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J Am Dent Assoc, Vol 139, No 11, 1507-1517.
© 2008 American Dental Association

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RESEARCH

Racial and Ethnic Disparities in Children’s Oral Health

The National Survey of Children’s Health



Thomas Dietrich, DMD, MD, MPH, Corinna Culler, RDH, MPH, Raul I. Garcia, DMD, MMedSc and Michelle M. Henshaw, DDS, MPH


   ABSTRACT
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
Background. The authors evaluated racial/ethnic differences and their socioeconomic determinants in the oral health status of U.S. children, as reported by parents.

Methods. The authors used interview data from the 2003 National Survey of Children’s Health, a large representative survey of U.S. children. They calculated weighted, nationally representative prevalence estimates for non-Hispanic whites, non-Hispanic blacks and Hispanics, and they used logistic regression to explore the association between parents’ reports of fair or poor oral health and various socioeconomic determinants of oral health.

Results. The results showed significant racial/ethnic differences in parental reports of fair or poor oral health, with prevalences of 6.5 percent for non-Hispanic whites, 12.0 percent for non-Hispanic blacks and 23.4 percent for Hispanics. Although adjustments for family socioeconomic status (poverty level and education) partially explained these racial/ethnic disparities, Hispanics still were twice as likely as non-Hispanic whites to report their children’s oral health as fair or poor, independent of socioeconomic status. The authors did find differences in preventive-care attitudes among groups. However, in multivariate models, such differences did not explain the disparities.

Conclusions. Significant racial/ethnic disparities exist in parental reports of their children’s oral health, with Hispanics being the most disadvantaged group. Disparities appear to exist independent of preventive-care attitudes and socioeconomic status.

Key Words: Disparities; health services research

Abbreviations: FPL: Federal poverty level • NSCH: National Survey of Children’s Health

In recent decades, remarkable progress has been made in improving the oral health of the nation. However, it is well-documented that not all populations have shared equally in these advances.1 People from racial/ethnic minority groups and those of lower socioeconomic status experience the greatest disease burden. Oral health disparities parallel overall health disparities, with children from racial/ethnic minorities having higher levels of dental disease.1

Dental caries is the most prevalent childhood disease. Healthy People 2010 reported that among children aged 6 to 8 years, 43 percent of Hispanic children and 36 percent of non-Hispanic black children had untreated caries, compared with 26 percent of non-Hispanic white children.2 Although a disproportionate number of minority children live in low-income families with limited access to dental care, oral health disparities have been shown to exist independently of socioeconomic status.1

In addition to clinically determined oral health status, there is increasing interest in assessing self-reported oral health status.3 In studies that have directly compared self-reported oral health status with clinician-assessed oral health status, the authors found that self-rated overall health status was associated with clinical conditions.3,4 In fact, evidence shows that the addition of self-reported health measures can predict clinical outcomes better than clinical objective indicators alone.3,4 Likewise, self-reported measures of oral health status have been shown to be associated with clinical dental needs.57 Self-reported oral health even has been confirmed as an independent predictor of self-reported general health, self-esteem and life satisfaction.3 Therefore, self-reported health measures may help estimate treatment need in individuals and specific populations.

As the United States becomes more diverse demographically, an increasing proportion of young children may be at high risk of developing dental disease. Thus, it is important to both quantify the oral disease prevalence in racial/ethnic minority populations, as well as understand the factors that may contribute to disparities. Parents’ perceptions of their children’s oral health status may be important determinants of care-seeking behavior. Moreover, parental perceptions of their children’s need for preventive or therapeutic care, as well as parental perceptions of the value of prevention, may be important determinants of care-seeking behavior and actual oral health status.

The purpose of our study was to determine if there are racial/ethnic differences in parents’ reports of the oral health status of U.S. children and to assess the factors that may be associated with such differences by using data from a large, representative national survey of children’s health.


