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Ma Y, Wang N, Zhang H, Liang X, Fa W, Liu K, Liu C, Zhu M, Tian N, Tian X, Cong L, Laukka EJ, Wang Y, Hou T, Du Y, Qiu C. The lifestyle for brain health index, the cluster of differentiation 33 (CD33) gene, and cognitive function among rural Chinese older adults: A population-based study. Arch Gerontol Geriatr 2024; 125:105479. [PMID: 38768553 DOI: 10.1016/j.archger.2024.105479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 04/21/2024] [Accepted: 05/05/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND We sought to examine the associations of the Lifestyle for Brain Health (LIBRA) index with cognitive function among rural Chinese older adults and to explore the potential role of cluster of differentiation 33 gene (CD33) in the associations. METHODS This population-based cross-sectional study included 4914 dementia-free participants (age ≥60 years; 56.43 % women) in the 2018 baseline examination of MIND-China. The LIBRA index was generated from 11 factors. We used a neuropsychological test battery to assess episodic memory, verbal fluency, attention, executive function, and global cognition. The CD33(rs3865444) polymorphism was detected using multiple-polymerase chain reaction amplification. Data were analyzed using the general linear regression models. RESULTS A higher LIBRA index was associated with multivariable-adjusted β-coefficient (95 %CI) of -0.011(-0.020- -0.001) for global cognitive z-score, -0.020(-0.033- -0.006) for episodic memory, and -0.016(-0.029- -0.004) for verbal fluency. The CD33(rs3865444) was associated with a lower global cognitive z-score in the additive (CA vs. CC: β-coefficient=0.042; 95 %CI=0.008-0.077), the dominant (CA+AA vs. CC: 0.040; 0.007-0.073), and the over-dominant (CA vs. CC+AA: 0.043; 0.009-0.077) models. Similar results were obtained for verbal fluency and attention. The CD33 gene showed statistical interactions with LIBRA index on cognitive function (Pinteraction<0.05) such that a higher LIBRA index was significantly associated with lower z-scores of global cognition and attention only among CD33 CC carriers (P < 0.05). CONCLUSIONS This population-based study reveals for the first time that a higher LIBRA index is associated with worse cognitive performance in rural Chinese older adults and that CD33 gene could modify the association.
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Affiliation(s)
- Yixun Ma
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China
| | - Nan Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China
| | - Heng Zhang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Xiaoyan Liang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China
| | - Wenxin Fa
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Cuicui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Min Zhu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Na Tian
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Xunyao Tian
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China
| | - Erika J Laukka
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University 17165 Solna, Sweden
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China; Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University 17165 Solna, Sweden; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China.
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, PR China; Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong 250021, PR China; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China.
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, PR China; Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute and Stockholm University 17165 Solna, Sweden; Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, PR China
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Rosenau C, Köhler S, van Boxtel M, Tange H, Deckers K. Validation of the Updated "LIfestyle for BRAin health" (LIBRA) Index in the English Longitudinal Study of Ageing and Maastricht Aging Study. J Alzheimers Dis 2024:JAD240666. [PMID: 39302374 DOI: 10.3233/jad-240666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024]
Abstract
Background The "LIfestyle for BRAin health" (LIBRA) index was recently updated with three new modifiable factors: hearing impairment, social contact, and sleep (LIBRA2), but has not yet been validated. Objective Comparison of the performance of both LIBRA versions in predicting dementia risk. Methods Longitudinal data from the English Longitudinal Study of Ageing (ELSA) and the Maastricht Aging Study (MAAS) were used. The weighted LIBRA (11/12 factors available) and LIBRA2 (14/15 factors available) scores were calculated, with higher scores representing an unhealthier lifestyle. Dementia diagnoses were based on self- or informant reported physician diagnosis, an informant-based cognitive screening tool, registry data or test data. Cox-proportional hazards regression was used to investigate the association between LIBRA(2) scores and dementia risk. Model fit and predictive accuracy were determined using the Akaike information criterion and Harrell's C index. Results Over an average follow-up of 8.3 years in ELSA and 17.9 years in MAAS, 346 (4.6%) and 120 (8.5%) individuals developed dementia, respectively. In ELSA, a one-point increase in LIBRA2 was associated with an 8% (1.06-1.11) higher dementia risk (LIBRA: 13%, 1.09-1.16). In MAAS, a one-point increase in LIBRA2 was associated with a 6% (1.01-1.12) higher dementia risk (LIBRA: 8%, 0.99-1.16). In ELSA, LIBRA (Harrell's C = 0.68) and LIBRA2 (Harrell's C = 0.67) performed similarly. In MAAS, LIBRA2 (Harrell's C = 0.62) performed better compared to LIBRA (Harrell's C = 0.52). Conclusions LIBRA2 is a better model for identifying individuals at increased dementia risk and for public health initiatives aimed at dementia risk reduction.
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Affiliation(s)
- Colin Rosenau
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, Maastricht, The Netherlands
| | - Martin van Boxtel
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, Maastricht, The Netherlands
| | - Huibert Tange
- Care and Public Health Research Institute (CAPHRI), Department of Family Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, Maastricht, The Netherlands
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Zülke AE, Pabst A, Luppa M, Oey A, Weise S, Fankhänel T, Kosilek RP, Schillok H, Brettschneider C, Czock D, Wiese B, Thyrian JR, Hoffmann W, Frese T, Gensichen J, König H, Kaduszkiewicz H, Riedel‐Heller SG. Effects of a multidomain intervention against cognitive decline on dementia risk profiles - Results from the AgeWell.de trial. Alzheimers Dement 2024; 20:5684-5694. [PMID: 38967275 PMCID: PMC11350131 DOI: 10.1002/alz.14097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/10/2024] [Accepted: 05/29/2024] [Indexed: 07/06/2024]
Abstract
INTRODUCTION Dementia risk scores constitute promising surrogate outcomes for lifestyle interventions targeting cognitive function. We investigated whether dementia risk, assessed using the LIfestyle for BRAin health (LIBRA) index, was reduced by the AgeWell.de intervention. METHODS Secondary analyses of the AgeWell trial, testing a multicomponent intervention (including optimization of nutrition, medication, and physical, social, and cognitive activity) in older adults with increased dementia risk. We analyzed data from n = 461 participants with complete information on risk/protective factors comprised by LIBRA at the 24-month follow-up. Intervention effects on LIBRA and LIBRA components were assessed using generalized linear models. RESULTS The intervention reduced LIBRA scores, indicating decreased dementia risk at follow-up (b = -0.63, 95% confidence interval [CI]: -1.14, -0.12). Intervention effects were particularly due to improvements in diet (odds ratio [OR]: 1.60, 95% CI: 1.16, 2.22) and hypertension (OR: 1.61, 95% CI: 1.19, 2.18). DISCUSSION The AgeWell.de intervention reduced dementia risk. However, several risk factors did not improve, possibly requiring more intensive interventions. HIGHLIGHTS The AgeWell.de intervention reduced dementia risk according to LIfestyle for BRAin health (LIBRA) scores. Beneficial effects on LIBRA are mainly due to changes in diet and blood pressure. A pragmatic lifestyle intervention is apt to reduce dementia risk in an at-risk population.
