Healthy Retirement – Active Ageing with Mobile Technology

When Professor Andrea Maier of the University of Melbourne visited us in June 2018 as part of our Artificial Intelligence in Healthcare Symposium, she was one of the stand-out presenters. Many participants emailed to ask that Professor Maier return to the North Coast to give an update on the PreventIt program.

Well…that time has come.

Join us at the UCRH Lismore camous for dinner and networking and hear the results from the PreventIt three-arm feasibility trial. Discover how mobile technology is enhancing fall prevention and boosting active ageing in Norway, the Netherlands and Germany. We’ll also hear from some of our more local programs aiming to make a difference to early year retirement and self-management health.

 

 

About PreventIT

The PreventIT personalised ICT based interventions have been designed to change behaviour, supporting older adults in the early stages of retirement to form long term physical activity habits at a point of major lifestyle change.

Based on the European Horizon 2020 Project, ‘PreventIT’ has adapted the Lifestyle-integrated Functional Exercise (LiFE) programme, which reduced falls in people 75 years and over (Clemson et al., 2012), for a younger cohort (aLiFE). The aLiFE programme incorporates more challenging strength and balance/agility tasks, as well as specific recommendations for increasing physical activity in the target group, aged 60-70 years.

Personalised advice is given on how to integrate strength, balance and physical activities into daily life, in a way which should not be time consuming. Participants plan and monitor their strength, balance and physical activities, with support from a trainer making home visits, using a paper-based manual.

aLiFE has been operationalised to be delivered using smartphones and smartwatches (eLiFE), providing the opportunity to send timely encouraging messages and real-time feedback to the user. Guidance and instruction is provided through videos and text within the PreventIT app and participants plan and monitor their strength, balance and physical activities using the app.

PreventIT has taken the original LiFE concept and further developed the behaviour change elements, explicitly relating and mapping them to Social Cognitive Theory (Schwarzer, 2008) and specific Behaviour Change Techniques (Michie et al., 2013). Goal setting, planning, prompts and real-time feedback are used to deliver a person-centred experience for participants in the intervention.

The PreventIT mHealth intervention (eLiFE) focusses on behaviour change from initiation to long-term maintenance, addressing the different phases of adopting a healthier lifestyle. As such, it makes a strong contribution to the developing field of evidence-based mHealth. The interventions (aLiFE and eLiFE) have been trialled in a three-arm feasibility randomised controlled trial in Norway, the Netherlands and Germany.

About Professor Andrea Maier

Professor Andrea Maier’s research is driven by her passion to unravel ageing mechanisms and the interaction of ageing and age-related syndromes and diseases, which eventually leads to counteracting interventions. Her research group particularly focuses on sarcopenia and cellular senescence and its influence on age related diseases.

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