   MATERIALS AND METHODS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
Data source. The 2003 National Survey of Children’s Health (NSCH) is a survey designed to produce national estimates regarding the health of children. A detailed description of the survey can be found elsewhere.811 Briefly, the goal of the NSCH was to select representative samples of 2,000 children younger than 18 years in all 50 states to permit reasonably precise estimates of the characteristics of children in each state. The NSCH used the sampling frame of the National Immunization Survey,12 which is a large-scale random-digit-dialed telephone survey that screens for the presence of young children in selected households and collects immunization history information for eligible children.

NSCH researchers randomly selected one child per eligible household for the interview. Telephone interviewing began on Jan. 29, 2003, and was completed on July 1, 2004, with 87 percent of the interviews being completed by the end of 2003. Trained NSCH staff members interviewed a total of 102,353 respondents, with an average of 2,007 completed interviews per state. The content of the NSCH is broad, addressing a variety of physical, emotional and behavioral health indicators and measures of children’s health experiences within the health care system. We restricted our analyses to children 3 years or older.

Outcome variable. The primary outcome variable for our analysis was the parent’s self-report of the child’s overall oral health status ("How would you describe the condition of the child’s teeth: excellent, very good, good, fair, poor?"). To facilitate descriptive data presentation, we collapsed this five-point scale into a trichotomous response variable (excellent/very good, good and fair/poor) (Table 1Go). In all of the other analyses presented, we used a dichotomous response variable (excellent/very good/good versus fair/poor). We used the dichotomous variable on the basis of the premise that fair or poor oral health self-ratings likely reflect a threshold of significant (perceived) problems. It is important to note that the approach we took is consistent with the NCHS’s approach to survey design, in which the interviewers asked respondents for detailed identification of specific problems only if they rated their children’s overall oral health as fair or poor.


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TABLE 1 Prevalence estimates and 95 percent confidence intervals (CIs) for characteristics of participants, by race/ethnicity.

 
Other variables. NSCH interviewers also asked parents who rated their children’s oral health as fair or poor to select from a list specific problems experienced (that is, pain, cavities, broken teeth, crooked teeth, other, hygiene, discoloration, enamel problems, gum problems, teeth problems, nerves, no problems).

NSCH assessed race and ethnicity via self-reports. We restricted our analysis to non-Hispanic whites, non-Hispanic blacks and Hispanics. Other variables included in this study were age (3–17 years), sex, household poverty level (< 100 percent, 100–199 percent, 200–299 percent, 300–399 percent, ≥ 400 percent of the federal poverty level, which also takes into account household size), highest level of education of any household member (< high school, high school graduate, > high school), child’s country of birth (United States versus other), primary language spoken in the home (English versus other). Our analyses found that the last two items were relevant primarily to Hispanics and we did not include them in the logistic models described in Table 2Go. We assessed the role of dental insurance coverage from responses to one question about dental insurance ("Does the child have insurance that helps pay for any routine dental care including cleanings, X-rays and examinations?"). There were no other items on related determinants of dental care access.


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TABLE 2 Odds ratio (OR) and 95% confidence intervals (CIs) for association between race/ethnicity and fair or poor oral health rating on the 2003 NSCH.*{dagger}

 
The survey also asked parents to answer three questions about routine dental care during the previous 12 months:

– "How long has it been since the child last saw a dentist?" (question 1);
– "During the past 12 months, did the child see a dentist for any routine preventive dental care?" (question 2);
– "During the past 12 months, was there any time when the child needed routine preventive dental care?" (question 3).

From parents’ responses to these survey items, we created a categorical preventive-care variable indicating children who had received routine preventive care during the previous 12 months (answered "yes" to question 2 above); children who had had other dental visits (answered "no" to question 2, but had visited a dentist in the previous 12 months); children had not received routine preventive care but the parent thought it was needed (answered "yes" to question 3, but had not visited a dentist in the previous 12 months); and children who had not visited a dentist in the previous 12 months and the parent thought preventive care was not needed (answered "no" to question 3).

An additional question asked whether or not the child did "receive all the routine preventive dental care he or she needed" in the past 12 months.

