Literature DB >> 23758709

Do we need more than one Child Perceptions Questionnaire for children and adolescents?

Lyndie A Foster Page1, Dorothy Boyd, W Murray Thomson.   

Abstract

BACKGROUND: In dentistry, measures of oral health-related quality of life (OHRQoL) provide essential information for assessing treatment needs, making clinical decisions and evaluating interventions, services and programmes. The two most common measures used to examine child OHRQoL today are the Child Perceptions Questionnaire at two ages, 8-10 and 11-14 (CPQ₈₋₁₀, CPQ₁₁₋₁₄). The reliability and validity of these two versions have been demonstrated together with that (more recently) of the short-form 16-item impact version of the CPQ₈₋₁₀. This study set out to examine the reliability and validity of the Child Oral Health Quality of Life Questionnaires (COHQOL) instruments the CPQ₈₋₁₀ and impact short-form CPQ₁₁₋₁₄ in 5-to-8-year-old New Zealand children, and to determine whether a single measure for children aged 5-14 is feasible.
METHOD: A cross-sectional survey was conducted of 5-to-8-year-old children attending for dental treatment in community clinics in 2011. Children were examined for dental caries, with OHRQoL measured using the CPQ₈₋₁₀and short-form CPQ₁₁₋₁₄. Construct validity was evaluated by comparing mean scale scores across ordinal categories of caries experience; correlational construct validity was assessed by comparing mean CPQ scores across children's global ratings of oral health and well-being.
RESULTS: The 183 children (49.7% female) aged 5 to 8 years who took part in the study represent a 98.4% participation rate. The overall mean dmft was 6.0 (SD, 2.0 range 1 to 13). Both questionnaire versions detected differences in the impact of dental caries on quality of life, with the greatest scores in the expected direction. Both versions showed higher scores among those with poorer oral health. There was a very strong and positive correlation between CPQ₁₁₋₁₄ scores and CPQ₈₋₁₀ scores (Pearsons's r = 0.98; P < 0.01).
CONCLUSION: The performance of both versions of the COHQOL measures (CPQ₈₋₁₀ and short-form CPQ₁₁₋₁₄) appears to be acceptable in this younger age group, and this work represents the first stage in validating this questionnaire in a younger age group. It also further confirms that younger children are capable of providing their own perceptions of oral health impacts. The acceptability of the short-from CPQ₁₁₋₁₄ in this younger age group lends support to its use in children between ages 5 and 14.

Entities:  

Mesh:

Year:  2013        PMID: 23758709      PMCID: PMC3686591          DOI: 10.1186/1472-6831-13-26

Source DB:  PubMed          Journal:  BMC Oral Health        ISSN: 1472-6831            Impact factor:   2.757


