Socioeconomic inequalities in oral health-related quality of life in adolescents: a cohort study

Sfreddo, Camila Silveira; Moreira, Carlos Heitor Cunha; Nicolau, Belinda; Ortiz, Fernanda Ruffo; Ardenghi, Thiago Machado

doi:10.1007/s11136-019-02229-2

Cited by 47 publications

(45 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Robust evidence has established that common oral health disorders such as dental trauma, malocclusion, untreated dental caries, and tooth loss present a substantial negative impact on quality of life (Borges et al 2017; Haag et al 2017; Sun et al 2017). Previous research documented poorer OHRQoL for disadvantaged subpopulations and marked disparities between Indigenous and non-Indigenous peoples (Divaris et al 2011; Bilic et al 2017; Grant et al 2019; Sfreddo et al 2019).…”

Section: Introductionmentioning

confidence: 97%

A Psychometric Network Analysis of OHIP-14 across Australian and Brazilian Populations

Soares

Santiago

Werneck

et al. 2020

JDR Clinical & Translational Research

View full text Add to dashboard Cite

Objectives: The aim of this study was to assess the structural validity of the Oral Health Impact Profile–14 (OHIP-14) instrument in Indigenous and non-Indigenous populations from Australia and Brazil using a network analysis approach. Methods: Cross-sectional data collected using OHIP-14 were obtained for Indigenous and non-Indigenous populations from Australia and Brazil. Networks were estimated using the Gaussian graphical model. Items of the OHIP-14 instrument are represented as nodes and the partial correlations between items as edges. Dimensionality was assessed using exploratory graph analysis. Structural consistency and item stability were computed using a bootstrap sampling method. Standardized node strength across each dimension was also calculated. Results: Four dimensions were identified across all samples, although the item arrangement of most dimensions presented variation. Similarities with the theoretical domains of the instrument were found. Items from the conceptually derived OHIP-14 domains formed separated clusters or blended with other items in a single dimension. Most dimensions across all samples showed an acceptable structural consistency. Item stability revealed some discrepancies among items of dimensions of both Indigenous networks. Conclusion: The psychometric network perspective adopted in this study provides validation of the OHIP-14 structure in Indigenous and non-Indigenous populations. The structural consistency and item stability analyses showed that both Indigenous networks present a higher number of cross-domain items and less defined boundaries between dimensions. These findings indicate that OHIP-14 does not measure attributes in the same extent among different cultures. Knowledge Transfer Statement This study demonstrates a new analytical framework from which to conceptualize and interpret the construct oral health–related quality of life using the Oral Health Impact Profile (OHIP-14). Network graphs facilitate knowledge translation of findings to professionals with no expertise in psychometric methods. OHIP-14 is a valuable tool to oral health research and clinical practice. Differences in conceptions of health may influence the extent that the instrument measures oral health impacts. Consequently, dimension scores do not always provide appropriate measures and should be avoided in research reports and assessments of treatment outcomes.

show abstract

Section: Introductionmentioning

confidence: 97%

A Psychometric Network Analysis of OHIP-14 across Australian and Brazilian Populations

Soares

Santiago

Werneck

et al. 2020

JDR Clinical & Translational Research

View full text Add to dashboard Cite

show abstract

“…Despite differences in the meaning of these across countries, social gradients determine inequalities in health. People of lower SES have worse oral health, 5 including poor OHRQoL 6‐10 …”

Section: Introductionmentioning

confidence: 99%

Socioeconomic status and oral health‐related quality of life: A systematic review and meta‐analysis

Knorst

Sfreddo

Meira

et al. 2020

Comm Dent Oral Epid

Self Cite

View full text Add to dashboard Cite

Objectives To systematically review observational studies assessing the association between socioeconomic status (SES) and oral health‐related quality of life (OHRQoL) in children, adolescents and adults. Methods Electronic searches were performed in the PubMed, Embase, Web of Science, LILACS and Scopus databases for articles published up to September 2020. Two independent reviewers performed the search and critical appraisal of the studies. The inclusion criteria were observational studies that evaluated the effect of SES on the OHRQoL in all age groups using validated methods. Quality assessment was conducted using the Newcastle‐Ottawa Scale. Data were extracted for meta‐analysis followed by a meta‐regression analysis. A random‐effects model was used to estimate the pooled calculate prevalence ratio (PR) and respective 95% confidence intervals (CI) for each study. Results The search strategy retrieved 6114 publications. Some 139 articles met the eligibility criteria and were included in the systematic review. Of those, 75 were included in the general meta‐analysis they represented a total sample of 109 269 individuals. People of lower SES had worse OHRQoL (PR 1.30; 95% CI 1.26‐1.35). In the meta‐analyses of different subgroups, an association was found between low SES and worse OHRQoL in countries of all economic classifications, in all age groups and irrespective of the socioeconomic indicator used. A socioeconomic gradient in OHRQoL was also observed, in which the lower the individuals' socioeconomic position, the poorer their OHRQoL. Conclusions Individuals of low SES had poorer OHRQoL, regardless of the country's economic classification, SES indicator and age group. Public policies aiming to reduce social inequalities are necessary for better OHRQoL throughout life.

show abstract

“…This is in line with studies that show a disadvantage in oral health among the least socioeconomically favored. 4,35 This socioeconomic inequality is also demonstrated between countries at different development levels, such as Brazil, where population social disparities are more evident. 36 Socioeconomic status has been recognized as a risk factor for morbidity and mortality varying over time by culture and age group, with the elderly population being the most affected.…”

Section: Discussionmentioning

confidence: 93%

Impact of adopting different socioeconomic indicators in older adults’ oral health research

et al. 2021

View full text Add to dashboard Cite

This study aimed to evaluate the influence of choosing different socioeconomic status indicators in research regarding older adults' oral health. This is a cross-sectional study that analyzed baseline data from the Brazilian Longitudinal Study on Aging (ELSI-Brazil). The outcomes were edentulism (n = 9,073) and self-reported oral health (n = 9,365). The following socioeconomic indicators were assessed: individual income, per capita household income, and wealth index. Poisson regression analysis with robust variance was performed to estimate prevalence ratios (PR), with their respective 95% confidence intervals (CI), after adjusting for socioeconomic and oral health behavior variables. Absolute inequality measures were also estimated. The individual income indicator was not statistically associated with the results after adjustments. When using per capita household income indicator, individuals in the richest quintile showed a 12% lower prevalence of poor self-reported oral health [PR: 0.88 (CI: 0.78-0.98)], relative to the poorest, and there was no association with edentulism. When the wealth index was chosen, there was a 22% lower prevalence of edentulism [PR: 0.78 (CI: 0.64-0.94)] and 15% lower prevalence of self-reported poor oral health [PR: 0.85 (CI: 0.78-0.93)] in individuals of the richest quintile, both relative to the poorest quintile. Regarding absolute inequality measures, for edentulism, the wealth index showed the highest absolute inequality. When considering self-reported oral health, per capita household income showed the greatest absolute inequality. Despite scientific challenges and the difficulty of socioeconomic indicator metrics, further investments in its development are critical to measure, promote, and improve population oral health.

show abstract

Socioeconomic inequalities in oral health-related quality of life in adolescents: a cohort study

Cited by 47 publications

References 39 publications

A Psychometric Network Analysis of OHIP-14 across Australian and Brazilian Populations

A Psychometric Network Analysis of OHIP-14 across Australian and Brazilian Populations

Socioeconomic status and oral health‐related quality of life: A systematic review and meta‐analysis

Impact of adopting different socioeconomic indicators in older adults’ oral health research

Contact Info

Product

Resources

About