Journal List > Korean J Orthod > v.50(3) > 1145693

Hong, Kyung, Park, Yu, and Baek: Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012–2017

Abstract

Objective

To investigate the prevalence of malocclusion with respect to grade, sex, and year among Korean pre-adolescent and adolescent students during 2012–2017.

Methods

A total of 165,996 students (first grade [E1, 6–7 years of age], fourth grade [E4, 9–10 years], seventh grade [M1, 12–13 years], and tenth grade [H1, 15–16 years]) were selected by stratified sampling method and underwent the nationwide oral health examination performed by the Ministry of Education, Republic of Korea. The malocclusion assessments based on dentists’ judgments were “no malocclusion,” “needs orthodontic treatment (N-OTx),” and “under orthodontic treatment (U-OTx).” The sum of N-OTx and U-OTx cases was determined as the number of students with malocclusion. After analyzing the prevalence of malocclusion according to grade, sex, and year-by-year differences, Pearson correlation analyses and two-way analyses of variance were performed.

Results

The prevalence of malocclusion was 18.7%, which increased with the grades (E1 [8.3%] < E4 [15.8%] < M1 [22.9%] < H1 [25.3%], p < 0.001). However, there was no significant difference in the prevalence of malocclusion in each grade group for the period (p > 0.05) without significant correlation (E1, ρ = 0.129; E4, ρ = –0.495; M1, ρ = 0.406; H1, ρ = –0.383; all p > 0.05). The prevalence of malocclusion within each grade group over the six-year period was more prominent in the female (p < 0.0001).

Conclusions

Further studies are necessary to modify the malocclusion assessment method to account for specific types of malocclusion in pre-adolescent and adolescent students.

INTRODUCTION

The low birth rate in Korea, Republic (KR) has recently become a serious social issue. According to KR statistics,1 the population of children is projected to decrease from 7,030,000 persons (13.8%) in 2015 to 5,980,000 persons (11.3%) in 2035, and to 4,130,000 persons (9.6%) in 2065. Furthermore, the Korean Dental Association reported that 1,395 orthodontic specialists have been certified since 2008.2 Therefore, there are increasing concerns regarding a potential reduction in the demand for orthodontic treatment in the future and increased competition among orthodontists under the new professionalism system.
Epidemiological studies are useful for measuring the distribution of specific diseases in the population and for planning and evaluating healthcare services, such as professional education and the doctor-to-patient ratio. The estimated prevalence of malocclusion in a particular population can provide basic information about the supply and demand of professional health care providers. Several studies have attempted to measure the orthodontic treatment needs and estimate the prevalence of malocclusion in specific communities, yielding descriptive data for the distribution of individuals seeking orthodontic treatment in specific populations.3-6
In KR, numerous epidemiologic studies have been conducted using community surveys,7,8 longitudinal dental hospital data analyses,9-17 and longitudinal local dental clinic data analyses.18,19 However, these studies share a common limitation in that they are not based on nationwide sampling or survey data. In this regard, the Ministry of Education, KR has conducted an annual oral health examination for pre-adolescent and adolescent students since 2008, and the data from this survey can be reorganized as a secondary dataset for estimating the prevalence of malocclusion. To our knowledge, there has been no published study including nationwide assessment of malocclusion in pre-adolescent and adolescent students. Therefore, the purpose of this study was to investigate the prevalence of malocclusion in relation to grade, sex, and year in pre-adolescent and adolescent students of KR during 2012–2017.

