SciELO - Scientific Electronic Library Online

 
vol.52Individual and contextual factors associated to the self-perception of oral health in Brazilian adultsAdherence to physical activity in adults with chronic diseases: ELSA-Brasil author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Revista de Saúde Pública

Print version ISSN 0034-8910On-line version ISSN 1518-8787

Rev. Saúde Pública vol.52  São Paulo  2018  Epub Apr 09, 2018

http://dx.doi.org/10.11606/s1518-8787.2018052000093 

Artigo Original

Effect of dental pain and caries on the quality of life of Brazilian preschool children

Maria do Carmo Matias FreireI 

Patrícia Corrêa-FariaII 

Luciane Rezende CostaI 

IUniversidade Federal de Goiás. Faculdade de Odontologia. Departamento de Saúde Oral. Goiânia, GO, Brasil

IIUniversidade Federal de Goiás. Faculdade de Odontologia. Programa de Pós-Graduação em Odontologia. Goiânia, GO, Brasil


ABSTRACT

OBJECTIVE

To investigate the impact of dental pain on daily performances among five-year-old Brazilian children.

METHODS

The study used data of 7,280 five-year-old children participating in the 2010 Brazilian Oral Health Survey (SBBrasil 2010 Project). Children were clinically examined and their parents or carers were interviewed at their homes. The outcome was the prevalence of the oral impacts on daily performance, and the explanatory variable was dental pain in the last six months. Other independent variables were children’s gender and skin color/race, family income, household overcrowding, and caries experience (dmft). Rao-Scott test and Poisson regression for complex samples were carried out.

RESULTS

The prevalence of impacts on daily performances was 26.1% (95%CI 22.3–30.2). Significant associations were found between the outcome and pain, caries experience, and sociodemographic variables. After adjusting for the independent variables, only pain and caries remained significant. Impacts on daily performances were more frequent among children with pain (PR = 1.14, 95%CI 1.06–1.23) compared to those without pain. Children with low dmft (PR = 1.90, 95%CI 1.39–2.60) and those with high dmft (PR = 3.53, 95%CI 2.78–4.49) had a higher prevalence of impact than those with no caries experience.

CONCLUSIONS

Dental pain and caries had strong negative impacts on the five-year-old children’s daily performances regardless of their demographic and socioeconomic characteristics.

Key words: Child, Preschool; Toothache, epidemiology; Dental Caries, epidemiology; Socioeconomic Factors; Quality of Life; Dental Health Surveys

INTRODUCTION

Assessment of the psychological well-being in addition to clinical evaluation has been proposed to provide a better understanding of the impact of oral health problems on people’s lives 1 . The sociodental approach has attracted growing interest and in recent years several studies have been carried out on oral health-related quality of life (OHRQoL). While the impact of oral diseases, mainly dental caries, has been investigated in preschool children 2–10 , there are currently few studies on the impact of dental pain in this age group.

Dental pain prevalence in preschool children varies from approximately 7.0% to 22.0% 3,11–16 , and given its impact on children and families as well as the possibility of it being preventable and treated, it can be seen as a major public health problem. Differences in the prevalence rates reported are due to diverse study designs and instruments used to collect data, as assessing pain in young children is a difficult task even for experienced dentists and it is extremely dependent on parental or carers’ perceptions.

Dental caries and dental pain are strongly related 11,12,15 , although not all children with caries experience report pain or any impact on their oral health-related quality of life (OHRQoL) 14,17 . A birth cohort study with 1,129 five-year-old children showed a prevalence ratio of 4.8 (95%CI 3.3–7.1) for children with high caries occurrence reporting dental pain 13 . In other studies with three- to five-year-olds attending preschools, pain but not caries was associated with a negative impact on OHRQoL, especially on eating and drinking, whilst high-severity caries negatively impacted speech 3,18 .

