Association between systemic immune inflammation index and adolescent obesity in a cross-sectional analysis
Abstract Obesity is a prevalent health issue among adolescents, characterized by chronic low-grade inflammation, which increases the risk of developing various chronic diseases in the future. The systemic immune-inflammation index (SII) serves as an indicator of inflammation and immune response. Thi...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-91125-6 |
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| Summary: | Abstract Obesity is a prevalent health issue among adolescents, characterized by chronic low-grade inflammation, which increases the risk of developing various chronic diseases in the future. The systemic immune-inflammation index (SII) serves as an indicator of inflammation and immune response. This study conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016, including 5,676 participants. A multivariate logistic regression model, Generalized Additive Models (GAM), and subgroup analysis were used to examine the relationship between obesity and SII. The multivariate logistic regression results revealed a significant positive correlation between log SII and adolescent obesity (1.254 [1.024–1.537]). Furthermore, the risk of obesity increased with higher quartiles of SII. Subgroup analysis and interaction tests showed that this positive association persisted across various factors, including female gender, race (Non-Hispanic White and Mexican American), non-hyperlipidemia, normal white blood cell count, and PIR < 1. Additionally, a U-shaped relationship between log SII and obesity was observed, with a turning point at 6.410. The findings suggest that an increase in the systemic immune-inflammation index is significantly associated with obesity in adolescents. However, further validation through large-scale prospective studies is needed. |
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| ISSN: | 2045-2322 |