Association between Black Stains and Dental Caries in Primary Teeth: Findings from a Brazilian Population-Based Birth CohortFrança-Pinto C.C.a · Cenci M.S.a · Correa M.B.a · Romano A.R.a · Peres M.A.c · Peres K.G.c · Matijasevich A.b · Santos I.S.b · Barros A.J.D.b · Demarco F.F.a, b
aPostgraduate Program in Dentistry and bPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, and cPostgraduate Program in Public Health, University of Santa Catarina, Florianópolis, Brazil Corresponding Author
Flávio Fernando Demarco
Universidade Federal de Pelotas, Faculdade de Odontologia
Rua Gonçalves Chaves 457, 5o andar – Centro
96015568 Pelotas, RS (Brazil)
Tel. +55 53 3222 6690, E-Mail firstname.lastname@example.org
Lower dental caries experience has been observed in children and teenagers with the presence of black stains on dental structures. However, none of the previous investigations were population-based studies or adjusted the analysis for potential confounders. This study assessed the prevalence of black stains at the age of 5 in a population-based birth cohort from Pelotas, Brazil and investigated the association between black stains and dental caries. A total of 1,129 children from the 2004 Pelotas birth cohort were examined at age 5, and their mothers were interviewed at their households. Dental examinations included a search for black stains and dental caries on the primary dentition through the dmf-s index. The mothers’ questionnaire comprised data on demographic, social, and behavior aspects. Prevalence of black stains was 3.5% (95% CI 2.5–4.7) and the prevalence of dental caries was 48.4% (95% CI 45.4–51.4). Multivariable logistic regression analysis was performed to assess the association between black stains and dental caries. Adjusted analysis revealed that the presence of black stains was associated with lower levels of dental caries (OR = 0.51; 95% CI 0.26–0.99). The results of the present study suggest that black stains are a protective factor for dental caries development.
© 2012 S. Karger AG, Basel
Even though dental caries has experienced a significant decrease worldwide, it remains one of the most prevalent childhood diseases, especially in low and middle income countries [Sheiham, 2005]. In Brazil, despite the improvement over the last decades, dental caries is the most important oral health problem, and it is considered a public health concern [Antunes et al., 2005]. Furthermore, by age 5, 43.4% of Brazilian children have caries [Ministry of Health, 2011], with 82% of carious teeth occurring in 12% of the children [Ferreira et al., 2007]. Dental caries is strongly associated with the lack of fluoride availability, socioeconomic factors such as low maternal education and low family income, and behavioral and cultural factors such as poor oral hygiene and poor dietary habits (frequent consumption of refined carbohydrates, frequent use of oral medications that contain sugar, and inappropriate methods of feeding infants) [Fejerskov, 2004; Kiwanuka et al., 2004; Antunes et al., 2005; Ferreira et al., 2007; Selwitz et al., 2007; Declerck et al., 2008]. Therefore, the investigation of potential caries protective factors, especially in the most affected population, is an essential key to reduce dental caries inequalities.
Extrinsic dark dental pigmentation was associated with lower levels of caries in a school population in the Philippines [Heinrich-Weltzien et al., 2009]. Studies in Brazil have also demonstrated this relationship in mixed dentition [Gasparetto et al., 2003; Caldas et al., 2008]. Black extrinsic stains of bacterial origin are formed by ferric sulfide, which is a by-product of the reaction between hydrogen sulfide produced by bacteria and the iron ions present in saliva and gingival exudates [Reid et al., 1977]. These black stains are present as dots or small areas of dark coloration that may coalesce, forming a line that follows the contour of the marginal gingiva. They may also appear as diffuse stains, covering a great part of the tooth crown. The grooves, pits, and fissures can also be found to be impregnated with such pigmentation, which is difficult to remove, particularly in these areas [Koch et al., 2001]. We are unaware of any population-based study that investigated the prevalence of black stains; however, in non-population-based studies, the prevalence of black stains varies from 2.5 to 19%. This variation depends on factors such as study region, age of population enrolled, and dietary habits [Gülzow, 1963; Franco and Issao, 1990; Koch et al., 2001; Caldas et al., 2008; Heinrich-Weltzien et al., 2009].
Up to now, few studies have addressed the prevalence of black stains in deciduous teeth, and none has controlled for confounding variables [Koch et al., 2001; Gasparetto et al., 2003; Gallardo and Cencillo, 2005; Heinrich-Weltzien et al., 2009]. This study assessed the prevalence of black stains in the primary dentition of a birth cohort of 5-year-olds from Pelotas, RS, Brazil. We also tested the hypothesis that the presence of black stains is associated with lower levels of dental caries after adjusting for potential confounders.