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Affiliation(s)
- Andrea E. Zülke
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Melanie Luppa
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Anke Oey
- State Health Department of Lower SaxonyHannoverGermany
| | - Solveig Weise
- Institute of General Practice and Family MedicineMartin‐Luther‐University Halle‐WittenbergHalle (Saale)Germany
| | - Thomas Fankhänel
- Institute of General Practice and Family MedicineMartin‐Luther‐University Halle‐WittenbergHalle (Saale)Germany
| | - Robert P. Kosilek
- Institute of General Practice and Family MedicineUniversity Hospital LMU MunichMunichGermany
| | - Hannah Schillok
- Institute of General Practice and Family MedicineUniversity Hospital LMU MunichMunichGermany
| | - Christian Brettschneider
- Department of Health Economics and Health Service ResearchUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - David Czock
- Department of Clinical Pharmacology and PharmacoepidemiologyHeidelberg University HospitalHeidelbergGermany
| | - Birgitt Wiese
- MHH Information Technology–Science & LaboratoryHannover Medical SchoolHannoverGermany
| | - Jochen René Thyrian
- German Centre for Neurodegenerative Diseases (DZNE)GreifswaldGermany
- Institute for Community MedicineUniversity Medicine Greifswald (UMG)GreifswaldGermany
- Faculty V: School of Life SciencesUniversity of SiegenSiegenGermany
| | - Wolfgang Hoffmann
- German Centre for Neurodegenerative Diseases (DZNE)GreifswaldGermany
- Institute for Community MedicineUniversity Medicine Greifswald (UMG)GreifswaldGermany
| | - Thomas Frese
- Institute of General Practice and Family MedicineMartin‐Luther‐University Halle‐WittenbergHalle (Saale)Germany
| | - Jochen Gensichen
- Institute of General Practice and Family MedicineUniversity Hospital LMU MunichMunichGermany
| | - Hans‐Helmut König
- Department of Health Economics and Health Service ResearchUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | | | - Steffi G. Riedel‐Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
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Deckers K, Zwan MD, Soons LM, Waterink L, Beers S, van Houdt S, Stiensma B, Kwant JZ, Wimmers SCPM, Heutz RAM, Claassen JAHR, Oosterman JM, de Heus RAA, van de Rest O, Vermeiren Y, Voshaar RCO, Smidt N, Broersen LM, Sikkes SAM, Aarts E, Köhler S, van der Flier WM. A multidomain lifestyle intervention to maintain optimal cognitive functioning in Dutch older adults-study design and baseline characteristics of the FINGER-NL randomized controlled trial. Alzheimers Res Ther 2024; 16:126. [PMID: 38872204 PMCID: PMC11170777 DOI: 10.1186/s13195-024-01495-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Evidence on the effectiveness of multidomain lifestyle interventions to prevent cognitive decline in older people without dementia is mixed. Embedded in the World-Wide FINGERS initiative, FINGER-NL aims to investigate the effectiveness of a 2-year multidomain lifestyle intervention on cognitive functioning in older Dutch at risk individuals. METHODS Multi-center, randomized, controlled, multidomain lifestyle intervention trial with a duration of 24 months. 1210 adults between 60-79 years old with presence of ≥ 2 modifiable risk factors and ≥ 1 non-modifiable risk factor for cognitive decline were recruited between January 2022 and May 2023 via the Dutch Brain Research Registry and across five study sites in the Netherlands. Participants were randomized to either a high-intensity or a low-intensity intervention group. The multidomain intervention comprises a combination of 7 lifestyle components (physical activity, cognitive training, cardiovascular risk factor management, nutritional counseling, sleep counseling, stress management, and social activities) and 1 nutritional product (Souvenaid®) that could help maintain cognitive functioning. The high-intensity intervention group receives a personalized, supervised and hybrid intervention consisting of group meetings (on-site and online) and individual sessions guided by a trained lifestyle coach, and access to a digital intervention platform that provides custom-made training materials and selected lifestyle apps. The low-intensity intervention group receives bi-monthly online lifestyle-related health advice via the digital intervention platform. Primary outcome is 2-year change on a cognitive composite score covering processing speed, executive function, and memory. RESULTS Within 17 months, participant recruitment has been successfully completed (N = 1210; mean age: 67.7 years (SD: 4.6); 64% female). Modifiable risk factors commonly present at baseline were physical inactivity (89%), low mental/cognitive activity (50%), low social engagement (39%), hypertension (39%) and high alcohol consumption (39%). The mean body mass index of participants was 28.3 (SD: 4.2) and the total serum cholesterol was 5.4 mmol/L (SD: 1.2). CONCLUSIONS Baseline lifestyle and clinical measurements showed successful recruitment of participants with sufficient potential for prevention. Results of FINGER-NL will provide further insight into the efficacy of a multidomain lifestyle intervention to prevent cognitive decline in older adults. TRIAL REGISTRATION ClinicalTrials.gov (ID: NCT05256199)/2022-01-11.
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Affiliation(s)
- Kay Deckers
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Lion M Soons
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Lisa Waterink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Sonja Beers
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Sofie van Houdt
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
- HAN University of Applied Sciences, Nijmegen, The Netherlands
| | - Berrit Stiensma
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Judy Z Kwant
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sophie C P M Wimmers
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Rachel A M Heutz
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - Jurgen A H R Claassen
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Department of Cardiovascular Sciences, Leicester University, Leicester, UK
| | - Joukje M Oosterman
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Rianne A A de Heus
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ondine van de Rest
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Yannick Vermeiren
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Richard C Oude Voshaar
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nynke Smidt
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Clinical, Neuro and Developmental Psychology, VU University, Amsterdam, The Netherlands
| | - Esther Aarts
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology & Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
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Neuffer J, Wagner M, Moreno E, Le Grand Q, Mishra A, Trégouët D, Leffondre K, Proust‐Lima C, Foubert‐Samier A, Berr C, Tzourio C, Helmer C, Debette S, Samieri C. Association of LIfestyle for BRAin health risk score (LIBRA) and genetic susceptibility with incident dementia and cognitive decline. Alzheimers Dement 2024; 20:4250-4259. [PMID: 38775256 PMCID: PMC11180843 DOI: 10.1002/alz.13801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/16/2024] [Accepted: 02/26/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION Evaluating whether genetic susceptibility modifies the impact of lifestyle-related factors on dementia is critical for prevention. METHODS We studied 5170 participants from a French cohort of older persons free of dementia at baseline and followed for up to 17 years. The LIfestyle for BRAin health risk score (LIBRA) including 12 modifiable factors was constructed at baseline (higher score indicating greater risk) and was related to both subsequent cognitive decline and dementia incidence, according to genetic susceptibility to dementia (reflected by the apolipoprotein E [APOE] ε4 allele and a genetic risk score [GRS]). RESULTS The LIBRA was associated with higher dementia incidence, with no significant effect modification by genetics (hazard ratio for one point score = 1.09 [95% confidence interval, 1.05; 1.13]) in APOE ε4 non-carriers and = 1.15 [1.08; 1.22] in carriers; P = 0.15 for interaction). Similar findings were obtained with the GRS and with cognitive decline. DISCUSSION Lifestyle-based prevention may be effective whatever the genetic susceptibility to dementia.
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Affiliation(s)
- Jeanne Neuffer
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | - Maude Wagner
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicagoIllinoisUSA
| | - Elisa Moreno
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | - Quentin Le Grand
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | - Aniket Mishra
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | | | - Karen Leffondre
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
- Clinical and Epidemiological Research UnitINSERM CIC1401BordeauxFrance
| | - Cécile Proust‐Lima
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | | | - Claudine Berr
- University of Montpellier, INSERM, Institute for Neurosciences of Montpellier (INM)MontpellierFrance
| | - Christophe Tzourio
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | - Catherine Helmer
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
- Clinical and Epidemiological Research UnitINSERM CIC1401BordeauxFrance
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
| | - Cécilia Samieri
- Bordeaux Population Health Research Center, INSERMUniversity of BordeauxBordeauxFrance
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DeJong NR, Jansen JFA, van Boxtel MPJ, Schram MT, Stehouwer CDA, van Greevenbroek MMJ, van der Kallen CJH, Koster A, Eussen SJPM, de Galan BE, Backes WH, Köhler S. Brain structure and connectivity mediate the association between lifestyle and cognition: The Maastricht Study. Brain Commun 2024; 6:fcae171. [PMID: 38846531 PMCID: PMC11154141 DOI: 10.1093/braincomms/fcae171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/12/2024] [Accepted: 05/15/2024] [Indexed: 06/09/2024] Open
Abstract
Life-course exposure to risk and protective factors impacts brain macro- and micro-structure, which in turn affects cognition. The concept of brain-age gap assesses brain health by comparing an individual's neuroimaging-based predicted age with their calendar age. A higher BAG implies accelerated brain ageing and is expected to be associated with worse cognition. In this study, we comprehensively modelled mutual associations between brain health and lifestyle factors, brain age and cognition in a large, middle-aged population. For this study, cognitive test scores, lifestyle and 3T MRI data for n = 4881 participants [mean age (± SD) = 59.2 (±8.6), 50.1% male] were available from The Maastricht Study, a population-based cohort study with extensive phenotyping. Whole-brain volumes (grey matter, cerebrospinal fluid and white matter hyperintensity), cerebral microbleeds and structural white matter connectivity were calculated. Lifestyle factors were combined into an adapted LIfestyle for BRAin health weighted sum score, with higher score indicating greater dementia risk. Cognition was calculated by averaging z-scores across three cognitive domains (memory, information processing speed and executive function and attention). Brain-age gap was calculated by comparing calendar age to predictions from a neuroimaging-based multivariable regression model. Paths between LIfestyle for BRAin health tertiles, brain-age gap and cognitive function were tested using linear regression and structural equation modelling, adjusting for sociodemographic and clinical confounders. The results show that cerebrospinal fluid, grey matter, white matter hyperintensity and cerebral microbleeds best predicted brain-age gap (R 2 = 0.455, root mean squared error = 6.44). In regression analysis, higher LIfestyle for BRAin health scores (greater dementia risk) were associated with higher brain-age gap (standardized regression coefficient β = 0.126, P < 0.001) and worse cognition (β = -0.046, P = 0.013), while higher brain-age gap was associated with worse cognition (β=-0.163, P < 0.001). In mediation analysis, 24.7% of the total difference in cognition between the highest and lowest LIfestyle for BRAin health tertile was mediated by brain-age gap (β indirect = -0.049, P < 0.001; β total = -0.198, P < 0.001) and an additional 3.8% was mediated via connectivity (β indirect = -0.006, P < 0.001; β total = -0.150, P < 0.001). Findings suggest that associations between health- and lifestyle-based risk/protective factors (LIfestyle for BRAin health) and cognition can be partially explained by structural brain health markers (brain-age gap) and white matter connectivity markers. Lifestyle interventions targeted at high-risk individuals in mid-to-late life may be effective in promoting and preserving cognitive function in the general public.
