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自我报告的健康行为与中老年人群的纵向认知表现:来自威斯康星州阿尔茨海默病预防注册研究的结果。

Self-reported health behaviors and longitudinal cognitive performance in late middle age: Results from the Wisconsin Registry for Alzheimer's Prevention.

机构信息

Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States of America.

Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States of America.

出版信息

PLoS One. 2020 Apr 23;15(4):e0221985. doi: 10.1371/journal.pone.0221985. eCollection 2020.

Abstract

BACKGROUND

Studies have suggested associations between self-reported engagement in health behaviors and reduced risk of cognitive decline. Most studies explore these relationships using one health behavior, often cross-sectionally or with dementia as the outcome. In this study, we explored whether several individual self-reported health behaviors were associated with cognitive decline when considered simultaneously, using data from the Wisconsin Registry for Alzheimer's Prevention (WRAP), an Alzheimer's disease risk-enriched cohort who were non-demented and in late midlife at baseline.

METHOD

We analyzed longitudinal cognitive data from 828 participants in WRAP, with a mean age at baseline cognitive assessment of 57 (range = 36-78, sd = 6.8) and an average of 6.3 years (standard deviation = 1.9, range = 2-10) of follow-up. The primary outcome was a multi-domain cognitive composite, and secondary outcomes were immediate/delayed memory and executive function composites. Predictors of interest were self-reported measures of physical activity, cognitive activity, adherence to a Mediterranean-style diet (MIND), and interactions with each other and age. We conducted linear mixed effects analyses within an Information-theoretic (IT) model averaging (MA) approach on a set of models including covariates and combinations of these 2- and 3-way interactions. The IT approach was selected due to the large number of interactions of interest and to avoid pitfalls of traditional model selection approaches.

RESULTS

Model-averaged results identified no significant self-reported health behavior*age interactions in relationship to the primary composite outcome. In secondary outcomes, higher MIND diet scores associated with slower decline in executive function. Men showed faster decline than women on delayed memory, independent of health behaviors. There were no other significant interactions among any other health behaviors and cognitive trajectories.

CONCLUSIONS

When multiple covariates and health behaviors were considered simultaneously, there were limited weak associations with cognitive decline in this age range. These results may be explained alone or in combination by three alternative explanations: 1) the range of cognitive decline is in middle age is too small to observe relationships with health behaviors, 2) the putative associations of these health behaviors on cognition may not be robust in this age range, or 3) the self-reported measures of the health behaviors may not be optimal for predicting cognitive decline. More study may be needed that incorporates sensitive measures of health behaviors, AD biomarker profiles, and/or other disease comorbidities.

摘要

背景

研究表明,自我报告的健康行为与认知能力下降风险降低之间存在关联。大多数研究使用一种健康行为进行探索,通常是横断面研究或痴呆症作为结局。在这项研究中,我们使用威斯康星州阿尔茨海默病预防注册处(WRAP)的数据,该研究是一个阿尔茨海默病风险丰富的队列,在基线时无痴呆且处于中年后期,同时考虑了几种自我报告的健康行为,探讨了这些行为之间的关联。

方法

我们分析了 WRAP 中 828 名参与者的纵向认知数据,基线认知评估时的平均年龄为 57 岁(范围= 36-78,标准差= 6.8),平均随访 6.3 年(标准差= 1.9,范围= 2-10)。主要结局是多领域认知综合评分,次要结局是即时/延迟记忆和执行功能综合评分。感兴趣的预测因素是自我报告的身体活动、认知活动、地中海饮食(MIND)依从性以及它们之间的相互作用和年龄。我们在信息理论(IT)模型平均(MA)方法内进行了线性混合效应分析,该方法包含协变量和这些 2-和 3 路相互作用的组合。选择 IT 方法是因为有大量感兴趣的相互作用,并且为了避免传统模型选择方法的陷阱。

结果

模型平均结果表明,在主要综合结局方面,自我报告的健康行为与年龄之间没有显著的相互作用。在次要结局中,较高的 MIND 饮食评分与执行功能的较慢下降相关。男性在延迟记忆方面的下降速度快于女性,与健康行为无关。在其他任何健康行为与认知轨迹之间没有其他显著的相互作用。

结论

当同时考虑多个协变量和健康行为时,在这个年龄段认知能力下降的相关性很弱。这些结果可能单独或组合解释为:1)中年认知下降的范围太小,无法观察到与健康行为的关系;2)这些健康行为对认知的假定关联在这个年龄段可能不稳健;3)自我报告的健康行为测量可能不是预测认知下降的最佳方法。可能需要更多的研究,包括敏感的健康行为测量、AD 生物标志物谱和/或其他疾病合并症。

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