Cognitive functioning and health as determinants of mortality in an older population.

Cognitive functioning and health as determinants of mortality in an older population.
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DOI:
10.1093/oxfordjournals.aje.a010107
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发表时间:
1999-11
影响因子:
5
通讯作者:
C. Smits;D. Deeg;D. Kriegsman;B. Schmand
C. Smits;D. Deeg;D. Kriegsman;B. Schmand
中科院分区:
医学2区
文献类型:
--
作者:
C. Smits;D. Deeg;D. Kriegsman;B. Schmand

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作者研究了认知功能预测死亡率的能力是普遍的还是特定的,他们考虑了健康在认知-死亡率关联中的作用。数据来自于1992-1993年荷兰阿姆斯特丹纵向老龄化研究的2380名55-85岁的人的样本。五项认知测量:一般认知功能、信息处理速度、流体智力、学习和保留比例。在平均1215天的随访期间获得死亡率数据。Cox比例风险回归模型显示,所有认知功能预测死亡率与年龄、性别、教育程度和抑郁症状无关。当健康(自我评估健康、药物使用、身体表现、功能限制、肺功能、特定慢性疾病)也被考虑在内时,信息处理速度、流体智力和保留比例仍然是死亡率的独立预测因子,而一般认知功能和学习能力则丧失了确定死亡率的能力。作者的结论是,当考虑到年龄、性别、教育和抑郁症状时,认知功能预测死亡率的能力普遍适用于研究中包括的所有认知功能,并且在控制健康的情况下,对某些功能更有针对性。
The authors studied whether the ability of cognitive functioning to predict mortality is pervasive or specific, and they considered the role of health in the cognition-mortality association. Data were taken from a sample of 2,380 persons aged 55-85 years who took part in the Netherlands' Longitudinal Aging Study Amsterdam in 1992-1993. Five cognitive measures were distinguished: general cognitive functioning, information processing speed, fluid intelligence, learning, and proportion retained. Mortality data were obtained during an average follow-up period of 1,215 days. Cox proportional hazards regression models revealed that all cognitive functions predicted mortality independent of age, sex, education, and depressive symptoms. When health (self-rated health, medication use, physical performance, functional limitations, lung function, specific chronic diseases) was also taken into account, information processing speed, fluid intelligence, and proportion retained remained independent predictors of mortality, whereas the ability of general cognitive functioning and learning to determine mortality was lost. The authors concluded that the ability of cognitive functioning to predict mortality is pervasive to all cognitive functions that were included in the study when age, sex, education, and depressive symptoms are considered and is more specific to some functions when also controlling for health.