The US dental insurance market is experiencing robust growth, driven by factors such as an aging population with increasing dental needs, rising awareness of oral health, and expanding coverage under the Affordable Care Act (ACA). The market's compound annual growth rate (CAGR) exceeding 6.00% indicates a significant expansion over the forecast period (2025-2033). Key market segments include dental health maintenance organizations (DHMOs), preferred provider organizations (PPOs), and indemnity plans, each catering to different consumer needs and preferences. The market is further segmented by procedure type (preventive, major, basic) and demographics (senior citizens, adults, minors), highlighting the diverse range of services and customer bases. Major players like Aetna, Delta Dental, and UnitedHealthcare dominate the landscape, while regional variations exist due to differing healthcare systems and regulations. The increasing adoption of technologically advanced dental procedures and a growing emphasis on preventive care contribute to market expansion. However, challenges such as rising healthcare costs, limited access to dental insurance in certain demographics, and the complexity of insurance plans may impede growth to some extent. While precise market sizing data is unavailable, considering the provided CAGR of >6.00% and a base year of 2025, and using industry reports estimating the US dental insurance market in the tens of billions of dollars in recent years, we can reasonably expect continued significant growth. The market's segmentation allows for targeted strategies by insurance providers to address specific demographics and procedural needs. For instance, providers are likely to focus on expanding coverage for preventive care in younger demographics to cultivate long-term customer relationships. The competitive landscape suggests ongoing consolidation and innovation among major players, driven by the need to offer comprehensive, affordable, and technologically advanced dental care plans. The increasing prevalence of telehealth and digital platforms are anticipated to further revolutionize access to and delivery of dental services, indirectly impacting the market's structure and growth trajectory. Recent developments include: On February 9, 2022, UnitedHealthcare collaborated with Quip, a software company, and launched digital resources, which include enhanced virtual dental care benefits., On May 4, 2022, MetLife approved a new USD 3 billion authorization for the company to repurchase its common stock.. Notable trends are: Government Initiatives Boosting Dental Insurance Market in the United States.

OBJECTIVE: To assess facial morphology (Pattern) and sagittal relationship between dental arches (Class), and establish a potential association between them and the variables sex, age and ethnicity, among schoolchildren aged between 4 and 9 years old (mean age of 6.7 years) in primary and mixed dentitions.METHODS: The sample comprised 875 children (457 males and 418 females) attending schools in Descalvado, São Paulo, Brazil. An attempt was made with a view to establish a potential association between children's morphological features with sex, age and ethnicity.RESULTS: Descriptive analysis revealed a predominance of facial Pattern I (69.9 %) and Class I (67.4 %). Statistical tests (p < 0.001) showed that Class I was more frequent among Pattern I children, whereas Class II prevailed among Pattern II, and Class III was frequent among Pattern I and III children. Ethnicity was the only variable associated with facial pattern.CONCLUSIONS: Results suggest that facial pattern and sagittal relationship between dental arches tend to be correlated. Ethnicity was associated with facial pattern, with Pattern I being the most recurrent among Caucasians and facial Pattern II being recurrent among Afro-descendant subjects.

The purpose of this data collection was to provide a more accurate measure of the racial/ethnic enrollment in postsecondary institutions in the United States than was previously available. The National Center for Education Statistics (NCES) collects racial/ethnic enrollment data from higher education institutions on an annual basis. Some institutions do not report these data, and their "unknown" categories have previously been distributed in direct proportion to the "knowns." This resulted in lower than accurate figures for the racial/ethnic categories. With the advent of the Integrated Postsecondary Education Data System (IPEDS), NCES has attempted to eliminate this problem by distributing all "race/ethnicity unknown" students through a two-stage process. First, the differences between reported totals and racial/ethnic details were allocated on a gender and institutional basis by distributing the differences in direct proportion to reported distributions. The second-stage distribution was designed to eliminate the remaining instances of "race/ethnicity unknown." The procedure was to accumulate the reported racial/ethnic total enrollments by state, level, control, and gender, calculate the percentage distributions, and apply these percentages to the reported total enrollments of institutional respondents (in the same state, level, and control) that did not supply race/ethnicity detail. In addition, the original "race/ethnicity unknown" data were also left unaltered for those who wish to review the numbers actually distributed. The racial/ethnic status was broken down into nonresident alien, Black non-Hispanic, American Indian or Alaskan Native, Asian or Pacific Islander, Hispanic, and White non-Hispanic. There are six data files. Part 1, Institutional Characteristics, includes variables on control and level of institution, religious affiliation, highest level of offering, Carnegie classification, and state FIPS code and abbreviation. Variables in Part 2 cover total original enrollment by race/ethnicity and sex and by level and year of study of student. Race/ethnicity data were not imputed for institutions that only reported total enrollment. The "race ethnicity unknown" category was not distributed among the race/ethnicity categories. In Part 3, enrollment data are presented by race/ethnicity and sex of student, and by level and year of study for the following selected major field of studies: architecture, education, engineering, law, biological/life sciences, mathematics, physical sciences, dentistry, medicine, veterinary medicine, and business management and administrative services. This file contains data for four-year institutions only. Part 4 provides summary enrollment data by adjusted race/ethnicity and sex of student and by level and year of study of student. The "race/ethnicity unknown" category data were distributed across all known race categories in this file. Also, race data were imputed for institutions that did not report enrollment by race. Part 5, Residence and Migration, contains enrollment data for first-time freshmen, by state of residence. Part 6, Clarifying Questions on Enrollments, provides information on students enrolled in remedial courses, extension divisions, and branches of schools, and numbers of transfer students from in-state, out of state, and other countries. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02447.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

ObjectiveCultural changes faced by immigrants and ethnic minorities after moving to a host country may have a detrimental or beneficial influence on their oral health and oral health-related behaviors. Therefore, this paper reviews the literature to see the impact of acculturation on immigrants and ethnic minorities’ oral health outcomes.MethodsWe searched seven electronic databases up to January 2018. All cross-sectional and longitudinal quantitative studies that examined associations between acculturation and oral health status and/or oral health behaviors among ethnic minority and immigrant population[s] were included. Study selection, data extraction, and risk of bias assessment were completed in duplicate. The Newcastle-Ottawa checklist was used to appraise the methodological quality of the quantitative studies. A meta-analytic approach was not feasible.ResultsA total of 42 quantitative studies were identified. The studies showed a positive association between acculturation and oral health status/behaviors. The most frequently used acculturation indicators were language spoken by immigrant and ethnic minorities and length of stay at the host country. High-acculturated immigrant and ethnic minority groups demonstrated better oral health outcomes, oral health behaviors, dental care utilization, and dental knowledge.ConclusionsAccording to existing evidence, a positive effect of acculturation on oral health status and behaviors was found.Practical implicationsDental practitioners should be culturally competent to provide the appropriate services and treatments to immigrant and ethnic minorities. Policymakers should also be sensitive to cultural diversities and properly address the unique needs of each group in order to maintain oral health equity.

The India Dental Insurance Market report segments the industry into By Coverage (Dental Health Maintenance Organizations (DHMO), Dental Preferred Provider Organization (DEPO), Dental Indemnity Plan (DIP), Dental Point of Service (DPS)), By Procedure (Preventive, Major, Basic), By End User (Individual, Corporates), and By Demographics (Senior Citizen, Minors, Other Demographics).