1. Introduction
Early childhood caries (ECC) encompasses a range of oral health conditions caused by bacteria that affect the structural architecture of primary teeth in children younger than 71 months. Oral health conditions classified as dental caries include tooth decay, cavities, and caries. In the United States, it is estimated that approximately 23% of children aged 2-5 years have dental caries in their primary teeth (Jackson et al. 2011). ECC is among the leading causes of chronic disease among children, affecting more children than asthma, hay fever, and bronchitis (Kagihara, et al., 2009, Gussy et al., 2006). Further, ECC is 5 times more common than asthma, one of the most recognized chronic health conditions among children (Ezer, et al., 2010)
The etiology and severity of ECC are primarily caused by microbial diseases but are also impacted by feeding and oral cleaning practices. Streptococcus sobrinus and S. mutans are the primary carcinogenic microorganisms responsible for tooth decay. Studies have shown that these bacterial pathogens occupy nearly 30% of the plaque flora in children with ECC (van Houte et al. 1982; Milnes & Bowden 1985). Frequent consumption of fermented carbohydrates and bottle feeding also contribute to ECC development (Harris et al. 2004).
The World Health Organization recommend exclusive breastfeeding for the first 6 months of life and breastfeeding, afterward, they should be introduced to nutritious complementary foods while continuing breastfeeding until at least two years of age or longer (WHO, 2011). Studies have demonstrated the nutritional, social, and economic benefits of breastfeeding in reducing the risk of bacterial, cardiovascular, and respiratory conditions. As new data emerge, our understanding of the importance and function of bacteria beyond pathogenic properties expands. Despite these findings, breastfeeding has been noted as a potential risk factor for oral health diseases, specifically ECC (Dini et al., 2000; Sayegh et al. 2005). Furthermore, the American Academy of Pediatric Dentistry cites nocturnal bottle or breastfeeding as potential risk factors for ECC. However, more recent studies have presented conflicting results regarding the role of breastfeeding and its duration on ECC risk (Lida et al. 2007; Nunes et al. 2012).
To our knowledge, no studies have assessed the association between breastfeeding and pediatric oral health problems using nationally representative data from the United States. Additionally, it is unknown whether this association varies by race. We aimed to characterize the racial/ethnic heterogeneity in breastfeeding practices as it relates to oral health disorders in early childhood using national data. Specifically, we sought to assess the effects of exclusive breastfeeding during the first six months of life on the development of oral health disorders, mainly toothache, decayed teeth, or unfilled cavities, stratified race/ethnicity, namely Hispanics, non-Hispanic whites, and non-Hispanic blacks.
2. Materials and Methods
2.1. Data Source
We conducted a retrospective analysis of data collected from the National Survey of Children’s Health (NSCH) between 2011 and 2012. A secondary data analysis was performed using the NSCH data to assess the association between infant feeding practices and childhood oral health disorders. A nationally represented sample across the U.S. was created using randomly sampled telephone calls to capture the health and social experiences of non-institutionalized children ages 0-17 years. An adult family member with the most knowledge of a randomly selected child living in the household was queried. Surveys included questions about the child’s health and well-being, in addition to information regarding family- and neighborhood-level demographic characteristics. Further details regarding the methodology and sampling technique have been described elsewhere (Palinkas, et al., 2015).
The study utilized data from the National Survey of Children's Health (NSCH) conducted in 2011-2012. This survey is designed to provide national and state-level estimates on various aspects of children's health and well-being. The original NSCH sample included 95,677 child-guardian pairs aged 0-17 years. However, for this specific analysis focused on breastfeeding and early childhood oral health, the researchers restricted their sample to 24,655 children aged 6 months to 5 years. This age range was selected because it aligns with the period when exclusive breastfeeding typically occurs and when early childhood caries (ECC) can develop. The patient selection process for the NSCH involves a complex, stratified random sampling design to ensure a nationally representative sample. Households across the United States were randomly contacted via telephone surveys. In each selected household with children, one child was randomly chosen as the subject of the interview. An adult family member (usually a parent or guardian) most knowledgeable about the selected child's health and health care was interviewed.
It's important to note that this study was a cross-sectional analysis of the NSCH data, not a longitudinal study with follow-up periods. The data were collected at a single time point for each participant, providing a snapshot of the child's health status, breastfeeding history, and oral health outcomes. There was no active monitoring or follow-up of patients over time. Instead, the study relied on retrospective reporting from parents/guardians about their child's breastfeeding history and current oral health status.