Background

Dental caries is the most common chronic childhood condition afflicting New Zealanders. It is known to affect children’s development, school performance, and behaviour, as well as affecting their families and the wider community [1,2]. This problem is not unique to New Zealand but is a major health issue affecting children in many countries [3]. Increasingly, investigations of oral diseases and disorders are using clinical disease and psychosocial measures concurrently, recognising the importance of using health-related quality of life evaluations in clinical studies. This has led to a growth in the number and use of condition-specific instruments [4]. In dentistry, measures of oral health-related quality of life (OHRQoL) provide essential information for assessing treatment needs, making clinical decisions and evaluating interventions, services and programmes. Measures currently available for children include the Child Oral Health Quality of Life (COHQOL) questionnaires [5-8], the Child Oral Health Impact Profile (COHIP) [9], the Child-Oral Impacts on Daily Performances (Child-OIDP [10], the Early Childhood Oral Health Impact Scale (ECOHIS) [11], and the Scale of Oral Health Outcomes (SOHO-5) [12]. To date, the COHQOL has been most frequently used; it is a set of scales measuring the negative effects of oral and orofacial disorders on the well-being of 6-14-year-olds and their families. The scales comprise the Child Perceptions Questionnaire at two ages, 8–10 and 11–14 (CPQ8-10, CPQ11-14), the Parental-Caregiver Perceptions Questionnaire (P-CPQ) and the Family Impact Scale (FIS). The Child Perceptions Questionnaire at age 6–8 was never developed or validated however, the reliability and validity of the two CPQ versions has been demonstrated [8,13], together with that (more recently) of the short-form 16-item impact version of the CPQ11-14[14]. However, the use of two separate measures limits the ability of the CPQ to be used in prospective studies following children through different life stages. By contrast, the COHIP was developed as an instrument for use with children aged from 8 to 18 years. Having a single measure which can be used longitudinally in children over a ten-year age span is a considerable advantage [15]. Measures for children younger than 8 years old remain problematic. Until recently, their OHRQoL was measured using parents as informants, because of concerns that children’s reports would not meet accepted psychometric standards of validity and reliability, largely because of limitations in the respondents’ cognitive capacities and communication skills. Accordingly, the P-CPQ was developed for use with younger children and provides a measure of a child’s OHRQoL. Where both parental and child reports are used, the P-CPQ can be regarded as complementing the latter, thus providing a comprehensive profile of a child’s health and well-being [7]. Until very recently, there has been no self-report measure for children under age 8 because of the methodological and conceptual challenges of developing OHRQoL measures for young children [12]. Around the age of 6 marks the beginning of abstract thinking and self-concept for children [16]. Children start to compare their physical features and personality traits, either with those of other children or against a norm. Their ability to make evaluative judgments of their appearance, the quality of friendships and other people’s thoughts, emotions and behaviours develops through middle childhood [16]. Gradually, by the age of 8, they develop the concepts of time and frequency of event [17]. All of these challenges have led to a lack of measures for children under the age of 8, although the recent development of the Scale of Oral Health Outocmes (SOHO-5) has resulted in a self-report OHRQoL measure for 5-year-old children. The initial assessment showed acceptable reliability and validity in 332 UK children [12]. With the encouraging finding that children as young as five can use a self-report OHRQoL measure, the aim of this study was to determine whether the COHQOL measures (the CPQ8-10 and short-form CPQ11-14) are reliable and valid in younger New Zealand children, and whether it is feasible to use a single CPQ measure for children aged 5 to 14.

Method

A survey was conducted of approximately 200 5- to 8-year-old children attending for dental treatment in Hawkes Bay community clinics in 2011. The number of children chosen for this study was to assist in informing sample size determination for a larger multicentre trial. Ethical approval was obtained from the Central Regional Ethics Committee. Consent was obtained from both parent and child before proceeding.

Sociodemographic characteristics

Information was gathered on each child’s sex, age and ethnicity. The children were categorized into two age groups, with “older” being the 7- and 8-year-olds, and “younger” being the 5- and 6-year-olds. An area-based deprivation measure [18] was used to allocate each participant to a deprivation decile score, based on the residential address. Areas with scores 1 to 3 were classified as “low deprivation”; those with scores 8 to 10 were classified as “high deprivation”.

Clinical measures

Qualified dental therapists undertook routine clinical examinations, having been trained in the study protocol at the community clinics. Baseline charting recorded for each child included decayed, missing and filled deciduous teeth. Posterior bitewing radiographs were also taken, and these were used to amend the children’s dmft scores appropriately. Intra-examiner reliability was undertaken on twenty films by one experienced clinician who read all the radiographs, with ICC = 0.82.

OHRQoL measures

Oral health-related quality of life was measured using both the 16-item impact short-form CPQ11-14-ISF:16 questionnaire and the 25-item CPQ8-10 (Table 1). The overlap in item content between the two questionnaires enabled both versions to be incorporated into a 26-item questionnaire. The reference period used for both was the previous four weeks, as originally used in the CPQ8-10 questionnaire [8]. Response options and scores were: ‘Never’ (scoring 0); ‘once or twice’ (1); ‘Sometimes’ (2); ‘Often’ (3); and ‘Every day or almost every day’ (4). An overall CPQ11-14 and CPQ8-10 score was computed by summing the appropriate item scores for each measure, with a higher score indicating poorer OHRQoL. Test-retest reliability was not examined for either measure. Childrens’ perceptions of their oral health were assessed using two global measures. First, they were asked to rate the health of their teeth and mouth (response options: ‘Very good’, ‘Good’, ‘OK’ or ‘Poor’). Second, they were asked how much their teeth or mouth bother them (response options: ‘Not at all’, ‘A little bit’, ‘Some’ or ‘A lot’). The research assistant administered the questionnaire and read each question to the child.
Table 1

