Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Oct 1.
Published in final edited form as: Eur J Oral Sci. 2022 Aug 2;130(5):e12889. doi: 10.1111/eos.12889

Pattern of caries lesions and oral health-related quality of life throughout early childhood: a birth cohort study

Kelly da Rocha Gomes Benelli 1, Benjamin W Chaffee 2, Paulo Floriani Kramer 1,3, Jessica Klöckner Knorst 4, Thiago Machado Ardenghi 4, Carlos Alberto Feldens 1
PMCID: PMC9845073  NIHMSID: NIHMS1862015  PMID: 35917322

Abstract

The aim of this study was to evaluate the impact of different patterns of dental caries on oral health-related quality of life (OHRQoL) throughout early childhood. This birth cohort study followed 277 children from southern Brazil for 6 years. Demographic and socioeconomic variables were collected at birth. At age 3 years, children’s dental caries experience was quantified as the decayed, missing, or filled teeth (dmft) index. At age 6 years, parents answered the Early Childhood Oral Health Impact Scale (ECOHIS). Poisson regression models were used to estimate associations between caries experience and later OHRQoL, presented as the ratio of ECOHIS scores between the groups. The prevalence of dental caries at 3 years old was 37.5%. Dental caries lesions only in anterior teeth, only in posterior teeth, and in both dental segments at age 3 years were associated with age 6 years ECOHIS scores 2.7, 7.8, and 6.2 times higher than children without dental caries experience, respectively. OHRQoL was worse among children with higher dmft scores. Dental caries lesions in posterior teeth by age 3 years was strongly predictive of adverse impacts on later OHRQoL, presumably as an indicator of continued disease experience in the intervening years.

Keywords: child, dental caries, longitudinal study, quality of life, oral health

INTRODUCTION

Oral health-related quality of life (OHRQoL) has been considered one of the most relevant outcomes in dentistry. Studies over the last decade have been consistent in demonstrating that OHRQoL is negatively affected by different clinical factors, notably dental caries, especially in early childhood [1-3]. Most existing studies generally compare the quality of life of children and their families between children with or without dental caries. Several recent studies further reported that greater caries lesion depth, as well as progression from superficial to deep lesions, is associated with a more negative impact on OHRQoL than superficial lesions [4,5].

Early childhood caries (ECC) can be highly variable in its presentation, including the number of teeth affected - from 0 to 20 – and the dental segment affected – anterior, posterior or both [6-8]. Sugar consumption is the primary cause of dental caries, but the pattern of the teeth affected may depend on specific risk factors and dietary practices. For example, an anterior caries pattern may appear in children who drink sugary liquids in a bottle while sleeping or between meals [9]. The pattern of caries presentation can determine the appropriate treatment strategy and treatment complexity, from the choice of dental materials to the need for treatment in a hospital setting [7,9]. Likewise, certain caries patterns could impose a heavier OHRQoL burden than others on children and their families. Prioritizing ECC management of disease patterns most likely to impact quality of life may be particularly important in scarce resource settings.

Many existing investigations have shown strong concordance between OHRQoL and ECC prevalence or the total number of caries-affected teeth [1-4]. However, most studies have been cross-sectional and few have considered the dental segment location where caries occurs. While one study reported a negative impact of dental caries in both the anterior and posterior segments, another investigation found that only lesions on the posterior teeth impacted OHRQoL [10-11]. Segment-specific and longitudinal data may prove especially valuable for early identification of children and families most likely to experience meaningful negative quality of life impacts over time, allowing for more intensive secondary prevention and management interventions to target children with the most impactful disease presentation.

Thus, the aims of the present study were: i) to assess whether a greater number of teeth affected with dental caries lesions will correspond to worse OHRQoL; and ii) to evaluate the dental segment affected as a predictor of future OHRQoL. We hypothesized that a greater number of caries-affect teeth will present worse future OHRQoL; and that children with anterior segment caries will present worse future OHRQoL than children with posterior segment caries.

