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Activities of Daily Living - Top 30 Publications

Technologies for participatory medicine and health promotion in the elderly population.

The progressive aging of the population is a socio-demographic phenomenon experienced by most countries in the world in recent decades, especially in Japan and in many European Union countries. During this process, so-called "geriatric syndromes" frequently occur. The focus of this study is the quality of life of the elderly in relation to these 3 factors: risk of falls, urinary incontinence, and insomnia.

Comparison between subjective and objective evaluations of self-care performance in elderly inpatients.

Objetive To identify the functional status in self-care performance of elderly inpatients, through subjective and objective evaluations. Methods Fifty-five pairs of elderly and their respective caregivers of both sexes were submitted to subjective (self-rating and rating by caregivers) and objective assessment. The Performance Test of Activities of Daily Living and items in the Instrumental Activities of Daily Living scale were used. Functional status was rated 1 (unable to perform task), 2 (able to perform task with assistance) or 3 (able to perform task unassisted). The agreement rate among different self-rating and rating by caregivers, and objective assessment was calculated by dividing the number of identical responses by the total. Results Most elderly patients and caregivers were women (58.2% and 83.6%, respectively). The mean age was 80 years for elderly patients and 58.7 years for caregivers. Low schooling levels (1 to 4 years) prevailed among elderly patients (65.4%), while caregivers often had complete high education (32.7%). Functional status (FN=1, 2 and 3) varied between tasks, and the agreement rate between assessment methods ranged from 58 to 98.1%, particularly in comparisons involving objective assessment. Conclusion Self-reported data and data contributed by caregivers must be compared with performance data collected via objective assessment for a reliable appreciation of the true functional status of older adults.

Electronic Health Services in the Patients' Daily Activities - Willingness to Use Health Village Services.

Patients and citizens are experienced in Internet use. Earlier studies have suggest that citizens' interest in electronic healthcare services has increased, and there is a need of healthcare professionals to inform patients and their families about this new format and provide them with guidance. The purpose of this study was to find out how patients accept electronic healthcare services and determine their intention to use them based on their opinions of perceived usefulness and perceived ease of use. A survey (N=150) was carried out at a university hospital before electronic services (e-service) were implemented. Participants were motivated to monitor their wellness based on their previous experiences of using electronic services. Patients were confident about the effectiveness of e-service provision.

Factors influencing the impact of oral health on the daily activities of adolescents, adults and older adults.

Analyze if clinical, sociodemographic and access to dental services variables influence the impact of oral health on the daily activities of adolescents, adults and older adults.

Using Ontologies for the Online Recognition of Activities of Daily Living.

The recognition of activities of daily living is an important research area of interest in recent years. The process of activity recognition aims to recognize the actions of one or more people in a smart environment, in which a set of sensors has been deployed. Usually, all the events produced during each activity are taken into account to develop the classification models. However, the instant in which an activity started is unknown in a real environment. Therefore, only the most recent events are usually used. In this paper, we use statistics to determine the most appropriate length of that interval for each type of activity. In addition, we use ontologies to automatically generate features that serve as the input for the supervised learning algorithms that produce the classification model. The features are formed by combining the entities in the ontology, such as concepts and properties. The results obtained show a significant increase in the accuracy of the classification models generated with respect to the classical approach, in which only the state of the sensors is taken into account. Moreover, the results obtained in a simulation of a real environment under an event-based segmentation also show an improvement in most activities.

Evaluation of activities of daily living and related factors in community elderly people in urban and rural areas of Beijing.