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Journal of Appalachian Health logoLink to Journal of Appalachian Health
. 2025 Sep 1;7(3):120–136. doi: 10.13023/jah.0703.09

The Status of Children’s Dental Health in Rural Appalachian West Virginia

R Constance Wiener 1, Gina Graziani 2
PMCID: PMC12440299  PMID: 40964415

Abstract

Introduction

Non-metro/rural Appalachian West Virginia (WV) residents have been stigmatized for poor oral health (OH), despite many advances.

Purpose

The aims of this study were to examine current OH in children in WV, as compared to children in the greater United States (U.S.), and secondarily in subgroup non-metro/rural comparisons.

Methods

This observational study involved the U.S. National Survey of Children’s Health 2022–2023 data from parents/guardians who were asked about their child’s previous 12-month OH. Rao-Scott Chi-square and logistic regression analyses were used.

Results

Nationally, the mean age was 9.7 years; for WV children, it was 9.9 years. Nationally, 12.4% of children lived in non-metro/rural areas; in WV, 36.5% of children lived in non-metro/rural areas. Children from WV were similar or had slightly more positive outcomes of being more likely to see a dentist, have a dental prophylaxis, have a professional fluoride treatment, have sealant placement, and to have both preventive dental and medical care, as compared to children in the rest of the nation. Among non-metro/rural children, WV children were more likely to see a dentist and have ≥1 preventive dental visit(s), dental prophylaxis, oral hygiene instructions, fluoride, sealant(s), and to have both preventive dental and medical care.

Implications

Children living in WV have similar or slightly better OH than children living in the U.S. overall. Similarly, children living in non-metro/rural WV have similar or slightly better OH than children living in non-metro/rural U.S. These positive results are often obscured by the previous health history in rural WV. Overall, there remains a need to continue to improve OH, particularly in improving the number of children who have preventive dental care.

Keywords: Appalachia, Metro, National Survey of Children’s Health, Oral health, rural, West Virginia

INTRODUCTION

Studying oral health (OH) in rural states, such as West Virginia (WV), remains important, as there are many public health challenges identified in rural areas: lack of insurance, poverty,1 education,2 and provider shortages. For example, WV has 49 dentists per 100,000 residents,3 while the greater United States (U.S.) has 60.84 per 100,000, as of 2021.4 There is also the issue of rural time-distance barriers for OH visits in WV.5 For rural Medicaid-managed primary care, the mean travel-time to providers is 44.7 minutes, compared to 28.9 minutes for urban residents.5 Nevertheless, OH in some U.S. rural regions has had recent successes. Success in WV is often overlooked due to persistent prejudices about rurality, lack of reliable and recent data, and the use of reporting measures which hide existent progress.6 Descriptors of preventive dental service utilization and self-assessment of OH provide detailed appraisals of incident OH status, particularly for children. There is limited current data about OH progress of WV children as it compares with the rest of the nation with such descriptors. Therefore, the aims of this study were to examine (1) current OH conditions of children in WV v children overall in the U.S. (excluding WV); and (2) current OH conditions of non-metro/rural children in WV versus non-metro/rural children in the U.S. (excluding WV).

METHODS

Data for this cross-sectional study were of non-institutionalized U.S. children from years 2022 (n=54,103) and 2023 (n=55,162) of the U.S. National Survey of Children’s Health (NSCH)7 designed by the Maternal and Child Health Bureau and Services Administration; Census Bureau; National Center for Health Statistics (CDC); Child and Adolescent Health Measurement Initiative; and an expert panel.7.8 NSCH questions were presented to parents/guardians who responded about demographics, social factors, healthcare availability, and child/family health, including the OH status of their child over the previous 12 months. They were asked about having seen a dentist and/or other healthcare provider, if there were any OH problems (e.g. toothaches, bleeding gingiva, dental caries), examinations, preventive visits, prophylaxis, oral hygiene instructions, radiographs, professional fluoride, dental sealants, and having both preventive dental and preventive medical care (Table 1). The NSCH provides sample weights for the data to be representative of the U.S. population at large.7

Table 1.

