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老年人胰岛素抵抗代谢评分与下肢疼痛之间的关联:一项横断面研究。

Association between metabolic score for insulin resistance and lower limb pain among the elderly: a cross-sectional study.

作者信息

Hu Yanfen, Yu Junxia, Xu Zhenjie, Gao Yan, Li Yang, Li Lingxia

机构信息

Department of Geriatric Endocrinology, Metabolism and Respiratory Medicine (the Cadre Ward), The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Jianjiyue Biomedical Research Center, Xi'an, Shaanxi, China.

出版信息

Front Endocrinol (Lausanne). 2025 Jun 24;16:1530067. doi: 10.3389/fendo.2025.1530067. eCollection 2025.

Abstract

PURPOSE

This study aims to investigate the association between the metabolic score for insulin resistance (Mets-IR) and lower limb pain (LLP) among the elderly.

METHODS

Baseline and follow-up data were collected from the China Health and Retirement Longitudinal Study (CHARLS) database in 2011 and 2018, respectively. Multivariable logistic regression analysis and restricted cubic spline were performed to explored the relationship between Mets-IR and LLP. Subgroup analysis was also conducted.

RESULTS

A total of 4983 participants were included in the study, among which 3350 (67.2%) suffered from LLP. Logistic regression analysis confirmed a statistically significant relationship between Mets-IR and LLP risk ( < 0.001). Restricted cubic spline plots indicated that the association between Mets-IR and LLP is not nonlinear. Both subgroup and interaction analyses hinted at the influence of variation in sleep duration on this correlation.

CONCLUSIONS

The findings indicate a positive correlation between Mets-IR and LLP risk, which is influenced reciprocally by sleep duration.

摘要

目的

本研究旨在调查老年人胰岛素抵抗代谢评分(Mets-IR)与下肢疼痛(LLP)之间的关联。

方法

分别从2011年和2018年的中国健康与养老追踪调查(CHARLS)数据库中收集基线数据和随访数据。进行多变量逻辑回归分析和受限立方样条分析,以探讨Mets-IR与LLP之间的关系。还进行了亚组分析。

结果

本研究共纳入4983名参与者,其中3350名(67.2%)患有LLP。逻辑回归分析证实Mets-IR与LLP风险之间存在统计学上的显著关系(<0.001)。受限立方样条图表明Mets-IR与LLP之间的关联并非非线性。亚组分析和交互分析均提示睡眠时间变化对这种相关性有影响。

结论

研究结果表明Mets-IR与LLP风险呈正相关,且受睡眠时间的相互影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae42/12234338/159f8220530c/fendo-16-1530067-g001.jpg

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