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Soldevila-Domenech N, Ayala-Garcia A, Barbera M, Lehtisalo J, Forcano L, Diaz-Ponce A, Zwan M, van der Flier WM, Ngandu T, Kivipelto M, Solomon A, de la Torre R. Adherence and intensity in multimodal lifestyle-based interventions for cognitive decline prevention: state-of-the-art and future directions. Alzheimers Res Ther 2025; 17:61. [PMID: 40098201 PMCID: PMC11912746 DOI: 10.1186/s13195-025-01691-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 02/02/2025] [Indexed: 03/19/2025]
Abstract
Preventing dementia and Alzheimer's disease (AD) is a global priority. Multimodal interventions targeting several risk factors and disease mechanisms simultaneously are currently being tested worldwide under the World-Wide FINGERS (WW-FINGERS) network of clinical trials. Adherence to these interventions is crucial for their success, yet there is significant heterogeneity in adherence reporting across studies, hindering the understanding of adherence barriers and facilitators. This article is a narrative review of available evidence from multimodal dementia prevention trials. A literature search was conducted using medical databases (MEDLINE via PubMed and SCOPUS) to select relevant studies: nonpharmacological multimodal interventions (i.e., combining three or more intervention domains), targeting individuals without dementia, and using changes in cognitive performance and/or incident mild cognitive impairment or dementia as primary outcomes. Based on the findings, we propose future adherence reporting to encompass both participation (average attendance to each intervention component) and lifestyle change using dementia risk scores (e.g., the LIBRA index). Moreover, we provide an estimation of the expected intensity of multimodal interventions, defined as the ratio of the expected dose (i.e., the overall amount of the intervention offered specified in the trial protocol) to duration (in months). Adjusting the expected dose by average adherence enables estimation of the observed dose and intensity, which could be informative for identifying optimal dosage thresholds that maximize cognitive benefits across different populations. Finally, this article provides an overview of the determinants of adherence to multimodal interventions, emphasizing the need for improved adherence reporting to inform the design and implementation of precision prevention interventions.
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Affiliation(s)
- Natalia Soldevila-Domenech
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Research Program, Hospital del Mar Research Institute, Dr. Aiguader 88, Barcelona, 08003, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, Barcelona, 08003, Spain
| | - Amaia Ayala-Garcia
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Research Program, Hospital del Mar Research Institute, Dr. Aiguader 88, Barcelona, 08003, Spain
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70211, Finland
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, Charing Cross Hospital, St Dunstan's Road, London, W6 8RP, UK
| | - Jenni Lehtisalo
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70211, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, Helsinki, Finland
| | - Laura Forcano
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Research Program, Hospital del Mar Research Institute, Dr. Aiguader 88, Barcelona, 08003, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Av. Monforte de Lemos 3-5, Madrid, 28029, Spain
| | - Ana Diaz-Ponce
- Alzheimer Europe, Sennengerbierg Nidderaanwen, Luxembourg City, 1736, Luxembourg
| | - Marissa Zwan
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1117, Amsterdam, 1081 HV, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1117, Amsterdam, 1081 HV, Netherlands
| | - Tiia Ngandu
- Population Health Unit, Finnish Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, Helsinki, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Karolinska Vägen 37A, Solna, 171 64, Sweden
| | - Miia Kivipelto
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, Charing Cross Hospital, St Dunstan's Road, London, W6 8RP, UK
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Karolinska Vägen 37A, Solna, 171 64, Sweden
- Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, D1: 04, 171 76, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonrinne 3, Kuopio, FI-70211, Finland
| | - Alina Solomon
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1C, Kuopio, 70211, Finland
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, Charing Cross Hospital, St Dunstan's Road, London, W6 8RP, UK
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Karolinska Vägen 37A, Solna, 171 64, Sweden
| | - Rafael de la Torre
- Integrative Pharmacology and Systems Neuroscience Research Group, Neuroscience Research Program, Hospital del Mar Research Institute, Dr. Aiguader 88, Barcelona, 08003, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Av. Monforte de Lemos 3-5, Madrid, 28029, Spain.
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Dr Aiguader 80, Barcelona, 08003, Spain.
- Neurosciences Research Program, Hospital del Mar Research Institute (HMRI), Dr Aiguader 88, Barcelona, 08003, Spain.
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Mok VCT, Cai Y, Markus HS. Vascular cognitive impairment and dementia: Mechanisms, treatment, and future directions. Int J Stroke 2024; 19:838-856. [PMID: 39283037 PMCID: PMC11490097 DOI: 10.1177/17474930241279888] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Accepted: 08/17/2024] [Indexed: 10/21/2024]
Abstract
Worldwide, around 50 million people live with dementia, and this number is projected to triple by 2050. It has been estimated that 20% of all dementia cases have a predominant cerebrovascular pathology, while perhaps another 20% of vascular diseases contribute to a mixed dementia picture. Therefore, the vascular contribution to dementia affects 20 million people currently and will increase markedly in the next few decades, particularly in lower- and middle-income countries.In this review, we discuss the mechanisms of vascular cognitive impairment (VCI) and review management. VCI refers to the spectrum of cerebrovascular pathologies that contribute to any degree of cognitive impairment, ranging from subjective cognitive decline, to mild cognitive impairment, to dementia. While acute cognitive decline occurring soon after a stroke is the most recognized form of VCI, chronic cerebrovascular disease, in particular cerebral small-vessel disease, can cause insidious cognitive decline in the absence of stroke. Moreover, cerebrovascular disease not only commonly co-occurs with Alzheimer's disease (AD) and increases the probability that AD pathology will result in clinical dementia, but may also contribute etiologically to the development of AD pathologies.Despite its enormous health and economic impact, VCI has been a neglected research area, with few adequately powered trials of therapies, resulting in few proven treatments. Current management of VCI emphasizes prevention and treatment of stroke and vascular risk factors, with most evidence for intensive hypertension control. Reperfusion therapies in acute stroke may attenuate the risk of VCI. Associated behavioral symptoms such as apathy and poststroke emotionalism are common. We also highlight novel treatment strategies that will hopefully lead to new disease course-modifying therapies. Finally, we highlight the importance of including cognitive endpoints in large cardiovascular prevention trials and the need for an increased research focus and funding for this important area.
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Affiliation(s)
- Vincent Chung Tong Mok
- Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Gerald Choa Neuroscience Institute, Li Ka Shing Institute of Health Science, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Yuan Cai
- Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Gerald Choa Neuroscience Institute, Li Ka Shing Institute of Health Science, Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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