Chen Jing, Zhang Jun, Wang Hao, Zhu Hongliang, Fu Jialin, Li Chuanwei, Zhang Qingrong, Xia Xingzhi, Ma He, Liu Junjun, Du Xiangdong
Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China.
Suzhou Medical College of Soochow University, Suzhou, China.
Front Aging Neurosci. 2025 May 9;17:1543501. doi: 10.3389/fnagi.2025.1543501. eCollection 2025.
This study endeavored to investigate the correlation between body mass index (BMI) and cognitive impairment in the demographic of Chinese individuals who are 60 years of age and above.
We selected data from China Health and Retirement Longitudinal Study (CHARLS) 2015-2018 and 2,942 subjects aged ≥60 years were included. The Mini-Mental State Examination (MMSE) was used to assess cognitive impairment. BMI was examined in two forms: as a continuous variable and was stratified into tertiles. Analysis was conducted using both univariate and multivariate logistic regression. Non-linear relationships were analyzed using curve fitting and segmented logistic regression.
During the study, 600 out of 2,942 subjects (20.4%) experienced cognitive impairment. In fully adjusted models, each unit increase in BMI was related to a 4% decrease in the odds of cognitive impairment (OR: 0.96, 95% CI: 0.93-0.99, = 0.008). There was a noticeable protective effect from the highest BMI tertile in comparison to the lowest tertile (OR: 0.64, 95% CI: 0.50-0.83, < 0.001). Non-linear analysis revealed an inflection point at BMI of 26.60 kg/m, with a significant inverse relationship below this point (OR: 0.96, 95% CI: 0.93-0.99, = 0.008) and no substantial association above it.
This study provides evidence supporting the "obesity paradox" in the cognitive function of older adult Chinese population. Higher BMI is linked to lower cognitive impairment risk, especially among overweight persons. These findings indicate a complex and non-linear link between BMI and cognitive health among older adult adults, emphasizing the importance of tailored strategies for weight management in this population.
本研究旨在调查60岁及以上中国人群中体重指数(BMI)与认知障碍之间的相关性。
我们选取了中国健康与养老追踪调查(CHARLS)2015 - 2018年的数据,纳入了2942名年龄≥60岁的受试者。采用简易精神状态检查表(MMSE)评估认知障碍。BMI以两种形式进行检测:作为连续变量,并分为三个三分位数。使用单变量和多变量逻辑回归进行分析。采用曲线拟合和分段逻辑回归分析非线性关系。
在研究期间,2942名受试者中有600名(20.4%)出现认知障碍。在完全调整模型中,BMI每增加一个单位,认知障碍的几率降低4%(比值比:0.96,95%置信区间:0.93 - 0.99,P = 0.008)。与最低三分位数相比,最高BMI三分位数有显著的保护作用(比值比:0.64,95%置信区间:0.50 - 0.83,P < 0.001)。非线性分析显示,BMI为26.60kg/m²时有一个拐点,在该点以下存在显著的负相关(比值比:0.96,95%置信区间:0.93 - 0.99,P = 0.008),在该点以上无显著关联。
本研究提供了证据支持中国老年人群认知功能中的“肥胖悖论”。较高的BMI与较低的认知障碍风险相关,尤其是在超重人群中。这些发现表明BMI与老年人群认知健康之间存在复杂的非线性联系,强调了针对该人群制定个性化体重管理策略的重要性。