Comparison of National and WV Dental Services Received by Children Ages 1–17 years, National Survey of Children’s Health, 2022–2023, n = 90,430

Number Nation-wide (excludes WV) Generalized Nationwide Population Estimate of Children Represented Nation-wide % (Confidence Interval) Number WV Generalized WV Population Estimate of Children Represented WV % (Confidence Interval) Rao-Scott Chi Square p-value (Phi) Adjusted Odds Ratio Comparing WV to the Nation (95% Confidence Interval) p-Value
The number of children whose parents reported excellent/very good condition of teeth (“Excellent/very good/good” is event modeled) 84,725 58037875 94.1 (93.7–94.4) 1,446 303,754 94.8 (93.0,96.6) 0.4497 (0.0025) 1.36 (0.94–1.96) 0.1064
Did not see a dentist and/or other oral healthcare provider during past 12 months (“Yes, visit” is the event modeled) 13,781 9,980,743 16.2 (15.6–16.7) 211 41,331 12.9 (10.5, 15.2)) 0.0132 (0.0132) 1.49 (1.19–1.86) 0.0004
Had no oral health problems during past 12 months (“No problem” is the event modeled) 77,782 52,737,054 85.4 (84.9–85.9) 1,310 271,435 84.2 (81.6–86.8) 0.3581 (0.0031) 1.01 (0.83–1,25) 0.8678
Had no toothaches during past 12 months (“No toothache” is the event modeled) 85,522 59,004,954 96.1 (95.8–96.3) 1,441 303,634 94.7 (93.0–96.5) 0.0891 (0.0057) 0.87 (0.60–1.24) 0.4339
Had no bleeding gingiva during past 12 months (“No gingival bleeding” is the event modeled) 86,925 60,246,824 98.1 (97.9–98.3) 1484 316,106 98.5 (97.6–99.4) 0.5189 (0.0024) 1.50 (0.78–2.89) 0.2270
Had no dental caries during past 12 months (“No caries” is the event modeled) 79,084 53,779,462 87.2 (86.8–87.7) 1,330 277,396 86.2 (83.7–88.7) 0.4116 (0.027) 1.03 (0.83–1.27) 0.8148
Had 1 preventive dental visit during past 12 months (“Had preventive” is the event modeled) 73,369 50,361,685 81.8 (81.3–82.4) 1,261 217,779 84.4 (81.9–87.0) 0.0681 (0.0061) 1.35 (1.10–1.66) 0.0045
Had a dental examination during past 12 months (“Had examination” Is the event modeled) 68,947 46,370,818 75.7 (75.1–76.3) 1,168 250,475 78.2 (75.3, 81.1) 0.1136 (0.0053) 1.30 (1.08–1.56) 0.0047
Had a dental prophylaxis during past 12 months (“Had prophylaxis” is the event modeled) 67,404 46,377,082 75.7 (75.1, 76.3) 1,176 258,994 80.8 (78.1 83.6) 0.0010 (0.0110) 1.53 (1.26–1.84) <.0001
Had oral hygiene instructions during past 12 months (“Had Instructions” is the event modeled) 42,558 27,254,609 44.5 (43.9–45.2 687 149,425 46.6 (43.2, 50.0) 0.2300 (0.0040) 1.20 (1.04–1.49) 0.0152
Had radiographs during past 12 months (“Had radiographs” is the event modeled) 44,720 30,447,568 49.7 (49.1–50.4) 727 161,656 50.4 (47.0, 53.8) 0.6815 (0.0014) 1.11 (0.96–1.29) 0.1761
Received professional fluoride treatment during past 12 months (“Had fluoride” is the event modeled) 45,681 29,200,803 47.7 (47.0–48.3) 784 172,154 53.7 (50.3, 57.1) 0.0007 (0.0113) 1.34 (1.15–1.55) 0.0001
Received a dental sealant during the past 12 months (“Had sealant” is the event modeled) 14,033 9,801,796 16.0 (15.5–16.5) 256 63,020 19.7 (16.9, 22.4) 0.0058 (0.0092) 1.29 (1.07–1.54) 0.0071
Received both preventive dental and medical care during the past 12 months (“Had both dental and medical care” is the event modeled) 61,095 40,329,197 66.1 (65.5–66.8) 1108 227,684 72.2 (69.0, 75.4) 0.0005 (0.0116) 1.49 (1.26–1.77) <.0001

Note: Adjusted logistic regression controlled for sex, race, rural/urban status, age, family structure, poverty level, language spoken at home, and insurance status.

