84 resultados para activities of daily living


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The aim of the current study was to examine whether reaction time (RT) among older adults could be improved through video game training. Twenty-nine participants between the ages of 50 and 84 either played (N = 14) or did not play (N = 15) a video game, Pac-Man: Adventures in Time. All participants completed a pre- and postassessment of RT. Results from this study showed that there were no significant differences between the control and experimental groups on RT performance across time. These findings indicate that the amount of training provided may have been inadequate to improve RT skills. It is therefore important to investigate the amount of training required to allow older adults to respond faster to environmental stimuli and transfer skills to activities of daily living.

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 This thesis provides preliminary evidence as to the advantageous application of combined motor training and non-invasive brain stimulation, on movement and brain plasticity in older adults and chronic stroke patients. The findings from this thesis have clinical implications for improving activities of daily living in these populations.

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In the last 50 years, the number of individuals over the age of 65 years in the United States has doubled. A further doubling is expected by 2030, dramatically increasing the number of adults at risk of sarcopenia, a condition characterized by an age-related loss of muscle mass with an associated reduction in physical function. A reduction in muscle mass and functional capacity is typically viewed as an undesirable, yet inevitable, consequence of aging, and in its early stages, may be easily masked by subtle lifestyle adaptations. However, advanced sarcopenia is synonymous with physical frailty and is associated with an increased likelihood of falls and impairments in the ability to perform routine activities of daily living. In many instances, the progression of sarcopenia is mirrored by a decrease in physical activity, which feeds into a vicious cycle of disuse and negative outcomes, including impaired insulin action, accelerated loss of muscle and bone mass, fatigue, impaired motor control and functional capacity, and increased morbidity and mortality.

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This paper presents an intelligent clothing framework for human daily activity recognition using a single waist-worn tri-axial accelerometer sensor coupled with a robust pattern recognition system. The activity recognition algorithm is realized to distinguish six different physical activities through three major steps: acceleration signal collection/pre-processing, wavelet-based principle component analysis, and a support vector machine classifier. The proposed activity recognition method has been experimentally validated through two batches of trials with an overall mean classification accuracy of 95.25 and 94.87%, respectively. These results suggest that the intelligent clothing is not only able to learn the activity patterns but also capable of generalizing new data from both known and unknown subjects. This enables the proposed intelligent clothing to be applied in a comfortable and in situ assessment of human physical activities, which would open up new market segments to the textile industry.

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Since 1998, tele-rehabilitation has been extensively studied for its potential capacity of saving time and cost for both therapists and patients. However, one gap hindering the deployment of tele-rehabilitation service is the approach to evaluate the outcome after tele-rehabilitation exercises without the presence of professional clinicians. In this paper, we propose an approach to model jerky and jerky-free movement trajectories with hidden Markov models (HMMs). The HMMs are then utilised to identify the jerky characteristics in a motion trajectory, thereby providing the number and amplitude of jerky movements in the specific length of the trajectory. Eventually, the ability of performing functional upper extremity tasks can be evaluated by classifying the motion trajectory into one of the pre-defined ability levels by looking at the number and amplitude of jerky movements. The simulation experiment confirmed that the proposed method is able to correctly classify motion trajectories into various ability levels to a high degree.

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Objective Although the amount and frequency of child support payments received by single parents are often erratic and fluctuate, no study to date has quantitatively explored how the discrepancy between expected and actual payments relates to child health. This study aims to examine whether the discrepancy between expected and actual child support payments predicts a range of child health outcomes, including global health, health-related quality of life, involvement in activities and parental psychological distress.

Methods This study used results from the Longitudinal Study of Australian Children, which included a sample of parents of children aged 4–5 years (n = 4983). The questionnaire was completed by the parent who spent the most time with the child and knew the child best. From the 4983 families, 332 low-income single parents reliant on welfare with a formal or informal child support order in place were identified.

