• Journal of dental hygiene science
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• v.15 no.2
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• pp.202-208
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• 2015

The aim of this retrospective study was to evaluate the relationship between periodontal health condition and the results of a new method such as Cariview which could evaluate the acidity of dental biofilms. Fifty four subjects more than 20 years old were selected for the candidates of this study. The periodontal health conditions of the candidates were divided into 4 groups according to the assessment of X-ray and Quantitative Light-induced Fluorescence-Digital (QLF-D; Inspektor Research Systems BV) images; gingivitis, slight periodontitis, moderate periodontitis, severe periodontitis. The biofilm acidogenicity of each subject was examined using Cariview (All in ONE BIO) according to manufacturer's instruction, and the Cariview score was calculated. The mean differences of Cariview score between 4 groups of periodontal health condition were examined by ANCOVA test with the covariance of decayed, missing, and filled teeth (DMFT) index. As a result, the mean Cariview score was different, however it was not significantly different from the 4 groups (p=0.12). The mean score was the lowest in the gingivitis group ($40.54{\pm}11.01$), and the highest in slight periodontitis group ($57.26{\pm}20.51$). In conclusion, the significant mean differences were not confirmed in Cariview score according to the periodontal health condition.

• Journal of Periodontal and Implant Science
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• v.22 no.1
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• pp.206-206
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• 1992

• Journal of Periodontal and Implant Science
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• v.49 no.5
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• pp.269-269
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• 2019

• Imaging Science in Dentistry
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• v.53 no.3
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• pp.193-198
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• 2023

Purpose: Artificial intelligence (AI) is poised to play a major role in medical diagnostics. Periodontal disease is one of the most common oral diseases. The early diagnosis of periodontal disease is essential for effective treatment and a favorable prognosis. This study aimed to assess the effectiveness of AI in diagnosing periodontal bone loss through radiographic analysis. Materials and Methods: A literature search involving 5 databases (PubMed, ScienceDirect, Scopus, Health and Medical Collection, Dentistry and Oral Sciences) was carried out. A specific combination of keywords was used to obtain the articles. The PRISMA guidelines were used to filter eligible articles. The study design, sample size, type of AI software, and the results of each eligible study were analyzed. The CASP diagnostic study checklist was used to evaluate the evidence strength score. Results: Seven articles were eligible for review according to the PRISMA guidelines. Out of the 7 eligible studies, 4 had strong CASP evidence strength scores (7-8/9). The remaining studies had intermediate CASP evidence strength scores (3.5-6.5/9). The highest area under the curve among the reported studies was 94%, the highest F1 score was 91%, and the highest specificity and sensitivity were 98.1% and 94%, respectively. Conclusion: AI-based detection of periodontal bone loss using radiographs is an efficient method. However, more clinical studies need to be conducted before this method is introduced into routine dental practice.

• Journal of Periodontal and Implant Science
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• v.42 no.6
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• pp.212-216
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• 2012

Purpose: The aim of this study was to evaluate the relationship between maternal periodontal disease and the health status of newborns using Apgar scores. Methods: One hundred pregnant women with periodontal disease were included in the case series and 100 pregnant women without periodontal disease were placed in the control group, respectively. The periodontal parameters of bleeding on probing (BOP), clinical attachment loss (CAL), probing depth (PD), birth weight, and Apgar scores were recorded in both groups. T-tests and Pearson's correlation coefficient were used to determine the birth weight odds ratio to analyze the relationship between the periodontal parameters of BOP, CAL, and PD on the one hand and an Apgar score of less than 7. An unpaired Student's t-test was used to analyze differences in means between the case and control groups using SPSS ver. 13. Results: The means of the ages, periodontal pocket depths, attachment loss, areas with BOP, Apgar score in the first 5 minutes and infant birth weight exhibited statistically significant differences between the case and control groups. The ratio of an Apgar score of <7 to periodontal disease was 3.14; the ratio of low birth weight risk in mothers with periodontal disease to that in mothers without periodontal disease was 2.74. Pearson's correlation coefficient revealed a significant correlation between the infant birth weight and BOP, CAL, and PD of the mother. In addition, there was a significant correlation between the Apgar score and BOP, CAL, and PD and also between the Apgar score and infant birth weight. Conclusions: The results of this study showed a significant relationship between periodontal disease and infant birth weight; in addition, there was a significant relationship between the periodontal indexes of BOP, CAL, and PD on the one hand and the Apgar score on the other.

• Journal of Korean society of Dental Hygiene
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• v.20 no.1
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• pp.29-39
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• 2020

Objectives: This study was to examine the association of sugar-containing snacking habits with dental caries and periodontal diseases. Methods: This study was conducted on 2,807 adults who answered both oral examination and food intake frequency survey in the data of 2015 Korea National Health and Nutrition Examination Survey. The intake frequency of sugary snacks was selected from 17 kind of snacks, which had high sugar content and could affect oral disease. We used the complex sample logistic regression using SPSS 23.0 confirmed the correlation of sugary snack intake frequency and oral diseases. Results: 16.9% of all adults had a sugary snack at least three times a day. 20.7% of dental caries patients and 25.8% of people with periodontal diseases consumed sugary snacks more than three times a day. Especially, periodontal diseases were 1.51 times higher(p=0.008) in three or more consuming snacks group than that who ingested sugary snacks less than six times a week, by correcting the general characteristics and oral health behaviors. Conclusions: Oral health in adults affects oral health in old age, so from a public health perspective, integrated intervention is required to manage the self-cultivation health and to create correct eating habits.