For this current study, dental data for children (ages 1–17 years) from the national and WV metro and non-metro/rural designations were used.

The U.S. Census Bureau defines rural as the population, housing, and territory not included in an urban area.9 The NSCH uses the variable METRO_YN (yes, no) for this designation; this variable was used in this study. The eligible inclusion criteria were complete data on sex, age, federal information processing standards (identifying states and associated areas), and a response to having had a dental visit within the previous year (Fig. 1). Race, family structure, poverty level, language spoken at home, and insurance status were included in the logistic regression. A priori, p <.05 was determined as the significance level. National data were extracted using SAS® version 9.4. Data weights and strata provided in the data set were used in the analyses. Rao-Scott Chi-Square test and Phi coefficient calculation were conducted on the above-mentioned OH outcomes. Adjusted logistic regression analyses were conducted for each question concerning OH controlling for sex, age, family structure, poverty level, language spoken at home, and insurance status.

Fig 1.

Fig 1

Flow chart of inclusion/exclusion criteria for OH

Ethics Approval

This study was reviewed by the West Virginia University Institutional Review Board and was determined to be a non-human research study (Certificate 1148).

RESULTS

Comparison of WV and Nationwide (Excluding WV)

Nationally, the mean age for this sample was 9.7 years (standard error of mean = 0.03; n = 88,919) and for WV children, it was 9.9 years (standard error of mean = 0.15; n = 1,511).

WV children had either similar or more positive OH than national children (excluding WV) (Table 1). WV children were more likely than national children (excluding WV) to see a dentist (87.1% [95%CI:84.8%–89.5%] and 83.8% [95%CI:83.3–84.4], respectively), have a dental prophylaxis (80.8% [95CI:78.1–83.6] and 75.7% [95%CI:75.1–76.3], respectively), have a professional fluoride treatment (53.7% [95%CI:50.3%, 57.1%] and 47.7% [95%CI:47.0–48.3%], respectively), have a dental sealant (19.7% [95%CI:16.9–22.4], respectively), and to have both preventive dental and medical care within the previous 12 months (72.2% [95%CI: 69.0–75.4] and 66.1 [95%CI: 65.5–66.8], respectively).

For both WV and the nation, approximately three-fourths of children were reported to have teeth that were in good/very good/excellent condition (94.8% [95%CI:93.0–96.6] and 94.1% [95%CI: 93.7–94.4], respectively), and to have had a dental examination within the past 12 months (78.2% [95%CI:75.3–81.1], and 71.7%[95%CI: 75.1–76.3], respectively). Most had no OH problems (84.2% [95%CI:81.6–86.8] and 85.4% [95%CI:84.9–85.9], respectively). There were 84.4% [95%CI: 81.9–87.0] who had at least one preventive dental visit in WV and 81.8% [95%CI:81.3–82.4] in the nation.

Adjusted odds ratios comparing WV children to national children on OH, controlled for sex, race, metropolitan status, age, family structure, poverty level, language spoken at home, and insurance status are also provided in Table 1.

Comparison of Non-Metro/Rural WV and Non-Metro/Rural U.S. (Excluding WV)

