生命的关键与脆弱之间的曲线关系:NHANES 2003 - 2023的横断面研究。

IF 4.3 Q2 GERIATRICS & GERONTOLOGY
Frontiers in aging Pub Date : 2025-06-06 eCollection Date: 2025-01-01 DOI:10.3389/fragi.2025.1528338
Bo Wang, Chunqi Jiang, Ning Wang, Yinuo Qu, Jun Wang, Guang Zhao, Xin Zhang
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引用次数: 0

摘要

背景:虚弱不仅影响疾病的生存率,而且影响生活质量。Life's Crucial 9 (LC9)是最近提出的心血管健康风险评分,它将心理健康和Life's Essential 8 (LE8)结合在一起。LC9和虚弱之间的关系尚未被报道。本研究旨在探讨LC9分数与虚弱程度之间的联系。方法:采用加权多元logistic回归模型评价生命基本8 (Life’s Essential 8, LE8)和LC9与虚弱之间的关系,并进行趋势检验以评估这种关系的稳定性。此外,我们采用光滑曲线拟合来探索LE8和LC9与脆弱之间潜在的曲线关系。为了识别拐点,我们将递归划分算法与两阶段线性回归模型结合使用。进行分层分析以检验不同人群的异质性。结果:我们的研究共纳入28,557名参与者。在考虑所有协变量的回归模型中,LE8和LC9评分与虚弱相关的比值比(or)分别为0.95 (95% CI: 0.94, 0.95)和0.93 (95% CI: 0.93, 0.93),表明与LC9评分的负相关显著增强。敏感性分析证实了这一关系的稳健性。光滑曲线拟合显示LE8和LC9评分与虚弱程度呈非线性相关。进一步分析利用两段线性回归模型确定了LE8的拐点为53.12,LC9的拐点为68.89。低于这些阈值,LE8和LC9都表现出与虚弱的显著负相关。然而,在这些点之上,负相关的强度有所降低,但仍然具有统计学意义。在分层分析中,LE8和LC9都与虚弱表现出显著的负相关,LC9表现出更明显的关系。在教育水平组中发现了显著的交互效应。结论:我们发现LE8、LC9与虚弱呈曲线关系,其中LC9与虚弱的关系更为显著。这意味着LC9可以促进对脆弱高危个体的早期和精确识别,从而为制定有针对性的干预策略提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The curvilinear associations between Life's Crucial 9 and frailty: cross-sectional study of NHANES 2003 - 2023.

Background: Frailty not only affects disease survival rates but also the quality of life. The Life's Crucial 9 (LC9) is a recently proposed cardiovascular health risk score that incorporates mental health along with Life's Essential 8 (LE8). The association between LC9 and frailty has not yet been reported. This study aims to explore the link between LC9 scores and levels of frailty.

Methods: We used a weighted multiple logistic regression model to evaluate the relationship between Life's Essential 8 (LE8) and LC9 with frailty, and conducted trend tests to assess the stability of this association. Additionally, we employed smooth curve fitting to explore the potential curvilinear relationship between LE8 and LC9 with frailty. To identify inflection points, we applied recursive partitioning algorithms in conjunction with a two-stage linear regression model. Stratified analyses were performed to examine heterogeneity within various populations.

Results: Our study included a total of 28,557 participants. In the regression model that accounted for all covariates, the odds ratios (ORs) for the association of LE8 and LC9 scores with frailty were 0.95 (95% CI: 0.94, 0.95) and 0.93 (95% CI: 0.93, 0.93), respectively, indicating a significantly stronger negative correlation with LC9 scores. Sensitivity analysis confirmed the robustness of this relationship. Smooth curve fitting revealed a nonlinear correlation between LE8 and LC9 scores and the degree of frailty. Further analysis using a two-piecewise linear regression model identified inflection points at 53.12 for LE8 and 68.89 for LC9. Below these thresholds, both LE8 and LC9 demonstrated a significant negative association with frailty. However, above these points, the strength of the negative correlation was somewhat reduced but remained statistically significant. In stratified analyses, both LE8 and LC9 exhibited significant negative associations with frailty, with LC9 showing a more pronounced relationship. Significant interaction effect was detected within the education level groups.

Conclusion: We found a curvilinear relationship between LE8, LC9 and frailty, and the relationship between LC9 and frailty was more significant. This implies that LC9 can facilitate the early and precise identification of individuals at high risk of frailty, thereby providing a foundation for the development of targeted intervention strategies.

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