J Korean Acad Pediatr Dent > Volume 52(4); 2025 > Article
Kim, Kim, and Choi: Awareness and Educational Needs Regarding Molar-Incisor Hypomineralization at Chonnam University School of Dentistry

Abstract

The purpose of this study was to investigate dental students’ and residents’ awareness, clinical experience, diagnostic confidence, and educational needs regarding Molar-Incisor Hypomineralization (MIH), to inform effective diagnostic training strategies. A descriptive cross-sectional study was conducted among third-year (n = 65), fourth-year (n = 80) dental students, and residents (n = 74; pediatric dentistry, conservative dentistry, and the other specialties) at Chonnam National University from September to October 2024. A structured self-report questionnaire was used for data collection. Data were analyzed using chi-square, Fisher’s exact test, t-tests, ANOVA, and logistic regression (p < 0.05). Overall, familiarity with MIH was 69.0% among students and 98.6% among residents. Knowledge of clinical features (students 44.1%, residents 75.7%) and diagnostic criteria (students 3.4%, residents 17.6%) was limited. Only 17.2% of students and 43.2% of residents had observed MIH clinically. Most respondents reported difficulty distinguishing MIH from other conditions (students 89.0%, residents 82.4%). Confidence in diagnosing MIH was low among respondents (students 1.71 ± 0.71, residents 2.28 ± 0.85). Most students (87.6%) and residents (93.2%) indicated a need for additional MIH-related education. Clinical observation and knowledge of diagnostic criteria were significantly associated with diagnostic confidence (p < 0.0001). Dental students and residents showed relatively high awareness of MIH but limited knowledge of diagnostic criteria and low self-reported diagnostic confidence. These findings highlight the need for practice-oriented educational programs to strengthen MIH diagnostic competence, suggesting targeted curricular improvements within dental education.

Introduction

The term “Molar-Incisor Hypomineralization” (MIH) was first proposed by Weerheijm et al. in 2001 to describe well-demarcated enamel hypomineralization defects affecting at least one first permanent molar, often accompanied by the involvement of permanent incisors[1]. The European Academy of Pediatric Dentistry subsequently recognized MIH as a clinically significant condition in pediatric dentistry and suggested that clinicians should consider a range of associated indicators, such as post-eruptive enamel breakdown, hypersensitivity, atypical restorations, and elevated caries risk, when making a diagnosis[2].
If not identified early, MIH may lead to substantial structural damage, repeated restorative failures, and increased long-term treatment needs, underscoring the importance of an early and accurate diagnosis in pediatric dental practice[3]. Owing to structural defects in the enamel, breakdown of the enamel and secondary caries commonly occur soon after an eruption. This can cause pain and dental fear, significantly impairing a child’s oral health-related quality of life[4,5]. A recent systematic review and meta-analysis has identified dental caries (51.2%), tooth hypersensitivity (41.7%), and post-eruptive enamel breakdown (25.7%) as the most common clinical outcomes in MIH patients, highlighting the substantial clinical burden associated with MIH[6]. Globally, approximately 878 million people are estimated to be affected by MIH, with around 17 million new cases diagnosed annually[7]. The global average prevalence of MIH is reported to be approximately 15.5%[8], with regional prevalence rates in Korea reported as high as 13.8%[9-11]. Although the etiology of MIH remains unclear, it is presumed to involve complex factors such as genetic predisposition and systemic health conditions during prenatal and immediate postnatal periods, antibiotic usage, and environmental toxins[12,13].
Despite the clinical importance of early detection and accurate diagnosis, MIH remains a diagnostic challenge because of its diverse clinical manifestations and the difficulty in differentiating it from similar conditions[14]. While dental students and early-career clinicians may be relatively familiar with the concept of MIH, their ability to apply diagnostic criteria accurately and make appropriate clinical decisions appears limited[15-18]. Indeed, international studies have consistently reported that dental practitioners experience clinical uncertainty when diagnosing MIH, attributing this to the absence of clear diagnostic guidelines and limited cumulative clinical experience[19-21].
In Korea, discussions on the diagnostic challenges and educational gaps related to MIH remain insufficient, and research on diagnostic competence and related educational systems in dental schools remains limited. These educational shortcomings may delay early diagnosis and optimal intervention, leading not only to repeated treatment burdens, but also to psychological distress in pediatric patients[22].
Therefore, the present study aimed to investigate the levels of awareness and understanding of diagnostic criteria, self-reported diagnostic capacity, and educational needs regarding MIH among dental students and residents of Chonnam National University School of Dentistry. These findings are intended to inform the current status of MIH diagnostic education and contribute to the development of an integrated educational framework involving interdisciplinary collaboration.

Materials and Methods

1. Study Design

This study was designed as a descriptive cross-sectional survey conducted between September and October 2024 at Chonnam National University School of Dentistry. The data were collected using structured questionnaires. Ethical approval for the study was obtained from the Institutional Review Board of Chonnam National University Dental Hospital (Approval No. CNUDH-2025-002) to ensure the ethical validity of the study. All participants received explanations of the study’s objectives and provided informed consent, with participation remaining entirely voluntary. All invited participants received an identical coffee coupon regardless of participation, minimizing perceived pressure or disadvantage. The survey was conducted anonymously, collecting only participants’ academic year for students and specialty and training year for residents, with no other personal information collected.

2. Participants and Sample Size Calculation

The study population included third- and fourth-year dental students at Chonnam National University School of Dentistry, and residents and interns affiliated with Chonnam National University Dental Hospital. The required sample size was calculated using the G*Power 3.1 software (Heinrich Heine University Düsseldorf, Düsseldorf, Germany), with an effect size of 0.5, an alpha level of 0.05, and a statistical power (1-β) of 0.85, resulting in a minimum required sample of 70 participants each for the student and resident groups. Actual data were collected from 145 students and 74 residents, totaling 219 participants. For data analysis, survey responses were initially compared between third- and fourth-year dental students, followed by comparisons among residents based on training year and specialty (pediatric/restorative dentistry residents vs. residents from the other dental specialties). Additionally, responses from all students and all residents were compared.

3. Survey Instrument and Structure

The questionnaire was developed based on a previous study by Gambetta-Tessini et al.[23], and was designed to comprehensively assess knowledge, perceptions, clinical experience, and educational needs regarding MIH. A pilot test involving ten third-year dental students was conducted to assess content validity, comprehension, and answer distribution. Based on their feedback, minor revisions were made to improve clarity and consistency, and a final version was established. The final questionnaire consisted of 28 items across five domains: awareness of MIH, knowledge of prevalence and etiology, clinical observation and diagnostic confidence, clinical perception, and recognition of clinical importance and educational needs (Table 13). Additionally, one image-based identification question to select the MIH lesion was included (Fig. 1). The ten students who participated in this pilot test were not included in the final study sample.
The visual diagnostic question included clinical images of MIH and conditions requiring differential diagnosis (enamel hypoplasia and white spot lesion), presented as a four-option multiple-choice question. These specific conditions were selected because they are frequently confused with MIH in clinical practice due to their overlapping morphological features[24], as well as their relatively higher clinical prevalence compared to rare conditions such as amelogenesis imperfecta. High-resolution clinical images focusing on MIH lesions were selected by consensus of two pediatric dentistry specialists. For standardization of image, all photographs were captured under identical conditions of lighting, distance, and angle, and backgrounds were adjusted to exclude extraneous elements such as lips or tongue. To verify the objectivity of correct answers, two additional pediatric dentistry specialists independently evaluated this question, achieving complete agreement with a Cohen’s kappa coefficient of 1.00.

4. Statistical Analysis

All statistical analyses were performed using SPSS Statistics version 29.0 (IBM Corp., Armonk, NY, USA). Categorical variables were analyzed using the chi-squared test or Fisher’s exact test, while continuous variables were compared between groups using independent t-tests or one-way analysis of variance (ANOVA). Univariate logistic regression analyses were conducted to identify potential predictors. As none of the variables demonstrated statistical significance (p < 0.05), multivariate analysis was not performed. Statistical significance was set at α = 0.05, and effect sizes were assessed using Cohen’s h, Cohen’s d, Cramér’s V, and partial eta squared (η²), depending on the data type and statistical test used. Statistical comparisons were not performed for multiple response items, as these did not represent mutually exclusive categories.