Nationwide, 12.4% of respondents were non-metro/rural (n = 14,480), whereas 36.5% of WV respondents were non-metro/rural (n = 490). WV non-metro/rural children had either similar or more positive OH outcomes than national non-metro/rural children (excluding WV) (Table 2). WV non-metro/rural children were more likely than national non-metro/rural children to see a dentist (85.6% [95%CI: 81.2–90] and 79.8% [95%CI: 78.5–81.1], respectively), have ≥1 preventive dental visit(s) (85.2 [95%CI: 80.6–89.7] and 78.0% [95%CI:76.7–79.4], respectively), dental prophylaxis (80.9% [95%CI:76.1–85.7] and 71.7 [95%CI:70.3–73.1], respectively), oral hygiene instructions (47.9 [95%CI:42.1–53.7] and 40.9% [95%CI: 39.4–42.5], respectively), professional fluoride (54.8% [95%CI:49.0–60.6] and 47.2 [95%CI:45.7–49.8], respectively), dental sealant(s) (23.2% [95%CI:18.3–28.0] and 16.6% [95%CI: 15.4–17.7], respectively), and to have both preventive dental and medical care within the previous 12 months (72.8% [95%CI:67.3–78.3] and 60.6% [95%CI: 59.0–62.2], respectively).

Table 2.

Comparison of Non-metro/rural National and Non-metro/rural WV dental services received by children ages 1–17 years, National Survey of Children’s Health, 2022–2023, n = 15,967

Number Nationwide (excluding WV) non-metro/rural Generalized Nationwide Population estimate of Non-metro/rural children represented Nationwide % (Confidence Interval) Number WV Non-metro/rural Generalized WV population estimate of non-metro/rural children represented WV % (Confidence Interval) Rao-Scott Chi Square p-value (Phi) Adjusted Odds Ratio comparing WV to the nation (95% Confidence Interval) p-value
The number of children whose parents reported excellent/very good condition of teeth (“Excellent/very good/good” is the event modeled) 14,480 7,012,121 92.1 (91.1–93.1) 490 105,821 91.2 (87.1, 95.3) 0.6513 (0.0036) 0.97 (0.56–1.66) 0.9023
Did not see a dentist and/or other oral healthcare provider during past 12 months (“Yes, visit” is the event modeled) 2,847 1,536,211 20.2 (18.9–21.5) 72 16,785 14.4 (10.0, 18.8) 0.0281 (0.0174) 1.56 (1.06–2.27) 0.0228
Had no oral health problems during past 12 months (“No problems” is the event modeled) 13,055 6,293,470 82.5 (81.2–83.7) 438 93,343 79.3 (74.3–84.3) 0.2056 (0.0100) 0.90 (0.66–1.25) 0.5411
Had no toothaches during past 12 months (“No toothache” is the event modeled) 14,718 7,180,783 94.4 (93.5–95.3) 498 110,112 93.9 (90.6–97.2) 0.0927 (0.0027) 1.08 (0.58–2.00) 0.8169
Had no bleeding gingiva during past 12 months (“No bleeding gingiva” is the event modeled) 15,052 7,419,798 97.6 (97.2–98.1) 512 115,336 98.4 (97.1, 99.6) 0.3542 (0.0059) 1.75 (0.77–4.00) 0.1823
Had no dental caries during past 12 months (“No caries” is the event modeled) 13,312 6,440,781 84.5 (83.3–85.7) 443 94,848 80.7 (75.8–85.6) 0.1101 (0.0128) 0.85 (0.61–1.18) 0.3232
Had 1 preventive dental visit during past 12 months (“Had preventive” is event modeled) 12,261 5,924,343 78.0 (76.7–79.4) 445 99,770 85.2 (80.6–89.7) 0.0398 (0.0211) 1.71 (1.17–2.50) 0.0057
Had a dental examination during past 12 months 11,384 5,378,425 71.2 (69.8–72.7) 401 89,572 76.5 (71.4, 81.7) 0.0669 (0.0144) 1.39 (1.02–1.90) 0.0364
Had a dental prophylaxis during past 12 months (“Had prophylaxis” is the event modeled) 11,136 5,413,385 71.7 (70.3–73.1) 415 94,641 80.9 (76.1, 85.7) 0.0015 (0.0250) 1.77 (1.27–2.47) 0.0008
Had oral hygiene instructions during past 12 months (“Had instructions” is the event modeled) 6,805 3, 091,019 40.9 (39.4–42.5) 239 56,035 47.9 (42.1, 53.7) 0.0219 (0.0173) 1.38 (1.08–1.78) 0.0104
Had radiographs during past 12 months (“Had radiographs” is the event modeled) 7,220 3,502,085 46.4 (44.8–47.9) 249 60,538 51.7 (46.0, 57.5) 0.0784 (0.0132) 1.28 (1.00–1.65) 0.0516
Received professional fluoride treatment during past 12 months (“Had fluoride” is the event modeled) 7.645 3,566,340 47.2 (45.7–48.8) 274 64,130 54.8 (49.0, 60.6) 0.0136 (0.0186) 1.40 (1.09–1.80) 0.0087
Received a dental sealant during the past 12 months (“Had sealant” is the event modeled) 2,559 1,250,985 16.6 (15.4–17.7) 108 27,126 23.2 (18.3, 28.0) 0.0037 (0.0217) 1.53 (1.14–2.06) 0.0048
Received both preventive dental and medical care during the past 12 months (“Had both dental and medical care” is the event modeled) 9,778 4,567,251 60.6 (59.0–62.2) 388 83,300 72.8 (67.3, 78.3) 0.0001 (0.0303) 1.83 (1.36–2.46) <.0001

