1. Quantifying physical activity in older people to study healthy ageing, the GOTO study
- Author
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Paraschiakos, Stylianos, Knobbe, Arno, Slagboom, Eline, and Beekman, Marian
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humanities - Abstract
ICAMPAM 2021 Poster presentation: Quantifying activity to study healthy ageing landscape While, nowadays, people generally live longer, they are increasingly facing health issues, leading to a reduction in functionality and quality of life along with an increase in medical costs. Sedentary lifestyles among the elderly mount to 10 hrs inactivity per day. Hence combined caloric intake/physical activity interventions are applied to encourage the elderly to follow a more active and healthy lifestyle. These need to be carefully monitored. The Growing Old TOgether (GOTO) study introduces such an intervention, where a 13-weeks lifestyle program was applied, with a target of 12.5% caloric restriction and 12.5% increase in energy expenditure through an increase in physical activity, in 164 older adults (mean age=63.2 years; BMI=23-35 kg/m2). Quantifying the changes in physical behaviour is of utmost importance in order to investigate their effect on health gains. Using data from wrist and ankle activity accelerometers (wearables) and machine learning models, we were able to recognize the different activities performed and to report their frequencies and durations both in baseline and after the 13-weeks intervention. To quantify these observations, we built activity profiles that we intend to associate with changes in physiological parameters of health. References: [1] van de Rest et al. 2016. Metabolic effects of a 13-weeks lifestyle intervention in older adults: The Growing Old Together Study. Aging (Albany NY). DOI: https://doi.org/10.18632/aging.100877 [2] GOTOV Human Physical Activity and Energy Expenditure Dataset on Older Individuals, 4TU.ResearchData. Dataset. DOI: https://doi.org/10.4121/uuid:d3dd8165... [3] S.Paraschiakos et al. 2020. Activity recognition using wearable sensors for tracking the elderly. DOI: https://doi.org/10.1007/s11257-020-09... [4] S. Paraschiakos, et al. 2020 Preprint. RNNs on Monitoring Physical Activity Energy Expenditure in Older People. DOI: https://arxiv.org/abs/2006.01169
- Published
- 2021
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