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Table 1 General characteristics of the subjects

From: Association between shift work and microalbuminuria: data from KNHANES(2012–2014)

Variables   Male Female Total
Total (Na)   2094 906 3000
Age (years) 20–29 148 (12.1%) 1 (0.3%) 149 (9.7%)
  30–39 404 (22.1%) 3 (0.2%) 407 (17.7%)
  40–49 456 (25.7%) 36 (5.2%) 492 (21.5%)
  50–59 567 (26.9%) 401 (50.5%) 968 (31.7%)
  ≥ 60 519 (13.2%) 465 (43.8%) 984 (19.4%)
Body mass index(kg/m2) <23 740 (36.5%) 326 (37.7%) 1066 (36.7%)
(n = 2988) 23–25 519 (24.8%) 258 (27.6%) 777 (25.4%)
  ≥25 824 (38.7%) 321 (34.7%) 1145 (37.9%)
Education ≤ Elementary school 349 (12.3%) 485 (50.5%) 834 (20.0%)
(n = 2999) Middle school 330 (13.9%) 187 (22.7%) 517 (15.7%)
  High school 939 (49.3%) 200 (22.9%) 1139 (44.0%)
  ≥ University 475 (24.5%) 34 (3.9%) 509 (20.3%)
Household income Low 533 (26.9%) 192 (21.9%) 725 (25.9%)
(n = 2979) Low-middle 606 (28.8%) 296 (32.3%) 902 (29.5%)
  Middle-high 542 (25.5%) 241 (26.0%) 783 (25.6%)
  High 397 (18.8%) 172 (19.8%) 569 (19.0%)
Work pattern Day-worker 1653 (80.0%) 792 (86.8%) 2445 (81.4%)
  Shift worker 441 (20.0%) 114 (13.2%) 555 (18.6%)
Smoking status Non-smoker 358 (17.8%) 843 (94.2%) 1201 (33.2%)
(n = 2985) Ex-smoker 752 (32.5%) 24 (2.6%) 776 (26.5%)
  Current smoker 977 (49.7%) 31 (3.2%) 1008 (40.4%)
eavy alcohol drink Yes 280 (12.7%) 8 (1.1%) 288 (10.4%)
(n = 2985) No 1806 (87.3%) 891 (98.9%) 2697 (89.6%)
History of hypertension Yes 682 (28.0%) 372 (39.3%) 1054 (30.3%)
(n = 2987) No 1403 (72.0%) 530 (60.7%) 1933 (69.7%)
History of diabetes mellitus Yes 235 (9.4%) 103 (10.5%) 338 (9.6%)
(n = 2870) No 1775 (90.6%) 757 (89.5%) 2532 (90.4%)
Systolic blood pressure (mmHg) 119.62 ± 0.39 124.08 ± 0.74 120.52 ± 0.37
Diastolic blood pressure (mmHg) 78.99 ± 0.29 76.17 ± 0.45 78.42 ± 0.26
Fasting blood sugar (mg/dl) 100.15 ± 0.47 99.90 ± 0.93 100.10 ± 0.44
Triglyceride (mg/dl) 162.20 ± 3.40 124.10 ± 2.75 154.64 ± 2.81
Estimated glomerular filtration rate 95.28 ± 0.36 95.52 ± 0.32 95.33 ± 0.30
  1. aunweighted count
  2. Data are shown as Na (estimated percentage) for categorical variables and as mean ± standard error for continuous variables