reading skills could be identified among second- (n = 127) and third-grade (n = 170) students who were referred for an intervention targeting TRF. Most students were identified as white (56%) and students were predominately English speakers (87%). At the beginning of the intervention, we measured participants' skills in listening comprehension, reading comprehension, reading vocabulary, word reading efficiency, and decoding efficiency. Four profiles emerged in both grades with similar patterns in terms of the component skills influencing TRF. Students in two of the profiles demonstrated relative strengths in word reading or reading comprehension with their other skills near the sample average. A third profile approximated the sample average across all component skills whereas the fourth profile was below the sample average in all measured skills. However, some of the empirically derived profiles did not differ in terms of students' average reading rate. For example, the average words read correct per minute did not significantly differ between students with relative strengths in comprehension and students with relative strengths with word reading. Our results suggest that differences in students' text reading rate and accuracy may not always capture potentially relevant differences in the skills that influence TRF.

Scaling Representation Learning From Ubiquitous ECG With State-Space Models

Ubiquitous sensing from wearable devices in the wild holds promise for enhancing human well-being, from diagnosing clinical conditions and measuring stress to building adaptive health promoting scaffolds. But the large volumes of data therein across heterogeneous contexts pose challenges for conventional supervised learning approaches. Representation Learning from biological signals is an emerging realm catalyzed by the recent advances in computational modeling and the abundance of publicly shared databases. The electrocardiogram (ECG) is the primary researched modality in this context, with applications in health monitoring, stress and affect estimation. Yet, most studies are limited by small-scale controlled data collection and over-parameterized architecture choices. We introduce WildECG, a pre-trained state-space model for representation learning from ECG signals. We train this model in a self-supervised manner with 275 000 10 s ECG recordings collected in the wild and evaluate it on a range of downstream tasks. The proposed model is a robust backbone for ECG analysis, providing competitive performance on most of the tasks considered, while demonstrating efficacy in low-resource regimes.

Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering

INTRODUCTION

Frontal and/or parietal atrophy has been reported during aging. To disentangle the heterogeneity previously observed, this study aimed to uncover different clusters of grey matter profiles and trajectories within cognitively unimpaired individuals.

METHODS

Structural magnetic resonance imaging (MRI) data of 307 Aβ-negative cognitively unimpaired individuals were modelled between ages 60-85 from three cohorts worldwide. We applied unsupervised clustering using a novel longitudinal Bayesian approach and characterized the clusters' cerebrovascular and cognitive profiles.

RESULTS

Four clusters were identified with different grey matter profiles and atrophy trajectories. Differences were mainly observed in frontal and parietal brain regions. These distinct frontoparietal grey matter profiles and longitudinal trajectories were differently associated with cerebrovascular burden and cognitive decline.

DISCUSSION

Our findings suggest a conciliation of the frontal and parietal theories of aging, uncovering coexisting frontoparietal GM patterns. This could have important future implications for better stratification and identification of at-risk individuals.

Reading books: The positive impact of print exposure on written word recognition

Regular print exposure is thought to benefit reading and language processes: those who read more have a larger vocabulary and better spelling and comprehension skills. Yet, there is little or no direct evidence that exposure to print facilitates reading. Here, we used an ecologically valid design to test the impact of print exposure on the early stages of reading in skilled adult readers. Participants read a novel at their own pace. Reading was followed by a lexical decision task, in which the positive trials were words that were exposed in the novel, and matched controls not exposed in the novel. If exposure during reading had a positive impact on subsequent word recognition, exposed words would be processed more efficiently than not-exposed words (exposure effect). This effect was obtained in three experiments. In addition, the effect was not modulated by the amount of exposure (1 vs. 3 occurrences in the text; Experiment 1), or the timing between reading and the exposure test (immediately after reading vs. on the following day; Experiment 3). However, the effect was present only in low-frequency words (Experiment 3). Interpretations of the exposure effect in terms of activation threshold and lexical quality are discussed.

A non-linear relationship between blood pressure and mild cognitive impairment in elderly individuals: A cohort study based on the Chinese longitudinal healthy longevity survey (CLHLS)

BACKGROUND

Hypertension is an established risk factor for mild cognitive impairment (MCI) in elderly individuals. Nevertheless, the impact of different levels of blood pressure on the progression of MCI remains uncertain. This study aims to investigate the non-linear relationship between blood pressure and MCI in the elderly and detect the critical blood pressure threshold, thus, improving blood pressure management for individuals at high risk of MCI.

