Document Type : Original Article

Authors

1 Orthodontic Research Center, Shiraz University of Medical Science, Shiraz, Fars, Iran

2 Student Research Committee, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Objective: The objective of this research was to compare the orthodontic treatment need and demand using Dental Aesthetic Index (DAI) and Occlusal Index (OI) among dentistry students of Shiraz University of Medical Sciences. 
Materials and methods: This descriptive cross-sectional study was performed on 113 dental students in Shiraz University of Medical Sciences. The demand for orthodontic treatment was assessed using a standardized questionnaire and 10 photographs of Aesthetic Component (AC) of IOTN for the self-assessment of subjects about their dental attractiveness. Occlusal Index (OI) and Dental Aesthetic Index (DAI), which were calculated by clinical examination and dental model analysis, were used to assess the orthodontic treatment need. Students with a history of orthodontic treatment were excluded.
Results: Final analysis was done on 113 cases (48 men and 65 women). The study showed that there was a significant relationship between the demand for orthodontic treatment and the self-assessment of subjects about their dental attractiveness (according to the photograph they had chosen)(p=0.015). There is also a significant relationship between the self-assessment of subjects about their dental attractiveness (according to the photographs) and the orthodontic treatment need based on DAI (p=0.008). Furthermore, a significant connection was found between the self-assessment of subjects about their dental attractiveness (according to the photographs) and the orthodontic treatment need based on OI. (p<0.001). 
Conclusions: The results of our study revealed that both indices show that the need for orthodontic treatment is in line with the demand, which could be used for planning public orthodontic and dental services.

Keywords

Malocclusion is a deviation from an ideal occlusion.1 Many of these deviations are normal biologic variations, but some deviations may have a negative effect on the physical and psychological health of patients.2 Some  physical problems that may be caused by malocclusion include tooth and periodontal injuries, dentofacial development anomalies and orofacial functional problems.2

 

 

 

 

Weight

DAI component

6

1. Number of visibly missing teeth (incisors, canines,
and premolars in maxillary and mandibular arch)

1

2. Crowding in incisal segment (0 = no segments crowded,
1 = 1 segment crowded, 2 = 2 segments crowded)

1

3. Spacing in incisal segment (0 = no spacing, 1 = 1 segment
spaced, 2 = 2 segments spaced)

3

4. Midline diastema, in millimetres

1

5. Largest anterior maxillary irregularity, in millimetres

1

6. Largest anterior mandibular irregularity, in millimetres

2

7. Anterior maxillary overjet, in millimetres

4

8. Anterior mandibular overjet, in millimetres

4

9. Vertical anterior open bite, in millimetres

3

10. Anteroposterior molar relationship, largest deviation from
normal either left or right (0 = normal, 1 = ½ cusp mesial or
distal, 2 = 1 full cusp or more mesial or distal)

13

Constant

DAI score

Total

 

                           Table 1. DAI index and its components

 

 

 

 

 

 

 

 

 

EXAMINATION: ITEM AND SCORE

OCCLUSAL SYNDROME

I   &   II

III

A

B

C

D

E

F

G

1. Mixed Dentition Analysis: Not Scored

 

 

 

 

 

 

 

    MOLAR RELATION

Normal

1 side

C to c

2 sides c to c

Or 1 side full cusp

1 side c to c

& 1 side +

2 sides

+

 

 

 

 

 

 

 

 

2. DISTAL

0

1.5

2.2

2.9

3.7

 

 

 

 

 

 

 

3. MESIAL

0

2.0

2.6

2.9

3.7

 

 

 

 

 

 

 

4. If the molar relation is NORMAL or DISTAL. Circle l & ll; if the molar relation is

MESIAL. Circle lll. If lll   is circled all item codes must be entered under lll   .

 

 

 

 

 

 

 

OVERJET

<-3

-3

-2

-1

0

+1

+2

+3

+4

+5

+6

+7

+8

+9

+10

+11

>+11

 

 

 

 

 

 

 

5.

l

&ll

2.2

2.0

1.5

1.4

1.0

0.5

0

0

0.5

0.9

1.1

1.3

1.5

1.7

1.9

2.1

2.3

 

 

 

 

 

 

 

 

l

&ll

4.0

3.5

3.0

2.5

2.1

1.7

0

0

1.1

1.9

2.6

3.4

4.1

4.8

5.6

6.5

7.4

 

 

 

 

 

 

 

6. lll

6.7

6.1

5.9

5.6

3.4

2.2

0

0

0

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

OVERBITE

(IN mm)

