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Prevalence/potential risk factors for motoric cognitive risk and its relationship to falls in elderly Chinese people: a cross‐sectional study

医学 优势比 置信区间 神经认知 逻辑回归 老人忧郁量表 人口学 萧条(经济学) 最佳步行速度 队列 横断面研究 内科学 认知 物理疗法 精神科 抑郁症状 经济 社会学 病理 宏观经济学
作者
Jing-Lin Yuan,Ruxing Zhao,Yong Ma,Xiaodong Li,Xianshi Zhou,Xiaofeng Wang,Xiaoyan Jiang,Shujuan Li
出处
期刊:European Journal of Neurology [Wiley]
卷期号:28 (8): 2680-2687 被引量:9
标识
DOI:10.1111/ene.14884
摘要

Abstract Background and purpose Motoric cognitive risk syndrome (MCR) is characterized by slow walking speed and subjective memory complaints (SMCs). This study investigated the prevalence and potential risk factors of MCR and its association with falls in Chinese community‐dwelling older adults. Methods The analysis was based on data from the Rugao Longevity and Aging Study (RuLAS). MCR was defined as the presence of both SMCs and slow walking speed in participants free of major neurocognitive disorders. SMCs were determined according to a positive answer to the question ‘Do you feel you have more problems with memory than most?’ in the 15‐item Geriatric Depression Scale. Slow walking speed was defined as one standard deviation or more below the mean value for patients’ age and sex. Data on falls were derived from a standardized questionnaire. Results The prevalence of SMCs, slow walking speed and MCR in the RuLAS cohort ( N = 1592) was 51.9%, 15.6% and 8.3%, respectively. After adjusting for other covariates, an occupation of farming (odds ratio [OR] 2.358, 95% confidence interval [CI] 1.007–5.521, p = 0.048), history of cerebrovascular disease (OR 2.215, 95% CI 1.032–4.752, p = 0.041) and hospitalization (OR 2.008, 95% CI 1.120–3.602, p = 0.019) were risk factors for MCR. Binary logistic regression analysis indicated that the risk of falls was increased by MCR (OR 1.547, 95% CI 1.009–2.371), SMC (OR 1.308, 95% CI 1.003–1.707) and slow walking speed (OR 1.442, 95% CI 1.030–2.017). Conclusions Early identification of potential risk factors of MCR can prevent the occurrence of adverse health events such as falls in the elderly.

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