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Geriatric depression results in additional difficulties for older people and their residing society. The case-control study intended to assess the association between cognitive social capital and depression in rural older people.
Methods
We conducted this study from January to December 2020 among 420 rural tenants aged ≥60 years in Bangladesh. We enrolled 210 older persons with depression as cases and another 210 without depression as controls. We used a semi-structured questionnaire, the Geriatric Depression Scale (GDS-15), and a cluster sampling technique to collect data through face-to-face interviews. We performed quality control checks and followed all ethics guidelines.
Findings
Geriatric depression had a significant association with gender (p = 0.006), marital status (p < 0.001), education (p < 0.001), occupation (p = 0.001), family type (p < 0.001), family size (p < 0.001), number of family members (p < 0.001), and monthly family income (p < 0.001) of the rural older adults. Both interpersonal trust (p < 0.001) and reciprocity (p < 0.001) were significantly associated with geriatric depression. The older adults who didn’t believe in interpersonal trust (OR = 6.8, p = 0.002) and who disagreed with reciprocity (OR = 31.1, p < 0.001) were more likely to have depression.
Implications
The study findings can contribute to formulating cognitive social capital policy and interventions to promote the psychological well-being of rural older people by alleviating geriatric depression.
This chapter considers the role of neuropsychology in the diagnostic process. It covers who can undertake a neuropsychological assessment, when to undertake an assessment, and some of the assumptions underlying neuropsychological assesssment. Basic psychometrics are covered, using the premise that undertanding a few basic concepts is sufficient for most practioners as more complex ideas are developed from these basics. This includes the normal distribution, different types of average, the standard deviation, and the correlation. Next, the relationship between different tyes of metrics is discussed, focusing on IQ/Index scores, T-scores, scaled scores, and percentiles.
Predictions often falter because of human error. Most misses have much more to do with our own human shortcomings than with the technical sophistication of the method at hand. In our experience, forecasting errors occur when we discard or misinterpret evidence right in front of us. The clues are there, but we are blinded by our own filters. This is why it is essential to tackle such biases and discuss corresponding solutions. In this chapter, we’ll look at studies on the forecasting prowess of experts. Then, we’ll focus on cognitive biases that skew predictions. Finally, we’ll present an applied approach to minimize such biases.
Edited by
Allan Young, Institute of Psychiatry, King's College London,Marsal Sanches, Baylor College of Medicine, Texas,Jair C. Soares, McGovern Medical School, The University of Texas,Mario Juruena, King's College London
The COVID-19 pandemic resurfaced and potentially exacerbated the issue of comorbidities in mental health, with anxiety and depression being a prominent example. The co-occurrence of these conditions may exceed 50%, while there is also an overlap in treatment options and challenges in treatment response. This is supported by evidence indicating similarities between mood and anxiety across multiple dimensions, including cognitive, behavioural, neurobiological, and intracellular mechanisms. Cognitive commonalities primarily refer to attentional and recollection biases towards threatening stimuli and negative information. Behavioural inhibition due to avoidance or reduced motivation is another similarity of anxiety and depression. Shared neurobiological mechanisms include amygdala hyper-reactivity and dysregulation of the HPA axis. At a cellular level, mitochondrial dysfunctions might be underlying stress response and the mechanisms responsible for stress adaptation and regulation. Novel therapeutics, such as photobiomodulation (PBM), have been informed by these mechanistic models.
Globally, human rights violations experienced by persons with psychosocial, intellectual or cognitive disabilities continue to be a concern. The World Health Organization's (WHO) QualityRights initiative presents practical remedies to address these abuses. This paper presents an overview of the implementation of the initiative in Ghana.
Aims
The main objective of the QualityRights initiative in Ghana was to train and change attitudes among a wide range of stakeholders to promote recovery and respect for human rights for people with psychosocial, intellectual and cognitive disabilities.
Method
Reports of in-person and online training, minutes of meetings and correspondence among stakeholders of the QualityRights initiative in Ghana, including activities of international collaborators, were analysed to shed light on the implementation of the project in Ghana.
