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作 者:JI Sai Sai LYU Yue Bin QU Ying Li HU Xiao Jian LU Yi Fu CAI Jun Fang SONG Shi Xun ZHANG Xu LIU Ying Chun YANG Yan Wei ZHANG Wen Li LI Ya Wei ZHANG Ming Yuan CHEN Chen LI Cheng Cheng LI Zheng GU Heng LIU Ling CAI Jia Yi QIU Tian FU Hui JI S.John ZHAO Feng ZHU Ying CAO Zhao Jin SHI Xiao Ming
机构地区:[1]China CDC Key Laboratory of Environment and Population Health,National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing 100021,China [2]School of Public Health,Jilin University,Changchun 130021,Jilin,China [3]Vanke School of Public Health,Tsinghua University,Beijing 100084,China
出 处:《Biomedical and Environmental Sciences》2022年第10期899-910,共12页生物医学与环境科学(英文版)
基 金:supported by the National Health Commission Public Health Special Program of China[grant number:131031108000160004]
摘 要:Objective The study aimed to analyze the applicability of the World Health Organization’s exclusionary guidelines for Urinary creatinine(Ucr)in the general Chinese population,and to identify Ucr related factors.Methods We conduct a cross-sectional study using baseline data from 21,167 participants in the China National Human Biomonitoring Program.Mixed linear models and restricted cubic splines(RCS)were used to analyze the associations between explanatory variables and Ucr concentration.Results The geometric mean and median concentrations of Ucr in the general Chinese population were 0.90 g/L and 1.01 g/L,respectively.And 9.36%samples were outside 0.3-3.0 g/L,including 7.83%below the lower limit and 1.53%above the upper limit.Middle age,male,obesity,smoking,higher frequency of red meat consumption and chronic kidney disease were associated significantly with higher concentrations of Ucr.Results of the RCS showed Ucr was positively and linearly associated with body mass index,inversely and linearly associated with systolic blood pressure,diastolic blood pressure,triglycerides level,and glomerular filtration rate,and were non-linearly associated with triiodothyronine.Conclusion The age-and gender-specific cut-off values of Ucr that determine the validity of urine samples in the general Chinese population were recommended.To avoid introducing bias into epidemiologic associations,the potential predictors of Ucr observed in the current study should be considered when using Ucr to adjust for variations in urine dilution.
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