The prevalence and associated factors of motoric cognitive risk syndrome in multiple ethnic middle‐aged to older adults in west China: a cross‐sectional study. (4th February 2022)

• Record Type: Journal Article
• Authors: Sun, Xuelian; Harris, Kiyana Elizabeth; Hou, Lisha; Xia, Xin; Liu, Xiaolei; Ge, Meiling; Jia, Shuli; Zhou, Lixing; Zhao, Wanyu; Zhang, Yan; Zhao, Yunli; Mei, Yang; Zhang, Gongchang; Xin, Liuyi; Hao, Qiukui; Shen, Yanjiao; Xiao, Chun; Yue, Jirong; Ge, Ning; Li, Ying; Dong, Birong; Xue, Qianli
• Is Part Of: European journal of neurology. Volume 29:Number 5(2022)
• Page Start: 1354
• Page End: 1365
• Publication Date: 2022-02-04
• Subjects: cognition impairment -- cross‐sectional study -- ethnicity -- motoric cognitive risk syndrome -- pre‐dementia stage -- slow gait speed -- subjective cognition complaint; Neurology -- Periodicals; Nervous system -- Diseases -- Periodicals; 616.8
• DOI: 10.1111/ene.15255
• Languages: English
• ISSNs: 1351-5101

Abstract

Abstract: Background and purpose: Motoric cognitive risk (MCR) syndrome characterized by subjective cognitive complaints and slow gait has been proposed and validated as a pre‐dementia syndrome. The overall and specific ethnic prevalence of MCR and the associated factors are poorly understood in middle‐aged to older community‐dwelling residents in west China. Methods: The present study included 6091 samples from the prospective cohort study, West China Health and Aging Trend (WCHAT). Multidimensional factors of demography, lifestyle, social support, anthropometrics and body components, and clinical status were investigated and analyzed by univariate and multivariate logistic regression models. Lasso regression and K‐fold cross‐validation were conducted to construct the most predictive model with fitted factors. Results: The overall prevalence of MCR was 9.74%, and ethnically the prevalence was 14.25% in Tibetan, 11.03% in Yi, 10.72% in Han, 5.18% in Uighur and 4.55% in Qiang, respectively. In the adjusted models, the positively associated risk factors included diabetes mellitus (odds ratio [OR] = 1.51, p = 0.007), osteoarthritis (OR = 1.50, p = 0.002), depression (OR = 1.36, p = 0.005), poor sleep (OR = 1.21, p = 0.045), comorbidity (OR = 1.49, p = 0.001) and falls in the last 12 months (OR = 1.34, p = 0.031). Of note, every 1‐unit increase of value in stroke was associated with an approximate 3‐fold higher risk of having MCR, whilst in high‐density lipoprotein with a 30% lower risk of MCR, respectively. Conclusions: Profiles of MCR from the aspects of ethnicity and the presenium stage need further exploration. It is a promising strategy to apply MCR as a primary prevention tool to prevent dementia. Abstract : The overall prevalence of MCR was 9.74% (593/6091) in mid‐age and older community‐dwelling adults in west China, and the prevalence varied sharply in different ethnic groups, with the highest being 14.25% in Tibetan and the lowest being 4.55% in Qiang.