Yoxas/statistical_literacy huggingface dataset:
Cognitive impairment and alexithymia are commonly associated with schizophrenia and alcohol use disorder independently. Both can lead to poor prognosis and recovery. In patients with dual diagnosis, this association can be more prevalent and severe. A total of 75 participants were grouped into two (35 each): Group A, a Schizophrenia group and Group B with comorbid alcohol use. Sociodemographic factors, clinical profile, cognitive functions, and alexithymia were compared between the two groups using semi-structured pro forma, Positive and Negative Syndrome Scale, Alcohol Use Disorders Identification Test (AUDIT), Montreal Cognitive Assessment (MoCA) Scale, Toronto Alexithymia Scale (TAS-20) (subcategorized into three subscales (1) "Difficulty describing feelings" (DDF), (2) "Difficulty identifying feeling" (DIF), and (3) "Externally-Oriented Thinking" and Brief Psychiatric Rating Scale. Statistical analysis was performed using the Chi-square tests and t-tests as applicable. P < 0.05 was considered statistically significant. The mean age of the participants was 33.61 (standard deviation [SD]-8.11), mean duration of schizophrenia was 70.8 months (SD-47.5) and mean duration of alcohol consumption was 9.10 years (SD-7.7). MoCA score was significantly lower (mean-21.80, SD-2.98) and TAS total score was significantly higher in Group B (Mean-67.31, SD-8.10). DDF (Mean-19.28, SD-4.02) and DIF scores (Mean-22.86, SD-4.66) were significantly higher in alcohol group compared to nonalcohol group. Furthermore, MoCA score was significantly impaired and TAS total, DDF and DIF scores were significantly higher in participants with AUDIT score >8 (P < 0.05). Lower score on MoCA correlated with the higher score of alexithymia. Cognitive dysfunction and alexithymia were significantly more in patients of schizophrenia with comorbid alcohol use and positively correlated with the severity of alcohol use disorder.
Cognitive impairment as a complication in post-stroke patients has high prevalence throughout the world. However, few studies have focused on the older adult stroke survivors and explored their prevalence and factors of post-stroke cognitive impairment (PSCI). The study aims to evaluate the cognitive status of stroke patients in Hunan Province, China and to determine the potential risk factors associated with PSCI in order to identify the older adult population in advance and promote healthy aging. This cross-sectional study was carried out from August to December, 2021. A total of 520 stroke survivors from 6 tertiary hospitals were randomly selected. The information was collected using the general questionnaire, the Barthel Index Rating Scale and the Mini-mental State Examination (MMSE). Analysis was based on descriptive statistics, chi-square test and the significant variables were included in multivariate logistic regression. The reporting of this cross-sectional study followed the STROBE checklist. A total of 195 older adults (40.37%) were screened for cognitive impairment based on the results of the MMSE score. Patients in the PSCI group had a higher proportion of individuals aged 70 or older (35.90% vs. 24.65%, p<0.001). The potential risk factors for post-stroke cognitive impairment in older adults were being aged between 70 and 79 years old (OR = 3.973, 95% CI, 2.346-6.729, p<0.001), being aged 80 years or older (OR = 3.590, 95% CI, 1.373-9.387, p = 0.009), having a low level of education (OR = 9.183, 95% CI, 5.341-15.789, p<0.001), having hypertension (OR = 1.756, 95% CI, 1.121-2.753, p = 0.014), and having a dominant hemisphere lesion (OR = 1.880, 95% CI, 1.193-2.962, p<0.001). The prevalence of PSCI was high among Chinese older adults, particularly those aged 80 years or older. The factors identified in our study could assist in the early identification of older adults at risk, develop personalized management plans, and promote healthy aging.
Cognitive impairment is a widespread feature of schizophrenia, affecting nearly 80 % of patients. Prior research has linked the anticholinergic burden of psychiatric medications to these cognitive deficits. However, the impact of the anticholinergic burden from medications for physical morbidity remains underexplored. This study aimed to evaluate the anticholinergic burden of psychiatric and physical medications in patients with schizophrenia and assess its impact on cognitive function. A total of 178 patients with schizophrenia were recruited. The assessments included an ad hoc questionnaire for collecting demographic and clinical data. Anticholinergic burden was evaluated using the cumulative Drug Burden Index (cDBI) for each participant, and cognitive function was assessed using MATRICS. Psychopathology was measured using the PANSS, CDSS, CAINS, and the CGI-S. Statistical analysis included Student's t-tests, ANOVA, Pearson correlations, and multiple linear regressions. The average cDBI was 1.3 (SD = 0.9). The model developed explained 40.80 % of the variance. The variable with the greatest weight was the cDBI (B = -11.148, p = 0.010). Negative-expression (B = -2.740, p = 0.011) and negative-experiential (B = -1.175, p = 0.030) symptoms were also associated with lower global cognitive score. However, more years of education (B = 5.140, p < 0.001) and cigarettes per day (B = 1.331, p < 0.001) predicted a better global cognitive score. This study identified specific predictors of global cognition in schizophrenia, with anticholinergic burden emerging as the strongest factor. Our findings underscore the importance of considering the anticholinergic burden of treatments, in addition to negative symptoms, when designing interventions to optimize or maintain cognitive function in patients with schizophrenia.
