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Objective To investigate the prevalence and influencing factors of mild cognitive impairment (MCI) in the elderly in China, so as to provide scientific basis for slowing down the decline of cognitive function and improving their quality of life. Methods Based on the theory of health ecology, people aged 65 and above were selected from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). The research subjects with dementia and missing key variables were excluded, and finally 11 157 elderly people were included. Multivariate unconditional Logistic regression was used to analyze the influencing factors of MCI in Chinese elderly. Results In this study, 1 526 people ≥ 65 years old had MCI, and the prevalence rate of MCI was 13.7%. The results of multivariate unconditional Logistic regression showed that female (OR=1.242, 95%CI: 1.061-1.455) and advanced age (80 to 94 years old: OR=1.744, 95%CI: 1.359-2.239; ≥ 95 years old: OR=3.014, 95%CI: 2.272-3.998), self-rated worse health status (OR=2.308, 95%CI: 1.202-4.433), hearing impairment (OR=4.760, 95%CI: 4.129-5.487), no exercise(OR=1.204, 95%CI: 1.006-1.441), low score of healthy diet (1-2) (OR=1.562, 95%CI: 1.288-1.894), no social participation activities (housework, social activities, recreational activities, social activities), long sleep time (> 8 hours) (OR=1.347, 95%CI:1.156-1.569), disability (OR=2.987, 95%CI: 2.246-3.974), instrumental activity of daily living (IADL) impairment (OR=3.347,95%CI: 2.510-4.462), living in elderly care institutions (OR=1.569, 95%CI: 1.136-2.166), and poor economic accessibility of medical services (OR=1.155, 95%CI: 1.005-1.328) were risk factors for MCI among the elderly in China. Conclusion The prevalence of MCI in the elderly in China is grim. Gender, age, self-rated health status, hearing function, exercise, healthy diet score, social participation, sleep duration, ADL, IADL, living style, and accessibility of medical services are the main influencing factors of the disease in Chinese elderly. Multi-dimensional and systematic intervention measures are needed to slow down the cognitive decline of the elderly in China.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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