Journal of eISSN: 2373-4345 JDHODT

Dental Health, Oral Disorders & Therapy
Case Report
Volume 9 Issue 3

Project SB Brasil 2010: individual and contextual factors that have impact on dental caries prevalence
Valéria Silva Candido Brizon,1 Sabrina Hundertmarch Paz,1 Dióger dos Santos Paz,1 Glaucia Maria Bovi Ambrosano,2 Francisco Carlos Groppo,3 Gabriela Rojas Soto,1 Antonio Carlos Pereira,1 Karine Laura Cortellazzi Mendes,1 Renato Pereira da Silva4
1Department of Social Dentistry, State University of Campinas, Brazil
2Department of Biostatistics, State University of Campinas, Brazil
3Department of Physiological Sciences, State University of Campinas, Brazil
4Department of Nutrition and Health, Federal University of Viçosa/ Center of Biological Sciences II, University Campus, Brazil
Received: April 30, 2018| Published: May 17, 2018

Correspondence: Dioger dos Santos Paz, Department of Social Dentistry, School of Dentistry of Piracicaba, State University of Campinas, Av. Limeira, nº 901, district: Areião, Piracicaba, São Paulo, SP, Mailbox 52, CEP: 13414-903, Brazil, Email

Citation: Brizon VSC, Paz SH, Paz DS, et al. Project SB Brasil 2010: individual and contextual factors that have impact on dental caries prevalence. J Dent Health Oral Disord Ther. 2018;9(3):168‒172. DOI: 10.15406/jdhodt.2018.09.00372


There is a clear decline in caries experienced by the world population in recent decades. The dissemination of fluoride use, combined with the public health politics that facilitate the population's access to oral health services, has been identified as the main causes of the current pattern of caries development in Brazil. However, other variables may be involved in decay of caries. The objective of this study was to identify individual and contextual variables associated with caries prevalence in 12,614 individuals allocated to the 12-year age group and to the 15 to 19 age group, examined in the last epidemiological survey of oral health in Brazil–SB Brasil 2010. The variables evaluated were: "age group", "dental caries", "family income", "educational level", "frequency of use of dental services" and "self-perception and impact of oral health status". The contextual variables analyzed were: 'Child Benefit', National Health System Development Index (IDSUS), 'Human Development Index (HDI)' and 'presence/absence of fluoridated water treated water' were collected from data secondary databases in the public and inter- institutional database of the Department of Primary Health Care of the Brazilian Ministry of Health. The results showed that the self-perception of the need for dental treatment, as well as the report of tooth pain, is variables directly related to the predisposition of caries development in this population. The value of the IDSUS greater than 5.76 and the presence of fluoridated water in the municipalities were considered as protective factors against caries. It was concluded that, in addition to the policies for fluoridation of treated water and access to oral health services in SUS, adequate planning of oral health actions should address issues according to the local population.

Keywords: epidemiology, public health, oral health, dental caries, DMF index, dental health, surveys


The national epidemiological oral health surveys conducted in the last few decades have shown evidence of the decline and polarization of caries experienced in different countries in the world,1 as has also been verified in Brazi.2 The action of fluoridated public water supply and dentifrices (McDonagh et al., 2000; Marinho et al., 2004), potentiated by the impact of public health policies2,3 have contributed to the present profile of this disease in Brazil (Brasil, 2011). Together to the effects of fluorides and public health policies, various authors have reported the effect of individual and contextual variables, to some degree, on the health-disease process relative to oral conditions, showing evidence of its multifactorial nature.37 Among these variables, family income has been one of the most widely studied and reported as being associated with caries prevalence.7 The importance of the education of the parents' of children and adolescents in determining the etiology of caries, has also been consolidated.6 In addition to these factors, self-perception of oral health status and forms of access to public oral health services have also been found to be associated with the prevalence of caries in diverse populations (Borges et al., 2008; Brasil, 2011). In the context in which the individual is inserted, the Family Financial Grant Program is emphasized. This is a Brazilian program for the distribution of income to families in a situation of poverty and extreme poverty, with the goal of overcoming the situation of vulnerability to which these families are exposed, with regard to their basic social rights in the areas of education health and social assistance.8 To elucidate the manner in which these variables are related to the prevalence of caries must be the trigger for more precise planning of actions in health, with a view to improving of the oral health condition of populations. Thus, the aim of this study was to identify individual and contextual variables associated with caries prevalence in 12614 individuals allocated to the age group of 12, and group from 15 to 19 years, examined in the last epidemiological oral health survey in Brazil–SB Brasil 2010.9