Results

1. Students’ Awareness, Clinical Experience, and Educational Needs Regarding MIH

In this survey, students’ overall familiarity with MIH was relatively high at 69.0%, but only 3.4% of students reported knowing and being able to clinically apply the actual diagnostic criteria (Table 1). Most students were unaware of the precise national prevalence of MIH, though genetic factors were most frequently identified as etiological factors. Other selected etiological factors included maternal medication use, maternal medical conditions, and childhood medication use (Table 1). Only 17.2% of all students had clinical experience observing MIH patients (Table 2). The frequency of encountering MIH teeth in clinical practice was significantly higher among fourth-year students (36.3% annually) compared to third-year students (16.9%, p= 0.021), indicating increased clinical exposure with academic progression (Table 2). A total of 89% of students reported difficulty distinguishing MIH from other dental conditions, with third-year students (96.9%) significantly more likely to report difficulty than fourth-year students (82.5%, p= 0.006), implying greater confusion among junior students due to limited diagnostic experience (Table 2). Finally, most students perceived MIH as a clinically important issue and recognized the need for additional education, particularly preferring case-based practical sessions (Table 2, 3).

2. Comparison of Students’ and Residents’ Awareness, Clinical Experience, and Educational Needs Regarding MIH

Compared to students, residents demonstrated significantly higher familiarity with MIH, awareness of clinical features, and knowledge of diagnostic criteria (Table 4, each p < 0.0001). Residents also reported significantly higher clinical observation of MIH patients (p < 0.0001) and greater ability to identify MIH in practice (p= 0.010). Additionally, residents showed significantly higher diagnostic confidence (p < 0.0001) and greater accuracy in image-based MIH identification (p= 0.014).

3. Residents’ Awareness, Clinical Experience, and Educational Needs Regarding MIH

Residents exhibited high familiarity with MIH across all training years (Table 5). The proportion of residents who reported knowing and being able to clinically apply the diagnostic criteria increased significantly with advancing training year (Table 5, p= 0.006). Additionally, while residents showed an increasing trend in their reported ability to clinically identify MIH patients and fewer difficulties with differential diagnosis as their training year advanced, these trends were not statistically significant (Table 6). There were significant differences by training year in diagnostic confidence, which increased with advancing training year (p= 0.006), and in perceiving MIH as a clinical problem (p= 0.002, Table 6). Most residents indicated a need for expanded MIH education within dental school curricula, especially preferring case-based practical sessions (Table 7).
Residents specializing in pediatric dentistry and restorative dentistry demonstrated significantly higher awareness of clinical features (p= 0.03), diagnostic criteria (p < 0.0001), and associated caries patterns of MIH (p < 0.0001) compared to residents in the other specialties (Table 8). Frequency of clinical MIH observations (p < 0.0001) and reported ability to identify MIH patients (p < 0.0001) were also significantly higher. Additionally, pediatric and restorative dentistry residents reported significantly higher diagnostic confidence scores (p= 0.001) and awareness of the importance of early intervention (p= 0.001). Both groups showed similarly high agreement on the necessity of additional MIH education, with no significant difference.

4. Accuracy of Image-Based MIH Identification and Related Factors

In the image-based MIH identification question, students achieved an overall correct answer rate of 54.5% (Table 3), with incorrect answers primarily involving confusion with white spot lesions of early caries (31.7%) and enamel hypoplasia (19.3%). The resident group showed a higher accuracy rate of 71.6% (Table 7), although incorrect answer patterns were similar to those of students (white spot lesions 21.6%, enamel hypoplasia 10.8%). Considering that both groups most frequently confused MIH lesions with white spot lesions, distinguishing between MIH and early caries lesions is a common clinical challenge.
Logistic regression analysis revealed that academic year, resident training year, clinical awareness of MIH, clinical observation experience, and self-reported diagnostic confidence did not significantly predict accuracy in image-based MIH diagnosis (Table 9). Additionally, although a significant difference in self-reported diagnostic confidence scores was observed between correct and incorrect respondents on the image identification question (p= 0.029), the small effect size (Cohen’s d = 0.30) limits clinical significance (Table 10). These findings suggest that image-based MIH diagnostic ability is not solely determined by educational year, clinical experience level, or self-reported diagnostic confidence, highlighting the need for educational strategies incorporating more objective assessment methods.

5. Association Between MIH Diagnostic Confidence, Knowledge of Diagnostic Criteria, and Clinical Experience

In the combined analysis of students and residents, diagnostic confidence scores differed significantly according to knowledge of MIH diagnostic criteria, clinical observation experience, and frequency of lesion observation (Table 10). Respondents who knew the diagnostic criteria and those with clinical observation experience both demonstrated significantly higher diagnostic confidence, with similarly large effect sizes observed for both factors. These results suggest that both knowledge of diagnostic criteria and clinical exposure are critical factors influencing diagnostic confidence.

Discussion

In this study, dental students at Chonnam National University School of Dentistry demonstrated relatively high overall familiarity with MIH; however, only a small proportion reported knowing and being able to clinically apply the diagnostic criteria (Table 1). This finding suggests that rather than reflecting individual students’ lack of effort, the dental education curriculum might overly emphasize theoretical instruction, providing limited exposure to actual clinical cases. Additionally, despite fourth-year students having greater exposure to MIH cases compared to third-year students, both cohorts reported substantial difficulties distinguishing MIH from similar dental conditions (Table 2), suggesting that increased case observation alone does not automatically translate into improved diagnostic skills. Moreover, most students recognized the need for additional MIH-related education, which likely reflects their awareness of the limitations in their current training and low diagnostic confidence (Table 3).
Compared with European countries such as Germany, Switzerland, Austria, and Spain, students in this study reported relatively lower MIH awareness (69.0%) and less clinical observation of MIH (17.2%), highlighting notable gaps in practical training opportunities (Table 11). Nevertheless, students in these European countries[25-28] also identified limitations including lecture-centered MIH education and insufficient clinical practice, indicating that difficulties in distinguishing MIH from similar dental conditions represent a universal challenge in dental education internationally. Additionally, diagnostic confidence was generally low across most regions, except for Spain, implying potential differences in educational strategies and their impact on student self-assessment.
Recently, Humphreys et al.[29] investigated undergraduate MIH education in 16 dental schools in the United Kingdom. Their findings revealed that most dental schools provided fragmented MIH education primarily within pediatric dentistry departments, with inadequate interdisciplinary cooperation and integrated education involving orthodontics, conservative dentistry, and the other specialties. This fragmentation raised concerns about variability in students’ clinical competence and patient management capabilities.
In this study, significant differences emerged between students and residents regarding their awareness of MIH clinical features, knowledge of diagnostic criteria, and accuracy of image-based diagnosis (Table 4). Although these differences are expected due to varying levels of clinical experience, it is noteworthy that the gap between theoretical knowledge and clinical applicability persisted even among residents, suggesting that diagnostic competence issues identified among students remain unresolved during residency training.
Dental residents demonstrated high overall familiarity with MIH (98.6%), but only 17.6% reported knowing and being able to clinically apply the diagnostic criteria, indicating a substantial discrepancy between their theoretical knowledge and clinical performance (Table 5). More than half of the residents (56.8%) reported no clinical experience observing or diagnosing MIH patients (Table 6). Even residents who encountered MIH during undergraduate education might enter residency training with theoretical knowledge primarily oriented toward national licensing examinations, lacking direct clinical diagnostic experience. Additionally, residents from specialties other than pediatric and restorative dentistry may have limited opportunities to receive consistent and detailed clinical feedback on MIH, further increasing diagnostic uncertainty. Moreover, potential confusion between MIH and other enamel defects—such as dental fluorosis, amelogenesis imperfecta, and white spot lesions—often makes differential diagnosis challenging, a difficulty consistently reported by clinicians worldwide[30]. Taken together, these multifactorial issues may explain why residents’ high theoretical familiarity with MIH does not fully translate into clinical competence.
Furthermore, most residents (82.4%) reported difficulty distinguishing MIH from other enamel defects, and exhibited low diagnostic confidence (mean score 2.28 out of 5, Table 6), underscoring ongoing challenges in clinical application. In addition, perceptions regarding the importance of early intervention varied significantly by training year (Table 7), with higher importance assigned by third- and first-year residents. This irregular trend may reflect differences in clinical exposure, educational experiences, individual motivation, or residency program structures, although further research is needed for clarification.
In this study, residents in pediatric and restorative dentistry demonstrated significantly higher understanding of MIH clinical features, diagnostic criteria, and related caries patterns compared to those from the other specialties. The most notable difference was observed in the reported knowledge of diagnostic criteria (45.0% vs. 7.4%, p < 0.0001), likely reflecting differences in curriculum structure and clinical exposure between specialties (Table 8). First, pediatric and restorative residents have more frequent clinical encounters with MIH patients, enabling greater accumulation of case experience. Second, their residency programs provide structured diagnostic training through regular seminars and case presentations supervised by specialists, facilitating continuous clinical exposure to MIH cases. Similarly, Negrescu et al. emphasized structured clinical case analysis and regular, intensive diagnostic training as key factors for enhanced diagnostic accuracy among pediatric residents[31]. Lastly, pediatric and restorative residents tend to participate more frequently in external educational activities, such as conferences, seminars, and workshops, providing consistent exposure to the latest diagnostic criteria, restorative guidelines, and clinical approaches.
Although pediatric and restorative dentistry residents reported higher diagnostic confidence than residents from the other specialties, their overall self-assessed confidence remained relatively low (Table 8). Previous studies by Eva and Regehr[32] and Fraundorf et al.[33] suggest this might reflect metacognitive tendencies, as highly skilled clinicians tend to evaluate their own performance more critically and strictly. Thus, this metacognitive factor might partly explain the discrepancy between their theoretical knowledge and self-perceived diagnostic confidence.
These findings underscore the need for longitudinal and structural diagnostic training from undergraduate through residency levels to reduce diagnostic confusion and improve MIH diagnostic accuracy. In this study, image-based diagnostic accuracy was not significantly predicted by training year, clinical exposure, or self-reported confidence (Table 9), indicating that conventional educational milestones may not adequately capture diagnostic competence. However, diagnostic confidence was significantly associated with knowledge of diagnostic criteria and clinical observation experience (Table 10), demonstrating the potential value of targeted, experience-based instruction.
Diagnostic errors in MIH can negatively affect treatment planning and long-term prognosis management[ 34]; thus, consistent and structured education is crucial to build diagnostic confidence[35]. Particularly, mild MIH lesions may remain unnoticed by patients[36], reducing clinical training opportunities. Given the potential impact of MIH on orthodontic or restorative treatments beyond childhood[37], interdisciplinary education at the undergraduate level should be emphasized in similar dental educational settings.
Accordingly, a stepwise, integrated curriculum could be considered to enhance MIH diagnostic competence, while carefully accounting for institutional differences. Initially, theoretical education on clinical features, diagnostic criteria, and management strategies can be introduced or reinforced in the earlier academic years. Subsequently, practical training and case-based MIH exposure can be expanded through structured sessions or digital platforms, depending on available clinical resources. Small-group case discussions facilitated by faculty and peer feedback can further support students’ diagnostic skills and clinical reasoning. Interdisciplinary seminars involving pediatric dentistry, orthodontics, and restorative dentistry might promote integrated management approaches among dental students and residents, adapted according to each institution’s specific educational environment.
Moreover, incorporating selected digital educational tools could enhance MIH diagnostic training and evaluation. For example, standardized image-assessment systems and Artificial Intelligence (AI)-based training platforms might objectively assess lesion characteristics and improve diagnostic accuracy[38-40]. Virtual reality simulations and interactive digital modules could further support realistic clinical training and self-directed learning[41,42]. Peer assessment methods using standardized rubrics might also serve as complementary objective evaluation tools, fostering critical thinking and reflective learning[43]. Ultimately, collaboration among dental schools and relevant academic societies, led by the Korean Academy of Pediatric Dentistry, could facilitate the development of evidence-based MIH guidelines adapted to individual educational contexts.
This study has several limitations. First, as a single-institution study conducted among dental students and residents at Chonnam National University School of Dentistry, the findings may not be broadly generalizable to all dental education settings in Korea. Additionally, discrepancies in sample sizes between students and residents could affect the reliability and validity of statistical analyses, requiring cautious interpretation. Clinical exposure differences among residents from various specialties also need consideration, as these could influence diagnostic competence independently of educational interventions.
Second, the self-report survey method inherently involves subjective assessments, introducing possible respondent biases and limiting objective evaluations of actual clinical competence. Although the questionnaire used was based on internationally recognized items, self-assessments alone have inherent limitations in verifying actual clinical competence. Furthermore, employing only a single-image diagnostic assessment per item may not adequately represent the broad spectrum of MIH clinical presentations, thus limiting diagnostic accuracy and objectivity. Future studies should utilize multiple standardized clinical images and structured diagnostic assessments, such as image-based or AI-supported methods, to enhance reliability.
Lastly, to overcome these limitations and enhance the generalizability of findings, designing a multicenter collaborative study is recommended[44]. For practical implementation in Korea, establishing a research consortium and standardizing study protocols would minimize inter-institutional variability, providing more robust and generalizable findings.
To our knowledge, this study is the first to comprehensively investigate MIH awareness and educational needs among dental students and residents in Korea, including direct comparisons across training levels and specialties. These distinctive aspects may provide useful insights for further discussion and potential improvements in dental education.

