Analysis of the current status and associated risk factors of cognitive function in Tibetan hypertensive patients at various altitudes

OBJECTIVE

This study aims to explore the current cognitive status and identify risk factors associated with cognitive function in Tibetan hypertensive patients living at various altitudes.

METHODS

The Simple Mental Status Scale (MMSE) was used to evaluate the cognitive function of 611 Tibetan hypertensive patients at various altitudes in Gannan Tibetan Autonomous Prefecture. Afterward, we conducted an analysis to identify the factors influencing their cognitive function.

RESULTS

The study found that the prevalence of cognitive dysfunction was 22.3%, with a higher incidence at high altitude (group D 29.0%) compared to low altitude (group A 16.0%). The study conducted a binary logistic regression analysis to identify the risk factors for cognitive dysfunction. The analysis revealed that altitude, age, body mass index, marital status, education, income level, and blood pressure control level were all significant risk factors. After controlling for age, body mass index, marital status, educational level, income level, and blood pressure control level, the risk of developing cognitive dysfunction was 2.773 times higher (p < .05) for individuals in group C at high altitude and 2.381 times higher (p < .05) for individuals in group D at high altitude compared to those in group A at low altitude.

CONCLUSIONS

Altitude plays a role in the development of cognitive dysfunction in hypertensive patients. Tibetan hypertensive patients living at high altitudes may be at a higher risk of cognitive dysfunction compared to those living at lower altitudes. Therefore, interventions should be targeted to prevent or mitigate potential cognitive impairment.

Misinformation and COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: Do demographic variables matter?

Although COVID-19 vaccination has been widely considered as an important remedy to confront COVID-19, people remain hesitant to take it. The objective of this study was to assess the moderation effects of demographic characteristics on the relationship between forms of misinformation and COVID-19 vaccine uptake hesitancy among frontline workers in Dar es Salaam and Dodoma, Tanzania. Using a sample of 200 respondents, it assessed the differences in ratings on misinformation regarding COVID-19 vaccine based on respondents' demographics. The study used a Five-point Likert scale questionnaire distributed through snowball sampling to frontline workers from Dar es Salaam and Dodoma regions. Data was analyzed using binary logistic regression. It was found that the forms of misinformation revealed were manipulated imposters, satire, fabricated contents and false contents with their connection, which they influenced COVID-19 hesitancy significantly. With exception of age, that significantly moderated hesitancy, this study uncovers that, sex and education level moderated insignificantly in predicting those who are misinformed; misinformed individuals are not any less educated or not based on one's sex, different than individuals who are informed. The study informs policy makers on devising appropriate strategies to promote COVID-19 vaccination uptake among the different contextual demographic variables. Promotion of information, media and health literacy to the general public should be considered to deter spreading of vaccine-related misinformation.

How to design effective educational videos for teaching evidence-based medicine to undergraduate learners - systematic review with complementing qualitative research to develop a practicable guide

BACKGROUND

eLearning can be an effective tool to achieve learning objectives. It facilitates asynchronous distance learning, increasing flexibility for learners and instructors. In this context, the high educational value of videos provides an invaluable primary component for longitudinal digital curricula, especially for maintaining knowledge on otherwise rarely taught subjects. Although literature concerning eLearning evaluation exists, research comprehensively describing how to design effective educational videos is lacking. In particular, studies on the requirements and design goals of educational videos need to be complemented by qualitative research using grounded theory methodology.

METHODS

Due to the paucity of randomized controlled trials in this area, there is an urgent need to generate recommendations based on a broader fundament than a literature search alone. Thus, the authors have employed grounded theory as a guiding framework, augmented by Mayring's qualitative content analysis and commonly used standards. An adaptive approach was conducted based on a literature search and qualitative semi-structured interviews. Drawing on these results, the authors elaborated a guide for creating effective educational videos.

RESULTS

The authors identified 40 effective or presumedly effective factors fostering the success of video-based eLearning in teaching evidence-based medicine, providing a ready-to-use checklist. The information collected via the interviews supported and enriched much of the advice found in the literature.