NOTE: Adjusted logistic regression controlled for sex, race, rural/urban status, age, family structure, poverty level, language spoken at home, and insurance status.

For both non-metro/rural WV children and the non-metro/rural national children, approximately three-fourths of children were reported to have teeth that were in good/very good/excellent condition (91.2% [95%CI: 87.1–95.3] and 92.1% [95%CI: 91.1–93.1], respectively). There were 76.5% [95%CI:71.4–81.7] of WV non-metro/rural children and 71.2% [95%CI:69.8–72.7] of national non-metro/rural children who had a dental examination within the past 12 months. Most had no OH problems (79.3%[95%CI:74.3–84.3] for WV and 82.5% [95%CI:81.2–83.7] for the nation.

Adjusted odds ratios comparing non-metro/rural WV children to non-metro/rural national children on OH outcomes, controlled for sex, race, metropolitan status, age, family structure, poverty level, language spoken at home, and insurance status are also provided in Table 2.

DISCUSSION

The results of overall and sub-group (non-metro/rural) comparisons of WV and national children on OH outcomes were that WV children had similar or slightly better OH outcomes than children nationwide. For example, WV children were more likely to see a dentist, have a dental prophylaxis, receive a professional application of fluoride, have dental sealants, and receive both preventive dental and medical visits within the past year than the national children in both overall and non-metro/rural analyses.

There are limited studies with which to compare these results. In a review including OH measures and outcomes in WV, there was a finding of greater use of sealants in WV than nationwide.10 That result supports the findings in this study. However, the cited report differs from this current study in that it was limited to WV children in third grade. This study used data of children ages 1–17 years; additionally, the report involved ever having a sealant.10 The findings of this current study were of having a sealant within the previous year. In the report 62.2% of WV third grade students had dental sealants on permanent molars compared to 41.5% nationally.10 Within the same report, 19% of third grade students had untreated dental caries. In this current study, past 12-month dental caries in WV was 13.8%. Other recent comparator studies are limited, emerging, or were unavailable.

IMPLICATIONS

Misconceptions about OH in WV and in rural areas in the greater U.S. persist, despite progress. Educational opportunities, internet and cell phone connectivity, social media, and travel are ongoing improvements in addressing much of the isolation and lack of access previously experienced.10 Utilization of teledentistry has been reported to improve access, treatment, and OH in general.11 Efforts exist to increase teledentistry and technologies in preventive (at-home) dental care in WV.10, 12 It is hoped that with greater access to knowledge, improved delivery of care, newer materials, and technology, and greater access with programs providing travel services for care, all children will have better outcomes. However, negative perceptions about OH in WV need to be considered as well so that stigmatizing narratives about WV and the Appalachian culture can be reshaped. Many initiatives and robust investments, such as those with the Appalachian Regional Commission, are doing so. The data in this study support their impact.

Strengths and Limitations

This study is strengthened by the availability of a nationally conducted survey with two years of data concerning OH. Data weights and strata provided in the data set were used in the analyses, making the results representative of the nation and WV. The study is limited by potential responders’ recall bias and social desirability bias. Though not a limitation, the study design does preclude establishing a causal effect to the results.