The aforementioned studies assessed the impact of dental caries/pain on the OHRQoL in non-representative samples of children seeking dental treatment 2 , attending nurseries 6 or participating in immunization campaigns 8,11 , or explored OHRQoL in representative samples limited to specific regions 4,5,7,9,10,12,18 . To the best of our knowledge, there is no investigation about the impact of dental pain on the quality of life of preschool children in a large national data. In fact, the United Kingdom’s 2003 Children’s Dental Health Survey showed that the most frequently reported oral impact that parents are aware of in their children is pain, but they did not investigate in depth the association between dental pain and OHRQoL in five-year-old children 14 , which is also true for the 2013 survey 19 .

Results from national data can give a more comprehensive overview of the burden of dental diseases and strongly support the recommendation of policies that prioritize the solving of dental pain in young children. This is a frequently neglected age group in primary care and there is evidence that many children leave a dental consultation without receiving any oral procedure for pain relief 20 .

Studies based on the Brazilian 2010 National Survey of Oral Health data reported that dental pain and caries prevalence in five-year-old children were high and influenced by contextual and individual factors 15,21 . In the same survey, the Oral Impacts on Daily Performance (OIDP) was investigated for the first time, in an attempt to integrate psychological well-being measures with oral health surveillance. However, the association between quality of life, dental pain and dental caries in this group remain little explored.

A better understanding of the role of clinical and subjective measures of oral health on young children and their families’ quality of life is therefore needed. Previous studies focusing on representative samples of cities from different countries have included children attending preschools or immunization campaigns 2–12,18 ; this may have excluded the most vulnerable population. Conclusions from a national survey can have more external validity than other representative samples from specific locations, and then provide relevant data for policies on dental care for preschool children. Based on the evidence from previous studies regarding OHRQoL in specific groups 2–12,18 , we have hypothesized that both dental caries and pain strongly affect the daily performances of this age group. Results may lead to more appropriate health promotion measures towards reducing the burden of caries and its consequences in the primary dentition, which has generally received little attention worldwide. They may be also useful to evaluate oral health programs addressed to young children.

The objective of this study was to investigate the impact of dental pain on daily performances among five-year-old Brazilian children, using national epidemiologic data.

METHODS

Study Design and Sample

The data for this cross-sectional study were extracted from the database of the 2010 Brazilian Oral Health Survey conducted by the Ministry of Health and approved by the National Research Ethics Board 22 . This survey is also in accordance with the World Medical Association Declaration of Helsinki. Children’s parents or carers were previously informed about the study and asked to sign a consent form.

The sample size calculation for the 2010 survey was based on dental caries levels and resulted in at least 8,000 five-year-old children. Participants were selected using a probabilistic cluster sampling in the 27 capital cities and a random sample of 150 country towns of the five Brazilian regions. More detailed information on the National Survey has been presented elsewhere 15,22 .

Data Collection

Teams constituted by a previously calibrated examiner and a recorder collected data through interviews and oral examinations at the selected families’ residences.

The dependent variable of this study was the parents’ or carers’ perceptions of their children’s oral health impact in their lives in the past six months as assessed by an abbreviated format of the OIDP. This OHRQoL indicator was initially developed for adults 23 and a validated Brazilian version is not yet available, although it has been extensively used. Due to the difficulties inherent to large epidemiological surveys, the same instrument was used for all age groups included (children, adolescents, adults and the elderly). For the five-year-old children, the following question regarding the OIDP was initially asked to the parents: “Some people have problems that can be caused by their teeth. Of the situations below, which have applied to your child in the last six months?” Questions included nine domains: eating and drinking, brushing teeth, feeling nervous, having leisure activities, practicing sports activities, speaking, smiling or talking, studying or doing school work, and sleeping. The response options were: “no”, “yes”, and “do not know or refused to answer”. The last was treated as missing information for each OIDP question. The participants who had presented at least one complaint were assigned to the category ‘impact on daily performance’, whereas the participants who had no complaints were assigned to the category ‘absence of impact’.

The explanatory independent variable was dental pain. Pain was evaluated through this question directed at the parent or carer: “Has your child felt dental pain in the last six months?” The response options were: “yes”, “no”, and “don’t know or can’t remember”. Only those who answered ‘yes’ or ‘no’ (n = 7,280) were included in the present analysis.