DISCUSSION

To the authors' knowledge, this type of comprehensive guide for video-based eLearning needs has not previously been published. The interviews considerably contributed to the results. Due to the grounded theory-based approach, in particular, consensus was achieved without the presence of a formal expert panel. Although the guide was created with a focus on teaching evidence-based medicine, due to the general study selection process and research approach, the recommendations are applicable to a wide range of subjects in medical education where the teaching aim is to impart conceptual knowledge.

Cross-sectional and longitudinal associations between late-life depressive symptoms and cognitive deficits: 20-year follow-up of the Kuakini Honolulu-Asia aging study

OBJECTIVE

To examine depressed affect, somatic complaints, and positive affect as longitudinal predictors of fluid, crystallized and global cognitive performance in the Kuakini Honolulu-Asia Aging Study (HAAS), a large prospective cohort study of Japanese-American men.

METHODS

We assessed 3,088 dementia-free Kuakini-HAAS participants aged 71-93 (77.1 ± 4.2) years at baseline (1991-1993). Depressive symptoms were evaluated by the Center for Epidemiologic Studies Depression (CES-D) Scale. Baseline CES-D depression subscales (depressed and positive affects; somatic complaints) were computed. The Cognitive Abilities Screening Instrument (CASI) measured cognitive performance on a 100-point scale; fluid and crystallized cognitive abilities were derived from CASI factor analysis. Cognition was also evaluated at 4 follow-up examinations over a 20-year period. Multiple regression assessed baseline CES-D subscales as predictors of cognitive change. The baseline covariates analyzed were CASI, age, education, prevalent stroke, APOE ε4 presence, and the longevity-associated FOXO3 genotype.

RESULTS

Cross-sectionally, baseline CES-D subscales were related to cognitive measures; e.g., higher depressed affect was associated with lower crystallized ability (β = -0.058, p ≤ 0.01), and somatic complaints were linked to poorer fluid ability (β = -0.045, p ≤ 0.05) and to worse global cognitive function as measured by total CASI score (β = -0.038, p ≤ 0.05). However, depression subscales did not significantly or consistently predict fluid ability, crystallized ability, or global cognitive performance over time.

CONCLUSION

Psychological and physical well-being were associated with contemporaneous but not subsequent cognitive functioning. Assessment of depressive symptoms may identify individuals who are likely to benefit from interventions to improve mood and somatic health and thereby maintain or enhance cognition.

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning

Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at an early stage after initial onset. This paper introduces a new publicly available dataset: EM-COGLOAD (available at https://osf.io/zjtdq/, DOI: 10.17605/OSF.IO/ZJTDQ). A dual-task paradigm was used to create effects of declined cognitive performance in 75 healthy adults as they carried out visual tracking tasks. Their eye movement was recorded, and time series classification of the extracted eye movement traces was explored using a range of deep learning techniques. The results of this showed that convolutional neural networks were able to achieve an accuracy of 87.5% when distinguishing between eye movement under low and high cognitive load, and 76% when distinguishing between the oldest and youngest age groups.

Effects of computer-based cognitive training vs. paper-and-pencil-based training on the cognitive development of typically developing children: Protocol for a randomized controlled trial

The research aims to evaluate the effectiveness of a computerized cognitive training program in improving executive functions and attention in elementary school children, compared to a traditional paper-and-pencil intervention. The study has been formulated as a randomized controlled trial with pre- and post-intervention measures. For the study, third-grade children with typical development aged between 7 and 9 years will be recruited. Participants will be randomly assigned to the two study arms (control and experimental). The experimental group will participate in a computerized intervention using the NeuronUp cognitive stimulation platform for 8 weeks, twice a week. Sessions will be conducted using computers in the computer lab of the participating educational institution. The active control group will engage in paper-and-pencil cognitive training for the same duration and intensity as the experimental group. Evaluators will be blinded to the assignment, and participants will be blinded to the target intervention. Hypothesis testing will be conducted through ANOVA-MR, and logistic regressions will be implemented to assess the effect of socioeconomic variables on children's performance. These results are expected to contribute to the discussion on the opportunities and benefits offered by cognitive training programs on the cognitive development of typically developing children.

Sensory impairments and the risk of cognitive decline and dementia across sex, age, and regions: Longitudinal insights from Europe

BACKGROUND

In aging populations, understanding predictors of cognitive decline is essential. We aimed to investigate the risk of cognitive decline and dementia by sensory impairments across sex, age, and European regions, and examined the mediating role of activities of daily living (ADL), physical activity, and depressive symptoms.

