Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
Department of Neurological Sciences, Rush Medical College, Chicago, IL, USA.
Alzheimers Res Ther. 2023 Dec 18;15(1):221. doi: 10.1186/s13195-023-01365-9.
BACKGROUND: Modifiable lifestyle behaviors account for a large proportion of dementia risk. However, the combined contributions of multidomain lifestyle patterns to cognitive aging are poorly understood, as most studies have examined individual lifestyle behaviors in isolation and without neuropathological characterization. This study examined data-driven patterns of lifestyle behaviors across multiple domains among older adults and tested their associations with disease-specific neuropathological burden and cognitive decline. METHODS: Participants included 2059 older adults enrolled in the longitudinal Memory and Aging Project (MAP) at the Rush Alzheimer's Disease Center; none of whom had dementia at baseline (73% no cognitive impairment (NCI), 27% mild cognitive impairment [MCI]). All participants completed cognitive testing annually. Lifestyle factors were measured during at least one visit and included (1) actigraphy-measured physical activity, as well as self-reported (2) sleep quality, (3) life space, (4) cognitive activities, (5) social activities, and (6) social network. A subset of participants (n = 791) had autopsy data for which burden of Alzheimer's disease (AD), cerebrovascular disease (CVD), Lewy body disease, and hippocampal sclerosis/TDP-43 was measured. Latent profile analysis across all 2059 participants identified distinct subgroups (i.e., classes) of lifestyle patterns. Linear mixed-effects models examined relationships between lifestyle classes and global cognitive trajectories, with and without covarying for all neuropathologies. Classes were also compared on rates of incident MCI/dementia. RESULTS: Five classes were identified: Class 1 (lowest lifestyle engagement), Class 2 (high physical activity), Class 3 (low to average lifestyle engagement), Class 4 (high average lifestyle engagement), and Class 5 (large social network). Classes 4 and 5 had the lowest AD burden, and Class 2 had the lowest CVD burden. Classes 2-5 had significantly less steep global cognitive decline compared to Class 1, with comparable effect sizes before and after covarying for neuropathological burden. Classes 4 and 5 exhibited the lowest rates of incident MCI/dementia. CONCLUSIONS: Lifestyle behavior patterns among older adults account for differential rates of cognitive decline and clinical progression. Those with at least average engagement across all lifestyle domains exhibit greater cognitive stability after adjustment for neuropathology, highlighting the importance of engagement in multiple healthy lifestyle behaviors for later life cognitive health.
背景:可改变的生活方式行为占痴呆风险的很大比例。然而,由于大多数研究都是单独检查单一的生活方式行为,而没有进行神经病理学特征描述,因此,多领域生活方式模式对认知老化的综合贡献仍不清楚。本研究在 Rush 阿尔茨海默病中心的纵向记忆与衰老项目(MAP)中,对 2059 名老年人进行了多领域生活方式行为的数据分析,并检验了这些行为与特定疾病的神经病理学负担和认知能力下降之间的关联。
方法:参与者包括 2059 名在 Rush 阿尔茨海默病中心参加纵向记忆与衰老项目(MAP)的老年人;他们在基线时都没有痴呆(73%没有认知障碍(NCI),27%有轻度认知障碍(MCI))。所有参与者每年都进行认知测试。生活方式因素在至少一次就诊时进行测量,包括(1)活动记录仪测量的身体活动,以及自我报告的(2)睡眠质量、(3)生活空间、(4)认知活动、(5)社会活动和(6)社交网络。一部分参与者(n = 791)有尸检数据,用于测量阿尔茨海默病(AD)、脑血管疾病(CVD)、路易体疾病和海马硬化/TDP-43 的负担。对所有 2059 名参与者进行潜在剖面分析,确定了不同的生活方式模式亚组(即类别)。线性混合效应模型检验了生活方式类别与全球认知轨迹之间的关系,同时考虑了所有神经病理学因素的影响。还比较了不同类别发生 MCI/痴呆的比率。
结果:确定了五个类别:第 1 类(最低生活方式参与度)、第 2 类(高身体活动度)、第 3 类(低至中等生活方式参与度)、第 4 类(高中等生活方式参与度)和第 5 类(大社交网络)。第 4 类和第 5 类 AD 负担最低,第 2 类 CVD 负担最低。与第 1 类相比,第 2-5 类的全球认知衰退速度明显较慢,在考虑神经病理学负担后,其效应大小相当。第 4 类和第 5 类发生 MCI/痴呆的比率最低。
结论:老年人的生活方式行为模式导致认知下降和临床进展的差异。那些在所有生活方式领域都有至少中等程度参与的人,在调整神经病理学因素后,表现出更大的认知稳定性,这突出了在晚年保持多种健康生活方式行为的重要性。
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