Comparison of item content of the CPQ-ISF:16 and the CPQ

In the past 4 weeks, how often have you (had/been) because of your teeth/mouth
DomainCPQ11-14ISF:16-specific itemsItems common to ISF:16 and CPQ8-10CPQ8-10-specific items
OSa
 
Pain in teeth/mouth
 
 
 
Bad breath
 
 
 
Mouth sores
Difficulty eating, drinking hot/cold foods
 
 
Food caught between teeth
 
FLb
Difficulty eating/drinking hot/cold foods
Difficulty chewing firm foods
Trouble sleeping
 
 
Difficulty saying words
Trouble eating foods you like
 
 
Taken longer to eat a meal
 
EWc
 
Upset
 
 
 
Felt irritated/frustrated
Worried not as good looking
 
 
Felt shy
 
 
 
Concerned what people think about teeth/mouth
 
SWd
 
Teased/called names
Not wanted to speak/read loud in class
 
Argued with children/family
Avoided smiling/laughing
Missed school
 
 
Asked questions
Hard time doing your homework
 
 
 
Hard time paying attention in school
 
 
 
Stayed away from activities
 
 
 
Avoided being with other children
   Avoided talking with other children

aOral symptoms bFunctional limitations cEmotional well-being dSocial well-being.

Comparison of item content of the CPQ-ISF:16 and the CPQ aOral symptoms bFunctional limitations cEmotional well-being dSocial well-being. Data were analysed with SPSS (version 18.0). The computation of descriptive statistics was followed by bivariate analyses, which used Chi-square tests for comparing proportions; Mann–Whitney or Kruskal-Wallis tests were used (as appropriate) for comparing scores for continuous variables (where these were not normally distributed). Where continuous variables were normally distributed, ANOVA was used to compare means. The alpha value was set at 0.05. Spearman’s rank correlation coefficients were computed to inform the assessment of associations among sociodemographic, clinical and psychosocial characteristics. Pearson’s r was used to examine the correlation between scores on the two scales (CPQ11-14 and CPQ8-10).

Results

The 183 5-to-8-year-olds (49.7% female) who took part in the study represent a 98.4% participation rate. Just over half (50.4%) were Māori, and almost half (44.8%) resided in highly deprived areas. The overall mean dmft was 6.0 (SD, 2.0; range 1 to 13). Scores ranged from 0 to 43 for the CPQ8-10 and 0 to 37 for the CPQ11-14 (Table 2), and these and the domain scores were positively skewed. Both versions detected substantial variability in children’s perception of their OHRQoL, as shown by their scores. Floor effects were substantial for both versions (as evidenced by approximately 14% responding with no impact), while ceiling effects were not apparent. Substantial internal consistency reliability was apparent for each of the two questionnaires (and domains), with that of the CPQ8-10 version being superior to that of the CPQ11-14 version.
Table 2

Descriptive statistics and internal consistency reliability data for the CPQ, CPQand their subscales

 Number of itemsMean score (SD)Cronbach’s alpha (α)Range of observed scoresPercentage with score 0Percentage with maximum score
CPQ11-14
16
6.6 (6.6)
0.83
0 to 37
14.3
0.0
Subscales
  Oral symptoms
4
3.1 (2.9)
0.72
0 to 14
18.2
0.0
  Functional limitations
4
2.0 (2.6)
0.65
0 to 12
39.8
0.0
  Emotional well-being
4
1.0 (1.8)
0.69
0 to 10
61.1
0.0
  Social well-being
4
0.6 (1.5)
0.71
0 to 11
72.1
0.0
CPQ8-10
25
7.8 (8.4)
0.87
0 to 43
13.7
0.0
Subscales
  Oral symptoms
5
3.7 (3.5)
0.76
0 to 17
16.9
0.0
  Functional limitations
5
2.0 (2.8)
0.71
0 to 14
43.2
0.0
  Emotional well-being
5
1.1 (2.0)
0.70
0 to 12
57.9
0.0
  Social well-being103.0 (3.2)0.770 to 1467.00.0
Descriptive statistics and internal consistency reliability data for the CPQ, CPQand their subscales There was a very strong and positive correlation between scores on the CPQ11-14 and the CPQ8-10, with a Pearson's r of 0.981 (P < 0.01) for all children, and Pearsons’s r values of 0.983 (P < 0.01) and 0.981 (P < 0.01) for the younger and older categories of children respectively. A scatterplot of scale scores for all children depicts the strength of that association (Figure 1).
Figure 1

Scatterplot of scale scores of the CPQand CPQ. Legend: ° = CPQ score.

