Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Department of Nutrition and Food Science, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
J Neurol. 2022 Jun;269(6):3147-3158. doi: 10.1007/s00415-021-10886-y. Epub 2021 Nov 28.
The prevalence of dementia in China, particularly in rural areas, is consistently increasing; however, research on population-attributable fractions (PAFs) of risk factors for dementia is scarce.
We conducted a cross-sectional survey, namely, the China Multicentre Dementia Survey (CMDS) in selected rural and urban areas from 2018 to 2020. We performed face-to-face interviews and neuropsychological and clinical assessments to reach a consensus on dementia diagnosis. Prevalence and weighted PAFs of eight modifiable risk factors (six classical: less childhood education, hearing impairment, depression, physical inactivity, diabetes, and social isolation, and two novels: olfactory decline and being unmarried) for all-cause dementia were estimated.
Overall, CMDS included 17,589 respondents aged ≥ 65 years, 55.6% of whom were rural residents. The age- and sex-adjusted prevalence for all-cause dementia was 9.11% (95% CI 8.96-9.26), 5.19% (5.07-5.31), and 11.98% (11.8-12.15) in the whole, urban, and rural areas of China, respectively. Further, the overall weighted PAFs of the eight potentially modifiable risk factors were 53.72% (95% CI 52.73-54.71), 50.64% (49.4-51.89), and 56.54% (55.62-57.46) in the whole, urban, and rural areas of China, respectively. The eight risk factors' prevalence differed between rural and urban areas. Lower childhood education (PAF: 13.92%) and physical inactivity (16.99%) were primary risk factors in rural and urban areas, respectively.
The substantial urban-rural disparities in the prevalence of dementia and its risk factors exist, suggesting the requirement of resident-specific dementia-prevention strategies.
中国的痴呆症患病率,特别是在农村地区,持续上升;然而,针对痴呆症风险因素的人群归因分数(PAF)的研究却很少。
我们进行了一项横断面调查,即 2018 年至 2020 年在中国选定的农村和城市地区开展的中国多中心痴呆症调查(CMDS)。我们进行了面对面访谈和神经心理学及临床评估,以就痴呆症诊断达成共识。我们估计了所有原因导致的痴呆症的 8 种可改变风险因素(6 种经典因素:受教育程度较低、听力障碍、抑郁、身体活动不足、糖尿病和社会孤立,以及 2 种新出现的因素:嗅觉减退和未婚)的患病率和加权 PAF。
总体而言,CMDS 纳入了 17589 名年龄≥65 岁的受访者,其中 55.6%为农村居民。经年龄和性别调整后,中国全人群、城市和农村地区的所有原因导致的痴呆症的患病率分别为 9.11%(95%CI 8.96-9.26)、5.19%(5.07-5.31)和 11.98%(11.8-12.15)。此外,8 种潜在可改变风险因素的总体加权 PAF 分别为 53.72%(95%CI 52.73-54.71)、50.64%(49.4-51.89)和 56.54%(55.62-57.46),分别在中国全人群、城市和农村地区。8 种风险因素的患病率在城乡之间存在差异。农村和城市地区的主要风险因素分别是较低的受教育程度(PAF:13.92%)和身体活动不足(16.99%)。
痴呆症及其风险因素在城乡之间存在显著的差异,这表明需要制定针对居民的痴呆症预防策略。