Skip to main content
Erschienen in: Health and Quality of Life Outcomes 1/2014

Open Access 01.12.2014 | Research

Impact of oral health conditions on the quality of life of preschool children and their families: a cross-sectional study

verfasst von: Monalisa Cesarino Gomes, Tassia Cristina de Almeida Pinto-Sarmento, Edja Maria Melo de Brito Costa, Carolina Castro Martins, Ana Flávia Granville-Garcia, Saul Martins Paiva

Erschienen in: Health and Quality of Life Outcomes | Ausgabe 1/2014

Abstract

Background

Dental caries, traumatic dental injury (TDI) and malocclusion are common oral health conditions among preschool children and can have both physical and psychosocial consequences. Thus, it is important to measure the impact these on the oral health-related quality of life (OHRQoL) of children. The aim of the present study was to assess the impact of oral health conditions on the OHRQoL of preschool children and their families.

Methods

A preschool-based, cross-sectional study was carried out with 843 preschool children in the city of Campina Grande, Brazil. Parents/caregivers answered the Brazilian Early Childhood Oral Health Impact Scale and a questionnaire addressing socio-demographic data as well as the parent’s/caregiver’s perceptions regarding their child’s health. Clinical exams were performed by three researchers who had undergone a calibration process for the diagnosis of dental caries, TDI and malocclusion (K = 0.83-0.85). Hierarchical Poisson regression was employed to determine the strength of associations between oral health conditions and OHRQoL (α = 5%). The multivariate model was run on three levels obeying a hierarchical approach from distal to proximal determinants: 1) socio-demographic data; 2) perceptions of health; and 3) oral health conditions.

Results

The prevalence of impact from oral health conditions on OHRQoL was 32.1% among the children and 26.2% among the families. The following variables were significantly associated with a impact on OHRQoL among the children: birth order of child (PR = 1.430; 95% CI: 1.045-1.958), parent’s/caregiver’s perception of child’s oral health as poor (PR = 1.732; 95% CI: 1.399-2.145), cavitated lesions (PR = 2.596; 95% CI: 1.982-3.400) and TDI (PR = 1.413; 95% CI: 1.161-1.718). The following variables were significantly associated with a impact on OHRQoL among the families: parent’s/caregiver’s perception of child’s oral health as poor (PR = 2.116; 95% CI: 1.624-2.757), cavitated lesions (PR = 2.809; 95% CI: 2.009-3.926) and type of TDI (PR = 2.448; 95% CI: 1.288-4.653).

Conclusion

Cavitated lesions and TDI exerted a impact on OHRQoL of the preschool children and their families. Parents’/caregivers’ perception of their child’s oral health as poor and the birth order of the child were predictors of a greater impact on OHRQoL.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1477-7525-12-55) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MCG was responsible for the analysis and interpretation of the data, helped the statistical analysis and drafted the manuscript. TCAPS was responsible for the conception and study design, acquisition and interpretation of data. EMMBC performed data acquisition and drafted the manuscript. CCM performed the analysis and interpretation of the data and a critical review of the manuscript. AFGG was responsible for conception design, analysis and interpretation of the data and a critical review of the manuscript. SMP was responsible for the conception and study design and performed the final critical review. All authors read and approved the final manuscript.
Abkürzungen
OHRQoL
Oral health-related quality of life
TDI
Traumatic dental injury
ECOHIS
Early Childhood Oral Health Impact Scale
B-ECOHIS
Brazilian version of the Early Childhood Oral Health Impact Scale
ICDAS
International Caries Detection and Assessment System.

Background

Oral health conditions can have a negative impact on the functional, social and psychological wellbeing of young children and their families, causing pain and discomfort for the child [1, 2]. Assessing the impact of oral health on the life quality of children can improve communication between patients, parents and the dental team and can provide an outcome measure for clinicians to assess the quality of care. Moreover, the evaluation of oral health-related quality of life (OHRQoL) can assist in the assessment of treatment needs, the prioritisation of care and the evaluation of the outcomes of treatment strategies and initiatives [35].
The interest in the assessment of OHRQoL among children has grown in recent years, which is a major improvement, as children in many communities around the world are affected by dental caries, traumatic dental injury (TDI) and malocclusion [2, 49]. Recent studies carried out in Brazil have shown high prevalence rates of adverse oral conditions, especially in areas with social inequalities, such as the area in which the present study was conducted [1012].
The Early Childhood Oral Health Impact Scale (ECOHIS) was developed to assess the impact of oral health conditions on the quality of life of preschool children (aged 2 to 5 years) and their families and has been validated in Portuguese for use on Brazilian populations [1, 13, 14]. This scale is a proxy measure that considers parents/caregivers to be fundamental in the treatment decision-making process and perceptions regarding children’s oral health conditions [1, 13]. Moreover evidence in the fields of child development and psychology indicates that children less than six years of age are incapable of accurately recalling day-to-day events after more than 24 hours [15].
Studies evaluating the impact of oral health conditions on OHRQoL are often based on non-randomised [57] convenience samples [9, 16, 17]. Moreover, most studies use dichotomised variables (presence/absence of oral health conditions) [2, 9, 16, 17]. Few studies have stratified the variables based on the severity of TDI and types of malocclusion [5, 7] and all studies have evaluated dental caries using the WHO criteria, which does not discriminate cavitated dental caries and the initial stages of dental caries (e.g., white spots). No study in the literature has evaluated the severity of dental caries based on new diagnostic index for dental caries: the International Caries Detection and Assessment System (ICDAS), which is an internationally accepted caries detection system that allows the assessment of initial carious lesions (white spots) on the enamel and active lesions in the dentine. This system is based on the combined knowledge of the clinical appearance of the lesion, whether the lesion is in a plaque stagnation area and tactile sensation (texture) when a round-tipped probe is gently drawn across the surface of the tooth [18, 19]. No study has evaluated the impact of white spots and cavitations on OHRQoL. Furthermore, the present investigation is a unique representative, randomised study with a two-stage sampling method and hierarchical analysis to evaluate the impact of the severity of TDI, type of malocclusion, white spots and cavitated dental caries on OHRQoL.
The aim of the present study was to evaluate the impact of oral health conditions on the OHRQoL of preschool children aged three to five years and their families in a representative, preschool-based sample.

Methods

Sample characteristics

A cross-sectional study was carried out involving a randomly selected sample of 843 male and female children aged three to five years enrolled in private and public preschools in the city of Campina Grande, Brazil. The participants were selected from a total population of 12,705 children in this age group. Campina Grande (estimated population: 386,000) is an industrialised city in northeast Brazil and is divided into six administrative districts. The city has a Human Development Index of 0.72 [20].
The percentage distribution of three-to-five-year-old preschool children in each administrative district was calculated from information provided by the municipal Board of Education. To ensure representativeness, the sample was stratified according to administrative district and type of institution (two-phase sampling method). Preschools were randomly selected from each administrative district in the first phase and preschool children were randomly selected from each preschool in the second phase. Sample distribution was proportional to the total population enrolled in private and public preschools in each administrative district of the city. The sample size was calculated based on a 4% margin of error, a 95% confidence level and a correction factor of 1.2 to compensate for the design effect [21]. As the prevalence of impact on OHRQoL was unknown, a prevalence rate of 50% was considered to increase the power and because this value gives the largest sample regardless of the actual prevalence [22]. Eighteen of the 127 public preschools and 15 of the 122 private preschools were randomly selected. The minimum sample size was estimated at 720 preschool children, to which an additional 20% was added to compensate for possible losses, giving a total sample of 864 preschool children.
The present study received approval from the Human Research Ethics Committee of the State University of Paraíba (Brazil) under process number 00460133000–11 in compliance with Resolution 196/96 of the Brazilian National Health Council. All participants’ rights were protected. Parents/caregivers read and signed a statement of informed consent prior to the children’s participation.