This article was prepared from the analysis of secondary data originated in the "Projeto SB Brasil 2010",9 and obtained from the public and inter-institutional databases available at the following electronic address, of the Department of Primary Care (DAB) of the Ministry of Health of Brazil. The project SB Brasil 2010,9 was approved by the Ethics Committee on Research with Human Beings, Protocol No.009/2010. The Term of Free and Informed Consent was obtained from all individuals who participated in the study. This project consisted of an epidemiological survey of the oral health conditions of the Brazilian population in diverse age groups, in order to obtain epidemiological data capable of subsidizing the elaboration of guidelines for a national oral health policy, in addition to actions to strengthen the management of oral health public services in the different spheres of government. Clinical data were obtained from dental exams performed in accordance with the methodology proposed by the World Health Organization, while data relative to the socioeconomic condition, self-evaluation of oral health, and access to dental services were collected by means of questionnaires.9 A number from 01 to 250 participants per city were evaluated in 176 cities in Brazil, totaling a final study sample of 12614 individuals allocated to the group of 12 years old, and the age group from 15 to 19 years of age. The sampling technique used by SB Brasil 2010 was probabilistic by/through conglomerates. For this purpose, three stratifications were used: The first used Domains and Primary Sampling Units: capitals and municipalities of the interior, according to macro-region. The second consisted of subdivision of the participating municipalities: 27 capitals plus 30 municipalities in the interior in each region. The third was performed by lottery to guarantee representativeness in the municipalities, census sectors and domiciles. The individual independent variables (relative to age group, demographic data, oral health diseases, socioeconomic data, educational level, morbidity, use of dental services and self-perception and impact of oral condition on health), and the contextual variables (Family Financial Grant-'Child Benefit', National Health System Development Index (IDSUS), Human Development Index (HDI) and Interaction GNP/fluoridated water initially analyzed by descriptive statistics. Subsequently we proceeded with multilevel multiple logistic regression analysis. Adopting a level of significance α=0.05 (5%), performed in the statistical software package SAS System 9.2 for Windows®. The prevalence of caries in permanent teeth was considered dichotomized into zero, and higher than zero as response variable. Initially bivariate analyses between the studied variables and response variable were performed by means of the Chi-square or Exact Fisher tests. After this, a multilevel logistic regression model was estimated, considering the individual variables as Level 1 and the contextual variables as Level 2. For this purpose, the PROC GLIMMIX procedure was used; that is, “Generalized Linear Models-Mixed”, specifying the logit link function and binary response variable. Adjustment of the model was evaluated by -2 Res Log Likelihood. In all the statistical models of this analysis, the significances were controlled by the other predictors of the model.


Descriptive analysis of the individual independent variables may be observed in Table 1.



Percentage (%)

General Information





15 to 19years



























Oral Health Diseases

DAI Classification

Without malocclusion/Malocclusion defined



Severe malocclusion/Very severe malocclusion



Treatment Need

Does not require



Does require



CPI - Community Periodontal Index




Bleeding/Calculus/Pocket  4-5mm/ Pocket of 6 mm or more



Socioeconomic data

Number of  persons







Number of Goods/Assets*







Income per capita*







Schooling, morbidity and use of dental services Self-perception and Impact on health

Years of Schooling*







Perception of Need for Treatment







TOOTHACHE (in last 6 months)







Visit to the dentist







Frequency of  Consultation

Less than 1year



1 to 2years/



3 or more years



Where did your last visit occur?

Public Service



Private Service/Health Insurance/Plans



Reason for consultation














Table 1 Frequency and percentage per category of individual qualitative independent variables