Conclusion

This study investigated dental students’ and residents’ awareness, diagnostic experience, and educational needs regarding MIH at Chonnam National University School of Dentistry. The findings revealed generally low self-perceived understanding and diagnostic confidence, suggesting that theoretical knowledge alone may not sufficiently lead to confidence in clinical application. Given that diagnostic errors in MIH can significantly impact patient prognosis, practice-oriented educational strategies and objective evaluation systems are needed.

NOTES

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

CRediT authorship contribution statement

Kyunghi Kim: Conceptualization, Investigation, Methodology, Formal analysis, Writing - original draft. Seonmi Kim: Methodology, Supervision, Writing - review and editing. Namki Choi: Resources, Supervision, Writing - review and editing. Project administration.

Fig 1.
Visual identification question used to assess MIH diagnostic awareness. (A) MIH of the maxillary first molars, (B) MIH with anterior involvement, (C) Enamel hypoplasia, (D) Demarcated white spot lesions suggestive of early caries.
jkapd-52-4-464f1.jpg
Table 1.
Dental students’ awareness and knowledge regarding MIH
Question Response Total students 3rd-year students (n = 65) 4th-year students (n = 80) p value
Awareness & Knowledge
Are you familiar with MIH? Yes 100 (69.0%) 43 (66.2%) 57 (71.3%) 0.509
No 45 (31.0%) 22 (33.8%) 23 (28.8%)
How did you first learn about MIH? (Multiple responses allowed) Lectures 80 (55.2%) 33 (50.8%) 47 (58.8%)
Journals 1 (0.7%) 0 (0.0%) 1 (1.3%)
Books (including textbooks) 30 (20.7%) 8 (12.3%) 22 (27.5%)
Seminars 0 (0.0%) 0 (0.0%) 0 (0.0%)
Student clinical training 13 (9.0%) 11 (16.9%) 2 (2.5%)
Dental treatment 3 (2.1%) 1 (1.5%) 2 (2.5%)
Other healthcare providers/students 8 (5.5%) 6 (9.2%) 2 (2.5%)
Internet 7 (4.8%) 4 (6.2%) 3 (3.8%)
Don’t know 26 (17.9%) 13 (20.0%) 13 (16.3%)
Other (please specify) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Do you know the clinical features of MIH? Yes 64 (44.1%) 29 (44.6%) 35 (43.8%) 0.917
No 81 (55.9%) 36 (55.4%) 45 (56.3%)
Do you know the clinical criteria for diagnosing MIH? Yes, and I can apply them. 5 (3.4%) 1 (1.5%) 4 (5.0%) 0.274
I know them but don’t know how to apply. 44 (30.3%) 17 (26.2%) 27 (33.8%)
I don’t know. 96 (66.2%) 47 (72.3%) 49 (61.3%)
Do you think the caries pattern related to MIH is different from typical caries patterns? Yes 53 (36.6%) 22 (33.8%) 31 (38.8%) 0.633
No 11 (7.6%) 4 (6.2%) 7 (8.8%)
Don’t know 81 (55.9%) 39 (60.0%) 42 (52.5%)
Prevalence & Etiology
Do you know the prevalence of MIH in South Korea? Yes 4 (2.8%) 3 (4.6%) 1 (1.3%) 0.219
No 141 (97.2%) 62 (95.4%) 79 (98.7%)
What do you believe is the prevalence of MIH in Korea? < 5% 14 (9.7%) 6 (9.2%) 8 (10.0%) 0.736
5 - 10% 19 (13.1%) 7 (10.8%) 12 (15.0%)
10 - 20% 3 (2.1%) 2 (3.1%) 1 (1.3%)
> 20% 1 (0.7%) 0 (0.0%) 1 (1.3%)
Don’t know 108 (74.5%) 50 (76.9%) 58 (72.5%)
Do you think it would be worthwhile investigating the prevalence of MIH in South Korea? Yes 79 (54.5%) 39 (60.0%) 40 (50.0%) 0.257
No 6 (4.1%) 1 (1.5%) 5 (6.3%)
Not sure 60 (41.1%) 25 (38.5%) 35 (43.8%)
Are you aware of the developmental timing of MIH? Yes 22 (15.2%) 9 (13.8%) 13 (16.3%) 0.688
No 123 (84.8%) 56 (86.2%) 67 (83.8%)
What factor(s) do you think are involved in the etiology of MIH (Multiple responses allowed) Genetic factors 114 (78.6%) 52 (80.0%) 62 (77.5%)
Mother’s chronic/acute medical conditions during pregnancy 33 (22.8%) 8 (12.3%) 25 (31.3%)
Child’s chronic/acute medical conditions 20 (13.8%) 7 (10.8%) 13 (16.3%)
Antibiotics/medications taken by the mother during pregnancy 45 (31.0%) 15 (23.1%) 30 (37.5%)
Antibiotics/medications taken by the child 23 (15.9%) 7 (10.8%) 16 (20.0%)
Environmental contaminants 15 (10.3%) 5 (7.7%) 10 (12.5%)
Fluoride exposure 15 (10.3%) 4 (6.2%) 11 (13.8%)
Don’t know 16 (11.0%) 9 (13.8%) 7 (8.8%)
Other (please specify) 0 (0.0%) 0 (0.0%) 0 (0.0%)

p values from the chi-square test and Fisher’s exact test.

