| Literature DB >> 32002383 |
K Priya Deepa Lakshmi1, M B Aswath Narayanan2, S G Ramesh Kumar2, A Leena Selvamary2, A Sujatha2.
Abstract
BACKGROUND: Tooth fracture is not only a distressing experience on the physical level of a child, but it may also have an effect on emotional and psychological levels. This study aims to assess the permanent anterior teeth fractures and their impact on Oral Health-Related Quality of Life (OHRQoL) among 8-15-year-old schoolchildren of Chennai city.Entities:
Keywords: Oral health; quality of life; school children; tooth fractures
Year: 2020 PMID: 32002383 PMCID: PMC6967343 DOI: 10.4103/ijabmr.IJABMR_346_18
Source DB: PubMed Journal: Int J Appl Basic Med Res ISSN: 2229-516X
Distribution of the study participants according to sociodemographic characteristics (n=628)
| Demographic data | Study participant, |
|---|---|
| Gender | |
| Boys | 490 (78) |
| Girls | 138 (22) |
| Age (years), mean±SD | 12.32±1.8 |
| 8 | 17 (2.7) |
| 9 | 33 (5.3) |
| 10 | 68 (10.8) |
| 11 | 94 (15) |
| 12 | 93 (14.8) |
| 13 | 119 (18.9) |
| 14 | 133 (21.2) |
| 15 | 71 (11.3) |
| Religion | |
| Hindu | 494 (78.7) |
| Muslim | 107 (17) |
| Christian | 27 (4.3) |
| Socioeconomic status: Modified Kuppuswamy’s socioeconomic status scale (updated income parameter April 2016) | |
| Upper | 1 (0.2) |
| Upper middle | 15 (2.4) |
| lower middle | 70 (11.1) |
| Upper lower | 494 (78.7) |
| Lower | 48 (7.6) |
| Type of school | |
| Corporation | 259 (41.2) |
| Government aided | 229 (36.5) |
| Private | 140 (22.3) |
SD: Standard deviation
Comparison of variables of tooth fracture between school types using Kruskal-Wallis test
| Variables | Type of school | Mean±SD | ||
|---|---|---|---|---|
| DMFT | Corporation | 1.88±2.2 | 42.614 | <0.001* |
| Government aided | 1.45±2.1 | |||
| Private | 0.61±1.1 | |||
| Diastema (mm) | Corporation | 0.822±1.09 | 27.922 | <0.001* |
| Government aided | 0.415±0.87 | |||
| Private | 0.4±0.85 | |||
| Anterior maxillary irregularity (mm) | Corporation | 1.58±1.30 | 10.335 | 0.006 |
| Government aided | 1.45±1.32 | |||
| Private | 1.2±1.51 | |||
| Anterior mandibular irregularity (mm) | Corporation | 1.67±1.56 | 4.407 | 0.110 |
| Government aided | 1.56±1.43 | |||
| Private | 1.44±1.81 | |||
| Anterior maxillary overjet (mm) | Corporation | 3.876±1.87 | 16.657 | <0.001* |
| Government aided | 4.21±2.00 | |||
| Private | 4.47±1.62 | |||
| Anterior mandibular overjet (mm) | Corporation | 0.01±0.24 | 1.454 | 0.483 |
| Government aided | 0±0 | |||
| Private | 0.02±0.25 | |||
| Vertical anterior open bite (mm) | Corporation | 0.03±0.36 | 1.173 | 0.556 |
| Government aided | 0.03±0.38 | |||
| Private | 0±0 |
*P≤0.001 highly significant. SD: Standard deviation; DMFT: Decayed, Missing, and Filled Teeth
Influence of tooth fracture between school types with overall child oral health impact profile scores and its domain
| Variables | Corp, | Government aided, | Private, | Total, | ||
|---|---|---|---|---|---|---|
| OHRQoL well-being | ||||||
| Positive | 83 (32) | 116 (50.7) | 88 (62.9) | 287 (45.7) | 38.33 | <0.001** |
| Negative | 176 (68) | 113 (49.3) | 52 (37.1) | 341 (54.3) | ||
| Oral health well-being | ||||||
| Positive | 82 (31.7) | 119 (52) | 93 (66.4) | 294 (46.8) | 47.96 | <0.001** |
| Negative | 177 (68.3) | 110 (48) | 47 (33.6) | 334 (53.2) | ||
| Functional well-being | ||||||
| Positive | 0 | 0 | 0 | 0 | - | - |
| Negative | 259 (100) | 229 (100) | 140 (100) | 628 (100) | ||
| Social/emotional well-being | ||||||
| Positive | 0 | 0 | 0 | 0 | - | - |
| Negative | 259 (100) | 229 (100) | 140 (100) | 628 (100) | ||
| School environment | ||||||
| Positive | 0 | 0 | 0 | 0 | - | - |
| Negative | 259 (100) | 229 (100) | 140 (100) | 628 (100) | ||
| Self-image | ||||||
| Positive | 113 (43.6) | 106 (46.3) | 82 (58.6) | 301 (47.9) | 8.519 | 0.014* |
| Negative | 146 (56.4) | 123 (53.7) | 58 (41.4) | 327 (52.1) |
*P≤0.05; **P≤0.001 highly significant. OHRQoL: Oral Health-Related Quality of Life
Analysis of comparison of age, oral health well-being, functional well-being, social/emotional well-being, and total Child Oral Health Impact Profile scores by analysis of variances test and multiple pair-wise comparison
| Dependent variable | ANOVA ( | Multiple pair-wise comparison by Tukey HSD | ||
|---|---|---|---|---|
| Type of school | Mean difference | |||
| Age (years) | <0.001** | Corporation | ||
| Government aided | 0.017 | 0.994 | ||
| Private | 0.806* | <0.001** | ||
| Government aided | ||||
| Private | 0.789* | <0.001** | ||
| Oral health well-being | <0.001** | Corporation | ||
| Government aided | −0.927* | <0.001** | ||
| Private | −1.432* | <0.001** | ||
| Government aided | ||||
| Private | −0.506* | 0.045* | ||
| Functional well-bein | <0.001** | Corporation | ||
| Government aided | −1.793* | 0.027* | ||
| Private | −3.782* | <0.001** | ||
| Government aided | ||||
| Private | −1.989* | 0.042* | ||
| Social/emotional well-being | 0.049* | Corporation | ||
| Government aided | −1.129 | 0.594 | ||
| Private | −3.295* | 0.038* | ||
| Government aided | ||||
| Private | −2.165 | 0.256 | ||
| COHIP score | <0.001** | Corporation | ||
| Government aided | −3.942 | 0.071 | ||
| Private | −8.928* | <0.001** | ||
| Government aided | ||||
| Private | −4.985* | 0.049* | ||
*The mean difference is significant at the 0.05 level; **P≤0.001 highly significant. ANOVA: Analysis of variance; COHIP: Child Oral Health Impact Profile; HSD: Honestly significant difference