MATERIALS AND METHODS

Subjects

In this study, for the purpose of homogeneity of sampling methods, the analyzed data were based on oral health examinations for pre-adolescent and adolescent students conducted from 2012 to 2017. For stratified sampling, the primary unit was “school” and the secondary unit was “classroom”. Selection of “school” was based on probability proportional to size sampling. For the secondary unit, complete enumeration for one classroom of the primary unit school was fulfilled. For example, in 2017, a total of 764 schools, including 250 elementary schools, 254 middle schools, and 260 high schools, were selected.
The final sample was extracted from one whole class room of each school: the first grade (E1; student age, 6–7 years) and fourth grade (E4; age, 9–10 years) of elementary schools, the first grade of middle schools (7th grade, M1; age, 12–13 years), and the first grade of high schools (10th grade, H1; age, 15–16 years). The reason of selecting these grades was that the dental ages at E1, E4, M1, and H1 might represent the early mixed dentition stage, late mixed dentition, early permanent dentition, and permanent dentition, respectively. The final samples consisted of 165,996 students including 33,743 students for E1, 33,856 students for E4, 47,051 students for M1, and 51,346 students for H1 (Table 1).20 This study was reviewed and approved by the Institutional Review Board of the Kyungpook National University Dental Hospital (KNUDH-2009-11-04-00).

Assessment of malocclusion

Each student in the final sample visited a dental clinic for an oral health examination that included evaluation of dental caries, missing teeth, soft tissue disease, malocclusion, and oral hygiene (Figure 1). Assessment of malocclusion was carried out by dentists’ judgments and divided into “no malocclusion (N-M),” “needs orthodontic treatment (N-OTx),” and “under orthodontic treatment (U-OTx).” The criteria for assigning “N-OTx” and “N-M” were the presence of a class I occlusion and normal overbite/overjet, respectively. The number of students with malocclusion was calculated as the sum of N-OTx and U-OTx cases.

Statistical analysis

This secondary longitudinal dataset was reorganized to analyze the prevalence of malocclusion according to grade, sex, and year-by-year differences. Descriptive statistics, two-way analysis of variance (ANOVA), and Pearson correlation analysis were performed for statistical analysis. Two-way ANOVA was designed to assess the interrelationship of the variables grades and sex on the prevalence of malocclusion. IBM SPSS Statistics ver. 23.0 (IBM Corp., Armonk, NY, USA) was used. A p-value of < 0.05 was considered significant.

RESULTS

The estimated prevalence of major oral diseases

The mean prevalence of dental caries was 27.6% (range, 23.6–30.9%), followed by malocclusion (mean, 18.7%; range, 16.9–20.3%) and periodontitis (mean, 14.6%; range, 13.2–17.0%) (Figure 2).20

Year-by-year changes in the prevalence of malocclusion

There was no significant correlation for each grade group across all years (E1, ρ = 0.129; E4, ρ = –0.495; M1, ρ = 0.406; H1, ρ = –0.383; all p > 0.05; Table 1). Therefore, the prevalence of malocclusion in each grade group did not present annual differences.

Changes in the prevalence of malocclusion according to sex*grade

A two-way ANOVA was conducted to compare the prevalence of malocclusion in relation to sex and grades, considering type II error. Significant main effects were observed for both grade (f = 327.151, p < 0.0001) and sex (f = 53.584, p < 0.0001). However, grade*sex did not show a significant interactive effect (f = 1.275, p = 0.296) (Table 2).20

Changes in the prevalence of malocclusion according to sex and grades

The mean prevalence of malocclusion increased with grade (E1 [8.3%] < E4 [15.8%] < M1 [22.9%] < H1 [25.3%], p < 0.001; Table 2). Thus, higher grades corresponded to a higher prevalence of malocclusion. Female participants showed a higher prevalence of malocclusion than did male participants (p < 0.0001; Table 2). However, there was no significant correlation for this relationship in each grade during the study period (all p > 0.05, Table 1). Therefore, it can be stated that the prevalence of malocclusion tended to greater in the female participants in each grade group over the six-year study period.

DISCUSSION

The estimated prevalence of major oral diseases

In this study, 18.7% of subjects had malocclusion, which showed a prevalence lower than that of dental caries (27.6%) but higher than that of periodontitis (14.6%) (Figure 2). While the prevalence of dental caries reduced from 2012 to 2017, the prevalences of malocclusion and periodontitis remained steady during these years (Figure 2).
There is some controversy regarding the relationships between malocclusion and other oral diseases. Arora and Bhateja21 insisted that malocclusion did not have a significant effect on the prevalence of dental caries and periodontitis among 12-year-old school children. However, a positive correlation between the degree of malocclusion severity and the existence of dental caries was reported in the primary dentition by Disha et al.22 and among students aged 11–15 years by Baskaradoss et al.23 This relationship should be investigated using more sophisticated malocclusion assessment methods and larger sample sizes with nationwide oral health examination.

