Table 2 Baseline characteristics and KAP scores in parents.
Parent Questionnaire | N (%) | Knowledge | Attitude | Practice | |||
|---|---|---|---|---|---|---|---|
Mean ± SD/ M (P25, P75) | p | Mean ± SD/ M (P25, P75) | p | Mean ± SD/ M (P25, P75) | p | ||
Total | 380 | 9 (8, 9.9) | 39 (33, 46) | 31 (26, 38) | |||
Age | 0.373 | 0.639 | 0.771 | ||||
26–30 | 48(12.63) | 8 (6, 9) | 31 (28, 39.75) | 25.81 ± 9.90 | |||
31–40 | 124(32.63) | 8 (5.25, 9) | 33 (29, 38) | 26.33 ± 8.26 | |||
41–50 | 133(35.00) | 8 (6, 9) | 33 (28, 39) | 25.20 ± 7.82 | |||
> 50 | 75(19.74) | 8 (4, 9) | 34 (27, 44) | 25.72 ± 9.48 | |||
Gender | 0.960 | 0.566 | 0.401 | ||||
Male | 164(43.16) | 8 (6, 9) | 32 (27, 39) | 25 (21, 30) | |||
Female | 216(56.84) | 8 (5, 9) | 33 (29, 39) | 26 (21, 31.75) | |||
Relationship to the child | 0.090 | 0.252 | 0.002 | ||||
Parent | 333(87.63) | 8 (6, 9) | 33 (29, 39) | 26 (21, 31) | |||
Other | 47(12.37) | 8 (5, 9) | 30 (24, 42) | 19 (15, 29) | |||
Residence | 0.752 | 0.251 | 0.163 | ||||
Rural | 48(12.63) | 7 (5.25, 9) | 32 (27.5, 38.75) | 23 (21.25, 32.25) | |||
Urban | 258(67.89) | 8 (6, 9) | 34 (28, 40.25) | 26 (19.75, 30.25) | |||
Suburban | 74(19.47) | 8 (4, 9) | 31 (28.75, 36) | 28 (20.25, 33.5) | |||
Education | < 0.001 | 0.122 | 0.742 | ||||
Junior high school and below | 47(12.37) | 7 (5, 9) | 32 (27, 39) | 27 (20, 37) | |||
High school/vocational school | 77(20.26) | 7 (2.5, 9) | 31 (26.5, 39) | 25 (19, 33) | |||
College/undergraduate | 163(42.89) | 8 (6, 9) | 33 (27, 38) | 26 (19, 31) | |||
Master’s and above | 93(24.47) | 9 (8, 9) | 35 (29, 44) | 26 (21.5, 29) | |||
Occupation | 0.002 | 0.447 | 0.028 | ||||
Unit leader and professional technical staff | 170(44.74) | 9 (7, 9) | 33.5 (27, 42) | 25 (19, 29) | |||
General staff | 65(17.11) | 8 (4, 9) | 33 (30, 39) | 27 (21.5, 32.5) | |||
Service personnel and production personnel | 117(30.79) | 8 (4.5, 9) | 31 (27, 38) | 27 (20.5, 33) | |||
Other | 28(7.37) | 7 (6, 9) | 33 (31, 38.75) | 28.5 (21.25, 37.75) | |||
Monthly per capita income, CNY | < 0.001 | 0.702 | < 0.001 | ||||
< 5,000 | 94(24.74) | 6 (1, 9) | 32 (29, 37) | 28 (22, 38.25) | |||
5,000–10,000 | 148(38.95) | 8 (6, 9) | 32.5 (26, 38) | 23.5 (19, 29) | |||
> 10,000 | 138(36.32) | 9 (7.75, 9) | 35 (28.75, 43) | 26 (19, 30) | |||
Number of children in the family | 0.894 | 0.594 | 0.265 | ||||
1 | 233(61.32) | 8 (5.5, 9) | 33.31 ± 9.33 | 26 (21, 31.5) | |||
2 | 126(33.16) | 8 (6, 9) | 33.48 ± 9.07 | 26 (21, 31) | |||
≥ 3 | 21(5.53) | 8 (6.5, 9) | 31.29 ± 8.80 | 21 (17.5, 28.5) | |||
Child received orthodontic treatment | < 0.001 | 0.770 | < 0.001 | ||||
Currently underwent | 82(21.58) | 9 (8, 9) | 34.5 (25.75, 42.5) | 25 (16, 29) | |||
Completed | 68(17.89) | 8.5 (7, 9) | 32 (27, 38.75) | 23 (18, 26.75) | |||
Not received | 230(60.53) | 7 (4, 9) | 32 (29, 39) | 27 (21, 33) | |||
Ways to acquire knowledge about orthodontic treatment | < 0.001 | 0.003 | 0.091 | ||||
Doctor’s education | 174(45.79) | 9 (7.75, 9) | 36 (27, 43) | 26 (21, 29) | |||
Parents of child’s classmates sharing | 95(25.00) | 8 (4, 9) | 31 (27, 37) | 26 (18, 33) | |||
Internet (such as WeChat, TikTok, Xiaohongshu, etc.) | 111(29.21) | 7 (5, 9) | 31 (29, 36) | 27 (21, 33) | |||
