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Literatura académica sobre el tema "Apathy Evaluation Scale"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 1 de febrero de 2022

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Artículos de revistas sobre el tema "Apathy Evaluation Scale"

Raimo, S., L. Trojano, M. Gaita, D. Spitaleri, and G. Santangelo. "Assessing apathy in multiple sclerosis: Validation of the dimensional apathy scale and comparison with apathy evaluation scale." Multiple Sclerosis and Related Disorders 38 (February 2020): 101870. http://dx.doi.org/10.1016/j.msard.2019.101870.

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Stella, Florindo, Larissa Pires de Andrade, Thays Martins Vital, Flávia Gomes de Melo Coelho, Carla Manuela Crispim Nascimento, and Salma Stephany Soleman Hernández. "Apathy in Alzheimer's disease: Contribution to a clinical view on progression of dementia." Dementia & Neuropsychologia 4, no. 3 (2010): 188–93. http://dx.doi.org/10.1590/s1980-57642010dn40300007.

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Abstract In addition to cognitive impairment, apathy is increasingly recognized as an important neuropsychiatric syndrome in Alzheimer's disease (AD). Aims: To identify the relationship between dementia severity and apathy levels, and to discuss the association of this condition with other psychopathological manifestations in AD patients. Methods: This study involved 15 AD patients (mean age: 77 years; schooling: 4.9 years), with mild, moderate and severe dementia, living in Rio Claro SP, Brazil. Procedures included evaluation of cognitive status by the Mini-Mental State Examination, Clinical Dementia Rating, and Global Deterioration Scale. Apathy syndrome was assessed by the Apathy Evaluation Scale and Neuropsychiatric Inventory (NPI-apathy domain). Other psychopathological manifestations such as depression were also considered. Results: Patients with more severe dementia presented higher levels of apathy, reinforcing the hypothesis that apathy severity aggravates as the disease progresses. Using the Spearman coefficient correlation an association was identified between the MMSE and Apathy Evaluation Scale (r=0.63; p=0.01), and also between the MMSE and NPI-apathy domain (r=0.81; p=0.01). Associations were also found between the Global Deterioration Scale and Apathy Evaluation Scale (r=0.58; p=0.02), and between the Global Deterioration Scale and NPI-apathy domain (r=0.81; p=0.01). Conclusions: Apathy is a distinct syndrome among patients with AD and increases with global deterioration.

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Faerden, Ann, Ragnar Nesvåg, Elizabeth Ann Barrett, et al. "Assessing apathy: The use of the Apathy Evaluation Scale in first episode psychosis." European Psychiatry 23, no. 1 (2008): 33–39. http://dx.doi.org/10.1016/j.eurpsy.2007.09.002.

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AbstractBackgroundRecently there has been a renewed interest in defining the boundaries and subdomains of the negative syndrome in schizophrenia and new scales have been asked for. Apathy is one of the symptoms in focus. The Apathy Evaluation Scale (AES) with its clinical version (AES-C) is one of the most used scales in an interdisciplinary context, but it has never previously been used in a population with first episode psychosis. The main aims of this study were to examine the psychometric properties of the AES-C and its relationship to the Positive and Negative Syndrome Scale (PANSS).MethodsA total of 104 patients with first episode psychosis from the ongoing Thematic Organized Psychosis Research (TOP) study were included.ResultsA factor analysis of the AES-C identified three subscales: Apathy, Insight and Social Contacts. Only the Apathy subscale showed satisfactory psychometric properties and showed acceptable convergent and discriminate properties by correlating strongly with the apathy-related items of the PANSS.ConclusionsThis study shows that the AES-C measures more than one dimension. The main factor, the Apathy subscale, can however be used to assess apathy in first episode psychosis patients in the ongoing work of refining the subdomains of the negative syndrome.

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Raimo, Simona, Luigi Trojano, Daniele Spitaleri, Vittorio Petretta, Dario Grossi, and Gabriella Santangelo. "Apathy in multiple sclerosis: A validation study of the apathy evaluation scale." Journal of the Neurological Sciences 347, no. 1-2 (2014): 295–300. http://dx.doi.org/10.1016/j.jns.2014.10.027.

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Umucu, Emre, Mary Wyman, Beatrice Lee, et al. "Apathy in Preclinical Alzheimer’s Disease: Psychometric Validation of the Apathy Evaluation Scale." American Journal of Alzheimer's Disease & Other Dementiasr 34, no. 1 (2018): 16–22. http://dx.doi.org/10.1177/1533317518794020.