We also created a dichotomous variable, "preventive-care attitude," that included one group of children who had received preventive dental care in the previous 12 months or whose parents thought that preventive care was needed, and a second group of children who had not received any preventive care during the previous 12 months and whose parents felt that no preventive care was necessary.


   STATISTICAL ANALYSIS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
To obtain population-based estimates, we weighted all of our analyses using NSCH sampling weights. Details of the weighting procedures can be found elsewhere.8 Briefly, the sampling weights accounted for multiple telephone lines within a household, nonresponse and the differential selection probabilities in each state. Furthermore, we calculated standard errors and 95 percent confidence intervals for all analyses that accounted for survey stratification.

The study results showed significant differences in parental ratings of their children’s oral health according to race/ethnicity.

To tabulate frequencies, we collapsed the upper and lower two categories of self-reported oral health status, resulting in a variable with three categories (excellent or very good, good, fair or poor). We calculated weighted proportions and 95 percent confidence intervals according to race/ethnicity. We used a {chi}2 test to test for differences between race/ethnicities. Using age- and sex-adjusted logistic regression models, we then evaluated the bivariate associations between the different variables and the oral health rating (fair or poor versus good or better) for each racial/ethnic group separately.

Furthermore, we analyzed the association between a fair or poor oral health rating (dependent variable) and race/ethnicity (independent variable) using weighted logistic regression models. To evaluate the extent to which the association between racial/ethnic group and oral health rating was explained by education and poverty level, dental insurance status and preventive-care attitude, we consecutively entered these prespecified variables into an age-and sex-adjusted model. Finally, we evaluated the association between preventive-care attitude (dependent variable) and race/ethnicity, education, poverty level and dental insurance status (independent variables) using weighted logistic regression. We also examined for possible interactions in our models (for example, between sex, education, insurance and poverty status), and we noted no meaningful interactions.

We performed all analyses using statistical software (STATA 7.0, StataCorp, College Station, Texas).


   RESULTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
This study included a total of 77,733 children 3 years or older for whom parental oral health ratings were available. Table 1Go shows the distribution of basic demographic and socioeconomic data across racial/ethnic groups. The proportion of girls was similar across racial ethnic groups. The proportion of very young children (aged 3 to 5 years) was higher among Hispanics than among non-Hispanic whites and non-Hispanic blacks. Both non-Hispanic white children and non-Hispanic black children were born predominantly in the United States (> 97 percent) and their parents were primarily English speakers (> 98 percent), while 80.7 percent of Hispanic children were born in the United States. English was the primary language of only 40.2 percent of Hispanic parents.

We found major differences in education and family poverty level according to racial/ethnic groups, with Hispanics having the lowest educational and highest poverty levels and non-Hispanic whites having the highest educational and lowest poverty levels. Non-Hispanic blacks had the highest proportion of children with dental insurance coverage, followed by non-Hispanic whites and Hispanics. In the NSCH, insurance coverage included coverage by either private or public insurance programs, such as Medicaid.

As shown in Table 1Go, the study results showed significant differences in parental ratings of their children’s oral health according to race/ethnicity. These racial/ethnic differences were consistent among all age groups (data not shown). Among those who rated their children’s oral health as fair or poor, "cavities" (> 50 percent) and "crooked teeth" (> 30 percent) were the most prevalent specific problems reported, with no differences reported according to racial/ethnic groups. The prevalence of other specific dental problems reported was much lower (in almost all cases < 10 percent).

Pain was reported as a specific dental problem by 6.2 percent of Hispanics, 3.5 percent of non-Hispanic blacks and 3.1 percent of non-Hispanic whites. However, the absolute number of subjects reporting problems other than "cavities" or "crooked" teeth within racial/ethnic groups was low, so the resulting national prevalence estimates may not be reliable.

