title: Potassium and Obesity/Metabolic Syndrome: A Systematic Review and Meta-Analysis of the Epidemiological Evidence.
abstract: The objective of this study was to investigate the associations between potassium and obesity/metabolic syndrome. We identified eight relevant studies and applied meta-analysis, and nonlinear dose-response analysis to obtain the available evidence. The results of the pooled analysis and systematic review indicated that high potassium intake could not reduce the risk of obesity (pooled OR = 0.78; 95% CI: 0.61-1.01), while serum potassium and urinary sodium-to-potassium ratio was associated with obesity. Potassium intake was associated with metabolic syndrome (pooled OR = 0.75; 95% CI: 0.50-0.97). Nonlinear analysis also demonstrated a protective effect of adequate potassium intake on obesity and metabolic syndrome. Adequate intake of fruits and vegetables, which were the major sources of potassium, was highly recommended. However, additional pertinent studies are needed to examine the underlying mechanism.
authors.affiliation: Institute of Environmental Medicine, Zhejiang University, Hangzhou 310058, China. caixianlei@zju.edu.cn.|Ningbo Medical Treatment Center Lihuili Hospital, Ningbo 315000, China. caixianlei@zju.edu.cn.
authors.forename: Xianlei
authors.initials: X
authors.lastname: Cai
authors.affiliation: Department of Clinic Medicine, Zhejiang University, Hangzhou 310058, China. sherry98983@gmail.com.
authors.forename: Xueying
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Epidemiology and Biostatistics, Zhejiang University, Hangzhou 310058, China. 3090103824@zju.edu.cn.
authors.forename: Wenjie
authors.initials: W
authors.lastname: Fan
authors.affiliation: Department of Epidemiology and Biostatistics, Zhejiang University, Hangzhou 310058, China. 3100102431@zju.edu.cn.
authors.forename: Wanqi
authors.initials: W
authors.lastname: Yu
authors.affiliation: Department of Epidemiology and Biostatistics, Zhejiang University, Hangzhou 310058, China. wangsh2046@163.com.
authors.forename: Shan
authors.initials: S
authors.lastname: Wang
authors.affiliation: School of Civil Engineering and Geosciences, Newcastle University, Newcastle-upon-Tyne NE1 7RU, UK. Zhenhong.Li@newcastle.ac.uk.
authors.forename: Zhenhong
authors.initials: Z
authors.lastname: Li
authors.affiliation: School of Mathematics and Statistics, University of Glasgow, Glasgow G12 8QW, UK. Marian.Scott@glasgow.ac.uk.
authors.forename: Ethel Marian
authors.initials: EM
authors.lastname: Scott
authors.affiliation: Institute of Environmental Medicine, Zhejiang University, Hangzhou 310058, China. lixiuyang@zju.edu.cn.|Department of Epidemiology and Biostatistics, Zhejiang University, Hangzhou 310058, China. lixiuyang@zju.edu.cn.
authors.forename: Xiuyang
authors.initials: X
authors.lastname: Li
mesh_terms: D006801:Humans; D024821:Metabolic Syndrome / Q000378:metabolism*; D009765:Obesity / Q000378:metabolism*; D011188:Potassium / Q000097:blood / Q000378:metabolism* / Q000652:urine; D017419:Potassium, Dietary / Q000008:administration & dosage* / Q000494:pharmacology
chemical_list: D017419:Potassium, Dietary; D011188:Potassium
keywords: meta-analysis; metabolic syndrome; obesity; potassium; systematic review