In 2004, 4,558 children were born in the urban area of Pelotas, Southern Brazil. Of the 4,231 live births, 99% were evaluated within the first 24 h after birth, 96% at 3 months of age, and 94% at 12 months of age. Details about the methodology of the cohort study have already been published [Barros et al., 2006].
This work is part of a comprehensive oral health study (OH-04) nested in the Pelotas 2004 birth cohort, carried out in 2009. The mothers of all of the 5-year-old children born between August and December 2004 (n = 1,303) were invited to participate. The sample size is sufficient to test associations with a power of at least 80% to detect significant relative risks of 2 or more, significant at type I error of 5%, considering a prevalence of outcomes of 5% in nonexposed children.
Mothers were interviewed with the help of a structured questionnaire, and children underwent an oral examination; both the interview and the examination were performed at their homes. Black stains are defined as two neighboring teeth presenting black dots parallel to the gingival margin or covering up to one third of the crown with difficult removal [Theilade et al., 1973; Koch et al., 2001]. Dental examinations also included the investigation of dental caries on the primary dentition through the dmfs index [World Health Organization, 1997], which was later dichotomized using two cut points: dmfs ≥1 (presence of one or more caries lesions) and dmfs ≥3.
The characteristics of the mothers, such as family income and educational level, were collected at the hospital soon after the children’s birth. Family income at birth was collected in Brazilian currency Reais (BRL; 1 USD = 1.7 BRL) and then categorized into quartiles. Maternal education at childbirth was categorized into four groups: ≤4, 5–8, 9–11, and ≥12 completed years of study.
Mothers were asked ‘What kind of water does your child drink?’ Water type was categorized as tap, mineral bottled, well, or other. Frequency of consumption of sweet foods or drinks was obtained by asking ‘How many times a day does your child eat sweets between meals? For example: candies, cookies, lollipops, gum, chocolates?’ and ‘How many times a day does your child have sweetened drinks?’ Answer choices were ‘never or less than once a day’; ‘once a day’; ‘twice a day’, and ‘3 times or more per day’.
Eight dentists, students from the masters or PhD courses in dentistry at the Federal University of Pelotas, were trained and calibrated according to a method described elsewhere [Peres et al., 2001]. The calibration process was conducted with 100 preschool children at the age of the surveyed children. These children were not included in the study sample. Interexaminer diagnostic reproducibility was assessed by kappa coefficient (categorical variables) and by the intraclass correlation coefficient (continuous and discrete variables). High reproducibility was observed for dental caries (dmfs); the intraclass coefficient varied between 0.9 and 1.0 and kappa varied between 0.85 and 1.0 for first molars. For black stains, the lowest value for kappa was 0.6 and the highest 1.0.
For the fieldwork, the dentists, each assisted by a dental undergraduate student, conducted the interviews first and followed with the dental examinations to ensure that the questionnaire responses were not influenced by examination outcome. Children were examined sitting under artificial illumination (head lamp). The examiners were properly dressed, and all safety and biohazard measures were adopted. Furthermore, in order to assess data quality, 15% of the interviews were repeated with a shortened version of the questionnaire by fieldwork supervisors by telephone. The kappa for the evaluated questions varied between 0.6 and 1.0.
The process of data entry occurred simultaneously with the fieldwork. Data were double-typed using Epi-Info 6.04, and the consistency of information was subsequently verified. For data analysis, STATA software version 10 was used. Descriptive analysis was performed to describe absolute and relative frequencies and to calculate the prevalence of black stains and dental caries. The associations between black stains and the presence of dental caries with independent variables were assessed using bivariate analysis (χ2 and Fisher’s exact test for categorical variables and χ2 for linear trend for ordinal variables). Logistic regression models were used to analyze the presence of black stains as a protective factor for dental caries with two cut points of the disease, adjusting for potential confounders.
All variables that presented a p value ≤0.25 in the bivariate analysis were included in the multivariable analysis to control for possible confounding factors. Variables were organized in levels to guide their entrance in the statistical analysis. The demographic variable gender was placed at the first level as a distal determinant. Socioeconomic variables (familial income and maternal education) were grouped at the second level, followed by behavioral variables at the third level (i.e., sugar consumption). As black stains were associated in bivariate analysis with the same independent variables that showed association with the presence of dental caries, this variable was kept in the final model as a proximal determinant, although showing a p value greater than 0.25.