MATERIAL AND METHODS

Study design and sample

This birth cohort study with 6 years of follow-up is nested in a randomized clinical trial (RCT) carried out in 2008 beginning with a sample of pregnant mothers from Porto Alegre, in southern Brazil (clinicaltrials.gov: NCT00635453). The municipality has 1.43 million inhabitants, a Human Development Index (HDI) of 0.805, and fluoridated water supplies (0.7 ppm F). At baseline, a total of 20 Basic Health Units (BHU) were randomly selected among the 31 eligible BHU in the municipality. Subsequently, all pregnant women who attended the BHU were invited to participate in the study. However, HIV-positive pregnant women were exluded. The aim of the intervention was to investigate the effectiveness of providing training in infant feeding guidelines to health workers at public primary care health centers on various child health outcomes. The intervention was effective in reducing sugar consumption in early childhood but there was no reduction in dental caries at age 3 years [12]. Other methodological details and previous results have been previously published [12-13]. At baseline, 715 mother-infant pairs were enrolled.

Follow-up evaluations

After 3 and 6 years, all children and their mothers evaluated at baseline were invited to participate in a further assessment. The data collection period for the first follow-up took place during 2011, and for the second follow-up in 2014. Follow-up visits, including oral examinations, took place in participants’ homes.

Data collection

For the present study, variables of interest included socioeconomic and demographic data at birth (baseline), clinical dental caries and dental trauma data at age 3 years, and OHRQoL at age 6 years. Socioeconomic and demographic data were collected through interviewer-administered, closed-ended structured questionnaires. Oral examinations followed protocols standardized by the World Health Organization for oral health surveys [14].

Dental caries was assessed at age 3 years in participants’ homes using the decayed, missing, or filled teeth index for primary dentition (dmft index) [14]. After the teeth were brushed and dried with gauze, two trained and calibrated examiners performed the dental clinical examination with the help of a lighted intra-oral mirror. Non-cavitated caries lesions were recorded but not included in this analysis due to low expected progression and impact on OHRQoL over time, as suggested by a previous cohort study in a similar age group [4,15]. For data analysis, children were categorized as without cavitated caries lesions (dmft =0), low severity (dmft = 1), medium severity (dmft= 2-4) and high severity (dmft ≥ 5). The severity categories were defined from the empirical distribution of children in this sample, dividing the number of children with dmft >0 into three similarly sized groups. Furthermore, children were also categorized according to the dental arch segment affected by caries lesions (without caries, anterior [incisors and canines only], posterior [molars only], and anterior and posterior). The inter- and intra-examiner reproducibility values for dental caries were κ= 0.75 and κ= 0.83, respectively.

At age 6 years, caregivers answered the Brazilian version of the Early Childhood Oral Health Impact Scale (ECOHIS) [16,17] to measure the OHRQoL of their children, the main outcome variable of this study. This instrument contains 13 questions in six domains. The instrument has two sections: 1) the child impact section; and 2) family impact section. Response to each item is coded on a Likert scale: 0 = never; 1 = almost never; 2 = occasionally; 3 = frequently; 4 = very often, and don't know (later categorized as non-response) [20]. Printed cards with answer options were displayed while the interviewer read each question, as recommended in the literature [16]. In addition, the item referring to missing school was modified to include impact on daily activities such as running, playing, and jumping [17]. Responses were summed to total ECOHIS scores, ranging from 0 to 52. Higher scores represent worse OHRQoL.

Demographic and socioeconomic variables as well as traumatic dental injuries were collected as possible confounders factors. At baseline, demographic variables included maternal age (in years) and child's sex (boy or girl). Socioeconomic variables included maternal education, family structure, household income, and social class. Maternal education was collected in complete years of education and categorized into <8, 8-10, and >10 years of formal education. Family structure was evaluated according to composition as nuclear (0= child living with both parents) or non-nuclear (1= living with only one parent or another person). Household income was measured in reais (Brazilian currency) and categorized according to Brazilian Minimum Wages (BMW, equivalent to US$ 211 monthly) as < 2 BMW or ≥ 2 BMW. Social class measured and categorized following criteria of the Brazilian Association of Market Survey Institutes (ANEP – ABIPEME), which includes five levels (A1, A2, B1, B2, C, D, E) [18], subsequently categorized as ≤ C (lower socioeconomic status) or ≥ B (higher socioeconomic status). At age 3 years, clinical evaluations of dental trauma were recorded according to the Andreasen classification [19] and categorized into the presence or absence of clinical signs of dental trauma.