Frequency of dental visits. We found marked differences between racial/ethnic groups with regard to the frequency of dental visits, as measured by reports of "never been to a dentist" (Figure 1Go) and "no dental visits within past 12 months" (Figure 2Go). For example, Hispanic children were least likely to ever have seen a dentist (Figure 1Go) or to have had a dental visit in the previous year (Figure 2Go). Among children aged 12 to 17 years, 25.1 percent of Hispanics and 20.7 percent of non-Hispanic blacks had not seen a dentist within the previous 12 months, compared with 9.1 percent of non-Hispanic whites (Figure 2Go). We found similar racial/ethnic disparities for children aged 6 to 11 years, but the pattern was less clear among children aged 3 to 5 years.


Figure 1
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Figure 1. Percentage of participants reporting that their children had "never been to a dentist," by race/ethnicity and age group. Bars represent 95 percent confidence intervals.

 

Figure 2
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Figure 2. Percentage of participants reporting that their children had "no dental visits within past 12 months," by race/ethnicity and age group. Bars represent 95 percent confidence intervals.

 
Similar racial/ethnic disparities existed regarding receipt of preventive dental care, with significantly fewer Hispanic and non-Hispanic black children receiving preventive care, according to parental reports. Among parents of children aged 12 to 17 years, 64.1 percent of Hispanics and 68.5 percent of non-Hispanic blacks reported that their children had received preventive dental care, compared with 86.7 percent of non-Hispanic whites. Less than 10 percent of parents reported that their children had not received all preventive dental care needed in the previous 12 months (Figure 3Go).


Figure 3
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Figure 3. Percentage of participants reporting that their children "did not receive all preventive care needed in past year," by race/ethnicity and age group. Bars represent 95 percent confidence intervals.

 
Treatment costs and insurance. The main reasons parents gave for their children’s not having received all necessary dental care were related to treatment costs and insurance coverage. Among non-Hispanic white, non-Hispanic black and Hispanic parents who reported that their children had not received all dental care needed, 57.9 percent, 45.6 percent and 64.1 percent, respectively, reported that lack of sufficient care was because it "costs too much," "no insurance" or "health plan problem."

Furthermore, the study findings showed marked racial/ethnic differences with regard to parents’ attitudes about preventive care. Among parents of children aged 12 to 17 years, 20.4 percent of Hispanics compared with only 6.7 percent of non-Hispanic whites thought that routine preventive care was not necessary (Figure 4Go). The final logistic model (Table 3Go) on the predictors of parents’ preventive-care attitudes shows that being non-white remained significantly associated with a poorer or negative attitude (that is, children who did not receive any preventive care during the previous 12 months and whose parents felt that no preventive care was necessary).


Figure 4
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Figure 4. Percentage of participants reporting that their children received "no preventive care in past year, and felt not needed," by race/ethnicity and age group. Bars represent 95 percent confidence intervals.

 

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TABLE 3 Odds ratio (OR) and 95% confidence intervals (CIs) for association between preventive-care attitude and race/ethnicity, education, poverty level and dental insurance.

 
It is important to point out that the reference category for "preventive-care attitude" (that is, children who did receive preventive dental care in the previous 12 months or whose parents thought that preventive care was needed) is not homogeneous with respect to receipt of preventive care (Table 4Go). However, in our initial analyses, we collapsed these categories because the analytic focus of this variable was preventive-care attitude, and the majority of children in the reference category actually did receive routine preventive care. However, this does not imply an assumption of homogeneity regarding all aspects of preventive care, but the reference category appropriately encompasses those parents who thought routine preventive care was necessary (whether or not their children actually received it).


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TABLE 4 Odds ratio (OR) and 95% confidence intervals (CIs) for age- and sex-adjusted association between participants’ characteristics and fair or poor oral health rating, by race/ethnicity.

 
We also analyzed the data using a four-level variable (data not reported), thereby avoiding any collapsing of categories. This alternative approach did not change any of the adjusted estimates. However, as one would hypothesize, parents who thought that preventive care was necessary but their children did not receive it reported that their children had worse oral health than did parents whose children received routine preventive care (Table 4Go). Nevertheless, for simplicity, we maintained a dichotomous outcome variable for the reported analysis, because this adequately describes the association between socioeconomic variables and preventive-care attitude (Table 3Go).

