Fei Ma, Qu Yi Cheng, Wang Ting, Yin Jiong, Bai Jing Xu, Ding Qi Han
Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China.
Alzheimer Dis Assoc Disord. 2009 Apr-Jun;23(2):130-8. doi: 10.1097/WAD.0b013e318190a59d.
The epidemiology on "cognitive impairment no dementia" (CIND) and its natural history are of great importance for understanding the transition from normal aging to dementia. Epidemiologic studies of CIND, however, are limited in China. The goal of our study was to determine the prevalence and distribution of CIND in the aged population and analyze socio-demographic factors. To accomplish this, we performed cluster random sampling of 6192 people aged over 65 years in Taiyuan, a metropolitan city located in northern China. Socio-demographic factors were surveyed by self-administered questionnaires. Neuropsychologic testing consisting of the Mini-Mental State Examination, Boston Naming Test, Trail Making Tests A and B, Block Design, Rey Auditory Verbal Learning Test, Visual Reproduction, Logical Memory, letter and category fluency, the National Adult Reading Test, the Geriatric Depression Scale, and the "state" section of the State-Trait Anxiety Inventory was also obtained. Pearson chi statistics and odds ratio with 95% confidence intervals were used to identify the relationship between CIND and socio-demographic factors. Logistic regression modeling was undertaken to identify potential risk factors. Results showed that an overall prevalence of CIND was 9.70% (95% confidence intervals: 9.62%-9.77%). Univariate analyses showed that the prevalence of CIND differed significantly according to age, sex, education level, monthly household income, and marital status (P<0.01), but not by occupational achievement (P>0.05). In a multiple logistic regression analysis, age, sex, marital status, educational level, and occupation were significantly associated with increased risk for CIND (P<0.01). This study confirms the high prevalence of CIND among the elderly population of China, similar to previous epidemiologic studies in other countries. Nearly all socio-demographic characteristics are associated with CIND. The putative risk factors identified merit further study.
“非痴呆性认知障碍”（CIND）的流行病学及其自然史对于理解从正常衰老到痴呆的转变至关重要。然而，中国关于CIND的流行病学研究有限。我们研究的目的是确定老年人群中CIND的患病率和分布情况，并分析社会人口学因素。为实现这一目标，我们对中国北方大城市太原市6192名65岁以上的人群进行了整群随机抽样。通过自填问卷对社会人口学因素进行了调查。还进行了神经心理学测试，包括简易精神状态检查表、波士顿命名测试、连线测验A和B、积木设计、雷伊听觉词语学习测验、视觉复制、逻辑记忆、字母和类别流畅性、国家成人阅读测验、老年抑郁量表以及状态-特质焦虑量表的“状态”部分。采用Pearson卡方统计和95%置信区间的比值比来确定CIND与社会人口学因素之间的关系。进行逻辑回归建模以确定潜在风险因素。结果显示，CIND的总体患病率为9.70%（95%置信区间：9.62%-9.77%）。单因素分析表明，CIND的患病率根据年龄、性别、教育水平、家庭月收入和婚姻状况存在显著差异（P<0.01），但与职业成就无关（P>0.05）。在多因素逻辑回归分析中，年龄、性别、婚姻状况、教育水平和职业与CIND风险增加显著相关（P<0.01）。本研究证实了中国老年人群中CIND的高患病率，这与其他国家先前的流行病学研究结果相似。几乎所有社会人口学特征都与CIND有关。所确定的假定风险因素值得进一步研究。
Zotero 插件