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Affiliation(s)
- Nathan R DeJong
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands
- Alzheimer Centrum Limburg, Maastricht University Medical Center+, 6229 ET Maastricht, The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Jacobus F A Jansen
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands
| | - Martin P J van Boxtel
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Alzheimer Centrum Limburg, Maastricht University Medical Center+, 6229 ET Maastricht, The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Miranda T Schram
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
- Maastricht Heart & Vascular Center, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Coen D A Stehouwer
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Marleen M J van Greevenbroek
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Carla J H van der Kallen
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Annemarie Koster
- Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Social Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 GT Maastricht, The Netherlands
| | - Simone J P M Eussen
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Faculty of Health, Medicine and Life Sciences, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Epidemiology, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
| | - Bastiaan E de Galan
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Internal Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
- Department of Internal Medicine, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands
| | - Walter H Backes
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands
- Faculty of Health, Medicine and Life Sciences, School for Cardiovascular Diseases (CARIM), Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Sebastian Köhler
- Faculty of Health, Medicine and Life Sciences, School for Mental Health & Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands
- Alzheimer Centrum Limburg, Maastricht University Medical Center+, 6229 ET Maastricht, The Netherlands
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Hall A, Barbera M, Lehtisalo J, Antikainen R, Huque H, Laatikainen T, Ngandu T, Soininen H, Stephen R, Strandberg T, Kivipelto M, Anstey KJ, Solomon A. The Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) score as a predictor for cognitive decline and potential surrogate outcome in the FINGER lifestyle randomized controlled trial. Eur J Neurol 2024; 31:e16238. [PMID: 38323508 PMCID: PMC11235774 DOI: 10.1111/ene.16238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/22/2024] [Accepted: 01/25/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND AND PURPOSE The complex aetiology of Alzheimer's disease suggests prevention potential. Risk scores have potential as risk stratification tools and surrogate outcomes in multimodal interventions targeting specific at-risk populations. The Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) was tested in relation to cognition and its suitability as a surrogate outcome in a multidomain lifestyle randomized controlled trial, in older adults at risk of dementia. METHODS In this post hoc analysis of the Finnish Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), ANU-ADRI was calculated at baseline, 12, and 24 months (n = 1174). The association between ANU-ADRI and cognition (at baseline and over time), the intervention effect on changes in ANU-ADRI, and the potential impact of baseline ANU-ADRI on the intervention effect on changes in cognition were assessed using linear mixed models with maximum likelihood estimation. RESULTS A higher ANU-ADRI was significantly related to worse cognition, at baseline (e.g., estimate for global cognition [95% confidence interval] was -0.028 [-0.032 to -0.025]) and over the 2-year study (e.g., estimate for 2-year changes in ANU-ADRI and per-year changes in global cognition [95% confidence interval] was -0.068 [-0.026 to -0.108]). No significant beneficial intervention effect was reported for ANU-ADRI, and baseline ANU-ADRI did not significantly affect the response to the intervention on changes in cognition. CONCLUSIONS The ANU-ADRI was effective for the risk prediction of cognitive decline. Risk scores may be crucial for the success of novel dementia prevention strategies, but their algorithm, the target population, and the intervention design should be carefully considered when choosing the appropriate tool for each context.
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Affiliation(s)
- Anette Hall
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
| | - Jenni Lehtisalo
- Population Health Unit, Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
| | - Riitta Antikainen
- Center for Life Course Health Research/GeriatricsUniversity of OuluOuluFinland
- Medical Research CenterOulu University HospitalOuluFinland
| | - Hamidul Huque
- School of PsychologyUniversity of New South Wales, SydneySydneyNew South WalesAustralia
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
| | - Tiina Laatikainen
- Population Health Unit, Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandKuopioFinland
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Population Health Unit, Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Neurocenter Finland, Department of NeurologyKuopio University HospitalKuopioFinland
| | - Ruth Stephen
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Population Health Unit, Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
| | - Timo Strandberg
- University of Helsinki and Helsinki University HospitalHelsinkiFinland
- Center for Life Course Health ResearchUniversity of OuluOuluFinland
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandKuopioFinland
- Theme Inflammation and AgingKarolinska university hospitalStockholmSweden
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South Wales, SydneySydneyNew South WalesAustralia
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
| | - Alina Solomon
- Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Ageing Epidemiology Research Unit, School of Public HealthImperial College LondonLondonUK
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Soons LM, Deckers K, Tange H, van Boxtel MPJ, Köhler S. Cognitive change in prevalent and incident hearing loss: The Maastricht Aging Study. Alzheimers Dement 2024; 20:2102-2112. [PMID: 38236753 PMCID: PMC10984489 DOI: 10.1002/alz.13606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/31/2023] [Accepted: 11/13/2023] [Indexed: 03/16/2024]
Abstract
INTRODUCTION Hearing loss (HL) has been associated with cognitive decline and dementia. We examined the temporal association between prevalent and incident HL and cognitive change. METHODS A total of 1823 participants (24-82 years) from the Maastricht Aging Study (MAAS) were assessed at baseline, 6 and 12 years, including pure-tone audiometry. Linear-mixed models were used to test the association between HL and cognition, adjusted for demographics and other dementia risk factors. RESULTS Participants with prevalent and incident HL showed a faster decline in verbal memory, information processing speed, and executive function than participants without HL. Decline was steady from baseline to 6 and 12 years for prevalent HL, but time-delayed from 6 to 12 years for incident HL. Having a hearing aid did not change associations. DISCUSSION Findings support the notion that HL is a risk factor for cognitive decline independent of other dementia risk factors. Onset of HL preceded onset of cognitive decline. HIGHLIGHTS We examined cognitive change in prevalent and incident hearing loss. Prevalent and incident hearing loss were associated with faster cognitive decline. For prevalent hearing loss, decline was steady from baseline to 6 and 12 years. Onset of hearing loss preceded the onset of cognitive decline. Having a hearing aid did not change the observed associations.
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Affiliation(s)
- Lion M. Soons
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtThe Netherlands
| | - Kay Deckers
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtThe Netherlands
| | - Huibert Tange
- Care and Public Health Research Institute (CAPHRI)Department of Family MedicineFaculty of HealthMedicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - Martin P. J. van Boxtel
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtThe Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtThe Netherlands
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9
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Rosenau C, Köhler S, Soons LM, Anstey KJ, Brayne C, Brodaty H, Engedal K, Farina FR, Ganguli M, Livingston G, Lyketsos CG, Mangialasche F, Middleton LE, Rikkert MGMO, Peters R, Sachdev PS, Scarmeas N, Salbæk G, van Boxtel MPJ, Deckers K. Umbrella review and Delphi study on modifiable factors for dementia risk reduction. Alzheimers Dement 2024; 20:2223-2239. [PMID: 38159267 PMCID: PMC10984497 DOI: 10.1002/alz.13577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 01/03/2024]
Abstract
A 2013 systematic review and Delphi consensus study identified 12 modifiable risk and protective factors for dementia, which were subsequently merged into the "LIfestyle for BRAin health" (LIBRA) score. We systematically evaluated whether LIBRA requires revision based on new evidence. To identify modifiable risk and protective factors suitable for dementia risk reduction, we combined an umbrella review of systematic reviews and meta-analyses with a two-round Delphi consensus study. The review of 608 unique primary studies and opinions of 18 experts prioritized six modifiable factors: hearing impairment, social contact, sleep, life course inequalities, atrial fibrillation, and psychological stress. Based on expert ranking, hearing impairment, social contact, and sleep were considered the most suitable candidates for inclusion in updated dementia risk scores. As such, the current study shows that dementia risk scores need systematic updates based on emerging evidence. Future studies will validate the updated LIBRA score in different cohorts. HIGHLIGHTS: An umbrella review was combined with opinions of 18 dementia experts. Various candidate targets for dementia risk reduction were identified. Experts prioritized hearing impairment, social contact, and sleep. Re-assessment of dementia risk scores is encouraged. Future work should evaluate the predictive validity of updated risk scores.