The sample was composed of 12614 participants; of these 57.45% were composed of 12-year-old children, and 42.55% of adolescents in the age-range from 15 to 19 years. The major portion of those examined (81.50%) resided in the capitals of the different Brazilian states selected in the Project SB Brasil 2010;9 (18.55%) of the individuals researched had severe, or very severe malocclusion. The majority, (69.70%), of the participants needed some type of treatment. Approximately 71% of the individuals came from families with a monthly income of up to 1500 reais, among whom fewer than 42% of the parents and/or those responsible for the home were studying at, or had a university title. As regards the self-reported oral health status, 68.51% perceived they needed treatment, and 24.02% informed having felt toothache in the 6 months prior to the dental exams of the SB Brasil 2010 Project. With respect to the manner in which individuals had access to oral health services, 83.74% were found to have access to the dentist, and of these, 59.86% had visited the dentist in a period shorter than 1year, and 51.45% used the public dental service. Pain, tooth extraction and other types of curative treatment still persist as the main cause of making an appointment with the dentist, and this was reported by 63.89% of the individuals. The majority of those examined (63.86%) did not report any dental impact on the performance of their daily activities.  With regard to the contextual variables, it was verified that 51.57% of the cities from which the participants came, were contemplated by the Family Financial Grant Program (Bolsa Família-BF). The majority of these municipalities (63.56%) received scores higher than 5.76 for IDSUS. Nevertheless, these scores will still lower than score 7.00, the cut-off score for a satisfactory performance of SUS. A high HDI, over 0.80 was found in 47.62% of the municipalities in which the dental exams were performed. The interaction between GNP and fluoridated water was found in the majority of the municipalities of this study (Table 2). As follows, we present the different multilevel models estimated for this study (Table 3). In Model 1, it may be observed that the mean caries prevalence in the cities of the sample was 0.671, with standard error of 0.019. When the variables of the individual level were included (Model 2) higher prevalence was observed in individuals in the age-range from 15 to 19 years of age, with an income lower than R$1500 (p<0.001), who needed treatment (p<0.001), had higher CPI scores (p<0.001), with greater perception of treatment need (p<0.001), had toothache (p<0.001) and who had greater oral impact on daily performance (OIDP). The influence of individual and contextual variables on the variability of caries prevalence is presented in Model 3 (Table 4).



Percentage (%)


Family Financial Grant







IDSUS (scores)














Interaction (GNP and fluoridated water)

≤14921.92 without Fluoride



≤14921.92 with Fluoride



>14921.92 without Fluoride



>14921.92 with Fluoride



Table 2 Frequency and percentage per category of contextual qualitative independent variables


          Model 1
(Only the intercept)

                      Model 2
             (Individual Variables)

Estimate (SE)


Estimate (SE)

Odds ratio



0.671 (0.019)


-1.546 (0,062)





  Age (Ref.¹: 12 years)



1.383 (0.053)



  Treatment Need (Ref¹.: No)



1.962 (0.053)



  CPI² (Ref.¹: Healthy



0.262 (0.048)



  Income (Ref.¹:≤1500)



-0.266 (0.051)



  Perception of Dental Treatment Need (Ref¹.: No)



0.353 (0,051)



  Toothache Ref¹.: No)



0.555 (0.065)



  OIDP² (Ref.¹: zero)



0.171 (0.054)



 -2 Res Log Likelihood






Table 3 Multilevel multiple logistic regression analysis (Models 1 and 2) for individual variables in 12-year-old children and adolescents from 15 to 19 years of age, Brasil, 2010

¹Ref.= Reference; ²CPI= Community Periodontal Index; ³OIDP=  Oral Impact on Performance


                         Model 3
(Individual and contextual variables)

Estimate (SE)

Odds ratio



-1.131 (0.090)





 Age (Ref.¹: 12 years)

1.379 (0.055)



 Treatment Need (Ref¹.: No)

1.953 (0.054)



 CPI (Ref.¹: Healthy

0.231 (0.050)



 Income (Ref,¹: ≤1500

-0.179 (0.053)



 Perception of Dental Treatment Need (Ref¹.: No)

0.331 (0.053)



 Toothache (Ref¹.: No)

0.595 (0.068)



 OIDP (Ref.¹: zero)

0.211 (0.056)





 IDSUS4 (Ref: ≤5.76

-0.118 (0.057)



 GNP5 low with fluoride (Ref: Low and with)

-0.292 (0.078)



 GNP high with fluoride (Ref: Low and with)

0.091 (0.129)



 GNP high with fluoride (Ref: Low and without)

-0.576 (0.084)



 -2 Res Log Likelihood




Table 4 Multilevel multiple logistic regression analysis (Model 3) for individual and contextual variables in 12-year-old children and adolescents from 15 to 19 years of age, Brasil, 2010

¹Ref.= Reference; ²CPI= Community Periodontal Index; ³OIDP= Oral Impact on Performance; 4IDSUS= National Health System Performance Index ;5GNP= Gross National Product

In Model 3, the individual and contextual variables were worked on. For caries prevalence, the following individual variables were significant: those in which the participants had treatment needs (p<0.001), those who had some gingival alteration, such as bleeding, calculus, and/or pocket larger than 4 mm (CPI-p<0.001), whose family income was lower than or equal to R$1500.00 (p=0.008), who reported they perceived need for treatment (p<0.001), felt toothache (p<0.001) and participants who reported they had oral alteration and this had an impact on their daily life performance (OIDP). For the contextual variables, the following were significant: cities that received IDSUS scores equal to or lower than 5,76 and the interaction (GNP and fluoridation) was low (low GNP and had no fluoridated water for consumption).