(relation of upper incisor to lower)

 

 

 

 

 

 

 

 

<-4

-4to-2

-2 to 0

0 to 1/3

1/3 to 2/3

2/3 to 3/3

3/3

>3/3

 

 

 

 

 

 

 

7.

l

&ll

4.5

4.0

3.5

 

 

 

 

 

 

 

 

 

 

 

 

8.

l

&ll

 

 

 

0

1.3

2.3

3.7

5.0

 

 

 

 

 

 

 

9.

lll

 

 

 

 

0

0.8

1.8

2.7

3.9

 

 

 

 

 

 

 

CONGENITALLY MISSING INCISORS

Number

0

1

2

3 or 4

 

 

 

 

 

 

 

 

 

 

10.   l&ll

Code

0

5.4

6.5

8.0

 

 

 

 

 

 

 

 

 

 

POSTERIOR CROSSBITE

 

 

 

 

 

 

 

Count the number of

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Upper posterior teeth

 

 

 

 

0

1

2

3

4

5

6

7

8

 

 

 

 

 

 

 

Which are BUCCAL to

 

 

l        & ll   (c  to  c)

0

0.7

0.8

1.0

1.1

1.2

1.3

1.4

1.5

 

 

 

 

 

 

 

The lower teeth

 

11.

l      & ll (> c   to   c)

0

1.5

2.0

2.5

3.5

4.0

5.0

 

 

 

 

 

 

 

 

 

 

 

 

 

0

1

2

3

4

5

6

 

 

 

 

 

 

 

 

 

Count the number of

Upper posterior teeth                        12.

l      & ll       (> to c)

0

0.7

0.8

1.0

1.1

1.4

1.6

 

 

 

 

 

 

 

 

 

l      & ll      (> to c)

0

1.5

1.8

2.0

2.5

2.8

3.0

 

 

 

 

 

 

 

 

 

Which are LINGUAL to

13.        

The lower teeth

lll      (> to c)

0

1.2

1.4

1.7

2.0

2.5

3.0

 

 

 

 

 

 

 

 

 

lll      (> to c)

0

2.2

2.4

2.7

3.0

3.5

4.0

 

 

 

 

 

 

 

 

 

POSTERIOR OPENBITE

 

 

 

 

 

 

 

There must be at least two teeth in the

unilateral

bilateral

 

 

 

 

 

 

 

Same quadrant which are in openbite

14.    l & ll

3.9

4.2

 

 

 

 

 

 

 

TOOTH DISPLACEMENT (Remember the tooth displacement rules)

 

Count the number of teeth which are:

 

       Rotated 35-45 or        rotated > 45 or

       Displaced 1.5-2 mm.   ـــــــــــــ + displaced > 2 mm. ــــــــــــ x 2. ــــــــــــــ =Total

(l & ll and lll have

 

 

 

 

 

 

 

the same code)

0

1

2

3

4

5

6

7

8

9

10 or more

 

 

 

 

 

 

 

15. Code the total

0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

8.6

9.3

10.0

 

 

 

 

 

 

 

MIDLINE DIASTEMA (in mm.)

(l   & ll and lll have                                            16.

The same code)

0   to 1

2

3

 4 or more

 

 

 

 

 

 

 

0

0.5

1.0

1.5

 

 

 

 

 

 

 

MIDLINE DEVIATION (in mm.)

(l   & ll and lll have                                            17.

The same code)

0   to 2

3 to  4

5   or more

 

 

 

 

 

 

 

0

0.5

1.5

 

 

 

 

 

 

 

18. TOTAL SCORE FOR THE OCCLUSAL INDEX

 

 

 

 

 

 

 

19. if l & ll ware circled, ADD the HICHEST score (A, B, C, D, E) plus 1/2

     Of the remaining scores

 

 

 

 

 

 

 

20. if lll was circled, ADD the HICHEST score (F or G) plus 1/2 of the

     remaining scores

 

 

 

 

 

 

 

                                                                   

         Table 2. OI index and its components                                                                 

 

 

 

DAI

frequency

percentage

No treatment need

21

18.6

Elective treatment

27

23.9

Desirable treatment

58

51.3

Mandatory treatment

7

6.2

total

113

100.0

 

                                           Table 3. Orthodontic treatment need based on DAI index

 

 

 

OI

frequency

percentage

No treatment need

12

10.6

Elective treatment

22

19.5

Desirable treatment

69

61.1

Mandatory treatment

10

8.8

total

113

100.0

 