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Objectives: The purpose of the present study was to validate the Apathy Evaluation Scale, self-rated version (AES-S), and assess the severity of apathy in a cognitively healthy middle-aged cohort at risk for Alzheimer’s disease (AD). Method: Three hundred and sixteen middle-aged adults were selected to represent a subset of the Wisconsin Alzheimer’s Disease Research Center Clinical Core: the Investigating Memory in People At-risk, Causes and Treatments cohort. Results: An exploratory factor analysis (EFA) with varimax rotation identified 3 subscales: apathy, disinterest, and social withdrawal factors. Confirmatory factor analysis confirmed the EFA findings. Results indicated acceptable convergent and discriminant validity. The AES-S is a reliable instrument to quantify apathy in cognitively healthy middle-aged individuals at risk for AD. Discussion: This study demonstrates the AES-S is a psychometrically sound measurement tool for assessing levels of apathy in a cognitively healthy middle-aged cohort at risk for AD.

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Marin, Robert S., Ruth C. Biedrzycki, and Sekip Firinciogullari. "Reliability and validity of the apathy evaluation scale." Psychiatry Research 38, no. 2 (1991): 143–62. http://dx.doi.org/10.1016/0165-1781(91)90040-v.

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Sipos-Lascu, Diana, Ștefan-Cristian Vesa, and Lăcrămioara Perju-Dumbravă. "Apathy and Anhedonia: Clinical and Neurophysiological Assessment of a Romanian Cohort." Brain Sciences 11, no. 6 (2021): 729. http://dx.doi.org/10.3390/brainsci11060729.

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Background: Patients with Parkinson’s disease (PD) often have, besides the characteristic motor manifestations, a wide variety of non-motor symptoms. These include apathy and anhedonia, common issues in PD, which can be quantified with the help of evaluation scales recommended by the literature. There are sensory non-motor manifestations of PD, some of which are easy to detect through electrophysiological studies. Our aim was to investigate the possible association of apathy and anhedonia with the severity of the motor status in a sample of PD patients in Romania. We also examined the prevalence of latency changes in the P100 wave of visual evoked potentials (VEPs) and how they correlated with motor status, apathy, and anhedonia in PD patients. Methods: Thirty-four patients with PD participated in this study. All were assessed for motor status using the Unified Parkinson’s Disease Rating Scale (UPDRS) and were rated on the Hoehn and Yahr scales. The presence and severity of apathy and anhedonia were assessed using the Apathy Evaluation Scale (AES), the Dimensional Apathy Scale (DAS), the Lille Apathy Rating Scale (LARS), and the Snaith–Hamilton Pleasure Scale (SHAPS). The latency of the P100 wave of the VEP was measured in all the patients. Results: Apathy and anhedonia were common among the patients with PD (35% and 58.8%, respectively). The presence of apathy/anhedonia was correlated with the severity of motor symptoms, as assessed using the UPDRS scale (p < 0.001), and with the stage of the disease according to the Hoehn and Yahr scale (p < 0.001). A prolonged latency of the P100 wave of the VEP was observed among apathetic (p < 0.001)/anhedonic (p < 0.01) patients and those with increased disease severity (p < 0.001). Conclusion: Apathy and anhedonia are common in PD and may correlate with the severity of motor symptoms. There may be visual impairment in these patients, evidenced by a prolonged P100 latency, which correlates with the severity of disease. Significance: Scales for assessing apathy and anhedonia, as well as measuring VEP latency, could be useful in assessing the severity of disease.

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Radakovic, Ratko, Catherine Harley, Sharon Abrahams, and John M. Starr. "A systematic review of the validity and reliability of apathy scales in neurodegenerative conditions." International Psychogeriatrics 27, no. 6 (2014): 903–23. http://dx.doi.org/10.1017/s1041610214002221.

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ABSTRACTBackground:There are several scales used to detect apathy in disease populations. Since apathy is a prevalent symptom in many neurodegenerative diseases, this is an especially important context in which to identify and compare scales.Aims:To provide an overview of apathy scales validated in generic and specific neurodegenerative disease populations, compare validation studies’ methodological quality and the psychometric properties of the validated apathy scales.Methods:A systematic review of literature was conducted of articles published between 1980 and 2013. The final articles selected for review were rated on methodological quality and the psychometric properties of the scales used were interpreted.Results:Sixteen articles validating apathy scales were included in the review, five in a generic neurodegenerative sample and eleven in specific neurodegenerative samples. The methodological quality of specific studies varied from poor to excellent. The highest quality, which had psychometrically favorable scales, were the dementia apathy interview and rating (DAIR) and the apathy evaluation scale-clinical version (AES-C) in Alzheimer's disease and the Lille apathy rating scale (LARS) in Parkinson's disease. Generic neurodegenerative disease validation studies were of average methodological quality and yielded inconsistent psychometric properties.Conclusions:Several instruments can be recommended for use in some specific neurodegenerative diseases. Other instruments should either be validated or developed to assess apathy in more generic populations.

