Prevalence of gender disparities and predictors affecting the occurrence of mild cognitive impairment (MCI)
Prevalence of gender disparities and predictors affecting the occurrence of mild cognitive impairment (MCI)
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DOI：
10.1016/j.archger.2011.03.015
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发表时间：
2012-01-01
影响因子：
4
通讯作者：
Aziz, Safiyyah Abdul
中科院分区：
文献类型：
--
作者：
Lee, Lai Kuan;Shahar, Suzana;Aziz, Safiyyah Abdul
目的是调查轻度认知障碍（MCI）的患病率在马来西亚老年人的性别差异，并根据性别差异确定MCI的预测因素。从吉隆坡的切拉斯招募了60岁及以上的城市多种族居住老年人的社区样本。采用综合神经心理成套测验评估所有类型MCI、遗忘型MCI（am-MCI）和非遗忘型MCI（nam-MCI）的患病率。研究了人口统计学、社会经济地位、生活方式、营养状况和健康危险因素与MCI之间的关系。确定了性别差异之间MCI发生的预测因素。全型MCI、am-MCI和nam-MCI的患病率分别为21.1%、15.4%和5.7%。二元逻辑回归分析表明，高胆固醇血症是男性MCI的重要预测因素，调整后的年龄，种族和总教育年限。而在女性中，MCI的最佳预测因素是婚姻状况、没有锻炼、超重和肥胖。这些结果表明，大约五分之一的老年人患有MCI。MCI的预测因素在男性和女性之间完全不同。识别MCI风险较高的人群至关重要，以便实施预防措施来延迟或逆转这种异常情况。(C)2011年由Elsevier爱尔兰有限公司出版。
The aims were to investigate the prevalence of mild cognitive impairment (MCI) within gender disparities in Malaysian older adults, and to determine the predictors of MCI according to gender disparities. A community-based sample of urban, multiethnic dwelling elderly aged 60 years of age and above from Cheras, Kuala Lumpur was recruited. Prevalence of all-type MCI, amnestic-type MCI (am-MCI) and non-amnestic-type MCI (nam-MCI) was assessed using comprehensive neuropsychological batteries. The association between demography, socioeconomic status, lifestyle practices, and nutritional status and health risk factors with MCI were examined. Predictors of MCI occurrence between gender disparities were determined. The prevalence of all-type MCI, am-MCI and nam-MCI was 21.1%, 15.4% and 5.7%, respectively. Binary logistic regression indicated that hypercholesterolemia is the significant predictor for MCI in men after adjustment for age, ethnicity and total years of education. While, in women, MCI was best predicted by married status, without exercise practice, overweight and obesity. These results suggest that approximately one-fifth of the studied elderly people had MCI. Predictors for MCI are totally different between men and women. It is critical to identify those at higher risk for MCI in order to implement preventative measures to delay or reverse this abnormal condition. (C) 2011 Published by Elsevier Ireland Ltd.