Zhao Jiaxiu, Ji Xueying, Chen Yixin, Wang Jiaofeng, Chen Jie, Huang Yiqin, Bao Zhijun
Department of Gerontology, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Institute of Geriatrics and Gerontology, Shanghai, China.
Lipids Health Dis. 2025 Jul 30;24(1):256. doi: 10.1186/s12944-025-02671-x.
BACKGROUND/OBJECTIVES: Aging populations have led to numerous health challenges. The World Health Organization (WHO) proposed "Healthy Aging" to promote elderly health by optimizing Intrinsic Capacity (IC) with vitality as a core component of metabolic homeostasis. The relationships between vitality decline and inflammatory-metabolic indicators (the NLR and TyG index) remain to be investigated.
This study recruited 986 community-dwelling adults ≥ 60 years old at the Beixingjing Street Community from March 25, 2024, to June 17, 2024, in Shanghai, China. Participants underwent comprehensive face‒to-face assessments with IC evaluations conducted according to the Integrated Care for Older People (ICOPE) guidelines. Vitality was evaluated using the Mini Nutritional Assessment-Short Form (MNA-SF). The study population was divided into two groups based on vitality decline (scores < 12). Multivariable logistic regression was used to analyze associations between vitality decline and other IC domains as well as between vitality decline and inflammatory (NLR) and metabolic indices (TyG, TyG-WC, TyG-BMI, and TyG-WHtR). Three logistic regression models constructed with progressive adjustments were used to assess associations between indices (NLR, TyG, TyG-WC, TyG-BMI, and TyG-WHtR) and vitality decline. Restricted cubic spline (RCS) analyses explored potential nonlinear relationships and threshold effects. Receiver Operating Characteristic (ROC) curve analysis was used to assess the discriminative capacity of different models.
The prevalence of vitality decline was 16.43%. Vitality decline was strongly associated with psychological and locomotor capacity decline in fully adjusted models (p < 0.05). An elevated NLR showed a significant association with greater vitality decline (OR = 1.233, p = 0.045). Participants in the highest NLR quartile (Q4) demonstrated significantly greater odds of vitality decline compared to those in the lowest quartile (Q1) (OR = 1.886, p = 0.043). Conversely, unit increases in TyG-derived indices demonstrated protective effects as follows: TyG-WC (OR = 0.988, p < 0.001), TyG-BMI (OR = 0.952, p < 0.001) and TyG-WHtR (OR = 0.120, p < 0.001). In contrast, TyG alone did not reach statistical significance (OR = 0.622, p = 0.078). The highest-quartile (Q4) participants presented a significantly lower risk of vitality decline than the lowest-quartile (Q1) participants as follows: TyG-WC (OR = 0.104, p < 0.001), TyG-BMI (OR = 0.052, p < 0.001), and TyG-WHtR (OR = 0.070, p < 0.001). Interaction terms between NLR, TyG and its indicators were analyzed in separate models and across quartiles. These terms did not show consistent significant associations with vitality decline. RCS analysis with vitality decline as the dependent variable identified threshold effects at TyG-WC = 794.358, TyG-BMI = 209.179, and TyG-WHtR = 4.476. The analysis revealed significant positive linear relationships between NLR and vitality decline, negative linear relationships between TyG and vitality decline, and negative nonlinear relationships between TyG-derived indices and vitality decline. Sensitivity analyses using MNA-SF score as a continuous variable confirmed similar relationship patterns, with NLR showing a significant linear negative association with MNA-SF score and TyG showing a linear positive association. The TyG-derived indices exhibited significant positive nonlinear relationships with MNA-SF scores, with threshold effects emerging at TyG-WC = 666.818, TyG-BMI = 210.997, and TyG-WHtR = 4.405. Effect sizes below the inflection points were substantially larger than those above thresholds, suggesting more pronounced effects at lower values. Among all biomarkers examined, NLR demonstrated the strongest association with vitality decline (AUC = 0.873). Subgroup analyses revealed significant effect modifications exclusively for TyG-derived indices but not for NLR or TyG alone.