Caries experience in the deciduous teeth was evaluated according to the World Health Organization (WHO) criteria 24 . The following levels of decayed, missing, and filled teeth (dmft index) were considered for the analysis, based on tertiles of the frequency distribution: no caries (dmft = 0), low (dmft = 1 to 3) and high (dmft ≥ 4). Children were examined seated in front of the examiner under natural light, using plane mouth mirrors and WHO periodontal probes. The exams were performed by previously trained and calibrated dentists.

Other independent variables were demographic and socioeconomic: children’s gender and skin color/race, family income and household overcrowding. These were chosen because of their known association with dental caries and pain 15,21 . Sociodemographic factors were collected through a questionnaire answered by the parents or carers. The skin color/race was determined according to the criteria used in Brazil: white, black, pardo , yellow and indigenous 25 . Family income categories were based on the Brazilian currency and then converted to US dollars. The seven original categories for monthly family income in the original questionnaire were grouped by four, according to their frequencies, using a conversion rate of $1 US commercial dollar = $2.29 Brazilian Real (August 2014). Household overcrowding was the average number of dwellers per room used for sleeping in the children’s residences. Cut-off points for the last two variables were based on previous studies in the health field in Brazil 26 .

Statistical Analysis

Descriptive analysis of the studied variables was initially performed using frequency distribution. The sample weights were then considered in the next steps, using the ‘Complex Samples’ module of the IBM SPSS Statistics software, version 21.0 (IBM Corporation, Armonk, New York, USA) and Stata software, version 13.0 (Stata Corp., College Station, TX, USA). The association between the OIDP prevalence and the independent variable was tested through the Rao-Scott test, which is a correction to chi-square tests for complex samples. Association between dental pain and caries was also tested and showed collinearity between them.

The next step was to investigate the association between the presence of impact (OIDP), dental pain and other independent variables (skin color/race and family income) using Poisson regression with a robust variance for complex samples. Those variables that were significant in the bivariate analysis were included in multiple regression models. The significance level was 5%. Additionally, the presence of an interaction between dental caries and dental pain was tested.

RESULTS

A total of 7,348 children participated in this study (response rate = 91.8%). The children were predominantly boys (51.9%) and white (48.6%), and most of the families presented low income and high household overcrowding. Prevalence of dental pain was 22%. More than half of the children (54.1%) presented dental caries and 27.1% had high levels of the disease (dmft ≥ 4) ( Table 1 ). Mean dmft was 2.42 (SD = 3.36).

Table 1 Sociodemographic and clinical characteristics and reported dental pain of five-year-old children. Brazilian Oral Health Survey, 2010. 

Variable n a %
Gender (n = 7,348) a
Boys 3,673 51.9
Girls 3,675 48.1
Skin color/race (n = 7,348) a
White 3,290 48.6
Black 586 8.9
Pardo 3,274 39.2
Yellow (Asian descendants) 145 2.3
Indigenous 53 0.9
Family income (US$) (n = 7,002) a
≤ 218 1,537 21.8
219–656 3,754 52.9
657–1,093 1,034 17.0
≥ 1,094 677 8.3
Household overcrowding (n = 7,332) a
1 room or more/person 1,691 24.9
Less than 1 room/person 5,641 75.1
Dental pain (n = 7,280) a
No 5,760 78.0
Yes 1,520 22.0
Dental caries (n = 7,217) a
No 3,312 45.9
Low (dmft = 1–3) 1,948 27.0
High (dmft ≥ 4) 1,967 27.1

a Total valid samples without considering the sample weights.

The prevalence of oral health impacts on daily lives, measured by the OIDP index, was 26.1% (95%CI 22.3–30.2). The questions with the highest frequencies were those related to eating (14.0%) and brushing teeth (12.4%) ( Table 2 ).

Table 2 Frequency distribution of the oral impacts on daily performance (OIDP) answers in five-year-old children. Brazilian Oral Health Survey, 2010. 

