Evidence map›Paper›PMID 41044611›Full record

ArticleDiabetology & metabolic syndrome2025

Low-grade inflammation score (INFLA- score) associated with metabolic syndrome and its components in shift workers.

Suxin Jiang, Jueqi Wang, Xue Guan, Hengqing An, Ning Tao

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Article in Diabetology & metabolic syndrome, 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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5 · Who and what money

Authors and funding

5 authors.

Suxin JiangCollege of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Jueqi WangCollege of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Xue GuanCollege of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Hengqing AnDepartment of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China. 9269735@qq.com.
Ning TaoCollege of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China. 38518412@qq.com.

Funding

Xinjiang Uygur Autonomous Region "Tianshan Talents" youth science and technology top talent project 2022TSYCCX0097
6 · The paper itself

Abstract

objectiveTo explore the relationship between the low-grade inflammation score (INFLA-score) and metabolic syndrome (MetS) in shift workers working in the oilfield operations in Karamay City, Xinjiang, and to provide data support for the effective prevention of MetS through the reduction of systemic inflammatory responses.

methodsINFLA-score was calculated based on C-reactive protein, leukocyte count, platelet count, and neutrophil-to-lymphocyte ratio (NLR) in 1,758 shift workers working at the oilfield base in Karamay City, Xinjiang, China, in the year 2023, as the study population. A logistic regression analysis model combined with restricted cubic spline was used to analyze the relationship between INFLA-score and MetS and its components in shift workers.

resultsA total of 1758 shift workers were included, of whom 785 were diagnosed with MetS. Multifactorial logistic regression analysis showed that those with higher INFLA score had a higher likelihood of developing MetS (OR = 1.08, 95% CI: 1.07-1.10). In the Q1-Q4 INFLA quartile group, the risk of developing MetS was 3.58 times higher in the Q4 group than in the Q1 group. After adjusting for all confounders, INFLA-score was found to be positively associated with elevated blood glucose, blood pressure, waist circumference, triglyceride levels, and lower HDL (p < 0.001). Restricted cubic spline results showed a dose-response relationship between INFLA-score and MetS and its components. In subgroup analyses and interaction tests, women had a higher risk of MetS than men (men: OR = 1.07, 95% CI: 1.05-1.09, p < 0.001; women: OR = 1.13, 95% CI: 1.09-1.16, p < 0.001), and the interaction showed that there was an effect of the association between sex and INFLA score on the occurrence of MetS (interaction p < 0.05).

conclusionsElevated INFLA-score was associated with MetS among shift workers, and the INFLA-score was a simple, cost-effective test for MetS. Therefore, MetS can be combated by controlling the levels of inflammatory factors in shift workers.

Indexed as

Inflammatory markersINFLA-scoreMetabolic syndromeOil workersShift workers

Identifiers

PMID41044611
PMCPMC12495778

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.