Results
In-person and online e-training on mental health were conducted. At the time of writing, 40 443 people had registered for the training, 25 416 had started the training and 20 865 people had completed the training and obtained a certificate. The team conducted 27 in-person training sessions with 910 people. The successful implementation of the project is underpinned by a committed partnership among stakeholders, strong leadership from the coordinating agency, the acceptance of the initiative and the outcome. A few challenges, both in implementation and acceptance, are discussed.
Conclusions
The exposure of the WHO QualityRights initiative to a substantial number of key stakeholders involved in mental healthcare in Ghana is critical to reducing human rights abuses for people with psychosocial, intellectual and cognitive disabilities.
Edited by
Andrea Fiorillo, University of Campania “L. Vanvitelli”, Naples,Peter Falkai, Ludwig-Maximilians-Universität München,Philip Gorwood, Sainte-Anne Hospital, Paris
Substance use and substance use disorders (SUD) are highly (and increasing) prevalent both as single disorders and within the context of complex psychiatric and somatic comorbidities. In parallel with the impact of these disorders, research on addictive processes has significantly expanded in recent decades. However, several challenges remain to be addressed on multiple levels. Within the context of continuing evolution of new (illicit and prescription) drugs of abuse and changes in the growing field of behavioral (nonchemical) addictions (gambling, gaming), the epidemiological situation is rapidly changing. On the level of disorder conceptualization and underlying pathogenetic mechanisms many challenges remain to be addressed, impacting a broad spectrum from legislation and public mental health issues to underlying neurobiological processes such as neuroimmune mechanisms and microbiome, and cognitive dimensions. These provide new targets of therapeutic approaches such as neuromodulation, personalized pharmacotherapy, and contingency management.
Edited by
Deepak Cyril D'Souza, Staff Psychiatrist, VA Connecticut Healthcare System; Professor of Psychiatry, Yale University School of Medicine,David Castle, University of Tasmania, Australia,Sir Robin Murray, Honorary Consultant Psychiatrist, Psychosis Service at the South London and Maudsley NHS Trust; Professor of Psychiatric Research at the Institute of Psychiatry
Rising rates of cannabis use during pregnancy and potential negative impacts on offspring health has generated concern. A small and equivocal, but rapidly developing, literature suggests that frequent and heavy pre-natal cannabis exposure (PCE) is associated with adverse neonatal outcomes (e.g., reduced birthweight and gestational age at birth) and may be associated with child psychopathology risk (e.g., externalizing behaviour and psychosis proneness, with less evidence linking PCE to internalizing problems and cognition). Non-human animal models suggest that PCE may causally influence these outcomes; however, in humans it remains unclear whether associations are independent of confounds (e.g., genetic and environmental liability). Mixed findings may be explained on the basis of small samples, limited phenotyping, stigma, confounds, and minimal consideration of timing and frequency of exposure. In particular, given that the central endocannabinoid type 1 receptor to which cannabis constituents bind are not known to be expressed in the foetus until the second half of the first trimester, it is possible that a lack of consideration of timing of exposure may explain null associations in some studies. Collectively, data highlight concerns that PCE is associated with adverse outcomes and suggest that cannabis use during pregnancy should be discouraged while more research is conducted.
Skills that are difficult to automate are expected to increase in demand and reward according to skill-biased technological change advocates, who have identified high rewards for cognitive and social skills. However, such broad skill categories involve numerous essential competencies that can be differentially rewarded or go simply unrewarded. Using US data, this article analyses the demand for and payment of linguistic competency, a cross-cutting kind of skill that is basic for both cognitive and social work in the new economy and is one of the human capacities that is most difficult to automate. While human capital theory predicts an increase in wages as the demand for linguistic skills rises, from cultural/institutional perspectives, it can be theorised that communicative abilities and foreign-language knowledge are socially undervalued because of their association with feminised activities, ethnicity, and low-status service jobs. We analyse the demand and reward for linguistic skills through a two-step analysis of occupational and individual data derived from two sources: the Occupational Information Network and the Current Population Survey. Results show that while ‘hard’ verbal-reasoning skills are associated with high average salaries, as is predicted by neoclassical theory, the potentially undervalued linguistic skills – interactive and multilingual skills – are unrewarded and even penalised. This evidence requires further political attention, given its implications for large number of workers, especially in feminised, low-status service jobs.
