Zeng Yuanjun, Song Zhenxue, Zhang Ling, Zhao Wenqi, Xie Jianguo, Meng Yuchi, Cheng Murong, Zhang Dongfeng, Li Suyun
Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.
J Alzheimers Dis. 2025 Sep;107(1):257-266. doi: 10.1177/13872877251360241. Epub 2025 Jul 21.
BackgroundRecent meta-analyses indicate that the relationship between grip strength (GS) and cognition is more complex than that was previously assumed. Multiple studies have established a significant correlation between body composition and GS.ObjectiveTo assess longitudinal relationships between absolute and relative GS trajectories and cognitive function.MethodsThe China Health and Retirement Longitudinal Study (CHARLS) data with 2549 participants were analyzed using the Group-Based Trajectory Model (GBTM) to ascertain GS trajectories over time. Absolute GS was defined as the raw force, while relative GS was defined as grip strength adjusted by body weight. Directed Acyclic Graphs (DAGs) were used to identify confounding variables, which were subsequently adjusted for in generalized estimating equation (GEE) models that assessed associations between these trajectories and changes in cognitive function over time.ResultsWe observed that relative GS exhibited three distinct trajectories: The three relative GS trajectories were labeled as Low-decline (n = 823, 32.29%), Medium-decline (n = 1292, 50.69%), and High-decline (n = 434, 17.03%). Absolute GS showed similar downward trends. GEE revealed a uniform five-year decline in cognitive function across all GS trajectory groups (all p < 0.001). The overall interaction between the timing and patterns of changes in both absolute and relative GS and cognitive function was statistically significant (p < 0.001).ConclusionsIn middle-aged and older adults, lower grip strength trajectories align with accelerated cognitive decline, while higher grip strength is associated with slower cognitive deterioration. Monitoring grip strength may serve as a practical marker for cognitive health in aging populations.
背景
近期的荟萃分析表明,握力(GS)与认知之间的关系比之前认为的更为复杂。多项研究已证实身体成分与握力之间存在显著相关性。
目的
评估绝对和相对握力轨迹与认知功能之间的纵向关系。
方法
使用基于群体的轨迹模型(GBTM)对中国健康与养老追踪调查(CHARLS)中2549名参与者的数据进行分析,以确定随时间变化的握力轨迹。绝对握力定义为原始力量,而相对握力定义为按体重调整后的握力。使用有向无环图(DAG)来识别混杂变量,随后在广义估计方程(GEE)模型中对这些变量进行调整,该模型评估这些轨迹与认知功能随时间变化之间的关联。
结果
这三种相对握力轨迹分别被标记为低下降组(n = 823,32.29%)、中下降组(n = 1292,50.69%)和高下降组(n = 434,17.03%)。绝对握力也呈现出类似的下降趋势。广义估计方程显示,所有握力轨迹组的认知功能均出现了一致的五年下降(所有p < 0.001)。绝对和相对握力变化的时间和模式与认知功能之间的总体交互作用具有统计学意义(p < 0.001)。
结论
在中老年人中,较低的握力轨迹与认知能力加速下降相关,而较高的握力则与认知能力衰退较慢相关。监测握力可能是老年人群认知健康的一个实用指标。