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题名

Metabolic Syndrome Components and Chronic Kidney Disease in a Community Population Aged 40 Years and Older in Southern China: A Cross-Sectional Study

作者
通讯作者Zou, Hequn; Zhang, Xinzhou
发表日期
2022
DOI
发表期刊
ISSN
1178-7007
卷号15
摘要
Purpose: To investigate the correlation between metabolic syndrome components and chronic kidney disease (CKD) among a community population aged 40 years and older in Southern China. Patients and Methods: From December 2017 to March 2018, 1969 participants (male n = 715, female n = 1254) aged 40 years and older were recruited in Southern China for a cross-sectional survey. A logistic regression model was established to analyze the correlation between metabolic syndrome components and CKD. Results: Among the 1969 subjects, 407 (20.7%) were CKD patients, including 152 males (prevalence rate 21.3%) and 255 females (prevalence rate 20.3%). Anthropometric data (waist circumference, age, systolic and diastolic blood pressure), serum/plasma data (serum creatinine, serum uric acid, fasting plasma glucose, C-reactive protein, serum triglyceride), urinary and other findings (body mass index, waist-to-hip and waist-to-height ratios, urinary albumin to creatinine ratio, homeostasis model assessment of insulin resistance) were significantly higher in patients with than without CKD (P < 0.05). Metabolic syndrome and at least some of its components were statistically significant risk factors for CKD in models with and without adjustment for diabetes, obesity and hypertension. Conclusion: Metabolic syndrome and its single or combined components are independently associated with CKD in community populations aged 40 years and older. The correlation between some components and CKD remained significant in both non-diabetic and non-obese subjects. Correlations between components of metabolic syndrome and CKD show that it is feasible and necessary to carry out targeted screening and intervention tests in people aged 40 and over.
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相关链接[来源记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
资助项目
Risk factors and prediction model of chronic kidney disease caused by metabolic syndrome: A multicentric prospective cohort study Clinical trial training project of Southern Medical University[LC2016PY047] ; Science and Technique Program of Guangzhou[201604020015] ; South Wisdom Valley Innovative Research Team Program[CXTD-004] ; Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties[SZGSP001] ; Shenzhen Governmental Sustainable Development Fund[KCXFZ20201221173612034]
WOS研究方向
Endocrinology & Metabolism
WOS类目
Endocrinology & Metabolism
WOS记录号
WOS:000773345600004
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:6
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/328751
专题南方科技大学第一附属医院
作者单位
1.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Dept Nephrol,Affiliated Hosp 1,Clin Med Coll 2, Shenzhen 518020, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Jinan Univ, Clin Med Coll 2,Shenzhen Peoples Hosp,Shenzhen Ke, Shenzhen 518055, Peoples R China
3.Southern Med Univ, Dept Nephrol, Affiliated Hosp 3, Guangzhou 510630, Peoples R China
4.Southern Med Univ, Zhujiang Hosp, Guangzhou 510282, Peoples R China
5.Shenzhen Univ, South China Hosp, Hlth Sci Ctr, Dept Nephrol, Shenzhen 518116, Peoples R China
第一作者单位南方科技大学第一附属医院
通讯作者单位南方科技大学第一附属医院
第一作者的第一单位南方科技大学第一附属医院
推荐引用方式
GB/T 7714
Xiao, Hua,Shao, Xiaofei,Gao, Peichun,et al. Metabolic Syndrome Components and Chronic Kidney Disease in a Community Population Aged 40 Years and Older in Southern China: A Cross-Sectional Study[J]. Diabetes Metabolic Syndrome and Obesity-Targets and Therapy,2022,15.
APA
Xiao, Hua,Shao, Xiaofei,Gao, Peichun,Zou, Hequn,&Zhang, Xinzhou.(2022).Metabolic Syndrome Components and Chronic Kidney Disease in a Community Population Aged 40 Years and Older in Southern China: A Cross-Sectional Study.Diabetes Metabolic Syndrome and Obesity-Targets and Therapy,15.
MLA
Xiao, Hua,et al."Metabolic Syndrome Components and Chronic Kidney Disease in a Community Population Aged 40 Years and Older in Southern China: A Cross-Sectional Study".Diabetes Metabolic Syndrome and Obesity-Targets and Therapy 15(2022).
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