Martínez-Sanguinetti María Adela, Leiva Ana María, Petermann-Rocha Fanny, Troncoso-Pantoja Claudia, Villagrán Marcelo, Lanuza-Rilling Fabián, Nazar Gabriela, Poblete-Valderrama Felipe, Díaz-Martínez Ximena, Celis-Morales Carlos
Instituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile.
Instituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile.
Rev Med Chil. 2019 Aug;147(8):1013-1023. doi: 10.4067/S0034-98872019000801013.
The risk factors for the development of cognitive impairment are not well known.
To identify socio-demographic, lifestyle and health-related factors associated with cognitive impairment in older Chilean adults.
Data analysis of 1,384 participants ≥ 60 years who participated in the National Health Survey of Chile 2009-2010. Sociodemographic, lifestyle and health-related factors were used as exposure variables of interest. Cognitive impairment was assessed using an abbreviated version of the Mini Mental test and defined as a score < 13 points of a maximum of 19. A logistic regression was used to identify factors associated with cognitive impairment.
In this sample, the prevalence of cognitive impairment was 11.6 [95% confidence intervals (CI): 8.8; 15.2]. The factors associated with cognitive impairment were age (Odds ratio (OR) for > 76 years: 4.89, p < 0.01), male sex (OR: 2.42, p = 0.02), lower education (OR: 21.6, p < 0.01), physical inactivity (OR: 2.07, p = 0.02), sedentary behavior (OR: 2.23, p = 0.01), sleeping > 9/hours/day (OR: 2.98, p = 0.01), consumption of < 5 portions/day of fruit and vegetables (OR: 2.02, p = 0.05), having an unhealthy lifestyle (OR: 6.10, p = 0.0001), being underweight (OR: 3.67, p < 0.01), obesity (OR: 3.32, p = 0.03), having hearing impairment (OR: 2.26, p = 0.02), having a visual impairment (OR: 3.89, p < 0.01), a history of depression (OR: 3.03, p = 0.01) and having a physical disability (OR: 5.63, p < 0.01).
We identified 14 factors associated with cognitive impairment. Although some of these factors were non-modifiable such as age and sex, most of them could be modified by implementing prevention programs aiming to improve lifestyle behaviors in older adults in Chile.
认知障碍发生的风险因素尚不明确。
确定智利老年成年人中与认知障碍相关的社会人口学、生活方式和健康相关因素。
对参加2009 - 2010年智利全国健康调查的1384名60岁及以上参与者进行数据分析。社会人口学、生活方式和健康相关因素被用作感兴趣的暴露变量。使用简易精神状态检查表的简化版本评估认知障碍,将得分低于最高19分中的13分定义为认知障碍。采用逻辑回归来确定与认知障碍相关的因素。
在该样本中,认知障碍的患病率为11.6 [95%置信区间(CI):8.8;15.2]。与认知障碍相关的因素有年龄(76岁以上的优势比(OR):4.89,p < 0.01)、男性(OR:2.42,p = 0.02)、低教育水平(OR:21.6,p < 0.01)、身体不活动(OR:2.07,p = 0.02)、久坐行为(OR:2.23,p = 0.01)、每天睡眠超过9小时(OR:2.98,p = 0.01)、每天食用水果和蔬菜少于5份(OR:2.02,p = 0.05)、有不健康的生活方式(OR:6.10,p = 0.0001)、体重过轻(OR:3.67,p < 0.01)、肥胖(OR:3.32,p = 0.03)、有听力障碍(OR:2.26,p = 0.02)、有视力障碍(OR:3.89,p < 0.01)、有抑郁症病史(OR:3.03,p = 0.01)以及有身体残疾(OR:5.63,p < 0.01)。
我们确定了14个与认知障碍相关的因素。虽然其中一些因素如年龄和性别不可改变,但大多数因素可通过实施旨在改善智利老年成年人生活方式行为的预防计划来改变。