The estimated prevalence of malocclusion

The prevalence of malocclusion in this study was estimated to be 18.7%. However, the prevalence of malocclusion among growing children has been reported to range from 39–93%.22,24-26 This discrepancy can be attributed to differences in ethnicity, age, and the criteria and methodologies used for assessment. In terms of the criteria and methodologies used for assessment, previous studies used Angle’s classification, index of orthodontic treatment need (IOTN), dental esthetic index (DAI), and treatment priority index (TPI)24,27; while the present study used three criteria categorized as N-M, N-OTx, and U-OTx (Figure 1).

Comparison of the estimated prevalence of malocclusion in the Korean population

In Table 3, we have summarized the results from previous Korean epidemiologic studies on the distribution of malocclusion type or utilization of orthodontic treatment services. Although the majority of previous studies used Angle’s classification to determine malocclusion type,7,9-19 only one study used the malocclusion indices (handicapping labiolingual deviation; TPI; and handicapped malocclusion assessing record).8 However, these previous studies had inevitable limitations, including small sample sizes, specific hospital patients or local clinic patients, and inability to calculate the prevalence of malocclusion.
The prevalence of malocclusion reported by Suhr et al.7 was much higher than that noted in this study (61.2 vs. 18.7%). Although the study by Suhr et al.7 was the only study that reported the prevalence of malocclusion in Korean students among previous Korean epidemiological studies, they regarded the sum of cases showing Angle’s class I (45.7%), class II (7.6%), and class III (7.9%) cases as those requiring orthodontic treatment. However, a high prevalence of malocclusion on the basis of Angle’s classification did not necessarily indicate the needs for orthodontic treatment.26 Furthermore, the approach of counting class I malocclusion cases as those requiring orthodontic treatment might result in over-estimation of the prevalence of malocclusion.

Changes in the prevalence of malocclusion according to grades

In the present study, the prevalence of malocclusion increased with grades (8.3% for E1, 15.8% for E4, 22.9% for M1, and 25.3% for H1; E1 < E4 < M1 < H1, p < 0.001; Table 2). These findings indicate that the number of students with malocclusion in the permanent dentition was higher than those in the mixed dentition (M1 + H1, n = 98,397/165,996 [59.3%] vs. E1 + E4, n = 67,599/165,996 [40.7%]; Table 1).
For malocclusion in the mixed dentition stage, such as those encountered in E1 and E4, the skeletal malocclusion type might primarily influence the type of orthodontic treatment required. However, for malocclusion in the permanent dentition stage, such as those observed in M1 and H1, both skeletal and dental malocclusion types might influence the type of orthodontic treatment required. Therefore, in the early and late mixed dentition period (E1 and E4), growth modification of skeletal malocclusion and interceptive/preventive orthodontic treatment for dental malocclusion should be considered. However, in the early permanent dentition and permanent dentition periods (M1 and H1), one out of four to five students showed malocclusion. This could be attributed to the following reasons: (1) skeletal malocclusion worsens with age, and (2) dental dysplasia, such as protrusion, abnormal overjet, and deep/open bite are apparent in the development of the permanent dentition.

Changes in the prevalence of malocclusion according to sex

In the present study, the female group showed a dominant pattern in the prevalence of malocclusion over the male group in each grade group, regardless of year (19.6% vs.16.5%, p < 0.0001; Table 2). However, Suhr et al.7 reported no significant difference in malocclusion prevalence between males and females among 7- to 22-year-old Korean students. This variance might be due to differences in the assessment methods and geographic regions: Suhr et al.7 considered the sum of cases showing Angle’s class I (45.7%), II (7.6%), and III (7.9%) as those requiring orthodontic treatment and conducted their study in a single community (Seoul); in contrast, this study considered the sum of those categorized as “N-OTx” and “U-OTx” as those requiring orthodontic treatment and was conducted nationwide.

