精细或粗大运动指数作为预测老年人认知障碍的简单工具：爱尔兰老龄化纵向研究（TILDA）的结果

Fine or Gross Motor Index as a Simple Tool for Predicting Cognitive Impairment in Elderly People: Findings from The Irish Longitudinal Study on Ageing (TILDA).

作者信息

Liu Xiao, Abudukeremu Ayiguli, Jiang Yuan, Cao Zhengyu, Wu Maoxiong, Sun Runlu, Chen Zhiteng, Chen Yangxin, Zhang Yuling, Wang Jingfeng

机构信息

Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

出版信息

J Alzheimers Dis. 2021;83(2):889-896. doi: 10.3233/JAD-210704.

DOI:10.3233/JAD-210704

PMID:34366357

Abstract

BACKGROUND

Several kinds of motor dysfunction can predict future cognitive impairment in elderly individuals. However, the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of cognitive impairment has not been assessed.

OBJECTIVE

We investigated the associations between FINEA/GROSSA and cognitive impairment.

METHODS

The data of 4,745 participants from The Irish Longitudinal Study on Ageing (TILDA) were analyzed. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). We first assessed the correlation between the FINEA/GROSSA and MMSE in a cross-sectional study. Then, we further investigated the predictive role of the incidence of cognitive impairment in a prospective cohort study.

RESULTS

We found that both FINEA and GROSSA were negatively correlated with MMSE in both the unadjusted (FINEA: B = -1.00, 95%confidence intervals (CI): -1.17, -0.83, t = -11.53, p < 0.001; GROSSA: B = -0.85, 95%CI: -0.94, -0.76, t = -18.29, p < 0.001) and adjusted (FINEA: B = -0.63, 95%CI: -0.79, -0.47, t = -7.77, p < 0.001; GROSSA: B = -0.57, 95%CI: -0.66, -0.48, t = -12.61, p < 0.001) analyses in a cross-sectional study. In a prospective cohort study, both high FINEA and high GROSSA were associated with an increased incidence of cognitive function impairment (FINEA: adjusted odds ratios (OR) = 2.35, 95%CI: 1.05, 5.23, p = 0.036; GROSSA adjusted OR = 3.00, 95%CI: 1.49, 6.03, p = 0.002) after 2 years of follow-up.

CONCLUSION

Higher FINEA and GROSSA scores were both associated with an increased incidence of cognitive impairment. FINEA or GROSSA might be a simple tool for identifying patients with cognitive impairment.

摘要

背景

多种运动功能障碍可预测老年人未来的认知障碍。然而，精细运动指数（FINEA）和粗大运动指数（GROSSA）预测认知障碍风险的能力尚未得到评估。

目的

我们研究了FINEA/GROSSA与认知障碍之间的关联。

方法

分析了来自爱尔兰老龄化纵向研究（TILDA）的4745名参与者的数据。使用简易精神状态检查表（MMSE）评估认知功能。我们首先在横断面研究中评估FINEA/GROSSA与MMSE之间的相关性。然后，我们在一项前瞻性队列研究中进一步研究认知障碍发病率的预测作用。

结果

我们发现，在横断面研究的未调整分析（FINEA：B = -1.00，95%置信区间（CI）：-1.17，-0.83，t = -11.53，p < 0.001；GROSSA：B = -0.85，95%CI：-0.94，-0.76，t = -18.29，p < 0.001）和调整分析（FINEA：B = -0.63，95%CI：-0.79，-0.47，t = -7.77，p < 0.001；GROSSA：B = -0.57，95%CI：-0.66，-0.48，t = -12.61，p < 0.001）中，FINEA和GROSSA均与MMSE呈负相关。在一项前瞻性队列研究中，经过2年的随访，高FINEA和高GROSSA均与认知功能障碍发病率增加相关（FINEA：调整后的比值比（OR）= 2.35，95%CI：1.05，5.23，p = 0.036；GROSSA调整后的OR = 3.00，95%CI：1.49，6.03，p = 0.002）。