ArticleRisk management and healthcare policy2024
Cardiovascular-Kidney-Metabolic Syndrome Among Healthcare Workers in Chinese Tertiary Hospital.
Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Associations of triglyceride-glucose-related indices and cardiovascular health with retinal arteriosclerosis: a cross-sectional study.Frontiers in public health · 2026Article
- Prevalence of Cardiovascular-Kidney-Metabolic (CKM) Syndrome in Lithuanian Adults: Insights from a Nationwide Real-World Study Using Electronic Health Records.Medicina (Kaunas, Lithuania) · 2025Article
- Association of the Dietary Index for Gut Microbiota and Cardiovascular-Kidney-Metabolic Syndrome: The Mediation Effect of Phenotypic and Biological Age Acceleration, BMI, and BRI.Food science & nutrition · 2025Article
- Prevalence and Mortality of Cardiovascular-Kidney-Metabolic Syndrome in China: A Nationwide Population-Based Study.JACC. Asia · 2025Article
- Article
- Prediction of depression risk in middle-aged and elderly Cardiovascular-Kidney-Metabolic syndrome patients by social and environmental determinants of health: an interpretable machine learning approach using longitudinal data from China.Journal of health, population, and nutrition · 2025Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: To determine the prevalence of Cardiovascular-Kidney-Metabolic (CKM) Syndrome and identify risk factors, including occupational factors, lifestyle factors and clinical measurements, and female-specific risk enhancers among healthcare workers in China. Methods: A cross-sectional study was conducted among healthcare workers at Taizhou People's Hospital between April and May 2024. We collected data through surveys and laboratory results. Univariate and multivariate logistic regression analyses were performed to identify predictors of CKM syndrome and female-specific risk enhancers. Results: A total of 1110 participants were recruited (197 male; 913 female; mean age 34.8±7.9). Almost 90% of male healthcare workers and 60% of female healthcare workers met the criteria for CKM syndrome (stage 1 or higher). Additionally, most male CKM syndrome patients were in stages 2-3 (53.81%), while most female CKM syndrome patients were in stage 1 (35.82%). Multivariate logistic regression analysis revealed that, compared to those with over 20 years of work duration, a work duration of less than 10 years was a protective factor for CKM Syndrome. Additionally, more than 8 hours of sedentary time was identified as a risk factor compared to less than 2 hours (OR = 1.376, 95% CI 1.027-1.844, Conclusion: CKM syndrome is prevalent among healthcare workers in Chinese tertiary hospitals, with males generally presenting at more advanced stages than females. BMI is a key predictor of CKM syndrome and female-specific risk enhancers.
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