Spirituality is a deeply personal universal human experience, and people with intellectual disability may miss out on the expression of this vital part of their identity, which is a fundamental human right. An understanding of people with intellectual disability as creative communicators has been gained through action research, but spirituality is still a poorly understood aspect of their lives, giving rise to unmet needs. Outdated practices and beliefs about the origins of disability have led to a culture of exclusion or, at best, tokenism. Around the world, reports are still emerging of marginalization, discrimination and even abuse because of negative spiritual attribution or views about cognitive abilities and consequent economic worth. Faith communities and secular care providers need to incorporate new learning about the importance of spirituality for mental health into mainstream planning of care with the involvement of people with intellectual disabilities who communicate creatively as co-producers.
Loss of empathy is a hallmark feature of behavioral variant frontotemporal dementia (bvFTD). Change in socioemotional functioning identified by others is often the primary initial presenting concern in this disorder, in contrast to more subtle early cognitive changes and limited patient insight. The present study examined the predictive utility of an empathy informant-report measure for discriminating clinician-diagnosed bvFTD from other dementia syndromes.
Method:
Data from the National Alzheimer’s Coordinating Center (NACC) database were used to study individuals with bvFTD (n = 406) and other dementia syndromes (n = 385). Participants were administered neuropsychological measures and collateral informants completed an informant-report of empathy.
Results:
Informants reported that patients with bvFTD demonstrated significantly lower levels of empathic concern [F(1, 789) = 120.91, p < .001, η2 = 0.13] and perspective taking [F(1, 789) = 153.08, p < .001, η2 = 0.16] than patients with other dementia syndromes. These differences were not attributable to the level of global cognitive impairment. Empathy scores were not significantly associated with any neurocognitive measure when controlling for age. ROC curve analyses showed fair to good clinical utility of the informant-report empathy measure for distinguishing bvFTD from non-bvFTD, whereas a traditional measure of executive functioning failed to differentiate the groups.
Conclusions:
These findings indicate that informant ratings of empathy offer a unique source of clinical information that may be useful in detecting neurobehavioral changes specific to bvFTD before a clear neurocognitive pattern emerges on testing.
Mood disorders are common psychiatric illnesses with major disability and mortality and it is estimated that 8% to 20% of the population experience a depressive episode at some point in their lives.
Objectives
To find out the prevalence of cognitive impairment among patients with Mood Disorders i.e, Major Depressive Disorder (MDD) and Bipolar Mood Disorder (BMD), etc. and to find out the status of cognitive impairment with clinical variables of Mood Disorders.
Methods
This was a descriptive cross-sectional study conducted among the patients attending both the inpatient and outpatient departments of the National Institute of Mental Health, Dhaka. The duration of the study was fourteen months starting from July 2011 to September 2012. A total of one hundred and thirty-three (n=133) patients who fulfilled the inclusion-exclusion criteria were selected.
Results
The mean age of onset of mood disorder was 30.1± 10.7years.60.2% were male and 39.8% were female respondents. Cognitive impairment was found among 43.6% of the respondents. A substantial proportion of the study population was found to have cognitive impairment. In this study, the cognitive status of the respondents was not associated with the duration of illness (p>0.5).
Conclusions
So assessment of cognitive status should be an essential part of the management of this group of people.
Bipolar disorder (BD) is a mental illness marked by extreme swings in the mood, energy, and thinking. Although it’s not an official symptom of the disease, some research suggests that it also may affect the empathy.
Objectives
To investigate empathic responding in patients with BD in euthymic state of illness and to determine associated factors.
Methods
A cross-sectional and descriptive study of 78 patients followed for bipolar disorder, during euthymia, at the psychiatric outpatient clinic at CHU Hédi Chaker in Sfax. We used a socio-demographic and clinical data sheet and the Questionnaire of Cognitive And Affective Empathy (QCAE) to assess empathy with its two dimensions : “Affective empathy” and “Cognitive empathy”.
