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

  • Alfonso MastropietroEmail author
  • Christina Roecke
  • Simone Porcelli
  • Josep del Bas
  • Noemi Boquè
  • Laura Fernandez Maldonado
  • Giovanna Rizzo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 544)


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.


Healthy ageing model Multi-domain NESTORE 



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).


  1. 1.
    European Commission: Active ageing and solidarity between generations—a statistical portrait of the European Union (Eurostat report 2012)Google Scholar
  2. 2.
  3. 3.
    Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K (2013) Frailty in elderly people. The Lancet 381(9868):752–762CrossRefGoogle Scholar
  4. 4.
    Wagster MV, King JW, Resnick SM, Rapp PR (2012) The 87% guest editorial. J Gerontol A Biol Sci Med Sci. 67(7):739–740Google Scholar
  5. 5.
    NESTORE official web-site
  6. 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 HealthcGoogle Scholar
  7. 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):12CrossRefGoogle Scholar
  8. 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):531CrossRefGoogle Scholar
  9. 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):161CrossRefGoogle Scholar
  10. 10.
    Boss GR, Seegmiller JE (1981) Age-related physiological changes and their clinical significance. West J Med 135(6):434Google Scholar
  11. 11.
    Amarya S, Singh K, Sabharwal M (2015) Changes during aging and their association with malnutrition. J Clin Gerontol Geriatr 6(3):78–84CrossRefGoogle Scholar
  12. 12.
    Geary DC (2005). The origin of mind: evolution of brain, cognition, and general intelligence. American Psychological AssociationGoogle Scholar
  13. 13.
    Rowe JW, Kahn RL (1997) Successful aging. The Gerontol 37(4):433–440CrossRefGoogle Scholar
  14. 14.
    Charles ST, Carstensen LL (2010) Social and emotional aging. Annu Rev Psychol 61:383–409CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alfonso Mastropietro
    • 1
    Email author
  • Christina Roecke
    • 2
  • Simone Porcelli
    • 1
  • Josep del Bas
    • 3
  • Noemi Boquè
    • 3
  • Laura Fernandez Maldonado
    • 4
  • Giovanna Rizzo
    • 1
  1. 1.Istituto di Bioimmagini e Fisiologia Molecolare, Consiglio Nazionale delle RicercheSegrateItaly
  2. 2.University Research Priority Program “Dynamics of Healthy Aging”, University of ZurichZurichSwitzerland
  3. 3.Technological Unit of Nutrition and HealthEURECAT-Technological Center of CataloniaReusSpain
  4. 4.Institut de l’Envelliment, Universitat Autonoma de BarcelonaBarcelonaSpain

Personalised recommendations