Racial Differences in Oral Health-Related Quality of Life: A Multilevel Analysis in Brazilian Children

Emmanuelli, Bruno; Kucner, Ângela Aniszewski; Ostapiuck, Marjana; Tomazoni, Fernanda; Agostini, Bernardo Antônio; Ardenghi, Thiago Machado

doi:10.1590/0103-6440201300478

Cited by 11 publications

(12 citation statements)

References 19 publications

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“…Non-Maasais had higher odds of reporting any OIDP than the Maasais and ethnic group was strongly and independently associated with oral impacts after adjustment for oral diseases and socio-demographic factors. Although comparable studies from sub Saharan Africa are lacking, reports from high income countries have shown that non-White individuals or minority ethnic groups are more likely to have oral impacts than their white majority ethnic group counterparts [43,44]. The influence of ethnicity on oral health is linked to, socioeconomic, behavioral and psychosocial factors that varied across the ethnic groups [45].…”

Section: Discussionmentioning

confidence: 99%

Oral impacts on daily performances and its socio-demographic and clinical distribution: a cross-sectional study of adolescents living in Maasai population areas, Tanzania

Simangwa

Johansson

Minja

et al. 2020

Health Qual Life Outcomes

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Background: In a global perspective, oral health among adolescents has improved during recent decades. However, oral problems still persist especially in many underprivileged societies. This study aimed to estimate the prevalence of oral impacts in adolescents and to identify important clinical-and socio-demographic covariates. In addition, this study compares Maasai and non-Maasai adolescents regarding any association of socio-demographic and clinical covariates with oral impacts on daily performances. Methods: A total of 989 adolescents were invited from 23 randomly selected public primary schools in Monduli and Longido districts, Tanzania. All adolescents attending 6th grade classes were invited to participate. A total of 930 accepted and of those 24 were excluded, leaving 906 (91.6%) participants for the study. Results: A total of 143/906 (15.8%) had at-least one oral impact on daily performances (OIDP > 0), 14.6% among the Maasai and 20.5% among the non-Maasai ethnic group. Cluster adjusted logistic regression revealed that: adolescents from Longido district (OR = 0.4) and adolescents with good oral hygiene (OR = 0.7) were less likely to report OIDP> 0 and; non Maasai (OR = 1.6), those with least poor parents (OR = 2.0), DMFT> 0 (OR = 3.1) and those with positive answers to questions regarding TMD pain, 2Q/TMD > 0 (OR = 3.9) were more likely to report OIDP> 0. Stratified logistic regression by ethnicity revealed that, among the non-Maasais, older adolescents (OR = 3.7, 95% CI 1.1-12.8), those with DMFT> 0 (OR = 3.3 (1.2-9.0) and 2Q/TMD > 0 (OR = 9.0, 95% CI 3.3-25.0) were more likely to report at least one OIDP. The corresponding figures among the Maasais were (OR = 0.9, 95% CI 0.5-1.7), (OR = 2.8, 95% CI 1.4-5.5) and (OR = 3.0, 95% CI 1.7-5.2), respectively.

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Section: Discussionmentioning

confidence: 99%

Oral impacts on daily performances and its socio-demographic and clinical distribution: a cross-sectional study of adolescents living in Maasai population areas, Tanzania

Simangwa

Johansson

Minja

et al. 2020

Health Qual Life Outcomes

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“…Recent studies have demonstrated significant associations between poorer OHRQoL and minority racial/ethnic groups in adults and schoolchildren. To date, however, this association in younger children remains unknown.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, although it has been found a negative impact of the increased overjet on the OHRQoL, this is the first study using the SOHO-5 in a population-based study for this dental disorder, yet this evidence is still conflicting and future research assessing these impacts using self-reports is necessary to confirm our result in this age group. Recent studies have demonstrated significant associations between poorer OHRQoL and minority racial/ethnic groups in adults and schoolchildren 16,17 . To date, however, this association in younger children remains unknown.…”

Section: Self-reports Of Children's Ohrqol 47mentioning

confidence: 99%

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Impact of demographic and clinical variables on the oral health‐related quality of life among five‐year‐old children: a population‐based study using self‐reports