Data analysis

Data analysis was performed using SPSS version 20.0 (IBM). A post-hoc power calculation demonstrated 80% power of the present study population to detect a difference in OHRQoL scores of 1.8 between children with and without dental caries lesions. A descriptive analysis of the sample according to demographic, socioeconomic, and clinical characteristics was performed. Participants followed and lost to follow-up were compared using chi-square tests and t-tests.

Total ECOHIS score and specific ECOHIS domain scores were compared between children with and without cavitated caries lesions at age 3 years, according to the segments affected by dental caries (anterior and posterior), and dmft severity (0, 1, 2-4, and ≥ 5) using Mann-Whitney and Kruskal-Wallis tests. The same tests were used to compare the total ECOHIS scores between categories of the adjustment variables, using Bonferroni's correction for variables with three or more categories. Subsequently, multivariable adjusted Poisson regression analysis with robust variance was performed. Two multivariable models were run: a model with adjustment only for demographic and socioeconomic variables and another for demographic, socioeconomic, and oral health variables, as proposed by the hierarchical approach [20]. Considering that the mean number of affected teeth varied according to the segment, the comparison between the segments was also adjusted for the number of teeth affected by caries. The allocation group in the original trial (intervention or control) was used as an adjustment variable in all models. The results are presented as the ratio of ECOHIS scores between the groups with 95% confidence intervals (95% CI).

The study was approved by research ethics committees of the Federal University of Health Sciences of Porto Alegre and the University of California Berkeley. After investigators explained the study protocol, mothers signed an informed consent form.

RESULTS

Of the 715 mothers evaluated at baseline, 475 (cohort retention: 66.4%) and 337 (cohort retention: 47.1%) were evaluated after 3 and 6 years, respectively. The final sample consisted of 277 children who were evaluated at 3 and 6 years for the variables of interest in this study (Figure 1). Losses to follow-up were mainly due to changes of address or study withdrawal. There were no meaningful differences in baseline characteristics between participants followed and lost to follow-up; maternal education was statistically significantly but not meaningfully lower among dropouts (p = 0.03).

Figure 1.

Figure 1.

Cohort study flowchart.

The sample characteristics for children evaluated at 3 and 6 years were similar (Table 1). The study population was predominantly of low socioeconomic status as measured by educational attainment and social class. At age 3 years, more than one-third (37.5%) of children presented with dental caries; 22.4% of children presented with dental caries lesions in anterior teeth and 29.2% in posterior teeth. The dmft index ranged from 1 to 15, with a mean of 1.3 (SD 2.6).

Table 1.

Demographic, socioeconomic and clinical characteristics for children evaluated at childbirth and 3 years old (initial cohort) and at 6 years old (analytic sample), Porto Alegre, Brazil

Variables Initial cohort
(n=458)
Analytic sample
(n=277)
% mean (SD) % mean (SD)
Maternal characteristics
Age at childbirth (years) 25.9 (6.6) 25.6 (6.4)
Education attained (years) 8.5 (2.7) 8.8 (2.4)
Social class1 ≤ C 78.2 77.3
Child characteristics
Sex (boys) 50.8 51.3
Birth weight (g) 3,288 (516) 3,297 (529)
Length at birth (cm) 49.0 (2.5) 49.0 (2.5)
dmft ≥1 at 3 years old 39.5 37.5
1

Brazilian Association of Economic Research Institutes classification system; C or below indicates greater socioeconomic disadvantage; SD, standard deviation; g, grams; cm, centimeters; dmft, decayed, missing and filled teeth.

The overall and specific domains of ECOHIS scores at age 6 years were strongly associated with dental caries status at age 3 years (Table 2). ECOHIS scores ranged from 0 to 33 with a mean of 3.2 (SD 5.2), and 49.5% of caregivers reported some OHRQOL impact (score ≥ 1). Total and specific domains of ECOHIS scores were higher among children with any caries lesions than among children with none and were the highest among children with the highest scores on the dmft index.

Table 2.