METHODS

Data was obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) cohort. We chose normal cognitive elderly individuals who entered the cohort in 2014 for a 5-year follow-up to observe the progression of MCI. Subsequently, we utilized the Cox regression model to identify risk factors for MCI and conducted a Cox-based restricted cubic spline regression (RCS) model to examine the non-linear relationship between systolic blood pressure (SBP) and diastolic blood pressure (DBP) with MCI, determining the critical blood pressure threshold for MCI progression.

RESULTS

In the elderly population, female (HR = 1.489, 95% CI: 1.017-2.180), lacking of exercise in the past (HR = 1.714, 95% CI: 1.108-2.653), preferring animal fats (HR = 2.340, 95% CI: 1.348-4.061), increased age (HR = 1.061, 95% CI: 1.038-1.084), increased SBP (HR = 1.036, 95% CI: 1.024-1.048), and increased DBP (HR = 1.056, 95% CI: 1.031-1.081) were associated with MCI progression. After adjusting factors such as gender, exercise, preferred types of fats, and age, both SBP (P non-linear < 0.001) and DBP (P non-linear < 0.001) in elderly individuals exhibited a non-linear association with MCI. The risk of MCI rose when SBP exceeded 135 mmHg and DBP was in the range of 80-88 mmHg. However, when DBP exceeded 88 mmHg, there was a declining trend in MCI progression, although the HR remained above 1. The identified critical blood pressure management threshold for MCI was 135/80 mmHg.

CONCLUSION

In this study, we discovered that risk factors affecting the progression of MCI in elderly individuals comprise gender (female), preferring to use animal fat, lack of exercise in the past, increased age, increased SBP, and increased DBP. Additionally, a non-linear relationship between blood pressure levels and MCI progression was confirmed, with the critical blood pressure management threshold for MCI onset falling within the prehypertensive range.

Toward Explainable Affective Computing: A Review

Affective computing has an unprecedented potential to change the way humans interact with technology. While the last decades have witnessed vast progress in the field, multimodal affective computing systems are generally black box by design. As affective systems start to be deployed in real-world scenarios, such as education or healthcare, a shift of focus toward improved transparency and interpretability is needed. In this context, how do we explain the output of affective computing models? and how to do so without limiting predictive performance? In this article, we review affective computing work from an explainable AI (XAI) perspective, collecting and synthesizing relevant papers into three major XAI approaches: premodel (applied before training), in-model (applied during training), and postmodel (applied after training). We present and discuss the most fundamental challenges in the field, namely, how to relate explanations back to multimodal and time-dependent data, how to integrate context and inductive biases into explanations using mechanisms such as attention, generative modeling, or graph-based methods, and how to capture intramodal and cross-modal interactions in post hoc explanations. While explainable affective computing is still nascent, existing methods are promising, contributing not only toward improved transparency but, in many cases, surpassing state-of-the-art results. Based on these findings, we explore directions for future research and discuss the importance of data-driven XAI and explanation goals, and explainee needs definition, as well as causability or the extent to which a given method leads to human understanding.

Exploratory studies of the antidepressant effect of Cordyceps sinensis polysaccharide and its potential mechanism

Cordyceps sinensis, a traditionally prized medicinal fungus, contains polysaccharides as one of its main bioactive constituents, known for their significant immunomodulatory properties. In this study, we systematically investigated the composition and structure of Cordyceps sinensis polysaccharide, followed by an evaluation of its therapeutic effect on depression using a chronic restraint stress-induced depression model. The polysaccharide CSWP-2, extracted via hot water, precipitated with ethanol, and purified using DEAE-cellulose column chromatography from Cordyceps sinensis, is primarily composed of glucose, mannose, and galactose, with α-1,4-D-glucan as its major structural component. Behavioral tests, immunological profiling, metabolomics, and gut microbiota analyses indicated a notable ameliorative effect of CSWP-2 on depressive-like symptoms in mice. Furthermore, the action of CSWP-2 may be attributed to the modulation of the gut microbiome's abundance and its metabolic impacts, thereby transmitting signals to the host immune system and exerting immunomodulatory activity, ultimately contributing to its antidepressant effects.

