İnce Nezire, Öztürk Müjgan, Meseri Reci, Besler Halit Tanju
Nutrition and Dietetic Department, Faculty of Health Sciences, Eastern Mediterranean University, Famagusta, Cyprus.
Department of Nutrition and Dietetics, Faculty of Health Sciences, Ege University, Izmir, Turkey.
J Am Nutr Assoc. 2022 Aug;41(6):600-607. doi: 10.1080/07315724.2021.1946869. Epub 2021 Jul 20.
Obesity leads to many chronic diseases and its association with cognitive impairment is controversial. The objective was to investigate the association between obesity, anthropometric measurements and cognitive functions of elderly.
Planned cross-sectionally, community-dwelling Cypriots (aged ≥ 50 years) without any neurological disorders, were included. Cognitive impairment evaluated by Mini Mental State Examination (MMSE) was the dependent variable. Socio-demographic variables, anthropometric measurements and obesity were the independent variables. The data was collected via face-to-face interview. Logistic regression models were constituted to determine the association of anthropometric measurements, obesity and dementia.
The mean age of participants ( = 541) was 60.0 ± 8.7 for women ( = 377) and 61.5 ± 6.0 years for men ( = 164). According to MMSE, 26.0% of women and 11.0% of men had mild-dementia, and the rest scored normal. After adjusted for age and sex, each unit increase in BMI (OR: 1.045, 95%CI: 1.008-1.091), Waist to height ratio (WHtR; OR: 1.030, 95%CI: 1.006-1.055) and Mid upper arm circumference (MUAC; OR: 1.077, 95%CI: 1.016-1.141) increases the risk of mild-dementia. When education, employment and smoking were included in the models, significance of anthropometric measurements was diminished and only sex and education were remained significant for all.
After controlled for age and sex, increment in anthropometric measurements increased the risk of dementia but when education was taken into consideration, this significant association was diminished showing that sex and education is more predominant in a heterogeneous group in means of education. Thus, for heterogeneous groups it might be better to revise MMSE. To determine the association between obesity and dementia cohort studies with longer follow-up duration with larger samples are needed.
肥胖会引发多种慢性疾病,其与认知障碍的关联存在争议。本研究旨在探讨肥胖、人体测量指标与老年人认知功能之间的关联。
采用横断面研究设计,纳入无任何神经系统疾病的社区居住塞浦路斯人(年龄≥50岁)。以简易精神状态检查表(MMSE)评估的认知障碍作为因变量。社会人口学变量、人体测量指标和肥胖作为自变量。通过面对面访谈收集数据。构建逻辑回归模型以确定人体测量指标、肥胖与痴呆之间的关联。
参与者(n = 541)的平均年龄,女性(n = 377)为60.0±8.7岁,男性(n = 164)为61.5±6.0岁。根据MMSE评估,26.0%的女性和11.0%的男性患有轻度痴呆,其余评分正常。在调整年龄和性别后,体重指数(BMI)每增加一个单位(比值比:1.045,95%置信区间:1.008 - 1.091)、腰高比(WHtR;比值比:1.030,95%置信区间:1.006 - 1.055)和上臂中部周长(MUAC;比值比:1.077,95%置信区间:1.016 - 1.141)都会增加患轻度痴呆的风险。当模型纳入教育程度、就业情况和吸烟因素后,人体测量指标的显著性降低,仅性别和教育程度对所有因素仍具有显著性。
在控制年龄和性别后,人体测量指标的增加会增加患痴呆的风险,但考虑教育程度后,这种显著关联减弱,表明在教育程度各异的群体中,性别和教育程度的影响更为显著。因此,对于异质性群体,可能最好修订MMSE。为确定肥胖与痴呆之间的关联,需要进行样本量更大、随访时间更长的队列研究。