Impaired performances because of teeth No 95%CI Yes 95%CI


n a (%) n a (%)
Difficulties in eating or felt dental pain while drinking cold or hot liquids 6,268 (86.0) 82.9–88.7 986 (14.0) 11.3–17.1
Discomfort while brushing teeth 6,416 (87.6) 85.1–89.7 841 (12.4) 10.3–14.9
Teeth made child nervous or angry 6,591 (90.3) 88.2–92.1 651 (9.7) 7.9–11.8
Child avoids leisure activities 6,938 (95.1) 93.7–96.2 311 (4.9) 3.8–6.3
Child avoids sports activities 7,040 (97.2) 96.2–98.0 193 (2.8) 2.0–3.8
Difficulty speaking 6,928 (94.0) 92.2–95.4 326 (6.0) 4.6–7.8
Child feels ashamed of smiling or talking 6,891 (94.4) 92.8–95.7 372 (5.6) 4.3–7.2
Difficulty studying or doing school work 6,983 (95.9) 94.5–97.0 270 (4.1) 3.0–5.5
Difficulty sleeping 6,742 (92.0) 89.9–93.6 517 (8.0) 6.4–10.1

a Total valid samples without considering the sample weights.

The results of bivariate analyses between presence of impact and the independent variables showed significant associations between the outcome and skin color/race (p = 0.015), family income (p = 0.001), dental pain (p < 0.001) and dental caries (p < 0.001) ( Table 3 ).

Table 3 Prevalence of oral impact on daily performances (OIDP) according to independent variables in five-year-old children. Brazilian Oral Health Survey, 2010. 

Variables Impact (OIDP)

No 95%CI Yes 95%CI p b


n a (%) n a (%)
Gender 0.372
Boys 3,673 (75.0) 75.0–79.5 882 (25.0) 20.5–30.1
Girls 3,675 (72.8) 68.1–77.0 894 (27.2) 23.0–31.9
Skin color/race 0.015
White 2,614 (76.5) 72.6–79.9 676 (23.5) 20.1–27.4
Black 426 (77.4) 64.1–86.8 160 (22.6) 13.2–35.9
Pardo 2,389 (70.2) 65.0–75.0 885 (29.8) 25.0–35.0
Yellow (Asian descendants) 111 (84.5) 64.3–94.3 34 (15.5) 5.7–35.7
Indigenous 21 (38.4) 17.1–65.2 21 (61.6) 34.8–82.9
Family monthly income (US$) 0.001
≤ 218 1,537 (63.7) 57.2–69.8 484 (36.3) 30.2–42.8
219–656 2,783 (72.2) 66.9–76.9 971 (27.8) 23.1–33.1
657–1,093 845 (85.0) 77.8–90.2 189 (15.0) 9.8–22.2
≥ 1,094 614 (84.4) 68.0–93.2 63 (15.6) 6.8–32.0
Household overcrowding 0.955
1 room or more/person 1,355 (74.1) 68.5–79.0 336 (25.9) 21.0–31.5
Less than 1 room/person 4,202 (73.9) 68.4–78.7 1,439 (26.1) 22.3–31.6
Dental pain ≤ 0.001
No 4,947 (84.6) 81.2–87.5 813 (15.4) 12.5–18.8
Yes 563 (35.0) 28.7–41.9 957 (65.0) 58.1–71.3
Dental caries ≤ 0.001
No 2,922 (87.6) 83.8–90.6 390 (12.4) 9.4–16.2
Low (dmft = 1–3) 1,510 (74.6) 68.5–79.9 438 (25.4) 20.1–31.5
High (dmft ≥ 4) 1,047 (50.3) 43.0–57.6 910 (49.7) 42.4–57.0

a Corrected for sample design.

b Rao-Scott test.

Values with statistical significance are shown in bold.

