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Chiara Baiano

Bio: Chiara Baiano is an academic researcher from Seconda Università degli Studi di Napoli. The author has contributed to research in topics: Autism & Medicine. The author has an hindex of 8, co-authored 23 publications receiving 220 citations.

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TL;DR: The present meta‐analysis indicated that mild cognitive impairment in PD is a frequent cognitive status deserving to be early detected by means of standardized cognitive assessments in clinical practice.
Abstract: Mild cognitive impairment associated with Parkinson's disease (PD) is a risk factor for the development of dementia. Despite the importance of early identification of mild cognitive impairment in PD, its prevalence and clinical correlates are still debated. The present meta-analysis provides a robust estimate of prevalence rate of mild cognitive impairment in PD according to the Movement Disorder Society clinical criteria and to explore the differences between PD patients with and without mild cognitive impairment in demographic, clinical, and neuropsychiatric features. A systematic literature search was performed up to April 2019 using PsycInfo (PROQUEST), PubMed, and Scopus. From 4706 titles and abstracts, 41 studies were selected (n = 7053 patients). Pooled mild cognitive impairment prevalence was 40% on a total sample of 7053 PD patients (95% confidence interval = 36-44; Q = 490.14, P < 0.0001; I2 = 91.84%) with a higher frequency for the multiple domain subtype (31%; 95% confidence interval = 23-41, Q = 93.24; P < 0.0001; I2 = 92.49%). Meta-regression analysis revealed that stage of PD moderate prevalence estimates of mild cognitive impairment (β = 2.80; P = 0.008). Mild cognitive impairment in PD was associated with older age, lower education, longer disease duration, higher levodopa equivalent daily dose, more severe motor symptoms, and postural instability/gait difficulty motor subtype, poorer quality of life, higher levels of apathy, and depression. The present meta-analysis indicated that mild cognitive impairment in PD is a frequent cognitive status deserving to be early detected by means of standardized cognitive assessments in clinical practice. © 2019 International Parkinson and Movement Disorder Society.

127 citations

Journal ArticleDOI
TL;DR: In this article, the tendency to worry could affect psychological responses to quarantine by capitalizing on the opportunity of having collected data before the COVID-19 outbreak on measures of worry, anxiety, and trait mindfulness in a group of university students.
Abstract: Background: We tested whether the tendency to worry could affect psychological responses to quarantine by capitalizing on the opportunity of having collected data before the COVID-19 outbreak on measures of worry, anxiety, and trait mindfulness in a group of university students. Methods: Twenty-five participants completed self-report measures assessing worry (Penn State Worry Questionnaire, PSWQ), anxiety (Anxiety Sensitivity Index, ASI-3), and trait mindfulness (Mindful Attention Awareness Scale, MAAS) at T0 (pre-lockdown, 4 November 2019–17 February 2020) and T1 (at the end of lockdown, 26 April–30 April 2020). We compared assessments at the two time points in the whole sample and in high and low worriers (defined at T0 by scores on PSWQ respectively above and below 1.5 SD from mean of the Italian normative sample). Outcomes: High worriers showed at T1 a significant increase of anxiety sensitivity and fear of mental health in comparison to low worriers. Moreover, in the whole sample, at T1 trait mindfulness was inversely related to worry and fear of mental health. Interpretation: A valuable approach to support individuals experiencing anxiety related to the COVID-19 outbreak could be represented by mindfulness-based interventions improving the ability to focus attention and awareness on the present moment.

55 citations

Journal ArticleDOI
TL;DR: The personality profile delineated in the present study on PD patients seems to reflect the premorbid one and might contribute to development and persistence of affective disorders.

51 citations

Journal ArticleDOI
TL;DR: The finding indicated that anxiety, apathy associated with impaired planning, attention and organization and reduced functional autonomy contribute significantly to reduce the HRQoL in PD.

44 citations

Journal ArticleDOI
TL;DR: The meta-analysis revealed that high Neuroticism and low Openness and Extraversion are distinctive personality traits significantly associated with a diagnosis of AD when evaluated both self-rated and informant-rated measures.
Abstract: Background The role of specific personality traits as factor risks of Alzheimer's disease (AD) has been consistently found, whereas personality traits specifically related to AD (after the diagnosis) have not been outlined yet. Objective A meta-analysis of published studies was performed to determine whether AD patients have a distinctive personality trait profile compared to healthy subjects (HC), similar to or different from a premorbid personality profile consistently reported in previous studies. Methods A systematic literature search was performed using PsycInfo (PROQUEST), PubMed, and Scopus. The meta-analysis pooled results from primary studies using Hedges' g unbiased approach. Results The meta-analysis included 10 primary studies and revealed that, when the personality was evaluated by informant-rated measures, AD patients had significantly higher levels of Neuroticism, lower levels of Openness, Agreeableness, Conscientiousness, and Extraversion than HCs. When the personality was evaluated by self-rated measures, the results obtained from informants were confirmed for Neuroticism, Openness, and Extraversion but not for Agreeableness and Conscientiousness where AD patients and HCs achieved similar scores. Conclusions The meta-analysis revealed that high Neuroticism and low Openness and Extraversion are distinctive personality traits significantly associated with a diagnosis of AD when evaluated both self-rated and informant-rated measures. This personality trait profile is similar to premorbid one, which contributes to development of AD over time. Therefore, our findings indirectly support the idea of specific premorbid personality traits as harbingers of AD.

30 citations


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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal ArticleDOI
01 Jul 2021
TL;DR: Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting >1% of the population ≥65 years of age and with a prevalence set to double by 2030 as mentioned in this paper.
Abstract: Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting >1% of the population ≥65 years of age and with a prevalence set to double by 2030. In addition to the defining motor symptoms of PD, multiple non-motor symptoms occur; among them, cognitive impairment is common and can potentially occur at any disease stage. Cognitive decline is usually slow and insidious, but rapid in some cases. Recently, the focus has been on the early cognitive changes, where executive and visuospatial impairments are typical and can be accompanied by memory impairment, increasing the risk for early progression to dementia. Other risk factors for early progression to dementia include visual hallucinations, older age and biomarker changes such as cortical atrophy, as well as Alzheimer-type changes on functional imaging and in cerebrospinal fluid, and slowing and frequency variation on EEG. However, the mechanisms underlying cognitive decline in PD remain largely unclear. Cortical involvement of Lewy body and Alzheimer-type pathologies are key features, but multiple mechanisms are likely involved. Cholinesterase inhibition is the only high-level evidence-based treatment available, but other pharmacological and non-pharmacological strategies are being tested. Challenges include the identification of disease-modifying therapies as well as finding biomarkers to better predict cognitive decline and identify patients at high risk for early and rapid cognitive impairment. Cognitive impairment is common in patients with Parkinson disease and ranges in severity. This Primer reviews the epidemiology, pathophysiology, diagnosis and treatment of cognitive impairment in Parkinson disease and describes the effects on patient quality of life and the future outlook for the field.

212 citations

01 Jan 2016
TL;DR: The essentials of statistics for the behavioral sciences is universally compatible with any devices to read and is set as public so you can get it instantly.
Abstract: essentials of statistics for the behavioral sciences is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the essentials of statistics for the behavioral sciences is universally compatible with any devices to read.

176 citations