Age- and sex-adjusted analyses show strong associations between socioeconomic indicators and self-reports of fair or poor oral health among all racial/ethnic groups (Table 4Go). The associations between educational levels and poverty levels of families and a parental report of fair or poor oral health in their children were strongest among Hispanics.

Dental insurance coverage was associated with better oral health ratings among all racial/ethnic groups, with the strongest association among Hispanics. Among Hispanics, U.S. nativity and English as the primary language were strongly associated with better oral health ratings (Table 4Go).

Parents whose children did not receive preventive care but who thought it was necessary reported significantly worse oral health in all racial/ethnic groups compared with parents of children who received routine preventive care in the previous 12 months (Table 4Go). Parents who thought that routine preventive care was not necessary did not report worse oral health than did parents of children who did receive routine preventive care. Parents who reported that their children had not received all needed preventive dental care in the previous 12 months were more than five times as likely to report that their children had fair or poor oral health, with no significant differences found among racial/ethnic groups (Table 4Go).

Compared with non-Hispanic whites, non-Hispanic blacks had about twice the odds and Hispanics had more than four times the odds of reporting fair or poor oral health independent of their children’s age and sex (Table 2Go). Further adjustments for poverty level and education markedly attenuated this association. However, additional adjustments for dental insurance and attitude toward preventive dental care did not further attenuate the observed associations (Table 2Go). Even after such adjustments, we found that the odds of reporting fair or poor oral health were more than twice as high among Hispanics compared with non-Hispanic whites.

The National Survey of Children’s Health data show significant differences in parents’ ratings of children’s oral health according to race/ethnicity.

We should point out that Hispanic parents were more likely than non-Hispanic white parents to report that preventive dental care was not necessary even if their children had not received any preventive dental care in the preceding year. However, this attitude regarding preventive dental care was strongly associated with lower education, higher poverty level and lack of dental insurance. After adjusting for these socioeconomic variables, we found that the association of attitude toward preventive dental care with race/ethnicity was attenuated markedly (Table 3Go), although both Hispanics and non-Hispanic blacks still were significantly more likely to have a poorer preventive-care attitude (that is, children who did not receive any preventive care during the previous 12 months and whose parents felt that no preventive care was necessary) than were non-Hispanic whites.


   DISCUSSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
Racial/ethnic disparities. The NSCH data show significant differences in parents’ ratings of children’s oral health according to race/ethnicity, with Hispanics much more likely to report fair or poor oral health. Using data from the NSCH, Liu and colleagues10 described in detail the racial/ethnic disparities in dental care and insurance coverage. It is important to note that their results mirror the pattern of disparities in clinical oral health status reported by other researchers.13,14 Hispanic families are by far the most economically disadvantaged group represented within the NSCH data, with greater proportions reporting incomes below the federal poverty level, less than a high school education and a primary language other than English (Table 1Go).

Disparities in reported oral health status can be explained, at least partially, by these measures of socioeconomic status (Table 2Go). However, even after adjustment for education and poverty level, Hispanic parents were twice as likely as non-Hispanic white parents to report their children’s oral health as being fair or poor (Table 2Go). We should note that poverty level and education measured at one point in time are inexact measures of socioeconomic status, and it is plausible that other dimensions of socioeconomic status may explain the remaining association between race/ethnicity and parental reports of their children’s oral health status.