Table 4. Orthodontic treatment need base on OI index

 

 

 

 

 

 

 

 

                                  

 

 

 

 

 

Orthodontic treatment demand

frequency

percentage

yes

46

40.7

no

62

54.9

I don’t know

5

4.4

Total

113

100.0

Table 5. Orthodontic treatment demand based on questionnaire

 

 

photography

frequency

percentage

No need

35

31.0

Slight need

45

39.8

Moderate need

22

19.5

Definite need

11

9.7

total

113

100.0

Table 6. Self-assessment of dental attractiveness based on photography

 

 

 

 

 

 

 

 

 

 

 

 

 

 

photography

Total

No need

 

Slight need

Moderate need

Definite need

Subject’s

yes

Count

6

21

12

7

46

Demand for treatment 

 

%

13.0%

45.7%

26.1%

15.2%

100.0%

 

no

Count

28

22

8

4

62

 

 

%

45.2%

35.5%

12.9%

6.5%

100.0%

 

I don’t know

Count

1

2

2

0

5

 

 

%

20.0%

40.0%

40.0%

0.0%

100.0%

Total

 

Count

35

45

22

11

113

 

 

%

31.0%

39.8%

19.5%

9.7%

100.0%

 

                Table 7. Comparison of the demand based on subject’s opinion and photography

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Treatment need based on DAI

Total

No need

Elective treatment

desirable treatment

Mandatory treatment

photography 

No need

Count

13

12

10

0

35

 

 

%

37.1%

34.3%

28.6%

0.0%

100.0%

 

Slight need

Count

5

13

23

4

45

 

 

%

11.1%

28.9%

51.1%

8.9%

100.0%

 

Moderate need

Count

3

1

15

3

22

 

 

%

13.6%

4.6%

68.2%

13.6%

100.0%

 

Definite need

Count

0

1

10

0

11

 

 

%

0.0%

9.0%

91.0%

0.0%

100.0%

Total

 

Count

21

27

58

7

113

 

 

%

18.6%

23.9%

51.3%

6.2%

100.0%

 

Table 8. Comparison of self-assessment (photography) and orthodontic treatment need (DAI)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Treatment need based on OI

Total

No need

Elective treatment

Desirable treatment

Mandatory treatment

photography 

No need

Count

4

13

18

0

35

 

 

%

11.4%

37.1%

51.4%

0.0%

100.0%

 

Slight need

Count

5

6

31

3

45

 

 

%

11.1%

13.3%

68.9%

6.7%

100.0%

 

Moderate need

Count

2

1

17

2

22

 

 

%

9.1%

4.5%

77.3%

9.1%

100.0%

 

Definite need

Count

1

2

3

5

11

 

 

%

9.1%

18.2%

27.3%

45.5%

100.0%

Total

 

Count

12

22

69

10

113

 

 

%

10.6%

19.5%

61.1%

8.8%

100.0%

 

Table 9. Comparison of self-assessment (photography) and orthodontic treatment need (OI)

 

 

 

 

 

 

Chart 1. Chart 1. Comparison of DAI and OI index

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Questionnaire:

Socio demographic data:

Subject Number:

Date of birth:

Sex:

Address:

Father’s occupation:

Mother’s occupation:

Knowledge about orthodontics:

-Have you ever seen someone with braces or heard about a treatment to straighten teeth?

Yes                         No

-Do you feel your teeth need such a treatment?

Yes                         No                     I don’t know

Patient’s assessment of orthodontic aesthetic attractiveness: aesthetic component (AC)

Here is a scale of 10 photographs of teeth showing different levels of attractiveness. Photo number 1 is considered the most attractive and photo number 10 the least attractive. (9)

Where would you put your teeth on this scale?

1 and 2: no need

3 and 4: slight need

5 ,6 and 7: moderate need

8, 9 and 10: definite need

 

   Figure 1        the aesthetic component (AC) of IOTN (Brook and Shaw)

 

 

 

 

Orthodontic treatment demand suggests that one should receive orthodontic care, which can be measured qualitatively by giving a standard questionnaire to patients.3

 

There is an element of IOTN (Index of orthodontic treatment need) that has been used for evaluating aesthetic treatment need. This component is called the aesthetic component (AC), which includes 10 standard photographs categorized into 4 grades.4

There are orthodontic treatment indices that are used worldwide. In this study, we used Dental Aesthetic Index (DAI) and Occlusal Index (OI) in order to measure the orthodontic treatment need in the dental students of Shiraz University of medical sciences.