Eligibility criteria

To be included in the study, the children needed to be between three and five years of age, enrolled in a preschool and free of systemic diseases (based on the reports of the parents/caregivers). Only reports of parents/caregivers were considered for systemic disease; no systemic examination was conducted. The exclusion criteria were the presence of one or more erupted permanent teeth, a history of orthodontic treatment and caregivers not fluent in Brazilian.

Training and calibration exercise

The training and calibration exercise consisted of two steps (theoretical and clinical). The theoretical step involved a discussion of the criteria for the diagnosis of dental caries, TDI, malocclusion and an analysis of photographs. A specialist in paediatric dentistry (gold standard in this theoretical framework) coordinated this step, instructing three general dentists on how to perform the examination. The clinical step was performed at a randomly selected preschool that was not part of the main sample. Each dentist examined 50 previously selected preschool children between three and five years of age. Inter-examiner agreement was tested by comparing each examiner (K = 0.83 to 0.88). After a seven-day interval, the examinations were performed a second time for the determination of intra-examiner agreement (K = 0.85 to 0.90). Data analysis involved Cohen’s Kappa coefficient on a tooth-by-tooth basis. As the Kappa coefficients were very good [23], the examiners were considered capable of conducting the epidemiological study.

Pilot study

A pilot study was conducted to test the methodology and comprehension of the questionnaires. The children in the pilot study (n = 40) were not included in the main sample. As there were no misunderstandings regarding the questionnaires or the methodology, no changes to the data collection process were deemed necessary.

Non-clinical data collection

The acquisition of the non-clinical data involved the administration of the Brazilian version of the Early Childhood Oral Health Impact Scale (B-ECOHIS) and questionnaires addressing socio-demographic data and parents’/caregivers’ perceptions regarding their child’s health. Parents/caregivers were previously contacted to attend a meeting at the preschools, at which they were informed regarding the objectives of the study. Parents/caregivers who agreed to participate signed a statement of informed consent and were then instructed to answer the B-ECOHIS and a questionnaire addressing socio-demographic data. For the B-ECOHIS, the parents/caregivers were instructed to consider the child’s entire lifetime experience of oral health conditions and treatment. All questionnaires were filled out by the parents/caregivers and returned at the end of the meeting.
The B-ECOHIS is used for the evaluation of parents’/caregivers’ perceptions regarding the impact of oral health conditions on the OHRQoL of preschool children and their families. This measure has been employed in previous studies [1, 13, 14] and is divided into two sections (Child Impact and Family Impact), with a total of six subscales and 13 items. The subscales on the Child Impact section are symptoms (1 item), function (4 items), psychology (2 items) and self-image/social interaction (2 items). The subscales on the Family Impact section are parental distress (2 items) and family function (2 items). Each item has six response options: 0 = never; 1 = hardly ever; 2 = sometimes; 3 = often; 4 = very often; and 5 = “I don’t know”. Questionnaires with two or more unanswered items on the Child Impact section or one or more unanswered item on the Family Impact section were considered incomplete and were excluded from the analysis. The scores are totalled for each section (“don’t know” responses are not counted). The total score ranges from 0 to 36 points on the Child Impact section and 0 to 16 points on the Family Impact section, with higher scores indicating greater impact [1, 13]. In the present study, negative impact on child and family OHRQoL was recorded when at least one response of “sometimes”, “often” or “very often” was chosen, whereas responses of “never” and “hardly ever” were considered indicative of an absence of negative impact, as recommended by the creators of the original ECOHIS [15].
The following socio-demographic variables were analysed: sex and age of child; parent’s/guardian’s age; mother’s schooling; number of residents in the home; child’s birth order among siblings; type of preschool (public or private); and monthly household income (categorised based on the monthly minimum salary in Brazil, which was equal to US$312.50).
Parent’s/caregiver’ perceptions regarding their child’s general and oral health status were evaluated based on answers to the following question: In general, how would you describe your child’s general health/oral health? The response options were 1) very good, 2) good, 3) fair, 4) poor and 5) very poor. For statistical purposes, these answers were dichotomised as good (codes 1 and 2) and poor (codes 3, 4 and 5) [2].

Clinical data collection

After the return of the questionnaires and signed statement of informed consent, clinical examinations were performed at the preschools by three dentists who had undergone the training and calibration exercise. Prior to the exam, each child received a kit containing a toothbrush, toothpaste and dental floss to remove bacterial plaque from the teeth and facilitate the diagnosis. The child was then seated in front of the examiner. Light was provided by a portable lamp positioned on the examiner’s head (Petzl Zoom head lamp, Petzl America, Clearfield, UT, USA). The dentists used individual protection equipment, a sterilised mouth mirror (PRISMA®, São Paulo, SP, Brazil), sterilised Williams probe (WHO-621, Trinity®, Campo Mourão, PA, Brazil) and gauze to dry the teeth.
Dental caries was diagnosed using the International Caries Detection and Assessment System (ICDAS II) [18], which is a scoring system ranging from 0 (absence of dental caries) to 6. Due to the epidemiological nature of the present study, code 1 was not used, as drying of the teeth was performed with gauze rather than compressed air. Code 2 was used for white spots and codes ≥ 3 determined different degrees of cavitations. For statistical purposes, dental caries was dichotomised as absent (code 0) or present (code ≥ 2) [18]. Untreated dental caries was also considered in the evaluation of the impact of cavitated lesions in OHRQoL. This variable was categorised as absent/white spot (codes 0 and 2), cavitated anterior teeth (codes ≥ 3), cavitated posterior teeth (codes ≥ 3), cavitated anterior and posterior teeth (codes ≥ 3). It is noteworthy that code 4 represents those lesions where there are underlying shadows indicating that the carious demineralization has progressed into dentin [18], however not all codes 4 are cavitated but in this study were included as cavitated lesions.
TDI was diagnosed as enamel fracture, enamel + dentine fracture, complicated crown fracture, extrusive luxation, lateral luxation, intrusive luxation and avulsion [24]. A visual inspection was also made of tooth colouration. TDI was recorded in the presence of any type of TDI or tooth discolouration. Malocclusion was recorded in the presence of at least one of the following conditions: increased overbite (>2 mm), increased overjet (>2 mm), anterior open bite, anterior crossbite and posterior crossbite [25, 26]. Following the exam, a fluoridated varnish was applied to the teeth and children with dental caries or other dental needs were sent for treatment.

Statistical analysis

Descriptive statistics were first performed to characterise the sample. The chi-square test was used to test associations between oral health conditions and socio-demographic data and the Bonferroni correction was used for variables with more than two categories. Bivariate Poisson regression analysis with robust variance was used to determine associations between the independent variables and negative impact on the OHRQoL of the preschool children and their families (p < 0.05). The multivariate model obeyed a hierarchical approach from distal to proximal determinants: 1) socio-demographic data, 2) parent’s/caregiver’s perception of child’s health and 3) oral health conditions (Figure 1) [27]. The backward stepwise procedure was used to incorporate variables that achieved a p-value < 0.20 in the bivariate analysis as well as variables considered epidemiological determinants on each level. Variables with a p-value < 0.05 in the adjusted analysis were maintained in the final regression model. Interactions among dental caries, TDI and malocclusion were tested using Wald’s test. Variance inflation factors were calculated to determine the existence of collinearity among the predictors in the adjusted model. The data were organised and analysed with the aid of the Statistical Package for Social Sciences (SPSS for Windows, version 20.0, SPSS Inc, Chicago, IL, USA).