The impact of social comparison on self-deception: An event-related potentials study

Self-deception refers to an individual holding inflated beliefs about their abilities, and it plays a crucial role in human behavior and decision-making. The present study employed event-related potentials (ERPs) technique to explore the neural responses to the impacts of social comparison direction and comparison gap on self-deceptive behavior. They were instructed to predict their performance in the forward-looking paradigm. Behavioral responses and neural reactions during the decision-making process were documented. The behavioral results indicated that, in contrast to the downward comparison condition, participants engaged in upward comparison exhibited more occurrences of self-deception. However, within the context of upward comparison, participants demonstrated a higher frequency of self-deception in the large gap condition compared with the small gap condition. The ERP results showed that induced self-deception under conditions with a large comparative gap between participants and their paired counterparts stimulated larger P300 and smaller N400 amplitude than under conditions with a small gap. However, when participants were in the upward comparison situation, the late positive potential (LPP) amplitude induced by self-deception behavior in the condition of a large comparison gap between participants and paired opponents was larger than that in the condition of a small comparison gap. These results indicated that individuals in the large gap group feel strong unfairness and negative emotions. More importantly, the self-deception induced by the large gap group in the upward comparison situation used fewer cognitive resources than the small gap condition, whereas the individuals in the downward comparison situation did not show the difference in cognitive resources.

Exploring LGBT2Q+ Intracategorical Factors in Mental Health Service Utilization: Differences in Gender Modalities, Sexual Orientations, and Ethnoracial Groups in Canada

LGBT2Q+ (lesbian, gay, bisexual, transgender, Two-Spirit, queer, plus) Canadians face minority stressors that lead to higher mental health inequalities such as worse self-reported mental health and increased risk of mental health issues when compared to their heterosexual/straight and cisgender counterparts. However, there are within-group (intracategorical) differences within a community as large as LGBT2Q+ peoples. Guided by the Andersen Model of Healthcare Utilization, we sought to explore intracategorical differences in LGBT2Q+ Canadian predisposing, enabling, and need factors in mental health service utilization within the past year. Using data from the 2020 LGBT2Q+ Health Survey (N = 1542), modified Poisson logistic regression found that more polysexual respondents and trans/gender-diverse respondents were more likely to have utilized mental health services within the past year than their gay, lesbian, and cis male counterparts. As well, compared to White respondents, Indigenous respondents were more likely to have utilized mental health services, while other racialized respondents were associated with less utilization. Backwards elimination of Andersen model of healthcare utilization factors predicting mental health service utilization retained two predisposing factors (ethnoracial groups and gender modality) and two need factors (self-reporting living with a mood disorder and self-reporting living with an anxiety disorder). Results suggest that polysexual, trans and gender-diverse, and racialized LGBT2Q+ peoples have an increased need for mental health services due to increased specific minority stressors that cisgender, White, monosexual peoples do not face. Implications for healthcare providers are discussed on how to improve service provision to LGBT2Q+ peoples.

Comparing embedded performance validity indicators within the WAIS-IV Letter-Number sequencing subtest to Reliable Digit Span among adults referred for evaluation of attention-deficit/hyperactivity disorder

Objectives: This study investigated the Wechsler Adult Intelligence Scale-Fourth Edition Letter-Number Sequencing (LNS) subtest as an embedded performance validity indicator among adults undergoing an attention-deficit/hyperactivity disorder (ADHD) evaluation, and its potential incremental value over Reliable Digit Span (RDS). Method: This cross-sectional study comprised 543 adults who underwent neuropsychological evaluation for ADHD. Patients were divided into valid (n = 480) and invalid (n = 63) groups based on multiple criterion performance validity tests. Results: LNS total raw scores, age-corrected scaled scores, and age- and education-corrected T-scores demonstrated excellent classification accuracy (area under the curve of .84, .83, and .82, respectively). The optimal cutoff for LNS raw score (≤16), age-corrected scaled score (≤7), and age- and education-corrected T-score (≤36) yielded .51 sensitivity and .94 specificity. Slightly lower sensitivity (.40) and higher specificity (.98) was associated with a more conservative T-score cutoff of ≤33. Multivariate models incorporating both LNS and RDS improved classification accuracy (area under the curve of .86), and LNS scores explained a significant but modest proportion of variance in validity status above and beyond RDS. Chaining LNS T-score of ≤33 with RDS cutoff of ≤7 increased sensitivity to .69 while maintaining ≥.90 specificity. Conclusions: Findings provide preliminary evidence for the criterion and construct validity of LNS as an embedded validity indicator in ADHD evaluations. Practitioners are encouraged to use LNS T-score cutoff of ≤33 or ≤36 to assess the validity of obtained test data. Employing either of these LNS cutoffs with RDS may enhance the detection of invalid performance.