MIH: Molar-Incisor Hypomineralization.

Table 2.
Dental students’ clinical experience and perceptions regarding MIH
Question Response Total students 3rd-year students (n = 65) 4th-year students (n = 80) p value
Clinical Experience & Identification
Have you seen MIH patients in the clinic? Yes 25 (17.2%) 12 (18.5%) 13 (16.3%) 0.726
No 120 (82.8%) 53 (81.5%) 67 (83.8%)
How often do you notice these teeth in the clinic? (a) Weekly 1 (0.7%) 1 (1.5%) 0 (0.0%) 0.021*
Monthly 8 (5.5%) 6 (9.2%) 2 (2.5%)
Yearly 40 (27.6%) 11 (16.9%) 29 (36.3%)
Never 96 (66.2%) 47 (72.3%) 49 (61.3%)
Approximately what proportion of patients do you observe these teeth in? < 10% 36 (24.8%) 14 (21.5%) 22 (27.5%) 0.428
10 - 25% 6 (4.1%) 4 (6.2%) 2 (2.5%)
> 25% 0 (0.0%) 0 (0.0%) 0 (0.0%)
None 103 (71.0%) 47 (72.3%) 56 (70.0%)
Do you think you can identify MIH patients in clinical practice? Yes 18 (12.4%) 8 (12.3%) 10 (12.5%) 0.057
No 28 (19.3%) 7 (10.8%) 21 (26.3%)
Not sure 99 (68.3%) 50 (76.9%) 49 (61.3%)
Do you have difficulty distinguishing MIH from other dental conditions? (b) No difficulty 16 (11.0%) 2 (3.1%) 14 (17.5%) 0.006**
Some difficulty 129 (89.0%) 63 (96.9%) 66 (82.5%)
What conditions are difficult to distinguish from MIH? (Multiple responses allowed) Dental fluorosis 41 (28.3%) 15 (23.1%) 26 (32.5%)
Enamel hypoplasia 106 (73.1%) 43 (66.2%) 63 (78.8%)
Amelogenesis imperfecta 86 (59.3%) 33 (50.8%) 53 (66.3%)
Dentinogenesis imperfecta 32 (22.1%) 11 (16.9%) 21 (26.3%)
I can distinguish. 2 (1.4%) 0 (0.0%) 2 (2.5%)
I can’t distinguish. 7 (4.8%) 7 (10.8%) 0 (0.0%)
How confident are you in diagnosing MIH? (1 - 5 scale) Not confident at all 63 (43.4%) 33 (50.8%) 30 (37.5%)
Not very confident 61 (42.1%) 26 (40.0%) 35 (43.8%)
Neutral 21 (14.5%) 6 (9.2%) 15 (18.7%)
Somewhat confident 0 (0.0%) 0 (0.0%) 0 (0.0%)
Very confident 0 (0.0%) 0 (0.0%) 0 (0.0%)
Mean ± SD 1.71 ± 0.71 1.58 ± 0.66 1.81 ± 0.73 0.053
What feature is most frequently observed in MIH? (c) White demarcated opacities 28 (19.3%) 6 (9.2%) 22 (27.5%) 0.032*
Yellow/brown demarcated opacities 46 (31.7%) 21 (32.3%) 25 (31.3%)
Post-eruptive enamel breakdown 13 (9.0%) 8 (12.3%) 5 (6.3%)
Don’t know 58 (40.0%) 30 (46.2%) 28 (35.0%)
Have you observed MIH in permanent teeth other than first molars and incisors? Yes 11 (7.6%) 8 (12.3%) 3 (3.8%) 0.053
No 134 (92.4%) 57 (87.7%) 77 (96.3%)
Clinical Perception & Referral Attitudes
Do you think MIH is a clinical problem? Yes 112 (77.2%) 48 (73.8%) 65 (81.0%) 0.303
No 33 (22.8%) 17 (26.2%) 15 (19.0%)
Would you refer MIH patients to a pediatric dental specialist? Yes 124 (85.5%) 55 (84.6%) 69 (86.3%) 0.781
No 21 (14.5%) 10 (15.4%) 11 (13.8%)

p values from the chi-square test and independent t test.

* : p < .05;

** : p < .01.

(a) Cramér’s V = 0.149;

(b) Cramér’s V = 0.229;

(c) Cramér’s V = 0.110.

Interpretation of Cramér’s V: small ≥ 0.10; medium ≥ 0.30; large ≥ 0.50.

MIH: Molar-Incisor Hypomineralization.

Table 3.
Dental students’ educational needs and image identification regarding MIH
Question Response Total students 3rd-year students (n = 65) 4th-year students (n = 80) p value
Perceived Importance & Educational Needs
How much do you think MIH knowledge affects dental care and patient management? (1 - 5 scale) Not at all 4 (2.8%) 2 (3.1%) 31 (38.7%)
Slightly 6 (4.1%) 3 (4.6%) 25 (31.2%)
Moderately 38 (26.2%) 19 (29.2%) 19 (23.8%)
Quite a bit 46 (31.7%) 21 (32.3%) 3 (3.8%)
Very much 51 (35.2%) 20 (30.8%) 2 (2.5%)
Mean ± SD 3.92 ± 1.01 3.83 ± 1.02 4.00 ± 1.01 0.319
How important is early intervention for managing and treating MIH? (1 - 5 scale) Not at all important 4 (2.8%) 2 (3.1%) 1 (1.3%)
Slightly important 4 (2.8%) 3 (4.6%) 2 (2.5%)
Moderately important 34 (23.4%) 15 (23.1%) 19 (23.8%)
Quite important 49 (33.8%) 23 (35.4%) 26 (32.5%)
Very important 54 (37.2%) 22 (33.8%) 32 (40.0%)
Mean ± SD 4.00 ± 0.99 3.92 ± 1.02 4.06 ± 0.96 0.399
Do you think more MIH-related education should be included in dental school curricula? Yes 127 (87.6%) 56 (86.2%) 71 (88.8%) 0.637
No 18 (12.4%) 9 (13.8%) 9 (11.2%)
What content should be included in additional education? (Multiple responses allowed) Identification and diagnosis 127 (87.6%) 60 (92.3%) 67 (83.8%)
Etiology 36 (24.8%) 15 (23.1%) 21 (26.3%)
Treatment planning and management 93 (64.1%) 40 (61.5%) 53 (66.3%)
What educational methods do you prefer for additional MIH training? (Multiple responses allowed) In-depth theoretical lectures 68 (46.9%) 28 (43.2%) 39 (48.8%)
Case-based practical sessions 81 (55.9%) 30 (46.2%) 51 (63.8%)
Clinical observation 57 (39.3%) 28 (43.1%) 29 (36.3%)
Image Identification
Correct answer 79 (54.5%) 36 (55.4%) 43 (53.8%) 0.844
Enamel hypoplasia 28 (19.3%) 13 (20%) 15 (18.8%)
White spot lesions 46 (31.7%) 20 (30.8%) 26 (32.5%)

p values from the chi-square test and independent t-test.

MIH: Molar-Incisor Hypomineralization.