Results

A total of 843 pairs of preschool children and their parents/caregivers participated in the present study, corresponding to 97.5% of the total determined by the sample size calculation. The loss of 21 children was due to a lack of cooperation during the exam (n = 6), incomplete questionnaires (n = 11) and absence from preschool on the days scheduled for the clinical examinations (n = 4).
Table 1 displays the oral health conditions distributed according to the socio-demographic data of the sample. The chi-square test revealed that, among the three oral conditions, only cavitated lesions were significantly associated with age, type of school, mother’s schooling and monthly household income. More children with cavitated lesions were aged five years (56.8%), studied at public preschools (58.6%), had mothers with ≤ eight years of schooling (62.4%) or came from families that earned up to the minimum wage (61.1%) compared to children with white spots or without dental caries. Parents’/caregivers’ perceptions of general and oral health were poor among 81.0% and 66.5% of the sample, respectively.
Table 1
Frequency of clinical variables according to socio-demographic data of preschool children analysed
Variable
Dental caries
TDI
Malocclusion
 
Absent* n (%)
White spots* n (%)
Cavitations* n (%)
Absent n (%)
Present n (%)
Absent n (%)
Present n (%)
Sex
       
Female
125 (30.7)A
82 (20.1)A
200 (49.1)A
275 (67.9)A
130 (32.1)A
141 (34.8)A
264 (65.2)A
Male
158 (36.2)A
76 (17.4)A
202 (46.3)A
278 (64.1)A
156 (35.9)A
152 (35.0)A
282 (65.0)A
Age
       
3 years
107 (38.9)A
61 (22.2)A
107 (38.9)B
176 (64.0)A
99 (36.0)A
85 (30.9)A
190 (69.1)A
4 years
103 (30.8)A
69 (20.7)A
162 (48.5)B
226 (68.2)A
106 (31.9)A
115 (34.6)A
217 (65.4)A
5 years
73 (31.1)A
28 (12.0)A
133 (56.8)B
151 (65.1)A
81 (34.9)A
93 (40.1)A
139 (59.9)A
Type of preschool
       
Public
111 (24.3)A
78 (17.1)A
267 (58.6)B
305 (67.3)A
148 (32.7)A
163 (36.0)A
290 (64.0)A
Private
172 (44.4)A
80 (20.7)A
135 (34.9)B
248 (64.2)A
138 (35.8)A
130 (33.7)A
256 (66.3)A
Mother’s schooling
       
≤ 8 years of study
100 (25.8)A
46 (11.9)A
242 (62.4)B
262 (68.1)A
123 (31.9)A
133 (34.5)A
252 (65.5)A
> 8 years of study
183 (40.5)A
111 (24.6)A
158 (35.0)B
289 (64.1)A
162 (35.9)A
160 (35.5)A
291 (64.5)A
Monthly household income
       
≤ 1 minimum salary
108 (24.4)A
64 (14.5)A
270 (61.1)B
299 (68.0)A
141 (32.0)A
166 (37.7)A
274 (62.3)A
> 1 minimum salary
157 (43.4)A
84 (23.2)A
121 (33.4)B
229 (63.6)A
131 (36.4)A
113 (31.4)A
247 (68.6)A
TOTAL
283 (33.6)
158 (18.7)
402 (47.7)
553 (65.9)
286 (34.1)
293 (34.9)
546 (65.1)
*Chi-square test with Bonferroni correction; Different capital letters denote significantly different results (p < 0.05).
The prevalence of negative impact on OHRQoL was 32.1% among the children and 26.2% among the families. Scores of 0 (floor effect) were found on 58.6% and 69.6% of the Child Impact and Family Impact sections of the B-ECOHIS, respectively (i.e., 58.6% and 69.6% of the parents/caregivers reported no impacts). No ceiling effect was found for either section (i.e., scores of 36 and 16 on the Child and Family Impact sections, respectively). The maximum score was 31 on the Child Impact section and 14 on the Family Impact section (Table 2). Table 2 also displays the mean, standard deviation, median, minimum and maximum total B-ECOHIS scores and subscales scores. The items with the highest means were “reported pain”, “felt guilty” and “been upset”.
Table 2
Prevalence of impact on oral health-related quality of life and B-ECOHIS scores among preschool children
Subscales, Items
SCORE Mean ± SD
Median
Minimum-Maximum
Impact N (%)
ECOHIS total (0–52)
3.60 ± 6.10
0
0 - 38
349 (41.4)
Child Impact
2.41 ± 4.41
0
0 - 31
271 (32.1)
Reported pain
0.61 ± 0.99
0
0 - 4
195 (23.1)
Had difficulty drinking hot or cold beverages
0.36 ± 0.82
0
0 - 4
110 (13.1)
Had difficulty eating some foods
0.37 ± 0.85
0
0 - 4
112 (13.3)
Had difficulty pronouncing words
0.22 ± 0.72
0
0 - 4
66 (7.8)
Missed preschool, day care or school
0.13 ± 0.49
0
0 - 3
34 (4.1)
Had trouble sleeping
0.20 ± 0.64
0
0 - 4
56 (6.6)
Been irritable or frustrated
0.31 ± 0.78
0
0 - 4
95 (11.3)
Avoided smiling or laughing
0.11 ± 0.49
0
0 - 4
26 (3.1)
Avoided talking
0.10 ± 0.45
0
0 - 4
27 (3.2)
Family Impact
1.23 ± 2.31
0
0 - 14
221 (26.2)
Been upset
0.41 ± 0.92
0
0 - 4
126 (15.0)
Felt guilty
0.49 ± 0.97
0
0 - 4
157 (18.7)
Taken time off work
0.17 ± 0.59
0
0 - 4
56 (6.7)
Financial impact
0.16 ± 0.60
0
0 - 4
46 (5.4)
In the final hierarchical Poisson regression model, the following variables were significantly associated with a negative impact on OHRQoL among the children: child’s order of birth, parent’s/caregiver’s perception of child’s oral health as poor, cavitated dental caries and TDI (Table 3). The following variables were significantly associated with a negative impact on OHRQoL among the families: parent’s/caregiver’s perception of child’s oral health as poor, cavitated dental caries and greater severity of TDI (Table 4).
Table 3
Hierarchical Poisson regression for impact on OHRQoL of children and independent variables
Variable
Impact on child’s OHRQoL
Bivariate
Multivariate
 
Present n (%)
Absent n (%)
Unadjusted
Adjusted
PR*
PR †
p-value
p-value
(95% CI)
(95% CI)
Sex
      
Female
132 (32.4)
275 (67.6)
0.864
1.017 (0.836-1.238)
-
-
Male
139 (31.9)
297 (68.1)
 
1.00
-
-
Age
      
3 years
71 (25.8)
204 (74.2)
 
1.00
-
-
4 years
95 (28.4)
239 (71.6)
0.470
1.102 (0.847-1.433)
-
-
5 years
105 (44.9)
129 (55.1)
<0.001
1.738 (1.360-2.222)
-
-
1 st level
Type of preschool
      
Public
171 (37.5)
285 (62.5)
<0.001
1.451 (1.181-1.784)
-
-
Private
100 (25.8)
287 (74.2)
 
1.00
-
-
Mother’s schooling
      
≤ 8 years of study
153 (39.4)
235 (60.6)
<0.001
1.510 (1.239-1.841)
-
-
> 8 years of study
118 (26.1)
334 (73.9)
 
1.00
-
-
Monthly household income
      
≤ 1 minimum salary
177 (40.0)
265 (60.0)
<0.001
1.686 (1.357-2.094)
-
-
> 1 minimum salary
86 (23.8)
276 (76.2)
 