The project was approved by the Ethics Committee of the Federal University of Pelotas under number 100/2009 on 29/06/2009. All examinations and interviews were carried out after authorization by the parent of the participant through a consent letter. Children who had dental needs were referred to the Pedodontics Dental Clinic, Dental School, Federal University of Pelotas.
The response rate was 86.6% (n = 1,129). However, data on the prevalence of black stains were collected from 1,120 children because 9 children refused to be examined. Black stains were observed in 39 children (3.5%; 95% CI 2.5–4.7), and the caries prevalence was 48.4% (45.4–51.4). The mean dmfs indexes for children with or without black stains were 3.3 (SD 6.7) and 4.1 (SD 7.4), respectively. Although no statistical difference was observed in bivariate analysis, caries-free children showed higher prevalence of black stains (4.0%; 3.0–5.3) than those with dmfs >0 (3.0%; 2.0–4.1).
Factors associated with black stains are shown in table 1. Black stains were more prevalent in children with mothers of low education level, and in children with lower family income at birth. Furthermore, children who drank tap water had more black stains than those who drank mineral bottled water, natural well water, or other.
Unadjusted analysis showed that caries was more prevalent in males, in children whose mothers had less education, and in children whose mothers had lower family income at the children’s birth. Furthermore, children who drank water from natural wells presented higher caries prevalence than those who drank mineral water or tap/filtered water. Children who consumed sweets or sweetened drinks 3 or more times per day showed a higher prevalence of caries (table 2).
Adjusted logistic regression analysis revealed an association between black stains and dental caries for both cut points used (dmfs ≥1 or dmfs ≥3; table 3). Children with black stains showed a reduction of 51% in the odds for dental caries prevalence. After adjustment for confounding factors, black stains presented an OR = 0.49 (95% CI 0.25–0.96). Under the cut point dmfs ≥3, a stronger association in the same direction was observed (0.41; 0.19–0.87).
This was the first study to investigate the presence of black stains and their potential protective effect on dental caries considering an adjustment for demographic, social, and behavioral factors that influence both dental caries and black stains. Additionally, this study is a pioneer in showing the prevalence and the association of black stains with dental caries in a population-based study. The present study was carried out in a birth cohort that was followed since 2004 [Barros et al., 2006], which makes this investigation less susceptible to information bias. The internal validity of the study is a consequence of the high reproducibility of examiners and a low amount of missing data.
Even though the children surveyed are enrolled in a birth cohort, this was the first time that they underwent dental examination. Consequently, the present study showed a limitation with respect to establishing a temporal relationship between black stains and dental caries. In addition, the use of dmfs index was elected to the detriment of a more sensitive tool such as ICDAS. The choice for dmfs was due to the facility of use in large epidemiologic studies, with many oral outcomes to be evaluated and children with lower age. In addition, multivariable final models used two cut points for dental caries occurrence, conferring strength to our findings. The sample of this study was calculated based on an at least 5% prevalence of the outcomes to test associated factors. Despite this fact, we found a significant association between black stains and several variables.
The very low prevalence of black stains (3.48%) observed in this study agrees with findings from non-population-based studies carried out in Brazil, that found a prevalence ranging between 2.5 and 5.7% [Franco and Issao, 1990; Caldas et al., 2008]. However, the prevalence may vary, depending on where the study is conducted, from 19% in Switzerland [Gülzow, 1963] to 6.3% in Italy [Koch et al., 2001] and more recently, 16% in the Philippines [Heinrich-Weltzien et al., 2009]. The variability in the prevalence observed in the different studies could be attributed to differences in habits and lifestyles of the specific populations investigated. The etiology of black stains is not yet completely understood, so it is possible that different cultural and ethnic aspects can affect the origin of black stains. Additionally, some variation in the diagnostic criteria of black stains is expected among different studies, which may also affect prevalence data.
It is well known that socioeconomic characteristics such as maternal education and family income are determinant factors for caries [Selwitz et al., 2007; Meurman and Pienihäkkinen, 2010]. This association is supported by the results of the current study. In addition, we found a significant association between the presence of black stains and some of these determinants, with children from families with lower incomes and those with mothers with less education showing a higher prevalence of these stains. This association is interesting because at the same time, the presence of black stains and higher prevalence of decayed teeth were observed in the lower socioeconomic levels.
