Temporal Patterns of Change in Physical and Cognitive Performance

Pankaja Desai, Shannon Halloway, Kristin Krueger, Kumar B Rajan, Denis Evans
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Abstract

Background This study examined the relation between declines in physical and cognitive performance in older people. Method A population-based cohort of 7483 adults (average age 72 years) were interviewed. Physical performance was assessed with three standardized tests and a combination of four cognitive tests was used to assess cognitive function. Rate of change in physical and cognitive performance was determined for each interval between interviews. In mixed effects linear regression models adjusted for age, sex, race and study time, and change in each factor was used to predict change in the other factor. We examined time associations by using change in the predictor measured one, two or three intervals before the outcome change. Results Decline in cognitive function was most strongly predicted by physical decline in the same 3-year interval. The decline in cognitive function was weaker in the one-time interval after the decline in physical function and was not significant in later intervals. When a decline in cognitive function was used to predict a decline in physical function, the results were similar. The strongest association occurred in the same time interval so that declines in cognitive and physical performance tend to occur together. Conclusion Decline in cognition and physical function seem to occur together in a short timeframe. It is important to investigate the reasons for these changes that are short-term to guide the development of interventions.
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身体和认知能力变化的时间模式
背景 本研究探讨了老年人体能和认知能力下降之间的关系。方法 对 7483 名成年人(平均年龄 72 岁)进行了人群调查。采用三种标准化测试评估体能,并结合四种认知测试评估认知功能。在每次访谈之间的间隔时间内,确定体能和认知能力的变化率。在混合效应线性回归模型中,对年龄、性别、种族和学习时间进行了调整,并用每个因素的变化来预测其他因素的变化。我们利用结果变化前一个、两个或三个时间间隔测量的预测因子的变化来研究时间关联。结果 同一个 3 年间隔期内,身体机能下降对认知功能下降的预测最强。在身体机能下降后的一个时间间隔内,认知功能下降的程度较弱,而在随后的时间间隔内,认知功能下降的程度并不显著。如果用认知功能的下降来预测身体功能的下降,结果也类似。最强的关联出现在同一时间间隔内,因此认知能力和身体机能的下降往往会同时出现。结论 认知能力和身体机能的下降似乎在短时间内同时出现。研究这些短期变化的原因对于指导干预措施的制定非常重要。
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