Table 4.
Comparison of knowledge, perception, and educational needs regarding Molar-Incisor Hypomineralization between students and residents
Questions Students (n = 145) Residents (n = 74) p value Effect size
% or mean ± SD (95% CI)
Familiarity with MIH 69.0 98.6 < 0.0001*** h = 0.944
Awareness of clinical features 44.1 75.7 < 0.0001*** h = 0.658
Knowledge of diagnostic criteria 3.4 17.6 < 0.0001*** h = 0.495
Awareness of MIH-related caries 36.6 63.5 < 0.0001*** h = 0.545
Awareness of prevalence in Korea 2.8 4.1 0.691 h = 0.072
Estimated prevalence in Korea (5 - 10%) 13.1 50.0 < 0.0001*** h = 0.830
Clinical observation of MIH 17.2 43.2 < 0.0001*** h = 0.579
Frequency of MIH observation in the clinic < 0.0001*** h = 1.188
Weekly 0.7 2.7
Monthly 5.5 14.9
Yearly 27.6 70.3
Never 66.2 12.2
Proportion of patients with MIH signs < 0.0001*** h = 0.555
< 10% 24.8 51.4
10 - 25% 4.1 6.8
> 25% 0.0 2.7
None 71.0 39.2
Ability to identify in practice 12.4 27.0 0.010** h = 0.373
Difficulty in differential diagnosis 89.0 82.4 0.165 h = 0.188
Confidence in diagnosing MIH (1 - 5 scale) 1.71 ± 0.71 (1.59 - 1.83) 2.28 ± 0.85 (2.08 - 2.48) < 0.0001*** d = 0.660
Perception of MIH as a clinical problem 77.2 85.1 0.196 h = 0.203
Importance of early intervention (1 - 5 scale) 4.00 ± 0.99 (3.84 - 4.16) 4.30 ± 0.72 (4.13 - 4.47) 0.022* d = 0.334
Need for more MIH education in the curriculum 87.6 93.2 0.197 d = 0.194
Image-based identification of MIH (accuracy) 54.5 71.6 0.014* h = 0.357

For clarity, the questions were paraphrased from the original questions.

p values from the chi-square test, Fisher’s exact test, and independent t-tests.

* : p < .05;

** : p < .01,

*** : p < .0001.

MIH: Molar-Incisor Hypomineralization; h: Cohen’s h (small ≥ 0.2, medium ≥ 0.5, large ≥ 0.8); d: Cohen’s d (small ≥ 0.2, medium ≥ 0.5, large ≥ 0.8).

Table 5.
Residents’ awareness and knowledge regarding MIH
Question Response Total residents Int (n = 21) R1 (n = 17) R2 (n = 17) R3 (n = 19) p value
Awareness & Knowledge
Are you familiar with MIH? Yes 73 (98.6%) 20 (95.2%) 17 (100.0%) 17 (100.0%) 19 (100.0%) 0.465
No 1 (1.4%) 1 (4.8%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
How did you first learn about MIH? (Multiple responses allowed) Lectures 63 (85.1%) 17 (81.0%) 16 (94.1%) 13 (76.5%) 17 (89.5%)
Journals 6 (8.1%) 1 (4.8%) 1 (5.9%) 3 (17.6%) 1 (5.3%)
Books (including textbooks) 30 (40.5%) 5 (23.8%) 6 (35.3%) 10 (58.8%) 9 (47.4%)
Seminars 3 (4.1%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 3 (15.8%)
Student clinical training 10 (13.5%) 3 (14.3%) 1 (5.9%) 1 (5.9%) 5 (26.3%)
Dental treatment 6 (8.1%) 0 (0.0%) 0 (0.0%) 3 (17.6%) 3 (15.8%)
Other healthcare providers/students 3 (4.1%) 1 (4.8%) 1 (0.0%) 0 (41.2%) 1 (5.3%)
Internet 2 (2.7%) 1 (4.8%) 0 (0.0%) 0 (0.0%) 1 (5.3%)
Don’t know 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Other (please specify) 2 (2.7%) 2 (9.5%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Do you know the clinical features of MIH? Yes 56 (75.7%) 13 (61.9%) 13 (76.5%) 14 (82.4%) 16 (84.2%) 0.398
No 18 (24.3%) 8 (38.1%) 4 (23.5%) 3 (17.6%) 3 (15.8%)
Do you know the clinical criteria for diagnosing MIH? (a) Yes, and I can apply them. 13 (17.6%) 0 (0.0%) 2 (11.8%) 4 (23.5%) 7 (36.8%) 0.006**
I know them but don’t know how to apply. 40 (54.1%) 12 (57.1%) 7 (41.2%) 11 (64.7%) 10 (52.6%)
I don’t know. 21 (28.4%) 9 (42.9%) 8 (47.1%) 2 (11.8%) 2 (10.5%)
Do you think the caries pattern related to MIH is different from typical caries patterns? Yes 47 (63.5%) 11 (52.4%) 9 (52.9%) 11 (64.7%) 16 (84.2%) 0.293
No 7 (9.5%) 2 (9.5%) 3 (17.6%) 2 (11.8%) 0 (0.0%)
Don’t know 20 (27.0%) 8 (38.1%) 5 (29.4%) 4 (23.5%) 3 (15.8%)
Prevalence & Etiology
Do you know the prevalence of MIH in South Korea? Yes 3 (4.1%) 1 (4.8%) 1 (5.9%) 1 (5.9%) 0 (0.0%) 0.772
No 71 (95.9%) 20 (95.2%) 16 (94.1%) 16 (94.1%) 0 (0.0%)
What do you believe is the prevalence of MIH in Korea? < 5% 9 (12.2%) 5 (23.8%) 1 (5.9%) 1 (5.9%) 2 (10.5%) 0.359
5 - 10% 37 (50.0%) 9 (42.9%) 7 (41.2%) 9 (52.9%) 12 (63.2%)
10 - 20% 7 (9.5%) 1 (4.8%) 1 (5.9%) 3 (17.6%) 2 (10.5%)
> 20% 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Don’t know 21 (28.4%) 6 (28.6%) 8 (47.1%) 4 (23.5%) 3 (15.8%)
Do you think it would be worthwhile investigating the prevalence of MIH in South Korea? Yes 60 (81.1%) 16 (76.2%) 14 (82.4%) 13 (76.5%) 17 (89.5%) 0.716
No 1 (1.4%) 1 (4.8%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Not sure 13 (17.6%) 4 (19.0%) 3 (17.6%) 4 (23.5%) 2 (10.5%)
Are you aware of the developmental timing of MIH? Yes 34 (45.9%) 8 (38.1%) 8 (47.1%) 9 (52.9%) 9 (47.4%) 0.830
No 40 (54.1%) 13 (61.9%) 9 (52.9%) 8 (47.1%) 10 (52.6%)
What factor(s) do you think are involved in the etiology of MIH (Multiple responses allowed) Genetic factors 59 (79.7%) 15 (71.4%) 15 (88.2%) 15 (88.2%) 14 (73.7%)
Mother’s chronic/acute medical conditions during pregnancy 25 (33.8%) 5 (23.8%) 9 (52.9%) 5 (29.4%) 6 (31.6%)
Child’s chronic/acute medical conditions 20 (27.0%) 7 (33.3%) 2 (11.8%) 5 (29.4%) 6 (31.6%)
Antibiotics/medications taken by the mother during pregnancy 22 (29.7%) 5 (23.8%) 7 (41.2%) 5 (29.4%) 5 (26.3%)
Antibiotics/medications taken by the child 11 (14.9%) 2 (9.5%) 3 (17.6%) 2 (11.8%) 4 (21.1%)
Environmental contaminants 15 (20.3%) 4 (19.0%) 3 (17.6%) 1 (5.9%) 7 (36.8%)
Fluoride exposure 8 (10.8%) 4 (19.0%) 2 (11.8%) 1 (5.9%) 1 (5.3%)
Don’t know 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Other (please specify) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)

p values from Fisher’s exact test.

** : p < .01;

(a) : Cramer’s V = 0.34.

Interpretation of Cramér’s V: small ≥ 0.10; medium ≥ 0.30; large ≥ 0.50.

Int: Intern; R1: First-year resident; R2: Second-year resident; R3: Third-year resident; MIH: Molar-Incisor Hypomineralization.