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Affiliation(s)
- Colin Rosenau
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Lion M. Soons
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South WalesKensingtonNew South WalesAustralia
- Neuroscience Research Australia (NeuRA)SydneyNew South WalesAustralia
- UNSW Ageing Futures InstituteKensingtonNew South WalesAustralia
| | - Carol Brayne
- Cambridge Public HealthUniversity of CambridgeCambridgeUK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Knut Engedal
- Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
| | - Francesca R. Farina
- Feinberg School of MedicineDepartment of Medical Social SciencesNorthwestern UniversityChicagoIllinoisUSA
| | - Mary Ganguli
- Departments of PsychiatryNeurologyand EpidemiologySchool of Medicine and School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Constantine G. Lyketsos
- Richman Family Precision Medicine Center of Excellence in Alzheimer's DiseaseJohns Hopkins BayviewJohns Hopkins MedicineBaltimoreMarylandUSA
| | - Francesca Mangialasche
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and AgingMedical Unit AgingKarolinska University HospitalStockholmSweden
| | - Laura E. Middleton
- Department of Kinesiology and Health SciencesUniversity of WaterlooWaterlooOntarioCanada
- Schlegel‐UW Research Institute for AgingWaterlooOntarioCanada
| | - Marcel G. M. Olde Rikkert
- Department of Geriatric MedicineRadboud University Medical CenterNijmegenthe Netherlands
- Radboudumc Alzheimer CenterDonders Center of Medical NeurosciencesNijmegenthe Netherlands
| | - Ruth Peters
- UNSW Ageing Futures InstituteKensingtonNew South WalesAustralia
- The George Institute for Global HealthNewtownNew South WalesAustralia
- School of Biomedical SciencesUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nikolaos Scarmeas
- 1st Department of NeurologyAiginition HospitalNational and Kapodistrian University of Athens Medical SchoolAthensGreece
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
| | - Geir Salbæk
- Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Martin P. J. van Boxtel
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Kay Deckers
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
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Paauw D, Heger I, Bjerre JF, Ringgaard MF, Stensgård V, Horstkötter D, Köhler S, Deckers K. Increasing awareness for dementia risk reduction through a public awareness campaign in Denmark: A pre-post study. Prev Med 2024; 179:107848. [PMID: 38215992 DOI: 10.1016/j.ypmed.2024.107848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 01/14/2024]
Abstract
OBJECTIVE It is estimated that about 40% of all dementia cases are potentially attributable to modifiable risk factors, but awareness of this is relatively lacking. METHODS An 18-months nation-wide public awareness campaign on dementia risk reduction was rolled out in Denmark that combined a mass-media approach with an online risk assessment tool and knowledge bank targeting all inhabitants aged between 40 and 75 years. Campaign effects (increase in awareness and knowledge of modifiable dementia risk and protective factors) were assessed via online surveys in two independent random samples before (n = 1003) and after the campaign (n = 1076). RESULTS After adjusting for differences in educational level between the two samples, there was no significant difference in awareness of dementia risk reduction between the pre-campaign (66.5% aware) and post-campaign (63.4% aware) sample (probit z = -0.08, p = 0.151). The number of correctly identified risk/protective factors was significantly higher in the post-campaign sample. After adjusting for potential confounding factors, self-reported exposure to the campaign was associated with more awareness, better recognition of risk/protective factors, more motivation for and actual implementation of lifestyle changes. CONCLUSIONS This mass-media campaign did not increase overall awareness that dementia risk is partly modifiable. However, exposure to the campaign was associated with more awareness and willingness to take action to improve brain health. Future campaigns should tailor messages to specific subgroups to broaden the reach (e.g., males), co-create materials with the target group, and give special attention to the contribution of metabolic/cardiovascular risk factors to dementia risk.
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Affiliation(s)
- Dominique Paauw
- Alzheimer Centre Limburg, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands
| | - Irene Heger
- Alzheimer Centre Limburg, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands
| | | | | | | | - Dorothee Horstkötter
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands; Department of Health Ethics and Society, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Alzheimer Centre Limburg, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands
| | - Kay Deckers
- Alzheimer Centre Limburg, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands.
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11
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Bruinsma J, Loukas VS, Kassiotis T, Heger I, Rosenberg A, Visser LNC, Mangialasche F, Fotiadis DI, Hanke S, Crutzen R. Socio-Cognitive Determinants of Lifestyle Behavior in the Context of Dementia Risk Reduction: A Population-Based Study in the Netherlands. J Alzheimers Dis 2024; 99:941-952. [PMID: 38759007 PMCID: PMC11191482 DOI: 10.3233/jad-231369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/27/2024] [Indexed: 05/19/2024]
Abstract
Background Unhealthy behavior increases the risk of dementia. Various socio-cognitive determinants influence whether individuals persist in or alter these unhealthy behaviors. Objective This study identifies relevant determinants of behavior associated to dementia risk. Methods 4,104 Dutch individuals (40-79 years) completed a screening questionnaire exploring lifestyle behaviors associated with dementia risk. Subsequently, 3,065 respondents who engaged in one or more unhealthy behaviors completed a follow-up questionnaire investigating socio-cognitive determinants of these behaviors. Cross-tables were used to assess the accuracy of participants' perceptions regarding their behavior compared to recommendations. Confidence Interval-Based Estimation of Relevance (CIBER) was used to identify the most relevant determinants of behavior based on visual inspection and interpretation. Results Among the respondents, 91.3% reported at least one, while 65% reported two or more unhealthy lifestyle behaviors associated to dementia risk. Many of them were not aware they did not adhere to lifestyle recommendations. The most relevant determinants identified include attitudes (i.e., lacking a passion for cooking and finding pleasure in drinking alcohol or smoking), misperceptions on social comparisons (i.e., overestimating healthy diet intake and underestimating alcohol intake), and low perceived behavioral control (i.e., regarding changing physical inactivity, altering diet patterns, and smoking cessation). Conclusions Individual-level interventions that encourage lifestyle change should focus on enhancing accurate perceptions of behaviors compared to recommendations, while strengthening perceived control towards behavior change. Given the high prevalence of dementia risk factors, combining interventions at both individual and environmental levels are likely to be the most effective strategy to reduce dementia on a population scale.
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Affiliation(s)
- Jeroen Bruinsma
- Department of Health Promotion of the Care and Public Health Research Institute at Maastricht University, Maastricht, The Netherlands
| | - Vasileios S. Loukas
- Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
- Biomedical Research Institute, Foundation for Research and Technology–Hellas, FORTH-BRI, Ioannina, Greece
| | - Thomas Kassiotis
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology – Hellas, FORTH-ICS-CBML, Heraklion, Greece
| | - Irene Heger
- Department of Psychiatry and Neuropsychology of the School for Mental Health and Neuroscience at Maastricht University, Maastricht, The Netherlands
| | - Anna Rosenberg
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Leonie N. C. Visser
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Quality of Care/Personalized Medicine, Amsterdam, The Netherlands
| | - Francesca Mangialasche
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
- FINGERS Brain Health Institute, Stockholm, Sweden
- Theme Inflammation and Aging, Medical Unit Aging, Karolinska University Hospital, Solna, Sweden
| | - Dimitrios I. Fotiadis
- Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece
- Biomedical Research Institute, Foundation for Research and Technology–Hellas, FORTH-BRI, Ioannina, Greece
| | - Sten Hanke
- Institute of eHealth at University of Applied Science at FH Joanneum, Graz, Austria
| | - Rik Crutzen
- Department of Health Promotion of the Care and Public Health Research Institute at Maastricht University, Maastricht, The Netherlands
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Frederiksen KS, Morató X, Zetterberg H, Gauthier S, Boada M, Pytel V, Mattke S. Focusing on Earlier Management of Alzheimer Disease: Expert Opinion Based on a Modified Nominal Group Technique. Alzheimer Dis Assoc Disord 2024; 38:1-7. [PMID: 38300883 DOI: 10.1097/wad.0000000000000600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/16/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND Despite the number of people living with Alzheimer disease (AD), awareness of the early stages of this condition, including mild cognitive impairment due to AD-which poses management challenges-continues to be low. To identify areas for improvement in early AD management, dementia specialists convened in a virtual roundtable meeting. METHODOLOGY A modified version of the nominal group technique was followed to prioritize specific topics and allow experts to provide their opinions. The overarching topics prioritized and discussed were (1) education and support for primary care physicians on cognitive assessment, detection of mild cognitive impairment, and patient monitoring; (2) nonpharmacological interventions; (3) and the introduction of disease-modifying therapies. CONCLUSIONS Consensus was achieved regarding the need for educating primary care physicians on identifying people with cognitive impairment and for better diagnostic tools for its detection and early management. Management of mild cognitive impairment due to AD should encompass an adequate follow-up schedule aiming to maintain function for as long as possible, and primary care physicians and patients should be aware of the benefits of nonpharmacological interventions.
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Affiliation(s)
- Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Xavier Morató
- Ace Alzheimer Center Barcelona, Spain
- Universitat International de Catalunya-Barcelona, Spain
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK
- UK Dementia Research Institute at University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI
| | - Serge Gauthier
- AD and Related Disorders Research Unit, McGill Center for Studies in Aging, Verdun, Quebec, Canada
- Departments of Neurology & Neurosurgery, Psychiatry, and Medicine at McGill, Montréal (Québec), Canada
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Spain
- Universitat International de Catalunya-Barcelona, Spain
- Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona, Spain
- Universitat International de Catalunya-Barcelona, Spain
| | - Soeren Mattke
- Center for Improving Chronic Illness Care at the University of Southern California, San Diego, CA
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13
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Van Asbroeck S, Köhler S, Wimmers SC, Muris JW, van Boxtel MP, Deckers K. Multidomain Dementia Risk Reduction in Primary Care is Feasible: A Proof-of-concept study. J Alzheimers Dis 2024; 99:1455-1471. [PMID: 38759017 PMCID: PMC11191460 DOI: 10.3233/jad-240229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 05/19/2024]
Abstract
Background Dementia risk reduction is a public health priority, but interventions that can be easily implemented in routine care are scarce. Objective To evaluate the feasibility of integrating dementia risk reduction in regular consultations in primary care and the added value of a dedicated smartphone app ('MyBraincoach'). Methods 188 participants (40-60 years), with modifiable dementia risk factors were included from ten Dutch general practices in a cluster-randomized trial (NL9773, 06/10/2021). Practices were randomly allocated (1 : 1) to provide a risk-reduction consultation only or to additionally provide the app. During the consultation, participants learned about dementia risk reduction and how to improve their risk profile. The app group received daily microteaching-notifications about their personally relevant risk factors. Feasibility was evaluated after 3 months using questionnaires assessing knowledge on dementia risk reduction and health behavior change. The primary outcome was change in the validated "LIfestyle for BRAin health" (LIBRA) score. In-depth interviews were conducted with participants and primary care providers (PCPs). Results The interventions were positively perceived, with 72.0% finding the consultation informative and 69.2% considering the app useful. Drop-out was low (6.9%). LIBRA improved similarly in both groups, as did Mediterranean diet adherence and body mass index. Knowledge of dementia risk reduction increased, but more in the app group. Interviews provided insight in participants' and PCPs' needs and wishes. Conclusions Integrating dementia risk reduction in primary care, supported by a smartphone app, is a viable approach towards dementia risk reduction. Larger trials are needed to establish (cost-)effectiveness.
