Reseña del libro "Handbook of Prevention and Alzheimer’s Disease (en Inglés)"
It is almost 120 years since Alzheimer’s disease (AD) was first reported, and the concept of modifiable risk factors associated with the disease has been present from the outset. Thus, the idea of preventing AD is not new, with reference to strategies noted as early as the 1990s. This subfield of AD research has matured in recent years, with the number of modifiable risk factors – the AD preventome – rising from the 7 initially identified to the current 12, with an estimated contribution to dementia cases worldwide of about 40%. This book, the Handbook of Prevention and Alzheimer’s Disease, introduces physicians, scientists, and other stakeholders to this subfield of AD research. It investigates the AD preventome, which will continue to expand as the understanding of new factors and related biomarkers is refined. Optimizing this preventome leads to an improvement in overall brain health, an outcome which reduces the risk of developing AD and improves quality of life. The book goes on to examine other domains of prevention, from vascular risk factors to social engagement and from sleep health to spirituality. If the journey to end AD can be likened to a long and arduous challenge, understanding every possible part of the overall toolkit of approaches for disease prevention and intervention is essential.Together with its companion volume on intervention, the book provides a comprehensive overview of strategies for tackling Alzheimer’s disease, and will be of interest to all those working in the field. Cover illustration:White matter tracts showing sex differences in connectivity in men versus women as a function of increasing body mass index. Reprinted with permission from Rahmani F, Wang Q, McKay NS, Keefe S, Hantler N, Hornbeck R, Wang Y, Hassenstab J, Schindler S, Xiong C, Morris JC, Benzinger TLS, Raji CA. Sex-Specific Patterns of Body Mass Index Relationship with White Matter Connectivity. J Alzheimers Dis. 2022;86(4):1831-1848. doi: 10.3233/JAD-215329. PMID: 35180116; PMCID: PMC9108572.
It is almost 120 years since Alzheimer’s disease (AD) was first reported, and the concept of modifiable risk factors associated with the disease has been present from the outset. Thus, the idea of preventing AD is not new, with reference to strategies noted as early as the 1990s. This subfield of AD research has matured in recent years, with the number of modifiable risk factors – the AD preventome – rising from the 7 initially identified to the current 12, with an estimated contribution to dementia cases worldwide of about 40%. This book, the Handbook of Prevention and Alzheimer’s Disease, introduces physicians, scientists, and other stakeholders to this subfield of AD research. It investigates the AD preventome, which will continue to expand as the understanding of new factors and related biomarkers is refined. Optimizing this preventome leads to an improvement in overall brain health, an outcome which reduces the risk of developing AD and improves quality of life. The book goes on to examine other domains of prevention, from vascular risk factors to social engagement and from sleep health to spirituality. If the journey to end AD can be likened to a long and arduous challenge, understanding every possible part of the overall toolkit of approaches for disease prevention and intervention is essential. Together with its companion volume on intervention, the book provides a comprehensive overview of strategies for tackling Alzheimer’s disease, and will be of interest to all those working in the field. Cover illustration:White matter tracts showing sex differences in connectivity in men versus women as a function of increasing body mass index. Reprinted with permission from Rahmani F, Wang Q, McKay NS, Keefe S, Hantler N, Hornbeck R, Wang Y, Hassenstab J, Schindler S, Xiong C, Morris JC, Benzinger TLS, Raji CA. Sex-Specific Patterns of Body Mass Index Relationship with White Matter Connectivity. J Alzheimers Dis. 2022;86(4):1831-1848. doi: 10.3233/JAD-215329. PMID: 35180116; PMCID: PMC9108572.