Table 6.
Residents’ clinical experience and perceptions regarding MIH
Question Response Total residents Int (n = 21) R1 (n = 17) R2 (n = 17) R3 (n = 19) p value
Clinical Experience & Identification
Have you seen MIH patients in the clinic? Yes 32 (43.2%) 7 (33.3%) 8 (47.1%) 8 (47.1%) 9 (47.4%) 0.750
No 42 (56.8%) 14 (66.7%) 9 (52.9%) 9 (52.9%) 10 (52.6%)
How often do you notice these teeth in the clinic? Weekly 2 (2.7%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 2 (10.5%) 0.417
Monthly 11 (14.9%) 1 (4.8%) 2 (11.8%) 5 (29.4%) 3 (15.8%)
Yearly 52 (70.3%) 16 (76.2%) 15 (88.2%) 9 (52.9%) 12 (63.2%)
Never 9 (12.2%) 4 (19.0%) 0 (0.0%) 3 (17.6%) 2 (10.5%)
Approximately what proportion of patients do you observe these teeth in? < 10% 38 (51.4%) 9 (42.9%) 6 (35.3%) 12 (70.6%) 11 (57.9%) 0.442
10 - 25% 5 (6.8%) 0 (0.0%) 3 (17.6%) 0 (0.0%) 2 (10.5%)
> 25% 2 (2.7%) 1 (4.8%) 0 (0.0%) 0 (0.0%) 1 (5.3%)
None 29 (39.2%) 11 (52.4%) 8 (47.1%) 5 (29.4%) 5 (26.3%)
Do you think you can identify MIH patients in clinical practice? Yes 20 (27.0%) 3 (14.3%) 4 (23.5%) 5 (29.4%) 8 (42.1%) 0.319
No 7 (9.5%) 3 (14.3%) 0 (0.0%) 2 (11.8%) 2 (10.5%)
Not sure 47 (63.5%) 15 (71.4%) 13 (76.5%) 10 (58.8%) 9 (47.4%)
Do you have difficulty distinguishing MIH from other dental conditions? No difficulty 13 (17.6%) 3 (14.3%) 1 (5.9%) 2 (11.8%) 7 (36.8%) 0.108
Some difficulty 61 (82.4%) 18 (85.7%) 16 (94.1%) 15 (88.2%) 12 (63.2%)
What conditions are difficult to distinguish from MIH? (Multiple responses allowed) Dental fluorosis 24 (32.4%) 12 (57.1%) 3 (17.6%) 7 (41.2%) 2 (10.5%)
Enamel hypoplasia 57 (77.0%) 18 (85.7%) 13 (76.5%) 13 (76.5%) 13 (68.4%)
Amelogenesis imperfecta 44 (59.5%) 12 (57.1%) 13 (76.5%) 9 (52.9%) 10 (52.6%)
Dentinogenesis imperfecta 16 (21.6%) 6 (28.6%) 3 (17.6%) 5 (29.4%) 2 (10.5%)
I can distinguish. 3 (4.1%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 3 (15.8%)
I can’t distinguish. 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
How confident are you in diagnosing MIH? (1 - 5 scale) (a) Not confident at all 12 (16.2%) 5 (23.8%) 4 (23.5%) 3 (17.6%) 0 (0.0%)
Not very confident 35 (47.3%) 9 (42.9%) 10 (58.8%) 9 (52.9%) 7 (36.8%)
Neutral 22 (29.7%) 6 (28.6%) 3 (17.6%) 4 (23.5%) 9 (47.4%)
Somewhat confident 4 (5.4%) 1 (4.8%) 0 (0.0%) 1 (5.9%) 2 (10.5%)
Very confident 1 (1.4%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 1 (5.3%)
Mean ± SD 2.28 ± 0.85 2.14 ± 0.85 1.94 ± 0.66 2.18 ± 0.81 2.84 ± 0.83 0.006**
What feature is most frequently observed in MIH? White demarcated opacities 14 (18.9%) 5 (23.8%) 2 (11.8%) 4 (23.5%) 3 (15.8%) 0.605
Yellow/brown demarcated opacities 31 (41.9%) 10 (47.6%) 5 (29.4%) 8 (47.1%) 8 (42.1%)
Post-eruptive enamel breakdown 18 (24.3%) 3 (14.3%) 6 (35.3%) 3 (17.6%) 6 (31.6%)
Don’t know 11 (14.9%) 3 (14.3%) 4 (23.5%) 2 (11.8%) 2 (10.5%)
Have you observed MIH in permanent teeth other than first molars and incisors? Yes 5 (6.8%) 0 (0.0%) 1 (5.9%) 1 (5.9%) 3 (15.8%) 0.313
No 69 (93.2%) 21 (100.0%) 16 (94.1%) 16 (94.1%) 16 (84.2%)
Clinical Perception & Referral Attitudes
Do you think MIH is a clinical problem? (b) Yes 63 (85.1%) 20 (95.2%) 14 (82.4%) 10 (58.8%) 19 (100.0%) 0.002**
No 11 (14.9%) 1 (4.8%) 3 (17.6%) 7 (41.2%) 0 (0.0%)
Would you refer MIH patients to a pediatric dental specialist? Yes 62 (83.8%) 18 (85.7%) 15 (88.2%) 14 (82.4%) 15 (73.7%) 1.000
No 12 (16.2%) 3 (14.3%) 2 (11.8%) 3 (17.6%) 4 (15.8%)

p values from Fisher’s exact test and one-way ANOVA.

** : p < .01;

(a) : η² (partial eta squared) = 0.16;

(b) : Cramer’s V = 0.41.

Interpretation of η²: small ≥ 0.01; medium ≥ 0.06; large ≥ 0.14. Interpretation of Cramér’s V: small ≥ 0.10; medium ≥ 0.30; large ≥ 0.50.

Int: Intern; R1: First-year resident; R2: Second-year resident; R3: Third-year resident; MIH: Molar-Incisor Hypomineralization.

Table 7.
Residents’ perceived importance, educational needs, and image identification regarding MIH
Question Response Total residents Int (n = 21) R1 (n = 17) R2 (n = 17) R3 (n = 19) p value
Perceived Importance & Educational Needs
How much do you think MIH knowledge affects dental care and patient management? (1 - 5 scale) Not at all 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Slightly 2 (2.7%) 0 (0.0%) 1 (5.9%) 0 (0.0%) 1 (5.3%)
Moderately 13 (17.6%) 4 (19.0%) 1 (5.9%) 6 (35.3%) 2 (10.5%)
Quite a bit 31 (41.9%) 11 (52.4%) 7 (41.2%) 7 (41.2%) 6 (31.6%)
Very much 28 (37.8%) 6 (28.6%) 8 (47.1%) 4 (23.5%) 10 (52.6%)
Mean ± SD 4.15 ± 0.81 4.10 ± 0.70 4.29 ± 0.85 3.88 ± 0.78 4.32 ± 0.89 0.350
How important is early intervention for managing and treating MIH? (1 - 5 scale) (a) Not at all important 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%) 0 (0.0%)
Slightly important 1 (1.4%) 0 (0.0%) 1 (5.9%) 0 (0.0%) 0 (0.0%)
Moderately important 8 (10.8%) 4 (19.0%) 0 (0.0%) 3 (17.6%) 1 (5.3%)
Quite important 33 (44.6%) 13 (61.9%) 4 (23.5%) 9 (52.9%) 7 (36.8%)
Very important 32 (43.2%) 4 (19.0%) 12 (70.6%) 5 (29.4%) 11 (57.9%)
Mean ± SD 4.30 ± 0.72 4.00 ± 0.63 4.59 ± 0.80 4.12 ± 0.70 4.53 ± 0.61 0.021*
Do you think more MIH-related education should be included in dental school curricula? Yes 69 (93.2%) 21 (100.0%) 15 (88.2%) 14 (82.4%) 19 (100.0%) 0.313
No 5 (6.8%) 0 (0.0%) 2 (11.8%) 3 (17.6%) 0 (0.0%)
What content should be included in additional education? (Multiple responses allowed) Identification and diagnosis 65 (87.8%) 20 (95.2%) 15 (88.2%) 14 (82.4%) 16 (84.2%)
Etiology 19 (25.7%) 7 (33.3%) 6 (35.3%) 1 (5.9%) 5 (26.3%)
Treatment planning and management 51 (68.9%) 13 (61.9%) 13 (76.5%) 9 (52.9%) 16 (84.2%)
What educational methods do you prefer for additional MIH training? (Multiple responses allowed) In-depth theoretical lectures 20 (27.0%) 5 (23.8%) 4 (23.5%) 3 (17.6%) 8 (42.1%)
Case-based practical sessions 53 (71.6%) 16 (76.2%) 15 (88.2%) 9 (52.9%) 13 (68.4%)
Clinical observation 36 (48.6%) 11 (52.4%) 5 (29.4%) 9 (52.9%) 11 (57.9%)
Image Identification
Correct answer 53 (71.6%) 13 (61.9%) 10 (58.8%) 13 (76.5%) 17 (89.5%) 0.133
Enamel Hypoplasia 8 (10.8%) 2 (9.5%) 3 (17.6%) 1 (5.9%) 2 (10.5%)
White spot lesions 16 (21.6%) 7 (33.3%) 4 (23.5%) 3 (17.6%) 2 (10.5%)

p values from Fisher’s exact test and one-way ANOVA.

* : p < .05;

(a) : η² (partial eta squared) = 0.13.

Interpretation of η²: small ≥ 0.01; medium ≥ 0.06; large ≥ 0.14.

Int: Intern; R1: First-year resident; R2: Second-year resident; R3: Third-year resident; MIH: Molar-Incisor Hypomineralization.