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Affiliation(s)
- Stephanie Van Asbroeck
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Sophie C.P.M. Wimmers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Jean W.M. Muris
- Department of Family Medicine, Careand Public Health Research Institute (CAPHRI), MaastrichtUniversity, Maastricht, the Netherlands
| | - Martin P.J. van Boxtel
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, the Netherlands
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Heger I, van Boxtel M, Deckers K, Bosma H, Verhey F, Köhler S. Socioeconomic position, modifiable dementia risk and cognitive decline: results of 12-year Maastricht Aging Study. Int Psychogeriatr 2023:1-13. [PMID: 37905417 DOI: 10.1017/s1041610223000819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
OBJECTIVES This study investigated whether the association between modifiable dementia risk and rate of cognitive decline differs across socioeconomic status (SES) strata. DESIGN, SETTING AND PARTICIPANTS Data were used from Maastricht Aging Study, a prospective cohort study with a 12-year follow-up. The baseline sample consisted of 1023 adults over 40 years old. MEASUREMENTS The "LIfestyle for BRAin health" (LIBRA) index was used to assess modifiable dementia risk. Cognitive performance was assessed at baseline, 6 and 12 years, and measured in the domains of information processing speed, executive functioning and verbal memory function. An SES score was calculated from equivalent income and educational level (tertiles). Linear mixed models were used to study the association between LIBRA, SES and their interaction on the rate of cognitive decline. RESULTS Participants in the lowest SES tertile displayed more decline in information processing speed (vs. middle SES: X2 = 7.08, P = 0.029; vs. high SES: X2 = 9.49, P = 0.009) and verbal memory (vs. middle SES: X2 = 9.28, P < 0.001; vs. high SES: X2 = 16.68, P < 0.001) over 6 years compared to their middle- and high-SES counterparts. Higher (unhealthier) LIBRA scores were associated with more decline in information processing speed (X2 = 12.66, P = 0.002) over 12 years and verbal memory (X2 = 4.63, P = 0.032) over 6 years. No consistent effect modification by SES on the association between LIBRA and cognition was found. CONCLUSIONS Results suggest that lifestyle is an important determinant of cognitive decline across SES groups. Yet, people with low SES had a more unfavorable modifiable risk score suggesting more potential for lifestyle-based interventions.
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Affiliation(s)
- Irene Heger
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Martin van Boxtel
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Hans Bosma
- Care and Public Health Research Institute (CAPHRI), Department of Social Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Frans Verhey
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
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15
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Siette J, Dodds L, Brooks C, Deckers K. Older adults' perspectives towards optimizing lifestyle behaviors and strategies to support healthy brain ageing during COVID-19 restrictions. Front Public Health 2023; 11:1205001. [PMID: 37711233 PMCID: PMC10499331 DOI: 10.3389/fpubh.2023.1205001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction It is unknown how the impact of COVID-19 restrictions has affected brain healthy behaviors that contribute to dementia risk reduction in older adults. Our aim was to explore perspectives of older adults on lifestyle behaviors that support positive brain health and dementia risk reduction during and following COVID-19 restrictions. Methods Community-dwelling older Australians (N = 159) during June to October 2021 (the second wave of COVID-19 restrictions) who had taken part in a pre-post dementia risk reduction intervention program were invited to discuss the impact of COVID-19 on their lifestyle behaviors. Semi-structured interviews explored individual's adaptability to pandemic restrictions, intended behavior changes following restrictions easing, and feedback on the effectiveness of ongoing intervention programs for sustaining brain health. Thematic data analysis was performed using a deductive approach. Results Participants had an average age of 73.1 years (SD = 5.6; range: 65-90), majority were female (74.7%), lived in a major city (82.2%) and mean 9.5 years (SD = 1.7) of education. Older adults' views about lifestyle prevention strategies during the pandemic were both positive (e.g., more spare time and adaptive leisure activities) and negative (e.g., social isolation, lack of motivation, adverse emotions). Participants highlighted a continuous conscious effort to adapt certain brain healthy behaviors despite the persistence of adverse impacts of COVID-19 restrictions. Participants also expressed the intention and desire to revert to their previous lifestyle before the COVID-19 pandemic or a sense of the 'new normal'. Conclusion This formative research will inform future interventions targeting dementia risk reduction to consider the immediate and lasting effects of COVID-19 restrictions on older adult's lifestyle behavior.
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Affiliation(s)
- Joyce Siette
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, NSW, Australia
- Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Laura Dodds
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, NSW, Australia
| | - Cristy Brooks
- Translational Health Research Institute, Western Sydney University, Campbelltown, NSW, Australia
| | - Kay Deckers
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, Netherlands
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16
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Brett BL, Aggarwal NT, Chandran A, Kerr ZY, Walton SR, DeFreese JD, Guskiewicz KM, Echemendia RJ, Meehan WP, McCrea MA, Mannix R. Incorporation of concussion history as part of the LIfestyle for BRAin Health (LIBRA) modifiable factors risk score and associations with cognition in older former National Football League players. Alzheimers Dement 2023; 19:3087-3097. [PMID: 36708229 PMCID: PMC10374874 DOI: 10.1002/alz.12929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/23/2022] [Accepted: 12/19/2022] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Investigate associations between the LIfestyle for BRAin Health (LIBRA) risk score with odds of mild cognitive impairment (MCI) diagnosis and cognitive function, incorporating concussion history. METHODS Former National Football League (NFL) players (N = 1050; mean age = 64.8 ± 9.0-years) completed initial testing for integration of concussion history into LIBRA scores (i.e., modified-LIBRA) and completed the Brief Test of Adult Cognition by Telephone (BTACT). Modified-LIBRA score (including concussion history) associations with odds of MCI and cognitive dysfunction were assessed via logistic and linear regression. RESULTS The highest quartile LIBRA scores were six times more likely to have a diagnosis of MCI compared to the lowest quartile (OR = 6.27[3.61, 10.91], p < 0.001). Modified-LIBRA scores significantly improved model fit for odds of MCI above original LIBRA scores (χ2 (1) = 7.76, p = 0.005) and accounted for a greater fraction of variance in executive function (ΔR2 = 0.02, p = 0.003) and episodic memory (ΔR2 = 0.02, p = 0.002). CONCLUSIONS Modified-LIBRA score, incorporating concussion history, may help monitoring risk status in former contact sport athletes, by targeting modifiable, lifestyle-related risk factors.
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Affiliation(s)
- Benjamin L. Brett
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI
| | | | - Avinash Chandran
- Datalys Center for Sports Injury Research and Prevention, Indianapolis, IN
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Zachary Yukio Kerr
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Samuel R. Walton
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - J. D. DeFreese
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kevin M. Guskiewicz
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - William P. Meehan
- Boston Children’s Hospital, Boston, MA
- Department of Pediatrics and Orthopedics, Harvard Medical School, Boston, MA
| | - Michael A. McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI
| | - Rebekah Mannix
- Boston Children’s Hospital, Boston, MA
- Department of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, MA
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17
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Köhler S, Soons LM, Tange H, Deckers K, van Boxtel MP. Sleep Quality and Cognitive Decline Across the Adult Age Range: Findings from the Maastricht Aging Study (MAAS). J Alzheimers Dis 2023; 96:1041-1049. [PMID: 38007668 PMCID: PMC10741338 DOI: 10.3233/jad-230213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Sleep disturbances have been linked with cognitive decline and a higher risk of dementia. However, there is a lack of studies with sufficient follow-up duration, a detailed neuropsychological assessment and adequate control of main confounders. OBJECTIVE To investigate the relation between self-reported sleep quality and cognitive decline over 12 years in cognitively healthy individuals from the general population. METHODS We used data from the Maastricht Aging Study (MAAS), a Dutch population-based prospective cohort study of 1,823 community-dwelling adults aged 24 to 82 years at baseline. Cognitive performance was measured at baseline, 6 and 12 years on verbal memory, executive functions, and information processing speed. Sleep quality was assessed at baseline using the sleep subscale score of the 90-item Symptom Checklist (SCL-90). Additional modifiable dementia risk factors were summarized in the LIfestyle for BRAin health (LIBRA) risk score. Weighted linear mixed models tested the association between continuous scores and tertiles of subjective sleep quality and change in cognitive performances over time. Models were adjusted for age, gender, educational level, LIBRA, and use of hypnotic (sleep) medication. RESULTS Worse sleep quality was associated with faster decline in processing speed. At older age (≥65 years), it was also associated with faster decline in verbal memory. Association were independent of other modifiable dementia risk factors and use of hypnotic medication. Directionally similar but non-significant associations were found between worse sleep quality and executive functions. CONCLUSIONS In this population-based study across the adult age range, poor self-reported sleep was associated with accelerated cognitive decline.