CONCLUSION

There remains a need across the U.S. to continue to improve OH, particularly in improving the number of children who have preventive dental care.

SUMMARY BOX.

What is already known about this topic?

Misconceptions about oral health in WV (and non-metro/rural WV in particular) persist, despite progress. Generally, the data available are based upon adult outcomes.

What is added by this report?

This report demonstrates WV child oral health outcomes are similar to or better than national levels.

What are the implications for future research?

Although WV oral health outcomes for children are similar to the nation, there remains a need to reach the nearly 13% of WV children and 16% of U.S. children who have not seen a dentist or other oral healthcare provider within the past 12 months.

Acknowledgments

Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number 5U54GM104942-08.

Funding Statement

Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number 5U54GM104942-08.

Footnotes

This Brief Report is brought to you for free and open access by the College of Public Health at East Tennessee State University in partnership with our publisher, the University of Kentucky.

Cover Page Footnote: No competing financial or editorial interests were reported by the authors of this paper.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

REFERENCES

  • 1. Vargas CM, Ronzio CR, Hayes KL. Oral health status of children and adolescents by rural residence, United States. J Rural Health. 2003;19(3):260–268. doi: 10.14219/jada.archive.2002.0120Get. rights and content. [DOI] [PubMed] [Google Scholar]
  • 2. Ahn S, Burdine JN, Smith ML, Ory MG, Phillips CD. Residential rurality and oral health disparities: influences of contextual and individual factors. J Prim Prev. 2011;32:29–41. doi: 10.1007/s10935-011-0233-0. [DOI] [PubMed] [Google Scholar]
  • 3. WVHHR. West Virginia Department of Health and Human Resources. Burden of Oral Disease in West Virginia. Oral Health Program. 2022 Burden Document 03, 28-2022_Final. [Google Scholar]
  • 4.CDC. Centers for Disease Control and Prevention, National Center for Health Statistics. Health, United States: Dentists. Dentists - Health, United States. 2024. [Google Scholar]
  • 5. Zhu JM, Polsky D, Johnstone C, McConnell KJ. Variation in network adequacy standards in Medicaid managed care. Am J Manag Care. 2022;28(6):288. doi: 10.37765/ajmc.2022.89156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Kennedy-Rea S, Mason J, Hereford C, Whanger Engaging Community Perceptions of Research in Rural West Virginia. Collaborations: A Journal of Community-Based Research and Practice. 2021;4(7):1–10. doi: 10.33596/coll.80. [DOI] [Google Scholar]
  • 7. DRCCAH Data Resource Center for Child and Adolescent Health. NSCH Survey Methodology. Nd. NSCH Survey Methodology - Data Resource Center for Child and Adolescent Health. [Google Scholar]
  • 8.CAHMI. Child and Adolescent Health Measurement Initiative. 2022–2023 National Survey of Children’s Health (NSCH) data query. Data Resource Center for Child and Adolescent Health supported by the US Department of Health and Human Services, Health Resources and Services Administration (HRSA), Maternal and Child Health Bureau (MCHB); 2025. [ www.childhealthdata.org]. [Google Scholar]
  • 9.US Census Bureau. Urban and Rural. Urban and Rural; 2024. [Google Scholar]
  • 10. WVOHC. West Virginia Oral Health Coalition and Harmony Health Foundation Partner to Tackle WV Oral Health Disparities Through Innovative Technology Project. West Virginia Rural Health Association. West Virginia Oral Health Coalition and Harmony Health Foundation Partner to Tackle WV Oral Health Disparities Through Innovative Technology Project - WVRHA. 2024 March 28; [Google Scholar]
  • 11. Al-Buhaisi D, Karami S, Gomaa N. The role of teledentistry in improving oral health outcomes and access to dental care: An umbrella review. J Oral Rehabil. 2024;51:2375–2389. doi: 10.1111/joor.13836. [DOI] [PubMed] [Google Scholar]
  • 12.WVUToday. WVU Today. West Virginia University; 2020. Jul 29, WVU Dental Care offers teledentistry for virtual patient visits. WVU Dental Care offers teledentistry for virtual patient visits. [Google Scholar]

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