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Clarke, Diana E., Robert van Reekum, Martine Simard, David L. Streiner, Morris Freedman, and David Conn. "Apathy in Dementia: An Examination of the Psychometric Properties of the Apathy Evaluation Scale." Journal of Neuropsychiatry and Clinical Neurosciences 19, no. 1 (2007): 57–64. http://dx.doi.org/10.1176/jnp.2007.19.1.57.

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Hsieh, Chia-Jung, Hsin Chu, Joseph Jror-Serk Cheng, Winston W. Shen, and Chia-Chin Lin. "Validation of apathy evaluation scale and assessment of severity of apathy in Alzheimer's disease." Psychiatry and Clinical Neurosciences 66, no. 3 (2012): 227–34. http://dx.doi.org/10.1111/j.1440-1819.2011.02315.x.

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Tesis sobre el tema "Apathy Evaluation Scale"

Myerson, Connie. "Expanding the Model of Apathy in Parkinson's Disease: Exploration of Conceptual Domains and Identification of Neuropsychological Correlates." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/601.

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Apathy is a debilitating non-motor symptom in Parkinson’s disease (PD) that is closely associated with cognitive dysfunction, depression, and caregiver burden. The proposed etiology and operational definition of apathy involves a tripartite model that includes cognitive, behavioral, and emotional manifestations. This theoretical model has not been statistically validated. We examined the tripartite structure of apathy in PD, and subsequent associations between apathy factors and demographic, disease, and neuropsychological measures. One hundred forty-one patients with idiopathic PD underwent neurological examination and comprehensive neuropsychological testing including the Apathy Evaluation Scale (AES). Statistical analyses included correlation, means comparison, item analysis, and confirmatory factor analysis using SEM. The AES was found to be a valid and reliable measure of apathy. Although a tripartite model of apathy was not supported, a novel 3-factor structure of apathy (R-Apathy) emerged characterized by Cognitive/Emotional and Behavioral factors. Both education and depression were significantly associated with R-Apathy. When these were controlled, R-Apathy was associated with impairment in select executive function and visuospatial skills. Apathy remains an important dimension in understanding nonmotor changes in PD. As a whole, apathy correlated with specific areas of neuropsychological dysfunction apart from the influence of depression. Manifestations of apathy such as mental disengagement and behavioral withdrawal are key features of the disease presentation. The importance of evaluating apathy as a contributing factor to patients’ neurocognitive status, mood, and psychosocial functioning should not be underestimated. Furthermore, an apathy evaluation should be included as a standard part of a Parkinson’s evaluation.

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Guercio, Brendan John. "The Apathy Evaluation Scale: A Comparison of Subject, Informant, and Clinician Report in Cognitively Normal Elderly and Mild Cognitive Impairment." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17295861.

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Background: Apathy is a common symptom in Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI). The Apathy Evaluation Scale (AES) is a promising tool for measuring apathy in early AD. Objective: To compare the AES sub-scales—subject-reported (AES-S), informant-reported (AES-I), and clinician-reported (AES-C)—over time and investigate apathy’s relation to cortical atrophy in MCI and cognitively normal (CN) elderly. Methods: Symptom clusters driving AES scores were identified through factor analysis. Mixed effects longitudinal models were used to assess predictors of AES constructs. Cox proportional hazards models were used to assess which AES constructs predict progression to AD dementia. Finally, we used multivariate regression to evaluate the cross-sectional relationship between AES-C and regional cortical thickness. Results: Across the various mixed effects models, greater apathy was commonly associated with greater years in study, a diagnosis of MCI, and male sex. MCI subjects underreported apathy compared to CN elderly. Of the sub-scales, lower AES-C scores (indicating greater apathy) were most predictive of transition to AD dementia. Lower AES-C scores were also associated with lower inferior temporal cortical thickness. Conclusion: In individuals at risk for AD, the AES-C predicts progression from MCI to AD dementia and lower inferior temporal cortical thickness.

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Tsai, Chih-Pu, and 蔡知圃. "A normative study of Taiwanese Version of Apathy Evaluation Scale, International Affective Pictures System, Japanese and Caucasian Facial Expression of Emotion, and Chinese Version of International Reactivity Index in chronic schizophrenic patients in Taiwan." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/81762710736541280916.