Table 4 shows the results of the unadjusted and adjusted Poisson regression analyses assessing the association between dental pain and the presence of impact. In the unadjusted analysis, children with dental pain (PR = 4.23, 95%CI 3.37–5.31) and those with caries experience had a higher prevalence of negative impact on quality of life. Pardo (PR = 1.26, 95%CI 1.06–1.51) and indigenous (PR = 2.62, 95%CI 1.71–4.00) children had a higher prevalence of impact compared to white children. Regarding family income, only those from the lowest category level had a higher prevalence (PR = 2.32, 95%CI 1.01–5.31) compared with the highest, approaching borderline significance at P = 0.047. When adjusted for the two sociodemographic variables (skin color/race and family income), dental pain and dental caries remained highly significant, although the PR estimates decreased. Children with dental pain had a higher prevalence of impact compared to those with no dental pain (PR = 1.14, 95%CI 1.06–1.23). Children with low dmft (PR 1.90, 95%CI 1.39–2.60), as well as those with high dmft (PR = 3.53, 95%CI 2.78–4.49) also had a higher prevalence of impact, compared to those with no caries experience. Family income and skin color/race were no longer associated with the outcome. The interaction between presence of dental caries and presence of pain was not significant (p = 0.989).

Table 4 Results of Poisson regression with robust variance analysis of the association between oral impact on daily performances (OIDP) in five-year-old children and independent variables. Brazilian Oral Health Survey, 2010. 

Independent variable Impact (no/yes)

Unadjusted Adjusted


PR 95%CI p PR 95%CI p
Dental pain
No 1 1
Yes 4.23 3.37–5.31 ≤ 0.001 1.14 1.06–1.23 ≤ 0.001
Skin color/race
White 1 1
Black 0.96 0.76–1.21 0.719 0.77 0.57–1.03 0.087
Pardo 1.26 1.06–1.51 0.010 1.05 0.87–1.27 0.600
Yellow (Asian descendants) 0.66 0.29–1.51 0.325 0.42 0.17–1.02 0.056
Indigenous 2.62 1.71–4.00 ≤ 0.001 1.51 0.83–2.75 0.176
Family income (US$)
≤ 218 2.32 1.01–5.31 0.047 1.57 0.70–3.51 0.267
219–656 1.78 0.77–4.11 0.178 1.32 0.59–2.97 0.491
657–1,093 0.96 0.41–2.21 0.916 0.81 0.35–1.88 0.638
≥ 1,094 1 1
Dental caries
No 1 1
Low (dmft = 1–3) 2.04 1.52–2.75 ≤ 0.001 1.90 1.39–2.60 ≤ 0.001
High (dmft ≥ 4) 4.01 3.20–5.02 ≤ 0.001 3.53 2.78–4.49 ≤ 0.001

PR: prevalence ratio

DISCUSSION

In this study, strong associations were found between dental pain as well as dental caries in five-year-old children and the impact on their daily performances, indicating that both conditions are important causes of poor quality of life in young children. These results are particularly relevant since this is the first analysis which considered OHRQoL as an outcome regarding pain and dental caries in a nationally representative sample of preschool children. They also corroborate previous investigations using other instruments developed for preschool children 2–12,18 .

One strength of this study is the use of a population-based sample with data collection in households, while in the previous local studies, the samples were school-based or included only children attending a national vaccination programme.

More than a quarter (26.1%) of the children were affected by their oral health condition in the six months preceding the data collection. A slightly lower frequency (21%) was reported in the UK’s Children’s Dental Health Survey 2013 19 , using the same time frame. Dental pain and caries prevalences were also higher in Brazil (22% 15 and 54.1%, respectively) than in the UK (14% and 31%, respectively) 19,27 . Other studies carried out in some municipalities in Brazil and in other countries have shown varied prevalences 3,5,6,9,11–16,18,28 . However, comparisons with other studies are not very meaningful, since they have employed different methodologies and age ranges.

The most prevalent impaired performances were those in the physical domain: difficulties in eating and brushing teeth. Results regarding eating difficulties corroborate previous studies in preschool children 2,4–6,18 . Gender was not associated with impact, as reported by other researchers in Brazil and in other countries 4,7,9,10 .