METHODS

A cohort study of 72,287 Europeans aged 50+ participating in at least two waves of the Survey of Health, Ageing and Retirement in Europe. We employed mixed-effects and time-to-event models, incorporating sex interactions, and adjusting for socio-demographic factors and medical history.

RESULTS

Compared to individuals with good vision and hearing, lower cognitive function was found for people with vision impairment (VI) (males: coef. -0.70, 95 % CI -0.95; -0.46; females: coef. -1.12, 95 % CI -1.33; -0.92), hearing impairment (HI) (males: coef. -0.64, 95 % CI -0.93; -0.35; females: coef. -0.96, 95 % CI -1.27; -0.65) and dual sensory impairment (DSI, i.e. VI and HI) (males: coef. -1.81, 95 % CI -2.16; -1.46; females: coef. -2.71, 95 % CI -3.05; -2.38), particularly among females. Moreover, higher dementia risk was observed among participants with VI (hazard ratio (HR) 1.29, 95 % CI 1.17; 1.43), HI (HR 1.18, 95 % CI 1.05; 1.34), and DSI (HR 1.62, 95 % CI 1.45; 1.81) with no sex-interactions. Findings were overall consistent across age and European regions.

CONCLUSION

The results suggest the necessity of preventing sensory impairments to maintain good cognitive function. Mitigating depressive symptoms, ADL limitations, and physical inactivity could potentially reduce a significant portion of the total effect of sensory impairments on cognitive decline.

The search for the missing link between health misinformation & health disparities

Relative to the rapid increase in available health information, little has been published on the differential impact misinformation has on the health of communities. Observations during the height of the COVID-19 pandemic indicated there were communities that made decisions that negatively impacted health outcomes beyond expectations; we propose that health misinformation was a contributor to poor health outcomes. Health misinformation exposure varies across communities and preliminary research suggests that some communities are more vulnerable to the impact of health misinformation than others. However, few studies have evaluated the connection between health misinformation and healthcare disparities. In this paper, we (a) review the current literature on misinformation and its impact on health disparities, (b) expand on prior epidemiological models to explain the communal spread of misinformation and the link to disparate health outcomes, (c) identify gaps in knowledge about communal misinformation spread (d) review promising interventions to halt the adverse impact of misinformation.

A comprehensive analysis of well-being frameworks applied in Australia and their suitability for Indigenous peoples

PURPOSE

Well-being is a complex, multi-dimensional, dynamic, and evolving concept, covering social, economic, health, cultural and spiritual dimensions of human living, and often used synonymously with happiness, life satisfaction, prosperity, and quality of life. We review the existing key wellbeing frameworks applied in Australia both for the wider public and Indigenous peoples. The aim is to provide a comprehensive overview of various applied frameworks, along with a critical analysis of domains or dimensions comprising those frameworks, and to analyse the role of nature in those frameworks.

METHODOLOGY

We conducted a critical analysis of the main frameworks applied in Australia to date to measure the well-being of the mainstream (mainly non-Indigenous) and Indigenous populations. This study is particularly timely given the Australian Government's interest in revising the well-being frameworks as mentioned in the Government "Measuring What Matters" statement.

RESULTS

The existing well-being frameworks in Australia either overlook or hardly consider the role of nature and its services which are important to support human well-being. Likewise, for Indigenous peoples "Country" (Indigenous clan land) is vital for their well-being as their living is imbued with "Country". The role of nature/"Country" needs to be considered in revising the well-being frameworks, indicators and measures to inform and develop appropriate policies and programs in Australia.

CONCLUSION

To develop appropriate welfare policies and programs for achieving socio-economic and other wellbeing outcomes, it is essential to evolve and conceptualize wellbeing frameworks (and related indicators and measures) in line with people's contemporary values, particularly considering the role of nature and its services.

Risk and protective factors for cognitive decline in Brazilian lower educated older adults: A 15-year follow-up study using group-based trajectory modelling

BACKGROUND

Patterns of cognitive change and modifiable factors for cognitive decline versus stable cognitive trajectories have rarely been described in lower-educated older adults.

OBJECTIVES

We aimed to identify long-term trajectories of cognitive functioning and possible factors associated with cognitive decline.