The lack of longitudinal follow-up is a limitation of this study design, as it doesn't allow for the direct observation of how breastfeeding practices influence oral health outcomes over time. However, this approach does enable the researchers to analyze a large, nationally representative sample, providing valuable insights into population-level associations between breastfeeding practices and oral health outcomes. Future research using prospective cohort designs could provide more robust evidence on the causal relationships between early feeding practices and subsequent oral health outcomes in children.
Given the design of our study and the data source (secondary data analysis of publicly accessible data), IRB approval was not necessary, and informed consent was not required.
2.2. Study Population
The original study collected information from 95,677 child-guardian pairs aged 0-17 years. Given the focus on exclusive breastfeeding to six months, our analysis is restricted to 24,655 children aged 6 months – 5 years old, representing over 19.7 million children. (Parents/guardians of children older than 5 years of age were not asked questions about early childhood [section 6], including breastfeeding exposure.)
2.3.1. Variable Selection/Ascertainment
Dependent Variable (Outcome) The primary outcome variable in this study was oral health problems, characterized as the presence of toothache, decayed teeth, or unfilled cavities. For children aged 6 months -- 5 years with natural teeth, respondents were asked about their history of toothache, decayed teeth, or unfilled cavities in the past 12 months.
Did [S.C.] have a toothache, decayed teeth, or unfilled cavities?” Survey responses included “Yes,” “No, ” and “Don’t Know.”
2.3.2. Independent Variable
The primary independent variable was breastfeeding or being fed breast milk. This variable was constructed from responses to four questions regarding breastfeeding patterns and duration, resulting in three categories: never breastfed, breastfed (or fed breast milk) exclusively for six months, and non-exclusively breastfed (or fed breastmilk).
Given that the purpose of the study was to assess the effect of breastfeeding on oral health, participants who did not provide information about exposure to oral health problems or breastfeeding patterns were excluded from the sample.
2.3. Variables Selection
2.3.3. Confounding Variables
Potential confounding variables included:
Maternal education (less than high school, high school graduate, more than high school)
Poverty index (DHHS Poverty Level)
Health insurance type (private, public, currently uninsured)
The study variables consisted of race/ethnicity, maternal education (less than high school, high school graduate, more than high school), poverty index, health insurance type (private, public, currently uninsured), and maternal health status (excellent/very good, good, fair/poor). Given that specific information about dental insurance was not collected in the 2011 version of the NSCH survey, access to health insurance was used as a proxy for dental insurance coverage.
2.3.4. Additional Variables Additional Variables related to Dental Health Care Utilization Were also Included
Additional covariates used in the analysis included receipt of dental care and unmet dental needs. To estimate dental service utilization, parents/guardians were asked, “During the past 12 months, did the child see a dentist for any kind of dental care, including check-ups, dental cleanings, x-rays, or filling cavities?” To assess the prevalence of unmet dental needs participants were asked, “During the past 12 months, was there any time when the child needed [dental] care but it was delayed or not received?” Participants who responded “No” to either question were classified as not utilizing dental care services or having an unmet dental need.
Suspected confounding variables were selected a priori based on being known predictors of poor oral health among children. To account for the diversity of experience in racial/ethnic groups, we computed a combined four-category race/ethnicity variable using information collected on racial and ethnic identification in the NSCH survey. Those who were identified as Hispanic/Latino were categorized as such in the computed variable. All other participants were categorized as non-Hispanic and one of three racial categories (non-Hispanic white, non-Hispanic black, and non-Hispanic multiracial/other), as reported by parents/guardians.
2.4. Statistical Analyses
Categorical and nominal variables are summarized using frequencies and percentages. To assess the association between exclusive breastfeeding and oral health outcomes, logistic regression models were used to determine the effects of demographic characteristics on oral health problems. Unconditional multivariable logistic regression models were used to assess the association between breastfeeding patterns and oral health disorders, adjusting for the effects of race/ethnicity, maternal education, poverty index, insurance coverage, unmet dental needs, dental care receipt, and maternal health status. Finally, forward loading and backward elimination were employed to characterize the final model. To determine the precision measure on the association between breastfeeding and oral health problems, the confidence interval (CI) was set at 95%, while the statistical significance level was set at 0.05 (5%) as type I error tolerance for univariable analysis. Additionally, the precision measure for the multivariable assessment was set at 99% CI, while type-I error tolerance was set at 1% (0.01). All tests were two-tailed, while STATA Statistical Software, Version 17.0 (STATA Corp, College Station, TX) was used in all analyses.
