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Cognitive lifestyle jointly predicts longitudinal cognitive decline and mortality risk

机译:认知生活方式共同预测纵向认知能力下降和死亡风险

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摘要

Cognitive lifestyle measures such as education, occupation, and social engagement are commonly associated with late-life cognitive ability although their associations with cognitive decline tend to be mixed. However, longitudinal analyses of cognition rarely account for death and dropout, measurement error of the cognitive phenotype, and differing trajectories for different population sub-groups. This paper applies a joint latent class mixed model (and a multi-state model in a sensitivity analysis) that accounts for these issues to a large (n = 3,653), population-based cohort, Paquid, to model the relationship between cognitive lifestyle and cognitive decline. Cognition was assessed over a 20-year period using the Mini-Mental State Examination. Three cognitive lifestyle variables were assessed: education, mid-life occupation, and late-life social engagement. The analysis identified four latent sub-populations with class-specific longitudinal cognitive decline and mortality risk. Irrespective of the cognitive trajectory, increased social engagement was associated with a decreased mortality risk. High education was associated with the most favourable cognitive trajectory, and after adjusting for cognitive decline, with an increased mortality risk. Mid-life occupational complexity was also associated with more favourable trajectories but not with mortality risk. To realistically examine the link between cognitive lifestyle and cognitive decline, complex statistical models are required. This paper applies and compares in a sensitivity analysis two such models, and shows education to be linked to a compression of cognitive morbidity irrespective of cognitive trajectory. Furthermore, a potentially modifiable variable, late-life social engagement is associated with a decreased mortality risk in all of the population sub-groups.Electronic supplementary materialThe online version of this article (doi:10.1007/s10654-014-9881-8) contains supplementary material, which is available to authorized users.
机译:尽管教育生活方式,认知度,职业和社交参与度等认知能力指标与认知能力下降之间的关系往往混杂在一起,但它们通常与晚年的认知能力相关。然而,对认知的纵向分析很少考虑死亡和辍学,认知表型的测量误差以及针对不同人群亚组的不同轨迹。本文将一个联合潜在类别混合模型(以及敏感性分析中的多状态模型)应用于一个大型(n = 3,653),基于人群的队列Paquid,以模拟认知生活方式与认知能力下降。使用迷你精神状态考试对认知度进行了20年的评估。评估了三种认知生活方式变量:教育,中年职业和晚年社会参与。分析确定了四个潜在的亚群,具有特定类别的纵向认知能力下降和死亡风险。不论认知轨迹如何,社交参与度的提高都与死亡风险的降低有关。高等教育与最有利的认知轨迹有关,并且在对认知能力下降进行调整后,死亡风险增加。中年职业的复杂性也与更有利的轨迹相关,但与死亡风险无关。为了现实地检查认知生活方式和认知下降之间的联系,需要复杂的统计模型。本文在敏感性分析中应用和比较了两个这样的模型,并且表明教育与认知发病率的压缩有关,而与认知轨迹无关。此外,在所有人群中,潜在的可变变量,后期的社会参与与降低的死亡风险相关。电子补充材料本文的在线版本(doi:10.1007 / s10654-014-9881-8)包含补充材料,授权用户可以使用。

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