Validation of a French questionnaire assessing knowledge of suicide

OBJECTIVES

The objective of this study was to develop and validate the Knowledge of Suicide Scale (KSS), elaborated to assess adherence to myths about suicide.

METHODS

The KSS is a self-questionnaire including 22 statements relating to myths about suicide for which the respondent is asked to rate his degree of adherence on a scale ranging from 0 ("strongly disagree") to 10 ("completely agree"). Using the script concordance test scoring method, the respondents' scores were compared with those of experts to obtain, for each item, a score between 0 (maximum deviation with the experts) and 1 (minimum deviation with the experts). One thousand and thirty-five individuals (222 psychiatric interns, 332 medical interns in the first semester excluding psychiatry and 481 journalism students) were included.

RESULTS

According to the exploratory factor analysis, the KSS is a two-dimensional scale: the first subscale includes 15 items and the second seven items. The tool showed excellent face validity, correct convergent and divergent validities (multi-method multi-feature analyzes), and good internal consistency (Cronbach's alpha coefficient between 0.66 and 0.83 for scales and subscales). The KSS is moderately and negatively correlated with the Stigma of Suicide Scale (r=-0.3). It significantly discriminates groups with different expected levels of knowledge regarding suicide (P<0.001).

CONCLUSIONS

The KSS demonstrated good psychometric properties to measure adherence to myths about suicide. This tool could be useful in assessing the effectiveness of suicide prevention literacy improvement programs.

The Mediating Effects of Education and Occupational Complexity Between Race and Longitudinal Change in Late Life Cognition in ACTIVE

This study examined educational and occupational inequality as two aspects of social determinants of health that might mediate the longitudinal relationship between racialization and late life cognitive level and change. Participants were 2371 individuals racialized as Black and White from the ACTIVE study who provided occupational data. Data were analyzed from baseline and five assessments over 10-years using structural equation modeling. Black/White race served as the predictor, occupational complexity (OC) and years of education as mediators, and cognitive (memory, reasoning, and speed of processing) intercept, linear slope, and quadratic slope as the dependent variables. Black/White race showed significant indirect associations through education and OC on level of performance in cognition, linear change in reasoning and memory, and quadratic change in reasoning. Education and OC accounted for 11-16% of the association between race and cognitive level and represent modifiable social determinants of health that are associated with disparities in cognitive aging.

Implementation of the TALK© clinical self-debriefing tool in operating theatres: a single-centre interventional study

BACKGROUND

Debriefing in operating theatre environments leads to benefits in mortality, efficiency, productivity, and safety culture; however, it is still not regularly performed. TALK© is a simple and widely applicable team self-debriefing method to collaboratively learn and improve.

METHODS

An interventional study introducing TALK© for voluntary clinical debriefing was carried out in operating theatre environments in a UK National Health Service hospital over 18 months. It explored compliance with the Five Steps to Safer Surgery and changes in behaviour in surgical teams regarding consideration and completion of debriefing.

RESULTS

Team briefing and compliance with the WHO surgical safety checklist were performed consistently (>95% and >98%, respectively) throughout the study, which included 460 surgical lists. Consideration of debriefing increased at all data collection periods after intervention, from 35.6% to 60.3-97.4% (P≤0.003). Performance of debriefing, which was 23.3% at baseline, reached 39% at 6 months (P=0.039). Team planning of actions for improvement during debriefing also increased (P<0.001). A decline in performance of debriefing and subsequent improvement actions was observed after 6 months, albeit rates were above baseline at 18 months. The most reported reason not to carry out a debriefing was 'lack of issues'. After implementation, nurses and allied healthcare professionals increased their contribution to initiating and leading debriefing. Reported barriers were <18% at baseline, and decreased after intervention.

