Deconstructing the performance of everyday activities: a case in dementia

Background: The assessment of everyday functioning in dementia currently is very global and in most cases fails to provide an in-depth overview of specific areas of deficits. Every activity comprises different sub-tasks which may be impaired to different degrees. Performance of some sub-tasks might be maintained and could thus be the foundation for remaining independent for longer. Thus, the objective of this study was to explore the benefits of breaking down everyday activities into sub-tasks. Methods: A total of 183 family carers of people with mild dementia completed the revised Interview for Deteriorations in Daily Living Activities in Dementia 2 (R-IDDD2) rating their relative’s everyday functioning. Each of the 20 activities comprised three sub-tasks. Data were analysed using ANOVA with Bonferroni corrections, and sub-tasks were clustered in relation to different forms of cognition. Results: The majority of activities showed at least one major area of impairment. Sub-tasks could be clustered based on different types of cognition. Several sub-tasks had a focus on memory (forgetting it is time to do the cleaning; forgetting previously known telephone numbers), whereby short-term, long-term, and prospective memory could be distinguished further. Other sub-tasks were clustered into attention (getting more distracted when driving) and executive function (sorting out bills). Conclusions: The R-IDDD2 and its analysis of sub-task performance offers a novel platform to examine impairments comprehensively. This can help both in aiding timelier diagnosis by recognising subtle deficits, but also in care management planning, whereby family and paid carers should only care for those sub-tasks that are most impaired and thus encourage remaining independent for longer

The newly revised interview for deteriorations in daily living activities in dementia (R-IDDD2): distinguishing initiative from performance at assessment

Background: Minimal evidence exists on the detailed deficits in complex instrumental activities of daily living (IADLs) in mild dementia. The aim of this study was twofold, to validate a revised questionnaire focusing measuring the initiative and performance of IADLs in mild dementia and to explore the relationship between individual IADLs and patient and carer well-being. Methods: A total of 183 carers of people with mild dementia completed a further modified Revised Interview for Deterioration in Daily Living Activities 2 (R-IDDD2), which comprised new activities such as computer use, as well as sub-activities on the performance scale. Carers also completed questionnaires assessing patient quality of life (QoL-AD), carer quality of life (AC-QoL), and burden (GHQ-12). Results: Persons with dementia were significantly poorer initiating than performing cleaning, doing repair work, and preparing a hot or cold meal, whereas being poorer at performing dressing and following current affairs. Using the computer, preparing a hot meal, finance, and medication management were most impaired, whereas more basic activities of dressing, washing oneself, brushing hair or teeth, and preparing a hot drink were most preserved. Poor initiative and performance on nearly all activities were significantly related to reduced carer and patient well-being. Conclusions: The R-IDDD2 offers a platform to comprehensively assess everyday functioning. Deteriorations in initiative and performance need to be targeted separately in interventions, as the former requires effective triggering and the latter structured training and support. Most activities were significantly associated with well-being, particularly patient quality of life so that improving any activity should improve well-being

Socially impaired robots: Human social disorders and robots’ socio-emotional intelligence

© Springer International Publishing Switzerland 2014. Social robots need intelligence in order to safely coexist and interact with humans. Robots without functional abilities in understanding others and unable to empathise might be a societal risk and they may lead to a society of socially impaired robots. In this work we provide a survey of three relevant human social disorders, namely autism, psychopathy and schizophrenia, as a means to gain a better understanding of social robots’ future capability requirements.We provide evidence supporting the idea that social robots will require a combination of emotional intelligence and social intelligence, namely socio-emotional intelligence. We argue that a robot with a simple socio-emotional process requires a simulation-driven model of intelligence. Finally, we provide some critical guidelines for designing future socio-emotional robots

Alternative Strategies for Coping with Traffic Congestion

Traffic congestion is a disruptive fact of urban life. It inflicts delays and frustrations in virtually all major cities in the world, new or old, rich or poor. Although many countermeasures have been tried, it is hard to name a city in which there is much satisfaction with the existing state of affairs. About the only positive aspect of congestion is that it reflects the pulse of life, a demand for travel and trade that typically accompanies economic activity

Fire Modulates Climate Change Response of Simulated Aspen Distribution Across Topoclimatic Gradients in a Semi-Arid Montane Landscape

Content Changing aspen distribution in response to climate change and fire is a major focus of biodiversity conservation, yet little is known about the potential response of aspen to these two driving forces along topoclimatic gradients. Objective This study is set to evaluate how aspen distribution might shift in response to different climate-fire scenarios in a semi-arid montane landscape, and quantify the influence of fire regime along topoclimatic gradients. Methods We used a novel integration of a forest landscape succession and disturbance model (LAN DIS-II) with a fine-scale climatic water deficit approach to simulate dynamics of aspen and associated conifer and shrub species over the next 150 years under various climate-fire scenarios. Results Simulations suggest that many aspen stands could persist without fire for centuries under current climate conditions. However, a simulated 2–5ºC increase in temperature caused a substantial reduction of aspen coverage at lower elevations and a modest increase at upper elevations, leading to an overall reduction of aspen range at the landscape level. Increasing fire activity may favor aspen increase at its upper elevation limits adjacent to coniferous forest, but may also favor reduction of aspen at lower elevation limits adjacent to xeric shrubland. Conclusions Our study highlights the importance of incorporating fine-scale terrain effects on climatic water deficit and ecohydrology when modeling species distribution response to climate change. This modeling study suggests that climate mitigation and adaptation strategies that use fire would benefit from consideration of spatial context at landscape scales