Regarding the association of dental caries and black stains, although no association was found between these variables in one study [Gallardo and Cencillo, 2005], other studies agree with our findings, demonstrating lower caries experience for children with black stains [Shourie, 1947; Sutcliffe, 1967; Koch et al., 2001; Heinrich-Weltzien et al., 2009]. Gasparetto et al.  showed a negative correlation between black stains and caries severity, but did not find any association between the presence of black stains and caries prevalence. Similarly, Koch et al.  found a tendency for children with black stains in primary dentition to present less dental caries, but the difference was not statistically significant. However, the mechanisms that lead to this association need further exploration.
The present findings showed that both black stains and dental caries had common co-variables, such as socioeconomic and behavioral characteristics. Considering these results and taking into account that we observed caries reduction in children presenting black stains in their teeth, it is reasonable to hypothesize that the independent variables tested in our investigation would behave as positive confounding factors. Similarly, Duckworth and Huntington  investigated the inverse association between dental calculus and dental caries explaining that some studies did not find a relationship between these variables because, as dental caries and black stains, they were correlated positively with other variables such as poor oral hygiene. Similarly to dental calculus formation [Duckworth and Huntington, 2005], calcium and phosphate are part of the reaction for black stain formation [Reid and Beeley, 1976] and together with fluoride and pH conditions are the main tooth remineralization components. Because caries development is a demineralization process due to the acids produced by oral bacteria, the presence of a larger amount of minerals in the oral cavity – which could be the case in children with black stains – enhances the remineralization process, keeping the oral cavity in a balanced equilibrium and reducing the risk for caries development [Gasparetto et al., 2003].
Other hypotheses require further investigation. Firstly, the low caries prevalence is a result of particular characteristics such as traditional dietary habits (sustainable community structures, limited exchange of goods and food, and limited exposure to a Western lifestyle) that were reported by Heinrich-Weltzien et al.  as a possible cause of black stains. In the current study, sweets consumption was not associated with black stains. Nevertheless, this variable depends on the recall by children’s mothers, which is susceptible to information bias, being a limitation of this study.
Secondly, it has been reported that low cariogenic oral microflora is associated with the presence of black stains [Theilade et al., 1973; Saba et al., 2006], and this could be a reason for the reduction of caries prevalence in individuals with dental black stains. It is noteworthy that bacteria related to black stains could establish a competitive environment for bacteria related to caries development, impairing the adhesion of these bacteria to dental surfaces or changing the ecological characteristics of the dental biofilm, somewhat reducing the potential for caries lesion development. This phenomenon can be observed mainly in people of low socioeconomic status because the wealthier segment of the population has easier access to bacterial accumulation prevention by dental service utilization and better feeding/hygiene habits. This explains how socioeconomic factors affect both dental caries and black stain prevalence. However, these hypotheses remain to be tested.
In conclusion, our findings highlight the need to use a statistical approach with multivariable analysis in future studies related to the prevalence of black tooth stains and its association with dental caries. In the clinical setting, the results of this study suggest that clinicians may consider the inclusion of black stains as a protective indicator when assessing caries risk in children. The results of this study support the notion that black stains are associated with lower levels of caries. Although this study demonstrated a relatively low prevalence of these stains in children at age 5, the significant association merits further investigation regarding the biological aspects of this caries inhibition mechanism.
This article is based on data from the study ‘Pelotas Birth Cohort, 2004’ conducted by the Postgraduate Program in Epidemiology at the Federal University of Pelotas.
The 2004 Birth Cohort Study is currently supported by the Wellcome Trust Initiative entitled Major Awards for Latin America on Health Consequences of Population Change. Previous phases of the study were supported by the World Health Organization, National Support Program for Centers of Excellence (PRONEX), the Brazilian National Research Council (CNPq), the Brazilian Ministry of Health, and the Children’s Mission.
This oral health study was sponsored by the Brazilian government agency CNPq with a grant to KGP (402372/2008-5). Also, the authors would like to thank the Brazilian government agency CAPES for the scholarship to the first author.
The authors of the present study declare that there are no conflicts of interests in relation to this study.
Flávio Fernando Demarco
Universidade Federal de Pelotas, Faculdade de Odontologia
Rua Gonçalves Chaves 457, 5o andar – Centro
96015568 Pelotas, RS (Brazil)
Tel. +55 53 3222 6690, E-Mail email@example.com
Open Access License: This is an Open Access article licensed under the terms of the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) (www.karger.com/OA-license-WT), applicable to the online version of the article only.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.