The higher prevalence of impact among children from families with low socioeconomic condition, measured by skin color and family income, highlights the persisting inequalities in oral health in the Brazilian population. However, the association between socioeconomic status and the presence of impact was strongly influenced by dental pain and caries experience. This effect was expected since caries is the main cause of dental pain among preschool children 13 . A study on the same sample shows that children with caries experience had a higher prevalence of pain than caries-free individuals 15,28 . Regarding skin color/race, the low prevalence of indigenous children in the sample may have influenced the non-significant results after controlling for other variables.

The results in the final statistical models indicate that pain and caries may affect children’s quality of life regardless of their socioeconomic conditions, but this is not a consensus in the literature 2,4,5,7,8–11,18 . On the other hand, a systematic review 29 showed that in most of the studies including children of various ages, those from families with higher levels of income and education, as well as lower household crowding had better OHRQoL. In the present study, the lack of other important socioeconomic variables in the databank, such as parents’ level of education, may have influenced the results 29 .

One of the limitations of the present study is inherent to the population group investigated, since the parents’ report may not totally correspond to their children’s real experience of impact 30 . Due to the low cognitive capacity of children under six, a more accurate measure of their quality of life remains a challenge.

Another aspect is the instrument used to measure OHRQoL. In the 2010 Brazilian Oral Health Survey, a single questionnaire, including the conventional OIDP index, was used to measure impacts on adults, the elderly, adolescents and children aged five and 12. Although an age-specific instrument for young children is already available – the Early Childhood Oral Health Impact Scale (ECOHIS) 31 –, its use in large population surveys such as the Brazilian survey will not always be feasible, since the need for multiple OHRQoL instruments would result in increased time and costs. Also, the Brazilian version of the ECOHIS was not available at the time of the national survey. It is noteworthy that other studies have employed other questionnaires than ECOHIS to assess the OHRQoL of preschool children 6,12 . Therefore, the use of an instrument not validated for young children may be a limitation and should be considered when comparing the present results with those from previous studies using the ECOHIS 11,12,18 . Another methodological aspect to be discussed is the adaptation made to the original OIDP scale. Although in the present study the possible answers of the questionnaire were only ‘yes’ or ‘no’, comparisons with previous studies were possible, since they have usually dichotomized the categories in that way for statistical analysis. On the other hand, the severity of the impact could not be estimated.

Continued efforts are therefore needed to decrease the high caries prevalence and severity among young Brazilian children, which may result in fewer cavities and less suffering. Since low socioeconomic groups are at higher risk of caries, further actions to reduce social inequalities would be appropriate in order to tackle the problem. Children’s oral health may also have a negative effect on their families as well as economic impact, considering the working days lost due to caries and pain. Therefore, children’s and their families’ perception of their oral health status should be considered an important component of oral health surveillance strategies, which would help understand the impact of oral health problems on their lives, estimate the real population needs and evaluate the results of public health interventions. Comparisons between the sociodental approach, using OHRQoL instruments, and the standard normative approach, based on clinical examinations, have shown that the use of the sociodental approach results in lower estimates of needs among children 17 .

Finally, specific education measures are also necessary to improve families’ and health services’ awareness of the importance of primary dentition, which has generally received little attention worldwide.

It was concluded that dental pain had a strong negative impact on the daily lives of five-year-old Brazilian children and that dental caries experience was also associated with impact.

REFERENCES

1. Sheiham A. Oral health, general health and quality of life. Bull World Health Organ . 2005;83(9):644. https://doi.org/10.1590/S0042-96862005000900004Links ]

2. Abanto J, Carvalho TS, Mendes FM, Wanderley MT, Bönecker M, Raggio DP. Impact of oral diseases and disorders on oral health-related quality of life of preschool children. Community Dent Oral Epidemiol . 2011;39(2):105-14. https://doi.org/10.1111/j.1600-0528.2010.00580.xLinks ]

3. Clementino MA, Gomes MC, Pinto-Sarmento TC, Martins CC, Granville-Garcia AF, Paiva SM. Perceived impact of dental pain on the quality of life of preschool children and their families. PLoS One . 2015;10(6):e0130602. https://doi.org/10.1371/journal.pone.0130602Links ]

4. Gomes MC, Pinto-Sarmento TC, Costa EM, 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. https://doi.org/10.1186/1477-7525-12-55Links ]

