Jianping Jia1, Aihong Zhou2, Cuibai Wei2, Xiangfei Jia3, Fen Wang2, Fang Li4, Xiaoguang Wu5, Vincent Mok6, Serge Gauthier7, Muni Tang8, Lan Chu9, Youlong Zhou10, Chunkui Zhou11, Yong Cui12, Qi Wang2, Weishan Wang13, Peng Yin14, Nan Hu14, Xiumei Zuo2, Haiqing Song2, Wei Qin2, Liyong Wu2, Dan Li2, Longfei Jia15, Juexian Song2, Ying Han2, Yi Xing2, Peijie Yang2, Yuemei Li2, Yuchen Qiao2, Yi Tang2, Jihui Lv13, Xiumin Dong2. 1. Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, People's Republic of China. Electronic address: jjp@ccmu.edu.cn. 2. Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, People's Republic of China. 3. Department of Computer Science, University of Otago, Dunedin, New Zealand. 4. Department of Neurology, Fu Xing Hospital, Capital Medical University, Beijing, People's Republic of China. 5. Evidence-Based Medicine Center, Xuan Wu Hospital, Capital Medical University, Beijing, People's Republic of China. 6. Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China. 7. McGill Center for Studies in Aging, McGill University, Montreal, Quebec, Canada. 8. Department of Geriatrics, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical College, Guangzhou, Guangdong Province, People's Republic of China. 9. Department of Neurology, Affiliated Hospital of Guiyang Medical College, Guiyang, Guizhou Province, People's Republic of China. 10. Department of Neurology, Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan Province, People's Republic of China. 11. Department of Neurology, First Hospital of Jilin University, Changchun, Jinlin Province, People's Republic of China. 12. Department of Neurology, Fourth Hospital of Jilin University, Changchun, Jinlin Province, People's Republic of China. 13. Department of Neurology, Beijing Geriatric Hospital, Beijing, People's Republic of China. 14. National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, People's Republic of China. 15. Department of Neurology, Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.
Abstract
BACKGROUND: Epidemiologic studies on mild cognitive impairment (MCI) are limited in China. METHODS: Using a multistage cluster sampling design, a total of 10,276 community residents (6096 urban, 4180 rural) aged 65 years or older were evaluated and diagnosed with normal cognition, MCI, or dementia. MCI was further categorized by imaging into MCI caused by prodromal Alzheimer's disease (MCI-A), MCI resulting from cerebrovascular disease (MCI-CVD), MCI with vascular risk factors (MCI-VRF), and MCI caused by other diseases (MCI-O). RESULTS: The prevalences of overall MCI, MCI-A, MCI-CVD, MCI-VRF, and MCI-O were 20.8% (95% confidence interval [CI] = 20.0-21.6%), 6.1% (95% CI = 5.7-6.6%), 3.8% (95% CI = 3.4-4.2%), 4.9% (95% CI = 4.5-5.4%), and 5.9% (95% CI = 5.5-6.4%) respectively. The rural population had a higher prevalence of overall MCI (23.4% vs 16.8%, P < .001). CONCLUSIONS: The prevalence of MCI in elderly Chinese is higher in rural than in urban areas. Vascular-related MCI (MCI-CVD and MCI-VRF) was most common.
BACKGROUND: Epidemiologic studies on mild cognitive impairment (MCI) are limited in China. METHODS: Using a multistage cluster sampling design, a total of 10,276 community residents (6096 urban, 4180 rural) aged 65 years or older were evaluated and diagnosed with normal cognition, MCI, or dementia. MCI was further categorized by imaging into MCI caused by prodromal Alzheimer's disease (MCI-A), MCI resulting from cerebrovascular disease (MCI-CVD), MCI with vascular risk factors (MCI-VRF), and MCI caused by other diseases (MCI-O). RESULTS: The prevalences of overall MCI, MCI-A, MCI-CVD, MCI-VRF, and MCI-O were 20.8% (95% confidence interval [CI] = 20.0-21.6%), 6.1% (95% CI = 5.7-6.6%), 3.8% (95% CI = 3.4-4.2%), 4.9% (95% CI = 4.5-5.4%), and 5.9% (95% CI = 5.5-6.4%) respectively. The rural population had a higher prevalence of overall MCI (23.4% vs 16.8%, P < .001). CONCLUSIONS: The prevalence of MCI in elderly Chinese is higher in rural than in urban areas. Vascular-related MCI (MCI-CVD and MCI-VRF) was most common.
Authors: Y-B Lv; Z X Yin; C-L Chei; M S Brasher; J Zhang; V B Kraus; F Qian; X-M Shi; D B Matchar; Y Zeng Journal: J Nutr Health Aging Date: 2016-03 Impact factor: 4.075