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中国中老年人群认知功能与肌酐/体重比值的关联:基于中国健康与养老追踪调查(CHARLS)的证据

Association between cognitive function and Cre/BW in middle-aged and older Chinese adults: evidence from the CHARLS.

作者信息

Li Shuting, Qi Mengya, Wang Yanxue, Lu Xingmeng, Li Xingang

机构信息

Beijing Ditan Hospital, Capital Medical University, Beijing, China.

出版信息

Front Public Health. 2025 Mar 26;13:1494916. doi: 10.3389/fpubh.2025.1494916. eCollection 2025.

Abstract

BACKGROUND

Cre/BW has been widely validated as a reliable biomarker for assessing muscle mass in clinical and epidemiological studies. Accumulating evidence from longitudinal cohort studies has demonstrated a significant association between sarcopenia and progressive cognitive decline in aging populations. To further elucidate this relationship, we conducted a comprehensive analysis using data from a nationally representative survey.

METHODS

This study utilized longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), with baseline measurements collected in 2012 and follow-up assessments conducted in 2018. To comprehensively evaluate the association between Cre/BW and cognitive function, we employed a dual analytical approach. Cross-sectional analyses were performed using multivariable-adjusted linear regression models for continuous cognitive scores and logistic regression models for dichotomous cognitive outcomes. For longitudinal assessment, we implemented time-to-event analyses using Cox proportional hazards models, with rigorous adjustment for potential confounders including demographic characteristics, lifestyle factors, and comorbidities.

RESULTS

Initial unadjusted linear regression analysis revealed a significant inverse association between Cre/BW ratio and total cognitive function score ( = -0.111, 95% CI: -0.013 to -0.008, < 0.001). This association remained statistically significant after comprehensive adjustment for potential confounders, albeit with attenuated effect size ( = -0.052, 95% CI: -0.007 to -0.003, < 0.001). When analyzing cognitive function scores by quartiles, we observed a consistent pattern where lower Cre/BW ratios were associated with better cognitive performance, even after multivariable adjustment (OR = 0.973, 95% CI: 0.951 to 0.996, = 0.019). Longitudinal analysis using Cox proportional hazards models demonstrated that higher Cre/BW ratios were significantly associated with increased risk of cognitive impairment (HR = 1.207, 95% CI: 1.073 to 1.359, = 0.002). Notably, participants in the highest Cre/BW quartile showed a 1.118-fold increased risk of cognitive impairment compared to those in the lowest quartile (95% CI: 1.048 to 1.346, = 0.007), suggesting a dose-response relationship between Cre/BW ratio and cognitive outcomes.

CONCLUSION

Our findings demonstrate a significant inverse association between Cre/BW and cognitive function in the general Chinese adult population. Longitudinal analysis revealed that elevated Cre/BW ratio serves as an independent risk factor for cognitive impairment, with this association persisting after extended follow-up and comprehensive adjustment for potential confounding factors.

摘要

背景

在临床和流行病学研究中,肌酐/体重(Cre/BW)已被广泛验证为评估肌肉质量的可靠生物标志物。纵向队列研究积累的证据表明,在老年人群中,肌肉减少症与进行性认知衰退之间存在显著关联。为了进一步阐明这种关系,我们使用了一项全国代表性调查的数据进行了全面分析。

方法

本研究利用了中国健康与养老追踪调查(CHARLS)的纵向数据,2012年收集了基线测量数据,并于2018年进行了随访评估。为了全面评估Cre/BW与认知功能之间的关联,我们采用了双重分析方法。对于连续的认知分数,使用多变量调整线性回归模型进行横断面分析;对于二分法认知结果,使用逻辑回归模型。对于纵向评估,我们使用Cox比例风险模型进行事件发生时间分析,并对包括人口统计学特征、生活方式因素和合并症在内的潜在混杂因素进行了严格调整。

结果

最初的未调整线性回归分析显示,Cre/BW比值与总认知功能得分之间存在显著的负相关(β = -0.111,95%CI:-0.013至-0.008,P < 0.001)。在对潜在混杂因素进行全面调整后,这种关联在统计学上仍然显著,尽管效应大小有所减弱(β = -0.052,95%CI:-0.007至-0.003,P < 0.001)。当按四分位数分析认知功能得分时,我们观察到一种一致的模式,即即使在多变量调整后,较低的Cre/BW比值也与较好的认知表现相关(OR = 0.973,95%CI:0.951至0.996,P = 0.019)。使用Cox比例风险模型进行的纵向分析表明,较高的Cre/BW比值与认知障碍风险增加显著相关(HR = 1.207,95%CI:1.073至1.359,P = 0.002)。值得注意的是,与最低四分位数的参与者相比,最高Cre/BW四分位数的参与者认知障碍风险增加了1.118倍(95%CI:1.048至1.346,P = 0.007),这表明Cre/BW比值与认知结果之间存在剂量反应关系。

结论

我们的研究结果表明,在一般中国成年人群中,Cre/BW与认知功能之间存在显著的负相关。纵向分析显示,升高的Cre/BW比值是认知障碍的独立危险因素,在延长随访并对潜在混杂因素进行全面调整后,这种关联仍然存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe01/12066955/56efa60a0849/fpubh-13-1494916-g001.jpg

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