Distribution of overall and specific domains of ECOHIS scores at age 6 years according to dental caries status at age 3 years

Variables Symptoms Function Psychological Self-image Parent distress Family function ECOHIS
Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD)
Total 0.6 (1.0) 0.7 (1.5) 0.3 (1.0) 0.2 (0.8) 1.2 (2.2) 0.2 (0.7) 3.2 (5.2)
Dental caries
 Absent 0.3 (0.7) 0.3 (1.0) 0.1 (0.4) 0.1 (0.4) 0.4 (1.2) 0.1 (0.3) 1.2 (2.8)
 Present 1.1 (1.2) 1.2 (1.9) 0.7 (1.4) 0.4 (1.1) 2.5 (2.7) 0.5 (1.0) 6.4 (6.5)
p-value1 <0.001 <0.001 <0.001 0.002 <0.001 <0.001 <0.001
dmft index
 0 0.3 (0.6) 0.3 (1.0) 0.1 (0.4) 0.1 (0.4) 0.4 (1.2) 0.1 (0.3) 1.2 (2.8)
 1 0.8 (1.3) 0.9 (1.7) 0.3 (1.0) 0.2 (0.7) 1.1 (1.9) 0.3 (0.9) 3.7 (5.4)
 2-4 1.1 (1.3) 1.2 (2.2) 0.8 (1.7) 0.2 (0.8) 2.4 (2.7) 0.6 (1.2) 6.4 (7.2)
 ≥ 5 1.4 (1.1) 1.5 (1.8) 0.8 (1.4) 0.8 (1.6) 3.8 (2.8) 0.6 (0.9) 8.9 (5.6)
p-value2 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
Anterior dental caries
 Absent 0.5 (1.0) 0.6 (1.4) 0.3 (0.9) 0.1 (0.6) 0.7 (1.7) 0.2 (0.6) 2.4 (4.7)
 Present 0.9 (1.1) 1.0 (1.6) 0.4 (1.1) 0.5 (1.3) 2.7 (2.8) 0.4 (0.8) 5.9 (6.0)
p-value1 0.002 0.024 0.057 0.001 <0.001 0.001 <0.001
Posterior dental caries
 Absent 0.3 (0.7) 0.3 (1.1) 0.1 (0.4) 0.1 (0.4) 0.5 (1.4) 0.1 (2.9) 1.4 (3.0)
 Present 1.3 (1.3) 1.4 (2.0) 0.8 (1.6) 0.5 (1.3) 2.9 (2.7) 0.7 (1.1) 7.6 (6.6)
p-value1 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001

SD, standard deviation; ECOHIS, Early Childhood Oral Health Impact Scale; dmft, decayed. missing and filled teeth

1

Mann-Whitney U-test

2

Kruskal-Wallis test

ECOHIS scores were distributed such that children with more caries-affected teeth and with dental caries lesions in both the posterior and anterior sections at age 3 years experienced the greatest OHRQoL impact at age 6 years (Figure 2). All children with 6 or more affected teeth reported some OHRQOL impact (score ≥ 1). The category of greatest QHRQoL impact (ECOHIS ≥ 9) was uncommon among children with only anterior caries lesions but comprised one-third of children with posterior caries lesions and nearly half of children with both anterior and posterior lesions (Figure 2).

Figure 2. Distribution of ECOHIS scores according to the caries-affected dental segment and number of teeth with dental caries lesions1.

Figure 2.

1 dmft 3 to 4, 6 to 7 and ≥ 8 were collapsed to allow at least 10 children in each category

After adjustment for maternal and child variables, associations persisted such that children with dental caries lesions in both anterior and posterior teeth, with caries lesions only in posterior teeth, and children with higher total dmft index experienced the worse OHRQoL (Table 3). In the fully-adjusted model, children with dental caries only in anterior teeth, only in posterior teeth, and in both segments presented overall ECOHIS scores of 2.7, 7.8 and 6.3 times greater than children without dental caries, respectively. Similarly, overall ECOHIS scores were 2.6, 4.7, and 6.5 times greater in children with one dental caries lesion, 2-4 lesions, and 5 or more lesions than in children without caries lesions, respectively. Additional sensitivity analysis with adjustment for the occurrence of exfoliation of anterior deciduous teeth indicated that the estimates remained similar.

Table 3.