 

Dental Aesthetic Index was introduced by Cons et al. in 1986. This index uses clinical, objective and subjective aesthetic factors to measure orthodontic treatment need and the severity of the problem.5 This index is considered to be reliable. There are 10 occlusal traits in this index that measure the need for orthodontic treatment and the final results are categorized into 4 levels of malocclusion.6

 

The occlusal index includes 9 measurements7: dental age, molar relationship, overbite, over jet, posterior cross bite, posterior open bite, tooth displacement or rotation, midline relations and missing maxillary permanent incisors. The score then will be categorized into 5 levels.

 

The aim of the present study was to clarify the relationship between the orthodontic treatment need and demand in the dentistry students of Shiraz University of Medical Sciences and to design a plan for predicting orthodontic treatment need in the society.

  1. Materials and Method:

This cross-sectional study evaluated the orthodontic treatment need and demand in the dentistry students of Shiraz University of Medical Sciences. First to third year student were asked to enter to study. All students received written information about the study. The study was approved by the Research and Ethics Committee, faculty of Dentistry, Shiraz University of Medical Sciences, Iran. The ethics code for this study was Ir.sums.rec.1397.820.

 

A total of 113 students were selected randomly, with an average age of 20 years. Sample size was determined assuming a true correlation of 0.20 to be detected (average effect size in social psychological research), with a statistical power of 0.80 and a probability of Type I error (α) of 0.05, a sample size of 94 individuals was required.2 Considering the probability that 20% of the selected individuals will be excluded from the study, 113 were selected as the sample.

 

 

 

Questionnaire Design

 

The participants were asked to complete a standard questionnaire modified from a French article,1 which was composed of 3 sections:

-The first section included basic demographic information including age and gender.

-The second section included yes or no questions evaluating patient’s information about orthodontic treatment and asking them if they think they needed to receive orthodontic treatment.

- In the third section, dental aesthetics were assessed using the IOTN AC.4 The subjects were presented with 10 photographs of anterior teeth displaying varying degrees of malocclusion, and were asked to indicate which photograph is most similar to their own dentition (Fig.1).

Two occlusal indices were used to assess the need for orthodontic treatment of the target population. These included the Dental Aesthetic Index6 and Occlusal Index7.

DAI was introduced by Cons et al. in 1986, it links objective, clinical, and subjective aesthetic factors to produce a single score that reflects the severity and the treatment needs of the malocclusion. It evaluates 10 occlusal characteristics: missing incisors, canine or premolar teeth (upper and lower), crowding in the anterior segment, spacing in the incisal segment, midline diastema in mm, the largest anterior irregularity in maxilla (mm), the largest anterior irregularity in mandible (mm), anterior maxillary over jet (mm), anterior mandibular over jet (mm), anterior open bite (mm) and antero-posterior molar relation.6 All of these characteristics were measured by clinical exams and using dental models.

The final DAI scores were categorized in 4 levels of malocclusion severity: a score lower than or equal to 25 (no or slight treatment need), a score between 26 and 30 (elective treatment), a score between 31 and 35 (treatment highly desirable) and a score greater than 36 (treatment mandatory)6 (Table 1).

OI index evaluated 9 dental characteristics: dental age, molar relationship, overbite, over jet, posterior cross bite, posterior open bite, tooth displacement or rotation, midline relations and missing maxillary permanent incisors. These characteristics were measured by clinical exams and dental cast analysis7 (Table 2).

 

Statistical analysis

 

In this research, for the analysis of the collected data, descriptive statistics were first described and dictated by the data. Descriptive data was presented briefly and categorized. Then, considering that the variables of the research were of a qualitative type, in order to investigate the relationship between the need and demand for treatment based on the DAI and OI indices, consensus tables and Chi-square test were used. All calculations were performed using SPSS 23 software, and the level of significance was set at 0.05.

 

 

RESULTS:

In this study, 113 students of Shiraz University of Medical Sciences with the age range of 18 to 22 were examined. 48 of the subjects (42.5%) were male and 65 of (57.5%) were female.

The need for orthodontic treatment according to the DAI index is shown in table 3. 18.6% of the subjects did not require any orthodontic treatment, 23.9% needed elective treatment, for 51.3% of the subjects, treatment was highly desirable and for 6.2% of the subjects, treatment was mandatory.

The need for orthodontic treatment according to the OI index is shown in table 4.10.6% of subjects didn’t need orthodontic treatment.19.5% needed minor treatment, 61.1% of subjects needed definite treatment and 8.8% had the worst occlusion.