This study revealed a high prevalence of vitality decline among older Chinese adults, which was strongly associated with a decrease in psychological and locomotor capacity. NLR showed a negative linear correlation with vitality, whereas TyG-derived parameters showed nonlinear positive associations with a plateau effect. NLR showed optimal discriminative capacity among all indicators for identifying vitality decline.
背景/目的:人口老龄化带来了诸多健康挑战。世界卫生组织(WHO)提出“健康老龄化”,通过优化内在能力(IC)来促进老年人健康,其中活力是代谢稳态的核心组成部分。活力下降与炎症代谢指标(中性粒细胞与淋巴细胞比值(NLR)和甘油三酯葡萄糖(TyG)指数)之间的关系仍有待研究。
本研究于2024年3月25日至2024年6月17日在中国上海北新泾街道社区招募了986名60岁及以上的社区居住成年人。参与者接受了全面的面对面评估,并根据老年人综合照护(ICOPE)指南进行IC评估。使用微型营养评定简表(MNA-SF)评估活力。根据活力下降情况(得分<12)将研究人群分为两组。采用多变量逻辑回归分析活力下降与其他IC领域之间以及活力下降与炎症(NLR)和代谢指标(TyG、TyG-腰围(TyG-WC)、TyG-体重指数(TyG-BMI)和TyG-腰臀比(TyG-WHtR))之间的关联。构建了三个逐步调整的逻辑回归模型,以评估指标(NLR、TyG、TyG-WC、TyG-BMI和TyG-WHtR)与活力下降之间的关联。受限立方样条(RCS)分析探讨了潜在的非线性关系和阈值效应。采用受试者工作特征(ROC)曲线分析评估不同模型的判别能力。
活力下降的患病率为16.43%。在完全调整模型中,活力下降与心理和运动能力下降密切相关(p<0.05)。NLR升高与更大的活力下降显著相关(比值比(OR)=1.233,p=0.045)。与最低四分位数(Q1)的参与者相比,最高NLR四分位数(Q4)的参与者活力下降的几率显著更高(OR=1.886,p=0.043)。相反,TyG衍生指标的单位增加显示出如下保护作用:TyG-WC(OR=0.988,p<0.001)、TyG-BMI(OR=0.952,p<0.001)和TyG-WHtR(OR=0.120,p<0.001)。相比之下,单独的TyG未达到统计学显著性(OR=0.622,p=0.078)。最高四分位数(Q4)的参与者活力下降的风险显著低于最低四分位数(Q1)的参与者,如下所示:TyG-WC(OR=0.104,p<0.001)、TyG-BMI(OR=0.052,p<0.001)和TyG-WHtR(OR=0.070,p<0.001)。在单独模型和四分位数中分析了NLR、TyG及其指标之间的交互项。这些项与活力下降未显示出一致的显著关联。以活力下降为因变量的RCS分析确定了TyG-WC=794.358、TyG-BMI=209.179和TyG-WHtR=4.476时的阈值效应。分析揭示了NLR与活力下降之间的显著正线性关系、TyG与活力下降之间的负线性关系以及TyG衍生指标与活力下降之间的负非线性关系。使用MNA-SF得分作为连续变量的敏感性分析证实了类似的关系模式,NLR与MNA-SF得分呈显著线性负相关,TyG呈线性正相关。TyG衍生指标与MNA-SF得分呈显著正非线性关系,在TyG-WC=666.818、TyG-BMI=210.997和TyG-WHtR=4.405时出现阈值效应。拐点以下的效应大小明显大于阈值以上的效应大小,表明在较低值时效应更明显。在所有检测的生物标志物中,NLR与活力下降的关联最强(曲线下面积(AUC)=0.873)。亚组分析显示仅TyG衍生指标存在显著的效应修正,而NLR或TyG单独不存在。
本研究揭示了中国老年成年人中活力下降的高患病率,这与心理和运动能力下降密切相关。NLR与活力呈负线性相关,而TyG衍生参数呈非线性正相关且具有平台效应。在所有用于识别活力下降的指标中,NLR显示出最佳的判别能力。