Using the Cariogram - Assessment of Different Dental Caries Risk Factors

In order to predict the factors which affect the occurrence of dental caries in children after the age 18-months, we analyzed the relationship between the increment of the decayed, missing, and filled teeth (dmft) in children from 18-months to three-years of age and caries risk factors. Subjects were 392 infants who received both an 18-month-old check-up and a three-year-old check-up in Chiba city. Stepwise multiple logistic regression analyses were used to analyze the results with the increment of the dmft by various combinations of independent variables (sex, order of birth, sweets intake, beverage intake, tooth brushing and feeding). The most predictive factors for the increment of the dmft in upper anterior and molar were “breast feeding” and “bottle feeding” respectively. From these results, we concluded that bottle feeding and breast feeding were the risk factors for the increment of the dmft from the age of 18-months to three years.

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RISK FACTORS OF NEW CARIES BASED ON CHILD DENTAL CARIES PREDICTOR APPROACH

Dentika Dental Journal ◽

10.32734/dentika.v18i2.2017 ◽

2014 ◽

Vol 18 (2) ◽

pp. 131-135

Author(s):

Quroti A’yun ◽

Julita Hendrartini ◽

Supartinah Santoso ◽

Diyah Fatmasari

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Dental Caries ◽

School Environment ◽

Dental Health ◽

Research Result ◽

New Method ◽

Observational Research ◽

Caries Risk ◽

Children's Behavior

Caries risk factors are factors relate to caries occurrence in individual or population. Caries risk factors vary in everyindividual. A new method to discover the relation between risk factors and caries in children is a software named childdental caries predictor This research aimed to know the general overview of the order of caries risk factor in elementaryschool students in the province of Daerah Istimewa Yogyakarta. This was an observational research with cross-sectionaldesign. The subjects were 430 children, ranging from 10 to 12 years of age. Caries risk factors that were assessed throughchild dental caries predictor were oral and dental condition, mothers and children’s behavior in maintaining dental health,and school environment. The research result showed that the percentage for each risk factor was 39.74% for oral anddental condition, 35.77% for children’s behavior in maintaining dental health, 15.90% for mothers’ behavior inmaintaining child’s dental health, and 7.95% for school environment. In conclusion, the order of children caries riskfactors through measurement using child dental caries predictor are oral and dental condition, children’s behavior inmaintaining dental health, mothers’ behavior maintaining child’s dental health,, and school environment.

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Hubungan Faktor Risiko Karies Gigi dengan Status Karies Gigi pada Anak Usia Dini (Studi pada TK Pelita Takwa, Pondok Betung, Tangerang Selatan)

e-GIGI ◽

10.35790/eg.v9i2.35013 ◽

2021 ◽

Vol 9 (2) ◽

pp. 266

Author(s):

Yufitri Mayasari

Keyword(s):