Suggestion of new assessment method for Korean oral health examination

The main objectives of malocclusion assessment in oral health examinations are to screen patients who may potentially require orthodontic treatment and to recommend appropriate orthodontic treatment methods and appliances depending on their malocclusion types. However, the current malocclusion assessment method in Korean oral health examinations (Figure 1) has some limitations as follows: (1) Since individual occlusal development stage can vary even within the same grade or age, it is necessary to obtain actual examination recordings or radiographic images of the sample when obtaining the secondary data set. (2) It cannot explain the malocclusion types including the skeletal or dental origin. (3) It cannot reveal the specific reasons underlying the need of orthodontic treatment. (4) When the subjects who received orthodontic treatment previously might have unsolved problems, unfavorable growth potential, or relapse, it is necessary to decide whether they should be classified as “N-M” or “N-OTx.”
Alajlan et al.26 classified the malocclusion type in a clinically simple and practical manner: openbite, crossbite, and scissor bite. Therefore, it is necessary to revise the oral health examination form to allow classification of the problems or malocclusion types. Thus, we would like to propose additions to the oral health examination form to obtain further information (Table 4). The revised oral health examination form consists of three major components, which are “History of previous orthodontic treatment,” including “Facial” and “Dental”; “History of previous orthodontic treatment,” including removable, extraoral, or fixed appliance; “Facial component” include “Profile,” “Facial type,” “Asymmetry,” and “Nasolabial angle”; and “Dental component” including “Antero-posterior relationship,” “Anterior crossbite,” “Vertical relationship,” “Posterior crossbite,” “Arch length discrepancy,” and “inclination of the upper and lower incisors.” Therefore, after examiners check all the components comprehensively and rule them out one by one, they can refer their examinee to the specialists at an appropriate time. Appropriate timely referral is critical for the success of orthodontic treatment. In addition, use of cephalometric or panoramic radiographs can increase the reliability of malocclusion assessment.
Although the absolute demand for orthodontic treatment in the growing children population in Korea might decrease in the next few decades, the orthodontic treatment needs for adults and/or elderly people population might increase due to concerns over facial and dental esthetics. Therefore, nationwide examinations including assessment of malocclusion types and orthodontic treatment needs of adults should be considered in future studies.

CONCLUSION

Although significant information about the prevalence of malocclusion could be obtained from nationwide oral health examinations, further studies are necessary to modify the malocclusion assessment methods for providing specific type of malocclusion data in pre-adolescent and adolescent students.

ACKNOWLEDGEMENTS

This research was supported by Korean Association of Orthodontists Research Fund, 2017.

Notes

How to cite this article: Hong M, Kyung HM, Park HS, Yu WJ, Baek SH. Estimation of the prevalence of malocclusion on the basis of nationwide oral health examinations of pre-adolescent and adolescent students during 2012–2017. Korean J Orthod 2020;50:197-205.