3. Results
Table 1 provides a detailed breakdown of the study characteristics, stratified by race/ethnicity, highlighting differences in breastfeeding practices, maternal education levels, and oral health care access among different racial groups.
Among the children included in our final sample, 19,145 (77.6%) were breastfed (or fed breast milk) and 4,117 (16.7%) were breastfed exclusively for the first 6 months (
Table 1). Approximately 9.7% (n=2,391) of children experienced a toothache, decayed teeth, or unfilled cavity in the past 12 months.
In the unadjusted analysis (
Table 2), breastfeeding appeared to be a protective factor against poor oral health. Children breastfed exclusively for the first 6 months were 28% less likely to have an oral health problem in the past 12 months when compared to children who were never breastfed (or fed breast milk), OR = 0.72, 95% CI 0.52-0.98.
However, after adjusting for health insurance, maternal education and overall health, unmet dental needs, and dental care receipt (
Table 3), the protective nature of breastfeeding on oral health problems did not persist. In the multivariable model, exclusive breastfeeding at six months was not associated with toothache, decayed teeth, or unfilled cavities, adjusted odds ratio (aOR) = 1.11, 99% CI 0.71-1.75. Similarly, non-exclusive breastfeeding showed no significant association with oral health outcomes (aOR = 1.04, 99% CI 0.75-1.46).
The adjusted models (
Table 3) identified several other factors as significant predictors of oral health problems:
Race/ethnicity: Non-Hispanic black (aOR = 1.60, 99% CI 1.03-2.50) and non-Hispanic multiracial/other children (aOR = 1.79, 99% CI 1.18-2.72) had an increased risk for oral health problems compared to non-Hispanic white children.
Maternal health: Children of mothers with fair/poor health had a 70% increased risk for poor oral health compared to children of mothers with excellent/very good health (aOR = 1.70, 99% CI 1.08-2.69).
Unmet dental needs: Children with unmet dental needs were 8 times more likely to have an oral health problem compared to children who did not experience delays in dental care (aOR = 8.20, 99% CI 3.56-18.85).
Dental care: Children who did not receive any dental care in the past 12 months had an 86% reduced risk for oral health problems (aOR = 0.14, 99% CI 0.09-0.20).
These findings suggest that while breastfeeding practices were not significantly associated with oral health outcomes in the adjusted models, other factors such as race/ethnicity, maternal health, and access to dental care play crucial roles in determining oral health outcomes in early childhood (
Table 3).
4. Discussion
This study aimed to assess the association between exclusive breastfeeding (during the first 6 months of life) and later adverse oral health outcomes in early childhood. Given the magnitude of the data, the U.S. The National Survey of Children’s Health 2012 was used to perform a retrospective analysis. Our findings suggest that breastfeeding (or consumption of breast milk) is not associated with oral health problems in young children. Additionally, the data implicate maternal health as a significant predictor of oral health problems in early childhood and suggest that an estimated 8.9 million children in the United States potentially have undiagnosed and untreated poor oral health, posing an undue burden, especially on those who are most vulnerable.
Poor oral health is associated with increased school absences, poor school performance, and reduced quality of life (Jackson et al. 2011; Filstrup et al. 2003). Jackson et al., in their study of the impact of oral health on school performance among school children in North Carolina, found that relative to children with excellent and very good oral health status, children with good, fair, or poor oral health status were almost 3 times more likely to miss school due to dental pain (2011). Additionally, Jackson and colleagues found an independent association between oral health status and school performance, where children with good, fair, or poor oral health were more likely to underperform in school when compared to children with excellent and very good health status (2011).
