Prevalence of gingival overgrowth among patients at the periodontology clinic of Dental Hospital Universitas Airlangga

Background: The prevalence of dental and oral health problems in Indonesia, including periodontal disease and gingival overgrowth (GO), remains high and requires serious attention from health workers. This study aims to determine the prevalence of GO due to the existing data gap and public concern regarding this condition. Objectives: To determine the prevalence of gingival overgrowth among patients at the periodontology clinic of Universitas Airlangga Dental Hospital. Material and Methods: This study was conducted from August to September 2023 at the Dental and Oral Hospital (RSGM) Universitas Airlangga using a descriptive observational method with a cross-sectional design. The sample was calculated using total sampling from medical record data of patients at the Periodontics Clinic of the Dental and Oral Hospital (RSGM) Universitas Airlangga who met the inclusion criteria in 2022. The study variables included gingival overgrowth (GO), gender, age, and tooth region (sextant). Data were processed using Microsoft Excel and presented as a percentage (%). A descriptive data analysis was carried out to draw a conclusion. Conclusion: The study found that 37.11% of patients at the Dental and Oral Hospital (RSGM) of Universitas Airlangga experienced gingival overgrowth. The percentage of male patients experiencing gingival overgrowth was higher than that of women, with the highest age group being 18-24 years. The tooth area that experienced the most gingival overgrowth was sextant 5, with a total of 29 samples.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-30
DOI
https://doi.org/10.5281/zenodo.15037632
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of gingival overgrowth among patients at the periodontology clinic of Dental Hospital Universitas Airlangga

Zenodo (CERN European Organization for Nuclear Research)
Adhesion, Friction, and Surface Interactions
article

Prevalence of gingival overgrowth among patients at the periodontology clinic of Dental Hospital Universitas Airlangga

article en

Abstract

Background: The prevalence of dental and oral health problems in Indonesia, including periodontal disease and gingival overgrowth (GO), remains high and requires serious attention from health workers. This study aims to determine the prevalence of GO due to the existing data gap and public concern regarding this condition. Objectives: To determine the prevalence of gingival overgrowth among patients at the periodontology clinic of Universitas Airlangga Dental Hospital. Material and Methods: This study was conducted from August to September 2023 at the Dental and Oral Hospital (RSGM) Universitas Airlangga using a descriptive observational method with a cross-sectional design. The sample was calculated using total sampling from medical record data of patients at the Periodontics Clinic of the Dental and Oral Hospital (RSGM) Universitas Airlangga who met the inclusion criteria in 2022. The study variables included gingival overgrowth (GO), gender, age, and tooth region (sextant). Data were processed using Microsoft Excel and presented as a percentage (%). A descriptive data analysis was carried out to draw a conclusion. Conclusion: The study found that 37.11% of patients at the Dental and Oral Hospital (RSGM) of Universitas Airlangga experienced gingival overgrowth. The percentage of male patients experiencing gingival overgrowth was higher than that of women, with the highest age group being 18-24 years. The tooth area that experienced the most gingival overgrowth was sextant 5, with a total of 29 samples.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Airlangga (ID)
Reduced inequalities
Openalex Percentile: Top 63%
Adhesion, Friction, and Surface Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.