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Table 1 Statistical significance by demographic variables for dental caries, calculus and gingival bleeding among 12–15-year-old students (n = 3868). N (%)

From: Oral health and caries/gingivitis-associated factors of adolescents aged 12–15 in Shandong province, China: a cross-sectional Oral Health Survey

Variables

Dental caries

Calculus

Gingival bleeding

Absence

Presence

P value

Absence

Presence

P value

Absence

Presence

P value

Total

2326 (60.1%)

1542 (39.9%)

 

708 (18.3%)

3160 (81.7%)

 

2656 (68.7%)

1212 (31.3%)

 

Age group

 12 years

589 (62.7%)a

351 (37.3%)a

0.041

225 (23.9%)a

715 (76.1%)a

< 0.001

666 (70.9%)a

274 (29.1%)a

0.01

 13 years

582 (59.2%)a,b

401 (40.8%)a,b

 

175 (17.8%)b

808 (82.2%)b

 

666 (67.8%)a,b

317 (32.2%)a,b

 

 14 years

597 (61.9%)a

368 (38.1%)a

 

178 (18.4%)b

787 (81.6%)b

 

687 (71.2%)a

278 (28.8%)a

 

 15 years

558 (56.9%)b

422 (43.1%)b

 

130 (13.3%)c

850 (86.7%)c

 

637 (65.0%)b

343 (35.0%)b

 

Gender

 Male

1300 (66.9%)a

642 (33.1%)a

< 0.001

281 (14.5%)a

1661 (85.5%)a

< 0.001

1313 (67.6%)

629 (32.4%)

0.155

 Female

1026 (53.3%)b

900 (46.7%)b

 

427 (22.2%)b

1499 (77.8%)b

 

1343 (69.7%)

583 (30.3%)

 

Urban and rural

 Urban

1145 (59.2%)

790 (40.8%)

0.222

380 (19.6%)a

1555 (80.4%)a

0.032

1270 (65.6%)a

665 (34.4%)a

< 0.001

 Rural

1181 (61.1%)

752 (38.9%)

 

328 (17.0%)b

1605 (83.0%)b

 

1386 (71.7%)b

547 (28.3%)b

 

Region

 Shouguang Weifang

540 (56.4%)a

418 (43.6%)a

< 0.001

187 (19.5%)a

771 (80.5%)a

0.001

665 (69.4%)a

293 (30.6%)a

< 0.001

 Huancui, Weihai

550 (58.0%)a

399 (42.0%)a

 

168 (17.7%)a

781 (82.3%)a

 

588 (62.0%)b

361 (38.0%)b

 

 Hedong, Linyi

595 (60.3%)a,b

391 (39.7%)a,b

 

212 (21.5%)b

774 (78.5%)b

 

682 (69.2%)a

304 (30.8%)a

 

 Pingyi, Linyi

641 (65.7%)b

334 (34.3%)b

 

141 (14.5%)c

834 (85.5%)c

 

721 (73.9%)c

254 (26.1%)c

 

An only child or not?

 Yes

913 (62.7%)a

542 (37.3%)a

0.01

274 (18.8%)

1181 (81.2%)

0.51

997 (68.5%)

458 (31.5%)

0.881

 No

1413 (58.6%)b

1000 (41.4%)b

 

434 (18.0%)

1979 (82.0%)

 

1659 (68.8%)

754 (31.2%)

 

Father's education level

 Never go to school

10 (62.5%)

6 (37.5%)

0.286

3 (18.8%)

13 (81.3%)

0.712

9 (56.3%)

7 (43.8%)

0.274

 Elementary or junior high school

1476 (61.3%)

932 (38.7%)

 

425 (17.6%)

1983 (82.4%)

 

1646 (68.4%)

762 (31.6%)

 

 High school

318 (56.6%)

244 (43.4%)

 

112 (19.9%)

450 (80.1%)

 

374 (66.5%)

188 (33.5%)

 

 College or university

349 (59.9%)

234 (40.1%)

 

109 (18.7%)

474 (81.3%)

 

418 (71.7%)

165 (28.3%)

 

 No father or do not know

173 (57.9%)

126 (42.1%)

 

59 (19.7%)

240 (80.3%)

 

209 (69.9%)

90 (30.1%)

 

Mother’s education level

 Never go to school

103 (68.7%)a

47 (31.3%)a

0.005

29 (19.3%)

121 (80.7%)

0.519

103 (68.7%)

47 (31.3%)

0.255

 Elementary or junior high school

1545 (61.2%)b

978 (38.8%)b

 

446 (17.7%)

2077 (82.3%)

 

1728 (68.5%)

795 (31.5%)

 

 High school

197 (53%)c

175 (47%)c

 

74 (19.9%)

298 (80.1%)

 

247 (66.4%)

125 (33.6%)

 

 College or university

290 (59.1%)c

201 (40.9%)c

 

101 (20.6%)

390 (79.4%)

 

357 (72.7%)

134 (27.3%)

 

 No mother or do not know

191 (57.5%)b,c

141 (42.5%)b,c

 

58 (17.5%)

274 (82.5%)

 

221 (66.6%)

111 (33.4%)

 
  1. a,b,cDifferences between the row variables, the same mark represents no difference between the two variables