Unadjusted and adjusted associations between dental caries at age 3 years and overall ECOHIS scores at age 6 years

Variables Unadjusted model Adjusted (Model 1)1 Adjusted (Model 2)2
Ratio 95% CI p-value Ratio 95% CI p-value Ratio 95% CI p-value
Dental Segment Affected
 Without caries lesions 1.00 (reference) 1.00 (reference) 1.00 (reference)
 Anterior teeth only 1.74 (0.77-3.91) 0.179 1.69 (0.75-3.78) 0.214 2.69 (1.15-6.29) 0.023
 Posterior teeth only 5.64 (3.58-8.90) <0.001 5.18 (3.30-8.12) <0.001 7.80 (4.68-13.00) <0.001
 Anterior and posterior teeth 6.53 (4.35-9.80) <0.001 6.15 (4.04-9.36) <0.001 6.30 (4.07-9.77) <0.001
dmft
 0 1.00 (reference) 1.00 (reference) 1.00 (reference)
 1 2.93 (1.60-5.36) <0.001 2.65 (1.44-4.89) 0.002 2.62 (1.42-4.81) 0.002
 2-4 5.11 (3.11-8.38) <0.001 4.75 (2.95-7.65) <0.001 4.73 (2.93-7.65) <0.001
 ≥ 5 7.11 (4.78-10.59) <0.001 6.65 (4.40-10.06) <0.001 6.48 (4.23-9.93) <0.001

CI, confidence interval

1

Model 1: adjusted for maternal variables (demographic and socioeconomic) and intervention group allocation in nesting clinical trial

2

Model 2: adjusted for maternal variables (demographic and socioeconomic), intervention group allocation, plus child variables (sex and dental trauma) and, for analysis of affected dental segment, total number of dental caries lesions.

DISCUSSION

This study aimed to evaluate the impact of the number and location (anterior or posterior) of dental caries lesions in the primary teeth on OHRQoL throughout early childhood. The findings of the study partially confirmed the conceptual hypothesis. Higher OHRQoL scores were observed among children with a greater number of caries affected teeth, as expected. Contrary to hypothesis, OHRQoL was more affected by dental caries lesions in the posterior segment than anterior segment. Previous studies have reported the association between the location of dental caries lesions, as well as the severity, with OHRQoL [10,11]. However, to our best knowledge, the longitudinal assessment of these factors has not previously been explored.

Dental caries lesions were associated with worse OHRQoL regardless of location in the mouth. However, lesions in the posterior segment presented three times greater impact compared to the anterior ones. Several considerations may contribute to this finding. Dental caries lesions in the anterior segment are primarily associated with nutritious sucking habits and occur in the early years of life [9,21,22]. At age 6 years, when the outcome of the present study was collected, dental caries lesions in the posterior teeth may be a more relevant cause of pain, compromising child and family wellbeing. Furthermore, by this age, parents and children may have adapted to presumably longer-standing anterior lesions that plausibly began during bottle-feeding on these earlier-erupted teeth. Disease resilience and adaptability increase over time, potentially lessoning impact on OHRQoL [23,24].

Another explanation is that anterior dental caries lesions, despite being more visible, may have a limited impact on the social wellbeing of the family and child, whose stage of social and cognitive development is just beginning conscious social interaction [25]. In the present study, all ECOHIS domains were affected by dental caries lesions in the posterior segment, while the anterior segment did not impact the child's psychological domain, in agreement with previous studies [11]. Thus, impacts on OHRQoL were mainly related to dental pain and family function, which was more linked to the posterior segment in this sample. While differential OHRQoL impacts by domain may partially explain the differences in total ECOHIS scores observed between anterior and posterior teeth, a definitive explanation remains elusive. Only two previous studies have compared ECOHIS scores between segments, and the results were divergent [10,11].

Compared to children without caries, OHRQoL scores doubled in children with one lesion, quadrupled in those with 2 to 4 lesions, and were six times higher in children with five or more lesions, a clear disease gradient of worsening of quality of life. This finding mirrors well documented social gradients in oral health [3, 26]. Individuals of low socioeconomic status are more susceptible to multiple risk factors that affect general and oral health, such as less access to services, the practice of unhealthy behaviors, and greater psychosocial stress [26]. Similarly, low socioeconomic status has been closely associated with worse OHRQoL [27]. In the context of worse OHRQoL at each level of caries experience, even if complete dental caries prevention is not achieved, any reduction in the number of caries lesions experienced has the potential to reduce negative OHRQoL impact.

Previous findings reported that deeper caries lesions have a greater OHRQoL impact than moderate or non-cavitated lesions [4,28]. Fewer studies have compared child OHRQoL according to the number of teeth affected by caries [1,29,30]. In a cohort study of Brazilian preschool children, a greater number of new dental caries lesions in two years had a greater impact on OHRQoL [30]. The results of our present analysis suggest that both the number of affected teeth and where in the mouth those teeth are located are predictive of OHRQoL longitudinally.

