Association between systemic immune-inflammatory index and circadian syndrome: Data from NHANES 2005 to 2018

The relationship between the systemic immune-inflammatory index (SII) and circadian syndrome (CircS) is unclear. This study aims to explore this association. We extracted 23,148 participants from the National Health and Nutrition Examination Surveys 2005 to 2018. We used 3 multivariate logistic regression models to investigate the associations between SII and CircS, along with restricted cubic splines and subgroup analyses. The participants with CircS tended to be older and female. They had higher body mass index, poorer liver function, lower levels of education, and economic status compared with non-CircS participants. The SII level in the CircS group was higher than in the non-CircS group (odds ratio = 1.25, 95% confidence interval = 1.09-1.44, P = .002). There was no significant nonlinear relationship between SII and CircS (P overall < .001; P nonlinearity = .337). However, we did not observe any significant interactions between SII and other clinicopathologic factors (all P values for interaction > .05). We demonstrated a positive association between SII and CircS, particularly among people with low body mass index, low physical activity, cardiovascular disease, or cancer. For these populations, we may identify and intervene in CircS at an earlier stage by monitoring SII.

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Journal
Medicine
Published
2026-03-13
DOI
https://doi.org/10.1097/md.0000000000047968
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Association between systemic immune-inflammatory index and circadian syndrome: Data from NHANES 2005 to 2018

Yunyan Lu, Jiaer Gao, Li Zhong, Tian Lan
Medicine
Inflammatory Biomarkers in Disease Prognosis
article

Association between systemic immune-inflammatory index and circadian syndrome: Data from NHANES 2005 to 2018

Yunyan Lu, Jiaer Gao, Li Zhong, Tian Lan
article en

Abstract

The relationship between the systemic immune-inflammatory index (SII) and circadian syndrome (CircS) is unclear. This study aims to explore this association. We extracted 23,148 participants from the National Health and Nutrition Examination Surveys 2005 to 2018. We used 3 multivariate logistic regression models to investigate the associations between SII and CircS, along with restricted cubic splines and subgroup analyses. The participants with CircS tended to be older and female. They had higher body mass index, poorer liver function, lower levels of education, and economic status compared with non-CircS participants. The SII level in the CircS group was higher than in the non-CircS group (odds ratio = 1.25, 95% confidence interval = 1.09-1.44, P = .002). There was no significant nonlinear relationship between SII and CircS (P overall < .001; P nonlinearity = .337). However, we did not observe any significant interactions between SII and other clinicopathologic factors (all P values for interaction > .05). We demonstrated a positive association between SII and CircS, particularly among people with low body mass index, low physical activity, cardiovascular disease, or cancer. For these populations, we may identify and intervene in CircS at an earlier stage by monitoring SII.

MedicineVol. 105(11)
Zhejiang Chinese Medical University (CN), Hangzhou Hospital of Traditional Chinese Medicine (CN), The First People's Hospital of Xiaoshan District, Hangzhou (CN)
No poverty
Openalex Percentile: Top 23%
Inflammatory Biomarkers in Disease Prognosis
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Association between systemic immune-inflammatory index and circadian syndrome: Data from NHANES 2005 to 2018 — Yunyan Lu, Jiaer Gao, et al. · Medicine (2026) | TGRS Research Map | TGRS