• Journal of Korean society of Dental Hygiene
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• v.15 no.6
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• pp.947-961
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• 2015

Objectives: The purpose of the study was to identify the relationship between metabolic syndrome and oral diseases in the middle aged and elderly in Korea. Methods: The study subjects were 6,390 people over 40 years old from 2010 and 2012 Korea National Health and Nutrition Examination Survey. The survey questionnaire consisted of health, nutrition, and oral examination surveys. The independent variables included general characteristics, health behavior, oral health behavior, and metabolic syndrome. The dependent variables included dental caries experience and periodontal disease. The oral examination was carried out by the dentist based on World Health Organization standard. Results: The average prevalence rate of metabolic syndrome MS was 23.79%, including 54.84% of risk group and 21.37% of normal group. The missing teeth rate was 82.38%, DMFT rate was 90.28% and the periodontal disease rate was 33.15%. Those having abnormal fasting blood glucose had 1.17 fold(95% CI: 1.00~1.37) higher periodontal disease than the normal group. The abnormal HDL cholesterol group had 1.25 times higher odds ratio(95% CI: 1.07~1.46) and the obese group had 1.27 times higher odds ratio(95% CI: 1.07~1.51). The risk group had 1.20 times higher odds ration(95% CI: 1.00~1.44) and that of the metabolic syndrome group was 1.60 times higher(95% CI: 1.29~1.97) in periodontal disease. The high blood pressure group had 1.25 times of missing teeth prevalence rate(95% CI: 1.00~1.37). The metabolic syndrome group had 1.47 times of missing teeth prevalence rate(95% CI: 1.11~1.94). Conclusions: The middle aged and elderly people in Korea had higher rate of metabolic syndrome and oral disease. It is necessary to implement the preventive oral health examination for the control of metabolic syndrome and oral diseases prevalence.

• Journal of Periodontal and Implant Science
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• v.42 no.3
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• pp.67-72
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• 2012

Purpose: Rheumatoid arthritis (RA) is a chronic multi-systemic disease that causes damage to the bone and connective tissues. This study was conducted in order to accurately measure the correlation between RA and periodontitis, and to obtain an unbiased estimate of the effect of RA on periodontal indices. Methods: In this historical cohort study, which was conducted from February to May 2011 in Hamadan city, Iran, 53 exposed people (with RA) were compared with 53 unexposed people (without RA) in terms of clinical periodontal indices (the outcomes of interest) including 1) plaque index (PI), 2) bleeding on probing (BOP), and 3) clinical attachment loss (CAL). Results: A sample of 106 volunteers were evaluated, 53 rheumatoid versus 53 non-rheumatoid subjects. There was a statistically significant correlation between RA and BOP (P<0.001) and between RA and CAL (P<0.001). However, there was no statistically significant correlation between RA and any of the periodontal indices. No correlation was seen between gender and any of the indices either. There was a strong positive correlation between age and all three periodontal indices (P<0.001). Conclusions: The present study indicated a potential effect of RA on periodontal indices. However, much more evidence based on a prospective cohort study is needed to support the cause and effect relationship between RA and periodontal indices.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.71-76
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• 2018

The aim of this study was to evaluate the association between obesity and periodontal diseases in Korea adults. The date from the 2015 Korean National Health and Nutrition Survey were used, and 4,827 subjects over 19 years were included in the analysis. Periodontal disease was assessed using the Community Periodontal Index. Obesity was measured according to body mass index. Odd ratios (ORs) were estimated using binary logistic regression analysis model. The stratification variables were smoking and diabetes, and also adjusted for sex, age, and education level. The adjusting variables included sex, age, and education level. The ORs of obesity for periodontal disease were 0.78 (95% CI = 0.51-1.22) for the category of <18.5 of BMI and 1.29 (95% CI = 1.11-1.49) for the ${\geq}25$ BMI category (both compared to the 18.5 to 24.9 category). In a subgroup analysis, the OR of BMI among those who were both non-smoking and no diabetes was 1.20 (95% CI = 1.02-1.48) for those with BMI levels ${\geq}25$. This study implies that obesity intolerance may be an independent risk factor for periodontal diseases. Obesity should also be considered when managing periodontal disease to improve oral health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3706-3713
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• 2014

This study examined the demographic and oral behavioral risk factors for periodontal disease in adult workers. The research subjects and method were conducted targeting 1,650 Korean adult workers aged 20-64 utilizing the data from the fifth Korea National Health and Nutrition Examination Survey (KNHANES V-3). As a result of this study, the periodontal tissue patients showed the risk factors for gender, age, income level, educational level, systemic disease, sleep hours, oral health level, biting trouble, and chewing difficulty. In terms of the greatest influence, the workers with problems with biting and chewing had a more than 3.5 times higher likelihood of being affected by periodontal disease. The findings of this study show that there are a variety of risk factors for periodontal diseases in Korean workers. To reduce the prevalence rate of periodontal disease, regular checkups including dental checkups and sufficient sleeping will be necessary, and the level of stress should be decreased. In addition, the government should take the required measures to remove the socioeconomic inequality, such as income gap or educational divide.