Clinical implications emerge from our findings. The natural history of dental caries in early childhood shows that the maxillary incisors are often the first teeth to be affected, and the lesions, in general, are associated with behaviors such as using bottles for liquids containing sugar. Posterior teeth erupt between 12 and 24 months, and depending on the frequency of consumption of sugary foods or beverages, they may present with caries lesions soon after eruption, being heavily affected thereafter [9,31]. There is a need to guide and support caregivers in controlling plaque in primary molars soon after their eruption, as well as reducing consumption of sugary foods and beverages. Oral health service delivery demands special human and material resources to manage posterior teeth lesions in young children. Dental sealant application can effectively prevent initial lesions in posterior teeth but is a more sensitive technique that requires more training than gel or fluoride varnish application, the strategies of choice for anterior teeth [9, 32,33]. Dentin caries lesions are usually controlled in anterior teeth with the application of silver diamine fluoride, but in posterior teeth such lesions more often require restorative treatment [9,34] However, there are substantial limits to addressing oral health quality of life through dental service delivery. Children with 5 or more caries-affected teeth all experienced some negative quality of life impact in this study, and widespread occurrence of that level of disease experience in the population is well beyond the service delivery capacity of most countries, where most caries lesions in childhood remain untreated [6,35]. Broadly, there remains an unmet need for strong prevention-focused public policies to improve population oral health, reduce oral health inequalities, and preserve child wellbeing.

This study has some limitations. The location and number of caries-affected teeth is unlikely to remain constant over time. Thus, children without caries lesions or with lesions limited to the anterior region at age 3 years could develop new posterior lesions by age 6 years. We theorize the results demonstrate that general patterns of caries at an earlier age persist over time, exerting an OHRQoL impact that may not be fully realized until months or years of disease experience. Any children classified as anterior-only or without caries lesions who later developed posterior caries lesions would presumably make it more difficult to discern differential OHRQoL impacts by segment, suggesting the present result may understate underlying differences by segment. Losses to follow-up were substantial, although not atypical of similar studies of preschool children [13]. While attrition is a potential threat to the representativeness of our sample, the aggregate sample characteristics at 3 and 6-year follow-up remained similar. Our sample is representative of a population reliant on public health medical facilities, a less advantaged group to whom public policies should be directed. As strengths, this longitudinal study assessed relevant issues from the patient's perspective in an important developmental period, since adverse conditions in early childhood can have impacts throughout the life course [36].

In conclusion, our findings demonstrated that dental caries lesions in anterior and posterior segments impacted the children's OHRQoL, with a greater impact arising from posterior teeth. Furthermore, each higher number of teeth affected by caries lesions in early childhood was associated with worse OHRQoL over time. Both clinical and policy efforts to prevent and manage dental caries from an early age, particularly when molars are affected, are critical to reduce long-term adverse quality of life impacts.

Acknowledgements

The Federal University of Health Sciences of Porto Alegre Nutrition Research Group (NUPEN) contributed to participant recruitment, data collection, and data management. The authors also thank all the mother-child pairs and Public Health Centers of Porto Alegre for their participation in this project.

Funding information

Funding was received from the Brazilian Ministry of Health (No.577/200), National Council for Scientific and Technological Development (MCTI/CNPq No 14/2013-47731/2013-8), the Coordination for the Improvement of Higher Education Personnel (CAPES), and the United States National Institutes of Health (F30 DE022208).

Footnotes

Conflicts of Interest statement

The authors declare that they have no conflict of interest.