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

REFERENCES

2. Chun SH. 2019. Jul. 5. The advent of age of 10,000 dental specialists in coming year [Internet]. Daily Dental Press of Korean Dental Association;Seoul: Available from: http://www.dailydental.co.kr/news/article.html?.no=106811. cited 2019 Aug 5.
3. Brook PH, Shaw WC. 1989; The development of an index of orthodontic treatment priority. Eur J Orthod. 11:309–20. DOI: 10.1093/oxfordjournals.ejo.a035999. PMID: 2792220.
crossref
4. Shaw WC, Richmond S, O'Brien KD. 1995; The use of occlusal indices: a European perspective. Am J Orthod Dentofacial Orthop. 107:1–10. DOI: 10.1016/S0889-5406(95)70151-6. PMID: 7817954.
crossref
5. Burden DJ, Pine CM, Burnside G. 2001; Modified IOTN: an orthodontic treatment need index for use in oral health surveys. Community Dent Oral Epidemiol. 29:220–5. DOI: 10.1034/j.1600-0528.2001.290308.x. PMID: 11409681.
crossref
6. Grippaudo C, Paolantonio EG, Deli R, La Torre G. 2007; Validation of the Risk of Malocclusion Assessment (ROMA) index. Eur J Paediatr Dent. 8:136–42. PMID: 17919062.
7. Suhr CH, Nahm DS, Chang YI. 1984; Epidemiologic study of the prevalence of malocclusion in Korean. Korean J Orthod. 14:33–7.
8. Sohn BW, Hwang CJ, Hwang HS. 1993; Modality of malocclusion according to regional difference using HLD (handicapping Labiolingual deviation), TPI (Treatment priority index) and HMAR (handicapped malocclusion assessing record). Korean J Orthod. 23:17–35.
9. Kwon OW, Kyung HM, Gok DB, Sun JH, Park DW. 1989; The distribution and trend of malocclusion patients visited at department of orthodontics. Korean J Orthod. 19:35–48.
10. Yang WS. 1995; The study on the orthodontic patients who visited department of orthodontics, Seoul National University Hospital during last 10 years (1985-1994). Korean J Orthod. 25:497–509.
11. Baik HS, Kim KH, Park Y. 1995; The distributions and trends in malocclusion patients- a 10 year study of 2155 patients from YDSH. Korean J Orthod. 25:87–100.
12. Yu HS, Ryu YK, Lee JY. 1999; A study on the distributions and trends in malocclusion patients from department of orthodontics, college of dentistry, Yonsei university. Korean J Orthod. 29:267–76.
13. Hwang MS, Yoon YJ, Kim KW. 2001; An epidemiologic study on the orthodontic patients who visited department of orthodontics, Chosun University Dental Hospital last 10 years (1990~1999). Korean J Orthod. 31:283–300.
14. Im DH, Kim TW, Nahm DS, Jang YI. 2003; Current trends in orthodontic patients in Seoul National University Dental Hospital. Korean J Orthod. 33:63–72.
15. Chung SH, Lee HK. 2006; Trends in malocclusion patients of Yeungnam University Hospital. Yeungnam Univ J Med. 23:71–81. DOI: 10.12701/yujm.2006.23.1.71.
crossref
16. Yoon HJ. 2008. (A) study on the distributions and trends in malocclusion patient who were treated in department of orthodontics, Dankook University Dental Hospital during the last 20 years [MS thesis]. Dankook University;Cheonan:
crossref
17. Piao Y, Kim SJ, Yu HS, Cha JY, Baik HS. 2016; Five-year investigation of a large orthodontic patient population at a dental hospital in South Korea. Korean J Orthod. 46:137–45. DOI: 10.4041/kjod.2016.46.3.137. PMID: 27226959. PMCID: PMC4879316.
crossref
18. Jung MH. 2009; Current trends in orthodontic patients in private orthodontic clinics. Korean J Orthod. 39:36–42. DOI: 10.4041/kjod.2009.39.1.36.
crossref
19. Choi YH. 2017. Current trends in of orthodontic patients in private orthodontic clinic in Daegu [MS thesis]. Kyungpook National University;Daegu:
20. Students' Health Information Center. 2009. May. Online archive of annual reports on health examination of national student sample [Internet]. Ministry of Education;Seoul: Available from: http://www.schoolhealth.kr/web/srs/selectPublicDataList.do?.sMenuId=0100008900. updated 2019 Nov 13; cited 2018 Jul 20.
21. Arora G, Bhateja S. 2015; Prevalence of dental caries, periodontitis, and oral hygiene status among 12-year-old schoolchildren having normal occlusion and malocclusion in Mathura city: a comparative epidemiological study. Indian J Dent Res. 26:48–52. DOI: 10.4103/0970-9290.156801. PMID: 25961615.
crossref
22. Disha P, Poornima P, Pai SM, Nagaveni NB, Roshan NM, Manoharan M. 2017; Malocclusion and dental caries experience among 8-9-year-old children in a city of South Indian region: a cross-sectional survey. J Educ Health Promot. 6:98. DOI: 10.4103/jehp.jehp_24_17. PMID: 29296599. PMCID: PMC5747238.
crossref
23. Baskaradoss JK, Geevarghese A, Roger C, Thaliath A. 2013; Prevalence of malocclusion and its relationship with caries among school children aged 11-15 years in southern India. Korean J Orthod. 43:35–41. DOI: 10.4041/kjod.2013.43.1.35. PMID: 23503064. PMCID: PMC3594879.
24. Thilander B, Pena L, Infante C, Parada SS, de Mayorga C. 2001; Prevalence of malocclusion and orthodontic treatment need in children and adolescents in Bogota, Colombia. An epidemiological study related to different stages of dental development. Eur J Orthod. 23:153–67. DOI: 10.1093/ejo/23.2.153. PMID: 11398553.
crossref
25. Dimberg L, Lennartsson B, Arnrup K, Bondemark L. 2015; Prevalence and change of malocclusions from primary to early permanent dentition: a longitudinal study. Angle Orthod. 85:728–34. DOI: 10.2319/080414-542.1. PMID: 25867255.
crossref
26. Alajlan SS, Alsaleh MK, Alshammari AF, Alharbi SM, Alshammari AK, Alshammari RR. 2019; The prevalence of malocclusion and orthodontic treatment need of school children in Northern Saudi Arabia. J Orthod Sci. 8:10. DOI: 10.4103/jos.JOS_104_18. PMID: 31161133. PMCID: PMC6540778.
27. Agarwal A, Mathur R. 2012; An overview of orthodontic indices. World J Dent. 3:77–86. DOI: 10.5005/jp-journals-10015-1132.
crossref

