This work package has been grouped into the following 3 parts:
UNDERSTAND: WP2.1 will address those mechanisms that influence SWB in the elderly. ESRs 1, 2, and 3 will focus on the background processes and affective mechanisms which impact SWB at the level of the elderly individual.
DEVELOP: WP2.2 will develop short term action and long-term strategic plans, including the building of infrastructure, for senior citizens to coping with mental stress.
ESRs 4, 5, and 6 will focus on
those care strategies for the short-term, including lifestyle interventions and promotions, to addressing the mental health needs of older people and implementation of longer-term activities, including the building of infrastructure, for senior citizens to coping with mental stress.
- ESR1 (TECO) will investigate physical activity, diet and sedentary behaviour using Ambulatory Assessments (AA) methodology and where data collected will be used to develop and test novel methods of intervention to positively impact upon SWB.
- ESR2 (PERC) will investigate how geriatric depression is associated with inflammation and immunity and to determine its aetiological basis. Geriatric depression occurs in the context of medical and neurological illnesses in which inflammatory processes are part of their pathogenesis. Both ageing and depression are associated with prolonged immune responses. Brain areas related to mood processing possess an increased inflammatory response during ageing. We aim to determine the levels of immune /inflammatory changes and how this relates to SWB and mental health outcome.
- ESR3 (LUMC) will study affective dynamics and implement dynamic networks that can model and reveal new insights into SWB research and projected clinical outcomes.
APPLY: WP2.3 will implement novel scientific and technological innovations, including strengthening of information systems, to supporting the elderly:
ESRs 7, 8, and 9 will aim to translate research into innovation and specially to implement new technologies such as mHealth applications to support SWB. This would include advanced AA applications for mobile architectures and wireless body area sensor networks (WBASN) to recognise movement and activity.
- ESR4 (LUMC) will address community needs to enable a framework that would facilitate good general health, social care, preventing disease and managing chronic illnesses. A strategy of training for health providers in working with issues and disorders related to ageing is therefore important and will be implemented. As equally important will be the need to provide care-givers with education, training and support.
- ESR5 (TUZVO) will address outdoor activities, enabling of natural environments and rural structures to provide opportunities to partake in physical activity. Research suggests that exposure to nature and time spent outdoors may also have effects on health. Older adults are the least active segment of our population and are likely to spend less time outdoors than other age groups. The relationship between time spent in physical activity, outdoor time and cognitive function will be assessed in older adults.
- ESR6 (TUZVO) will provide a plan for seniors with adequate, affordable, accessible, safe and secure housing to be based on consumer choice but also considering the need to maximise their independence. A framework for housing-specific information and support will also be put in place.
- ESR7 (NCAST) will look for an intelligent multi-sensor based personalized risk assessment system for elderly fall. Sensory data input will be derived where a device incorporated with accelerometer, magnetometer and gyroscope sensors will be placed into the insole of shoes, on the thighs and knees and one device will be placed at the back of ear for analysing gait pattern and fall detection.
- ESR8 (UN) will study on developing and improving the accuracy of an activity recognition system for elderly people in assisted living. Wearable sensors will be attached onto the dominant wrist and the ambient sensors will be installed in the environment. When a user performs daily activities at home, their location information will be captured and the information from the sensors will be transmitted to the processing centre.
- ESR9 (NCAST) will be involved in the implementation of a WBASN to support activity recognition and mental health in the elderly. A mhealth system using WBASN to support activity recognition will be built where guidelines and a demonstration will be provided for a complete end-to-end communication framework for WBASN.
- ESR10 (INNO) will further investigate the relation between food and wellbeing in elderly population. Modern trends in food are the decrease of meat consumption and more attention to fermented foods. Elderly as a group have specific demands that relate to decrease in taste sensation, loss of protein mass and modifications of gut microbiota. These are physiological markers that have a translation into wellbeing. With rise of life expectancy and the importance of maintaining an active lifestyle, attention to the balanced diets contribution in combination with exercise is needed.