Multi-Objective Optimization-Based Assist-as-Needed Controller for Improved Quality of Assistance in Rehabilitation Robotics.

Assist-as-needed (AAN) is a paradigm in rehabilitation robotics based on the fact that more active participation from human users promotes faster recovery of motor functions. Moreover, the patients and public engaged and involved in our research design stressed that in order to provide safe and patient-friendly assistance, rehabilitation robotics should be equipped with different constraints while giving minimal assistance where required. Most of the current constraint-based AAN methods are only capable of providing position or velocity constraints which limit the quality of assistance that the robotic systems could provide. In this paper, we propose a multi-objective optimization (MOO) based controller which can implement both linear and non-linear constraints to improve the quality of assistance. This MOO-based proposed controller includes not only position and velocity constraints but also a vibration constraint to subside the tremors common in rehabilitation patients. The performance of this controller is compared with a Barrier Lyapunov Function (BLF) based controller with task-space constraints in a simulation. The results indicate that the MOO-based controller behaves similarly to the BLF-based controller in terms of position constraints. It also shows that the MOO-based controller can improve the quality of assistance by constraining the velocity and subsiding the simulated tremors.

The key values and factors identified by older adults to promote physical activity and reduce sedentary behaviour using co-production approaches: a scoping review.

BACKGROUND: Inactivity and sedentary behaviour in older adults adversely impacts physical function, reduces social networks, and could contribute to population healthcare costs. To encourage and support the planning and uptake of physical activity by older adults, it is important to understand what physical activity means to older adults. Therefore, the aim of this scoping review was to collate what older adults have self-identified as the key factors for sustaining and increasing their physical activities. METHODS: Arksey and O'Malley's Scoping Review framework was used to guide the review process. SCOPUS, ASSIA, PsychINFO and MEDLINE databases were searched. Studies were eligible for inclusion if they were peer-reviewed, the target population were older adults (aged 55 and above), co-production related research approaches were explicitly stated in the methods and there was a focus on design of physical activity interventions or products to support or enhance physical activity. Assets and values important for physical activity were first extracted from included studies and were subsequently thematically analysed. Themes are presented to provide an overview of the literature synthesis. RESULTS: Sixteen papers were included in the analysis. Data from these papers were gathered via designing interventions or services (n = 8), products (n = 2), 'exergames' (n = 2) or mobile applications (n = 4). Outcomes were varied but common themes emerged across papers. Overarching themes identified by older adults were associated with a desire to increase activity when it was accessible, motivational, and safe. In addition, older adults want to enjoy their activities, want independence and representation, want to stay connected with families and friends, be outdoors, familiarity, activities to be tailored and resulting in measurable/observed progress. CONCLUSIONS: Population demographics, personal attributes, and life experiences all affect preferences for physical activity. However, the key factors identified by older adults for increasing physical activity were common-even in separate co-production contexts. To promote physical activities in older adults, activities must fundamentally feel safe, provide a sense of social connectedness, be enjoyable and be accessible in terms of cost and ability.

Quality of Life and Well-being of Carers of People With Dementia: Are There Differences Between Working and Nonworking Carers? Results From the IDEAL Program.

The aim of this study was to identify the differences in quality of life (QoL) and well-being between working and nonworking dementia carers and the relative contribution of psychological characteristics, caregiving experience, and social support. Multiple regressions modeled the contribution of working status, caregiver experiences, and psychological and social resources to carer QoL (EQ-5D) and well-being (WHO-5). After controlling for age, gender, carer-dyad relationship, and severity of dementia, working status contributed significant variance to EQ-5D (2%) but not to WHO-5 scores. Independent of working status, higher self-esteem and reduced stress contributed to variance in both models. Self-efficacy, social support, and positive perceptions of caregiving additionally contributed to higher WHO-5 scores. Working status associated with higher EQ-5D QoL; this may reflect the sustained sense of independence associated with supported work opportunities for carers. Outside of working status, the findings support the importance of psychological and social factors as targets to improved mental health for dementia carers.

Social networks and loneliness in people with Alzheimer's dementia.

OBJECTIVES: Modifiable lifestyle risk factors are of great interest in the prevention and management of Alzheimer's disease (AD). Loneliness and social networks may influence onset of AD, but little is known about this relationship in people with AD. The current study aimed to explore the relationship between loneliness and social networks (social measures) and cognitive and psychopathology decline (AD outcomes) in people with AD. METHODS: Ninety-three participants with mild to moderate AD were recruited from memory clinics, in a cross-sectional study. Social networks (measured by the Lubben Social Network Scale-6), feelings of loneliness (measured by De Jong Loneliness Scale), cognition (measured by the Standardized Mini-Mental State Examination), and psychopathology (measured by the Neuropsychiatric Inventory) were assessed in an interview setting. Two multiple regressions with bootstrap were conducted on cognition and psychopathology as outcome variables. Family and friends subsets of social networks and loneliness were entered as predictors and age, gender, and depression as covariates. RESULTS: The friendship subset of social networks was significantly related to cognition (independent of age, gender, depression, loneliness, and family subset of social network): B = 0.284, P = 0.01. Neither loneliness nor social networks predicted psychopathology (Ps > 0.05). CONCLUSIONS: Maintaining or developing a close friendship network could be beneficial for cognition in people with AD. Alternatively, greater dementia severity may lead to fewer friends. More research on the direction of this relationship in people with AD is needed.