Risk Factors ◽

Early Childhood ◽

Preschool Children ◽

Dental Caries ◽

School Children ◽

Tooth Surface ◽

Caries Risk ◽

Chi Square ◽

Cross Sectional ◽

The Relationship

Abstract: Basic health research of Indonesia in 2018 showed that early childhood caries affected 93% of children. Early dental caries risk assessment using a dental caries risk simulator could be used to determine the appropriate program to prevent dental caries. This study was aimed to analyze the relationship between risk factors and dental caries status in early childhood. This was an analytical study with a cross sectional design using total sampling method. There were 51 preschool children at Taman Kanak Kanak (kindergaten school) Pelita Takwa, Pondok Betung, South Tangerang as samples. Dental caries was assessed by using the def-t index and dental caries risks were assessed by using the Irene's donut program. Interactive interviews with parents were conducted to determine the risk factors for dental caries among the students. The results showed that the prevalence of dental caries was 84.3% and the mean def-t was 5.35. The chi-square test was carried out to determine the relationship between dental caries status and risk factors. The result was not significant for three questions related to the factors, as follows: the child's tooth surface had white spots, the acidity level of the child's teeth was below pH 6.5, and the mother's age was 36 years old. Albeit, twelve other risk factors were shown to be associated with dental caries status. In conclusion, the prevalence of dental caries in preschool children was still high. Risk factors related to the dental caries status among pre-school children can be used as educational materials targeting pre-school children and their parents.Keywords: caries risk; dental caries; preschool children Abstrak: Riset Kesehatan Dasar Indonesia tahun 2018 menunjukkan bahwa 93% anak usia dini mengalami karies gigi. Penilaian risiko karies gigi sejak dini menggunakan simulator risiko karies gigi dapat menjadi salah satu cara untuk menentukan program yang tepat dalam mencegah terjadinya karies gigi. Penelitian ini bertujuan untuk menganalisis hubungan faktor risiko dengan status karies gigi pada anak usia dini. Jenis penelitian ialah analitik dengan desain potong lintang menggunakan metode total sampling. Sampel yang diperoleh sebanyak 51 anak usia dini di sekolah Taman Kanak-Kanak Pelita Takwa, Pondok Betung, Tangerang Selatan. Karies gigi dinilai menggunakan indeks def-t dan risiko karies subjek dinilai menggunakan program Irene’s donut. Wawancara interaktif dengan orang tua dilakukan untuk mengetahui faktor risiko terjadinya karies gigi pada pasien tersebut. Hasil penelitian mendapatkan prevalensi karies gigi sebesar 84,3% dengan rerata def-t 5,35. Uji chi-square terhadap hubungan status karies gigi dengan faktor risiko mendapatkan hasil tidak bermakna pada tiga pertanyaan terkait faktor permukaan gigi anak ada bercak putih, tingkat keasaman kuman gigi anak di bawah pH 6,5, dan usia ibu 36 tahun ke atas. Dua belas faktor risiko lainnya terbukti memiliki hubungan dengan status karies gigi. Simpulan penelitian ini ialah prevalensi karies gigi pada anak prasekolah masih tinggi. Faktor-faktor risiko yang terbukti memiliki hubungan dengan status karies gigi anak dapat dijadikan materi edukasi dengan sasaran anak pra sekolah serta orang tuanya.Kata kunci: risiko karies; karies gigi; anak usia pra sekolah

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Study of caries risk factors in a group of Bucharest schoolchildren (2)

Romanian Journal of Stomatology ◽

10.37897/rjs.2015.2.8 ◽

2015 ◽

Vol 61 (2) ◽

pp. 156-160

Author(s):

Cristian Funieru ◽

◽

Ruxandra Ionela Sfeatcu ◽

Elena Funieru ◽

Mihaela Răescu ◽

...

Keyword(s):

Risk Factors ◽

Dental Caries ◽

Oral Hygiene ◽

Buffering Capacity ◽

Mutans Streptococci ◽

Entire Group ◽

Moderate Degree ◽

Caries Risk ◽

Poor Oral Hygiene ◽

Real Risk

Introduction. A poor oral hygiene, a wick salivary buffering capacity or a high number of colonies of specific bacteria are real risk factors for dental caries. Material and method. This study was conducted on a sample of 46 students aged 10 to 12 years attending two schools in Bucharest. Oral hygiene assessment was made both by using questionnaires and by calculating the OHI-S score. The salivary risk factors were identified and analyzed using GC Saliva Check Buffer and GC Saliva Check Mutans tests. Results. OHI-S score for the entire group led to a moderate degree of oral hygiene. Almost 40% of pupils had a number of mutans streptococci colonies over the limit. Conclusions. The poor oral hygiene and the high number of mutans streptococci colonies in saliva found in this study lead to a high dental caries risk.

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Effect Of Oral Hygiene Practices On Dental Caries Risk Factors Among Adolescents

Annals of Dental Specialty ◽

10.51847/1vbgjrczg9 ◽

2021 ◽

Vol 9 (2) ◽

pp. 11-16

Author(s):

Heba Ashi

Keyword(s):

Risk Factors ◽

Dental Caries ◽

Oral Hygiene ◽

Caries Risk ◽

Hygiene Practices

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Caries Risk Assessment and Control

Journal of Oral Health and Community Dentistry ◽

10.5005/johcd-5-2-58 ◽

2011 ◽

Vol 5 (2) ◽

pp. 58-63 ◽

Cited By ~ 5

Author(s):

Nikhil Sharma ◽

Nitin Khuller ◽

P Basavaraj ◽

Rajnanda Ingle Khuller

Keyword(s):