5. Kramer PF, Feldens CA, Ferreira SH, 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(4):327-35. https://doi.org/10.1111/cdoe.12035Links ]

6. Krisdapong S, Somkotra T, Kueakulpipat W. Disparities in early childhood caries and its impact on oral health-related quality of life of preschool children. Asia Pac J Public Health . 2014;26(3):285-94. https://doi.org/10.1177/1010539512438608Links ]

7. Li MY, Zhi QH, Zhou Y, Qiu RM, Lin HC. Impact of early childhood caries on oral health-related quality of life of preschool children. Eur J Paediatr Dent . 2015;16(1):65-72. [ Links ]

8. Martins-Junior PA, Vieira-Andrade RG, Correa-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(3):211-8. https://doi.org/10.1159/000345534Links ]

9. 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(4):336-44. https://doi.org/10.1111/cdoe.12022Links ]

10. Wong HM, McGrath CP, King NM, Lo EC. Oral health-related quality of life in Hong Kong preschool children. Caries Res . 2011;45(4):370-6. https://doi.org/10.1159/000330231Links ]

11. Ortiz FR, Tomazoni F, Oliveira MDM, Piovesan C, Mendes F, Ardenghi TM. Toothache, associated factors, and its impact on Oral Health-Related Quality of Life (OHRQoL) in preschool children. Braz Dent J . 2014;25(6):546-53. https://doi.org/10.1590/0103-6440201302439Links ]

12. Moura-Leite FR, Ramos-Jorge J, Ramos-Jorge ML, Paiva SM, Vale MP, Pordeus IA. Impact of dental pain on daily living of five-year-old Brazilian preschool children: prevalence and associated factors. Eur Arch Paediatr Dent . 2011;12(6):293-7. https://doi.org/10.1007/BF03262826Links ]

13. Boeira GF, Correa MB, Peres KG, Peres MA, Santos IS, Matijasevich A, et al. Caries is the main cause for dental pain in childhood: findings from a birth cohort. Caries Res . 2012;46(5):488-95. https://doi.org/10.1159/000339491Links ]

14. Nuttall NM, Steele JG, Evans D, Chadwick B, Morris AJ, Hill K. The reported impact of oral condition on children in the United Kingdom, 2003. Br Dent J . 2006;200(10):551-6. https://doi.org/10.1038/sj.bdj.4813586Links ]

15. Ferreira-Junior OM, Freire MCM, Moreira RS, Costa LR. Contextual and individual determinants of dental pain in preschool children. Community Dent Oral Epidemiol . 2015;43(4):349-56. https://doi.org/10.1111/cdoe.12159. [ Links ]

16. Lewis C, Stout J. Toothache in US children. Arch Pediatr Adolesc Med . 2010;164(11):1059-63. https://doi.org/10.1001/archpediatrics.2010.206Links ]

17. Gherunpong S, Sheiham A, Tsakos G. A sociodental approach to assessing children’s oral health needs: integrating an oral health-related quality of life (OHRQoL) measure into oral health service planning. Bull World Health Organ . 2006;84(1):36-42. https://doi.org/10.1590/S0042-96862006000100012Links ]

18. Clementino MA, Pinto-Sarmento TC, Costa EM, Martins CC, Granville-Garcia AF, Paiva SM. Association between oral conditions and functional limitations in childhood. J Oral Rehabil . 2015;42(6):420-9. https://doi.org/10.1111/joor.12273Links ]

19. Tsakos G, Hill K, Chadwick B, Anderson T. Children’s Dental Health Survey 2013. Report 1: Attitudes, Behaviours and Children’s Dental Health: England, Wales and Northern Ireland. London: Health and Social Care Information Centre; 2015 [cited 2017 Nov 10]. Available from: https://digital.nhs.uk/media/26568/CDHS-2013-Report-1-Attitudes-and-Behaviours/Any/CDHS2013-Report1-Attitudes-and-BehavioursLinks ]

