新乡地区体检者蛋白尿检出情况及高危影响因素分析

doi:10.3969/j.issn.1006-6233.2018.02.035

Abstract
Figure/Table
References
Related Citation (5)

Download: PDF (1305 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective: To explore the detection of proteinuria in Xinxiang area and the influencing factors of high risk. Methods: A retrospective analysis was made on the physical examination data of 930 cases of physical examination in Xinxiang March 2015 to December 2016. According to the examination of urine protein group, urinary protein levels in normal subjects as control group, 759 cases of abnormal proteinuria as the observation group, 171 cases. The effects of the general information, weight mass index (BMI), medical history, blood lipid and other factors on the level of proteinuria were analyzed and compared. Results: The 930 cases included in the prevalence of proteinuria was 18.39%. The higher the age, the higher BMI index, the high frequency of heavy metal contact, the high blood pressure of blood lipid and blood sugar, the higher the rate of albuminuria. According to the P < 0.05 standard, the variables selected by single factor, such as age, BMI, occupation, blood pressure and other variables were evaluated. The level of proteinuria is abnormal for the dependent variables to establish regression model, Logistic regression analysis showed that age (OR=0.289), BMI (OR=0.094), occupation (OR=0.394), blood pressure (OR=0.353), blood lipids (OR=4.772), blood glucose (OR=0.230) in Xinxiang area is high risk persons influence the level of proteinuria abnormal factor. Conclusion: The prevalence of proteinuria in Xinxiang was higher examination, increased age, hypertension, high blood sugar, high blood lipids, high heavy metal contact occupation, the body mass index is high risk factors affecting proteinuria, can reduce the incidence of proteinuria by controlling the above factors.

Key words： Proteinuria Xinxiang area High risk factors Physical examination

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LI Yichun
	et al

Cite this article:

LI Yichun,et al. Analysis of Urine Protein and High Risk Factors in Medical Examiners in Xinxiang[J]. HeBei Med, 2018, 24(2): 309-313.

URL:

http://www.hbyxzzs.cn/EN/10.3969/j.issn.1006-6233.2018.02.035 OR http://www.hbyxzzs.cn/EN/Y2018/V24/I2/309

[1] 梁梅,徐梅,刘长江,等.1170例体检者微量白蛋白尿分布状况调查[J].临床肾脏病杂志,2016,16(5):290~293.
[2] 刘波,姚华,周晶,等.乌鲁木齐地区39980名体检者血脂异常检出率及其影响因素分析[J].中华健康管理学杂志,2016,10(5):371~376.
[3] 于祥远,秦林原,张瑛,等.桂林市城区体检人群空腹血糖异常流行状况及影响因素分析[J].中国预防医学杂志,2015,16(7):524~527.
[4] 黄鲁,曾洪利,HuangLu,等.1218名体检者血脂水平及其影响因素分析[J].广州医学院学报,2016,44(1):56~60.
[5] 刘同强,李娟娟,孙国民.青年高尿酸血症患者尿中中性粒细胞明胶酶相关脂质运载蛋白和肾损伤分子-1水平及影响因素分析[J].中华风湿病学杂志,2015,19(11):764~768.
[6] 梁梅,徐梅,刘长江,等.1170例体检者微量白蛋白尿分布状况调查[J].临床肾脏病杂志,2016,16(5):290~293.
[7] 朱颖炜,袁高辉.急性冠脉综合征患者尿微量白蛋白与尿肌酐比值与危险分层及近期预后的相关性分析[J].现代实用医学,2016,28(1):39~41.
[8] 薛宁,丁小强,钟一红,等.健康体检人群单次尿检异常和肾功能减退的危险因素[J].复旦学报(医学版),2010,37(5):514~518.
[9] 王娇,张如意,宋青青,等.中老年糖尿病高危人群尿微量白蛋白患病率及相关危险因素分析[J].实用医学杂志,2013,29(12):2026~2028.
[10] 王艳芳,张雪明,卢佳,等.健康体检人群中代谢性疾病与尿检异常及肾功能减退的危险因素探讨[J].健康前沿,2017,26(2):12~14.
[11] 黄学忠,雷明德,胡思纤.招工体检尿检标本可信度分析及质量控制[J].国际检验医学杂志,2013,34(13):1728~1729.
[12] 叶玲丽,朱垂玲.临床尿常规检验的影响因素探讨[J].医学美学美容旬刊,2015,7(5):141~142.
[13] 陈蕊,刘昌华,高波.无症状尿检异常患者的临床病理和预后分析[J].中华全科医学,2012,10(12):138~139.
[14] 尤鑫.糖尿病诊断中尿常规定性检验蛋白尿临床价值探讨[J].糖尿病新世界,2016,19(20):95~96.
[15] 陈茂杰,刘倩倩,黄蕾蕾,等.江苏省徐州地区健康体检者蛋白尿检出现状及其危险因素分析[J].中国临床医学,2012,19(4):402~404.
[16] 王娇,张如意,宋青青,等.中老年糖尿病高危人群尿微量白蛋白患病率及相关危险因素分析[J].实用医学杂志,2013,29(12):2026~2028.
[17] 陈叶君,严光亮.高风险普外科手术患者术后血浆白蛋白水平影响因素分析[J].浙江医学,2011,33(6):857~859.
[18] 郑杨剑,刘松鹤,林韩立,等.高血压患者微量白蛋白尿检测意愿及影响因素调查分析[J].心脑血管病防治,2012,12(2):149~150.