FIGURES AND TABLES

Figure 1
Oral health examination form for pre-adolescent and adolescent students provided by the Ministry of Education, Korea.
KJOD-50-197-f1.tif
Figure 2
Trend of changes in the estimated prevalence of major oral diseases across nationwide oral health examinations during 2012–2017. The stratified and extracted samples consisted of students in the first grade (elementary school), fourth grade (elementary school), seventh grade (middle school), and tenth grade (high school).
Source of origin: annual reports of national students health examination results from 2012 to 2017.20
KJOD-50-197-f2.tif
Table 1
The estimated prevalence of malocclusion in nationwide oral health examinations during 2012–2017
Year Elementary school Middle school High school Total



E1 E4 M1 H1





Number % of malocclusion Number % of malocclusion Number % of malocclusion Number % of malocclusion Number % of malocclusion
2012 5,848 7.0 5,912 16.0 8,734 21.7 8,572 24.3 29,066 18.3
2013 5,679 8.5 5,776 16.4 8,461 23.0 8,258 26.6 28,174 19.7
2014 5,639 9.4 5,584 17.2 7,787 23.3 8,129 28.7 27,139 20.3
2015 5,553 8.2 5,481 14.4 7,437 23.1 8,883 23.8 27,354 17.8
2016 5,545 9.4 5,486 16.5 7,419 23.7 9,086 25.3 27,536 19.3
2017 5,479 7.2 5,617 14.3 7,213 22.4 8,418 23.1 26,727 16.9
Sum 33,743 - 33,856 - 47,051 - 51,346 - 165,996 -
Mean 5,623.8 8.3 5,642.7 15.8 7,841.8 22.9 8,557.7 25.3 27,666 18.7
ρ-value* 0.129 −0.495 0.406 −0.383 −0.449
p-value 0.808 0.318 0.425 0.454 0.372

Source of numbers and % values: annual reports of national students health examination results from 2012 to 2017.20

E1, The first grade of elementary school; E4, the fourth grade of elementary school; M1, the first grade of middle school (seventh grade); H1, the first grade of high school (tenth grade).

* Pearson correlation coefficient value across years in each grade group, Pearson correlation analysis was performed across years in each grade group.