Overall, these results are consistent with those of previous studies that found that parents from minority groups and those with lower education and greater poverty levels were more likely to report that their children had poor oral health.1517

Parental reports of children’s oral health. Childhood is a critical time to initiate prevention and health promotion efforts. Children must rely on their caregivers for health-related decision making and access to medical and dental care.18 Thus, parents’ perceptions of their children’s oral health status and health care needs are vitally important. Our research focuses on parents’ perceptions of their children’s oral health status. Parental perceptions appear to underreport clinically determined oral health needs,15,17 while such parental perceptions may be influenced by socioeconomic and racial/ethnic characteristics.1517

Data from the Third National Health and Nutrition Examination Survey show that among children aged 2 to 18 years, 22.5 percent had untreated decay, while only 18.0 percent of parents reported a need for dental treatment.15 A survey conducted among Maryland schoolchildren comparing clinical examinations in children with parental reports of oral health status found that only 34 percent of parents whose children had untreated decay were aware of it.17 However, although the sensitivity of parental reports regarding children’s oral health may be low, the specificity of such reports appears to be high.17

Factors other than active disease, such as functional ability and cosmetic appearance, also may affect both clinically determined treatment needs and self-ratings of oral health.13 Because the rating of overall oral health does not discriminate between true dental pathology and esthetic concerns, we conducted a sensitivity analysis limited to those children for whom fair or poor oral health ratings were based on unequivocally nonesthetic problems (such as pain, cavities, broken teeth), which yielded similar results (data not shown).

The relationship between perceived needs, clinical needs and dental care utilization is complex and warrants further exploration; therefore, the results of our study must be interpreted with caution. However, although parents may not be fully cognizant of their children’s dental treatment needs, those who do perceive that their children need care are more likely to seek it. Furthermore, dental care utilization among children in all age, racial and ethnic groups has been shown to be inadequate.15

Preventive-care attitudes. Previous research has shown that low-income children aged 5 through 11 years are more likely to have had dental visits if their mother reported that she felt dental care was important and perceived that her child needed dental care.19 In our study, we attempted to explore parental attitudes toward prevention as a possible determinant of racial/ethnic disparities. In our analyses, we categorized parents as having a negative prevention attitude if they indicated that preventive dental visits were not needed for their children and had not taken their children for such visits in the previous year.

We found that Hispanic parents were more likely to have this negative attitude than were non-Hispanic white or non-Hispanic black parents. However, within each racial/ethnic group, parents who had a positive prevention attitude and parents who did not were equally likely to report their children’s oral health as fair or poor (Table 4Go). Hence, our results do not suggest that preventive-care attitude, as measured in this study, is a significant determinant of racial/ethnic disparities in parental reports of their children’s oral health (Table 2Go).

It may be that some parents do not consider routine preventive care necessary unless they consider their children’s oral health as fair or poor. Nevertheless, a negative prevention attitude was strongly associated with lower socioeconomic status. In fact, differences in preventive-care attitude between racial/ethnic groups were greatly attenuated after we controlled for socioeconomic indicators (Table 3Go). However, routine preventive care, which was defined in the survey as "check-ups, screenings, and sealants," does not include any restorative or emergency dental treatment. It is possible that the parent’s attitude toward prevention may differ from his or her attitude toward treatment of diseases, and the latter may be more important with regard to racial/ethnic disparities in children’s oral health.


   CONCLUSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
 REFERENCES
 
The results of our study show that, on the basis of parental reports, there are significant racial/ethnic disparities in the oral health of U.S. children, with both Hispanic children and non-Hispanic black children being worse off than white children. In addition, Hispanic children also tend to be worse off than non-Hispanic black children, on the basis of parental reports of their children’s oral health status. Although poverty level and education explain a large part of the observed racial/ethnic disparities, significant disparities exist independent of such socioeconomic variables. In particular, even after accounting for such factors, we found that Hispanic children remained significantly more likely than white or black children to have received a parental report of fair or poor oral health (Table 2Go).

The remaining contributors to such oral health disparities may be related to provider-based factors or to other patient-based factors not assessed by the NSCH. It is important to point out that although we found that self-reported attitude toward preventive care differed between white parents and the other two groups (Table 3Go), we found no evidence (comparison of model 3 with model 4 in Table 2Go) that self-reported attitude toward preventive care is a significant determinant of racial/ethnic disparities in children’s oral health status.


