Table 2 Prevalence of microalbuminuria according to variables
From: Association between shift work and microalbuminuria: data from KNHANES(2012–2014)
Variables | Male | Female | |||||
|---|---|---|---|---|---|---|---|
ACR < 30 | ACR ≥ 30 | P-value | ACR < 30 | ACR ≥ 30 | P-value | ||
Age (years) | 20–29 | 99.5(0.5) | 0.5(0.5) | <0.01 | 100(0.0) | <0.01 | |
30–39 | 95.6(1.2) | 4.4(1.2) | 100(0.0) | ||||
40–49 | 95.0(1.2) | 5.0(1.2) | 92.3(4.3) | 7.7(4.3) | |||
50–59 | 93.4(1.2) | 6.6(1.2) | 92.8(1.4) | 7.2(1.4) | |||
≥ 60 | 89.0(1.7) | 11.0(1.7) | 86.4(2.0) | 13.6(2.0) | |||
Body mass index | <23 | 95.7(0.9) | 4.3(0.9) | <0.01 | 93.1(1.8) | 6.9(1.8) | 0.07 |
23–25 | 97.1(0.7) | 2.9(0.7) | 89.3(2.2) | 10.7(2.2) | |||
≥25 | 91.5(1.0) | 8.5 (1.0) | 86.4(2.0) | 13.6(2.0) | |||
Education | ≤ Elementary school | 92.4(1.6) | 7.6(1.6) | 0.30 | 87.5(1.7) | 12.5(1.7) | 0.23 |
Middle school | 93.9(1.6) | 6.1(1.6) | 93.6(1.9) | 6.4(1.9) | |||
High school | 94.4(0.8) | 5.6(0.8) | 90.2(2.7) | 9.8(2.7) | |||
≥ University | 95.9(1.0) | 4.1(1.0) | 94.5(5.3) | 5.5(5.3) | |||
Household income | Low | 95.4(1.0) | 4.6(1.0) | 0.44 | 90.0(2.3) | 10.0(2.3) | 0.63 |
Low-middle | 93.0(1.2) | 7.0(1.2) | 90.5(1.9) | 9.5(1.9) | |||
Middle-high | 94.7(1.0) | 5.3(1.0) | 87.3(2.4) | 12.7(2.4) | |||
High | 94.7(1.4) | 5.3(1.4) | 91.4(2.8) | 8.6(2.8) | |||
Work pattern | Day-worker | 94.2(0.7) | 5.8(0.7) | 0.34 | 90.8(1.2) | 9.2(1.2) | <0.05 |
Shift worker | 95.4(1.0) | 4.6(1.0) | 83.1(3.8) | 16.9(3.8) | |||
Smoking status | Non-smoker | 95.2(1.3) | 4.8(1.3) | 0.67 | 90.0(1.2) | 10.0(1.2) | 0.28 |
Ex-smoker | 94.9(1.0) | 5.1(1.0) | 79.0(9.1) | 21.0(9.1) | |||
Current smoker | 93.9(0.9) | 6.1(0.9) | 89.1(6.3) | 10.9(6.3) | |||
Heavy alcohol drink | Yes | 91.9(1.7) | 8.1(1.7) | 0.06 | 95.6(4.6) | 4.4(4.6) | 0.38 |
No | 94.8(0.6) | 5.2(0.6) | 89.6(1.1) | 10.4(1.1) | |||