Characteristics and related risk factors of mild cognitive impairment in middle-aged and elderly adults in a coal mine community
10.3760/cma.j.cn431274-20210115-00062
- VernacularTitle:煤矿社区中老年人轻度认知功能障碍特点及相关危险因素分析
- Author:
Kaixuan ZHANG
1
;
Jingxiang HAN
;
Yining ZHAO
;
Libo LIU
;
Sisi WANG
;
Shaotong QU
;
Wenqi ZHANG
;
Shuhui XU
;
Mingjie YAO
;
Lei ZHANG
;
Tao MENG
;
Jiezhong YU
Author Information
1. 山西大同大学医学院脑科学研究所，大同 037009
- Keywords:
Cognitive dysfunction;
Middle aged;
Aged;
Risk factors
- From:
Journal of Chinese Physician
2022;24(2):231-235
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the characteristic of mild cognitive impairment (MCI) in the adults aged 48 years and over in a coal mine community, and to analyze its associated risk factors.Methods:From July to October 2019, a questionnaire survey for basic information was conducted among 180 middle-aged and elderly adults who met the inclusion criteria in the Datong coal mine community. The cognitive function was evaluated by Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). The effects of gender, age, years of education, sleep, living alone, physical exercise, social activities, smoking and drinking status, body mass index and chronic diseases on cognitive level were analyzed by single factor stratification and multiple linear regression.Results:There was no significant difference in the positive rate of MCI screened by MMSE and MoCA in the age groups of 48-<64, 64-<72 and 72-90 (original and corrected P>0.05); The positive rate of MCI in MoCA screening (64.4%, 66.7%, 60.9%) was significantly higher than that in MMSE (35.6%, 45.6%, 28.1%) (all P<0.05); MMSE was positively correlated with MoCA score ( r=0.762, P<0.001). With the increase of age, the scores of memory, execution and visual space detected by MoCA decreased significantly (all P<0.05), while the scores of attention, language and orientation did not change significantly (all P>0.05). Univariate stratification showed that the significant influencing factors of MMSE or MoCA scores were gender, age, years of education and sleep status (all P<0.05). Multiple linear regression analysis showed that gender ( βMMSE=-0.192; βMoCA=-0.140), years of education ( βMMSE=0.209; βMoCA=0.328) and sleep status( βMMSE=-0.162; βMoCA=-0.136) were risk factors affecting MMSE and MoCA scores ( P<0.05). Conclusions:More middle-aged and elderly adults with MCI might be observed in a coal mine community, and the main characteristics of MCI are impaired memory, executive function and visual space. To prevent and reduce the occurrence of dementia, early interventions of MCI should be carried out among the adults with female, old age, low years of education and poor sleep quality.