Cognitive impairment is common in multiple sclerosis (MS), occurring at all stages of the disease, even at the earliest, and can be a major source of disability, social impairment, and impoverished quality of life. Cognitive dysfunction is mainly focused on working memory, conceptual reasoning, verbal fluency, speed of information processing, attention and executive function. Measures of information-processing speed appear to be the most robust and sensitive markers of cognitive impairment in MS patients. Cognitive testing in MS patients is complex and cognitive screening tests are time- and cost-saving test instruments. A comprehensive and sensitive cognitive test procedure should be administered to detect cognitive dysfunction, and recent studies demonstrate that single, predominantly speed-related cognitive tests may be superior to extensive and time-consuming test batteries in screening cognitive decline. Additional clinical factors, including disease course, fatigue, and affective disturbance, can impact the degree of MS-related cognitive impairment. Despite weak correlation with disease duration and physical disability status, the degree of cognitive impairment in MS has been related to the extent of topographically specific neuronal tissue damage and loss. Numerous studies have applied conventional and quantitative magnetic resonance imaging (MRI) techniques to correlate the profile and degree of cognitive impairment with various MRI-detectable abnormalities. The burden of MRI-visible lesions does not fully account for the degree of MS-related cognitive impairment. Nonconventional MRI findings suggest the extent of subtle tissue damage in normal-appearing white and grey matter to correlate best with the severity of cognitive impairment in MS patients. Structural MRI approaches have recently been extended by functional MRI studies scrutinizing the brain's ability for adaptive functional reorganization in the presence of widespread tissue damage. Cognitive impairment in MS seems to be not simply the result of tissue destruction, but also a balance between tissue destruction, tissue repair, and adaptive functional reorganization. These findings highlight the need to screen for cognitive deficits in MS patients to conduct potential cognitive rehabilitation intervention.
Cognitive impairment is common in neurological presentations of Wilson's disease (WD). Various domains can be affected, and subclinical deficits have been reported in patients with hepatic presentations. Associations with imaging abnormalities have not been systematically tested. The aim was to determine the neuroanatomical basis for cognitive deficits in WD. We performed a 16-item neuropsychological test battery and magnetic resonance brain imaging in 40 patients with WD. The scores for each test were compared between patients with neurological and hepatic presentations and with normative data. Associations with Unified Wilson's Disease Rating Scale neurological examination subscores were examined. Quantitative, whole-brain, multimodal imaging analyses were used to identify associations with neuroimaging abnormalities in chronically treated stable patients. Abstract reasoning, executive function, processing speed, calculation, and visuospatial function scores were lower in patients with neurological presentations than in those with hepatic presentations and correlated with neurological examination subscores. Deficits in abstract reasoning and phonemic fluency were associated with lower putamen volumes even after controlling for neurological severity. About half of patients with hepatic presentations had poor performance in memory for faces, cognitive flexibility, or associative learning relative to normative data. These deficits were associated with widespread cortical atrophy and/or white matter diffusion abnormalities. Subtle cognitive deficits in patients with seemingly hepatic presentations represent a distinct neurological phenotype associated with diffuse cortical and white matter pathology. This may precede the classical neurological phenotype characterized by movement disorders and executive dysfunction and be associated with basal ganglia damage. A binary phenotypic classification for WD may no longer be appropriate. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Cognitive neuroscience has long sought to understand the biological foundations of human intelligence. Decades of research have revealed that general intelligence is correlated with two brain-based biomarkers: the concentration of the brain biochemical N-acetyl aspartate (NAA) measured by proton magnetic resonance spectroscopy (MRS) and total brain volume measured using structural MR imaging (MRI). However, the relative contribution of these biomarkers in predicting performance on core facets of human intelligence remains to be well characterized. In the present study, we sought to elucidate the role of NAA and brain volume in predicting fluid intelligence (Gf). Three canonical tests of Gf (BOMAT, Number Series, and Letter Sets) and three working memory tasks (Reading, Rotation, and Symmetry span tasks) were administered to a large sample of healthy adults (n=211). We conducted exploratory factor analysis to investigate the factor structure underlying Gf independent from working memory and observed two Gf components (verbal/spatial and quantitative reasoning) and one working memory component. Our findings revealed a dissociation between two brain biomarkers of Gf (controlling for age and sex): NAA concentration correlated with verbal/spatial reasoning, whereas brain volume correlated with quantitative reasoning and working memory. A follow-up analysis revealed that this pattern of findings is observed for males and females when analyzed separately. Our results provide novel evidence that distinct brain biomarkers are associated with specific facets of human intelligence, demonstrating that NAA and brain volume are independent predictors of verbal/spatial and quantitative facets of Gf.