DESIGN AND PARTICIPANTS

We used data from 1,042 adults aged ≥ 60 participating in the Health, Welfare and Aging Study (SABE), São Paulo, Brazil, without cognitive impairment at baseline. Data were collected across four waves (2000-2015). Group-based trajectory modelling was used to identify cognitive trajectories. Associations with socioeconomic variables, childhood background, lifestyle, and cardiovascular risk factors were explored using weighted multinomial logistic regressions.

MEASUREMENTS

The abbreviated Mini-Mental State Examination was used to measure cognition.

RESULTS

Three cognitive trajectories were identified: stable (n= 754, 68.6%), mild-decline (n= 183, 20.8%), and strong-decline (n= 105, 10.7%). At baseline, respondents in the strong-decline group were more likely to be older than those with stable and mild-decline trajectories. Furthermore, participants in both the mild and strong-decline groups were more likely to have no schooling, be divorced/separated, receive less than 4 monthly wages, and be underweight (BMI < 18.5) compared to the stable group. Finally, the mild-decline group was more likely to have lived in rural areas during childhood than participants located in a stable trajectory.

CONCLUSIONS

Our findings suggest that interventions to reduce cognitive decline for low-educated older adults might include strategies addressing inequalities and improving modifiable risk factor burden.

Development of a Scale to Measure Planned Behavior in Inclusive Science Communication: Validity Evidence in Undergraduate STEM Students

Science communication has historically been inequitable, with certain voices and perspectives holding the power and dominant ways of knowing being promoted over others. Recently, there has been a push toward inclusive science communication, which values diverse perspectives and ways of knowing in collaborative conversations to solve complex socioscientific issues. However, there is a lack of both trainings in inclusive science communication for undergraduate science, technology, engineering, and mathematics (STEM) students as well as established ways to evaluate the efficacy of these trainings. To address this need, we designed a new multifactorial survey based on the Theory of Planned Behavior to assess students' attitudes/norms, self-efficacy, behavioral intents, and behaviors in inclusive science communication, which we termed the Planned Behaviors in Inclusive Science Communication (PB-ISC) Scale. We utilized expert review, exploratory factor analysis, confirmatory factor analysis, cognitive interviews, and quantitative measures to gather evidence of validity supporting the proposed use of the final 4-factor, 26-item survey. This survey can be used as a tool by science communication educators and researchers to assess students' planned behavior in inclusive science communication in response to trainings or experiences in science communication or related topics like socioscientific issues, civic engagement, and citizen science.

Socio-cognitive mindfulness predicts memory complaint and cognitive performance of older adults with different years of education

BACKGROUND

Even though the effect of education on cognitive performance has been widely reported, the relationship between socio-cognitive mindfulness, cognitive performance, and memory complaint among the elderly with heterogeneous educational levels has not yet been investigated.

AIM

This study aimed to analyze the potential relationship between cognitive performance, memory complaint, and socio-cognitive mindfulness in a sample of healthy older adults with different years of education.

METHODS

In this quantitative, cross-sectional, observational, and analytical study, participants (n = 68) were assessed with a sociodemographic questionnaire, cognitive performance test (ACE-III), levels of socio-cognitive mindfulness (LSM-21), and memory complaint (Memory Complaint Scale). Descriptive statistics, as well as Pearson's correlation, and linear regression analysis were performed, and significance was assumed if p < .05.

RESULTS

Years of education correlated with cognitive performance and socio-cognitive mindfulness, but not with memory complaint. Socio-cognitive mindfulness had a positive correlation with cognitive performance and a negative correlation with memory complaint. Also, socio-cognitive mindfulness predicted cognitive performance and memory complaint both in bivariate analysis and when controlling for years of education.

CONCLUSION

Our findings suggested that older adults with higher levels of socio-cognitive mindfulness showed better cognitive performance and less memory complaint.

Deliberate ignorance-a barrier for information interventions targeting reduced meat consumption?

OBJECTIVE

Despite abundant information about negative consequences of consuming meat, consumption in many Western countries is many times higher than recommended. One possible explanation for this discrepancy is that people consciously decide to ignore such information-a phenomenon called deliberate ignorance. We investigated this potential barrier for information interventions aiming to reduce meat consumption.