Scatterplot of scale scores of the CPQand CPQ. Legend: ° = CPQ score. Both questionnaire versions detected differences in the impact of dental caries on quality of life, with the greatest scores in the expected direction: children who presented with the highest caries burden had the highest scores (Table 3). The differences for both questionnaires were statistically significant (as were those representing the oral symptoms domain). There was a gender difference in the overall CPQ11-14 and CPQ8-10 scores, with females scoring higher than males. There was a distinct deprivation gradient with both CPQ versions, with children from families living in highly deprived areas having higher scores than those in less deprived areas.
Table 3

Mean CPQ, CPQand domains by sociodemographic characteristics and caries experience (brackets contain standard deviation unless otherwise indicated)

 
 
Oral symptoms
Functional limitations
Emotional well-being
Social well-being
 CPQ11-14CPQ8-10CPQ11-14CPQ8-10CPQ11-14CPQ8-10CPQ11-14CPQ8-10CPQ11-14CPQ8-10
All children
6.6 (6.6)
8.4 (7.8)
3.1 (2.9)
3.7 (3.5)
2.0 (2.6)
2.0 (2.8)
1.0 (1.8)
2.1 (2.0)
0.6 (1.5)
1.1 (2.4)
  Older
7.2 (7.0)a
8.4 (8.9)
3.4 (3.0)a
4.1 (3.6)a
2.1 (2.5)
2.1 (2.8)
1.1 (2.0)
2.2 (2.2)
0.7 (1.7)
1.2 (2.7)
  Younger
5.1 (5.5)
6.2 (6.9)
2.2 (2.4)
3.0 (3.2)
1.9 (2.7)
1.8 (2.8)
0.7 (1.1)
1.7 (1.3)
0.3 (0.7)
0.7 (1.4)
Sex
 
 
 
 
 
 
 
 
 
 
  Male
5.4 (5.1)a
6.1 (5.9)a
2.8 (2.5)
3.5 (3.2)
1.8 (2.3)
1.5 (2.2)
0.6 (1.0)a
1.6 (1.0)
0.4 (1.2)
0.7 (1.8)a
  Female
7.7 (7.7)
9.4 (10.0)
3.4 (3.2)
4.0 (3.8)
2.2 (2.8)
2.5 (3.2)
1.3 (2.3)
2.5 (2.5)
0.8 (1.7)
1.5 (2.8)
Ethnicity
 
 
 
 
 
 
 
 
 
 
  NonMāori
6.5 (6.2)
7.5 (7.3)
3.1 (2.9)
3.7 (3.4)
2.1 (2.7)
2.0 (2.6)
1.0 (1.3)
2.1 (1.9)
0.6 (1.3)
1.0 (2.0)
  Māori
6.6 (7.0)
8.0 (9.3)
3.1 (3.0)
3.7 (3.6)
1.9 (2.5)
2.0 (2.9)
0.9 (1.9)
2.1 (2.1)
0.6 (1.6)
1.2 (2.7)
NZDeph
 
 
 
 
 
 
 
 
 
 
  High
7.5 (7.9)
9.2 (10.0)
3.5 (3.4)
4.1 (4.1)
2.2 (2.8)
2.3 (3.1)
1.1 (2.1)
2.3 (2.2)
0.9 (2.0)
1.7 (2.9)a
  Medium
6.0 (5.9)
6.9 (7.3)
2.6 (2.3)
3.3 (2.7)
2.0 (2.5)
1.9 (2.7)
0.9 (1.7)
2.0 (2.0)
0.5 (1.1)
0.7 (2.0)
  Low
5.7 (4.2)
6.6 (4.9)
3.2 (2.6)
3.9 (3.3)
1.7 (1.9)
1.6 (1.8)
0.7 (1.0)
1.7 (1.0)
0.1 (0.4)
0.4 (1.1)
dmft tertiles
 
 
 
 
 
 
 
 
 