Results After controlling for income, the discrepancy between expected and actual child support predicted school functioning, conduct problems, total mental health problems and involvement in activities. Discrepancy between expected and actual child support payments did not predict the remaining health-related quality of life domains, mental health domains, global child health or parental psychosocial distress.

Conclusion This was the first study to examine how the discrepancy between expected and actual child support payments relates to child health, providing important data on the effectiveness of the child support system for children's well-being. These findings highlight the potential impact of the discrepancy on school functioning, conduct problems, total mental health problems and involvement in activities.

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Background Increasing children's participation in physical activity and decreasing time spent in sedentary behaviours is of great importance to public health. Despite living in disadvantaged neighbourhoods, some children manage to engage in health-promoting physical activity and avoid high levels of screen-based activities (i.e. watching TV, computer use and playing electronic games). Understanding how these children manage to do well and whether there are unique features of their home or neighbourhood that explain their success is important for informing strategies targeting less active and more sedentary children. The aim of this qualitative study was to gain in-depth insights from mothers regarding their child's resilience to low physical activity and high screen-time.

Methods Semi-structured face-to-face interviews were conducted with 38 mothers of children who lived in disadvantaged neighbourhoods in urban and rural areas of Victoria, Australia. The interviews were designed to gain in-depth insights about perceived individual, social and physical environmental factors influencing resilience to low physical activity and high screen-time.

Results Themes relating to physical activity that emerged from the interviews included: parental encouragement, support and modelling; sports culture in a rural town; the physical home and neighbourhood environment; child's individual personality; and dog ownership. Themes relating to screen-time behaviours encompassed: parental control; and child's individual preferences.

Conclusions The results offer important insights into potential avenues for developing ‘resilience’ and increasing physical activity and reducing screen-time among children living in disadvantaged neighbourhoods. In light of the negative effects of low physical activity and high levels of screen-time on children's health, this evidence is urgently needed.

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Inequalities in health and wellbeing within low socioeconomic (SES)  environments are well documented. Factors inherent to the health care system itself, such as inaccessible, inflexible or inappropriate seroiceprovision, contribute to the poorer health status ofresidents oflow SES areas. This paper explores the issues ofseroice provision in low SES areas, documenting the perceptions of seroice providers about the seroice needs of residents, in order to understand the systemic factors that negatively impact on health and wellbeing. A total of54 health and welfare seroice providers from two adjacent low SES suburbs within regional Victoria were interoiewed using qualitative research methods. Keyfindings indicate that successful navigation of health care seroices by residents within these low SES environments is being impeded by issues ofaccess, a lack ofappropriate early interoention options or measures, and general resident disempowerment. Central to the improvement of seroice provision is the need for seroices to become economically, geographically and culturally accessible. In particular, the importance of community involvement in health planning and health promoting seroices must be reflected in the ethos ofseroice provision.

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Public health decision makers, funders, practitioners, and the public are increasingly interested in the evidence that underpins public health decision making. Decisions in public health cover a vast range of activities. With the ever increasing global volume of primary research, knowledge and changes in thinking and approaches, quality systematic reviews of all the available research that is relevant to a particular practice or policy decision are an efficient way to synthesise and utilise research efforts. The Cochrane Collaboration includes an organised entity that aims to increase the quality and quantity of public health systematic reviews, through a range of activities. This paper aims to provide a glossary of the terms and activities related to public health and the Cochrane Collaboration.

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Background The purpose of this study was to identify individual characteristics associated with community integration of adults with an intellectual disability.

Method A group of 37 males with high support needs, and who had previously lived in a large institution, participated in the study. Using proxy respondents, data were collected on three measures of community integration, and on the participants' adaptive and maladaptive functioning. Chronological age and years of institutionalisation were also examined for their associations with community integration.

Results Level of daily living skills predicted life circumstances. There were no significant associations among the measures of community integration.

Conclusions The examination of the relationships between participant characteristics and community integration produced similar conclusions to previous research. Only daily living skills scores were uniquely associated with variations in life circumstances. Further research is required to determine whether these findings will be replicated with other cohorts of participants.