Our findings show that the prevalence of breastfeeding was greatest in non-Hispanic whites and lowest in non-Hispanic blacks. This finding is consistent with the data presented in previous studies. Even after adjusting for known risk factors, the association between race/ethnicity and oral health problems remained for non-Hispanic Black and multi-racial/other children. An analysis of the 2003 NSCH data found that regardless of dental insurance type or income, black children were less likely to use preventive dental care services (Lewis and Stout, 2010). Conversely, this may explain why the association between Hispanic ethnicity and oral health problems disappeared in the multivariable models. These findings suggest that the causal pathway for poor oral health is different for racial/ethnic groups, and perhaps health insurance best explains the observed association between Hispanic ethnicity and poor oral health in the bivariate models.
We estimated the prevalence of oral health problems (toothache, decayed teeth, and unfilled cavities) to be approximately 9.6% of the pediatric population, affecting more than 2.1 million children in the United States. Further, we estimated that approximately 8.9 million children did not receive dental care services in the last year. The American Academy of Pediatric Dentistry recommends oral hygiene counseling and caries risk assessment every 6 months.
Maternal health was observed to be an independent indicator of poor oral health, where children raised by mothers with excellent/very good health had the lowest risk of developing poor oral health. This finding is consistent with previously published data on the influence of maternal health on pediatric oral health outcomes. Some studies indicate that maternal depression may have an impact on maternal awareness of child health and subsequent healthcare utilization. This may be impacted by the mother’s prioritization of dental health needs in relation to seemingly more important tasks and responsibilities.
Children with public insurance were more likely to have oral health disorders than children with private insurance. Consistent with the literature, we observed a dose-response relationship between poverty level and oral health disorders, where children in the fourth quintile were least likely to have toothaches, decayed teeth, or caries as compared to children in the first quartile. It is likely that children from lower socioeconomic backgrounds are less likely to have health or dental insurance or experience difficulties in covering any out-of-pocket expenses related to dental care services.
This study had several limitations. All the data for NSCH were collected from parents/guardians at a single time-point, and therefore we cannot assert temporality between some of the health-seeking behaviors and the primary outcome – oral health problems. For the primary research question, this is not of concern because for most children, breastfeeding exposure is time bound to the first year of life, occurring before the development of caries. In addition, beginning with the 2007 NSCH survey, data were no longer collected for dental insurance. In our study, we used health insurance coverage as a proxy for dental insurance, recognizing the potential overestimation of insurance coverage for the sample. Despite these concerns, some data show that health insurance is an appropriate proxy measure for dental insurance. Under Medicaid and the Children’s Health Insurance Program (CHIP), comprehensive dental care visits are free for children.
In summary, health insurance, maternal education and health, minority racial identification, and unmet dental needs predicted oral health disorders in our study sample. It is important to acknowledge potential biases that may have influenced our findings. Information bias, particularly recall bias, is a significant concern in this study. Parents/guardians were asked to report on breastfeeding practices that occurred several years prior to the survey, which may have led to inaccurate recollections, especially regarding the duration and exclusivity of breastfeeding. Additionally, the self-reported nature of oral health problems might be subject to under- or over-reporting, depending on parents' awareness and interpretation of their children's oral health status. This reliance on self-reported data could lead to misclassification or measurement errors, particularly when asked about dietary habits. The use of telephone surveys for data collection introduces the possibility of sampling bias. Households without landline telephones or those who primarily use cell phones may have been underrepresented, potentially affecting the generalizability of our findings. This sampling approach might have led to an underrepresentation of certain demographic groups, such as younger parents or those from lower socioeconomic backgrounds, who are more likely to rely solely on cell phones. Furthermore, respondents willing to participate in telephone surveys may differ systematically from those who do not, potentially limiting the generalizability of the findings. The cross-sectional nature of the data also limits our ability to establish causal relationships between breastfeeding practices and oral health outcomes. Despite these limitations, the large sample size and the use of nationally representative data strengthen the validity of our findings. Future studies employing prospective designs and more objective measures of oral health status could help address these potential biases and further elucidate the relationship between breastfeeding and early childhood oral health. These biases should be carefully considered when interpreting the study results. This is the largest study to determine the association between breastfeeding and oral health problems in children using nationally representative data from the United States. Our findings suggest that about 9 million children in the United States may not be receiving the recommended dental care in the form of dental cleanings, oral hygiene counseling, and caries risk assessments. It's also worth noting that anatomical factors, such as ankyloglossia (tongue-tie) due to a short lingual frenulum, can interfere with breastfeeding (Tomara, et al., 2023). This condition may lead some mothers to discontinue breastfeeding early if not properly diagnosed and treated. Even with Medicaid and CHIP expansions and increased dental care coverage, millions of children do not receive recommended oral health assessments and care. Analysis of the 2012 data from the most reliable data source for national dental-care utilization found that 39.5% of children with public insurance received dental care (Nasseh and Vujicic, 2014).