Cognitive neuroscientists sometimes apply formal models to investigate how the brain implements cognitive processes. These models describe behavioral data in terms of underlying, latent variables linked to hypothesized cognitive processes. A goal of model-based cognitive neuroscience is to link these variables to brain measurements, which can advance progress in both cognitive and neuroscientific research. However, the details and the philosophical approach for this linking problem can vary greatly. We propose a continuum of approaches that differ in the degree of tight, quantitative, and explicit hypothesizing. We describe this continuum using four points along it, which we dub qualitative structural, qualitative predictive, quantitative predictive, and single model linking approaches. We further illustrate by providing examples from three research fields (decision making, reinforcement learning, and symbolic reasoning) for the different linking approaches.
Cognitive psychological research focuses on causal learning and reasoning while cognitive anthropological and social science research tend to focus on systems of beliefs. Our aim was to explore how these two types of research can inform each other. Cognitive psychological theories (causal model theory and causal Bayes nets) were used to derive predictions for systems of causal beliefs. These predictions were then applied to lay theories of depression as a specific test case. A systematic literature review on causal beliefs about depression was conducted, including original, quantitative research. Thirty-six studies investigating 13 non-Western and 32 Western cultural groups were analyzed by classifying assumed causes and preferred forms of treatment into common categories. Relations between beliefs and treatment preferences were assessed. Substantial agreement between cultural groups was found with respect to the impact of observable causes. Stress was generally rated as most important. Less agreement resulted for hidden, especially supernatural causes. Causal beliefs were clearly related to treatment preferences in Western groups, while evidence was mostly lacking for non-Western groups. Overall predictions were supported, but there were considerable methodological limitations. Pointers to future research, which may combine studies on causal beliefs with experimental paradigms on causal reasoning, are given.
Cognitive Remediation (CR) is an evidence-based therapy targeting cognitive difficulties in people with psychosis to promote functional recovery, but it is rarely implemented routinely. To reach more individuals, CR is beginning to be delivered remotely, but there is limited evidence to support the acceptability of this method. To evaluate the acceptability and feasibility of remote therapist-supported CR in people with psychosis and estimate its cost and potential benefits. A case-series with all participants assessed before and after therapy with measures of personal goal attainment (main outcome), cognition, functioning and symptoms. Acceptability was assessed with post-therapy interviews. Feasibility was assessed using proportions and confidence intervals on pre-specified parameters. Indication of benefits was assessed with exploratory analyses comparing baseline and post-therapy scores on the pre-specified outcomes. The cost of providing remote CR was assessed from both healthcare and societal perspectives. Twenty-nine participants started therapy with two dropping out; on average participants attended 25.5 sessions. Interviews suggested that remote CR had good acceptability and led to perceived benefits. Significant and large improvements were observed on goal attainment. Cost analyses suggest that remote CR has the same health care cost as face-to-face therapy but a lower societal cost. Our results support the use of remote CR in psychosis services as an alternative delivery modality. This method may improve adherence, attendance and be more convenient for service users. Possible barriers such as poor digital literacy or appropriate device ownership should be addressed before starting therapy.
Cognitive reserve (CR) partly explains cognitive variability in the presence of pathological brain aging. We investigated the interplay of lifelong CR with age, sex, and brain aging markers in cognitive phenotypes among older adults with very limited education. This population-based cross-sectional study included 179 dementia-free participants (age ≥65 years; 39.7% women; 67.0% had no or elementary education) examined in 2014-2016. We assessed lacunes and volumes of hippocampus, ventricles, grey matter, white matter (WM), and white matter hyperintensities. Lifelong CR score was generated from six lifespan intellectual factors (e.g., education and social support). We used Mini-Mental State Examination (MMSE) score to assess cognition and Petersen's criteria to define mild cognitive impairment (MCI). Data were analyzed using general linear and logistic models. The association of higher lifelong CR score (range: -4.0-5.0) with higher MMSE score was stronger in women (multivariable-adjusted β-coefficient and 95% CI: 1.75;0.99-2.51) than in men (0.68;0.33-1.03) (pinteraction = 0.006). The association of higher CR with MCI (multivariable-adjusted odds ratio and 95% CI: 0.77;0.60-0.99) did not vary by age or sex. Among participants with low CR (<1.4[median]), greater hippocampal and WM volumes were related to higher MMSE scores with multivariable-adjusted β-coefficients being 1.77(0.41-3.13) and 0.44(0.15-0.74); the corresponding figures in those with high CR were 0.15(-0.76-1.07) and -0.17(-0.41-0.07) (pinteraction <0.01). There was no statistical interaction of CR with MRI markers on MCI. Greater lifelong CR capacity is associated with better late-life cognition among people with limited education, possibly by compensating for impact of neurodegeneration.