1.00
-
-
Parent’s/guardian’s age
      
≤ 30 years
139 (32.9)
283 (67.1)
0.456
1.079 (0.883-1.319)
-
-
> 30 years
123 (30.5)
280 (69.5)
 
1.00
-
-
Number of residents in home
      
< 6
214 (30.6)
485 (69.4)
 
1.00
-
-
≥ 6
53 (41.1)
76 (58.9)
0.014
1.342 (1.061-1.697)
-
-
Birth order
      
Only child
60 (22.8)
203 (77.2)
 
1.00
 
1.00
Oldest child
50 (40.7)
73 (59.3)
<0.001
1.782 (1.309-2.425)
0.025
1.430 (1.045-1.958)
Middle child
38 (36.5)
66 (63.5)
0.006
1.602 (1.143-2.243)
0.316
1.183 (0.852-1.641)
Youngest child
121 (34.7)
228 (65.3)
0.002
1.520 (1.166-1.981)
0.106
1.228 (0.957-1.575)
2 nd level
Perception of general health
      
Good
201 (29.6)
479 (70.4)
 
1.00
-
-
Poor
70 (44.0)
89 (56.0)
<0.001
1.489 (1.207-1.838)
-
-
Perception of oral health
      
Good
120 (21.4)
440 (78.6)
 
1.00
 
1.00
Poor
151 (53.5)
131 (46.5)
<0.001
2.499 (2.062-3.029)
<0.001
1.732 (1.399-2.145)
3 rd level
Dental caries
      
Absent
46 (16.3)
237 (83.7)
 
1.00
-
-
Present
225 (40.2)
335 (59.8)
<0.001
2.472 (1.862-3.281)
-
-
Cavitated lesions
      
Absent/white spots
77 (17.5)
364 (82.5)
 
1.00
 
1.00
Cavitated anterior teeth
17 (29.3)
41 (70.7)
0.024
1.679 (1.072-2.628)
0.146
1.422 (0.885-2.287)
Cavitated posterior teeth
82 (44.6)
102 (55.4)
<0.001
2.552 (1.970-3.307)
<0.001
2.011 (1.518-2.664)
Cavitated anterior and posterior teeth
95 (59.4)
65 (40.6)
<0.001
3.401 (2.675-4.323)
<0.001
2.596 (1.982-3.400)
TDI
      
Absent
168 (30.4)
385 (69.6)
 
1.00
 
1.00
Present
100 (35.0)
186 (65.0)
0.173
1.151 (0.940-1.409)
0.001
1.413 (1.161-1.718)
Type of TDI
      
Discolouration
38 (39.2)
59 (60.8)
0.071
1.285 (0.979-1.688)
-
-
Avulsion and/or luxation
4 (36.4)
7 (63.6)
0.661
1.193 (0.542-2.628)
-
-
Enamel + dentine fracture
16 (38.1)
26 (61.9)
0.276
1.250 (0.836-1.868)
-
-
Enamel fracture and without trauma
210 (30.5)
479 (69.5)
 
1.00
-
-
Malocclusion
      
Absent
95 (32.4)
198 (67.6)
0.827
1.023 (0.833-1.258)
-
-
Present
173 (31.7)
373 (68.3)
 
1.00
-
-
Anterior crossbite
      
Absent
256 (31.5)
557 (68.5)
 
1.00
-
-
Present
9 (39.1)
14 (60.9)
0.413
1.243 (0.739-2.090)
-
-
Anterior open bite
      
Absent
201 (31.1)
446 (68.9)
 
1.00
-
-
Present
58 (32.8)
119 (67.2)
0.663
1.055 (0.830-1.341)
-
-
Posterior crossbite
      
Absent
229 (31.3)
503 (68.7)
 
1.00
-
-
Unilateral
30 (32.3)
63 (67.7)
0.848
1.031 (0.754-1.411)
-
-
Bilateral
5 (55.6)
4 (44.4)
0.058
1.776 (0.980-3.217)
-
-
Increased overbite
      
Absent
224 (33.6)
442 (66.4)
0.009
1.518 (1.112-2.073)
-
-
Present
35 (22.2)
123 (77.8)
 
1.00
-
-
Increased overjet
      
Absent
144 (30.6)
326 (69.4)
 
1.00
-
-
Present
121 (33.1)
245 (66.9)
0.455
1.079 (0.884-1.317)
-
-
*Unadjusted Poisson regression for independent variables and impact on child’s quality of life.
**Variables incorporated in multivariate model (p < 0.20): sex, age, type of preschool, mother’s schooling, monthly household income, number of residents in home, child’s birth order, parent’s/caregiver’s perception of child’s general health, parent’s/caregiver’s perception of child’s oral health, dental caries, untreated dental caries, traumatic dental injury, type of traumatic dental injury, malocclusion, posterior crossbite and increased overbite.
***For dental caries, the cut-off point was code ≥ 2; for cavitated lesions, absent/white spots (codes ≤ 2) and cavitated tooth (codes ≥ 3) were considered.
†Hierarchical Poisson regression: Level 1 adjusted for child’s characteristics and socio-demographic variables; Level 2 adjusted for child’s characteristics, socio-demographic variables and parent’s/caregiver’s perception of child’s health; Level 3 adjusted for child’s characteristics, socio-demographic variables, parent’s/caregiver’s perception of child’s health and oral health problems (dental caries, traumatic dental injuries and malocclusion).
Table 4
Hierarchical Poisson regression for impact on OHRQoL of family and independent variables
Variable
Impact on family’s OHRQoL
Bivariate
Multivariate
 
Present n (%)
Absent n (%)
Unadjusted
Adjusted
PR*
PR †
p-value
p-value
(95% CI)
(95% CI)
Sex
      
Female
106 (26.0)
301 (74.0)
 
1.00
-
-
Male
115 (26.4)
321 (73.6)
0.913
1.013 (0.807-1.270)
-
-
Age
      
3 years
66 (24.0)
209 (76.0)
 
1.00
-
-
4 years
85 (25.4)
249 (74.6)
0.681
1.060 (0.802-1.402)
-
-
5 years
70 (29.9)
164 (70.1)
0.133
1.246 (0.935-1.662)
-
-
1 st level
Type of preschool
      
Public
131 (28.7)
325 (71.3)
0.074
1.235 (0.980-1.557)
-
-
Private
90 (23.3)
297 (76.7)
 
1.00
-
-
Mother’s schooling
      
≤ 8 years of study
117 (30.2)
271 (69.8)
0.019
1.311 (1.045-1.644)
-
-
> 8 years of study
104 (23.0)
348(77.0)
 
1.00
-
-
Monthly household income
      
≤ 1 minimum salary
132 (29.9)
310 (70.1)
0.023
1.318 (1.039-1.673)
-
-
> 1 minimum salary
82 (22.7)
280 (77.3)
 
1.00
-
-
Parent’s/guardian’s age
      
≤ 30 years
120 (28.4)
302 (71.6)
0.080
1.232 (0.975-1.557)
-
-
> 30 years
93 (23.1)
310 (76.9)
 
1.00
-
-
Number of residents in home
      
< 6
176 (25.2)
523 (74.8)
 
1.00
-
-
≥ 6
43 (33.3)
86 (66.7)
0.046
1.324 (1.005-1.744)
-
-
Birth order
      
Only child
55 (20.9)
208 (79.1)
 
1.00
-
-
Oldest child
39 (31.7)
84 (68.3)
0.020
1.516 (1.068-2.152)
-
-
Middle child
27 (26.0)
77 (74.0)
0.290
1.241 (0.832-1.853)
-
-
Youngest child
98 (28.1)
251 (71.9)
0.046
1.343 (1.006-1.792)
-
-
2 nd level
Perception of general health
      
