| Literature DB >> 28890618 |
Satish Maran1, N D Shashikiran2, Pratibha Ahirwar3, Priyanka Maran4, Pawan Raj Kannojiya5, Babita Niranjan5.
Abstract
INTRODUCTION: Dental caries and trauma are the most common oral health problems for many decades. There is need for prevalence data to analyze the nature of the problems and to take necessary steps in improving public health. AIM ANDEntities:
Keywords: Dental caries; Dental trauma; Prevalence.
Year: 2017 PMID: 28890618 PMCID: PMC5571387 DOI: 10.5005/jp-journals-10005-1429
Source DB: PubMed Journal: Int J Clin Pediatr Dent ISSN: 0974-7052
Table 1: Association between various factors and caries
| Residing area | Urban | 785 (65.19) | 317 (26.32) | 1102 (91.52) | 24.9 | <0.0001 | |||||||
| Rural | 96 (7.97) | 6 (0.49) | 102 (8.47) | ||||||||||
| Gender | Male | 499 (41.44) | 198 (16.44) | 697 (57.89) | 2.106 | 0.147 | |||||||
| Female | 382 (31.72) | 125 (10.38) | 507 (42.10) | ||||||||||
| Age | 6 | 84 (6.97) | 48 (3.98) | 132 | 40.879 | <0.0001 | |||||||
| 7 | 200 (16.61) | 54 (4.48) | 254 | ||||||||||
| 8 | 198 (17.442) | 77 (6.39) | 275 | ||||||||||
| 9 | 186 (15.441) | 36 (2.99) | 222 | ||||||||||
| 10 | 99 (8.223) | 42 (3.48) | 141 | ||||||||||
| 11 | 60 (4.98) | 48 (3.98) | 108 | ||||||||||
| 12 | 54 (4.48) | 18 (1.49) | 72 | ||||||||||
| Type of school | Private | 462 (38.37) | 234 (19.43) | 696 (57.80) | 38.782 | <0.0001 | |||||||
| Government | 419 (34.80) | 89 (7.39) | 508 (42.19) | ||||||||||
Table 2: Association between various factors and traumatic dental injuries
| Gender | Male | 48 (33.4) | 66 (45.8) | 30 (20.8) | 144 | 20.6 | <0.0001 | ||||||||
| Female | 66 (61.2) | 36 (33.3) | 6 (5.5) | 108 | |||||||||||
| Residing area | Urban | 102 (44.7) | 90 (39.4) | 36 (15.7) | 228 | 4.52 | 0.105 | ||||||||
| Rural | 12 (50) | 12 (50) | 0 | 24 | |||||||||||
| Type of school | Government | 72 (44.4) | 66 (40.7) | 24 (14.8) | 162 | 0.442 | 0.802 | ||||||||
| Private | 42 (45.6) | 36 (39.1) | 12 (11.0%) | 92 | |||||||||||
| Age | 6 | 12 (100) | 0 | 0 | 12 | 95.1 | <0.0001 | ||||||||
| 7 | 24 (33.3) | 6 (16.6) | 6 (16.6) | 36 | |||||||||||
| 8 | 24 (33.3) | 48 (66.6) | 0 | 72 (28.8) | |||||||||||
| 9 | 0 | 6 (33.3) | 12 (66.6) | 18 | |||||||||||
| 10 | 18 (40.9) | 18 (40.9) | 6 (13.6) | 44 | |||||||||||
| 11 | 24 (50) | 18 (37.5) | 6 (12.5) | 48 | |||||||||||
| 12 | 12 (50) | 6 (25) | 6 (25) | 24 | |||||||||||
Table 3: The DMFT score in the sample population
| Type of school | Government | 696 | 2.3621 ± 1.64853 | ||||
| Private | 508 | 2.3720 ± 1.59306 | |||||
| Area of residence | Urban | 1102 | 2.2695 ± 1.58127 | ||||
| Rural | 102 | 3.4118 ± 1.72548 | |||||
| Gender | Male | 697 | 2.1722 ± 1.51494 | ||||
| Female | 507 | 2.6331 ± 1.73077 | |||||
Table 4: Association between various factors and DMFT score
| Gender | 4.907 | <0.0001 | |||
| Residing area | –6.924 | <0.0001 | |||
| Type of school | –0.105 | 0.916 |
Table 5: Mean DMFT score in different age groups
| 6 | 132 | 2.1364 ± 2.03696 | |||
| 7 | 254 | 2.7598 ± 1.77861 | |||
| 8 | 275 | 2.4436 ± 1.37479 | |||
| 9 | 222 | 2.8378 ± 1.46476 | |||
| 10 | 141 | 1.9574 ± 1.29213 | |||
| 11 | 108 | 1.5000 ± 1.46931 | |||
| 12 | 72 | 1.7500 ± 1.43154 | |||
| Total | 1204 | 2.3663 ± 1.62469 |
Table 6: Correlation between age and DMFT score
| Between groups | 229.292 | 38.215 | <0.0001 | ||||
| Within groups | 2946.179 | 2.461 | |||||
| Total | 3175.471 |