Qingqing Zhang, Jing Zheng, Guoyu Wang, Suyun Jiang, Peng Gao, Si Sun, Xiangwei Ding, Yucheng Wu
{"title":"Cardiovascular-Kidney-Metabolic Syndrome Among Healthcare Workers in Chinese Tertiary Hospital.","authors":"Qingqing Zhang, Jing Zheng, Guoyu Wang, Suyun Jiang, Peng Gao, Si Sun, Xiangwei Ding, Yucheng Wu","doi":"10.2147/RMHP.S488289","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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, <i>P</i> < 0.05). Receiver operating characteristic analysis showed that body mass index (BMI) was superior to fasting plasma glucose, glycated hemoglobin, triglycerides, and the triglyceride glucose product index in predicting CKM Syndrome, with area under the curve values of 0.884 vs 0.638, 0.708, 0.745, and 0.761, respectively (<i>P</i> < 0.05 for all). BMI was identified as an independent risk factor for female-specific risk enhancers.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":56009,"journal":{"name":"Risk Management and Healthcare Policy","volume":"17 ","pages":"2647-2657"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11546278/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management and Healthcare Policy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/RMHP.S488289","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
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, P < 0.05). Receiver operating characteristic analysis showed that body mass index (BMI) was superior to fasting plasma glucose, glycated hemoglobin, triglycerides, and the triglyceride glucose product index in predicting CKM Syndrome, with area under the curve values of 0.884 vs 0.638, 0.708, 0.745, and 0.761, respectively (P < 0.05 for all). BMI was identified as an independent risk factor for female-specific risk enhancers.
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.
期刊介绍:
Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include:
Public and community health
Policy and law
Preventative and predictive healthcare
Risk and hazard management
Epidemiology, detection and screening
Lifestyle and diet modification
Vaccination and disease transmission/modification programs
Health and safety and occupational health
Healthcare services provision
Health literacy and education
Advertising and promotion of health issues
Health economic evaluations and resource management
Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.