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Affiliation(s)
- Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Lion M. Soons
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Huibert Tange
- Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Martin P.J. van Boxtel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht University Medical Center+, Maastricht, The Netherlands
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18
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Heger I, Deckers K, de Vugt M, Verhey F, Oenema A, van Boxtel M, Köhler S. Using mHealth for Primary Prevention of Dementia: A Proof-of-Concept Study on Usage Patterns, Appreciation, and Beliefs and Attitudes Regarding Prevention. J Alzheimers Dis 2023; 94:935-948. [PMID: 37355903 PMCID: PMC10473134 DOI: 10.3233/jad-230225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND Health- and lifestyle factors account for a substantial part of all dementia cases, which opens the opportunity for primary prevention. However, the required behavioral change is complex and involves targeting multiple risk factors. mHealth interventions can potentially contribute to improving motivation in a low-cost and scalable way. OBJECTIVE To explore usage patterns, appreciation, and beliefs and attitudes regarding dementia risk reduction during the use of the MyBraincoach mobile app. METHODS Participants were community-dwelling middle-aged adults from the Netherlands and used either the standard (education) or extended (education+motivational triggers) app version for three months. Two panel studies were combined in this paper. Chi-square tests, t-tests and linear mixed models were used, adjusted for age, sex, and education. RESULTS Of all participants (n = 299, 50.2% male), 167 (55.9%) had installed the app. The most reported reason for non-use was technical problems (47%). Those who used the app were at baseline already more positive about dementia risk reduction than those who did not use the app. Of all users who completed the evaluation (n = 102), 78.4% (n = 80) stated that the app provided a positive approach towards brain health and 80.4% (n = 82) felt better informed. Younger (<60y) and lower educated participants evaluated the app most positively. CONCLUSION Usage of the app was low, but users showed more positive beliefs and attitudes regarding dementia risk reduction. Most users evaluated the app positively and stated to have gained knowledge on the topic. Improving the use of the app must keep high priority in future studies.
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Affiliation(s)
- Irene Heger
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Marjolein de Vugt
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Frans Verhey
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Anke Oenema
- Department of Health Promotion, CAPHRI Care and Public Health Research Institute Maastricht, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Martin van Boxtel
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
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Coley N, Giulioli C, Aisen PS, Vellas B, Andrieu S. Randomised controlled trials for the prevention of cognitive decline or dementia: A systematic review. Ageing Res Rev 2022; 82:101777. [PMID: 36336171 DOI: 10.1016/j.arr.2022.101777] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 09/02/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022]
Abstract
Dementia prevention research has progressed rapidly in recent years, with publication of several large lifestyle intervention trials, and renewed interest in pharmacological interventions, notably for individuals with Alzheimer's disease biomarkers, warranting an updated review of results and methodology. We identified 112 completed trials testing the efficacy of single-domain pharmacological (n = 33, 29%), nutritional (n = 27, 24%), physical activity (n = 18, 16%) and cognitive stimulation (n = 13, 12%), or multidomain (n = 22, 20%) interventions on incident dementia, or a relevant intermediate marker (e.g. cognitive function, biomarkers or dementia risk scores) in people without dementia. The earliest trials tested pharmacological interventions or nutritional supplements, but lifestyle interventions predominated in the last decade. In total, 21 (19%) trials demonstrated a clear beneficial effect on the pre-specified primary outcome (or all co-primary outcomes), but only two (10%) were large-scale (testing blood pressure lowering (Syst-Eur) or multidomain (FINGER) interventions on incident dementia and cognitive change in cognitive function, respectively). Of the 116 ongoing trials, 40% (n = 46) are testing multidomain interventions. Recent methodological shifts concern target populations, primary outcome measures, and intervention design, but study design remains constant (parallel group randomised controlled trial). Future trials may consider using adaptive trials or interventions, and more targeted approaches, since certain interventions may be more effective in certain subgroups of the population, and at specific times in the life-course. Efforts should also be made to increase the representativeness and diversity of prevention trial populations.
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Affiliation(s)
- Nicola Coley
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse, INSERM UMR1295, UPS, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France.
| | - Caroline Giulioli
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse, INSERM UMR1295, UPS, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA
| | - Bruno Vellas
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse, INSERM UMR1295, UPS, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France; Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital, France
| | - Sandrine Andrieu
- Center for Epidemiology and Research in Population Health (CERPOP), University of Toulouse, INSERM UMR1295, UPS, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France; Department of Internal Medicine, Division of General Internal and Geriatric Medicine, University of New Mexico, USA
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20
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Siette J, Dodds L, Dawes P, Richards D, Savage G, Strutt P, Ijaz K, Johnco C, Wuthrich V, Heger I, Deckers K, Köhler S, Armitage CJ. Protocol for a pre-post, mixed-methods feasibility study of the Brain Bootcamp behaviour change intervention to promote healthy brain ageing in older adults. PLoS One 2022; 17:e0272517. [PMID: 36445869 PMCID: PMC9707764 DOI: 10.1371/journal.pone.0272517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/15/2022] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Behaviour change interventions represent key means for supporting healthy ageing and reducing dementia risk yet brief, scalable behaviour change interventions targeting dementia risk reduction in older adults is currently lacking. Here we describe the aims and design of the three-month Brain Bootcamp initiative that seeks to target multiple dementia risk and protective factors (healthy eating, physical, social and cognitive inactivity), through the use of multiple behaviour change techniques, including goal-setting for behaviour, information about health consequences and physical prompts to change behaviours that reduce dementia risk among older adults. Our secondary aim is to understand participants' views of dementia prevention and explore the acceptability and integration of this campaign into daily life. METHODS Brain Bootcamp is a pre-post feasibility trial conducted in Sydney, Australia beginning in January 2021 until late August. Participants aged ≥65 years living independently in the community (n = 252), recruited through social media and flyers, will provide information about their demographics, medical history, alcohol consumption, smoking habits, mental health, physical activity, cognitive activity, and diet to generate a dementia risk profile at baseline and assess change therein at three-month follow-up. During the intervention, participants will receive a resource pack containing their individual risk profile, educational booklet on dementia risk factors and four physical items designed to prompt physical, social and mental activity, and better nutrition. Outcome measures include change in dementia risk scores, dementia awareness and motivation. A qualitative process evaluation will interview a sample of participants on the acceptability and feasibility of the intervention. DISCUSSION This will be the first short-term multi-domain intervention targeting dementia risk reduction in older adults. Findings will generate a new evidence base on how to best support efforts targeting lifestyle changes and to identify ways to optimise acceptability and effectiveness towards brain health for older adults. TRIAL REGISTRATION NUMBER ACTRN 381046 (registered 17/02/2021); Pre-results.
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Affiliation(s)
- Joyce Siette
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, New South Wales, Australia
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- * E-mail:
| | - Laura Dodds
- Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Piers Dawes
- School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Deborah Richards
- Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Greg Savage
- Department of Psychology, Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- Centre for Ageing, Cognition and Wellbeing, Macquarie University, Sydney, New South Wales, Australia
| | - Paul Strutt
- Centre for Ageing, Cognition and Wellbeing, Macquarie University, Sydney, New South Wales, Australia
- Department of Cognitive Science, Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Kiran Ijaz
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Carly Johnco
- Department of Psychology, Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- Centre for Ageing, Cognition and Wellbeing, Macquarie University, Sydney, New South Wales, Australia
| | - Viviana Wuthrich
- Department of Psychology, Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
- Centre for Ageing, Cognition and Wellbeing, Macquarie University, Sydney, New South Wales, Australia
| | - Irene Heger
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Christopher J. Armitage
- Manchester Centre for Health Psychology, University of Manchester, Manchester, United Kingdom
- Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- NIHR Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, United Kingdom
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21
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Cody KA, Koscik RL, Erickson CM, Berman SE, Jonaitis EM, Williams VJ, Mueller KD, Christian BT, Chin NA, Clark LR, Betthauser TJ, Johnson SC. Associations of the Lifestyle for Brain Health index with longitudinal cognition and brain amyloid beta in clinically unimpaired older adults: Findings from the Wisconsin Registry for Alzheimer's Prevention. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12351. [PMID: 36110432 PMCID: PMC9464997 DOI: 10.1002/dad2.12351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 01/25/2023]
Abstract
Introduction Modifiable health and lifestyle factors increase risk of dementia, but whether modifiable factors, when measured in late-midlife, impact the emergence or progression of Alzheimer's disease (AD) pathophysiologic or cognitive changes remains unresolved. Methods In initially cognitively unimpaired, late middle-aged participants (N = 1215; baseline age, M [standard deviation] = 59.3 [6.7] years) from the Wisconsin Registry for Alzheimer's Prevention (WRAP), we investigated the influence of the Lifestyle for Brain Health (LIBRA) index, a lifestyle-based dementia risk score, on AD-related cognitive trajectories and amyloid beta (Aβ) plaque accumulation. Results Overall, lower baseline LIBRA, denoting healthier lifestyle and lower dementia risk, was related to better overall cognitive performance, but did not moderate apolipoprotein E ε4 or Aβ-related longitudinal cognitive trajectories. LIBRA was not significantly associated with Aβ accumulation or estimated age of Aβ onset. Discussion In WRAP, late-midlife LIBRA scores were related to overall cognitive performance, but not AD-related cognitive decline or Aβ accumulation in the preclinical timeframe. Highlights The Lifestyle for Brain Health (LIBRA) index was associated with cognitive performance in late-midlife.LIBRA did not moderate apolipoprotein E ε4 or amyloid-related cognitive decline.LIBRA was not associated with the onset or accumulation of amyloid plaques.