Our study provides critical insights into the relationship between oral health and children's overall well-being, particularly in the context of school performance, absenteeism, and early childhood health. We found a strong correlation between poor oral health and increased school absences and lower academic achievement. This emphasizes the importance of early and effective oral health interventions, particularly in underserved communities, to address the negative impacts on educational outcomes and quality of life. Additionally, this large-scale, nationally representative study examined the relationship between breastfeeding practices and early childhood oral health in the United States. Contrary to some concerns, our findings suggest that exclusive breastfeeding for the first six months of life is not associated with an increased risk of oral health problems. However, significant predictors of poor oral health outcomes were identified, including racial/ethnic disparities, maternal health status, and access to dental care. Notably, children with unmet dental needs faced a substantially higher risk for oral health problems, underscoring the importance of early and regular dental care. These results highlight the need for targeted interventions to address disparities in oral health care access, particularly among minority and socioeconomically disadvantaged populations, while also emphasizing the critical role of maternal health in pediatric oral health outcomes. Comprehensive public health policies that integrate oral health programs within schools and combine maternal and child health care approaches could have significant benefits for both academic success and long-term health outcomes.
Author Contributions
Professor Laurens Holmes, Jr (LH) conceptualized the study and the design and method approached, performed the analysis and interpretation of the data, as well as addressed the discussion, limitations and recommendation. JW addressed the analysis and interpretation as well as data tabulation, while KD addressed the materials and method section. The discussion as well as the limitation section of this study was addressed by VJ, while BO addressed the introduction and background section of the study; NT prepared the background and introduction as well as the design and interpretation as well; and ME addressed the data analysis, design and method section as well as interpretation, limitations and recommendation.
Funding
There is no external funding in this study conceptualization, analysis and electroscript (manuscript) preparation and submission
Institutional Review Board Statement
This is a secondary data evaluation from the United States National Survey of Children’s Health.
Informed Consent Statement
As a secondary data, there is no informed consent.
Data Availability Statement
This study applied the secondary data from the National Survey of Children’s Health with Data Used Approval to Professor Laurens Holmes, Jr.
Conflicts of Interest
All authors have declared no conflict of interest
References
- Dini, E. L., R. D. Holt, and R. Bedi. "Prevalence of caries and developmental defects of enamel in 9-10 year old children living in areas in Brazil with differing water fluoride histories." British Dental Journal 188, no. 3 (2000): 146-149. [CrossRef]
- Ezer, Michelle S., N. Swoboda, and D. J. O. H. Farkouh. "Early childhood caries: The dental disease of infants." Journal Oral Health 100, no. 1 (2010).
- Filstrup, Sara L., MS Dan Briskie, DDS Marcio da Fonseca, Leslie Lawrence, and MS Angela Wandera. " Early childhood caries and quality of life: child and parent perspectives." Pediatric dentistry 25, no. 5 (2003).
- Gussy, Mark G., Elizabeth G. Waters, Orla Walsh, and Nicola M. Kilpatrick. "Early childhood caries: current evidence for aetiology and prevention." Journal of paediatrics and child health 42, no. 1-2 (2006): 37-43. [CrossRef]
- Harris, Rebecca, Alison D. Nicoll, Pauline M. Adair, and Cynthia M. Pine. "Risk factors for dental caries in young children: a systematic review of the literature." Community dental health 21, no. 1 (2004): 71-85.
- Iida, Hiroko, Peggy Auinger, Ronald J. Billings, and Michael Weitzman. "Association between infant breastfeeding and early childhood caries in the United States." Pediatrics 120, no. 4 (2007): e944-e952. [CrossRef]
- Jackson, Stephanie L., William F. Vann Jr, Jonathan B. Kotch, Bhavna T. Pahel, and Jessica Y. Lee. "Impact of poor oral health on children's school attendance and performance." American journal of public health 101, no. 10 (2011): 1900-1906.
- Kagihara, Lynette E., Victoria P. Niederhauser, and Marialiana Stark. "Assessment, management, and prevention of early childhood caries." Journal of the American Association of nurse practitioners 21, no. 1 (2009): 1-10.