CONCLUSIONS

A simple intervention introducing TALK© for voluntary debriefing in theatres prompted significant changes in team behaviour and sustained growth regarding consideration and performance of debriefing, especially in the first 6 months.

Exercise effects on brain health and learning from minutes to months: The brain EXTEND trial

Despite evidence that aerobic exercise benefits the aging brain, in particular the hippocampus and memory, controlled clinical trials have not comprehensively evaluated effects of aerobic exercise training on human memory in older adults. The central goal of this study was to determine chronic effects of moderate-to-vigorous intensity aerobic exercise on the hippocampus and memory in non-demented, inactive adults ages 55-80 years. We determine effects of aerobic exercise training with a 6-month randomized controlled trial (RCT) comparing 150 min/week of home-based, light intensity exercise with progressive moderate-to-vigorous intensity aerobic exercise. For the first time in a large trial, we examined temporal mechanisms by determining if individual differences in the rapid, immediate effects of moderate intensity exercise on hippocampal-cortical connectivity predict chronic training-related changes over months in connectivity and memory. We examined physiological mechanisms by testing the extent to which chronic training-related changes in cardiorespiratory fitness are a critical factor to memory benefits. The Exercise Effects on Brain Connectivity and Learning from Minutes to Months (Brain-EXTEND) trial is conceptually innovative with advanced measures of hippocampal-dependent learning and memory processes combined with novel capture of the physiological changes, genetic components, and molecular changes induced by aerobic exercise that change hippocampal-cortical connectivity. Given that hippocampal connectivity deteriorates with Alzheimer's and aerobic exercise may contribute to reduced risk of Alzheimer's, our results could lead to an understanding of the physiological mechanisms and moderators by which aerobic exercise reduces risk of this devastating and costly disease.

Modeling item-level variance of polysyllabic word reading in developing readers: Exploring semantically related child, word, and child-by-word predictors

Across word reading development, there are important and evolving relationships between oral and written semantic knowledge. Recent research has focused on these relationships, with accumulating evidence supporting the role of word knowledge and related word characteristics as important factors influencing polysyllabic word reading abilities. The purpose of this study was to investigate how semantic-related effects across child-level skills (e.g., general vocabulary knowledge), word-level properties (e.g., age of acquisition), child-by-word-level familiarity (e.g., item-level familiarity), and interactions between key child attributes and word characteristics (e.g., word reading skill by age of acquisition) contribute to polysyllabic word reading. Specifically, we emphasize the semantic contributions of word-level features to word reading development, which have been relatively underexplored in the literature. A sample of elementary school students oversampled for word reading difficulty (N = 92) in Grades 3 to 5 read a set of polysyllabic words (J = 45) and completed a battery of reading and language-related measures. Using cross-classified random-effects models and accounting for various control variables, semantic-related variables representing item-level familiarity; child-level set for variability; and word-level age of acquisition and number of morphemes were significant predictors in the main-effects model. A significant interaction between sight word efficiency and age of acquisition indicated higher probabilities of correctly reading polysyllabic words at lower levels of acquisition for better readers. Results indicate important semantic-related influences on polysyllabic word reading at the child, word, and child-by-word levels, suggesting meaningful relationships between knowledge of the orthographic form of a word and semantic knowledge in developing readers.

Momentary effects of life stressors on mindfulness and emotion regulation difficulties among adolescents exposed to chronic stressors

Adolescents faced with chronic stressors (e.g., financial instability, interpersonal violence) are at heightened risk for developing mental health problems, likely due in part to stressors that interfere with effective emotion regulation. Although mindfulness may help to act as a buffer against the deleterious effects of life stressors, a relatively untested assumption is that adolescents can maintain mindfulness during periods of stress. This paper explores this assumption by investigating the real-time, dynamic relationships among life stressors, mindfulness, and emotion regulation difficulties among adolescents exposed to chronic stressors. Eighty-one participants who were 10-18 years old (M = 14.33; SD = 2.20; 56% male; 57% Non-Hispanic White) completed ecological momentary assessments (EMA) three times a day for 7 days and contributed a total of 1186 EMA reports. Multilevel structural equation modelling revealed that the presence (vs. absence) of stressors was associated with lower momentary mindfulness and greater momentary emotion regulation difficulties concurrently and prospectively. Stressors with greater severity were also concurrently, but not prospectively, associated with lower momentary mindfulness and greater momentary emotion regulation difficulties. Findings highlight that exposure to life stressors may degrade momentary mindfulness and emotion regulation. Given that mindfulness and emotion regulation are closely associated with mental health, these results also demonstrate one way that stressors may contribute to health disparities at the micro-level. Going forward, it will be important to investigate methods of helping adolescents learn to maintain mindfulness and adaptive emotion regulation in the face of stressful events. This study was preregistered (NCT04927286).

