ArticleFrontiers in endocrinology2025
Association between metabolic score for insulin resistance and lower limb pain among the elderly: a cross-sectional study.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Inflammatory score, intrinsic capacity and the risk of new-onset chronic lung disease: a cohort study from the China Health and Retirement Longitudinal Study.Journal of thoracic disease · 2026Article
- Glucagon-like peptide-1 receptor agonists in psoriasis and psoriatic arthritis: emerging evidence and future research opportunities.Frontiers in immunology · 2026Review
- Linear Association of Derivatives of Triglyceride-Glucose Index with Incident Lower Limb Joint Pain in Middle-Aged and Older Chinese Adults: A Prospective Cohort Study.Journal of pain research · 2026Article
- Shorter sleep, higher odds: a nationally representative analysis of the dose-dependent link to depression among 48.8 million U.S. youth.Frontiers in pediatrics · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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 ( Conclusions: The findings indicate a positive correlation between Mets-IR and LLP risk, which is influenced reciprocally by sleep duration.
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Registered trials
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