   FOOTNOTES
 

Dr. Dietrich is a professor and head, Department of Oral Surgery, The School of Dentistry, University of Birmingham, United Kingdom, and an associate professor, Department of Health Policy and Health Services Research, Boston University Goldman School of Dental Medicine.


Ms. Culler is a clinical instructor, Department of Health Policy and Health Services Research, Boston University Goldman School of Dental Medicine.


Dr. Garcia is a professor and chair, Department of Health Policy and Health Services Research, Boston University Goldman School of Dental Medicine.


Dr. Henshaw is a professor, Department of Health Policy and Health Services Research, Boston University Goldman School of Dental Medicine, 715 Albany St., 560 3rd Floor, Boston, Mass. 02118, e-mail "mhenshaw{at}bu.edu". Address reprint requests to Dr. Henshaw.


Disclosure. The authors did not report any disclosures.


This study was supported by National Institutes of Health grants K23 DE00454, K24 DE00419, U54 DE14264 and U54 DE 019275.


   REFERENCES
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 ABSTRACT
 MATERIALS AND METHODS
 STATISTICAL ANALYSIS
 RESULTS
 DISCUSSION
 CONCLUSION
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  1. Oral health in America: a report of the surgeon general. Rockville, Md.: U.S. Department of Health and Human Services, National Institute of Dental and Craniofacial Research, National Institutes of Health; 2000.

  2. Healthy people 2010: understanding and improving health. 2nd ed. Washington: U.S. Department of Health and Human Services; 2000.

  3. Benyamini Y, Leventhal H, Leventhal EA. Self-rated oral health as an independent predictor of self-rated general health, self-esteem and life satisfaction. Soc Sci Med 2004;59(5):1109–1116.[Medline]

  4. Bergner M, Rothman ML. Health status measures: an overview and guide for selection. Annu Rev Public Health 1987;8:191–210.[Medline]

  5. Atchison KA, Matthias RE, Dolan TA, et al. Comparison of oral health ratings by dentists and dentate elders. J Public Health Dent 1993;53(4):223–230.[Medline]

  6. Jones JA, Kressin NR, Spiro A 3rd, et al. Self-reported and clinical oral health in users of VA health care. J Gerontol A Biol Sci Med Sci 2001;56(1):M55–M62.[Medline]

  7. Jones JA, Spiro A, 3rd, Miller DR, Garcia RI, Kressin NR. Need for dental care in older veterans: assessment of patient-based measures. J Am Geriatr Soc 2002;50(1):163–168.[Medline]

  8. Blumberg SJ, Olson L, Frankel MR, Osborn L, Srinath KP, Giambo P. Design and operation of the National Survey of Children’s Health, 2003. National Center for Health Statistics. Vital Health Stat 2005;1(43).

  9. van Dyck P, Kogan MD, Heppel D, Blumberg SJ, Cynamon ML, Newacheck PW. The National Survey of Children’s Health: a new data resource. Matern Child Health J 2004;8(3):183–188.[Medline]

  10. Liu J, Probst JC, Martin AB, Wang JY, Salinas CF. Disparities in dental insurance coverage and dental care among U.S. children: the National Survey of Children’s Health. Pediatrics 2007;119(suppl 1): S12–S21.[Abstract/Free Full Text]

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  12. Ezzati-Rice TM, Cynamon M, Blumberg SJ, Madans JH. Use of an existing sampling frame to collect broad-based health and health-related data at the state and local level. Federal Committee on Statistical Methodology. 1999 FCSM research conference papers. "www.fcsm.gov/99papers/ezzati.pdf". Accessed Oct. 1, 2008.

  13. Heft MW, Gilbert GH, Shelton BJ, Duncan RP. Relationship of dental status, sociodemographic status, and oral symptoms to perceived need for dental care. Community Dent Oral Epidemiol 2003; 31(5):351–360.[Medline]

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  19. Milgrom P, Mancl L, King B, Weinstein P, Wells N, Jeffcott E. An explanatory model of the dental care utilization of low-income children. Med Care 1998;36(4):554–566.[Medline]





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