Good
157 (23.1)
523 (76.9)
 
1.00
-
-
Poor
61 (38.4)
98 (61.6)
<0.001
1.662 (1.307-2.113)
-
-
Perception of oral health
      
Good
88 (15.7)
472 (84.3)
 
1.00
 
1.00
Poor
133 (47.2)
149 (52.8)
<0.001
3.001 (2.389-3.770)
<0.001
2.116 (1.624-2.757)
3 rd level
Dental caries
      
Absent
35 (12.4)
248 (87.6)
 
1.00
-
-
Present
186 (33.2)
374 (66.8)
<0.001
2.686 (1.928-3.742)
-
-
Cavitated lesions
      
Absent/white spots
55 (12.5)
386 (87.5)
 
1.00
 
1.00
Cavitated anterior teeth
14 (24.1)
44 (75.9)
0.013
1.935 (1.152-3.252)
0.079
1.586 (0.949-2.651)
Cavitated posterior teeth
73 (39.7)
111 (60.3)
<0.001
3.181 (2.345-4.315)
<0.001
2.380 (1.679-3.372)
Cavitated anterior and posterior teeth
79 (49.4)
81 (50.6)
<0.001
3.959 (2.954-5.306)
<0.001
2.809 (2.009-3.926)
TDI
      
Absent
143 (25.9)
410 (74.1)
 
1.00
-
-
Present
74 (25.9)
212 (74.1)
0.996
1.001 (0.786-1.274)
-
-
Type of TDI
      
Discolouration
32 (33.0)
65 (67.0)
0.080
1.322 (0.968-1.805)
0.054
1.326 (0.995-1.766)
Avulsion and/or luxation
4 (36.4)
7 (63.6)
0.352
1.457 (0.660-3.217)
0.006
2.448 (1.288-4.653)
Enamel + dentine fracture
9 (21.4)
33 (78.6)
0.614
0.858 (0.474-1.554)
0.877
1.048 (0.582-1.885)
Enamel fracture and without trauma
172 (25.0)
517 (75.0)
 
1.00
 
1.00
Malocclusion
      
Absent
81 (27.6)
212 (72.4)
0.386
1.110 (0.877-1.405)
-
-
Present
136 (24.9)
410 (75.1)
 
1.00
-
-
Anterior crossbite
      
Absent
207 (25.5)
606 (74.5)
 
1.00
-
-
Present
9 (39.1)
14 (60.9)
0.107
1.537 (0.911-2.593)
-
-
Anterior open bite
      
Absent
166 (25.7)
481 (74.3)
0.950
1.009 (0.759-1.341)
-
-
Present
45 (25.4)
132 (74.6)
 
1.00
-
-
Posterior crossbite
      
Absent
548 (74.9)
184 (25.1)
 
1.00
-
-
Unilateral
27 (29.0)
66 (71.0)
0.408
1.155 (0.821-1.625)
-
-
Bilateral
5 (55.6)
4 (44.4)
0.009
2.210 (1.216-4.017)
-
-
Increased overbite
      
Absent
185 (27.8)
481 (72.2)
0.006
1.688 (1.164-2.449)
-
-
Present
26(16.5)
132(83.5)
 
1.00
-
-
Increased overjet
      
Absent
128 (27.2)
342 (72.8)
0.298
1.133 (0.896-1.432)
-
-
Present
88 (24.0)
278 (76.0)
 
1.00
-
-
*Unadjusted Poisson regression for independent variables and impact on family’s quality of life.
**Variables incorporated in multivariate model (p < 0.20): sex, age, type of preschool, mother’s schooling, monthly household income, parent’s/guardian’s age, number of residents in home, child’s birth order, parent’s/caregiver’s perception of child’s general health, parent’s/caregiver’s perception of child’s oral health, dental caries, untreated dental caries, traumatic dental injury, type of traumatic dental injury, malocclusion, anterior crossbite, posterior crossbite and increased overbite.
***For dental caries, the cut-off point was code ≥ 2; for cavitated lesions, absent/white spots (codes ≤ 2) and cavitated tooth (codes ≥ 3) were considered.
†Hierarchical Poisson regression: Level 1 adjusted for child’s characteristics and socio-demographic variables; Level 2 adjusted for child’s characteristics, socio-demographic variables and parent’s/caregiver’s perception of child’s health; Level 3 adjusted for child’s characteristics, socio-demographic variables, parent’s/caregiver’s perception of child’s health and oral health problems (dental caries, traumatic dental injuries and malocclusion).

Discussion

The present study evaluated the impact of dental caries, TDI and malocclusion on the OHRQoL of preschool children using the Brazilian Portuguese version of the ECOHIS. The occurrence of cavitated lesions and TDI was found to cause a negative impact on the OHRQoL of preschool children and their families, whereas different types of malocclusion did not have this effect. Moreover, this is the first study to perform a hierarchical approach, which stratifies the impact of the severity of TDI, different types of malocclusion, different stages of dental caries and the teeth affected as risk factors that exert an influence on quality of life. Such an approach allows an analysis of interrelationships among factors rather than making the strict statistical associations commonly found in multivariate methods [27].
Cavitated lesions were associated with OHRQoL among the children and families due to the fact that parents/caregivers recognise an oral health problem when it becomes evident or when it is manifested in the form of pain [28, 29]. Indeed, the parents/caregivers reported greater impact on the items “reported pain”, “difficulty drinking hot or cold beverages”, “difficulty eating some foods” and “been irritable”. These findings indicate symptoms related to more serious oral health problems, such as untreated dental caries [30]. Severe dental caries can result in parents/caregivers missing days of work and greater financial expenditures as well as feelings of guilt, with a consequent negative impact on the OHRQoL of the family [17, 28]. Moreover, the greater participation of women in the job market and consequent reduction in the role mothers play in raising their children [31] may have contributed to the greater frequency of the items “felt guilty” and “been upset”, as suggested in previous studies [2, 8, 17]. It should be stressed that dental caries was diagnosed in the present study using the criteria of the ICDAS-II, which detects the early manifestations of this condition [18]. This may explain why the presence of dental caries when considering data on white spots was not associated with OHRQoL, as such lesions often go unperceived by parents/caregivers and do not cause pain. Cavitated teeth have been associated to a negative impact on OHRQoL in previous investigations [2, 5, 6, 17, 29], although the location of the lesions was not evaluated in the studies cited. Cavitated lesions on anterior teeth were not associated with a negative impact on OHRQoL, likely due to the nature of these lesions, which were not very severe, and the lesser importance given to aesthetics in the age group analysed [32]. However, when posterior teeth and both posterior and anterior teeth were analysed, significant associations were found with a negative impact on OHRQoL, possibly because cavities on posterior teeth are generally more severe and associated with reports of pain and difficulty eating [28, 30].
Cavitated lesions were associated with socio-demographic variables (lower income, lower educational level of the mother, enrolment at a public preschool and children aged five years) in comparison to children with white spots or without dental caries. This demonstrates the importance of socio-demographic data regarding the use of dental services [33, 34]. Some studies have found a greater frequency of impact on the OHRQoL of preschool children from families with a lower socioeconomic status [2, 6, 17]. However, no socioeconomic variable remained associated with the negative impact on quality of life in the present investigation, which is in agreement with data reported in a previous study [5]. This finding suggests that oral health conditions can exert an impact on the quality of life of children regardless of one’s socioeconomic status.
While a previous investigation found an association between malocclusion and impact on OHRQoL [5], the majority of studies found no such association [2, 7, 9, 17, 35], which is in agreement with the present findings. However, TDI had a negative impact on the OHRQoL of the preschool children and cases of avulsion and/or luxation were predictors of a negative impact on the OHRQoL of the families. This type of oral health problem may require a considerable amount of time on the part of the family due to the urgency of relieving the pain symptoms and the limitations that may arise [5, 9, 28]. Parents/caregivers generally perceive a negative impact on quality of life when clinical signs are involved, such as tooth discolouration, which can exert a psychosocial impact on the child [8]. However, some studies have found no association between TDI and OHRQoL [2, 8, 17]. This may be due to the type of TDI considered in the analysis, as negative impact generally only occurs in more serious cases [7, 9, 28].
Birth order of the child was a predictor of a greater negative impact on OHRQoL among the children, likely because financial resources and attention from parents/caregivers are shared among the siblings as more children are born into the family [36, 37]. Indeed, a greater frequency of dental caries is found among children in large families [38].
Parents’/caregivers’ perception of their child’s oral health was associated with a negative impact on the OHRQoL of both the children and families. Perceptions of parents/caregivers regarding their child’s oral health plays an important role in the determination of the negative impact on OHRQoL [39], as the health of preschool children depends on parental/caregiver knowledge regarding health care [40].
The present study has the limitations inherent to the cross-sectional design and the answers on the questionnaires may have been subject to information bias. However, a number of measures were taken to diminish the occurrence of such bias, such as the use of a validated questionnaire and the execution of a pilot study. Thus, it is possible to extrapolate the findings, since the present investigation was a representative, preschool-based study. Longitudinal studies are needed to clarify the relationship of causality and allow establishment of public policies aimed at reducing the impact of oral health conditions on the OHRQoL of preschool children and their families.