Cognitive science is a study of human universals. This assumption, which we will refer to as the Newtonian principle (NP), explicitly or implicitly pervades the theory, methods, and prose of most cognitive research. This is despite at least half a century of sustained critique by cross-cultural and anthropologically oriented researchers and glaring counterexamples such as the study of literacy. We argue that a key reason for this intransigence is that the NP solves the boundary problem of cognitive science. Since studying the idiosyncratic cognitive features of an individual is not a generalizable scientific enterprise, what scale of generalization in cognitive science is legitimate and interesting? The NP solution is a priori-only findings generalizing to all humans are legitimate. This approach is clearly flawed; however, critiques of the NP fail to provide any alternative solution. In fact, some anti-NP branches of research have abandoned generalizability altogether. Sailing between the scylla and charybdis of NP and hermeneutics, we propose an explicit, alternative solution to the boundary problem. Namely, building on many previous efforts, we combine cultural-evolutionary theory with a newly defined principle of articulation. This framework requires work on any given cognitive feature to explicitly hypothesize the universal or group-specific environments in which it emerges. Doing so shifts the question of legitimate generalizability from flawed, a priori assumptions to being a target of explicit claims and theorizing. Moreover, the articulation framework allows us to integrate existing findings across research traditions and motivates a range of future directions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Cognitive styles are commonly studied constructs in cognitive psychology. The theory of field dependence-independence was one of the most important cognitive styles. Yet in the past, its measurement had significant shortcomings in validity and reliability. The theory of analytic and holistic cognitive styles attempted to extend this theory and overcome its shortcomings. Unfortunately, the psychometric properties of its measurement methods were not properly verified. Furthermore, new statistical approaches, such as analysis of reaction times, have been overlooked by current research. The aim of this pre-registered study was to verify the psychometric properties (i.e., factor structure, split-half reliability, test-retest reliability, discriminant validity with intelligence and personality, and divergent, concurrent and predictive validity) of several methods routinely applied in the field. We developed/adapted six methods based on self-report questionnaires, rod-and-frame principles, embedded figures, and hierarchical figures. The analysis was conducted on 392 Czech participants, with two data collection waves. The results indicate that the use of methods based on the rod-and-frame principle may be unreliable, demonstrating no absence of association with intelligence. The use of embedded and hierarchical figures is recommended. The self-report questionnaire used in this study showed an unsatisfactory factor structure and also cannot be recommended without futher validation on independent samples. The findings also did not correspond with the original two-dimensional theory.
Collaborative and innovative educational approaches are essential to building nurses' competencies in responding to healthcare challenges and to enhance high-quality nursing practice. Nurses are increasingly learning in various contexts, and thus, the understanding and organising of collaborative learning needs further exploration. To describe collaborative learning in nursing practice and education from the point of view of nurses, involved as students and teachers in master's education in nursing. Qualitative study using semi-structured focus groups involving 33 nurses as master's students and teachers from Estonia and Norway. The data were analysed using inductive content analysis. The essence of collaborative learning in the context of nursing practice and education was identified as the aggregation of diverse learners' skills and reflections while working towards shared aims. This fostered the development of workplace competencies, professional attitudes, and personal growth. Organising collaborative learning requires careful planning and synchronisation between clinical and educational organisations. Collaborative learning is an inclusive method, aiding nurses at different phases of their career to gain knowledge and enhance their soft skills, and potentially reducing professional hierarchies. Further research is needed to develop methods for evaluating the outcomes of collaborative learning.
Collective action is essential to address planetary health as current and future environmental challenges are socioecological and require coordinated, informed, and sustained action from all societal sectors. Education that engages intergenerational communities is a crucial means of building collective action as it provides opportunities to develop an informed citizenry capable of making the necessary decisions to work towards planetary health. Schools are valuable sites of community learning and action, and will benefit from a new orientation towards and commitment to educator training, curriculum development, and youth agency. This orientation is supported by the Organisation for Economic Co-operation and Development's Programme for International Student Assessment's (PISA) 2025 Science Framework, which measures the competence (skills and knowledge) of 15-year-old students. This Personal View describes a new concept, Agency in the Anthropocene, a contributing element of the 2025 Science Framework that defines the way science education could develop agency and hope in this era of socioecological challenges that are impacting planetary health.