| Literature DB >> 35052294 |
Adrián Curto1, Alberto Albaladejo2, Alfonso Alvarado-Lorenzo2.
Abstract
Oral-health-related quality of life (OHRQoL) is defined as the impact of oral health on activities of daily living. Malocclusions are a public health problem with a high prevalence. Different studies have concluded that malocclusions negatively affect OHRQoL in patients of all ages. The aim of this study was to analyze the influence of having an anterior open bite on the OHRQoL of adult patients.Entities:
Keywords: anterior open bite; malocclusion; oral health; oral-health-related quality of life; orthodontics
Year: 2022 PMID: 35052294 PMCID: PMC8775571 DOI: 10.3390/healthcare10010129
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Figure 1Flow chart with the study design.
Sociodemographic characteristics of anterior open bite patients and controls (n = 80).
| Descriptors | Statistical Hypothesis Test | |||||
|---|---|---|---|---|---|---|
| Total Sample ( | Anterior Open Bite Group (AOB-G) ( | Control Group (CG) ( | Value | |||
|
|
| 57.5% (46) | 60.0% (24) | 55.0% (22) | Chi2 = 0.20 NS | 0.651 |
|
| 42.5% (34) | 40.0% (16) | 45.0% (18) | |||
|
|
| 30.4 (±7.02) | 30.6 (±7.61) | 30.3 (±6.47) | T = 0.17 NS | 0.862 |
NS = Not significant at 5% (p > 0.05).
Differences in the domains of the OHIP-14 questionnaire by group (n = 80).
| Domains | Mean (Standard Deviation) | Statistical Hypothesis Test | Effect Size: R2 | ||
|---|---|---|---|---|---|
| Anterior Open Bite Group (AOB-G) ( | Control Group (CG) ( | Value/ZU/ | |||
|
| 1.25 (0.38) | 1.16 (0.31) | 1.17 NS | 0.242 | 0.016 |
|
| 1.18 (0.24) | 1.18 (0.29) | 0.31 NS | 0.759 | 0.000 |
|
| 1.20 (0.35) | 1.18 (0.27) | 0.16 NS | 0.876 | 0.002 |
|
| 0.34 (0.46) | 0.26 (0.34) | 0.41 NS | 0.680 | 0.009 |
|
| 1.69 (0.60) | 1.45 (0.46) | 1.83 NS | 0.067 | 0.048 |
|
| 0.15 (0.28) | 0.16 (0.31) | 0.06 NS | 0.949 | 0.000 |
|
| 0.15 (0.28) | 0.20 (0.30) | 0.91 NS | 0.361 | 0.008 |
|
| 5.96 (0.54) | 5.59 (0.32) | 1.05 NS | 0.250 | 0.014 |
NS = Not significant (p > 0.10).
Differences in the domains of the OHIP-14 questionnaire by gender (n = 80).
| Domains | Mean (Standard Deviation) | Statistical Hypothesis Test | Effect Size: R2 | ||
|---|---|---|---|---|---|
| Men ( | Women ( | Value /ZU / | |||
|
| 1.21 (0.37) | 1.21 (0.33) | 0.24 NS | 0.806 | 0.000 |
|
| 1.16 (0.27) | 1.18 (0.27) | 0.46 NS | 0.642 | 0.002 |
|
| 1.24 (0.35) | 1.15 (0.28) | 1.02 NS | 0.309 | 0.018 |
|
| 0.28 (0.39) | 0.32 (0.41) | 0.35 NS | 0.726 | 0.002 |
|
| 1.59 (0.53) | 1.55 (0.56) | 0.40 NS | 0.690 | 0.001 |
|
| 0.10 (0.21) | 0.20 (0.34) | 1.00 NS | 0.318 | 0.025 |
|
| 0.09 (0.19) | 0.24 (0.33) | 2.19 * | 0.029 | 0.068 |
|
| 5.67 (0.17) | 5.85 (0.25) | 1.16 NS | 0.262 | 0.010 |
NS = Not significant (p > 0.05); * = Significant (p < 0.05).
Differences in the domains of the OHIP-14 questionnaire as a function of age (n = 80).
| Domains | Mean (Standard Deviation) | Statistical Hypothesis Test | Effect Size: R2 | |||
|---|---|---|---|---|---|---|
| 18–25 Years (G1) ( | 26–35 Years (G2) ( | 36–50 Years (G3) ( | Value/ZU/ | |||
|
| 1.20 (0.29) | 1.26 (0.40) | 1.11 (0.27) | 2.74 NS | 0.254 | 0.034 |
|
| 1.17 (0.29) | 1.17 (0.24) | 1.18 (0.30) | 0.03 NS | 0.984 | 0.000 |
|
| 1.15 (0.28) | 1.16 (0.29) | 1.29 (0.38) | 2.14 NS | 0.342 | 0.034 |
|
| 0.41 (0.47) | 0.29 (0.40) | 0.18 (0.30) | 2.78 NS | 0.249 | 0.043 |
|
| 1.50 (0.34) | 1.62 (0.62) | 1.55 (0.60) | 0.20 NS | 0.904 | 0.009 |
|
| 0.15 (0.32) | 0.14 (0.31) | 0.18 (0.25) | 1.18 NS | 0.554 | 0.003 |
|
| 0.20 (0.33) | 0.18 (0.29) | 0.13 (0.23) | 0.29 NS | 0.866 | 0.007 |
|
| 5.78 (0.24) | 5.82 (0.38) | 5.62 (0.21) | 1.15 NS | 0.624 | 0.002 |
NS = Not significant (p > 0.05).