The demand for treatment according to the questionnaire’s results is shown in table 5. 40.7% of the subjects demanded orthodontic treatment.

Table 6 depicts the self-assessment of dental attractiveness according to the chosen photographs of the Aesthetic Component of IOTN. 31 % of the subjects did not need any orthodontic treatment. 39.8% had a slight need, 19.5% had a moderate need and 9.7% definitely needed treatment. According to Table 5, most of the subjects who did not demand any treatment based on the photographs they had chosen (45.2%), did not need treatment. However, 45.7% had a slight need and 26.1% had a moderate need for treatment (χ2=15.768, p=0.015).

 

The relationship between the need for orthodontic treatment according to the DAI index and the demand are shown in Table 6. For most of the subjects who had chosen photographs with a moderate need (22 of them) and definite need (11 of them), treatment was desirable according to the DAI index and few of them (13.6%) needed definite treatment. Additionally, subjects who had chosen no need for treatment according to their chosen photographs (37.1%) did not need treatment based on the DAI index. Subjects who had chosen photographs with a slight need (51.9%), required desirable treatment according to the DAI index (χ2=22.171, p=0.008).

 

The relationship between the need for orthodontic treatment according to the OI index and the demand are shown in Table 7. Subjects who had chosen photographs needing no treatment, as well as 68.9% of those who had chosen slight need photographs, needed definite treatment according to the OI index. Also, 77.3% of subjects who had chosen moderate need photographs needed definite treatment according to the OI index. 45.5% of subjects who had chosen definite need photographs had the worst occlusion (χ2=33.099, p<0.001).

 

In order to compare the two OI and DAI indices, the Mann-Whitney test was used to determine the quality of the data. The results of the test depicted that at the 95% confidence level, the need for treatment based on these two indices did not have a significant difference (p=0.12) (Table 8).Chart 1 shows the need for treatment comparing these two indices.

 

Discussion:

In the epidemiological studies of malocclusion, giving accurate and reliable information about the need for orthodontic treatment is crucial. The resulting data can be used to affect the policies in health care systems and influence resource planning, as well as to evaluate the effectiveness of orthodontic care services. Orthodontic treatment indices provide descriptive information on the distribution of population needs (epidemiological use) and the priority for treatment (use in health care management)8,9.

 

In this study, DAI and OI indices were used to evaluate orthodontic needs in the population and to understand the need for treatment in a group of dentistry students in Shiraz University of Medical Sciences. Since learning specialized dental courses might have affected the demand for orthodontic treatment in dental students, students of first to third year were included in this study since the specialized dentistry courses have not yet began during this period.

 

Although the OI index has been shown to have advantages such as low error, relevance to clinical findings, and reliability and validity of outcomes over time, this index also has shortcomings10.

The OI index does not prioritize cases with molar relationships which are a complete class I, although this may be fully consistent with static and functional obstructions. This index does not favor missing teeth, except for the upstream teeth in which closure of the preoperative orthodontic spaces may be required that in turn results in underestimating the need for treatment. The guide is also long and complex and may be hard to compute in field studies11.

Dental Aesthetic Index (DAI) assesses the relative social acceptance of a dental appearance based on a general understanding of the aesthetics of the teeth. This index is used in epidemiological studies in order to identify the need for orthodontic treatment, and as a screening tool for determining the priority of treatment. Like the OI, DAI has also been used to evaluate health standards. Although the DAI has several limitations (it does not include cases with cross-bite, posterior open bite, midline discrepancies and deep overbite), simplicity, reliability, and reuse and the easy re-production of data have promoted its use as an agreed orthodontic indicator12.

Al-Zubair et al. (2015) conducted a study on students' self-assessment of dental attractiveness based on 10 photographs and the demand for orthodontic treatment. The results of the study showed that 65.5% of the subjects were satisfied with the appearance of their teeth, while 96.4% of the subjects did not require orthodontic treatment according to the questionnaire13.

Overall orthodontic treatment need based on the DAI index is 81.4%, based on the OI index, it is 89.4% in the current study, and the demand for orthodontic treatment is 69%.

There was a significant relationship between self-assessment based on photographs and need for treatment based on the DAI index. There was also a significant relationship between self-assessment based on photographs and need for treatment based on the OI index.

