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Original Article
- Dental implant removal rates and related factors in older adults in Korea: a cross-sectional study using National Health Insurance Sharing Service database
- Hyang-Ah Park, A-Rang Lim, Jae-In Ryu
- Epidemiol Health. 2025;47:e2025064. Published online December 3, 2025
- DOI: https://doi.org/10.4178/epih.e2025064
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- 1 Crossref
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Abstract
Summary
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AbstractOBJECTIVES
Dental implants have been covered by the National Health Insurance for older adults in Korea since 2014. As the number of implant treatments has increased, the occurrence of related complications has also grown. While many clinical studies have examined mechanical and biological complications, few epidemiological studies using national data have identified population-level risk factors. This study aimed to determine the dental implant removal rate and related factors among older adults based on the Andersen Behavioral Model.METHODSA cross-sectional analysis was conducted using the National Health Insurance Service–National Sample Cohort. Logistic regression analyses were performed to identify factors associated with implant removal. Unadjusted and stepwise cumulative models were applied for predisposing, enabling, and need factors. All analyses were conducted using SPSS version 26.0, with statistical significance set at α=0.05.RESULTSThe overall dental implant removal rate among older adults was approximately 0.4%. Higher removal rates were observed among males, those aged 65-69, current smokers, individuals with diabetes, and the self-employed group with higher income levels. Current smokers had 1.75 times higher odds of implant removal (95% confidence interval, 1.39 to 2.22) than non- smokers or former smokers.CONCLUSIONSTargeted education, management, and preventive interventions for high-risk groups, including smokers and patients with diabetes, are necessary to improve implant success and reduce complications. These findings provide population- based evidence to inform public health strategies that promote successful implant outcomes among older adults. -
SummaryKorean summary
이 연구는 국가 단위의 빅데이터 코호트를 이용해 치과 임플란트 제거에 관해 시행한 선행 연구가 없었기 때문에 국가 빅데이터를 활용해 치과 임플란트 제거율과 관련 요인을 파악하기 위해 Anderson Model을 기반으로 다요인 분석을 실시하였다. 전체 치과 임플란트 제거율은 약 0.4%였으며, 남성, 젊은 연령, 건강보험 가입자, 상위 소득분위 자영업자, 당뇨병, 흡연, 유산소 신체 활동 실천자에서 더 높게 나타났다. 특히 현재 흡연자인 경우 치과 임플란트 제거율을 경험할 확률이 1.8배 높았다. 따라서, 치과 임플란트 시술의 성공률을 높이기 위해서는 위험요인에 대해 명시한 가이드라인 제작이 필수적이다.Key Message
This study conducted a multifactorial analysis based on the Andersen model to identify factors associated with dental implant removal using national big data, addressing the lack of prior studies that examined these determinants sufficiently. The dental implant removal rate among all subjects was approximately 0.4%, and higher removal rates were observed among men, younger individuals, those receiving medical benefits, the self-employed group with higher income quintiles, and individuals with diabetes, smoking habits, or engagement in aerobic physical activity. Current smokers had a 1.8-fold higher probability of implant removal. These findings reinforce the importance of developing and implementing guidelines to increase the success rate of dental implants. -
Citations
Citations to this article as recorded by
- Management of a Symptomatic Maxillary Implant Adjacent to the Schneiderian Membrane Using Cone Beam Computed Tomography (CBCT)-Guided Explantation and Reimplantation: A Case Report
Keily J Portillo Avila, Richard M Cavero, Ana M Moreno Marin, Yaniet E Lorenzo Rivero, Marilyn Gomez Rodriguez
Cureus.2026;[Epub] CrossRef
- Management of a Symptomatic Maxillary Implant Adjacent to the Schneiderian Membrane Using Cone Beam Computed Tomography (CBCT)-Guided Explantation and Reimplantation: A Case Report
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