Conclusion

Cavitated lesions on anterior and posterior teeth, traumatic dental injuries and parents’/caregivers’ perception of their child’s oral health as poor are determinants of a negative impact on the OHRQoL of preschool children and their families. While white spots were not associated with impact on OHRQoL, it is important to treat such cases to prevent the progression to cavitation.

Acknowledgments

This study was supported by the State University of Paraíba (UEPB), the Brazilian Coordination of Higher Education, Ministry of Education (CAPES), the Research Foundation of the State of Minas Gerais (FAPEMIG) and the National Council for Scientific and Technological Development (CNPQ), Brazil.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( https://​creativecommons.​org/​publicdomain/​zero/​1.​0/​ ) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MCG was responsible for the analysis and interpretation of the data, helped the statistical analysis and drafted the manuscript. TCAPS was responsible for the conception and study design, acquisition and interpretation of data. EMMBC performed data acquisition and drafted the manuscript. CCM performed the analysis and interpretation of the data and a critical review of the manuscript. AFGG was responsible for conception design, analysis and interpretation of the data and a critical review of the manuscript. SMP was responsible for the conception and study design and performed the final critical review. All authors read and approved the final manuscript.
Anhänge

Authors’ original submitted files for images

Literatur
1.
Zurück zum Zitat Scarpelli AC, Oliveira BH, Tesch FC, Leão AT, Pordeus IA, Paiva SM: Psychometric properties of the Brazilian version of the Early Childhood Oral Health Impact Scale (B-ECOHIS). BMC Oral Health 2011, 11: 19. 10.1186/1472-6831-11-19PubMedCentralCrossRefPubMed Scarpelli AC, Oliveira BH, Tesch FC, Leão AT, Pordeus IA, Paiva SM: Psychometric properties of the Brazilian version of the Early Childhood Oral Health Impact Scale (B-ECOHIS). BMC Oral Health 2011, 11: 19. 10.1186/1472-6831-11-19PubMedCentralCrossRefPubMed
2.
Zurück zum Zitat 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: 336–344. 10.1111/cdoe.12022CrossRefPubMed 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: 336–344. 10.1111/cdoe.12022CrossRefPubMed
3.
Zurück zum Zitat Sheiham A, Maizels JE, Cushing AM: The concept of need in dental care. Int Dent J 1982, 32: 265–270.PubMed Sheiham A, Maizels JE, Cushing AM: The concept of need in dental care. Int Dent J 1982, 32: 265–270.PubMed
4.
Zurück zum Zitat McGrath C, Broder H, Wilson-Genderson M: Assessing the impact of oral health on the life quality of children: implications for research and practice. Community Dent Oral Epidemiol 2004, 32: 81–85. 10.1111/j.1600-0528.2004.00149.xCrossRefPubMed McGrath C, Broder H, Wilson-Genderson M: Assessing the impact of oral health on the life quality of children: implications for research and practice. Community Dent Oral Epidemiol 2004, 32: 81–85. 10.1111/j.1600-0528.2004.00149.xCrossRefPubMed
5.
Zurück zum Zitat 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: 327–235. 10.1111/cdoe.12035CrossRefPubMed 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: 327–235. 10.1111/cdoe.12035CrossRefPubMed
6.
Zurück zum Zitat 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: 211–218. 10.1159/000345534CrossRefPubMed 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: 211–218. 10.1159/000345534CrossRefPubMed
7.
Zurück zum Zitat Abanto J, Tello G, Bonini GC, Oliveira LB, Murakami C, Bönecker M: Impact of traumatic dental injuries and malocclusions on quality of life of preschool children: a population-based study. Int J Paediatr Dent in press Abanto J, Tello G, Bonini GC, Oliveira LB, Murakami C, Bönecker M: Impact of traumatic dental injuries and malocclusions on quality of life of preschool children: a population-based study. Int J Paediatr Dent in press
8.
Zurück zum Zitat Viegas CM, Scarpelli AC, Carvalho AC, Ferreira FM, Pordeus IA, Paiva SM: Impact of traumatic dental injury on quality of life among Brazilian preschool children and their families. Pediatr Dent 2012, 36: 300–307. Viegas CM, Scarpelli AC, Carvalho AC, Ferreira FM, Pordeus IA, Paiva SM: Impact of traumatic dental injury on quality of life among Brazilian preschool children and their families. Pediatr Dent 2012, 36: 300–307.
9.
Zurück zum Zitat Aldrigui JM, Abanto J, Carvalho TS, Mendes FM, Wanderley MT, Bönecker M, Raggio DO: Impact of traumatic dental injuries and malocclusions on quality of life of young children. Health Qual Life Outcomes 2011, 9: 78. 10.1186/1477-7525-9-78PubMedCentralCrossRefPubMed Aldrigui JM, Abanto J, Carvalho TS, Mendes FM, Wanderley MT, Bönecker M, Raggio DO: Impact of traumatic dental injuries and malocclusions on quality of life of young children. Health Qual Life Outcomes 2011, 9: 78. 10.1186/1477-7525-9-78PubMedCentralCrossRefPubMed
10.
Zurück zum Zitat Feitosa S, Colares V, Pinkham J: The psychosocial effects of severe caries in 4-year-old children in Recife, Pernambuco, Brazil. Cad Saude Publica 2005, 21: 1550–1556. 10.1590/S0102-311X2005000500028CrossRefPubMed Feitosa S, Colares V, Pinkham J: The psychosocial effects of severe caries in 4-year-old children in Recife, Pernambuco, Brazil. Cad Saude Publica 2005, 21: 1550–1556. 10.1590/S0102-311X2005000500028CrossRefPubMed
11.
Zurück zum Zitat Sousa RV, Pinto Monteiro AK, Martins CC, Granville-Garcia AF, Paiva SM: Malocclusion and socioeconomic indicators in primary dentition. Braz Oral Res 2013, 28: 54–60.CrossRef Sousa RV, Pinto Monteiro AK, Martins CC, Granville-Garcia AF, Paiva SM: Malocclusion and socioeconomic indicators in primary dentition. Braz Oral Res 2013, 28: 54–60.CrossRef
12.
Zurück zum Zitat Siqueira MB, Gomes MC, Oliveira AC, Martins CC, Granville-Garcia AF, Paiva SM: Predisposing factors for traumatic dental injury in primary teeth and seeking of post-trauma care. Braz Dent J 2013, 24: 647–654. 10.1590/0103-6440201302352CrossRefPubMed Siqueira MB, Gomes MC, Oliveira AC, Martins CC, Granville-Garcia AF, Paiva SM: Predisposing factors for traumatic dental injury in primary teeth and seeking of post-trauma care. Braz Dent J 2013, 24: 647–654. 10.1590/0103-6440201302352CrossRefPubMed
