Search results for "EFA"

Psychometric Properties of the Brazilian Version of GOHAI among Community-Dwelling Elderly People

2022

This study assessed the psychometric properties of the Brazilian version of the Geriatric Oral Health Assessment Index (GOHAI). A representative sample of 613 community-dwelling elderly people aged from 65 to 74 years was selected. Sociodemographic data, GOHAI and self-perceived oral health measures were collected. Dental clinical measures were obtained through oral examinations. The dimensional structure and adequacy of components were assessed using Confirmatory Factor Analysis (CFA), inter-item correlations and item–scale correlations. Reliability was evaluated by internal consistency and Intraclass Correlation Coefficients. Correlations between GOHAI scores and self-reported oral …

Occupational cognitive complexity and episodic memory in old age

2021

The aim of this study was to investigate occupational cognitive complexity of main lifetime occupation in relation to level and 15-year change in episodic memory recall in a sample of older adults (≥ 65 years, n = 780). We used latent growth curve modelling with occupational cognitive complexity (O*NET indicators) as independent variable. Subgroup analyses in a sample of middle-aged (mean: 49.9 years) men (n = 260) were additionally performed to investigate if a general cognitive ability (g) factor at age 18 was predictive of future occupational cognitive complexity and cognitive performance in midlife. For the older sample, a higher level of occupational cognitive complexity was related to…

Ich war begeistert. Eine Lebensgeschichte. Uno schizzo biografico su Stefan Großmann (1875-1935) dalle pagine delle sue memorie

2007

Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi-task Learning and K-Space Motion Artefact Augmentation

2022

The movement of patients and respiratory motion during MRI acquisition produce image artefacts that reduce the image quality and its diagnostic value. Quality assessment of the images is essential to minimize segmentation errors and avoid wrong clinical decisions in the downstream tasks. In this paper, we propose automatic multi-task learning (MTL) based classification model to detect cardiac MR images with different levels of motion artefact. We also develop an automatic segmentation model that leverages k-space based motion artefact augmentation (MAA) and a novel compound loss that utilizes Dice loss with a polynomial version of cross-entropy loss (PolyLoss) to robustly segment cardiac st…

Adverse childhood experiences and impact on quality of life in adulthood: development and validation of a short difcult childhood questionnaire in a …

2021

Abstract Purpose A short adverse childhood experiences (ACEs) measure is needed with non-intrusive items that include subjective evaluations of childhood. We validated a short Difficult Childhood Questionnaire (DCQ) that assesses ACEs using personal perceptions of events. Methods The study relied on 2019 data from a representative survey (N = 28,047) in Norway. We examined the DCQ’s factor structure, internal consistency, and discriminant validity in a multi-group confirmatory factor analysis. As a group variable, we used whether the respondent had the ACE of parental alcohol use disorder (adult children of alcoholics; ACOA). To assess the DCQ’s convergent validity, we used latent regressio…

Quality of life and fear of COVID-19 in 2600 baccalaureate nursing students at five universities : a cross-sectional study

2021

Abstract Background The COVID-19 pandemic has caused significant disruptions in the implementation of programs across educational institutions. Nursing students, being both young adults and by practical training, part of the health care system, may be particularly vulnerable during the COVID-19 pandemic. The purpose of this study was to explore the associations between self-reported fear of COVID-19, general health, psychological distress and overall quality of life (QoL) in a sample of Norwegian baccalaureate nursing students compared to reference data. Methods The survey targeted baccalaureate nursing students from five universities in February 2021. An electronic questionnaire consisted …

Perceived family cohesion, social support, and quality of life in patients undergoing treatment for substance use disorders compared with patients wi…

2021

Abstract Purpose Support from family and other social network elements can be important in helping patients to cope with practical and emotional consequences of diseases. The aim of the study was to examine perception of family and social support and quality of life (QoL) in patients undergoing treatment for substance use disorders (SUDs). We compared them with patients in treatment for mental disorders (MDs) and physical disorders (PDs). Methods We used data from a national multicenter study that recruited patients (N  =  518) from three treatment domains; SUD treatment units, MD treatment units, and PD treatment units (severe neurological conditions or cancer). Data on family cohesion, so…

Erfaringer ved mindfulness som helsefremmende metode : en kvalitativ studie om kursdeltakeres erfaringer etter mindfulness retreat i Kenya

2016

Masteroppgave klinisk helsevitenskap ME520 - Universitetet i Agder 2016 Background The reason for the study was to look into mindfulness as health promotion method through Norwegian participants' experiences after mindfulness retreat in Kenya. Purpose and problem The purpose of this study is to examine the experiences participants are left with after mindfulness training in a salutogenic perspective. The problem I am asking is; "What experiences have Norwegian participants after mindfulness retreat in Kenya –light of health promotion and quality of life?" Method: design, selection and analysis I have used qualitative research methods. Data were collected in the form of participant observati…

Measurement and Modeling of the Origins of Starvation in Congestion Controlled Mesh Networks

2008

Significant progress has been made in understanding the behavior of TCP and congestion-controlled traffic over multi- hop wireless networks. Despite these advances, however, no prior work identified severe throughput imbalances in the basic scenario of mesh networks, in which one-hop flows contend with two-hop flows for gateway access. In this paper, we demonstrate via real network measurements, test-bed experiments, and an analytical model that starvation exists in such a scenario, i.e., the one-hop flow receives most of the bandwidth while the two- hop flow starves. Our analytical model yields a solution consisting of a simple contention window policy that can be implemented via mechanism…

Enterprise Knowledge Modeling, UML vs Ontology: Formal Evaluation

2019

International audience; Everyday activities in enterprises rely heavily on the experts' know-how. Due to experts departure, the loss of expertise and knowledge is a reoccurring problem in these enterprises. Recently, in order to capture experts knowledge into intelligent systems, formal knowledge representation methods, such as ontologies, are being studied and have caught up with non-formal or semi-formal representation, such as UML. The similarities and differences between UML class diagram and computational ontology have for long raised questions about the possibility of synthesizing them in a common representation (usually an ontology). Indeed, the problem of migrating knowledge encoded…