Table 8.
Comparison of knowledge, perception, and educational needs regarding Molar-Incisor Hypomineralization between pediatric/conservative and the other dental residents
Question PEDO, CONS (n = 20) The others (n = 54) p value Effect size
% or mean ± SD (95% CI)
Familiarity with MIH 100.0 98.1 1.000 h = 0.277
Awareness of clinical features 95.0 68.5 0.03 h = 0.741
Knowledge of diagnostic criteria 45.0 7.4 < 0.0001*** h = 0.920
Awareness of MIH-related caries 95.0 51.9 < 0.0001*** h = 1.082
Awareness of prevalence in Korea 5.0 3.7 1.000 h = 0.064
Estimated prevalence in Korea (5 - 10%) 60.0 46.3 0.432 h = 0.275
Clinical observation of MIH 65.0 35.2 0.042* h = 0.605
Frequency of MIH observation in the clinic < 0.0001*** V = 0.490
Weekly 10.0 0.0
Monthly 35.0 7.4
Yearly 55.0 75.9
Never 0.0 16.7
Proportion of patients with MIH signs < 0.0001*** V = 0.469
< 10% 55.0 50.0
10 - 25% 25.0 0.0
> 25% 5.0 1.9
None 15.0 48.1
Ability to identify in practice 65.0 13.0 < 0.0001*** h = 1.138
Difficulty in differential diagnosis 75.0 85.2 0.326 h = 0.257
Confidence in diagnosing MIH (1 - 5 scale) 2.80 ± 0.90 (2.38 - 3.22) 2.10 ± 0.71 (1.91 - 2.29) 0.001** d = 1.487
Perception of MIH as a clinical problem 95.5 81.5 0.269 h = 0.462
Importance of early intervention (1 - 5 scale) 4.75 ± 0.55 (4.49 - 5.01) 4.13 ± 0.70 (3.94 - 4.32) 0.001** d = 0.937
Need for more MIH education in the curriculum 90.0 94.4 0.607 h = 0.165
Image-based identification of MIH (accuracy) 80.0 68.5 0.396 h = 0.264

p values from the chi-square test, Fisher’s exact test, and independent t-tests.

* : p < .05;

** : p < .01,

*** : p < .001.

PEDO: pediatric dentistry; CONS: conservative dentistry; MIH: Molar-Incisor Hypomineralization; h: Cohen’s h (small ≥ 0.2, medium ≥ 0.5, large ≥ 0.8); d: Cohen’s d (small ≥ 0.2, medium ≥ 0.5, large ≥ 0.8); V: Cramér’s V (small ≥ 0.1, medium ≥ 0.3, large ≥ 0.5).

Table 9.
Logistic regression analysis of factors affecting accuracy in image-based identification of Molar-Incisor Hypomineralization among students and residents
Independent variables B S.E. Wald df p value Exp(B) 95% CI for Exp(B)
Academic year −0.201 0.354 0.323 1 0.570 0.818 0.409 - 1.636
Residency year 1.586 0.850 3.485 1 0.062 4.885 0.924 - 25.829
Awareness of clinical features 0.364 0.379 0.923 1 0.337 1.440 0.685 - 3.027
Knowledge of diagnostic criteria 0.014 0.749 0.000 1 0.985 1.014 0.234 - 4.396
Clinical observation of MIH −0.064 0.373 0.029 1 0.864 0.938 0.451 - 1.950
Ability to identify in practice 0.510 0.466 1.200 1 0.273 1.666 0.668 - 4.151
Confidence in diagnosing MIH 0.045 0.246 0.034 1 0.854 1.046 0.646 - 1.696
Constant −0.162 0.431 0.141 1 0.707 0.851

MIH: Molar-Incisor Hypomineralization; B: regression coefficient; S.E.: standard error; Wald: Wald chi-square statistic; df: degrees of freedom; Exp(B): odds ratio; CI: confidence interval.

Table 10.
Mean differences in diagnostic confidence by image identification accuracy, knowledge of diagnostic criteria, and clinical experience among students and residents
Variables Group Mean ± SD Statistic p value Effect size
Image identification Correct 1.76 ± 0.73 t = -2.192 0.029* d = 0.30
Incorrect 2.00 ± 0.84
Knowledge of diagnostic criteria Yes, can apply. 2.74 ± 0.86 F = 31.666 < 0.0001*** η² = 0.23
Yes, but can’t apply. 1.69 ± 0.58
No 1.74 ± 0.70
Clinical observation of MIH Yes 2.40 ± 0.84 t = 5.852 < 0.0001*** d = 0.87
No 1.73 ± 0.71
Frequency of MIH observation in the clinic Weekly 2.67 ± 1.53 F = 8.726 < 0.0001*** η² = 0.11
Monthly 2.42 ± 0.90
Yearly 2.05 ± 0.79
None 1.66 ± 0.69

p values from independent t-tests and one-way ANOVA.

* : p < .05;

*** : p < .0001.

MIH: Molar-Incisor Hypomineralization; d: Cohen’s d (small ≥ 0.2, medium ≥ 0.5, large ≥ 0.8); η²: partial eta squared (small ≥ 0.01, medium ≥ 0.06, large ≥ 0.14).

Table 11.
Comparison of Molar-Incisor Hypomineralization awareness, clinical experience, and educational needs among European dental students and Chonnam National University School of Dentistry
Evaluation Items Germany (2021) Switzerland (2021) Austria (2021) Spain (2024) Chonnam National University (2025)
Awareness of MIH 97.0% 99.0% 98.0% 75.2% 69.0%
Main source: lectures 86.0% 92.0% 88.0% 76.9% 55.2%
Main source: clinical practice 53.0% 50.0% 73.0% 69.4% 9.0%
Clinical observation of MIH 34.0% 26.0% 23.0% Not reported 17.2%
Difficulty in differential diagnosis 79.0% 72.0% 77.0% 58.3% 89.0%
Confidence in diagnosing MIH 16.0% 12.0% 13.0% 62.7% 14.5%
Need for additional education 98.0% 89.0% 96.0% 83.8% 87.6%

Data for Germany, Switzerland, Austria, and Spain were extracted from previously published studies[25-28].

MIH: Molar-Incisor Hypomineralization.