13.
Zurück zum Zitat Tesch FC, Oliveira BH, Leão A: Semantic equivalence of the Brazilian version of the Early Chilhood Oral Health Impact Scale. Cad Saude Publica 2008, 24: 1897–1909.CrossRefPubMed Tesch FC, Oliveira BH, Leão A: Semantic equivalence of the Brazilian version of the Early Chilhood Oral Health Impact Scale. Cad Saude Publica 2008, 24: 1897–1909.CrossRefPubMed
14.
Zurück zum Zitat Martins-Júnior PA, Ramos-Jorge J, Paiva SM, Marques LS, Ramos-Jorge ML: Validations of the Brazilian version of the early childhood oral health impact scale (ECOHIS). Cad Saude Publica 2012, 28: 367–374. 10.1590/S0102-311X2012000200015CrossRefPubMed Martins-Júnior PA, Ramos-Jorge J, Paiva SM, Marques LS, Ramos-Jorge ML: Validations of the Brazilian version of the early childhood oral health impact scale (ECOHIS). Cad Saude Publica 2012, 28: 367–374. 10.1590/S0102-311X2012000200015CrossRefPubMed
15.
Zurück zum Zitat 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. 10.1186/1477-7525-5-6PubMedCentralCrossRefPubMed 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. 10.1186/1477-7525-5-6PubMedCentralCrossRefPubMed
16.
Zurück zum Zitat Wong HM, McGrath CP, King NM, Lo EC: Oral health-related quality of life in Hong Kong preschool children. Caries Res 2011, 45: 370–376. 10.1159/000330231CrossRefPubMed Wong HM, McGrath CP, King NM, Lo EC: Oral health-related quality of life in Hong Kong preschool children. Caries Res 2011, 45: 370–376. 10.1159/000330231CrossRefPubMed
17.
Zurück zum Zitat Abanto J, Carvalho TS, Mendes FM, Wanderley MT, Bonecker 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: 105–114. 10.1111/j.1600-0528.2010.00580.xCrossRefPubMed Abanto J, Carvalho TS, Mendes FM, Wanderley MT, Bonecker 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: 105–114. 10.1111/j.1600-0528.2010.00580.xCrossRefPubMed
18.
Zurück zum Zitat Ismail AI, Sohn W, Tellez M, Amaya A, Sen A, Hasson H: The International Caries Detection and Assessment System (ICDAS): an Integrated System for Measuring Dental Caries. Community Dent Oral Epidemiol 2007, 35: 170–178. 10.1111/j.1600-0528.2007.00347.xCrossRefPubMed Ismail AI, Sohn W, Tellez M, Amaya A, Sen A, Hasson H: The International Caries Detection and Assessment System (ICDAS): an Integrated System for Measuring Dental Caries. Community Dent Oral Epidemiol 2007, 35: 170–178. 10.1111/j.1600-0528.2007.00347.xCrossRefPubMed
19.
Zurück zum Zitat Diniz MB, Rodrigues JA, Hug I, Cordeiro RC, Lussi A: Reproducibility and accuracy of the ICDAS-II for occlusal caries detection. Community Dent Oral Epidemiol 2009, 37: 399–404. 10.1111/j.1600-0528.2009.00487.xCrossRefPubMed Diniz MB, Rodrigues JA, Hug I, Cordeiro RC, Lussi A: Reproducibility and accuracy of the ICDAS-II for occlusal caries detection. Community Dent Oral Epidemiol 2009, 37: 399–404. 10.1111/j.1600-0528.2009.00487.xCrossRefPubMed
21.
Zurück zum Zitat David J, Astrøm AN, Wang NJ: Factors associated with traumatic dental injuries among 12-year-old schoolchildren in South India. Dent Traumatol 2009, 25: 500–505. 10.1111/j.1600-9657.2009.00807.xCrossRefPubMed David J, Astrøm AN, Wang NJ: Factors associated with traumatic dental injuries among 12-year-old schoolchildren in South India. Dent Traumatol 2009, 25: 500–505. 10.1111/j.1600-9657.2009.00807.xCrossRefPubMed
22.
Zurück zum Zitat Browner WS, Newman TB, Hulley SB: Estimating sample size and power: applications and exemples. In Designing Clinical Research. 3rd edition. Edited by: Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Philadelphia: Lippincott and Williams & Wilkins; 2007:65–94. Browner WS, Newman TB, Hulley SB: Estimating sample size and power: applications and exemples. In Designing Clinical Research. 3rd edition. Edited by: Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Philadelphia: Lippincott and Williams & Wilkins; 2007:65–94.
23.
Zurück zum Zitat Altman DG: Practical Statistics for Medical Research. 2nd edition. London: Chapman and Hall; 2006. Altman DG: Practical Statistics for Medical Research. 2nd edition. London: Chapman and Hall; 2006.
24.
Zurück zum Zitat Andreasen JO, Andreasen FM, Andersson L: Textbook and Color Atlas of Traumatic Injuries to the Teeth. 4th edition. Oxford: Blackwell; 2007. Andreasen JO, Andreasen FM, Andersson L: Textbook and Color Atlas of Traumatic Injuries to the Teeth. 4th edition. Oxford: Blackwell; 2007.
25.
Zurück zum Zitat Foster TD, Hamilton MC: Occlusion in the primary dentition. Study of children at 21 to 3 years of age. Br Dent J 1969, 126: 76–79.PubMed Foster TD, Hamilton MC: Occlusion in the primary dentition. Study of children at 21 to 3 years of age. Br Dent J 1969, 126: 76–79.PubMed
26.
Zurück zum Zitat Grabowski R, Stahl F, Gaebel M, Kundt G: Relationship between occlusal findings and orofacial myofunctional status in primary and mixed dentition. Part I: Prevalence of malocclusions. J Orofac Orthop 2007, 68: 26–37. 10.1007/s00056-007-1606-0CrossRefPubMed Grabowski R, Stahl F, Gaebel M, Kundt G: Relationship between occlusal findings and orofacial myofunctional status in primary and mixed dentition. Part I: Prevalence of malocclusions. J Orofac Orthop 2007, 68: 26–37. 10.1007/s00056-007-1606-0CrossRefPubMed
27.
Zurück zum Zitat Victora CG, Huttly SR, Fuchs SC, Olinto MTA: The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997, 26: 224–227. 10.1093/ije/26.1.224CrossRefPubMed Victora CG, Huttly SR, Fuchs SC, Olinto MTA: The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997, 26: 224–227. 10.1093/ije/26.1.224CrossRefPubMed
28.
Zurück zum Zitat Abanto J, Paiva SM, Raggio DP, Celiberti P, Aldrigui JM, Bönecker M: The impact of dental caries and trauma in children on family quality of life. Community Dent Oral Epidemiol 2012, 40: 323–331. 10.1111/j.1600-0528.2012.00672.xCrossRefPubMed Abanto J, Paiva SM, Raggio DP, Celiberti P, Aldrigui JM, Bönecker M: The impact of dental caries and trauma in children on family quality of life. Community Dent Oral Epidemiol 2012, 40: 323–331. 10.1111/j.1600-0528.2012.00672.xCrossRefPubMed
