Explaining Racial/Ethnic Disparities in Children’s Dental Health: A Decomposition Analysis

Guarnizo-Herreño, Carol C; Wehby, George L.

doi:10.2105/ajph.2011.300548

Cited by 80 publications

(80 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, like our study, many other studies have found less dental care in African-American children and adults when compared with Caucasians [7][8][9][10][11][12]. In 2004, the Medical Expenditure Panel surveyed 34,403 individuals.…”

Section: Discussionsupporting

confidence: 55%

“…While African-Americans were less likely to report differences in accessing dental care than Caucasians, they visited the dentist less in the previous year [8]. The 2007 National Survey of Children's Health accounted socioeconomic status for 71% of the gap in preventive dental care between African-American and Caucasian children [9]. The type of dental insurance has not been found to affect preventive dental care in African-American children [12].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Predictors of preventive dental care

Damore¹,

Feustel²,

Robak³

et al. 2014

Emerg Med Health Care

View full text Add to dashboard Cite

Background: It was postulated that parents would receive less preventive dental care than their children and that adults would receive more preventive dental care than parents. Other predictors were also explored. Methods: A convenience sample of adults and parents, presenting to the emergency department, answered questions about age, ethnicity, education, medical insurance, dental insurance, and preventive and emergency dental care in the past year. Parents answered similar questions for a child >3 years to <18 years. Parents were defined as living with their children <18 years. Significant univariate odds ratios based on group (adult, parent or child), age, ethnicity, education, medical insurance, dental insurance and emergency dental care were then analyzed using stepwise logistic regression. Results: Four independent predictors of preventive dental care were found. Adults and African-Americans received less preventive dental care while dental insurance and emergency dental care were associated with more preventive dental care. Conclusions: Emergency physicians can encourage preventive dental care for all patients especially adults, African-Americans and those receiving emergency dental care. Also, those without dental insurance can be assisted.

show abstract

Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Predictors of preventive dental care

Damore¹,

Feustel²,

Robak³

et al. 2014

Emerg Med Health Care

View full text Add to dashboard Cite

show abstract

“…Instead, our selection of explanatory variables is motivated by several theories for determinants of health and racial disparities and by results from previous studies that have highlighted an important role for these variables. We appeal to general microeconomic and psychosocial theories that highlight the importance of education, prenatal care, geographic location/residential segregation, and other factors for child health and racial disparities (16,22,48,49,(51)(52)(53)(54)(55) and to previous studies (22,37,38,41,(56)(57)(58)(59)(60)(61)(62) when possible for selecting conceptually relevant explanatory variables. We choose the following model: (1) where for child i, H is health measured by either LBW (y=1) or PTB (y=2) and is a function of child ancestry (Ancestry), prenatal care (PNC), demographic characteristics (Dem), maternal health (Health), maternal fertility (Fertility), socioeconomic status (SES) and geographic effects (Area); u is the error term.…”

Section: Study Measures and Empirical Modelmentioning

confidence: 99%

“…This model is an extension of the Oaxaca-Blinder decomposition model to non-linear models for binary outcomes and has been successfully applied in previous studies. (56,(85)(86)(87) The model identifies the extent to which differences in a particular characteristic between two groups explains the difference in their outcomes, and has been previously used to explain racial health disparities in other contexts. (34,56) For each racial comparison (e.g., AO versus EO), the model first estimates equation (1).…”

Section: Disparity Decompositionmentioning

confidence: 99%

“…(56,(85)(86)(87) The model identifies the extent to which differences in a particular characteristic between two groups explains the difference in their outcomes, and has been previously used to explain racial health disparities in other contexts. (34,56) For each racial comparison (e.g., AO versus EO), the model first estimates equation (1). Since the sample sizes for the two ancestry groups are different, the model randomly selects a subsample from the majority group equal in size to the minority group.…”

Section: Disparity Decompositionmentioning

confidence: 99%

See 1 more Smart Citation

Explaining Racial Disparities in Infant Health in Brazil

et al. 2015

Self Cite

View full text Add to dashboard Cite

Objective-Racial disparities in infant health are common in Brazil. Explaining these disparities and identifying the pathways through which they arise is essential for identifying risk factors that can be targeted by policy interventions. Our objective is to quantify the extent to which socioeconomic, healthcare, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.Methods-We employ a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focus on disparities in LBW (< 2500 grams) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or mixed with other ancestries on one side, and infants of European ancestry alone on the other. We quantify the contributions of several conceptually relevant factors to these disparities using a decomposition model. Findings-The model explains 45-94% and 64-94% of the LBW and PTB disparities, respectively, between the various African ancestry groups and European ancestry. Differences in prenatal care use and geographic location are generally the most important contributors to these disparities, followed by socioeconomic differences. The model explains the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.Conclusions-Prenatal care and geographic location differences explain a large portion of the health disparities between infants of African and European ancestries. Public policies aiming at improving child health should target these pathways in order to reduce such disparities.

show abstract

Family's socioeconomic and demographic factors on elements of children's dental and oral health: A scoping review

Fadila,

Rahardja,

Prasetyoputra

et al. 2024

Clinical & Exp Dental Res

View full text Add to dashboard Cite

BackgroundFamily plays a significant role in children's dental and oral health (DOH) elements, such as children's DOH knowledge and practice, the development of children's dental fear and anxiety (DFA), children's dental visits, and children's DOH status. The study aims to address the interrelationship of these elements based on individual and familial socioeconomic and demographic (SED) attributes.MethodsGiven the possibility that the COVID‐19 epidemic might alter oral health and disrupt dental care, a systematic literature search from the Scopus and Web of Science library database was limited to the 2017–2019 peer‐reviewed published literature, which includes quantitative studies that investigated at whether SED status contributed to children's DOH elements. Four sets of keywords are combined in both library database literature searches. Using the PRISMA‐ScR Checklist as a reference, we conduct this scoping review.ResultsA total of 15 studies were included. Studies were from Brazil, Iran, China, India, Indonesia, Peru, Portugal, and UK. The socioeconomic characteristics include parental education, income, employment, assets and home ownership, type of residence, and health insurance coverage. The demographic characteristics include parent's age, children's age, the number of family members, and family type. There were 13 studies observing parent's education, seven examining family income, four identifying parental employment, three measuring family assets, six assessing the type of residence, and one recording health insurance coverage. Few studies assessed socioeconomic proxies such as school type, free school lunches, and social networks. In addition, race, the number of household members, the number of children, and family type were measured in at least one of the literature.ConclusionFamily SED characteristics may define a pathway to children's DOH elements.

show abstract

Explaining Racial/Ethnic Disparities in Children’s Dental Health: A Decomposition Analysis

Cited by 80 publications

References 31 publications

Predictors of preventive dental care

Predictors of preventive dental care

Explaining Racial Disparities in Infant Health in Brazil

Family's socioeconomic and demographic factors on elements of children's dental and oral health: A scoping review

Contact Info

Product

Resources

About