Kidney Week

Abstract: TH-PO1065

Association Between CKD and Socioeconomic Status: The Korea National Health and Nutrition Examination Survey 2010-2015

Session Information

• CKD: Epidemiology, Risk Factors, Prevention - I
  October 25, 2018 | Location: Exhibit Hall, San Diego Convention Center
  Abstract Time: 10:00 AM - 12:00 PM

Category: CKD (Non-Dialysis)

• 1901 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

• Hwang, Subin, Inje University Seoul Paik Hospital, Inje University School of Medicine, Seoul, Korea (the Republic of)

Subin Hwang,

• Yoo, Kyung Don, Dongguk University College of Medicine , Gyeongju, Korea (the Republic of)

Kyung Don Yoo,

• Kim, Hyo Jin, Dongguk University College of Medicine , Gyeongju, Korea (the Republic of)

Hyo Jin Kim,

• Park, Ji In, Kangwon National University Hospital, Chuncheon, Korea (the Republic of)

Ji In Park,

• Koo, Ho seok, Inje University Seoul Paik Hospital, Inje University School of Medicine, Seoul, Korea (the Republic of)

Ho seok Koo,

Background

The prevalence of chronic kidney disease (CKD) has been increasing. CKD affects in the patients' aspects regarding economic, social and emotional status. However, few recent studies dissecting the socioeconomic characteristics focused on CKD patients. We examined associations of CKD with annual income levels, education, smoking and alcohol consumption status, and emotional status independent of age and sex.

Methods

We performed a cross-sectional study of 23,701 participants with CKD, using data from the Korea National Health and Nutrition Examination Survey (KNHANES), obtained from 2010 to 2015. CKD was defined as dipstick positive proteinuria or estimated glomerular filtration rate<60mL/min/1.73m². The same number of participants was propensity score matched by age and sex (each group n=1,952). Clinical and socioeconomic characteristics of two groups were analyzed.

Results

For participants with CKD versus without CKD, the estimated prevalence of hypertension and diabetes was 41.8% versus 32.4% and 24.3% versus 13.6%, respectively (each P<0.001); from the lowest to the highest, the income quartiles were 26.1%, 24.7%, 25.2%, 24.0% versus 22.6% 24.4% 26.0%, 27.0%, respectively (P=0.038). The Education level was lower in patients with CKD than in normal subjects. There were more irregular workers in the CKD group. In CKD group, current smoker was higher than non CKD group (26.8% versus 21.8%, P<0.001) but case with no history of alcohol drinking in the past year was also higher (28.3% versus 20.6%, P<0.001). Depressive symptoms for two consecutive weeks and suicidal ideation were higher in CKD group (12.2% versus 8.8%, P<0.001; 9.8% versus 7.2%, P<0.001, respectively). In logistic regression, the risk of CKD was 1.21 (95% CI 1.00-1.46, P=0.393) in lowest quartile of income group, 1.25 (95% CI 1.00-1.56, P=0.049) and 1.11 (95% CI 0.84-1.46, P=0.453), respectively, in the order of the quartiles based on the highest group. After adjusting, the risk of CKD was 1.17 (95% CI 0.97-1.42, P=0.085), 1.24 (95% CI 0.99-1.57, P=0.059) and 1.19 (95% CI 0.89-1.57, P=0.226), respectively.

Conclusion

Patients with CKD are associated with other chronic disease, low annual income, low education level, irregular workers, high smoking rate, and depressive mood contributing substantially to the burden for CKD.