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Multi-domain Model of Healthy Ageing: The Experience of the H2020 NESTORE Project

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 544)

Abstract

Ageing is a complex multidimensional and multifactorial process associated with the decline in multiple physiological systems which can lead to frailties and disabilities over the lifespan. With the aim of supporting healthy older adults in order to sustain their wellbeing and capacity to live independently, the NESTORE project was recently funded by the EU Commission. In order to take into account the complex interactions among different aspects involved in the ageing processes, a model of healthy ageing was developed in NESTORE. This model included three core dimensions related to older people wellbeing (Physical/Physiological, Nutritional, Cognitive/Mental/Social). The NESTORE model was intended to provide a structured arrangement of the knowledge coming from such different domains in order to provide a simplified pool of information for: (i) the characterization of the older adults, (ii) the personalization of the coaching plans and (iii) the implementation of an effective ICT system.

Keywords

  • Healthy ageing model
  • Multi-domain
  • NESTORE

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References

  1. European Commission: Active ageing and solidarity between generations—a statistical portrait of the European Union (Eurostat report 2012)

    Google Scholar 

  2. European Commission: Eurosat: population structure and ageing. http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Population_structure_and_ageing#Future_trends_in_population_ageing

  3. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K (2013) Frailty in elderly people. The Lancet 381(9868):752–762

    CrossRef  Google Scholar 

  4. Wagster MV, King JW, Resnick SM, Rapp PR (2012) The 87% guest editorial. J Gerontol A Biol Sci Med Sci. 67(7):739–740

    Google Scholar 

  5. NESTORE official web-site https://nestore.ro/home

  6. Carrino S, Caon M, Angelini L, Mugellini E, Khaled OA, Orte S, Vargiu E, Coulson N, Serrano JC, Tabozzi S, Lafortuna C, Rizzo G (2014) PEGASO: a personalized and motivational ICT system to empower adolescents towards healthy lifestyles. Innov Med Healthc

    Google Scholar 

  7. Sojic A, Terkaj W, Contini G, Sacco M (2016) Modularising ontology and designing inference patterns to personalise health condition assessment: the case of obesity. J Biomed Semant 7(1):12

    CrossRef  Google Scholar 

  8. Freund AM, Baltes PB (1998) Selection, optimization, and compensation as strategies of life management: correlations with subjective indicators of successful aging. Psychol Aging 13(4):531

    CrossRef  Google Scholar 

  9. Schwarzer R, Lippke S, Luszczynska A (2011) Mechanisms of health behavior change in persons with chronic illness or disability: the Health Action Process Approach (HAPA). Rehabil Psychol 56(3):161

    CrossRef  Google Scholar 

  10. Boss GR, Seegmiller JE (1981) Age-related physiological changes and their clinical significance. West J Med 135(6):434

    Google Scholar 

  11. Amarya S, Singh K, Sabharwal M (2015) Changes during aging and their association with malnutrition. J Clin Gerontol Geriatr 6(3):78–84

    CrossRef  Google Scholar 

  12. Geary DC (2005). The origin of mind: evolution of brain, cognition, and general intelligence. American Psychological Association

    Google Scholar 

  13. Rowe JW, Kahn RL (1997) Successful aging. The Gerontol 37(4):433–440

    CrossRef  Google Scholar 

  14. Charles ST, Carstensen LL (2010) Social and emotional aging. Annu Rev Psychol 61:383–409

    CrossRef  Google Scholar 

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Acknowledgements

NESTORE is co-funded by the European Commission under the H2020 program, GA769643. The authors wish to thank all partners involved in the WP2 activities of NESTORE. In particular, the authors desire to thank Antoni Salvà (Fundació Salut i Envelliment, Universitat Autònoma de Barcelona), Filippo Palumbo (Consiglio Nazionale delle Ricerche), Michele Girolami (Consiglio Nazionale delle Ricerche) and Martin Sykora (University of Loughborough, Centre for Information Management).

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Correspondence to Alfonso Mastropietro .

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Mastropietro, A. et al. (2019). Multi-domain Model of Healthy Ageing: The Experience of the H2020 NESTORE Project. In: Leone, A., Caroppo, A., Rescio, G., Diraco, G., Siciliano, P. (eds) Ambient Assisted Living. ForItAAL 2018. Lecture Notes in Electrical Engineering, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-030-05921-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-05921-7_2

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