References

1. Weerheijm KL, Jälevik B, Alaluusua S : Molar-incisor hypomineralisation. Caries Res, 35:390-391, 2001.
crossref pmid pdf
2. Lygidakis NA, Garot E, Somani C, Taylor GD, Rouas P, Wong FSL : Best clinical practice guidance for clinicians dealing with children presenting with molar-incisor-hypomineralisation (MIH): an updated European Academy of Paediatric Dentistry policy document. Eur Arch Paediatr Dent, 23:3-21, 2022.
crossref pmid pmc pdf
3. Schneider PM, Silva M : Endemic molar incisor hypomineralization: a pandemic problem that requires monitoring by the entire health care community. Curr Osteoporos Rep, 16:283-288, 2018.
crossref pmid pdf
4. Rodd HD, Graham A, Tajmehr N, Timms L, Hasmun N : Molar incisor hypomineralisation: Current Knowledge and Practice. Int Dent J, 71:285-291, 2021.
crossref pmid pmc pdf
5. Kisacik S, Ozler CO, Olmez S : Molar incisor hypomineralization and oral health-related quality of life: a sample of 8-12-years-old children. Clin Oral Investig, 28:105, 2024.
crossref pmid pmc pdf
6. Gevert MV, Wambier LM, Ito LY, Souza JF, Chibinski ACR : Which are the clinical consequences of Molar Incisor hypomineralization (MIH) in children and adolescents? Systematic review and meta-analysis. Clin Oral Investig, 28:415, 2024.
crossref pmid pdf
7. Schwendicke F, Elhennawy K, Reda S, Bekes K, Manton DJ, Krois J : Global burden of molar incisor hypomineralization. J Dent, 68:10-18, 2018.
crossref pmid
8. Ammar N, Fresen KF, Schwendicke F, Kühnisch J : Epidemiological trends in enamel hypomineralisation and molar-incisor hypomineralisation: a systematic review and meta-analysis. Clin Oral Investig, 29:327, 2025.
crossref pmid pmc pdf
9. Shin JH, An UJ, Kim S, Jeong TS : The prevalence of molar incisor hypomineralization and status of first molars in primary school children. J Korean Acad Pediatr Dent, 37:179-185, 2010.
10. Shin JH, Lee GL, Kim JS, Kim JY, Kim S : Prevalence and clinical features of molar-incisor hypomineralization in adolescents in Yangsan. J Korean Acad Pediatr Dent, 44:210-219, 2017.
crossref
11. Kim TH, Jeong IY, Lee DW, Kim JG, Yang YM : Prevalence and etiology of molar incisor hypomineralization in children aged 8 - 9 years. J Korean Acad Pediatr Dent, 43:410-418, 2016.
crossref
12. Lee DW, Kim YJ, Kim SO, Choi SC, Kim JB, Lee JH, Kim HJ, Shin JH, Lee NY, Kim SM, Ra JY, Kim JH, Yang YM : Factors associated with molar-incisor hypomineralization: a population-based case-control study. Pediatr Dent, 42:134-140, 2020.
pmid
13. Garot E, Rouas P, Somani C, Taylor GD, Wong F, Lygidakis NA : An update of the aetiological factors involved in molar incisor hypomineralisation (MIH): a systematic review and meta-analysis. Eur Arch Paediatr Dent, 23:23-38, 2022.
crossref pmid pdf
14. Al-Nerabieah Z, AlKhouli M, Dashash M : Navigating the complexities of molar incisor hypomineralization: challenges and strategies in pediatric dentistry. Int J Dent, 2025:9329492, 2025.
crossref pmid pmc
15. Tynior W, Pietraszewska D, Truszkowska M, Ilczuk-Rypuła D : Molar Incisor Hypomineralization: A Survey of Dental Students from Polish Medical Universities. Pediatr Rep, 16:1014-1021, 2024.
crossref pmid pmc
16. Silva MJ, Alhowaish L, Ghanim A, Manton DJ : Knowledge and attitudes regarding molar incisor hypomineralisation amongst Saudi Arabian dental practitioners and dental students. Eur Arch Paediatr Dent, 17:215-222, 2016.
crossref pmid pdf
17. Gamboa GCS, Lee GHM, Ekambaram M, Yiu CKY : Knowledge, perceptions, and clinical experiences on molar incisor hypomineralization among dental care providers in Hong Kong. BMC Oral Health, 18:217, 2018.
crossref pmid pmc pdf
18. Osborne R, Silva M, Taylor GD : Qualitative study exploring general dental practitioners’ views of MIH and its management in the UK and Australia. Int J Paediatr Dent, 34:372-382, 2024.
crossref pmid
19. Tagelsir A, Dean JA, Eckert GJ, Martinez-Mier EA : U.S. Pediatric Dentists’ Perception of Molar Incisor Hypomineralization. Pediatr Dent, 40:272-278, 2018.
pmid
20. Kalkani M, Balmer RC, Homer RM, Day PF, Duggal MS : Molar incisor hypomineralisation: experience and perceived challenges among dentists specialising in paediatric dentistry and a group of general dental practitioners in the UK. Eur Arch Paediatr Dent, 17:81-88, 2016.
crossref pmid pdf
21. Marquillier T, Szönyi V, Mwenge-Wambel J, Dursun E, Grosgogeat B : Dentists’ Knowledge, Attitudes, and Practices Regarding Molar Incisor Hypomineralization (MIH): A French Survey. Cureus, 17:e78943, 2025.
crossref pmid pmc
22. Jälevik B, Klingberg GA : Dental treatment, dental fear and behaviour management problems in children with severe enamel hypomineralization of their permanent first molars. Int J Paediatr Dent, 12:24-32, 2002.
crossref pmid
23. Gambetta-Tessini K, Mariño R, Ghanim A, Calache H, Manton DJ : Knowledge, experience and perceptions regarding Molar-Incisor Hypomineralisation (MIH) amongst Australian and Chilean public oral health care practitioners. BMC Oral Health, 16:75, 2016.
crossref pmid pmc pdf
24. Ghanim A, Silva MJ, Elfrink MEC, Lygidakis NA, Maríño RJ, Weerheijm KL, Manton DJ : Molar incisor hypomineralisation (MIH) training manual for clinical field surveys and practice. Eur Arch Paediatr Dent, 18:225-242, 2017.
crossref pmid pdf
25. Elhennawy K, Anang M, Splieth C, Bekes K, Manton DJ, Hedar Z, Krois J, Jost-Brinkmann PG, Schwendicke F : Knowledge, attitudes, and beliefs regarding molar incisor hypomineralization (MIH) amongst German dental students. Int J Paediatr Dent, 31:486-495, 2021.
crossref pmid pdf
26. Hamza B, Elhennawy K, van Waes H, Papageorgiou SN : Knowledge, attitudes, and beliefs regarding molar incisor hypomineralisation amongst Swiss dental students. BMC Oral Health, 21:548, 2021.
crossref pmid pmc pdf
27. Bekes K, Melichar K, Stamm T, Elhennawy K : Dental students’ knowledge, attitudes and beliefs regarding molar incisor hypomineralization (MIH): a survey in Vienna, Austria. J Multidiscip Healthc, 14:2881-2889, 2021.
crossref pmid pmc pdf
28. Tarazona-Valero V, Almerich-Silla JM, Iranzo-Cortés JE, Ortolá-Siscar JC, Almerich-Torres T : Knowledge and perception regarding molar incisor hypomineralisation among dental students and dental hygienist students in Spain: a cross-sectional study. BMC Oral Health, 24:300, 2024.
crossref pmid pmc pdf
29. Humphreys J, Graham A, Rodd HD, Albadri S, Parekh S, Somani C, Hosey MT, Taylor GD : Molar incisor hypomineralisation: Teaching and assessment across the undergraduate dental curricula in the UK. Int J Paediatr Dent, 34:576-583, 2024.
crossref pmid
30. Craveia J, Rouas P, Carat T, Manton DJ, Boileau MJ, Garot E : Knowledge and management of first permanent molars with enamel hypomineralization among dentists and orthodontists. J Clin Pediatr Dent, 44:20-27, 2020.
crossref pmid pdf
31. Negrescu J, Kodra L, Ziada H, Al-Talib T, Abubakr NH : Molar incisor hypomineralization: Awareness among postdoctoral dental residents: A cross-sectional study. Dent J, 10:64, 2022.
crossref pmid pmc
32. Eva KW, Regehr G : Self-assessment in the health professions: a reformulation and research agenda. Acad Med, 80(10 Suppl):S46-S54, 2005.
crossref pmid
33. Fraundorf SH, Caddick ZA, Nokes-Malach TJ, Rottman BM : Cognitive perspectives on maintaining physicians’ medical expertise: III. Strengths and weaknesses of self-assessment. Cogn Res Princ Implic, 8:58, 2023.
crossref pmid pmc pdf
34. Elhennawy K, Manton DJ, Crombie F, Zaslansky P, Radlanski RJ, Jost-Brinkmann PG, Schwendicke F : Structural, mechanical and chemical evaluation of molar-incisor hypomineralization-affected enamel: A systematic review. Arch Oral Biol, 83:272-281, 2017.
crossref pmid
35. Ostermann C, Splieth C, Alkilzy M : Knowledge, assessment and treatment of molar incisor hypomineralisation (MIH) among German dentists. Clin Oral Investig, 29:171, 2025.
crossref pmid pmc pdf
36. Daly D, Waldron JM : Molar incisor hypomineralisation: clinical management of the young patient. J Ir Dent Assoc, 55:83-86, 2009.
pmid
37. Somani C, Taylor GD, Garot E, Rouas P, Lygidakis NA, Wong FSL : An update of treatment modalities in children and adolescents with teeth affected by molar incisor hypomineralisation (MIH): a systematic review. Eur Arch Paediatr Dent, 23:39-64, 2022.
crossref pmid pmc pdf
38. Ghanim A, Mariño R, Manton DJ : Validity and reproducibility testing of the Molar Incisor Hypomineralisation (MIH) Index. Int J Paediatr Dent, 29:6-13, 2019.
pmid
39. Restrepo M, Rojas-Gualdrón DF, de Farias AL, Escobar A, Vélez LF, Bussaneli DG, Santos-Pinto L : Development of undergraduate students’ diagnostic accuracy for the classification of molar incisor hypomineralization. Eur J Dent Educ, 28:154-160, 2024.
crossref pmid
40. Neumayr J, Frenkel E, Schwarzmaier J, Ammar N, Kessler A, Schwendicke F, Kühnisch J, Dujic H : External validation of an artificial intelligence-based method for the detection and classification of molar incisor hypomineralisation in dental photographs. J Dent, 148:105228, 2024.
crossref pmid
41. Koolivand H, Shooreshi MM, Safari-Faramani R, Borji M, Mansoory MS, Moradpoor H, Bahrami M, Azizi SM : Comparison of the effectiveness of virtual reality-based education and conventional teaching methods in dental education: a systematic review. BMC Med Educ, 24:8, 2024.
crossref pmid pmc pdf
42. Aguilar Gálvez D, Noal FC, Arriola-Guillén LE, Hugo FN, Leal SC, Borba de Araujo F : Virtual learning object for developing knowledge about the diagnosis and management of molar incisor hypomineralization. Int J Paediatr Dent, 32:458-463, 2022.
crossref pmid pdf
43. Madi M, Sadaf S, Al Dawood Z, Asiri A, Farooqi FA, Abdelsalam M, AlHumaid J : Peer evaluation as an alternative assessment method for case presentations: A cross-sectional study of dental students’ perception. J Dent Educ, 88:1388-1397, 2024.
crossref pmid
44. Das MK : Multicenter studies: relevance, design and implementation. Indian Pediatr, 59:571-579, 2022.
crossref pmid pdf


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