Learned switch readiness via concurrent activation of task sets: Evidence from task specificity and memory load

Cognitive flexibility increases when switch demands increase. In task switching experiments, repeated pairing of flexibility-demanding situations with specific contexts leads subjects to become more prepared to adapt to changing task demands in those contexts. One form of such upregulated cognitive flexibility has been demonstrated with a list-wide switch probability (LWSP) effect, where switch costs are smaller in lists with frequent switches than in lists with rare switches. According to a recent proposal, the LWSP effect is supported by a concurrent activation mechanism whereby both task rules are kept available simultaneously in working memory. We conducted four experiments to test two key features in this concurrent activation account of LWSP effects. First, we asked whether the LWSP effects are limited to only the trained tasks, and second, we asked whether concurrent working memory load would reduce the LWSP effects. In Experiment 1, we replicated and extended previous findings that the LWSP manipulation modulates both performance (switch costs) and voluntary switch rates, indicating that context-driven increases in flexibility are generalizable so long as the task-sets remain the same. Results of Experiments 2 and 3 showed that novel tasks do not benefit from the concurrent activation of the two other tasks, suggesting that the LWSP effect is task specific. Experiment 4 showed that holding additional information in working memory reduces the LWSP effect. While these findings support the hypothesis of concurrent activation underlying the increased flexibility in the LWSP effect, caveats remain; additional research is needed to further test this account.

Remembering the truth or falsity of advertising claims: A preregistered model-based test of three competing theoretical accounts

Given the large amount of information that people process daily, it is important to understand memory for the truth and falsity of information. The most prominent theoretical models in this regard are the Cartesian model and the Spinozan model. The former assumes that both "true" and "false" tags may be added to the memory representation of encoded information; the latter assumes that only falsity is tagged. In the present work, we contrasted these two models with an expectation-violation model hypothesizing that truth or falsity tags are assigned when expectations about truth or falsity must be revised in light of new information. An interesting implication of the expectation-violation model is that a context with predominantly false information leads to the tagging of truth whereas a context with predominantly true information leads to the tagging of falsity. To test the three theoretical models against each other, veracity expectations were manipulated between participants by varying the base rates of allegedly true and false advertising claims. Memory for the veracity of these claims was assessed using a model-based analysis. To increase methodological rigor and transparency in the specification of the measurement model, we preregistered, a priori, the details of the model-based analysis test. Despite a large sample size (N = 208), memory for truth and falsity did not differ, regardless of the base rates of true and false claims. The results thus support the Cartesian model and provide evidence against the Spinozan model and the expectation-violation model.

Executive functioning profiles and mathematical and reading achievement in Grades 2, 6, and 10

Using a person-centered approach, we aimed to identify different executive functioning profiles to assess heterogeneity across individuals within the same school grade through latent profile analysis. A sample of 150 Grade 2 (7-8 years old), 150 Grade 6 (11-12 years old), and 150 Grade 10 (15-16 years old) children and adolescents were assessed on 11 different executive tasks representative of the three main executive functioning subcomponents (i.e., inhibition, cognitive flexibility, and working memory), fluid intelligence, processing speed, problem-solving, and reading comprehension. Three different executive functioning profiles of different patterns of interactions based on inhibition, cognitive flexibility, and working memory within and between grades were identified. Moreover, these profiles were differentially related to reading comprehension and mathematical achievement. Second, as expected, we did not find these profiles to be associated with sociodemographic variables such as chronological age or sex. Still, fluid intelligence and processing speed were differentially related to the different profiles at each grade. We also found that the executive functioning profiles interacted with each cognitive skill (i.e., fluid intelligence and processing speed) in predicting reading comprehension and math achievement. These findings provide valuable insights for developing preventive and intervention strategies in education.