- Milnes, A. R., and G. H. W. Bowden. "The microflora associated with developing lesions of nursing caries." Caries research 19, no. 4 (1985): 289-297. [CrossRef]
- Nasseh, Kamyar, and Marko Vujicic. "Dental care utilization steady among working-age adults and children, up slightly among the elderly." Health Policy Institute Research Brief. American Dental Association. October (2016).
- Nunes, Ana Margarida Melo, Claudia Maria Coelho Alves, Fernando Borba de Araujo, Tânia Mara Lopes Ortiz, Marizélia Rodrigues Costa Ribeiro, Antônio Augusto Moura da Silva, and Cecília Claudia Costa Ribeiro. "Association between prolonged breast-feeding and early childhood caries: a hierarchical approach." Community dentistry and oral epidemiology 40, no. 6 (2012): 542-549. [CrossRef]
- Oral health problem.
- Palinkas, Lawrence A., Sarah M. Horwitz, Carla A. Green, Jennifer P. Wisdom, Naihua Duan, and Kimberly Hoagwood. "Purposeful sampling for qualitative data collection and analysis in mixed method implementation research." Administration and policy in mental health and mental health services research 42 (2015): 533-544. [CrossRef]
- Sayegh, A., E. L. Dini, R. D. Holt, and R. Bedi. "Oral health, sociodemographic factors, dietary and oral hygiene practices in Jordanian children." Journal of dentistry 33, no. 5 (2005): 379-388. [CrossRef]
- Tomara, Eirini, Maria Dagla, Evangelia Antoniou, and Georgios Iatrakis. "Ankyloglossia as a Barrier to Breastfeeding: A Literature Review." Children 10, no. 12 (2023): 1902. [CrossRef]
- Van Houte, J., G. Gibbs, and C. Butera. "Oral flora of children with" nursing bottle caries"." Journal of dental research 61, no. 2 (1982): 382-385. [CrossRef]
- World Health Organization. "Exclusive breastfeeding for six months best for babies everywhere." (2011).
Table 1.
Characteristics of Study Participants by Race/Ethnicity.
Table 1.
Characteristics of Study Participants by Race/Ethnicity.
Variable |
Race |
White, non-Hispanic |
Black, non-Hispanic |
Hispanic |
Multi-racial/Other, non-Hispanic |
Sex |
n(%) |
n(%) |
n(%) |
n(%) |
Male |
7,614 (50.8) |
1,139 (50.9) |
1,957 (51.7) |
1,523 (50.0) |
Female |
7,385 (49.2) |
1,098 (49.1) |
1,829 (48.3) |
1,525 (50.0) |
Breastfeeding |
|
|
|
|
Never Breastfed |
3,080 (20.5) |
861 (38.4) |
748 (19.8) |
690 (22.6) |
Exclusive 6 months |
2.674 (17.8) |
240 (10.7) |
587 (15.5) |
518 (17.0) |
Breastfed, Non-Exclusively |
9,254 (61.7) |
1,139 (50.9) |
2,453 (64.8) |
1,843 (60.4) |
Maternal Education |
|
|
|
|
Less than High School |
548 (3.8) |
178 (8.8) |
934 (26.2) |
201 (7.0) |
High School Graduate |
2,173 (15,2) |
485 (23.9) |
900 (25.2) |
556 (19.4) |
More than High School |
11,566 (81.0) |
1,365 (67.3) |
1,738 (48.7) |
2,112 (73.6) |
Unmet Dental Needs |
|
|
|
|
No |
14,821 (98.8) |
2,198 (98.3) |
3,739 (98.8) |
2,990 (98.2) |
Yes |
179 (1.2) |
38 (1.7) |
44 (1.2) |
56 (1.8) |
Mother’s Mental/Emotional Health |
|
|
|
|
Excellent/Very Good |
11,475 (80.2) |
1,446 (71.2) |
2,401 (66.7) |
2,140 (74.5) |
Good |
2,209 (15.5) |
422 (20.8) |
917 (25.5) |
557 (19.4) |
Fair/Poor |
616 (4.3) |
164 (8.1) |
281 (7.8) |