Risk Factors ◽

Dental Caries ◽

Oral Health Status ◽

Risk Assessments ◽

Caries Risk ◽

Factors Associated ◽

Modifying Factors ◽

Causative Factors ◽

Principal Factors ◽

And Control

ABSTRACT Dental caries has a multifactorial etiology in which there is interplay of three principal factors. The host (saliva and teeth), the micro flora (plaque), and the substrate (diet), and a fourth factor time. Many times the initiation, development and progression of dental caries are often influenced by the oral health status, aetiology, modifying factors, preventive factors and other risk factors. There is no single test that takes into consideration all these factors and can accurately predict an individual's susceptibility to caries. The risk of dental caries can be evaluated by analyzing and integrating several causative factors. Caries risk assessments during treatment can serve as monitoring aid for the success of the treatment. The aim of this review is to assess the risk factors associated with dental caries so that the treatment can be planned accordingly.

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Monitoring of caries disease by risk assessments and activity

RGO - Revista Gaúcha de Odontologia ◽

10.1590/1981-863720160001000103122 ◽

2016 ◽

Vol 64 (1) ◽

pp. 70-78

Author(s):

Jenny ABANTO ◽

Gabriela Oliveira BERTI ◽

Lucyene MIGUITA ◽

Marcelo BONECKER

Keyword(s):

Risk Factors ◽

Risk Assessment ◽

Dental Caries ◽

Communicable Disease ◽

Public Health Problem ◽

Treatment Decision ◽

Caries Risk ◽

Caries Risk Assessment ◽

Correct Treatment ◽

Evaluation Systems

ABSTRACT Dental caries is a non-communicable disease and is considered a public health problem. For diagnosis and correct treatment, the study of risk assessment and caries activity is necessary. The caries risk assessment is a way to formalize the balance and imbalance of predictably disease to diagnose dental caries. Therefore, the caries risk assessment is performed through different evaluation systems. Another parameter of great importance to be studied is the activity of caries, because through it is done the correct treatment decision for the patient. The objective of this article is to inform the reader about: the concepts and caries risk factors; the different caries risk assessment systems described in the literature; and which systems are validated. In addition, this literature review provides for identification and evaluation of risk factors and activity of caries lesions in order to enable greater objectivity in the diagnosis and facilitate the decisions of a successful treatment.

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Unstimulated Saliva-Related Caries Risk Factors in Individuals with Cystic Fibrosis: A Cross-Sectional Analysis of Unstimulated Salivary Flow, pH, and Buffering Capacity

Caries Research ◽

10.1159/000450658 ◽

2016 ◽

Vol 51 (1) ◽

pp. 1-6 ◽

Cited By ~ 5

Author(s):

Alaa A. Alkhateeb ◽

Lloyd A. Mancl ◽

Richard B. Presland ◽

Marilynn L. Rothen ◽

Donald L. Chi

Keyword(s):

Risk Factors ◽

Cystic Fibrosis ◽

Dental Caries ◽

Flow Rate ◽

Salivary Flow ◽

Buffering Capacity ◽

Salivary Flow Rate ◽

Caries Prevalence ◽

Caries Risk ◽

Salivary Ph

Salivary flow rate, pH, and buffering capacity are associated with dental caries, but studies from the cystic fibrosis (CF) literature are inconclusive regarding these salivary factors and caries. The aim of this study was to evaluate these factors and their associations with dental caries in individuals with CF. Unstimulated whole saliva was collected from individuals aged 6-20 years at Seattle Children's Hospital CF Clinic, USA (n = 83). Salivary flow rate was measured in milliliters per minute. Salivary pH was assessed using a laboratory pH meter. Buffering capacity was assessed by titration with HCl. The outcome measure was caries prevalence, defined as the number of decayed, missing, or filled primary and permanent tooth surfaces. Spearman's rank correlation coefficient and the t test were used to test for bivariate associations. Multiple variable linear regression models were used to (1) run confounder-adjusted analyses and (2) assess for potential interactions. There was no significant association between salivary flow rate or buffering capacity and caries prevalence. There was a significant negative association between salivary pH and caries prevalence, but this association was no longer significant after adjusting for age. There was no significant interaction between salivary flow rate and buffering capacity or between antibiotic use and the 3 salivary factors. Our results indicate that unstimulated salivary factors are not associated with dental caries prevalence in individuals with CF. Future studies should investigate other potential saliva-related caries risk factors in individuals with CF such as cariogenic bacteria levels, salivary host defense peptide levels, and medication use.

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