Reducing social inequalities in the oral health of an adult population

Silva, Manoelito Ferreira; Sousa, Maria da Luz Rosário de; Batista, Marília Jesus

doi:10.1590/1807-3107bor-2019.vol33.0102

Cited by 11 publications

(5 citation statements)

References 29 publications

(49 reference statements)

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“…Biological, behavioral, socioeconomic, and environmental factors are associated with dental caries and its consequences [ 2 ]. Socioeconomic status is a distal determinant of dental caries development that modulates exposure to risk and protective factors as well as access to oral health services [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of socioeconomic status on oral disease burden: a population-based study

et al. 2021

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Background Dental caries is associated with Biological, behavioral, socioeconomic, and environmental factors; however, socioeconomic status is a distal determinant of dental caries development that modulates exposure to risk and protective factors. This study aimed to analyze the socioeconomic factors associated with the concentration of oral diseases in a population-based study in Brazil. Methods This is a quantitative, analytical, cross-sectional study based on secondary data from the SB São Paulo 2015 epidemiological survey. A total of 17,560 subjects were included. The concentration of oral disease in the population was estimated by the oral disease burden (ODB) variable. The ODB consists of four components: dental caries; tooth loss; need for dental prosthesis and periodontal condition. Thus, the total score on the ODB could vary between 0 and 4, with the highest score indicating the worst possible situation. ODB was analyzed in multivariate negative binomial regression, and multivariate binary logistic regression analysis. The following factors were included as independent variables: age group, skin color, socioeconomic factors, family income and Oral Impact on Daily Performance (OIDP). Results In the sample, 86.9% had no minimum ODP component. Negative multivariate binomial regression showed a statistically significant relationship (p < 0.005) between ODB and all variables analyzed (skin color, family income, education, OIDP results and age range). The adjusted multivariate binary logistic regression showed that the individuals most likely to have at least one component of ODB were nonwhite (25.5%), had a family income of up to R$ 1500.00/month (19.6%), had only completed primary education (19.1%), and reported that their oral health had an impact on their daily activities (57.6%). Older adults individuals were two times more likely than adolescents to have an ODB component. Conclusions ODB is associated with factors related to social inequality. Adults and older adults individuals had the highest cumulative number of ODB components.

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Section: Introductionmentioning

confidence: 99%

Influence of socioeconomic status on oral disease burden: a population-based study

et al. 2021

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“…Consequently, oral health inequalities are increasing in the world with time. Studies conducted in Brazil during 2011-2015 revealed an increasing trend in the prevalence of oral health problems in the country [24]. The oral health-related statistics from Canada and the United States of America have also shown an increasing trend of Oral-health inequalities.…”

Section: St Century and The Oral Heath Related Inequality Trendsmentioning

confidence: 99%

Inequalities in the Oral Healthcare Sector: Trends in the 21st Century

2021

Ann Case Report

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According to the global health statistics, millions of people lack access to quality healthcare owing to social injustice, inequitable distribution of wealth, lack of political will, poor governance in the health delivery system as well as prevalent economic impoverishment among different classes. The health inequalities are more prominent in low-income countries due to inadequate infrastructure, insufficient health budget for procuring medicine, disease prevention, and hiring health professionals in the public sector. In such countries, the patients depend on private healthcare providers who offer quality healthcare at a higher cost, which is often beyond the paying capacity of the poor population and results in health inequalities. On the other hand, UN Agenda 2030, demands the elimination of health-related inequalities and ensuring Universal Health Coverage (UHC). The Sustainable Development Goal 3 of the UN General Assembly`s Agenda 2030, necessitates the provision of UHC to all, minimization of Out-of-Pocket health expenses to zero, and ensuring free UHC to the entire population as one of the basic human rights. The Agenda 2030 states "To promote physical and mental health and well-being, and to extend life expectancy for all, we must achieve universal health coverage and access to quality health care. No one must be left behind" (UN General Assembly, 2015). Such efforts at the global and country levels have resulted in substantial improvement in the global health indicators with time. But the disparities still exist, and the gap is increasing with time due to the growing population, massive urbanization, unequal distribution of wealth and resources. As far as Oral health is concerned, the situation of inequalities is worse as compared to physical and mental healthcare disciplines due to the high cost of dental material, infrastructure, equipment, and shortage of dentists. There is a need to address health inequalities in the Oral healthcare sector because the oral health problems if not addressed in time, may open the door for several other health issues including diabetes, endocarditis, cardiovascular, and respiratory diseases [1]. There has been found an increasing trend in the Oral health-related inequalities among the people belonging to different socio-economic groups living in the low-, middle-and high-income countries. The present study focuses on the occurrence and implications of inequalities in the oral health sector as well as their relationship with the socioeconomic determinants in the pretext of the 21st century.

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“…Currently, oral health inequality occurs in various parts of the world, including Indonesia. 1,2 The poor condition of dental health in Indonesia is still being reported with a high prevalence of oral health problems. 2,3 Data from Basic Health Research (Riskesdas) 4 revealed the prevalence of dental caries at 88.8% with a DMF-T index of 7.1.…”

Section: Introductionmentioning

confidence: 99%

Relationship between mother's oral health literacy level with oral hygiene behavior and self-reported oral health status in sociodemographic scope

2023

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Introduction: Oral Health Literacy (OHL) plays an important role in reducing the gap in promoting oral health. Oral health literacy of mothers is important due to maternal OHL can affect the family's oral health, especially in children. Sufficient OHL of mothers also help strengthen their capacities to improve their own and their children's oral health. The purpose of this study was to analyze the oral health literacy level of mothers and its relationship to the oral hygiene behavior and self-reported oral health status in the sociodemographic scope. Methods: The type of research was correlational analytics with cross-sectional techniques. The samples were 158 mothers, collected using purposive sampling in Parigi District, Pangandaran Regency. Data were collected using the Health Literacy in Dentistry (HeLD-14) questionnaires which had been cross-adapted and included questions to assess oral hygiene behaviors with the Indonesian version of the oral hygiene behavior index. Data were analyzed using the Pearson correlation test and independent sample t-test. Results: The majority of mothers had a good educational level and did not get employment, and had a good level of oral health literacy, with an average score of 49.63±7.16. Dental hygiene behaviors were in the good category with a mean score of 3.13±0.82 and the results of self-assessment mostly stated that the oral and dental conditions were in a proper state. The results of the OHL correlation tests with oral hygiene behaviors and self-reported oral health status showed significant relations with low correlations (p=0.04; r=0.16) and (p=0.01; r=0.21). Conclusion: Mothers’ oral health literacy level is in good category and there are relations between oral dental health literacy with oral hygiene behaviors and self-reported oral health status.Keywords: oral health literacy, HeLD-14, oral hygiene behavior, sociodemographic, mother, oral health status

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Reducing social inequalities in the oral health of an adult population

Cited by 11 publications

References 29 publications

Influence of socioeconomic status on oral disease burden: a population-based study

Influence of socioeconomic status on oral disease burden: a population-based study

Inequalities in the Oral Healthcare Sector: Trends in the 21st Century

Relationship between mother's oral health literacy level with oral hygiene behavior and self-reported oral health status in sociodemographic scope

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