177 (6.2) |
Insurance Type Coverage |
|
|
|
|
Private |
10,694 (71.8) |
781 (35.5) |
1,332 (35.8) |
1,697 (56.9) |
Public |
3,740 (25.1) |
1,342 (60.9) |
2,171 (58.3) |
1,155 (38.7) |
Currently Uninsured |
451 (3.0) |
79 (3.6) |
220 (5.9) |
130 (4.4) |
DHHS Poverty Level |
|
|
|
|
<99% FPL |
1,551 (11.1) |
672 (32.9) |
1,291 (37.5) |
626 (22.2) |
100-199% FPL |
2,395 (17.1) |
487 (23.8) |
878 (25.5) |
548 (19.4) |
200-399% FPL |
4,682 (33.4) |
497 (24.3) |
703 (20.4) |
714 (25.3) |
≥400% FPL |
5,377 (38.4) |
388 (19.0) |
569 (16.5) |
934 (33.1) |
Oral Health Disorders |
|
|
|
|
No |
13,860 (92.4) |
1,951 (87.1) |
3,284 (86.7) |
2,666 (87.4) |
Yes |
1,148 (7.7) |
289 (12.9) |
504 (13.3) |
385 (12.6) |
Oral Health Prevention |
|
|
|
|
1 or more preventive care |
8,187 (54.6) |
1,362 (61.0) |
2,175 (57.6) |
1,611 (53.0) |
No Preventive Visits |
6,797 (45.4) |
871 (39.0) |
1,602 (42.4) |
1,429 (47.0) |
Oral Health Care |
|
|
|
|
Received dental care |
8,250 (55.0) |
1,374 (61.4) |
2,197 (58.1) |
1,639 (53.8) |
No dental care |
6,740 (45.0) |
865 (38.7) |
1,584 (41.9) |
1,407 (46.2) |
Table 2.
Association Between Breastfeeding Practices and Oral Health Outcomes.
Table 2.
Association Between Breastfeeding Practices and Oral Health Outcomes.
Variable |
Oral Health Disorders (Toothache, Decayed Teeth, Unfilled Cavity) |
|
|
Yes |
No |
X2 (df) |
p |
Race/Ethnicity |
|
|
184.8 (3) |
<0.001 |
White, non-Hispanic |
1,148 (7.7) |
13,860 (92.4) |
Black, non-Hispanic |
289 (12.9) |
1,951 (87.1) |
Hispanic |
504 (13.3) |
3,284 (86.7) |
Multi-racial/Other, non-Hispanic |
385 (12.6) |
2,666 (87.4) |
Sex |
|
|
7.0 (1) |
0.008 |
Male |
1,275 (53.3) |
11,233 (50.5) |
Female |
1,116 (46.7) |
11,022 (49.5) |
Breastfeeding |
|
|
53.0 (2) |
<0.001 |
Never Breastfed |
676 (28.3) |
4,844 (21.8) |
Exclusive 6 months |
377 (15.8) |
3,740 (16.8) |
Breastfed, Non-Exclusively |
1,339 (56.0) |
13,689 (61.5) |
Maternal Education |
|
|
314.4 (2) |
<0.001 |
Less than High School |
388 (15.7) |
1,536 (7.4) |
High School Graduate |
550 (25.6) |
3,587 (17.3) |
More than High School |
1,260 (58.7) |
15,657 (75.4) |
Unmet Dental Needs |
|
|
303.1 (1) |
<0.001 |
No |
2,265 (94.8) |
22,051 (99.1) |
Yes |
124 (5.2) |
202 (0.9) |
Mother’s Mental/Emotional Health |
|
|
129.5 (2) |
<0.001 |
Excellent/Very Good |
1,461 (66.9) |
16,250 (77.5) |
Good |
533 (24.4) |
3,655 (17.4) |
Fair/Poor |
190 (8.7) |
1,069 (5.1) |
Insurance Type Coverage |
|
|
345.5 (2) |
<0.001 |
Private |
1,017 (43.2) |
13,780 (62.7) |
Public |
1,234 (52.4) |
7,413 (33.7) |
Currently Uninsured |
104 (4.4) |
801 (3.6) |
DHHS Poverty Level |
|
|
310.1 (3) |
<0.001 |
<99% FPL |
648 (29.6) |
3,520 (17.4) |
100-199% FPL |
536 (24.5) |
3,809 (18.8) |
200-399% FPL |
551 (25.1) |
6,080 (30.0) |
≥400% FPL |
457 (20.9) |
6,865 (33.9) |
Oral Health Prevention |
|
|
1.2 e 03 (1) |
<0.001 |
1 or more preventive care |
2,114 (88.5) |
11,557 (52.0) |
No Preventive Visits |
274 (11.5) |
10,668 (48.0) |
Oral Health Care |
|
|
1.2 e 03 (1) |
<0.001 |
Received dental care |
2,128 (89.0) |
11,672 (52.5) |
No dental care |
263 (11.0) |
10,571 (47.5) |
Table 3.
