Annals of Medicine Research and Public Health (ISSN: 2995-5955) | Volume 4, Issue 2 | Research Article | Open Access
Yuexiang Qin*
Yuyang Xiao1,3†, Xupeng Zhang3†, Jia Wang3, Xuchen Ma3, Binyu Sun3, Shanhu Yao4, Ying Li1, Lei Chen5, Yazhang Guo6, Xiaoyue Li7, Huirong Guo8 and Yeuxiang Qin1,2* 1Health Management Medicine Center, The Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China
2Hunan Clinical Medical Research Center for Chronic Disease Health Management, Changsha, 410013, Hunan Province, China
3Xiangya School of Medicine, Central South University, Changsha 410013, Hunan Province, China
4Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China
5Department of Cardiothoracic surgery，The Second Affiliated Hospital of Soochow University, Suzhou 215005, Jiangsu Province, China
6Health Management Center, First Affiliated Hospital of Jishou University, Jishou, 416000, Hunan Province, China
7Department of Health Management, Aerospace Center Hospital, Beijing, 100000, China
8Health Management Center, Changji Branch of The First Affiliated Hospital, Xinjiang Medical University, Changji, 831118, Xinjiang, China
†These authors contributed equally to this work and shared the first authorship.
*Correspondence to: Yuexiang Qin
Fulltext PDFObjective: To explore the relationship between high-sensitivity C-Reactive Protein (hs-CRP) and metabolic syndrome (MetS)/MetS transition, aiming to provide new insights into the prevention, diagnosis, and management of MetS.
Methods: From August 2017 to December 2023, 23,148 individuals were retrospectively recruited from five health management departments of general tertiary hospitals in northern and southern China. Basic demographic, clinical data, and hs-CRP levels were collected. Among them, the study focused on 531 participants who were MetS-negative at baseline and examined the transition of MetS status during the second health check six years later. Logistic regression models were used to analyze the association between MetS/MetS transition and hs-CRP.
Results: The prevalence of MetS was 32.3%, significantly higher in males than females. MetS-positive individuals exhibited elevated hs-CRP levels and higher age, BMI, blood pressure, lipid, and glucose parameters. Multivariate logistic regression analysis revealed a significant association between hs-CRP and MetS progression in all participants and males, while this association weakened in females after full adjustment. Among 531 MetS-negative participants at baseline, 16.8% (89 individuals) developed MetS during the 6-year follow-up. Higher baseline hs-CRP levels were linked to MetS transition in males, but not in females.
Conclusion: High-sensitivity hs-CRP emerges as a highly promising biomarker for MetS, demonstrating value not only in monitoring disease progression but also in revealing sex-specific pathophysiological divergence, with particularly superior predictive capacity for male MetS risk compared to females.
Metabolic Syndrome; High-Sensitivity C-Reactive Protein; Inflammatory Marker; Multivariate Logistic Regression
Yuyang Xiao, Xupeng Zhang, Jia Wang, Xuchen Ma, Binyu Sun Yeuxiang Qin, et al. Association of High-Sensitivity C-Reactive Protein with Metabolic Syndrome and Transitions in Metabolic Status: A Cohort Study Revealing Gender Disparities in Chinese Adults. Ann Med Res Pub Health. 2025;4(2):1-34.