Results
The average age was 36.27 years, the sex ratio was 5.5. Bipolar I disorder was diagnosed in 88.5% of patients. The mean age of onset was 27.73 years, and the mean duration of illness was 8.4 years. 78.2% of patients had a good adherence to treatment. 60.3% of them had residual depressive symptoms during eutymia. QCAE total score was 72.49. (Maximum possible score 124) Cognitive empathy score was 43.21. (Maximum possible score 76) Affective empathy score was 29.36. (Maximum possible score 48) Affective empathy was associated with female gender (p=0), good adherence to treatment (p=0.01) and residual depressive symptoms (p=0.001).
Conclusions
Our study shows that bipolar patients have fairly good levels of empathy. However, in order to better substantiate empathy in BD, comparative studies seem necessary.
Mild cognitive impairment is one of the commonly reported disorders nowadays in old age individuals,it might represent the prodroma of definite dementia.There is a novel Arabic tool now which could help in the evaluation of cognitive functions in these patients.
Objectives
1-To study the cognitive functions in mild cognitive impairment by a novel Thinc-it tool (Arabic version) 2-To compare between Mini Mental Status Examination ( Standard test) and the novel Thinc-it battery ( Arabic version ) in detection of cognitive dysfunctions in these patients.
Methods
1-The Mini Mental State Examination (MMSE) is a tool that can be used to systematically and thoroughly assess mental status. It is an 11-question measure that tests five areas of cognitive function: orientation, registration, attention and calculation, recall, and language. The maximum score is 30. A score of 23 or lower is indicative of cognitive impairment. The MMSE takes only 5-10 minutes to administer and is therefore practical to use repeatedly and routinely 2-Thinc-it THINC-it® is a screening tool designed to measure cognition and provides important data for an overall evaluation of whether cognitive functioning is impaired,it includes the folloowing tests:
1. PDQ-5D Subjective Questionnaire
2. “Spotter” – CRT game
3. “Symbol Check” – Nback game
4. “CodeBreaker” – DSST game
5. Trails – TMT game
Results
The results of Thinc-it (Arabic version) is statistically correlated to the mean score of Mini Mental state Examination,this means this Arabic version is a valid novel tool for assessment of Cognitive dysfunctions .
Conclusions
Arabic version of Thinc-it can be used in cognitive evaluation
Schizophrenia and bipolar disorder are complex mental illnesses that are associated with cognitive deficits. There is considerable cognitive heterogeneity that exists within both disorders. Studies that cluster schizophrenia and bipolar patients into subgroups based on their cognitive profile increasingly demonstrate that, relative to healthy controls, there is a severely compromised subgroup and a relatively intact subgroup. There is emerging evidence that telomere shortening, a marker of cellular senescence, may be associated with cognitive impairments. The aim of this study was to explore the relationship between cognitive subgroups in bipolar-schizophrenia spectrum disorders and telomere length against a healthy control sample.
Methods
Participants included a transdiagnostic group diagnosed with bipolar, schizophrenia or schizoaffective disorder (n = 73) and healthy controls (n = 113). Cognitive clusters within the transdiagnostic patient group, were determined using K-means cluster analysis based on current cognitive functioning (MATRICS Consensus Cognitive Battery scores). Telomere length was determined using quantitative PCRs genomic DNA extracted from whole blood. Emergent clusters were then compared to the healthy control group on telomere length.
Results
Two clusters emerged within the patient group that were deemed to reflect a relatively intact cognitive group and a cognitively impaired subgroup. Telomere length was significantly shorter in the severely impaired cognitive subgroup compared to the healthy control group.
Conclusions
This study replicates previous findings of transdiagnostic cognitive subgroups and associates shorter telomere length with the severely impaired cognitive subgroup. These findings support emerging literature associating cognitive impairments in psychiatric disorders to accelerated cellular aging as indexed by telomere length.
As perhaps the most comprehensive review of non-finiteness so far, Chapter 2 starts by reviewing the mentions of non-finiteness in the early history of English grammar writing (from 1785), then it digs into the studies of non-finiteness in the following theories: morphology-based traditional grammar, typological perspective, form-based generative grammar, meaning-based cognitive grammar, meaning- and form-based systemic functional grammar, semiotic grammar, role and reference grammar, functional discourse grammar, construction grammar and other approaches. A summary of the enlightening views is provided at the end of the chapter.