 
  Low (dmft ≤ 4)
5.1 (5.3)ab
5.9 (6.2)ad
2.4 (2.6)af
3.0 (3.2)ag
1.6 (2.3)
1.5 (2.3)
0.5 (0.9)
1.6 (0.9)
0.6 (1.3)
0.8 (1.6)
  Med (dmft 5 + 6)
5.7 (7.3)bc
6.8 (9.4)de
2.5 (2.7)f
3.1 (3.3) g
1.7 (2.3)
1.7 (2.8)
0.9 (2.0)
1.9 (2.1)
0.6 (1.8)
1.1 (3.0)
  High (dmft ≥ 7)7.9 (6.6)c9.5 (8.5)e3.9 (3.0)4.7 (3.7)2.5 (2.9)2.5 (3.0)1.1 (1.7)2.2 (1.9)0.6 (1.4)1.3 (2.3)

a P < 0.05 Kruskal-Wallis/Mann–Whitney.

bcdefg Superscript letters with the same symbols indicate groups which do not differ significantly by post hoc criteria.

h data missing for 15 children.

Mean CPQ, CPQand domains by sociodemographic characteristics and caries experience (brackets contain standard deviation unless otherwise indicated) a P < 0.05 Kruskal-Wallis/Mann–Whitney. bcdefg Superscript letters with the same symbols indicate groups which do not differ significantly by post hoc criteria. h data missing for 15 children. Both versions of the CPQ showed higher scores among those with poorer oral health (Table 4), with the differences in CPQ8-10 scores being of greater magnitude. Both versions of the questionnaire demonstrated positive, statistically significant, and very similar correlations with self-rated oral health and overall impact on quality of life.
Table 4

Mean CPQand CPQscores by global oral health questions (SD)

 
CPQ11-14
CPQ8-10
 AllOlderYoungerAllOlderYounger
Self-rated oral health
 
 
 
 
 
 
  Very good
5.7 (6.5)a
6.8 (7.1)
3.3 (4.2)a
6.6 (8.2)a
7.8 (9.1)
4.1 (5.2)a
  Good
5.7 (5.5)
6.1 (5.5)
4.7 (5.6)
6.8 (7.0)
7.2 (6.8)
5.6 (7.5)
  OK/Poor
8.6 (7.9)
9.0 (8.5)
7.5 (6.0)
10.2 (9.8)
10.7 (10.9)
9.1 (6.8)
  Spearman's rho
0.20 c
0.13
0.36 c
0.22 c
0.15
0.36 c
Impact of oral health on quality of life
 
 
 
 
 
 
  Not at all
4.5 (4.9)b
5.0 (5.4)b
3.3 (3.5)b
5.1 (5.9)b
5.5 (6.3)b
4.1 (4.7)b
  A little bit
7.8 (7.0)
9.0 (7.4)
3.8 (2.9)
9.2 (8.5)
10.5 (9.1)
4.7 (3.3)
  Some/A lot
10.7 (8.1)
10.1 (8.5)
11.9 (7.5)
13.5 (11.3)
13.2 (12.3)
14.2 (9.8)
  Spearmans rho0.34 c0.34 c0.45 c0.40 c0.37 c0.46 c

a p-value < 0.05 Kruskal-Wallis.

b p-value < 0.01 Kruskal-Wallis.

c correlation significant at 0.01 level.

Mean CPQand CPQscores by global oral health questions (SD) a p-value < 0.05 Kruskal-Wallis. b p-value < 0.01 Kruskal-Wallis. c correlation significant at 0.01 level.

