Original Article

The Association between Dental Implant Treatment Experience and Socioeconomic Factors in Korean Adults: A Cross-Sectional Survey Data Analysis

Abstract

Background: We examined the Korean adults’ experience with dental implants and analyzed its association with various socioeconomic factors.

Methods: This study was based on the participants enrolled in the 2013-2015 KNHANES. Using the variables associated with dental implant treatment experience and other socioeconomic factors, we evaluated the statistical significance and potential associations between the dental implant treatment experience and its related factors. The final analysis in this study was performed on adults aged 20 yr and over. It comprised 4,893 subjects in the year 2013, 4,431 subjects in 2014, and 4,430 subjects in 2015.

Results: An increasing number of individuals had reported undergoing dental implant treatment. An older age was associated with a higher likelihood of undergoing dental implant treatment, particularly in adults aged ≥40 years. Additionally, the likelihood was higher in individuals with a greater income level, low-level of educational background, and married status. Factors that were observed to influence dental implant treatment experience included age, education level, income level, marital status.

Conclusion: Our analysis confirmed the growing accessibility to dental implants among Korean adults and an association between dental implant treatment experience and socioeconomic factors. We recommend a healthcare policy on dental implants that considers relevant socioeconomic factors, in order to provide dental implant treatment to individuals who are in absolute need of treatment.

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IssueVol 51 No 2 (2022) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/ijph.v51i2.8684
Keywords
Dental implant Socioeconomic factors South Korea

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How to Cite
1.
Choi J-S, Shin B-M, Park D-Y, Park G-Y, Choi Y-K. The Association between Dental Implant Treatment Experience and Socioeconomic Factors in Korean Adults: A Cross-Sectional Survey Data Analysis. Iran J Public Health. 2022;51(2):318-326.