Individuals with AN tend to (1) be able to inhibit impulses and delay gratification, which impacts their decision-making and (2) have increased brain cognitive control response during decision-making, suggesting they “overthink” to make up for what they “under” sense internally. This response encourages the need for rules to guide behavior. Pathological anorexia nervosa eating may be related to an altered balance between decreased reward sensitivity and increased inhibition.
The learning sciences (LS) is an interdisciplinary field that studies teaching and learning. This chapter explains how the thirty-three chapters are organized. The chapter is grouped into four key themes: (1) a shift from thinking of knowledge as facts and procedures to a conception of knowledge as situated in visible practice; (2) an expansion of a view of learning from purely cognitive to a sociocultural view that also incorporates collaboration and conversation; (3) the role of technology in learning; (4) research methodologies used in LS. The chapter closes with a short history of the field of LS from the 1980s through the present.
This chapter provides an account of ways that experimental methods can be used to uncover and identify decision-making biases. Investment arbitration tribunals derive their legitimacy from different normative, sociological and political processes than standing courts. In great part, these tribunals rely on tacit norms of behaviour among arbitration professionals. Understanding what factors affect how arbitrators make decisions in these kinds of adjudicative settings is essential in assessing critiques concerning the quality or correctness of their decisions and especially their independence and impartiality. The authors describe a promising alternative empirical strategy that utilizes survey experiments conducted on arbitration professionals to test bias claims. It discusses also how researchers can design experimental vignettes to mimic specific aspects of the arbitration process that are difficult to observe or manipulate in the real world context.
The present chapter focuses on the benefits of task-supported interaction among child foreign language learners. It reviews research carried out in English as a foreign language (EFL) and content and language integrated learning (CLIL) contexts, and highlights the affordances of child–child interaction in settings where access to input is restricted. The chapter provides a rationale for the increasing interest in research with the underexplored population of young learners in foreign language contexts. It also features a summary of the main findings from research carried out to date within two frameworks, namely, interactionist (Long, 1996) and sociocultural (Vygotsky, 1978). The children in the studies are in the so-called middle childhood stage, a developmental stage characterized by their becoming more logical in their thinking. The studies chosen for this chapter have considered the importance of negotiation of meaning and the impact of repeating a task on interactional patterns, attention to language form, complexity, accuracy and fluency of production and the use of the first language. The contribution ends with several suggestions for further research with young learners.
Neuroimaging- and machine-learning-based brain-age prediction of schizophrenia is well established. However, the diagnostic significance and the effect of early medication on first-episode schizophrenia remains unclear.
Aims
To explore whether predicted brain age can be used as a biomarker for schizophrenia diagnosis, and the relationship between clinical characteristics and brain-predicted age difference (PAD), and the effects of early medication on predicted brain age.
Method
The predicted model was built on 523 diffusion tensor imaging magnetic resonance imaging scans from healthy controls. First, the brain-PAD of 60 patients with first-episode schizophrenia, 60 healthy controls and 21 follow-up patients from the principal data-set and 40 pairs of individuals in the replication data-set were calculated. Next, the brain-PAD between groups were compared and the correlations between brain-PAD and clinical measurements were analysed.
Results
The patients showed a significant increase in brain-PAD compared with healthy controls. After early medication, the brain-PAD of patients decreased significantly compared with baseline (P < 0.001). The fractional anisotropy value of 31/33 white matter tract features, which related to the brain-PAD scores, had significantly statistical differences before and after measurements (P < 0.05, false discovery rate corrected). Correlation analysis showed that the age gap was negatively associated with the positive score on the Positive and Negative Syndrome Scale in the principal data-set (r = −0.326, P = 0.014).
Conclusions
The brain age of patients with first-episode schizophrenia may be older than their chronological age. Early medication holds promise for improving the patient's brain ageing. Neuroimaging-based brain-age prediction can provide novel insights into the understanding of schizophrenia.