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. 2019 Apr 15;2019:6217036. doi: 10.1155/2019/6217036

Table 1.

Participants' general characteristics.

Category 2013 2015 P-value Total
Sex
 Male 545 545 0.983 1090 (49.5)
 Female 556 556 1111 (50.5)
Age (years)
 20–29 183 (16.6) 194 (17.6) 0.852 377 (17.1)
 30–39 224 (20.3) 204 (18.5) 428 (19.4)
 40–49 243 (22.1) 234 (21.3) 477 (21.7)
 50–59 217 (19.7) 218 (19.8) 435 (19.8)
 60–69 120 (10.9) 130 (11.8) 250 (11.4)
 Over 70 114 (10.4) 120 (10.9) 234 (10.6)
 Mean 46.4 ± 15.3 46.6 ± 15.6 0.731 46.5 ± 15.4
Body mass index (kg/m2) 23.2 ± 3.0 23.2 ± 2.8 0.937 23.2 ± 2.9
Drinking
 Current drinker 961 (87.3) 720 (65.5) < 0.001 1681 (76.4)
 Not drinking 140 (12.7) 380 (34.5) 520 (23.6)
Smoking
 Current smoker 293 (26.6) 275 (25.0) 0.387 568 (25.8)
 Not smoking 808 (73.4) 825 (75.0) 1633 (74.2)
Marital status
 With spouse 814 (74.0) 777 (70.6) 0.078 1591 (72.3)
 Without spouse 286 (26.0) 323 (29.4) 609 (27.7)
Income
 Under 200 199 (18.2) 142 (12.9) 0.001 341 (15.5)
 200–300 219 (20.0) 187 (17.0) 406 (18.5)
 300–400 299 (27.3) 325 (29.5) 624 (28.4)
 400–500 167 (15.3) 184 (16.7) 351 (16.0)
 Over 500 211 (19.3) 262 (23.8) 473 (21.5)
Occupation$
 Office 219 (19.9) 253 (23.0) 0.130 472 (21.4)
 Service 390 (35.4) 394 (35.8) 784 (35.6)
 Others 492 (44.7) 453 (41.2) 945 (42.9)
Education
 ≤ Middle school 208 (19.0) 162 (14.7) 0.017 370 (16.9)
 High school 420 (38.4) 466 (42.4) 886 (40.4)
 ≥ University 466 (42.6) 472 (42.9) 938 (42.8)
Hands score 3.5 ± 1.6 3.4 ± 1.5 0.413 3.4±1.6
Feet score 3.5 ± 1.6 3.5 ± 1.5 0.973 3.5±1.6
Abdomen score 3.6 ± 1.5 3.6 ± 1.4 0.627 3.6±1.4

Total 1101 (50.0) 1100 (50.0) 2201 (100)

Data are shown as n (%) or the mean ± standard deviation. P values were calculated by chi-square test or Student's t-test

  “Current drinker” was defined as alcohol consumption at least once a month; “Not drinking” was defined as alcohol consumption less than once a month.

  Average monthly household income (unit: 10,000 KRW)

$  “Office” includes administrative, professional, and clerical work; “Service” includes service and sales industries; “Others” includes skilled or machine work, labour, agriculture and forestry, fishing, and unemployment.