Table 1 Distribution of individual and regional characteristics by dental caries experience
Total | No (DMFT = 0) | Yes (DMFT ≥ 1) | p-value* | |||||
|---|---|---|---|---|---|---|---|---|
No. | (%) | No. | (%) | No. | (%) | |||
Total** | 5,259 | (100.0) | 625 | (11.9) | 4,634 | (88.1) | ||
Individual level | ||||||||
Gender | ||||||||
Men | 2,191 | (41.7) | 367 | (16.8) | 1,824 | (83.3) | <0.0001 | |
Women | 3,068 | (58.3) | 258 | (8.4) | 2,810 | (91.6) | ||
Age (years) | ||||||||
19–34 | 1,673 | (31.8) | 258 | (15.4) | 1,415 | (84.6) | <0.0001 | |
35–44 | 1,296 | (24.6) | 184 | (14.2) | 1,112 | (85.8) | ||
45–54 | 1,084 | (20.6) | 105 | (9.7) | 979 | (90.3) | ||
55–64 | 1,206 | (22.9) | 78 | (6.5) | 1,128 | (93.5) | ||
Monthly family income (thousand Korean won) | ||||||||
<500 | 706 | (14.0) | 61 | (8.6) | 645 | (91.4) | 0.012 | |
500–990 | 1,196 | (23.7) | 144 | (12.0) | 1,052 | (88.0) | ||
1000–1490 | 1,093 | (21.6) | 130 | (11.9) | 963 | (88.1) | ||
≥1500 | 2,061 | (40.8) | 275 | (13.3) | 1,786 | (86.7) | ||
Tooth-brushing frequency (number/day) | ||||||||
0–1 | 482 | (9.2) | 47 | (9.8) | 435 | (90.3) | 0.313 | |
2 | 2,908 | (55.3) | 349 | (12.0) | 2,559 | (88.0) | ||
≥3 | 1,867 | (35.5) | 228 | (12.2) | 1,639 | (87.8) | ||
Regular dental clinic visits | ||||||||
No | 4,756 | (90.4) | 541 | (11.4) | 4,215 | (88.6) | 0.000 | |
Yes | 503 | (9.6) | 84 | (16.7) | 419 | (83.3) | ||
Regional level | ||||||||
Factor I (degree of urbanisation) | ||||||||
highest | 1,255 | (23.9) | 158 | (12.6) | 1,097 | (87.4) | 0.024 | |
high | 1,562 | (29.7) | 190 | (12.2) | 1,372 | (87.8) | ||
middle | 1,184 | (22.5) | 155 | (13.1) | 1,029 | (86.9) | ||
low | 731 | (13.9) | 81 | (11.1) | 650 | (88.9) | ||
lowest | 527 | (10.0) | 41 | (7.8) | 486 | (92.2) | ||
Factor II (density of services and medical facilities) | ||||||||
highest | 1,114 | (21.2) | 141 | (12.7) | 973 | (87.3) | 0.087 | |
high | 989 | (18.8) | 128 | (12.9) | 861 | (87.1) | ||
middle | 1,015 | (19.3) | 96 | (9.5) | 919 | (90.5) | ||
low | 843 | (16.0) | 108 | (12.8) | 735 | (87.2) | ||
lowest | 1,298 | (24.7) | 152 | (11.7) | 1,146 | (88.3) | ||
Factor III (dependence on manufacturing industry) | ||||||||
highest | 1,223 | (26.9) | 192 | (13.6) | 1,223 | (86.4) | 0.102 | |
high | 821 | (17.8) | 117 | (12.5) | 821 | (87.5) | ||
middle | 857 | (18.4) | 112 | (11.6) | 857 | (88.4) | ||
low | 600 | (12.8) | 73 | (10.9) | 600 | (89.2) | ||
lowest | 1,133 | (24.0) | 131 | (10.4) | 1,133 | (89.6) | ||
Factor IV (financial health of local government) | ||||||||
highest | 1,941 | (36.9) | 254 | (13.1) | 1,687 | (86.9) | 0.158 | |
high | 1,110 | (21.1) | 112 | (10.1) | 998 | (89.9) | ||
middle | 947 | (18.0) | 106 | (11.2) | 841 | (88.8) | ||
low | 633 | (12.0) | 76 | (12.0) | 557 | (88.0) | ||
lowest | 628 | (11.9) | 77 | (12.3) | 551 | (87.7) | ||