Language and literacy relate to lack of children’s dental sealant use

Mejía, Gloria C.; Weintraub, Jane A.; Cheng, Nancy; Grossman, Wynne; Han, Pamela Z.; Phipps, Kathy R.; Gansky, Stuart A.

doi:10.1111/j.1600-0528.2010.00599.x

Cited by 32 publications

(25 citation statements)

References 28 publications

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“…39 Low consent rates may be associated with low oral health literacy. Studies indicate that low sealant prevalence is associated with low health literacy 40 or low parental education, a predictor of health literacy. 41 Policies aimed at increasing oral health literacy among low-income caregivers could increase the number of high-risk children receiving sealants.…”

Section: Discussionmentioning

confidence: 99%

School-Based Dental Sealant Programs Prevent Cavities And Are Cost-Effective

et al. 2016

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Untreated cavities can have far-reaching negative consequences for people’s ability to eat, speak, and learn. By adolescence, 27 percent of low-income children in the United States will have untreated cavities. School-based sealant programs typically provide dental sealants (a protective coating that adheres to the surface of molars) at little or no cost to students attending schools in areas with low socioeconomic status. These programs have been shown to increase the number of students receiving sealants and to prevent cavities. We analyzed the cost-effectiveness of school sealant programs using data (from school programs in fourteen states between 2013 and 2014) on children’s cavity risk, including the effects of untreated cavities on a child’s quality of life. We found that providing sealants in school programs to 1,000 children would prevent 485 fillings and 1.59 disability-adjusted life-years. School-based sealant programs saved society money and remained cost-effective across a wide range of reasonable values.

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Section: Discussionmentioning

confidence: 99%

School-Based Dental Sealant Programs Prevent Cavities And Are Cost-Effective

et al. 2016

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“…We classified education as a predisposing factor because of its strong association with health literacy (12,13), which in turn predicts higher sealant prevalence (10). This classification is also consistent with Andersen and Aday’s identification of education as a predisposing factor in their PEN model (17).…”

Section: Discussionmentioning

confidence: 99%

“…Factors associated with a child’s not having sealants include ability to pay for dental care (ie, low family income) (4); not having dental or health insurance (4); sociodemographic variables, including having parents who did not graduate high school (4); being of minority race/ethnicity (4); and low health literacy and low oral health literacy (10). A recent analysis found that parents’ functional health literacy and English being spoken at home were strong predictors of sealant prevalence among California school children (10).…”

Section: Introductionmentioning

confidence: 99%

“…A recent analysis found that parents’ functional health literacy and English being spoken at home were strong predictors of sealant prevalence among California school children (10). The RAND Health Insurance Experiment (HIE) also found that health literacy (ie, parents’ knowledge of the medical care system) predicted use of dental health services among children (11).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Family Income on the Relationship Between Parental Education and Sealant Prevalence, National Health and Nutrition Examination Survey, 2005–2010

Agili

2015

Prev. Chronic Dis.

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IntroductionWe examined the association between sealant prevalence and parental education for different levels of family income, controlling for other covariates.MethodsWe combined data from 2005–2006, 2007–2008, and 2009–2010 cycles of the National Health and Nutrition Examination Survey. The study sample was 7,090 participants aged 6 to 19 years. Explanatory variables, chosen on the basis of Andersen and Aday’s framework of health care utilization, were predisposing variables — child’s age, sex, race/ethnicity, and parental education (high school diploma); enabling variables — family income (<100% of the federal poverty level [FPL]; 100%–200% of the FPL; and >200% of the FPL), health insurance status, and regular source of medical care; and a need variable — future need for care (perceived child health status is excellent/very good, good, fair/poor). We conducted bivariate and multivariate analyses and included a term for interaction between education and income in the multivariate model. We report significant findings (P ≤ .05).ResultsSealant prevalence was associated with all explanatory variables in bivariate and multivariate analyses. In bivariate analyses, higher parental education and family income were independently associated with higher sealant prevalence. In the multivariate analysis, higher parental education was associated with sealant prevalence among higher income children, but not among low-income children (<100% FPL). Sealant prevalence was higher among children with parental education greater than a high school diploma versus less than a high school diploma in families with income ≥100% FPL.ConclusionOur findings suggest that income modifies the association of parental education on sealant prevalence. Recognition of this relationship may be important for health promotion efforts.

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“…The popularity of multiple imputation in dental epidemiology is growing. Most of the work attempts to estimate prevalence [Tellez et al, 2006;Ismail et al, 2008;Liao et al, 2010;Mejia et al, 2011;Newton et al, 2011], but there is also methodological work advocating a wider use of multiple imputation in dental research [Plutzer et al, 2010;Pahel et al, 2011].…”

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confidence: 99%

Estimation of Caries Experience by Multiple Imputation and Direct Standardization

Schuller

Buuren

2013

Caries Res

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Valid estimates of caries experience are needed to monitor oral population health. Obtaining such estimates in practice is often complicated by nonresponse and missing data. The goal of this study was to estimate caries experiences in a population of children aged 5 and 11 years, in the presence of nonresponse and missing data. Four estimation methods are compared. Each method makes implicit assumptions about the processes that caused the nonresponse and the missing data. Three of the four methods are based on unrealistic assumptions about the missing data and underestimate caries experience. Under the missing at random assumption, multiple imputation in combination with direct standardization corrects for the deficiencies of current methodology. In the presence of missing data and nonresponse, we recommend a combination of multiple imputation and direct standardization to obtain correct estimates of caries experience.

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Language and literacy relate to lack of children’s dental sealant use

Cited by 32 publications

References 28 publications

School-Based Dental Sealant Programs Prevent Cavities And Are Cost-Effective

School-Based Dental Sealant Programs Prevent Cavities And Are Cost-Effective

Effect of Family Income on the Relationship Between Parental Education and Sealant Prevalence, National Health and Nutrition Examination Survey, 2005–2010

Estimation of Caries Experience by Multiple Imputation and Direct Standardization

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