The aim of the present study was to identify the individual and contextual variable that showed some impact on the prevalence of caries in the sample of the last national epidemiological oral health survey, the Project SB Brasil 2010. The multifactorial nature of the etiology of this disease, recognized for decades in the scientific literature, was corroborated by the results found. Among the individuals examined, it was observed that those who presented a Community Periodontal Index differing from zero also presented greater risk for presenting caries prevalence differing from zero. This result was corroborated by the study of Merchant,10 in which the direct relationship between periodontal disease, notably in its severe form, and caries was reported. However, only 0.7% of the sample between the ages of 15 to 19 years presented a deep periodontal pocket. Previous studies11,12 have related a better family income as protective factor, including the study of Borges et al., 2008, in which the secondary data of Project SB Brasil, in its 2002-2003 edition, were also verified in the present study. It should be emphasized that income is normally articulated with other variables that also have an impact on the health of individuals, such as, for example, educational level, number of individuals and consumer goods in a home (Gonçalves et al., 2002; Borges et al., 2008; Leão et al., 2012). Nevertheless, no other socioeconomic variable obtained significance to compose the statistical model.

The self-reported, subjective need for treatment in health has also been explored in epidemiological surveys, since it is simple to obtain, and it is possible to associate it with objective traditional health indicators (Reichert et al., 2012). The assumption of need for dental treatment shows the importance individuals attribute to oral health, and together with the objective indicators of oral health, guides the planning and execution of dental actions in the sphere of public oral health care. The presence of pain and the definition of the extent to which dental problems have impact on the daily life of individuals has been shown to be important in determining how individuals access the public dental services, because up to now, no interval between routine consultations, proved to be scientifically efficient, has yet been defined (Davenport et al., 2003). Nevertheless, periodic visits are important for maintenance of dentition (Cunha-Cruz et al., 2004). Thus, individuals who reported pain in any tooth during a dental exam, present more chance of having a DMF index differing from zero (OR=1.81). In the studied sample, individuals who perceived the need for treatment (OR=1.39) or who had an OIDP (OR=1.23) also presented greater chance of having a DMF index differing from zero. One of the strategies for reducing the inequalities in oral health, resulting from the unequal distribution of public health services and income, is public water supply fluoridation.3 This measure, in addition to the growing consumption of fluoridated dentifrices, has been recognized worldwide as contributing to the reduction of the burden of caries (McDonagh et al., 2000; Marinho et al., 2004). However, later studies conducted in the State of São Paulo, Brazil, found no statistically significant difference in the prevalence of caries between municipalities with and without water supply fluoridation for the 12-year-old Group4 and the age Group from 15 to 19 years.11 The protective factor of fluoridated water was found in this study, corroborating the findings of previous systematic reviews (McDonagh et al., 2000; Marinho et al., 2004) and findings later7 than the results of exams performed in Project1 SB Brasil 2010.9 However, it was found that the protective effect of fluoridated water on the prevention of caries was more evident in municipalities whose GNP was higher, reinforcing the multifactorial nature itself of the etiology of caries disease. In spite of being discrete, the protective effect of a higher income (individual variable) and a higher IDSUS value (contextual variable), although still below the ideal, must be equally considered in the planning of actions in health with a view to improve the nosological condition relative to oral diseases, considering that the importance of these variables will be perceived in the short and long term in the health of the population.


From the results found, it was possible to delineate the behavior of individual and contextual variables in the etiology and prevalence of caries in Brazil in the year 2010, for the studied age range. Therefore, health managers and professionals directly involved in public health must pay special attention to the policies of strengthening SUS, with a view to its better qualification, and access to users, in addition to the maintenance and/or expansion (where necessary) of the policy of public water supply fluoridation. Health professionals must also pay special attention to identifying the health status and self-reported need for treatment, which are also risk factors for the development of caries in the Brazilian population.13−19



Conflicts of interest

The authors declare that there is no conflict of interest.


