Cargando…

Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study

OBJECTIVE: To investigate the prevalence of microalbuminuria (MAU) among Chinese individuals without diabetes and the relationship between MAU and metabolic factors, individual socioeconomic status (SES), and regional economic development level. DESIGN: Cross-sectional study of prevalence of MAU. SE...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Jianzhong, Xing, Xiaoyan, Lu, Juming, Weng, Jianping, Jia, Weiping, Ji, Linong, Shan, Zhongyan, Liu, Jie, Tian, Haoming, Ji, Qiuhe, Zhu, Dalong, Ge, Jiapu, Chen, Gang, Chen, Li, Guo, Xiaohui, Zhao, Zhigang, Li, Qiang, Zhou, Zhiguang, Yang, Zhaojun, Shan, Guangliang, He, Jiang, Yang, Wenying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3822315/
https://www.ncbi.nlm.nih.gov/pubmed/24189077
http://dx.doi.org/10.1136/bmjopen-2013-003325
_version_ 1782290397013213184
author Xiao, Jianzhong
Xing, Xiaoyan
Lu, Juming
Weng, Jianping
Jia, Weiping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Chen, Gang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Yang, Zhaojun
Shan, Guangliang
He, Jiang
Yang, Wenying
author_facet Xiao, Jianzhong
Xing, Xiaoyan
Lu, Juming
Weng, Jianping
Jia, Weiping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Chen, Gang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Yang, Zhaojun
Shan, Guangliang
He, Jiang
Yang, Wenying
author_sort Xiao, Jianzhong
collection PubMed
description OBJECTIVE: To investigate the prevalence of microalbuminuria (MAU) among Chinese individuals without diabetes and the relationship between MAU and metabolic factors, individual socioeconomic status (SES), and regional economic development level. DESIGN: Cross-sectional study of prevalence of MAU. SETTING: 152 urban street districts and 112 rural villages from northeast, north, east, south central, northwest and southwest China. PARTICIPANTS: 46 239 participants were recruited using a multistage stratified sampling design from 2007 to 2008. A total of 41 290 participants without diabetes determined by oral glucose tolerance test were included in the present study. Urine albumin/creatinine ratio results of 35 430 individuals were available. PRIMARY AND SECONDARY OUTCOME MEASURES: Positive detection of MAU was determined using an ACR of 22.1–299.9 mg/g in men 30.9–299.9 mg/g in women. RESULTS: The prevalence of MAU in men was 22.4% and 24.5% in women. In developed, intermediate-developed and under-developed areas, the prevalence of MAU in men was 20.7%, 21.9% and 32.5%, respectively; in women the prevalence was 19.6%, 26.0% and 29.5%, respectively. The prevalence of MAU increased as the number of metabolic disorders present increased, and as the number of lower SES components increased (farmer, below university education level and low income). Prevalence of MAU in developed and intermediate developed areas had adjusted risk ratios of 0.52 (95% CI 0.42 to 0.60) and 0.65 (95% CI 0.57 to 0.76), respectively. Multivariate logistic analyses demonstrated MAU was strongly associated with older age, high-blood pressure, higher blood glucose low education level, low occupational level and residence in under-developed region. CONCLUSIONS: Several factors had independent correlations to MAU in China: older age, metabolic abnormalities, lower SES level and living in economically under-developed areas, which encourage the development of strategies to lower the risk for MAU in these susceptible populations.
format Online
Article
Text
id pubmed-3822315
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-38223152013-11-12 Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study Xiao, Jianzhong Xing, Xiaoyan Lu, Juming Weng, Jianping Jia, Weiping Ji, Linong Shan, Zhongyan Liu, Jie Tian, Haoming Ji, Qiuhe Zhu, Dalong Ge, Jiapu Chen, Gang Chen, Li Guo, Xiaohui Zhao, Zhigang Li, Qiang Zhou, Zhiguang Yang, Zhaojun Shan, Guangliang He, Jiang Yang, Wenying BMJ Open Renal Medicine OBJECTIVE: To investigate the prevalence of microalbuminuria (MAU) among Chinese individuals without diabetes and the relationship between MAU and metabolic factors, individual socioeconomic status (SES), and regional economic development level. DESIGN: Cross-sectional study of prevalence of MAU. SETTING: 152 urban street districts and 112 rural villages from northeast, north, east, south central, northwest and southwest China. PARTICIPANTS: 46 239 participants were recruited using a multistage stratified sampling design from 2007 to 2008. A total of 41 290 participants without diabetes determined by oral glucose tolerance test were included in the present study. Urine albumin/creatinine ratio results of 35 430 individuals were available. PRIMARY AND SECONDARY OUTCOME MEASURES: Positive detection of MAU was determined using an ACR of 22.1–299.9 mg/g in men 30.9–299.9 mg/g in women. RESULTS: The prevalence of MAU in men was 22.4% and 24.5% in women. In developed, intermediate-developed and under-developed areas, the prevalence of MAU in men was 20.7%, 21.9% and 32.5%, respectively; in women the prevalence was 19.6%, 26.0% and 29.5%, respectively. The prevalence of MAU increased as the number of metabolic disorders present increased, and as the number of lower SES components increased (farmer, below university education level and low income). Prevalence of MAU in developed and intermediate developed areas had adjusted risk ratios of 0.52 (95% CI 0.42 to 0.60) and 0.65 (95% CI 0.57 to 0.76), respectively. Multivariate logistic analyses demonstrated MAU was strongly associated with older age, high-blood pressure, higher blood glucose low education level, low occupational level and residence in under-developed region. CONCLUSIONS: Several factors had independent correlations to MAU in China: older age, metabolic abnormalities, lower SES level and living in economically under-developed areas, which encourage the development of strategies to lower the risk for MAU in these susceptible populations. BMJ Publishing Group 2013-11-04 /pmc/articles/PMC3822315/ /pubmed/24189077 http://dx.doi.org/10.1136/bmjopen-2013-003325 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Renal Medicine
Xiao, Jianzhong
Xing, Xiaoyan
Lu, Juming
Weng, Jianping
Jia, Weiping
Ji, Linong
Shan, Zhongyan
Liu, Jie
Tian, Haoming
Ji, Qiuhe
Zhu, Dalong
Ge, Jiapu
Chen, Gang
Chen, Li
Guo, Xiaohui
Zhao, Zhigang
Li, Qiang
Zhou, Zhiguang
Yang, Zhaojun
Shan, Guangliang
He, Jiang
Yang, Wenying
Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title_full Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title_fullStr Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title_full_unstemmed Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title_short Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study
title_sort prevalence and associated factors of microalbuminuria in chinese individuals without diabetes: cross-sectional study
topic Renal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3822315/
https://www.ncbi.nlm.nih.gov/pubmed/24189077
http://dx.doi.org/10.1136/bmjopen-2013-003325
work_keys_str_mv AT xiaojianzhong prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT xingxiaoyan prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT lujuming prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT wengjianping prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT jiaweiping prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT jilinong prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT shanzhongyan prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT liujie prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT tianhaoming prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT jiqiuhe prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT zhudalong prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT gejiapu prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT chengang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT chenli prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT guoxiaohui prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT zhaozhigang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT liqiang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT zhouzhiguang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT yangzhaojun prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT shanguangliang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT hejiang prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT yangwenying prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy
AT prevalenceandassociatedfactorsofmicroalbuminuriainchineseindividualswithoutdiabetescrosssectionalstudy