■调查美国老年人的老年营养风险指数(GNRI)与认知功能之间的关系。(根据GNRI将患者分为两个营养风险组)。
■我们的分析利用了2011年至2014年进行的横断面国家健康与营养调查(NHANES)的数据。使用CERAD测试测量认知功能,AFT和DSST。综合z分数是通过对上述三个认知测试的测试特定z分数求和而获得的,并用于评估整体认知功能。我们使用加权逻辑回归模型来评估老年参与者中GNRI和营养状况(低和高GNRI)与认知功能之间的关联。使用拟合的平滑曲线和阈值效应分析来描述非线性关系。还进行了亚组分析和相互作用测试。
这项研究包括2,592名年龄在60岁及以上的老年参与者。调整混杂变量后,GNRI与AFT呈正相关(β=0.05,95%CI0.005-0.096,p值=0.0285),DSST(β=0.192,95%CI0.078-0.305,p值=0.0010)和复合z评分(β=0.027,95%CI0.010-0.044,p值=0.0024)。结果还显示,高GNRI组与AFT显着相关(β=0.922,95%CI0.166-1.677,p值=0.0169),DSST(β=2.791,95%CI0.884-4.698,p值=0.0042)与复合z评分(β=0.405,95%CI0.115-0.695,p值=0.0062)也存在显著正相关,使用低GNRI组作为参考。此外,在GNRI分别为108.016和105.371处发现了CERAD和复合z评分的拐点.具体来说,拐点左侧GNRI水平与CERAD和复合z评分呈正相关(CERADβ=0.087,95%CI0.024-0.150,p值=0.0070;复合z评分β=0.065,95%CI0.040-0.091,p值<0.0001),而右侧拐点呈显著负相关(CERADβ=-0.295,95%CI-0.529至-0.062,p值=0.0133,复合z评分β=-0.050,95%CI-0.091至-0.008,p值=0.0184)。
■较低的GNRI与几个认知领域的表现较差有关。此外,在正常营养状态下,GNRI与认知功能之间存在非线性正相关,对于过度的GNRI可能会导致认知能力下降。
UNASSIGNED: To investigate the associations between the geriatric nutritional risk index (GNRI) with cognitive functions among U.S. older adults. (Patients were classified into two nutrition risk groups based on the GNRI).
UNASSIGNED: Our analysis utilized data from the cross-sectional National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2014. Cognitive function was measured using CERAD test, AFT and DSST. Composite z-scores were obtained by summing test-specific z-scores of the above three cognitive tests and were used to assess the global cognitive function. We employed weighted logistic regression models to evaluate the associations between GNRI and nutritional status (low and high GNRI) with cognitive function among older participants. The non-linear relationship was described using fitted smoothed curves and threshold effect analyses. Subgroup analysis and interaction tests were also conducted.
UNASSIGNED: This
study included 2,592 older participants aged 60 years and older. After adjusting for confounding variables, the GNRI was positively associated with AFT (β = 0.05, 95% CI 0.005-0.096, p-value = 0.0285), DSST (β = 0.192, 95% CI 0.078-0.305, p-value = 0.0010) and the composite z-scores (β = 0.027, 95% CI 0.010-0.044, p-value = 0.0024). The results also showed that the high-GNRI group was significantly associated with AFT (β = 0.922, 95% CI 0.166-1.677, p-value = 0.0169), DSST (β = 2.791, 95% CI 0.884-4.698, p-value = 0.0042) and composite z-scores (β = 0.405, 95% CI 0.115-0.695, p-value = 0.0062) likewise had significant positive correlations, using the low-GNRI group as a reference. In addition, inflection points with CERAD and composite z-scores were found at GNRI of 108.016, and 105.371, respectively. Specifically, on the left side of the inflection point GNRI levels were positively correlated with CERAD and composite z-scores (CERAD β = 0.087, 95% CI 0.024-0.150, p-value = 0.0070; composite z-scores β = 0.065, 95% CI 0.040-0.091, p-value <0.0001), while on the right side of the inflection point were significantly negatively associated (CERAD β = -0.295, 95% CI -0.529 to -0.062, p-value = 0.0133, composite z-scores β = -0.050, 95% CI -0.091 to -0.008, p-value = 0.0184).
UNASSIGNED: Lower GNRI was associated with poorer performance in several cognitive domains. Additionally, there was a non-linear positive association between GNRI and cognitive function in normal nutritional states, for excessive GNRI may cause cognitive decline.