Evidence map›Paper›PMID 40668793›Full record

ArticlePloS one2025

Systemic immunity-inflammation index and body mass index: A cross-sectional study.

Wei Guo, Chongheng Zhang, Fang Cao, Xinxin Sun, Jian Li, Wenfeng Zhang

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wei GuoChangchun University of Chinese Medicine, Changchun, China.
Chongheng ZhangChangchun University of Chinese Medicine, Changchun, China.
Fang CaoChangchun University of Chinese Medicine, Changchun, China.
Xinxin SunChinese People's Armed Police Force Characteristic Medical Center, Tianjin, China.
Jian LiChangchun University of Chinese Medicine, Changchun, China.
Wenfeng ZhangChangchun University of Chinese Medicine, Changchun, China.ORCID https://orcid.org/0009-0003-2079-993X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe Systemic Immunity-inflammation Index (SII) is an emerging metric for assessing an individual's immunological and inflammatory condition. Studies examining the relationship between SII and body mass index (BMI) are limited. This study aims to clarify the correlation between SII and BMI.

methodsThe current study investigated the association between SII and BMI using data from the National Health and Nutrition Examination Survey (NHANES). Information on SII and BMI was obtained from laboratory and demographic data. The analytical approach included techniques such as linear univariate analysis, linear multivariate analysis, and subgroup analysis to explore the intricate relationship between SII and BMI comprehensively.

resultsA total of 1568 participants who met the inclusion criteria were included in the study; their average age was 53.6 ± 16.7 years, and they were 40.8% female and 59.2% male. Several baseline indicators showed statistically significant differences across SII groups. Curve fitting revealed an inverted L-shape, non-linear relationship between SII and BMI. Multivariate linear regression analysis revealed that adjusted β values were 1.7 (95% CI: 0.87-2.54, p < 0.001) for T3 and 0.46 (95% CI: -0.36-1.28, p = 0.271) for T2 in comparison to T1. Threshold analysis indicated that SII < 677.842 was associated with a BMI increase β of 0.005 (95% CI: 0.002-0.007, p < 0.001). The stratified analysis demonstrated the positive association between SII and BMI was not influenced by gender, diabetes, or smoking (all p > 0.05).

conclusionsIn summary, these findings reveal a robust association between SII and BMI within the examined American population.

Indexed as

Body Mass IndexImmunityInflammationAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition Surveys

Identifiers

PMID40668793
PMCPMC12266463

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