Generally, self-assessment of people of the appearance of their teeth is different from the professional assessment. This is due to the fact that professional practitioners examine all aspects of the dentition, including missing teeth, interdental spacing, cross-bite, over jet and open bite. Meanwhile, self-assessment measures only the attractiveness of the appearance of the anterior teeth in the smile. On the other hand, the patient may have a better understanding of the demand for orthodontic treatment after seeing photographs in the photographic index. This could indicate a greater association between the photographic index and the orthodontic index in our study13.

In the 2007 study, Danaei et al. examined the orthodontic need of adolescents from state-run high schools in Shiraz. A random sample of 900 students (450 boys and 450 girls) age between 12 and 15 who had received no orthodontic treatment before or during the study were randomly selected in 2 months in 2004. Most of the students (70.1%) had normal or partial malocclusion, indicating no need for orthodontic treatment. Only 4.2% had severe malocclusion, requiring treatment. Excessive and severe malocclusion scores were higher in boys than in girls. Also, comparison with other populations showed that the population studied in Shiraz had a better appearance of the teeth and less need for orthodontic treatment than other populations14.

In a 2010 study by Eslamipourl  et al.15, using stratified sampling method in public and private schools in Isfahan, 748 subjects were studied and divided into three age groups of 11-14 years old, 14 to 17 years old And 17 to 20 years old (355 women and 393 men, 15.11 ± 2.23 years). Of these, 20 had a history of orthodontic treatment. DAI scores were recorded in subjects without a history of orthodontic treatment (728, 340 women, and 388 men). The average DAI score was 26.14 points. In general, 54.5% did not require treatment. In 23.6%, treatment was considered to be selective. However, in 11.0%, treatment was very desirable and 10.9% had severe malocclusion and treatment was essential. Considering the needs for treatment, there was a significant difference between the sexes but there was no significant difference between the different age groups according to the DAI treatment groups. According to the findings of this study, 21.8% of evaluated Iranian students had a score of DAI higher than or equal to 31 points, indicating that the need for orthodontic treatment is highly desirable or compulsory.

Some studies, like our study, showed that there is a meaningful relationship between the DAI Index and the individual's satisfaction with the appearance of the teeth.

According to a systematic review by Eslamipour et al.16, The need for orthodontic treatment in Iran based on DAI has a prevalence of about 16%. Asian studies according to DAI, reported 12.8% and 24.1% in orthodontic treatment in India and Malaysia, which is relatively close to the results in Iran. In a survey of a population of 165 students in Yemen, using the AC of the IOTN index, which evaluated personal evaluation of tooth appearance, orthodontic treatment and functional disorders, 3.6% of the people had average or high demand for orthodontic treatment. Of all the individuals, 96.4% mentioned that they did not need orthodontic treatment. Also, 65.5% of respondents were satisfied with the appearance of their teeth. In African countries, the prevalence is 44.7%. In the Studies show that the prevalence in Brazil is 32.8%, which is higher than in Iran17-19.

The conclusion of previous studies in Iran has shown that the majority of the Iranian population are classified in the group without the need for orthodontic treatment. According to DHC, about a quarter of the population has criteria for orthodontic treatment, but using DAI, less than one quarter (16%) of the subjects need orthodontic treatment. If AC score is used as an indicator of their understanding, the need for treatment among people will be reduced to 5%. It has also been shown in general that the Iranian population needs more orthodontic treatment than they may think, but most are pleased with the appearance of their teeth and consider themselves attractive based on their dental appearance20.

In this study, the data were analysed in both groups of males and females. However, since there was no significant difference between these two groups and due to the high volume of data, the results of these analyses are not given in the article.

It is suggested that a larger-scale study be conducted in the future, as well as the same study in the students stdying from the third year onwards, to determine the impact of dental training on the demand for orthodontic treatment.

 

Conclusion:

 

Both DAI and OI have reported the need for orthodontic treatment in the studied population almost identically.

The need for treatment was estimated 81.4-89.4% in the population, while the demand was 69%, which indicates that the subjects were more tolerant about their teeth unattractiveness and they had less need for orthodontic treatment.

The degree of correlation between the demand and need according to the DAI index was higher in subjects without the need for treatment and need for desirable treatment. The degree of correlation between the demand and need according to the OI index was higher in subjects with desirable treatment need and definite treatment need.

 

Acknowledgments:

The authors thank the Vice-Chancellor of research in Shiraz University of Medical Sciences for supporting this research (Grant#1396-01-03-15452). This article is based on the thesis by Dr Kimia Beigi. The authors also wish to thank Adele Osareh of the Dental Research Development Center, of the School of Dentistry for the statistical analysis.

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