title: Community-based study on elderly CKD subjects and the associated risk factors.
abstract: OBJECTIVE
  To investigate the prevalence and risk factors for chronic kidney disease (CKD) among community elderly population in Shanghai, China, in order to provide early diagnosis and treatment of CKD, and improve the quality of life for elderly people.
  
  
  METHODS
  In all, 24,886 residents (≥65 years old) were selected from community population in Changning District of Shanghai, China in 2014. They were interviewed and tested for reduced renal function estimated GFR by CKD-EPI equation. The associations among demographic characteristics, healthy characteristics (e.g., cardiovascular disease and hypertension), and indicators of kidney damage were examined.
  
  
  RESULTS
  Approximately, 16.4% of the participants were CKD. The average of them was 74.9 ± 7.0 years old. Females had a significantly higher prevalence of CKD than males (17.6% vs. 14.9%). CKD patients were present in higher prevalence of female, hyperuricemia (29.6% vs. 18.7%), hypertension (45.1% vs. 40.3%), and cardiovascular disease (23.2% vs. 18.7%) than that of non-CKD population. CKD patients were present in lower prevalence of drinking than that of non-CKD population. The prevalence of CKD in female is 2.002 times than that of male. The prevalence of CKD increased 1.048 times with the age of each increase in 1 year old. The risk factors for CKD are age, female, hyperuricemia, cardiovascular disease, hypertension, hypercholesterolemia, and smoking.
  
  
  CONCLUSIONS
  The prevalence of CKD is high in the elderly population than that of adult CKD in Shanghai. The most risk factors for elderly CKD patients are similar to the adult population. But hypercholesterolemia as a risk fact of elderly CKD is different from adult CKD.
authors.affiliation: a Department of Nephrology , Tongren Hospital Shanghai Jiao Tong University School of Medicine , Shanghai , China.
authors.forename: Yan-Ping
authors.initials: YP
authors.lastname: Huang
authors.affiliation: b Institute of Image Communication and Networking , Shanghai Jiao Tong University , Shanghai , China.|c Department of Networking , Tongren Hospital Shanghai Jiao Tong University , Shanghai , China.
authors.forename: Tao
authors.initials: T
authors.lastname: Zheng
authors.affiliation: a Department of Nephrology , Tongren Hospital Shanghai Jiao Tong University School of Medicine , Shanghai , China.
authors.forename: Dan-Huan
authors.initials: DH
authors.lastname: Zhang
authors.affiliation: a Department of Nephrology , Tongren Hospital Shanghai Jiao Tong University School of Medicine , Shanghai , China.
authors.forename: Ling-Yun
authors.initials: LY
authors.lastname: Chen
authors.affiliation: a Department of Nephrology , Tongren Hospital Shanghai Jiao Tong University School of Medicine , Shanghai , China.
authors.forename: Pei-Jv
authors.initials: PJ
authors.lastname: Mao
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D042241:Early Diagnosis; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D006973:Hypertension / Q000453:epidemiology*; D033461:Hyperuricemia / Q000453:epidemiology*; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D011788:Quality of Life; D012042:Registries; D051436:Renal Insufficiency, Chronic / Q000150:complications* / Q000453:epidemiology*; D012307:Risk Factors; D012737:Sex Factors
keywords: Risk factor; chronic kidney disease; elderly; epidemiology; prevalence