Department of Psychiatry, Shanghai Pudong New Area Mental Heath Center, Tongji University School of Medicine, Shanghai 200124, China.
Biomed Res Int. 2020 Feb 8;2020:3054373. doi: 10.1155/2020/3054373. eCollection 2020.
In this study, we aimed to conduct a 6-year follow-up and acquire a large sample dataset to analyze the most important demographic factors and cognitive function scale variables associated with mild cognitive impairment (MCI) progression for an elderly cohort (age ≥ 60 years old). We analyzed the subjects who had participated in a survey in 2011 and were successfully contacted in the later survey in 2017. For each subject, the basic demographic information was recorded, including sex, age, education level, marital status, working status, income level, and physical mental illness history. Cognitive assessments were performed using the following scales if possible: (1) the mini-mental state examination (MMSE) scale, (2) Montreal cognitive assessment (MoCA), (3) the clinical dementia rating (CDR) scale, and (4) Hamilton Depression Scale (HAMD-17).
The progression outcomes were different between sexes, among age brackets, education degrees, occupations types, and income levels; different progression groups had distinct children numbers ( < 0.001), heights ( < 0.001), heights ( < 0.001), heights ( < 0.001), heights (.
In conclusion, the MCI progression outcomes were associated with sex, age, education degrees, occupations types, income level, children number, height, and weight. MoCA and MMSE scales are supporting tools to predict the progression outcomes, especially combined with the demographic data.
本研究旨在进行 6 年随访，并获得大量样本数据集，以分析与老年队列（年龄≥60 岁）轻度认知障碍（MCI）进展相关的最重要人口统计学因素和认知功能量表变量。我们分析了 2011 年参加调查并在 2017 年后续调查中成功联系到的受试者。对于每个受试者，记录了基本人口统计学信息，包括性别、年龄、教育水平、婚姻状况、工作状况、收入水平和身体精神病史。如果可能，使用以下量表进行认知评估：（1）简易精神状态检查（MMSE）量表，（2）蒙特利尔认知评估（MoCA），（3）临床痴呆评定量表（CDR）和（4）汉密尔顿抑郁量表（HAMD-17）。
性别、年龄组、教育程度、职业类型和收入水平之间的进展结果不同；不同的进展组儿童人数明显不同（<0.001），身高（<0.001），身高（<0.001），身高（<0.001），身高（<0.001）。
总之，MCI 进展结果与性别、年龄、教育程度、职业类型、收入水平、儿童人数、身高和体重有关。MoCA 和 MMSE 量表是预测进展结果的辅助工具，尤其是结合人口统计学数据。
