⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

August 10, 2026Epidemiology and HealthOpen Access

A non-clinical risk model for periodontitis derived from a national health examination survey: development and external validation

Seon‐Jip Kim Min-Joo Shin Hyun‐Jae Cho

View Full Paper

Ask AI

Bookmark

Share

Key Points

To develop and validate a non-clinical risk model for identifying periodontitis risk based on a national health survey.
Developed a risk model using data from a national health examination survey.
Conducted external validation to assess the model's effectiveness.
The model effectively identified key risk factors associated with periodontitis.
External validation confirmed the model's accuracy in predicting risk among different populations.

Implication

Non-clinical model identifies periodontitis risk factors in a national population, suggesting opportunities for prevention.

Abstract

Prevention Agency, and all participants provided written informed consent when they participated in the original survey.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/6a7d76312b0e0cff3f63f553 https://doi.org/10.4178/epih.e2026040

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1External Validation of Periodontal Screening Using Self-Reports in Dental Settings2025 · 1 citations
2External Validation of Periodontal Screening Using Self-Reports in Dental Settings2025
3Development and validation of a nomogram for assessing the risk of periodontitis in youth: a cross-sectional studyCross-Sectional Study · 2026
4Self-reported Measures for Surveillance of PeriodontitisDiagnostic Study · 2013 · 225 citations
5Validation of a self-report questionnaire for periodontitis in a Japanese populationDiagnostic Study · 2021 · 19 citations

More related papers

Prevalence of self‐reported severe periodontitis: Data from the population‐based <scp>CONSTANCES</scp> cohort2024
Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies2025
Development of a nomogram for identifying periodontitis cases in Denmark2024

More from Epidemiology and Health

ata resource profile: the Korea National Health Insurance Medical Expenditure SurveyTue,
Short-term and long-term ambient NO2 exposure, dietary effect modification, and incident cardiovascular disease in rural Japan: a population-based cohort studyWed,