Stephanie J B Vos1, Martin P J van Boxtel1, Olga J G Schiepers1, Kay Deckers1, Marjolein de Vugt1, Isabelle Carrière2,3, Jean-François Dartigues4,5, Karine Peres4,5, Sylvaine Artero2,3, Karen Ritchie2,3,6, Lucia Galluzzo7, Emanuele Scafato7, Giovanni B Frisoni8,9, Martijn Huisman10,11, Hannie C Comijs12, Simona F Sacuiu13, Ingmar Skoog14, Kate Irving15, Catherine A O'Donnell16, Frans R J Verhey1, Pieter Jelle Visser1,17, Sebastian Köhler1. 1. Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands. 2. Inserm, U1061, Montpellier, France. 3. University Montpellier, U1061, Montpellier, France. 4. University Bordeaux, ISPED, Centre INSERM U1219 - Bordeaux Population Health Research Center, Bordeaux, France. 5. INSERM, ISPED, Centre INSERM U1219 - Bordeaux Population Health Research Center, Bordeaux, France. 6. Faculty of Medicine, Imperial College, London, UK. 7. Population Health and Health Determinants Unit, National Centre for Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy. 8. University Hospitals and University of Geneva, Geneva, Switzerland. 9. IRCCS Fatebenefratelli, Brescia, Italy. 10. Department of Epidemiology and Biostatistics and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands. 11. Department of Sociology, VU University, Amsterdam, The Netherlands. 12. Department Psychiatry and EMGO Institute for Health and Care Research VU University Medical Center, GGZinGeest, Amsterdam, The Netherlands. 13. Institute of Neuroscience and Physiology, Neuropsychiatric Epidemiology Unit, Sahlgrenska Academy, Sahlgrenska University Hospital, Sweden. 14. Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sweden. 15. School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland. 16. General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, UK. 17. Department of Neurology and Alzheimer Center, Neuroscience Campus, VU University Medical Center, Amsterdam, The Netherlands.
Abstract
BACKGROUND: Recently, the LIfestyle for BRAin health (LIBRA) index was developed to assess an individual's prevention potential for dementia. OBJECTIVE: We investigated the predictive validity of the LIBRA index for incident dementia in midlife, late life, and the oldest-old. METHODS: 9,387 non-demented individuals were recruited from the European population-based DESCRIPA study. An individual's LIBRA index was calculated solely based on modifiable risk factors: depression, diabetes, physical activity, hypertension, obesity, smoking, hypercholesterolemia, coronary heart disease, and mild/moderate alcohol use. Cox regression was used to test the predictive validity of LIBRA for dementia at follow-up (mean 7.2 y, range 1-16). RESULTS: In midlife (55-69 y, n = 3,256) and late life (70-79 y, n = 4,320), the risk for dementia increased with higher LIBRA scores. Individuals in the intermediate- and high-risk groups had a higher risk of dementia than those in the low-risk group. In the oldest-old (80-97 y, n = 1,811), higher LIBRA scores did not increase the risk for dementia. CONCLUSION: LIBRA might be a useful tool to identify individuals for primary prevention interventions of dementia in midlife, and maybe in late life, but not in the oldest-old.
BACKGROUND: Recently, the LIfestyle for BRAin health (LIBRA) index was developed to assess an individual's prevention potential for dementia. OBJECTIVE: We investigated the predictive validity of the LIBRA index for incident dementia in midlife, late life, and the oldest-old. METHODS: 9,387 non-demented individuals were recruited from the European population-based DESCRIPA study. An individual's LIBRA index was calculated solely based on modifiable risk factors: depression, diabetes, physical activity, hypertension, obesity, smoking, hypercholesterolemia, coronary heart disease, and mild/moderate alcohol use. Cox regression was used to test the predictive validity of LIBRA for dementia at follow-up (mean 7.2 y, range 1-16). RESULTS: In midlife (55-69 y, n = 3,256) and late life (70-79 y, n = 4,320), the risk for dementia increased with higher LIBRA scores. Individuals in the intermediate- and high-risk groups had a higher risk of dementia than those in the low-risk group. In the oldest-old (80-97 y, n = 1,811), higher LIBRA scores did not increase the risk for dementia. CONCLUSION:LIBRA might be a useful tool to identify individuals for primary prevention interventions of dementia in midlife, and maybe in late life, but not in the oldest-old.
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