References

  • 1.Kramer PF, Feldens CA, Ferreira S, Bervian J, Rodrigues PH, Peres MA. Exploring the impact of oral diseases and disorders on quality of life of preschool children. Community Dent Oral Epidemiol. 2013;41: 327–35. [DOI] [PubMed] [Google Scholar]
  • 2.Abanto J, Tsakos G, Paiva SM, Carvalho TS, Raggio DP, Bönecker M. Impact of dental caries and trauma on quality of life among 5-to 6-year-old children: perceptions of parents and children. Community Dent Oral Epidemiol. 2014; 42: 385–94. [DOI] [PubMed] [Google Scholar]
  • 3.Chaffee BW, Rodrigues PH, Kramer PF, Vítolo MR, Feldens CA. Oral health-related quality-of-life scores differ by socioeconomic status and caries experience. Community Dent Oral Epidemiol. 2017;45: 216–24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Guedes RS, Ardenghi TM, Piovesan C, Emmanuelli B, Mendes FM. Influence of initial caries lesions on quality of life in preschool children: a 2-year cohort study. Community Dent Oral Epidemiol. 2016;44: 292–300. [DOI] [PubMed] [Google Scholar]
  • 5.Piva F, Pereira JT, Luz PB, Hugo FN, de Araújo FB. Caries progression as a risk factor for increase in the negative impact on OHRQOL—a longitudinal study. Clin Oral Investig. 2018;22: 819–28. [DOI] [PubMed] [Google Scholar]
  • 6.Tinanoff N, Baez RJ, Diaz Guillory C, Donly KJ, Feldens CA, et al. Early childhood caries epidemiology, aetiology, risk assessment, societal burden, management, education, and policy: Global perspective. Int J Paediatr Dent. 2019;29:238–48. [DOI] [PubMed] [Google Scholar]
  • 7.Phantumvanit P, Makino Y, Ogawa H, Rugg-Gunn A, Moynihan P, Petersen PE, et al. WHO Global Consultation on Public Health Intervention against Early Childhood Caries. Community Dent Oral Epidemiol. 2018;46:280–7. [DOI] [PubMed] [Google Scholar]
  • 8.Hallett KB, O'Rourke PK. Pattern and severity of early childhood caries. Community Dent Oral Epidemiol 2006;34: 25–35. [DOI] [PubMed] [Google Scholar]
  • 9.World Health Organization. WHO Expert Consultation on Public Health Intervention against Early Childhood Caries. Geneva: World Health Organization; 2017. [Google Scholar]
  • 10.Gomes MC, de Almeida Pinto-Sarmento TC, de Brito Costa EMM, Martins CC, Granville-Garcia AF, Paiva SM. Impact of oral health conditions on the quality of life of preschool children and their families: a cross-sectional study. Health Qual Life Outcomes. 2014;12: 55. DOI: 10.1186/1477-7525-12-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ramos-Jorge J, Alencar BM, Pordeus IA, Soares MEDC, Marques LS, Ramos-Jorge ML, et al. Impact of dental caries on quality of life among preschool children: emphasis on the type of tooth and stages of progression. Eur J Oral Sci. 2015;123:88–95. [DOI] [PubMed] [Google Scholar]
  • 12.Chaffee BW, Feldens CA, Vítolo MR.Cluster-randomized trial of infant nutrition training for caries prevention. J Dent Res. 2013;92:29S–36S. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Peres KG, Thomson WM, Chaffee BW, Peres MA, Birungi N, Do LG, et al. Oral Health Birth Cohort Studies: Achievements, Challenges, and Potential. J Dent Res. 2020;99:1321–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.World Health Organization. Oral Health Surveys: Basic Methods. Vol 1. 4th ed. Geneva: WHO Press; 1–66, 1997. [Google Scholar]
  • 15.Guedes RS, Piovesan C, Floriano I, Emmanuelli B, Braga MM, Ekstrand KR, et al. Risk of initial and moderate caries lesions in primary teeth to progress to dentine cavitation: a 2-year cohort study. Int J Paediatr Dent. 2016;26:116–24. [DOI] [PubMed] [Google Scholar]
  • 16.Pahel BT, Rozier RG, Slade GD. Parental perceptions of children's oral health: the Early Childhood Oral Health Impact Scale (ECOHIS). Health Qual Life Outcomes. 2007;5:6. DOI: 10.1186/1477-7525-5-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Scarpelli AC, Paiva SM, Viegas CM, Carvalho AC, Ferreira FM, Pordeus IA. Oral health-related quality of life among Brazilian preschool children. Community Dent Oral Epidemiol. 2013;41: 336–44. [DOI] [PubMed] [Google Scholar]