  1. Marthaler TM. Changes in dental caries 1953-2003. Caries Research. 2004;38(3):173–181.
  2. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Projeto SB Brasil 2003: condições de saúde bucal da população brasileira 2002-2003: resultados principais. Brasília: Ministério da Saúde; 2004.
  3. Frias AC, Antunes JLF, Junqueira SR, et al. Determinantes individuais e contextuais da prevalência de cárie dentária não tratada no Brasil. . Revista Panamericana de Salud Publica. 2007;22(4):279–285.
  4. Moimaz, SAS, Costa ACO, Silva LP, et al. A comparative analysis of caries and fluorosis among cities with and without public water supply fluoridation in São Paulo State, Brazil. Revista Odonto Ciência. 2010;25(1):15−19.
  5. Celeste RK, Fritzell J, Nadanovsky P. The relationship between levels of income inequality and dental caries and periodontal diseases. Cad Saúde Pública. 2011;27(6):1111−1120.
  6. Ferreira LL, Brandão GAM, Garcia G, et al. Odontalgia associada a variáveis socioeconômicas, psicossociais e saúde bucal. Revista Dor. 2012;13(4):343−349.
  7. Lisboa CM, Paula JS, Ambrosano GMB, et al. Socioeconomic and family influences on dental treatment needs among Brazilian underprivileged schoolchildren participating in a dental health program. BMC Oral Health. 2003;13:56.
  8. Brasil, Ministério da Saúde, Coordenação Geral de Saúde Bucal. Banco de dados da Pesquisa Nacional de Saúde Bucal – Projeto SB Brasil 2010”. 2013.
  9. Roncalli AG. The SB Brasil 2010 Project: a key strategy for developing an oral health surveillance model. Cadernos de Saúde Pública.2010;26(3):428−429.
  10. Merchant AT. Periodontitis and dental caries occur together. Journal of Evidence-Based Dental Practice. 2012;12(3):18−19.
  11. Gushi LL, Soares MC, Forni TIB, et al. Cárie dentária em adolescentes de 15 a 19 anos de idade no Estado de São Paulo, Brasil, 2002. Cadernos de Saúde Pública. 2005;21(5):1383−1391.
  12. Meneghim MC, Kozlowski FC, Pereira AC, et al. Classificação socioeconômica e sua discussão em relação à prevalência de cárie e fluorose dentária. Ciência & Saúde Coletiva. 2007;12(2):523−529.
  13. Cortellazzi KL, Tagliaferro EPS, Assaf AV, et al. Influência de variáveis socioeconômicas, clínicas e demográfica na experiência de cárie dentária em pré-escolares de Piracicaba, SP. Revista Brasileira de Epidemiologia. 2009;12(3):490−500.
  14. Leroy R, Bogaerts K, Lesaffre E, et al. Effect of Caries Experience in Primary Molars on Cavity Formation in the Adjacent Permanent First Molar. Caries Researc. 2005;39(5):342−349.
  15. Lucas SD, Portela MC, Mendonça MC. Variações no nível de cárie dentária entre crianças de 5 e 12 anos em Minas Gerais, Brasil.Cadernos de Saúde Pública. 2005;21(1):55−63.
  16. Moreira PVL, Rosenblatt A, Passos IA. Prevalência de cárie em adolescentes de escolas públicas e privadas na cidade de João Pessoa, Paraíba, Brasil. Ciência & Saúde Coletiva. 2007;12(5):1229−1236.
  17. Narvai PC, Frazão P, Roncalli AG, et al. Cárie dentária no Brasil: declínio, iniquidade e exclusão social. Revista Panamericana de Salud Public. 2006;19(6):385–93.
  18. Pine CM, Curnow MM, Burnside G, et al. Caries prevalence four years after the end of a randomized controlled trial. Caries Res. 2007;41(6):431−436.
  19. Spolidorio DM, Hofling JF, Moreira D, et al. Dental caries status in deciduos and permanent dentition of Brazilian children aged 6-8 years with a socioeconomic base. Brazilian Journal of Oral Science. 2003;2(4): 147−150.
©2018 Brizon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.
© 2014-2018 MedCrave Group, All rights reserved. No part of this content may be reproduced or transmitted in any form or by any means as per the standard guidelines of fair use.
Creative Commons License Open Access by MedCrave Group is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at
Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version | Opera |Privacy Policy