The Relationship Between Insulin Resistance Neutrophil to Lymphocyte Ratio
Alicia Shin

TL;DR
This study investigates the association between neutrophil to lymphocyte ratio (NLR) and insulin resistance (IR) in the US general population, finding no significant relationship after adjusting for confounders, suggesting IR may not influence NLR variation.
Contribution
It is the first epidemiological study to analyze the NLR-IR relationship in a general population sample, expanding beyond previous research limited to diabetic patients.
Findings
No significant association between NLR and IR after adjustment.
Insulin use initially showed a relationship, but it disappeared after excluding insulin users.
Further research is needed to identify factors influencing NLR in healthy populations.
Abstract
Aim: There is increasing interest in the role of chronic inflammation on pathogenesis of various disease, and one of its markers, high NLR is associated with various mortality and morbidity risk. Insulin resistance (IR) might be one potential associate factors, as suggested in preclinical studies. However, epidemiological studies are scarce which investigated the association between NLR, and insulin resistance (IR) and they included only diabetes mellitus patients, not the general population. This study aims to determine if there is a direct correlation between NLR and IR in the US general population. Methods: The sample consists of 3,307 from general population, provided by National Health and Nutrition Examination Survey (NHANES). Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) value was calculated to evaluate insulin resistance. We investigated the relationship between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdipokines, Inflammation, and Metabolic Diseases
MethodsLinear Regression