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Affiliation(s)
- Karly A. Cody
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Rebecca L. Koscik
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Claire M. Erickson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Sara E. Berman
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Victoria J. Williams
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Kimberly D. Mueller
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of Communication Sciences & DisordersUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Bradley T. Christian
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Waisman Laboratory for Brain Imaging and BehaviorUniversity of Wisconsin–MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Nathanial A. Chin
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Lindsay R. Clark
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA
| | - Tobey J. Betthauser
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterWilliam S. Middleton Veterans HospitalMadisonWisconsinUSA
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22
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Multidomain interventions for risk reduction and prevention of cognitive decline and dementia: current developments. Curr Opin Psychiatry 2022; 35:285-292. [PMID: 35703256 DOI: 10.1097/yco.0000000000000792] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW The potential for dementia prevention is deemed substantial if modifiable risk factors were addressed. First large-scale multidomain lifestyle interventions aiming at reducing risk of cognitive decline and dementia have yielded mixed but promising evidence. RECENT FINDINGS Despite the impact of the COVID-19 pandemic on trials conduction, causing interruptions and delays, the research landscape on multidomain interventions is growing rapidly. The successful Finish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) has led to an adaptation of the FINGER model in trials underway or being planned in over 40 countries. Recent studies identified barriers and facilitators of and adherence to multidomain interventions, showed the suitability of dementia risk scores as surrogate outcomes, and suggested mechanisms. Multidomain interventions are increasingly conducted in the Global South, and study protocols are increasingly testing expanded FINGER models, for example, with pharmacological components, in digital/remote settings and co-designed personalized interventions. SUMMARY Though results remain mixed, the many ongoing trials will provide more conclusive evidence within the next few years and help to optimize interventions. Continued international collaboration is pivotal to scale and accelerate the development and implementation of effective multidomain interventions as part of larger public health strategies to counteract the global dementia increase.
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Waterink L, Bakker ED, Visser LNC, Mangialasche F, Kivipelto M, Deckers K, Köhler S, Sikkes SAM, Prins ND, Scheltens P, van der Flier WM, Zwan MD. Changes in Brain-Health Related Modifiable Risk Factors in Older Adults After One Year of COVID-19-Restrictions. Front Psychiatry 2022; 13:877460. [PMID: 35722572 PMCID: PMC9201112 DOI: 10.3389/fpsyt.2022.877460] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background The COVID-19 pandemic has major influence on lifestyle and mental health, which might affect brain-health and increase the risk of cognitive decline, particularly in older adults. We aimed to describe changes in modifiable risk factors related to brain-health in older adults after one year of COVID-19 restrictions. Methods An online survey was disseminated between February and March 2021 to 17,773 registrants of the Dutch Brain Research Registry, aged ≥50, without a self-reported diagnosis of mild cognitive impairment or dementia. Participants were asked to report potential changes in behaviors during the COVID-19 pandemic, compared to pre-pandemic, in eight domains related to brain health: physical activity, sleep, feeling of memory decline, perceived stress, feeling of loneliness, diet, alcohol consumption, and smoking. We used negative binomial regression analyses to relate (socio)demographics, subjective memory complaints and COVID-19 related aspects (fear of, or current/past COVID-19 infection) to the number of reported detrimental and beneficial changes as dependent variable. Results 3,943 participants (66 ± 8 years old; 76% female; 71% highly educated) completed the survey. After one year of COVID-19-restrictions, 74% reported at least one detrimental lifestyle change unfavorable for their brain health, most frequently reported were feelings of loneliness, sleep problems, and less physical activity. 60% of participants reported at least one beneficial change, which were most often more physical activity, healthier dietary habits, and less alcohol consumption. Individuals who are younger [incidence rate ratio (IRR) = 0.99, 95% CI = 0.98-0.99], female (1.20, 1.11-1.30), living alone (1.20, 1.11-1.28) and in urban environments (1.18, 1.08-1.29), who are less satisfied with their income (1.38, 1.17-1.62), experiencing subjective memory complaints (1.40, 1.28-1.52) and those with a past or current (1.19, 1.06-1.34) or fear of a COVID-19 infection (1.33, 1.25-1.42) reported higher numbers of detrimental changes. Discussion The COVID-19 pandemic has influenced lifestyle in both positive and negative ways. We identified (socio)demographic factors associated with more detrimental changes in modifiable risk factors related to brain health, suggesting that some individuals are more vulnerable for the impact of the COVID-19 pandemic. These findings provide an opportunity for targeted prevention and education to promote a healthy lifestyle during and after the pandemic.
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Affiliation(s)
- Lisa Waterink
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Els D. Bakker
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leonie N. C. Visser
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC Location AMC, Amsterdam, Netherlands
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Kay Deckers
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sebastian Köhler
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sietske A. M. Sikkes
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Faculty of Behavioural and Movement Sciences, Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Life Sciences Partners Dementia Fund, Amsterdam, Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marissa D. Zwan
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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Meng X, Fang S, Zhang S, Li H, Ma D, Ye Y, Su J, Sun J. Multidomain lifestyle interventions for cognition and the risk of dementia: A systematic review and meta-analysis. Int J Nurs Stud 2022; 130:104236. [DOI: 10.1016/j.ijnurstu.2022.104236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/12/2022] [Accepted: 03/14/2022] [Indexed: 11/15/2022]
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Anstey KJ, Zheng L, Peters R, Kootar S, Barbera M, Stephen R, Dua T, Chowdhary N, Solomon A, Kivipelto M. Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines. Front Neurol 2022; 12:765454. [PMID: 35058873 PMCID: PMC8764151 DOI: 10.3389/fneur.2021.765454] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/07/2021] [Indexed: 12/24/2022] Open
Abstract
Dementia prevention is a global health priority. In 2019, the World Health Organisation published its first evidence-based guidelines on dementia risk reduction. We are now at the stage where we need effective tools and resources to assess dementia risk and implement these guidelines into policy and practice. In this paper we review dementia risk scores as a means to facilitate this process. Specifically, we (a) discuss the rationale for dementia risk assessment, (b) outline some conceptual and methodological issues to consider when reviewing risk scores, (c) evaluate some dementia risk scores that are currently in use, and (d) provide some comments about future directions. A dementia risk score is a weighted composite of risk factors that reflects the likelihood of an individual developing dementia. In general, dementia risks scores have a wide range of implementations and benefits including providing early identification of individuals at high risk, improving risk perception for patients and physicians, and helping health professionals recommend targeted interventions to improve lifestyle habits to decrease dementia risk. A number of risk scores for dementia have been published, and some are widely used in research and clinical trials e.g., CAIDE, ANU-ADRI, and LIBRA. However, there are some methodological concerns and limitations associated with the use of these risk scores and more research is needed to increase their effectiveness and applicability. Overall, we conclude that, while further refinement of risk scores is underway, there is adequate evidence to use these assessments to implement guidelines on dementia risk reduction.
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Affiliation(s)
- Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Lidan Zheng
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Ruth Peters
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Scherazad Kootar
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Ruth Stephen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tarun Dua
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Neerja Chowdhary
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Alina Solomon
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Miia Kivipelto
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.,Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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Kivipelto M, Palmer K, Hoang TD, Yaffe K. Trials and Treatments for Vascular Brain Health: Risk Factor Modification and Cognitive Outcomes. Stroke 2022; 53:444-456. [DOI: 10.1161/strokeaha.121.032614] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
There is robust evidence linking vascular health to brain health, cognition, and dementia. In this article, we present evidence from trials of vascular risk factor treatment on cognitive outcomes. We summarize findings from randomized controlled trials of antihypertensives, lipid-lowering medications, diabetes treatments (including antidiabetic drugs versus placebo, and intensive versus standard glycemic control), and multidomain interventions (that target several domains simultaneously such as control of vascular and metabolic factors, nutrition, physical activity, and cognitive stimulation etc). We report that evidence on the efficacy of vascular risk reduction interventions is promising, but not yet conclusive, and several methodological limitations hamper interpretation. Evidence mainly comes from high-income countries and, as cognition and dementia have not been the primary outcomes of many trials, evaluation of cognitive changes have often been limited. As the cognitive aging process occurs over decades, it is unclear whether treatment during the late-life window is optimal for dementia prevention, yet older individuals have been the target of most trials thus far. Further, many trials have not been powered to explore interactions with modifiers such as age, race, and apolipoprotein E, even though sub-analyses from some trials indicate that the success of interventions differs depending on patient characteristics. Due to the complex multifactorial etiology of dementia, and variations in risk factors between individuals, multidomain interventions targeting several risk factors and mechanisms are likely to be needed and the long-term sustainability of preventive interventions will require personalized approaches that could be facilitated by digital health tools. This is especially relevant during the coronavirus disease 2019 (COVID-19) pandemic, where intervention strategies will need to be adapted to the new normal, when face-to-face engagement with participants is limited and public health measures may create changes in lifestyle that affect individuals’ vascular risk profiles and subsequent risk of cognitive decline.
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Affiliation(s)
- Miia Kivipelto
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden (M.K., K.P.)