Table 2
Comparison of the estimated prevalence of malocclusion with respect to grade and sex
Group Value*
Elementary school E1 (33,743) Number 5,623.8
Total (%) 8.3
Male (%) 7.4
Female (%) 9.2
E4 (33,856) Number 5,642.7
Total (%) 15.8
Male (%) 14.3
Female (%) 17.4
Middle school M1 (47,051) Number 7,841.8
Total (%) 22.9
Male (%) 21.0
Female (%) 24.9
High school H1 (51,346) Number 8,557.7
Total (%) 25.3
Male (%) 23.3
Female (%) 27.0
Total (165,996) Number 27,666
Total (%) 18.7
Male (%) 16.5
Female (%) 19.6
p-value Grade: E1 < E4 < M1 < H1, p < 0.0001; Sex: Male < Female, p < 0.0001; Grade*Sex, p = 0.296

p-value from two-way analysis of variance test regarding two factors including four grade levels and sex.

E1, The first grade of elementary school; E4, the fourth grade of elementary school; M1, the first grade of middle school (seventh grade); H1, the first grade of high school (tenth grade).

* Secondary data based on raw data from annual reports of national students health examination results from 2012 to 2017.20

Table 3
Summary of previous epidemiologic studies on malocclusion assessment in Korea
Author (year) Assessment Sample Size Prevalence (%) Included as variables

Angle classification Sex Age
Suhr et al.7 (1984) Angle classification 7–22 year old students in Seoul 8,989 61 Yes Yes Yes
Sohn et al.8 (1993) HLD, TPI, and HMAR Elementary students from Seoul, Gwangju, Hwasun, and Anyang 649 Not applicable No Yes No
Kwon et al.9 (1989) Angle classification Kyungpook National University Dental Hospital 1,795 Not applicable Yes Yes Yes
Yang10 (1995) Angle classification Seoul National University Dental Hospital 6,788 Not applicable Yes Yes Yes
Baik et al.11 (1995) Angle classification Yonsei University Dental Hospital 2,155 Not applicable Yes Yes Yes
Yu et al.12 (1999) Angle classification Yonsei University Dental Hospital 9,159 Not applicable Yes Yes Yes
Hwang et al.13 (2001) Angle classification Chosun University Dental Hospital 3,070 Not applicable Yes Yes Yes
Im et al.14 (2003) Angle classification Seoul National University Dental Hospital 676 Not applicable Yes Yes Yes
Chung and Lee15 (2006) Angle classification Yeungnam University Hospital 993 Not applicable Yes Yes Yes
Yoon16 (2008) Angle classification Dankook University Dental Hospital 4,043 Not applicable Yes Yes Yes
Jung18 (2009) Angle classification Private clinics 1,620 Not applicable Yes Yes Yes
Piao et al.17 (2016) Angle classification Yonsei University Dental Hospital 7,476 Not applicable Yes Yes Yes
Choi19 (2017) Angle classification Private clinic 1,254 Not applicable Yes Yes Yes
This study Subjective assessment Nationwide sample 165,996 18.7 No Yes Yes

HLD, Handicapping labiolingual deviation; TPI, treatment priority index; HMAR, handicapped malocclusion assessing record.

Table 4
Suggested criteria for malocclusion assessment
Component Assessment criteria
History of previous orthodontic treatment Removable appliance Extraoral appliance Fixed appliance
Facial Profile Convex Straight Concave
Facial type Brachy Meso Dolicho
Asymmetry Symmetry Asymmetry -
Nasolabial angle Obtuse Normal Acute
Dental Antero-posterior relationship Class I Class II Class III
Anterior crossbite Yes No
Vertical relationship Open Normal Deep
Posterior crossbite Unilateral crossbite Normal Unilateral scissor bite
Bilateral crossbite Bilateral scissor bite
Arch length discrepancy Crowding Normal Spacing
Upper incisor Labioversion Normal Linguoversion
Lower incisor Labioversion Normal Linguoversion
TOOLS
Similar articles