Integrating insights from implementation science and behavioral economics to strengthen suicide screening strategies for pediatric populations

Suicide is a leading cause of death for young people globally. Professional organizations such as the American Academy of Pediatrics (AAP) recommend suicide screening for every young person at every healthcare contact and these guidelines are now being implemented across the US. To optimize deployment of these guidelines, we draw on insights from two parallel fields, implementation science - or the study of how to support clinicians in providing evidence-based care within organizational constraints - and behavioral economics, which centers human decision-making. In this brief review, we offer potential barriers to suicide screening and strategies to address barriers drawing on these two literatures, illustrating how best to integrate insights from these fields for maximal impact.

The Development and Validation of a Measure of Mental Health, Help-Seeking Beliefs in Arabic-Speaking Refugees

Despite reporting elevated rates of posttraumatic stress disorder (PTSD), refugees are less likely than other groups to seek psychological treatment. Relatively little attention has been paid to the role of negative help-seeking beliefs in influencing treatment uptake. The current study sought to develop and psychometrically validate a novel measure indexing negative help-seeking beliefs for refugees (Help-Seeking Beliefs Scale [HSBS]). In this study, 262 Arabic-speaking refugee participants completed an online survey consisting of the HSBS along with measures indexing similar constructs (self-stigma of PTSD and help-seeking, perceived stigma, negative help-seeking attitudes, and help-seeking intentions). Factor analysis revealed a three-factor structure aligning with key themes identified in the literature: (a) Fear of Negative Consequences, (b) Inappropriateness, and (c) Perceived Necessity. The scale demonstrated excellent internal consistency, convergent validity, and predicted reduced help-seeking intentions. Results support the utility of a novel measure capturing a prominent help-seeking barrier in a population with high psychopathology and low treatment uptake.

A Tablet-Based Application to Enhance Social Connectedness for Individuals With a Cognitive Impairment: Results From the PRISM-CI Pilot Study

Social engagement is fundamental to successful aging and linked to better emotional, physical, and cognitive health. Maintaining social engagement is challenging for many older adults but especially for those with a cognitive impairment (CI). Information and communication technologies (ICT) can provide enhanced opportunities for social and cognitive engagement for older adults with a CI via increased information, education, and social connectivity access. This study used a pre-test post-test design to evaluate the feasibility, acceptability, and preliminary efficacy of the PRISM-CI software system, a tablet-based application designed to enhance access to resources, information, and social engagement, in 52 individuals with a CI between the ages of 65-88 years who had access to PRISM-CI for five months. Findings show that social isolation, loneliness, and depressive symptoms significantly decreased, and mobile device proficiency significantly increased, from baseline to follow-up. Results highlight ICTs potential to foster social engagement among older adults with a CI.

Differential associations of physical job demands with cognitive impairment in Korean workers aged 45 and older: a 14-year longitudinal study using the Korean Longitudinal Study of Aging (KLoSA)

OBJECTIVES

To investigate the association between subelements of physical job demands and cognitive impairment risk in middle-aged and older workers in Korea.

DESIGN

Longitudinal study using eight waves (2006-2020) of the Korean Longitudinal Study of Aging.

SETTING

Nationally representative sample of the Korean population aged 45 years and older.

PARTICIPANTS

2170 workers aged 45 and older at baseline.

PRIMARY OUTCOME MEASURES

Cognitive function was evaluated using the Korean version of the Mini-Mental State Examination and cognitive impairment was defined as a score below 24.

RESULTS

High physical strength demands were inversely associated with cognitive impairment (OR 0.31, 95% CI 0.14 to 0.68 for 'always' vs 'never' category). Conversely, frequent heavy lifting (OR 2.67, 95% CI 1.36 to 5.26) and bending, kneeling or squatting (OR 1.69, 95% CI 0.82 to 3.47) tasks were associated with increased impairment risk. Dose-response relationships were observed between all physical job demands and cognitive impairment, persisting among those with lower education but not among those with higher education.

CONCLUSIONS

Different types of physical job demands have varying relationships with cognitive impairment in middle-aged and older workers. Tasks requiring high physical strength may protect against cognitive impairment while tasks involving heavy lifting and bending, kneeling or squatting may increase the risk. These findings highlight the need for tailored interventions that consider the type of physical job demands and workers' educational levels to mitigate cognitive impairment risks. Further research is needed to explore the underlying mechanisms and validate these findings.