- Medical Unit Aging, Karolinska University Hospital (M.K.)
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, United Kingdom (M.K.)
- Institute of Public Health and Clinical Nutrition and Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio (M.K.)
| | - Katie Palmer
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden (M.K., K.P.)
- FINGERS Brain Health Institute, Stockholm, Sweden (K.P.)
| | - Tina D. Hoang
- Northern California Institute for Research and Education, San Francisco, CA (T.D.H.)
- Center for Population Brain Health, University of California, San Francisco (T.D.H., K.Y.)
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology; University of California, San Francisco (K.Y.)
- Center for Population Brain Health, University of California, San Francisco (T.D.H., K.Y.)
- San Francisco Veterans Affairs Healthcare System, CA (K.Y.)
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Wang H, Rosenthal BS, Makowski C, Lo M, Andreassen OA, Salem RM, McEvoy LK, Fiecas M, Chen C. Causal association of cognitive reserve on Alzheimer's disease with putative sex difference. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12270. [PMID: 35005200 PMCID: PMC8719428 DOI: 10.1002/dad2.12270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/13/2021] [Accepted: 11/15/2021] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Sex-dependent risk factors may underlie sex differences in Alzheimer's disease (AD). METHODS Using sex-stratified genome-wide association studies (GWAS) of AD, we evaluated associations of 12 traits with AD through polygenic risk scores (PRS) and Mendelian randomization (MR), and explored joint genetic architecture among significant traits by genomic structural equation modeling and network analysis. RESULTS AD was associated with lower PRS for premorbid cognitive performance, intelligence, and educational attainment. MR showed a causal role for the cognition-related traits in AD, particularly among females. Their joint genetic components encompassed RNA processing, neuron projection development, and cell cycle pathways that overlap with cellular senescence. Cholesterol and C-reactive protein showed pleiotropy but no causality with AD. DISCUSSION Lower cognitive reserve is causally related to AD. The stronger causal link between cognitive performance and AD in females, despite similar PRS between sexes, suggest these differences may result from gene-environmental interactions accumulated over the lifespan.
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Affiliation(s)
- Hao Wang
- Center for Multimodal Imaging and GeneticsDepartment of RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Brin Sara Rosenthal
- Center for Computational Biology and BioinformaticsUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Carolina Makowski
- Center for Multimodal Imaging and GeneticsDepartment of RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Min‐Tzu Lo
- Center for Multimodal Imaging and GeneticsDepartment of RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Ole A. Andreassen
- NORMENT CentreDivision of Mental Health and AddictionUniversity of Oslo and Oslo University HospitalOsloNorway
| | - Rany M. Salem
- Department of Family Medicine and Public HealthDivision of EpidemiologyUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Linda K. McEvoy
- Center for Multimodal Imaging and GeneticsDepartment of RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Mark Fiecas
- School of Public HealthDivision of BiostatisticsUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Chi‐Hua Chen
- Center for Multimodal Imaging and GeneticsDepartment of RadiologyUniversity of California San DiegoLa JollaCaliforniaUSA
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Lutz A, Chételat G, Collette F, Klimecki OM, Marchant NL, Gonneaud J. The protective effect of mindfulness and compassion meditation practices on ageing: Hypotheses, models and experimental implementation. Ageing Res Rev 2021; 72:101495. [PMID: 34718153 DOI: 10.1016/j.arr.2021.101495] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/09/2021] [Accepted: 10/18/2021] [Indexed: 10/20/2022]
Abstract
Alzheimer's disease (AD) represents a major health and societal issue; there is no treatment to date and the pathophysiological mechanisms underlying this disease are not well understood. Yet, there is hope that AD risk factors and thus the number of AD cases can be significantly reduced by prevention measures based on lifestyle modifications as targeted by non-pharmacological preventive interventions. So far, these interventions have rarely targeted the psycho-affective risk factors related to depression, stress, anxiety, and feeling of loneliness, which are all prevalent in ageing. This paper presents the hypothesis that the regular practice of mindfulness meditation (MM) and loving-kindness and compassion meditation (LKCM) in the ageing population constitutes a lifestyle that is protective against AD. In this model, these practices can promote cognition, mental health, and well-being by strengthening attention control, metacognitive monitoring, emotion regulation and pro-social capacities. Training these capacities could reduce the risk of AD by upregulating beneficial age-related factors such as cognitive reserve, and down-regulating detrimental age-related factors, such as stress, or depression. As an illustration, we present the Medit-Ageing study (public name Silver Santé Study), an on-going European project that assesses the impact and mechanisms of non-pharmacological interventions including meditation, in the ageing population.
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29
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Solomon A, Stephen R, Altomare D, Carrera E, Frisoni GB, Kulmala J, Molinuevo JL, Nilsson P, Ngandu T, Ribaldi F, Vellas B, Scheltens P, Kivipelto M. Multidomain interventions: state-of-the-art and future directions for protocols to implement precision dementia risk reduction. A user manual for Brain Health Services-part 4 of 6. Alzheimers Res Ther 2021; 13:171. [PMID: 34635167 PMCID: PMC8507202 DOI: 10.1186/s13195-021-00875-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 07/06/2021] [Indexed: 11/28/2022]
Abstract
Although prevention of dementia and late-life cognitive decline is a major public health priority, there are currently no generally established prevention strategies or operational models for implementing such strategies into practice. This article is a narrative review of available evidence from multidomain dementia prevention trials targeting several risk factors and disease mechanisms simultaneously, in individuals without dementia at baseline. Based on the findings, we formulate recommendations for implementing precision risk reduction strategies into new services called Brain Health Services. A literature search was conducted using medical databases (MEDLINE via PubMed and SCOPUS) to select relevant studies: non-pharmacological multidomain interventions (i.e., combining two or more intervention domains), target population including individuals without dementia, and primary outcomes including cognitive/functional performance changes and/or incident cognitive impairment or dementia. Further literature searches covered the following topics: sub-group analyses assessing potential modifiers for the intervention effect on cognition in the multidomain prevention trials, dementia risk scores used as surrogate outcomes in multidomain prevention trials, dementia risk scores in relation to brain pathology markers, and cardiovascular risk scores in relation to dementia. Multidomain intervention studies conducted so far appear to have mixed results and substantial variability in target populations, format and intensity of interventions, choice of control conditions, and outcome measures. Most trials were conducted in high-income countries. The differences in design between the larger, longer-term trials that met vs. did not meet their primary outcomes suggest that multidomain intervention effectiveness may be dependent on a precision prevention approach, i.e., successfully identifying the at-risk groups who are most likely to benefit. One such successful trial has already developed an operational model for implementing the intervention into practice. Evidence on the efficacy of risk reduction interventions is promising, but not yet conclusive. More long-term multidomain randomized controlled trials are needed to fill the current evidence gaps, especially concerning low- and middle-income countries and integration of dementia prevention with existing cerebrovascular prevention programs. A precision risk reduction approach may be most effective for dementia prevention. Such an approach could be implemented in Brain Health Services.
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Affiliation(s)
- Alina Solomon
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
- Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden.
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.
| | - Ruth Stephen
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Emmanuel Carrera
- Stroke Center, Department of Neurology, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Jenni Kulmala
- Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Peter Nilsson
- Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Tiia Ngandu
- Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Federica Ribaldi
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), Saint John of God Clinical Research Centre, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Bruno Vellas
- Gérontopole of Toulouse, University Hospital of Toulouse (CHU-Toulouse), Toulouse, France
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Miia Kivipelto
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Division of Clinical Geriatrics, NVS, Karolinska Institutet, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Department of Public Health Solutions, Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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30
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Deckers K, Köhler S, Ngandu T, Antikainen R, Laatikainen T, Soininen H, Strandberg T, Verhey F, Kivipelto M, Solomon A. Quantifying dementia prevention potential in the FINGER randomized controlled trial using the LIBRA prevention index. Alzheimers Dement 2021; 17:1205-1212. [PMID: 33403822 PMCID: PMC8359273 DOI: 10.1002/alz.12281] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/03/2020] [Accepted: 11/30/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Individuals in early dementia prevention trials may differ in how much they benefit from interventions depending on their initial risk level. Additionally, modifiable dementia risk scores might be used as surrogate/intermediate outcomes. METHODS In the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), we investigated in post hoc analyses (N = 1207) whether the cognitive benefits of the 2-year multi-domain lifestyle intervention differed by baseline dementia risk measured with the "LIfestyle for BRAin Health" (LIBRA) score. We also investigated intervention effects on change in LIBRA score over time. RESULTS Overall, higher baseline LIBRA was related to less cognitive improvement over time. This association did not differ between the intervention and control groups. The intervention was effective in decreasing LIBRA scores over time, regardless of baseline demographics or cognition. DISCUSSION The cognitive benefit of the FINGER intervention was similar across individuals with different LIBRA scores at baseline. Furthermore, LIBRA may be useful as a surrogate/intermediate endpoint and surveillance tool to monitor intervention success during trial execution.
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Affiliation(s)
- Kay Deckers
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Tiia Ngandu
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
| | - Riitta Antikainen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland.,Oulu City Hospital, Oulu, Finland
| | - Tiina Laatikainen
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Hospital District of North Karelia, Joensuu, Finland
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Timo Strandberg
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Frans Verhey
- Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Alina Solomon
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
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