20. Machado GC, Daher A, Costa LR. Factors associated with no dental treatment in preschoolers with toothache: a cross-sectional study in outpatient public emergency services. Int J Environ Res Public Health . 2014;11(8):8058-68. https://doi.org/10.3390/ijerph110808058Links ]

21. Ardenghi TM, Piovesan C, Antunes JLF. Inequalities in untreated dental caries prevalence in preschool children in Brazil. Rev Saude Publica . 2013;47 Supl 3:129-37. https://doi.org/10.1590/S0034-8910.2013047004352Links ]

22. Roncalli AG, Silva NN, Nascimento AC, Freitas CHSM, Casotti E, Peres KG, et al. Aspectos metodológicos do Projeto SBBrasil 2010 de interesse para inquéritos nacionais de saúde. Cad Saude Publica . 2012;28 Supl:s40-57. https://doi.org/10.1590/S0102-311X2012001300006Links ]

23. Adulyanon S, Vourapukjaru J, Sheiham A. Oral impacts affecting daily performance in a low dental disease Thai population. Community Dent Oral Epidemiol .1996;24(6):385-9. https://doi.org/10.1111/j.1600-0528.1996.tb00884.xLinks ]

24. World Health Organization. Oral health surveys: basic methods. 4 ed. Geneva: ORH/EPID; 1997 [cited 2017 Nov 9]. Available from: http://apps.who.int/iris/bitstream/10665/41905/1/9241544937.pdfLinks ]

25. Instituto Brasileiro de Geografia e Estatística. Censo Brasileiro 2010. Rio de Janeiro: IBGE; 2010. [ Links ]

26. Tuchtenhagen S, Bresolin CR, Tomazoni F, Rosa GN, Del Fabro JP, Mendes FM, et al. The influence of normative and subjective oral health status on schoolchildren’s happiness. BMC Oral Health . 2015;15:15. https://doi.og/10.1186/1472-6831-15-15Links ]

27. Pitts N, Chadwick B, Anderson T. Children’s Dental Health Survey 2013. Report 2: Dental disease and damage to children: England, Wales and Northern Ireland. London: Health and Social Care Information Centre; 2015 [cited 2017 Nov 10]. Available from: https://digital.nhs.uk/media/26569/CDHS-2013-Report-2-Dental-Disease/Any/CDHS2013-Report2-Dental-DiseaseLinks ]

28. Souza JGS, Martins AMEBL. Dental pain and associated factors in Brazilian preschoolers. Rev Paul Pediatr . 2016;34(3):336-42. https://doi.org/10.1016/j.rppede.2016.03.002Links ]

29. Kumar S, Kroon J, Lalloo R. A systematic review of the impact of parental socio-economic status and home environment characteristics on children’s oral health related quality of life. Health Qual Life Outcomes . 2014;12:41. https://doi.og/10.1186/1477-7525-12-41Links ]

30. Barbosa TS, Gavião MB. Oral health-related quality of life in children: part III. Is there agreement between parents in rating their children’s oral health-related quality of life? A systematic review. Int J Dent Hyg . 2008;6(2):108-13. https://doi.org/10.1111/j.1601-5037.2007.00271.xLinks ]

31. Talekar BS, Rozier RG, Slade GD. Development of an OHRQoL instrument for preschool children. The IADR/AADR/CADR 82nd General Session. J Dent Res . 2004;83 Spec No A:686. [ Links ]

Received: February 23, 2017; Accepted: June 15, 2017

Correspondence: Maria do Carmo Matias Freire. Faculdade de Odontologia, Universidade Federal de Goiás, Praça Universitária Setor Universitário 74605-220 Goiânia, GO, Brasil. E-mail: mcmfreire@yahoo.com.br

Authors’ Contribution: Design and planning of the study: MCMF, PCF, LRC. Analysis and interpretation of the data: MCMF, PCF, LRC. Preparation or review of the study: MCMF, PCF, LRC. Approval of the final version: MCMF, PCF, LRC. Public responsibility for the content of the article: MCMF, PCF, LRC

Conflict of Interest: The authors declare no conflict of interest.

Creative Commons License This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.