Association of the inflammatory burden index with the risk of pre-diabetes and diabetes mellitus: a cross-sectional study

Abstract Objective This study aims to investigate the association between the Inflammatory Burden Index (IBI) and the prevalence of pre-diabetes (pre-DM) and diabetes mellitus (DM) in the U.S. population from 1999 to 2010. By analyzing relevant data collected during this period, the study seeks to u...

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Main Authors: Shuo Yu, Jiaxin Li, He Chen, Fuyu Xue, Siyi Wang, Meihui Tian, Hongfeng Wang, Haipeng Huang, Mengyuan Li
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Endocrine Disorders
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Online Access:https://doi.org/10.1186/s12902-025-01911-6
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Summary:Abstract Objective This study aims to investigate the association between the Inflammatory Burden Index (IBI) and the prevalence of pre-diabetes (pre-DM) and diabetes mellitus (DM) in the U.S. population from 1999 to 2010. By analyzing relevant data collected during this period, the study seeks to understand IBI’s role in the onset of pre-DM and DM and its potential implications for public health. Methods A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2010. A total of 29,554 participants were included, with diabetes status determined by self-reported diagnoses and clinical indicators (such as glycosylated hemoglobin and fasting blood glucose). The Inflammatory Burden Index (IBI) was calculated using C-reactive protein (CRP) multiplied by the neutrophil-to-lymphocyte ratio. The generalized additive model (GAM) was employed to examine the relationship between increasing IBI and the incidence of pre-DM and DM. Result The study included 29,554 participants, with 14,290 (48.4%) men and 15,264 (51.6%) women, and a mean age of 48.3 years (SD = 19.1). The findings revealed a significant association between IBI and the risk of pre-DM and DM. In the fully adjusted model, a stronger relationship was observed between pre-DM, DM, and IBI. The prevalence of pre-DM and DM was significantly higher in the fourth quartile (Q4) compared to the first quartile (Q1), with a 26% prevalence of pre-DM and an 18% prevalence of DM when IBI was greater than 1.04. Conclusion Our study demonstrates a significant correlation between IBI and the risk of pre-DM and DM in the U.S. population. Given these findings, we recommend that IBI be considered as a key indicator for the management and treatment of pre-DM and DM in clinical settings.
ISSN:1472-6823