Discussion

This is the first study (to our knowledge) to examine the COHQOL CPQ versions in a younger age group. At the time of this study, no validated self-report OHRQoL measure was available for children of this age. Both versions of the COHQOL measures (CPQ8-10 and short-form CPQ11-14) appear to be acceptable in this younger age group, and the data further confirm that younger children are capable of providing their own perceptions of oral health impacts. The acceptability of the short-form CPQ11-14 in this younger age group lends support to utilising this version from age 5 to 14. A weakness of this study is that the children comprise a convenience sample of participants in a clinical study, whereby children who required treatment were invited to take part; hence, the findings may not be generalisable. However, a strength is the high participation rate, with 183 of the 186 children invited having consent and assenting to take part. Among the study’s other strengths were that the questionnaire was administered to children by a trained research assistant, and the clinical data collection included radiographic diagnosis of caries giving a more accurate estimate of clinical caries status due to the general underestimation of carious lesions where radiographic diagnosis is not used [19]. The psychometric properties of both versions of the CPQ were found to be acceptable in this younger age group. The single item in the CPQ11-14 that is not present in the CPQ8-10 version (“Argued with children/family”) is found in the social well-being domain. Despite the former having only 16 items, Cronbach’s alpha was 0.83, well above the arbitrary threshold of 0.7 [20] and only slightly less than the 0.87 observed for the 25-item CPQ8-10. Instruments with greater numbers of items tend to have higher alpha values [21], but the 16-item CPQ11-14 revealed good internal consistency overall; its social well-being domain had a Cronbach alpha value of 0.71 with only 4 items, while the 10 items in the CPQ8-10 version had an alpha of 0.77. Floor effects did appear to be a problem with both versions, with the scores for the emotional and social well-being domains being very high, and the CPQ11-14 having the greatest. Whether this is problematic is unclear at this stage; further investigation in other populations and settings is warranted. To further support the performance of these versions, the observed gradients in mean scores for both versions across the categories of the global items show that the concurrent validity was excellent. This means that, even at this young age, children are aware of their poor oral health status and the impact on their quality of life. Where construct validity is concerned, the associations with oral health were strong and significant and in the hypothesised direction (with poorer oral health in the children with the greatest caries experience). Children with more caries had oral symptoms domain scores which were significantly higher than for those with less caries. This was also the case for the functional limitations domain scores for the CPQ8-10 (but not for the CPQ11-14). Gradients with caries experience were apparent across scores for all of the domains (except for social well-being in the CPQ11-14). A criticism of these findings is that they could be due to the children not understanding the items in either instrument due to the language used. While this is possible, it is unlikely given the consistency of the gradients across the response categories of the global OHRQoL item in Table 4: these suggest strongly that the younger children’s understanding of the items was as good as that of the older children. Thus, while there may be a theoretical objection to using the instrument with younger children, the empirical data do not support it. There was a difference between the two original versions in the reference period used: the CPQ8-10 had been validated with a 4-week reference period and the CPQ11-14 validated with a 3-month one. This introduced the challenge of which to use in this younger age group. We opted to use the 4-week reference period because a shorter time frame has been supported for use with younger children, with reference to the previous seven days having been advocated previously [22]. However, as with the development of the SOHO-5, we felt that very few children would have experienced the impact of caries within such a short time frame [12]. The 4-week interval appeared to be acceptable for these younger children. Developing a valid and reliable OHRQoL measure for young children has important implications because it can enhance understanding of how oral conditions affect the life of younger children. Dental caries is a chronic disease which affects many young children, with 50% of New Zealand 5-year-olds having experienced it [1]. It is thus important to measure how this impacts on children’s day-to-day lives and whether changes in clinical care may affect this. The CPQ versions have shown validity and reliability in older age groups and now appear to show some promise for use in a younger age group.

Conclusion

It appears that it is practical to use the CPQ11-14 with children as young as five years old, although this study represents the first stage in validating this questionnaire for children younger than those for whom it was originally designed. However, further research with population-based samples and in other settings is required in order to confirm the findings from this clinical sample of children with relatively high caries experience. Further work is necessary to determine the appropriateness of the language for the younger age group.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors have made substantive contribution to this study and manuscript and have reviewed the final paper. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6831/13/26/prepub
  16 in total

1.  The measurement of quality of life in young children.

Authors:  C Eiser; H Mohay; R Morse
Journal:  Child Care Health Dev       Date:  2000-09       Impact factor: 2.508

2.  Validation of the Child Perceptions Questionnaire (CPQ 11-14).

Authors:  L A Foster Page; W M Thomson; A Jokovic; D Locker
Journal:  J Dent Res       Date:  2005-07       Impact factor: 6.116

3.  Questionnaire for measuring oral health-related quality of life in eight- to ten-year-old children.

Authors:  Aleksandra Jokovic; D Locker; B Tompson; G Guyatt
Journal:  Pediatr Dent       Date:  2004 Nov-Dec       Impact factor: 1.874

4.  Validity and reliability of a questionnaire for measuring child oral-health-related quality of life.

Authors:  A Jokovic; D Locker; M Stephens; D Kenny; B Tompson; G Guyatt
Journal:  J Dent Res       Date:  2002-07       Impact factor: 6.116

5.  Epidemiological evaluation of short-form versions of the Child Perception Questionnaire.

Authors:  L A Foster Page; W M Thomson; A Jokovic; D Locker
Journal:  Eur J Oral Sci       Date:  2008-12       Impact factor: 2.612

6.  What difference does using bitewing radiographs make to epidemiological estimates of dental caries prevalence and severity in a young adolescent population with high caries experience?