Abanto

Panico

Bönecker

et al. 2017

Int J Paed Dentistry

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International Journal of Paediatric Dentistry 2018; 28: 43-51Background. Although SOHO-5 has been validated, there is no study testing this instrument in population-based samples. Aims. To evaluate the impact of demographic and oral clinical variables on the oral health-related quality of life (OHRQoL) in 5-year-old children from a socially deprived Brazilian area using selfreports. Design. Data from 588 children were analyzed. Examinations included untreated dental caries and occlusal deviations. Children answered the Brazilian SOHO-5 version and interviewers collected demographic characteristics of the child (sex and skin color). Robust Poisson regression associated outcome and exposures.Results. General, the oral impacts were reported by 71.1% of children. The mean and standard deviation total score of the Brazilian SOHO-5 were 3.51 and 3.82, respectively. Children with untreated dental caries (PR = 1.28; P = 0.004) and increased overjet (PR = 1.35; P = 0.002) experienced a worse OHRQoL. Dark and mixed skin color children did not have a good impact on their OHRQoL (PR = 1.53; P = 0.006 and PR = 1.44; P < 0.000, respectively) compared to light ones. Conclusions. Untreated dental caries and increased overjet were independently associated with worst OHRQoL in 5-year-old children. As an indication of social deprivation, dark and mixed skin color children compared to light ones presented higher probability for reporting worst OHRQoL independently of the oral clinical conditions.

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“…So far, limited research is performed in the specific area of ethnic background and children’s OHRQoL. A study in Brazil has shown that non-white children had a significantly lower OHRQoL compared to white children [ 35 ]. In this study, the differences in OHRQoL were mainly based on emotional and social wellbeing, whereas in our study mainly the oral symptoms were responsible for the difference (Online Resource Table 4).…”

Section: Discussionmentioning

confidence: 99%

Ethnic background and children’s oral health-related quality of life

et al. 2019

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Purpose Ethnic background is known to be related to oral health and socioeconomic position (SEP). In the context of patient-centered oral health care, and the growing number of migrant children, it is important to understand the influence of ethnic background on oral health-related quality of life (OHRQoL). Therefore, we aimed to identify the differences in children’s OHRQoL between ethnic groups, and the contribution of oral health status, SEP, and immigration characteristics. Methods This study was part of the Generation R Study, a prospective cohort study conducted in Rotterdam, the Netherlands. In total, 3121 9-year-old children with a native Dutch ( n = 2510), Indonesian ( n = 143), Moroccan ( n = 104), Surinamese ( n = 195), or Turkish ( n = 169) background participated in the present study. These ethnicities comprise the most common ethnic groups in the Netherlands. OHRQoL was assessed using a validated short form of the child oral health impact profile. Several regression models were used to study an association between ethnic background and OHRQoL, and to identify potential mediating factors. Results Turkish and Surinamese ethnic background were significantly associated with lower OHRQoL. After adjusting for mediating factors, only Surinamese children had a significantly lower OHRQoL than Dutch children (β:− 0.61; 95% CI− 1.18 to –0.04). Conclusions Our results show that Turkish and Surinamese children have a significantly lower OHRQoL than native Dutch children. The association was partly explained by oral health status and SEP, and future studies are needed to understand (cultural) the determinants of ethnic disparities in OHRQoL, in order to develop effective oral health programs targeting children of different ethnic groups. Electronic supplementary material The online version of this article (10.1007/s11136-019-02159-z) contains supplementary material, which is available to authorized users.

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Racial Differences in Oral Health-Related Quality of Life: A Multilevel Analysis in Brazilian Children

Cited by 11 publications

References 19 publications

Oral impacts on daily performances and its socio-demographic and clinical distribution: a cross-sectional study of adolescents living in Maasai population areas, Tanzania

Oral impacts on daily performances and its socio-demographic and clinical distribution: a cross-sectional study of adolescents living in Maasai population areas, Tanzania

Impact of demographic and clinical variables on the oral health‐related quality of life among five‐year‐old children: a population‐based study using self‐reports

Ethnic background and children’s oral health-related quality of life

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