| Literature DB >> 25430803 |
Anastasiya Blizniuk, Masayuki Ueno1, Sayaka Furukawa, Yoko Kawaguchi.
Abstract
BACKGROUND: Oral health literacy has become a popular research area in the last decade; however, to date no health literacy instruments in the Russian language exist. The objectives of this study were to develop a Russian version of the Oral Health Literacy Instrument (OHLI) and to examine its reliability and validity.Entities:
Mesh:
Year: 2014 PMID: 25430803 PMCID: PMC4280741 DOI: 10.1186/1472-6831-14-141
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Oral health knowledge test
| 1 | Dental decay is caused by the bacteria of the oral cavity | true | false | don’t know |
| 2 | Sweet food and drinks have positive effect on the teeth | true | false | don’t know |
| 3 | Use of fluoride makes the teeth stronger | true | false | don’t know |
| 4 | Sealants are dark spots on the teeth | true | false | don’t know |
| 5 | Dental plaque causes periodontal diseases | true | false | don’t know |
| 6 | There is no relationship between periodontal diseases and diabetes | true | false | don’t know |
| 7 | It is necessary to use a dental floss every day to clean between the teeth | true | false | don’t know |
| 8 | The teeth should be brushed at least twice a day | true | false | don’t know |
| 9 | Cancer cannot appear in the oral cavity | true | false | don’t know |
| 10 | Visiting a dentist once a year helps to preserve oral health | true | false | don’t know |
Sample characteristics of the study subjects
|
| |
|---|---|
| Age, years | |
| Mean age (SD) | 33.1 (12.2) |
| Gender, % ( | |
| Male | 35.4% (101) |
| Female | 64.1% (180) |
| Education level, % ( | |
| High school or less | 75.4% (212) |
| University or higher | 24.6% (69) |
| Regularity of dental visits, % ( | |
| Non-regular (less than once a year) | 48.4% (136) |
| Regular (once a year or more) | 51.6% (145) |
Mean (±SD) oral health knowledge and R-OHLI scores by socio-demographic and health behavioral characteristics
|
| Oral health knowledge test (10 items) | R-OHLI reading comprehension section (38 items) | R-OHLI numeracy section (19 items) | R-OHLI total (57 items) | ||
|---|---|---|---|---|---|---|
| Gender | Male | 101 | 59.8 ± 17.2 | 37.3 ± 8.3 | 36.3 ± 9.2 | 73.6 ± 15.4 |
| Female | 180 | 66.1 ± 16.3 | 40.6 ± 6.7 | 38.7 ± 8.4 | 79.3 ± 13.6 | |
|
| <0.01 | <0.01 | <0.05 | <0.01 | ||
| Education | High school | 212 | 61.1 ± 16.3 | 38.5 ± 7.8 | 36.7 ± 9.2 | 75.2 ± 15.1 |
| University | 69 | 72.0 ± 15.6 | 42.4 ± 5.6 | 41.1 ± 6.3 | 83.5 ± 10.0 | |
|
| <0.001 | <0.001 | <0.001 | <0.001 | ||
| Regularity of dental visits | Non-regular | 136 | 59.8 ± 16.3 | 38.4 ± 7.2 | 36.7 ± 9.0 | 75.1 ± 14.8 |
| Regular | 145 | 76.6 ± 16.6 | 40.4 ± 7.4 | 38.9 ± 8.5 | 79.3 ± 14.0 | |
|
| <0.001 | <0.05 | <0.05 | <0.05 |
Figure 1Histogram of the distribution of the R-OHLI scores.
Pearson’s correlation coefficients (CC) between R-OHLI and oral health knowledge test
| CC
|
| |
|---|---|---|
| Reading comprehension section (38 items) | 0.401 | <0.001 |
| Numeracy section (19 items) | 0.258 | <0.001 |
| Total R-OHLI (57 items) | 0.363 | <0.001 |
Multiple linear regression results of the R-OHLI scores
| Model 1 | Model 2 | |||||
|---|---|---|---|---|---|---|
| S.E. | Beta |
| S.E. | Beta |
| |
| Age | 0.1 | 0.0 | 0.980 | 0.1 | -0.0 | 0.970 |
| Gender | 1.8 | 0.2 | 0.008 | 1.8 | 0.1 | 0.036 |
| Education | 1.9 | 0.2 | 0.000 | 1.9 | 0.2 | 0.008 |
| Regularity of dental visits | 1.7 | 0.1 | 0.157 | 1.7 | 0.0 | 0.558 |
| Oral health knowledge | - | - | - | 0.1 | 0.3 | 0.000 |