| Title |
Disparities in the experience and treatment of dental caries among children aged 9–18 years: the cross-sectional study of Korean National Health and Nutrition Examination Survey (2012–2013)
|
|---|---|
| Published in |
International Journal for Equity in Health, June 2016
|
| DOI | 10.1186/s12939-016-0377-x |
| Pubmed ID | |
| Authors |
Juyeong Kim, Young Choi, Sohee Park, Jeong Lim Kim, Tae-Hoon Lee, Kyoung Hee Cho, Eun-Cheol Park |
| Abstract |
The aim of this study is to examine the association between parental socioeconomic status (SES) and the experience as well as treatment of dental caries among children aged 9 to 18 years. Data from 1253 children aged 9-18 years from the Korean National Health and Nutrition Examination Survey (2012-2013) were analyzed. Parental socioeconomic status was measured using household income level and maternal educational level. The decayed, missing, and filled teeth (DMFT) index was used to measure experience of dental caries (DMFT ≥ 1). Non-treatment of dental caries was measured according to whether the participants who experienced dental caries used a dental service at a dental clinic to treat caries during the previous year. Logistic regression was used to investigate the association between parental socioeconomic status and the experience of dental caries as well as the association between parental socioeconomic status and the non-treatment of dental caries among children that have experienced caries. A total of 808 subjects (64.5 %) experienced dental caries among 1253 participants, and 582 of these 808 subjects (72.0 %) did not receive treatment among those having experience of dental caries. Parental socioeconomic status was not associated with experience of dental caries. However, those from low- and middle-income households were less likely to receive treatment than those from high-income households (odds ratio [OR] 2.11 [95 % confidence interval (CI) 1.16-3.86], OR 2.14 [95 % CI 1.27-3.62]). In particular, those from low- and middle-income households who had regular dental checkups were more likely to have untreated caries than those from high-income households (OR 3.58 [95 % CI 1.25-10.24]). This study demonstrates the parental household income-related disparities in children's dental health treatment. Efforts should be made to lower financial barriers to dental health services, particularly among those from low-income households, in order to reduce dental health disparities in the treatment of caries in children. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Professor | 5 | 8% |
| Professor > Associate Professor | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 38% |
| Nursing and Health Professions | 6 | 10% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Social Sciences | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 23 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2018.
All research outputs
#15,493,741
of 23,025,074 outputs
Outputs from International Journal for Equity in Health
#1,552
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Outputs of similar age
#214,095
of 341,722 outputs
Outputs of similar age from International Journal for Equity in Health
#37
of 43 outputs
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