An increase in emotional disturbances and complaints about cognitive performance has been observed in Latin American healthcare workers during the SARS-CoV-2 pandemic, which can affect attention capacity and increase the levels of stress and burnout of these professionals. The objective was to analyse subjective cognitive complaints (SCC) and associated factors in health personnel during the COVID-19 pandemic in five Latin American countries. Multicentre cross-sectional study, which included 3,738 professionals from Colombia, Chile, Argentina, Ecuador, Bolivia, and Peru. The Generalized Anxiety Disorder Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9) was used to assess depression, and the Mini-Z to assess Burnout. For the SCC, an item on cognitive concerns in attention and memory was used. The prevalence of cognitive complaints was 69.2%. The factors associated with a higher risk of SCC were the scores in the GAD-7, PHQ and Mini-Z, in addition to being part of the Ecuadorian health personnel. There is a high prevalence of SCC in health personnel, which is modulated by emotional states and stress.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444492 | PMC |
http://dx.doi.org/10.1016/j.rcp.2022.07.008 | DOI Listing |
J Nutr Health Aging
January 2025
The Center of Gerontology and Geriatrics and National Clinical Research Center of Geriatrics, West China Hospital, Sichuan University, China. Electronic address:
Objectives: Motor cognitive risk (MCR) syndrome, defined as the cooccurrence of subjective cognitive complaints and a slow gait speed, is a form of pre-dementia condition. Balance has previously been associated with cognitive function. However, to date, no study has examined the relationship between balance and MCR in a large cohort of older adults.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
Background: Amyloid beta (Aβ) deposition marks an early stage in the progression of Alzheimer's disease (AD), detectable in-vivo years before symptoms emerge and targeted by recently FDA-approved drugs. This has propelled advancements in understanding, measuring, and treating AD, paving the way for disease prevention in those at risk. However, the psychological impact of disclosing Aβ status to cognitively unimpaired individuals remains underexplored.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Neurology Department Infanta Leonor Hospital, Madrid, Spain.
Background: biomarkers are essential in order to make a diagnosis with a high level of accuracy in patients with cognitive and behavior complaints. However, molecular imaging biomarkers not always provide an answer in daily clinical practice.
Methods: retrospective and descriptive study in patients with Amyloid PET (APscans) implemented according to rational use of this technic, between January 2019-November 2023 in Neurology Department, Infanta Leonor Hospital, Madrid, Spain.
Background: This study aims at applying the AT(N) classification to a cohort of patients with Alzheimer's disease (AD) and related disorders, and to investigate how many cases would be eligible for the emerging disease-modifying treatments.
Method: We conducted a retrospective evaluation of 429 patients referred to the Memory Center of IRCCS San Raffaele Hospital in Milan. Patients underwent clinical/neuropsychological assessments, lumbar puncture, structural brain imaging, and positron emission tomography (FDG-PET).
Alzheimers Dement
December 2024
Sorbonne Université, Paris Brain Institute (ICM), INSERM, CNRS, UMR-1127, Mov'It, DreamTeam, Paris, France.
Background: Spectral power of slow rhythms in resting-state EEG increases along Alzheimer's disease (AD) continuum. Besides, recent studies have revealed 1) the importance of analyzing the aperiodic component of an EEG power spectrum and 2) the intrusions of sleep-like slow waves identifiable in wake EEG of animals and young adults. Importantly, the occurrence of these wake slow waves is known i) to increase after sleep deprivation, ii) to be associated with markers of sleepiness, and iii) to predict behavioral errors at different tasks.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!