29.
Zurück zum Zitat Lee GHM, McGrath C, Yiu CKY, King NM: A comparison of a generic and oral health–specific measure in assessing the impact of early childhood caries on quality of life. Community Dent Oral Epidemiol 2010, 38: 333–339. 10.1111/j.1600-0528.2010.00543.xCrossRefPubMed Lee GHM, McGrath C, Yiu CKY, King NM: A comparison of a generic and oral health–specific measure in assessing the impact of early childhood caries on quality of life. Community Dent Oral Epidemiol 2010, 38: 333–339. 10.1111/j.1600-0528.2010.00543.xCrossRefPubMed
30.
Zurück zum Zitat Kiwanuka SN, Astrømn AN: Self reported dental pain and associated factors in Ugandan schoolchildren. Nor Epidemiol 2005, 15: 175–182. Kiwanuka SN, Astrømn AN: Self reported dental pain and associated factors in Ugandan schoolchildren. Nor Epidemiol 2005, 15: 175–182.
31.
Zurück zum Zitat Arora A, Bedros D, Bhole S, Do LG, Scott J, Blinkhorn A, Schwarz E: Child and family health nurses' experiences of oral health of preschool children: a qualitative approach. J Public Health Dent 2012, 72: 149–155. 10.1111/j.1752-7325.2011.00295.xCrossRefPubMed Arora A, Bedros D, Bhole S, Do LG, Scott J, Blinkhorn A, Schwarz E: Child and family health nurses' experiences of oral health of preschool children: a qualitative approach. J Public Health Dent 2012, 72: 149–155. 10.1111/j.1752-7325.2011.00295.xCrossRefPubMed
32.
Zurück zum Zitat Bönecker M, Abanto J, Tello G, Oliveira LB: Impact of dental caries on preschool children's quality of life: an update. Braz Oral Res 2012, 26: 103–107. 10.1590/S1806-83242012000700015CrossRefPubMed Bönecker M, Abanto J, Tello G, Oliveira LB: Impact of dental caries on preschool children's quality of life: an update. Braz Oral Res 2012, 26: 103–107. 10.1590/S1806-83242012000700015CrossRefPubMed
33.
Zurück zum Zitat Kramer PF, Ardenghi TM, Ferreira S, Fischer LA, Cardoso L, Feldens CA: Use of dental services by preschool children in Canela, Rio Grande do Sul State, Brazil. Cad Saude Publica 2008, 24: 150–156. 10.1590/S0102-311X2008000100015CrossRefPubMed Kramer PF, Ardenghi TM, Ferreira S, Fischer LA, Cardoso L, Feldens CA: Use of dental services by preschool children in Canela, Rio Grande do Sul State, Brazil. Cad Saude Publica 2008, 24: 150–156. 10.1590/S0102-311X2008000100015CrossRefPubMed
34.
Zurück zum Zitat Machry RV, Tuchtenhagen S, Agostini BA, Teixeira CRS, Piovesan C, Mendes FM, Ardenghi TM: Socioeconomic and psychosocial predictors of dental healthcare use among Brazilian preschool children. BMC Oral Health 2013, 13: 60. 10.1186/1472-6831-13-60PubMedCentralCrossRefPubMed Machry RV, Tuchtenhagen S, Agostini BA, Teixeira CRS, Piovesan C, Mendes FM, Ardenghi TM: Socioeconomic and psychosocial predictors of dental healthcare use among Brazilian preschool children. BMC Oral Health 2013, 13: 60. 10.1186/1472-6831-13-60PubMedCentralCrossRefPubMed
35.
Zurück zum Zitat Carvalho AC, Paiva SM, Viegas CM, Scarpelli AC, Ferreira FM, Pordeus IA: Impact of Malocclusion on Oral Health-Related Quality of Life among Brazilian Preschool Children: a Population-Based Study. Braz Dent J 2013, 24: 655–661. 10.1590/0103-6440201302360CrossRefPubMed Carvalho AC, Paiva SM, Viegas CM, Scarpelli AC, Ferreira FM, Pordeus IA: Impact of Malocclusion on Oral Health-Related Quality of Life among Brazilian Preschool Children: a Population-Based Study. Braz Dent J 2013, 24: 655–661. 10.1590/0103-6440201302360CrossRefPubMed
36.
Zurück zum Zitat Hertwig R, Davis JN, Sulloway FJ: Parental investment: how an equity motive can produce inequality. Psychol Bull 2002, 128: 728–745.CrossRefPubMed Hertwig R, Davis JN, Sulloway FJ: Parental investment: how an equity motive can produce inequality. Psychol Bull 2002, 128: 728–745.CrossRefPubMed
37.
Zurück zum Zitat Hearton TB, Forste R, Hoffmann JP, Flake D: Cross-national variation in family influences on child health. Soc Sci Med 2005, 60: 97–108. 10.1016/j.socscimed.2004.04.029CrossRef Hearton TB, Forste R, Hoffmann JP, Flake D: Cross-national variation in family influences on child health. Soc Sci Med 2005, 60: 97–108. 10.1016/j.socscimed.2004.04.029CrossRef
38.
Zurück zum Zitat Wellappuli N, Amarasena N: Influence of family structure on dental caries experience of preschool children in Sri Lanka. Caries Res 2012, 46: 208–212. 10.1159/000337399CrossRefPubMed Wellappuli N, Amarasena N: Influence of family structure on dental caries experience of preschool children in Sri Lanka. Caries Res 2012, 46: 208–212. 10.1159/000337399CrossRefPubMed
39.
Zurück zum Zitat Wandera M, Kayondo J, Engebretsen IM, Okullo I, Astrom AN: Factors associated with caregivers’ perception of children’s health and oral health status: a study of 6- to 36-month-olds in Uganda. Int J Paediatr Dent 2009, 19: 251–262. 10.1111/j.1365-263X.2009.00969.xCrossRefPubMed Wandera M, Kayondo J, Engebretsen IM, Okullo I, Astrom AN: Factors associated with caregivers’ perception of children’s health and oral health status: a study of 6- to 36-month-olds in Uganda. Int J Paediatr Dent 2009, 19: 251–262. 10.1111/j.1365-263X.2009.00969.xCrossRefPubMed
40.
Zurück zum Zitat Thikkurissy S, Allen PH, Smiley MK, Casamassimo PS: Waiting for the pain to get worse: characteristics of a pediatric population with acute dental pain. Pediatr Dent 2012, 34: 289–294.PubMed Thikkurissy S, Allen PH, Smiley MK, Casamassimo PS: Waiting for the pain to get worse: characteristics of a pediatric population with acute dental pain. Pediatr Dent 2012, 34: 289–294.PubMed
Metadaten
Titel
Impact of oral health conditions on the quality of life of preschool children and their families: a cross-sectional study
verfasst von
Monalisa Cesarino Gomes
Tassia Cristina de Almeida Pinto-Sarmento
Edja Maria Melo de Brito Costa
Carolina Castro Martins
Ana Flávia Granville-Garcia
Saul Martins Paiva
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
Health and Quality of Life Outcomes / Ausgabe 1/2014
Elektronische ISSN: 1477-7525
DOI
https://doi.org/10.1186/1477-7525-12-55

Weitere Artikel der Ausgabe 1/2014

Health and Quality of Life Outcomes 1/2014 Zur Ausgabe