Adjusted Odds Ratios for Oral Health Outcomes by Breastfeeding Duration.
Table 3.
Adjusted Odds Ratios for Oral Health Outcomes by Breastfeeding Duration.
Variable |
Model I |
Model II |
Model III |
|
Odds Ratio (95% CI) |
Adjusted Odds Ratio (99% CI) |
Adjusted Odds Ratio (99% CI) |
Race/Ethnicity |
|
|
|
White, non-Hispanic |
1.00 |
1.00 |
1.00 |
Black, non-Hispanic |
2.01 (1.54-2.64)*** |
1.60 (1.03-2.50)** |
1.54 (0.99-2.38)* |
Hispanic |
2.21 (1.73-2.82)*** |
1.10 (0.75-1.60) |
1.08 (0.73-1.60) |
Multi-racial/Other, non-Hispanic |
1.70 (1.28-2.26)*** |
1.79 (1.18-2.72)*** |
1.82 (1.18-2.79)*** |
Sex |
|
|
|
Male |
1.00 |
1.00 |
1.00 |
Female |
0.95 (0.78-1.16) |
- |
- |
Breastfeeding |
|
|
|
Never Breastfed |
1.00 |
1.00 |
1.00 |
Exclusive 6 months |
0.72 (0.52-0.98)* |
1.11 (0.71-1.75) |
1.10 (0.70-1.74) |
Breastfed, Non-Exclusively |
0.73 (0.58-0.92)** |
1.04 (0.75-1.46) |
1.03 (0.73-1.46) |
Maternal Education |
|
|
|
Less than High School |
1.00 |
1.00 |
1.00 |
High School Graduate |
0.64 (0.47-0.87)** |
0.63 (0.41-0.97)* |
0.59 (0.38-0.94)** |
More than High School |
0.35 (0.27-0.46)*** |
0.39 (0.26-0.61)*** |
0.40 (0.25-0.65)*** |
Unmet Dental Needs |
|
|
|
No |
1.00 |
1.00 |
|
Yes |
7.38 (4.58-11.9)*** |
8.20 (3.56-18.85)*** |
8.65 (3.62-20.7)*** |
Mother’s Health |
|
|
|
Excellent/Very Good |
1.00 |
1.00 |
1.00 |
Good |
1.78 (1.41-2.24)*** |
1.35 (0.96-1.92)* |
1.35 (0.95-1.92)* |
Fair/Poor |
2.36 (1.75-3.17)*** |
1.70 (1.08-2.69)** |
1.51 (0.96-2.37)* |
Insurance Type Coverage |
|
|
|
Private |
1.00 |
1.00 |
1.00 |
Public |
2.27 (1.86-2.77)*** |
1.29 (0.92-1.82) |
- |
Currently Uninsured |
2.28 (1.34-3.88)** |
1.82 (0.83-3.97)* |
- |
DHHS Poverty Level |
|
|
|
<99% FPL |
1.00 |
1.00 |
1.00 |
100-199% FPL |
0.78 (0.60-1.03) |
- |
1.11 (0.74-1.67) |
200-399% FPL |
0.55 (0.41-0.73)*** |
- |
0.84 (0.52-1.35) |
≥400% FPL |
0.32 (0.25-0.42)*** |
- |
0.57 (0.36-0.91)** |
Oral Health Prevention |
|
|
|
1 or more preventive care |
1.00 |
1.00 |
1.00 |
No preventive visits |
0.16 (0.12-0.21)*** |
- |
- |
Oral Health Care |
|
|
|
Received dental care |
1.00 |
1.00 |
1.00 |
No dental care |
0.16 (0.12-0.21)*** |
0.14 (0.09-0.20)*** |
0.14 (0.09-0.21)*** |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).