METHODS

In three studies, a total of 1133 participants had the opportunity to see 18 information chunks on negative consequences of meat consumption or to ignore part of the information. Deliberate ignorance was measured as the number of ignored information chunks. We assessed potential predictors and outcomes of deliberate ignorance. Interventions to reduce deliberate ignorance (i.e., self-affirmation, contemplation, and self-efficacy) were experimentally tested.

RESULTS

The more information participants ignored, the less they changed their intention to reduce their meat consumption (r = -.124). This effect was partially explained by cognitive dissonance induced by the presented information. While neither self-affirmation nor contemplation exercises reduced deliberate ignorance, self-efficacy exercises did.

CONCLUSION

Deliberate ignorance is a potential barrier for information interventions aiming to reduce meat consumption and needs to be considered in future interventions and research. Self-efficacy exercises are a promising approach to reduce deliberate ignorance and should be further explored.

Different neural correlates of deception: Crafting high and low creative scams

Deception is a complex social behavior that manifests in various forms, including scams. To successfully deceive victims, liars have to continually devise novel scams. This ability to create novel scams represents one kind of malevolent creativity, referred to as lying. This study aimed to explore different neural substrates involved in the generation of high and low creative scams. A total of 40 participants were required to design several creative scams, and their cortical activity was recorded by functional near-infrared spectroscopy. The results revealed that the right frontopolar cortex (FPC) was significantly active in scam generation. This region associated with theory of mind may be a key region for creating novel and complex scams. Moreover, creativity-related regions were positively involved in creative scams, while morality-related areas showed negative involvement. This suggests that individuals might attempt to use malevolent creativity while simultaneously minimizing the influence of moral considerations. The right FPC exhibited increased coupling with the right precentral gyrus during the design of high-harmfulness scams, suggesting a diminished control over immoral thoughts in the generation of harmful scams. Additionally, the perception of the victim's emotions (related to right pre-motor cortex) might diminish the quality of highly original scams. Furthermore, an efficient and cohesive neural coupling state appears to be a key factor in generating high-creativity scams. These findings suggest that the right FPC was crucial in scam creation, highlighting a neural basis for balancing malevolent creativity against moral considerations in high-creativity deception.

Towards an ecologically valid naturalistic cognitive neuroscience of memory and event cognition

The landscape of human memory and event cognition research has witnessed a transformative journey toward the use of naturalistic contexts and tasks. In this review, we track this progression from abrupt, artificial stimuli used in extensively controlled laboratory experiments to more naturalistic tasks and stimuli that present a more faithful representation of the real world. We argue that in order to improve ecological validity, naturalistic study designs must consider the complexity of the cognitive phenomenon being studied. Then, we review the current state of "naturalistic" event segmentation studies and critically assess frequently employed movie stimuli. We evaluate recently developed tools like lifelogging and other extended reality technologies to help address the challenges we identified with existing naturalistic approaches. We conclude by offering some guidelines that can be used to design ecologically valid cognitive neuroscience studies of memory and event cognition.

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.

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.

Differences in misinformation sharing can lead to politically asymmetric sanctions

In response to intense pressure, technology companies have enacted policies to combat misinformation1-4. The enforcement of these policies has, however, led to technology companies being regularly accused of political bias5-7. We argue that differential sharing of misinformation by people identifying with different political groups8-15 could lead to political asymmetries in enforcement, even by unbiased policies. We first analysed 9,000 politically active Twitter users during the US 2020 presidential election. Although users estimated to be pro-Trump/conservative were indeed substantially more likely to be suspended than those estimated to be pro-Biden/liberal, users who were pro-Trump/conservative also shared far more links to various sets of low-quality news sites-even when news quality was determined by politically balanced groups of laypeople, or groups of only Republican laypeople-and had higher estimated likelihoods of being bots. We find similar associations between stated or inferred conservatism and low-quality news sharing (on the basis of both expert and politically balanced layperson ratings) in 7 other datasets of sharing from Twitter, Facebook and survey experiments, spanning 2016 to 2023 and including data from 16 different countries. Thus, even under politically neutral anti-misinformation policies, political asymmetries in enforcement should be expected. Political imbalance in enforcement need not imply bias on the part of social media companies implementing anti-misinformation policies.

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.