  • 18.ABIPEME CB. Instrumento para definir a classe social da população. http://www.abipeme.org.br. Accessed 12 Nov 2021.
  • 19.Andreasen JO, Bakland L, Flores MT, Andreasen FM, Andersson L. Traumatic dental injuries. A manual, 3rd edn. Chichester, UK: Wiley-Blackwell, 2011. [Google Scholar]
  • 20.Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26:224–7. [DOI] [PubMed] [Google Scholar]
  • 21.Feldens CA, Giugliani ERJ, Vigo A, Vítolo MR. Early feeding practices and severe early childhood caries in four-year-old children from southern Brazil: a birth cohort study. Caries Res. 2010;44:445–52. [DOI] [PubMed] [Google Scholar]
  • 22.Gussy M, Ashbolt R, Carpenter L, Virgo-Milton M, Calache H, Dashper S et al. Natural history of dental caries in very young Australian children. Int J Paediatr Dent. 2016;26:173–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Antonovsky A Unraveling mystery of health: how people manage stress and stay well. San Francisco, CA: Jossey-Bass, 1987. [Google Scholar]
  • 24.Tomazoni F, Vettore MV, Mendes FM, Ardenghi TM. The Association between Sense of Coherence and Dental Caries in Low Social Status Schoolchildren. Caries Res. 2019;53:314–21. [DOI] [PubMed] [Google Scholar]
  • 25.Malik F, Marwaha R. Developmental Stages of Social Emotional Development In Children. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2021. Jan. [PubMed] [Google Scholar]
  • 26.Sisson KL. Theoretical explanations for social inequalities in oral health. Community Dent Oral Epidemiol. 2007;35:81–88. [DOI] [PubMed] [Google Scholar]
  • 27.Knorst JK, Sfreddo CS, de F Meira G, Zanatta FB, Vettore MV, Ardenghi TM. Socioeconomic status and oral health-related quality of life: A systematic review and meta-analysis. Community Dent Oral Epidemiol. 2021;49:95–102. [DOI] [PubMed] [Google Scholar]
  • 28.Pesaressi E, Villena RS, Frencken JE. Dental caries and oral health-related quality of life of 3-year-olds living in Lima, Peru. Int J Paediatr Dent. 2020;30:57–65. [DOI] [PubMed] [Google Scholar]
  • 29.Martins-Júnior PA, Vieira-Andrade RG, Corrêa-Faria P, Oliveira-Ferreira F, Marques LS, Ramos-Jorge ML. Impact of early childhood caries on the oral health-related quality of life of preschool children and their parents. Caries Res. 2013;47: 211–18. [DOI] [PubMed] [Google Scholar]
  • 30.Guedes RS, Ardenghi TM, Emmanuelli B, Piovesan C, Mendes FM. Sensitivity of an oral health-related quality-of-life questionnaire in detecting oral health impairment in preschool children. Int J Paediatr Dent. 2018;28:207–16. [DOI] [PubMed] [Google Scholar]
  • 31.Feldens CA, Rodrigues PH, de Anastácio G, Vítolo MR, Chaffee BW. Feeding frequency in infancy and dental caries in childhood: a prospective cohort study. Int Dent J. 2018;68: 113–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Urquhart O, Tampi MP, Pilcher L, Slayton RL, Araujo MWB, Fontana M, et al. Nonrestorative Treatments for Caries: Systematic Review and Network Meta-analysis. J Dent Res. 2019;98:14–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Honkala S, ElSalhy M, Shyama M, Al-Mutawa SA, Boodai H, Honkala E. Sealant versus Fluoride in Primary Molars of Kindergarten Children Regularly Receiving Fluoride Varnish: One-Year Randomized Clinical Trial Follow-Up. Caries Res. 2015;49:458–66. [DOI] [PubMed] [Google Scholar]
  • 34.Fung MHT, Duangthip D, Wong MCM, Lo ECM, Chu CH. Arresting Dentine Caries with Different Concentration and Periodicity of Silver Diamine Fluoride. JDR Clin Trans Res. 2016;1:143–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Kassebaum NJ, Bernabé E, Dahiya M, Bhandari B, Murray CJ, Marcenes W. Global burden of untreated caries: a systematic review and metaregression. J Dent Res. 2015;94:650–8. [DOI] [PubMed] [Google Scholar]
  • 36.Holst D, Schuller AA. Oral health in a life-course: birth-cohorts from 1929 to 2006 in Norway. Community Dent Health. 2012;29:134–43. [PubMed] [Google Scholar]

RESOURCES