Department of Nutrition and Dietetics, Faculty of Allied Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia.
Arch Gerontol Geriatr. 2012 Jan-Feb;54(1):185-91. doi: 10.1016/j.archger.2011.03.015. Epub 2011 May 5.
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.
目的在于调查马来西亚老年人中存在的轻度认知障碍（MCI）在性别差异方面的流行情况，并根据性别差异确定 MCI 的预测因素。我们招募了来自吉隆坡蕉赖的城市、多民族居住的 60 岁及以上的社区样本。使用全面的神经心理学测试工具评估所有类型的 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、生活方式实践和营养状况与健康风险因素与 MCI 之间的关系。确定了性别差异之间 MCI 发生的预测因素。所有类型的 MCI、am-MCI 和 nam-MCI 的患病率分别为 21.1%、15.4%和 5.7%。二元逻辑回归表明，在校正年龄、种族和总受教育年限后，高胆固醇血症是男性 MCI 的重要预测因素。而对于女性，已婚状态、缺乏运动锻炼、超重和肥胖是 MCI 的最佳预测因素。这些结果表明，大约五分之一的研究老年人患有 MCI。MCI 的预测因素在男性和女性之间完全不同。为了确定那些处于更高 MCI 风险的人群，以便实施预防措施来延缓或逆转这种异常情况，识别这些人群至关重要。
