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A Novel Score for Predicting Alzheimer’s Disease Risk from Late Life Psychopathological and Health Risk Factors

Author

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  • Javier Santabárbara

    (Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50001 Zaragoza, Spain
    Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50001 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Ministry of Science and Innovation, 28029 Madrid, Spain)

  • Juan Bueno-Notivol

    (Psychiatry Service, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain)

  • Darren M. Lipnicki

    (Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales Medicine, 2052 Randwick, Australia)

  • Concepción de la Cámara

    (Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50001 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Ministry of Science and Innovation, 28029 Madrid, Spain
    Psychiatry Service, Hospital Clínico Universitario Lozano Blesa, 50009 Zaragoza, Spain
    Department of Medicine and Psychiatry, Universidad de Zaragoza, 50001 Zaragoza, Spain)

  • Raúl López-Antón

    (Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50001 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Ministry of Science and Innovation, 28029 Madrid, Spain
    Department of Psychology and Sociology, Universidad de Zaragoza, 50001 Zaragoza, Spain)

  • Antonio Lobo

    (Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50001 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Ministry of Science and Innovation, 28029 Madrid, Spain
    Department of Medicine and Psychiatry, Universidad de Zaragoza, 50001 Zaragoza, Spain)

  • Patricia Gracia-García

    (Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50001 Zaragoza, Spain
    Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Ministry of Science and Innovation, 28029 Madrid, Spain
    Psychiatry Service, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
    Department of Medicine and Psychiatry, Universidad de Zaragoza, 50001 Zaragoza, Spain)

Abstract

With the increasing size of the aging population, dementia risk reduction has become a main public health concern. Dementia risk models or indices may help to identify individuals in the community at high risk to develop dementia. We have aimed to develop a novel dementia risk index focused on the late-life (65 years or more) population, that addresses risk factors for Alzheimer’s disease (AD) easily identifiable at primary care settings. These risk factors include some shown to be associated with the risk of AD but not featured in existing indices, such as hearing loss and anxiety. Our index is also the first to account for the competing risk of death. The Zaragoza Dementia and Depression Project (ZARADEMP) Alzheimer Dementia Risk Score predicts an individual´s risk of developing AD within 5 years. The probability of late onset AD significantly increases in those with risk scores between 21 and 28 and, furthermore, is almost 4-fold higher for those with risk scores of 29 or higher. Our index may provide a practical instrument to identify subjects at high risk of AD and to design preventive strategies targeting the contributing risk factors.

Suggested Citation

  • Javier Santabárbara & Juan Bueno-Notivol & Darren M. Lipnicki & Concepción de la Cámara & Raúl López-Antón & Antonio Lobo & Patricia Gracia-García, 2021. "A Novel Score for Predicting Alzheimer’s Disease Risk from Late Life Psychopathological and Health Risk Factors," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1802-:d:498387
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    References listed on IDEAS

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    1. Eugene Y H Tang & Stephanie L Harrison & Linda Errington & Mark F Gordon & Pieter Jelle Visser & Gerald Novak & Carole Dufouil & Carol Brayne & Louise Robinson & Lenore J Launer & Blossom C M Stephan, 2015. "Current Developments in Dementia Risk Prediction Modelling: An Updated Systematic Review," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-31, September.
    2. Elizabeth Ford & Nicholas Greenslade & Priya Paudyal & Stephen Bremner & Helen E Smith & Sube Banerjee & Shanu Sadhwani & Philip Rooney & Seb Oliver & Jackie Cassell, 2018. "Predicting dementia from primary care records: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-23, March.
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