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碩士<br>國立東華大學<br>諮商與臨床心理學系<br>103<br>In the past domestic research, we lack of social cognitive impairment tools in schizophrenia. This study attempted to establish large sample normative data for social cognitive impairment of schizophrenia in Taiwan. Social cognition in this research include: motivation, emotion recognition, valence and arousal in social situation of emotional stimuli, empathy. There are 147 patients with schizophrenia in total, including 91 males and 56 females in one eastern and one southern Taiwan hospitals. The psychological assessment tools including: Taiwanese Version of Apathy Evaluation Scale (TAES), International Affective Pictures System (IAPS), Japanese and Caucasian Facial Expression of Emotion (JACFEE), and Chinese Version of International Reactivity Index (C-IRI). The data were examined by descriptive statistics, correlation and regression. The main results were: (1) No significant relationship between participants’ education and TAES. Apathy of observable activity was significantly with participants’ sex and age. (2) The participants had pleasure to positive emotional stimuli in IAPS, but unlike normal people, participants didn’t have positive correlated with pleasure and arousal to positive emotional stimuli. (3) Fear emotion was least well recognized in JACFEE. (4) In T-IRI, significant differences between males and females were found in half of the subscales, which women display significantly higher scores in fantasy, empathic, concern, emotional empathy, and full-scale than men.

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Capítulos de libros sobre el tema "Apathy Evaluation Scale"

Marin, Biedrzycki, and Firinciogullari. "Apathy Evaluation Scale (AES)." In A Compendium of Tests, Scales and Questionnaires. Psychology Press, 2020. http://dx.doi.org/10.4324/9781003076391-73.

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Dollfus, Sonia, and Anais Vandevelde. "The patients’ view." In Managing Negative Symptoms of Schizophrenia. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198840121.003.0004.

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The use and the choice of standardized assessment tools are necessary for improving identification of negative symptoms and for testing new efficient therapies. Most of the scales on negative symptoms are based on observer rating. Compared to these scales, self-assessments have been overlooked. Nevertheless, they are quite relevant since they are generally simple; they allow the patients to report their own symptoms and so are complementary to the evaluations based on observer ratings; they require the patient’s participation and so improve their involvement in the treatment; they are time-efficient and can be very useful for identification of negative symptoms at the onset of illness. Among the self-assessments, we can distinguish those designed and validated in patients with schizophrenia and others that can be used in schizophrenia while they have been validated in other populations. Among the first group, two recent scales have supplanted old scales, the Motivation and Pleasure Scale–Self-Report (MAP–SR) and the Self-evaluation of Negative Symptoms (SNS). The last one presents all the psychometric properties required. Among the second group, the most used scales are focused on anhedonia and apathy which assess these dimensions in schizophrenia but also in various psychiatric and neurological disorders; the most well-known are the Social Anhedonia Scale (SAS), the Physical Anhedonia Scale (PAS), and more recently are, on the one hand, the Self-reported Apathy Evaluation Scale (AES-S) and on the other, the Temporal Experience of Pleasure Scale (TEPS) and the Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS) which distinguish anticipation and consummatory pleasures.

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Marques, Maria do Céu Mendes Pinto, Ana Patricia Miguel, Carla Pinho, Solange Vieira Mega, Sónia Isabel Carmo, and Marlene Silvestre. "Noninvasive Ventilation in the Elderly Patient With COPD." In Advances in Medical Diagnosis, Treatment, and Care. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3531-8.ch005.

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The objective of this chapter is to identify the latest evidence on the elderly critical patient with chronic obstructive pulmonary disease. Nine articles were analysed. The effectiveness of NIV has been demonstrated in cases of elderly critically ill patients with acute COPD. Evidence has been shown to decrease hospital stay and mortality, although long-term survival has been shown to be short. The prediction of NIV failure is multifactorial, including very old age, comorbidities, low analytical values of albumin, simplified severity index II, pH < 7.3 of arterial blood, PaCO2 (Carbon Dioxide Pressure) < 45 mmHg, CAT (COPD Assessment Test) elevated, Glasgow Coma Scale < 11, and APACHE II (Acute Physiology and Chronic Health Evaluation) 29. NIV has demonstrated efficacy in elderly patients in situations of acute COPD.

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Actas de conferencias sobre el tema "Apathy Evaluation Scale"

Cheng, George H., Chao Qi, and G. Gary Wang. "A Dynamic Service-Oriented Distributed Computing Framework for Evaluation of Computationally Expensive Black-Box Analyses." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35308.

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A practical, flexible, versatile, and heterogeneous distributed computing framework is presented that simplifies the creation of small-scale local distributed computing networks for the execution of computationally expensive black-box analyses. The framework is called the Dynamic Service-oriented Optimization Computing Framework (DSOCF), and is designed to parallelize black-box computation to speed up optimization runs. It is developed in Java and leverages the Apache River project, which is a dynamic Service-Oriented Architecture (SOA). A roulette-based real-time load balancing algorithm is implemented that supports multiple users and balances against task priorities, which is superior to the rigid pre-set wall clock limits commonly seen in grid computing. The framework accounts for constraints on resources and incorporates a credit-based system to ensure fair usage and access to computing resources. Experimental testing results are shown to demonstrate the effectiveness of the framework.

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