Authors:  S Gowda; W M Thomson; L A Foster Page; N A Croucher
Journal:  Caries Res       Date:  2009-10-28       Impact factor: 4.056

7.  Changes in parent-assessed oral health-related quality of life among young children following dental treatment under general anaesthetic.

Authors:  P E Malden; W M Thomson; A Jokovic; D Locker
Journal:  Community Dent Oral Epidemiol       Date:  2008-04       Impact factor: 3.383

8.  Questionnaire development: face validity and item impact testing of the Child Oral Health Impact Profile.

Authors:  Hillary L Broder; Colman McGrath; George J Cisneros
Journal:  Community Dent Oral Epidemiol       Date:  2007-08       Impact factor: 3.383

9.  Concordance between caregiver and child reports of children's oral health-related quality of life.

Authors:  Maureen Wilson-Genderson; Hillary L Broder; Ceib Phillips
Journal:  Community Dent Oral Epidemiol       Date:  2007-08       Impact factor: 3.383

10.  Developing a new self-reported scale of oral health outcomes for 5-year-old children (SOHO-5).

Authors:  Georgios Tsakos; Yvonne I Blair; Huda Yusuf; William Wright; Richard G Watt; Lorna M D Macpherson
Journal:  Health Qual Life Outcomes       Date:  2012-06-07       Impact factor: 3.186

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  8 in total

1.  Status and perception of oral health in 6-17-year-old psychiatric inpatients-randomized controlled trial.

Authors:  I M Schüler; B Bock; R Heinrich-Weltzien; K Bekes; M Rudovsky; Ch Filz; C Ligges
Journal:  Clin Oral Investig       Date:  2017-02-16       Impact factor: 3.573

2.  Oral health-related quality of life determinants throughout adolescence: a cohort study in Brazil.

Authors:  Fernanda Ruffo Ortiz; Bruno Emmanuelli; Amanda Michelon de Campos; Thiago Machado Ardenghi
Journal:  Qual Life Res       Date:  2022-03-31       Impact factor: 4.147

3.  Translation and psychometric properties of the Chinese (Mandarin) version of the Child Oral Health Impact Profile-Short Form 19 (COHIP-SF 19) for school-age children.

Authors:  Chenghao Li; Bin Xia; Yu Wang; Xuelin Guan; Junwei Yuan; Lihong Ge
Journal:  Health Qual Life Outcomes       Date:  2014-11-30       Impact factor: 3.186

4.  The potential of the Child Health Utility 9D Index as an outcome measure for child dental health.

Authors:  Lyndie A Foster Page; W Murray Thomson; Zoe Marshman; Katherine J Stevens
Journal:  BMC Oral Health       Date:  2014-07-16       Impact factor: 2.757

5.  Quality of Life Following Early Orthodontic Therapy for Anterior Crossbite: Report of Cases in Twin Boys.

Authors:  Eluza Piassi; Leonardo Santos Antunes; Marcia Rejane Thomas Canabarro Andrade; Lívia Azeredo Alves Antunes
Journal:  Case Rep Dent       Date:  2016-09-22

6.  Cross-Cultural Adaptation of Persian Version of Scale of Oral Health Outcomes for 5-Year-Old Children.

Authors:  Imaneh Asgari; Elaheh Kazemi
Journal:  J Dent (Tehran)       Date:  2017-01

7.  Development and evaluation of CARIES-QC: a caries-specific measure of quality of life for children.

Authors:  Fiona Gilchrist; Helen D Rodd; Chris Deery; Zoe Marshman
Journal:  BMC Oral Health       Date:  2018-12-04       Impact factor: 2.757

8.  Oral Health-Related Quality of Life in Dutch Children Diagnosed with Oligodontia. A Cross-Sectional Study.

Authors:  Marieke A P Filius; Marco S Cune; Marijn Créton; Arjan Vissink; Gerry M Raghoebar; Anita Visser
Journal:  Int J Environ Res Public Health       Date:  2019-07-04       Impact factor: 3.390

  8 in total

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