PREVALENCE OF MALOCCLUSION AMONG YEMENI CHILDREN OF PRIMARY SCHOOLS

Tharwa Ali Mokred AL-Awadi1, Khaled A AL-Haddad1 , Mohammed A Al-labani2,

Hassan Abdulwahab Al-Shamahy3 Hussein M Shaga-aldeen1

1Orthodontics, Pedodontics and Prevention Department Faculty of Dentistry, Sana'a University, Yemen.

2Orthodontics, Pedodontics and Prevention Department Faculty of Dentistry, Sana'a University, Yemen.

3Departement of Basic Sciences, Faculty of Dentistry, Sana’a University, Republic of Yemen.

ABSTRACT

Objective: Malocclusion is every difference in the arrangement of teeth beyond the standard of regular occlusion illustrated by anomalies within the dental arches. The purpose of this study was to measure prevalence of malocclusion between primary school children in Sana’a city Yemen.

Methods: A cross sectional study was conducted on 1079 school children (546 girls and 533 boys), their age ranged from 7 to 12 years old from public and private schools selected randomly in Sana'a City, Yemen. The prevalence of malocclusion was investigated according to age, gender and school type based on Angle's classification.

Results: The study showed that the overall prevalence of malocclusion among school children was 81.1%, in which Class I normal molar association was found only in 18.9% of school children, while Class I malocclusion included the highest percentage of the sample 70.4%, followed by Class II relation 9.5%, and Class III involved only 1.1%. The most prevalent malocclusion trait was spacing 35.7%, whereas the crowding was present in 30.0% of the sample. The deep bite was present in 10.1% followed by anterior crossbite 8.8%, midline diastema 8.6%, anterior open bite 4.5%, posterior crossbite 4.0%, and the least noted malocclusion trait was posterior open bite 0.4%.

Conclusion: In conclusion, there was a high rate of malocclusion in school children and significantly increased with age, class I malocclusion was the most common followed by Class II malocclusion, while Class III was the rear. The most prevalent occlusal problem was spacing, followed by crowding.  Thus, 7-12 year-olds can benefit from interceptive and preventive oral health procedures which may either entirely prevent or reduce the development of serious types of malocclusions afterward in their lives.

Keywords: Malocclusion, prevalence, primary school children, Yemen

INTRODUCTION

Research and study of dental health problems in Yemen are still modest and limited, although there have been studies that have addressed the problems of tooth decay, gum infections, causes for extraction of permanent teeth and prevalence and pattern of third molar impaction in adults and children1,2,3,4,5  but no research has touched upon malocclusion. Malocclusion is a problem of the oral cavity scattered around the world, from which the children and adults suffer, not less important than other oral problems. Although dental malocclusion is not a life-threatening condition6, the poor periodontal conditions7 and impaired mastication8 associated with it provoke the need to explore the prevalence of malocclusion in different age groups. Furthermore, it is one of the most common dental problems, together with dental caries, gingival disease and dental fluorosis9. It is considered as dental public health problem, its impact psychologically and functionally is great, and its prevalence among children is high10. In addition to that, malocclusion is thought to be a risk factor information and progression of dental caries. Since pediatric patients with malocclusion have challenged the ability to practice effective oral hygiene, this may predispose them to malocclusion11. Concerning premature loss of primary teeth, it has been previously stated that the premature loss of primary teeth can affect the normal eruption time of the permanent successors by either retarding or accelerating their emergence12. It is considered a predisposing factor for occlusal and space discrepancies in the mixed and permanent dentitions13. Consistent with the World Health Organization, the main dental problems should be subjected to regular epidemiological evaluations. Knowledge of a population's epidemiological condition is vital for planning and offering prevention and treatment services14. The understanding of the epidemiological status of different characters of malocclusion among the special population is essential for planning the need and provision for orthodontic service to improve the quality of life15. Dental malocclusion prevalence among school children have been reported in most countries of the world. There were few studies on the prevalence of malocclusion in Yemen, and only two studies were conducted in Sana’a City in 2014  by Al-Zubair and Ghandour16, and Al-Zubair and Al- Almulla17. It is clear to see the need to study prevalence of malocclusion  in Yemeni school children during mixed dentition period to provide basic values for preventive measures and then to know and reduce the potential irregularities in the developing dental-facial complex in future. The importance of this study comes from the great effects of malocclusion defects on children's oral, systemic and psychological health.

SUBJECTS AND METHODS

This descriptive cross-sectional study was conducted to measure the prevalence of malocclusion among Yemeni school children of primary schools (Government and private) in Sana'a City, Yemen. A total of 1079 boys and girls aged between 7-12 years old from schools of Sana’a were randomly selected and examined, the schools are located in different regions of the city to avoid having children from the same area.

Table 1: The distribution of school children participants in the study according

to age, gender, school type and district (n=1079)

Variable

Frequency

%

 

Age

7-9yrs

527

48.8

10-12yrs

552

51.2

 

Gender

Boys

546

50.6

Girls

533

49.4

School type

Government

761

70.5

Private

318

29.5

 

 

Districts

Al- Thawrah

669

62.0

 Old Sana'a

170

15.8

Al- Safiah

240

22.2

Mean age ±SD= 9.5±1.7

The data collection was performed by one examiner; the researcher (Tharwa), by using the standard method18. The clinical examination for each child with dental and medical history was formed by simple inspection under adequate light, sometimes if the natural light was insufficient, artificial light from a torch was utilized. All children were examined in a room of the school selected by the principles of the school. Those children who were selected and refused to participate were excluded replaced with new one.

Before starting the study, ethical considerations were taken after the approval of the study by the Faculty of Dentistry in Sana'a University, Yemen. The examination was conducted with permission from the concerned education authorities. Permission was obtained from the office of the region education and the principals of the targeted schools and after obtaining informed consent from parents of the participating children The examination assessed the period of dentition and analysis of occlusal data, by using a separate registration chart designed to record the personal data of the subjects (all information and clinical examination).

Table 2: The prevalence of malocclusion according to age, gender and school type

 

Variable

Malocclusion

Normal

p-value

Frequency

%

Frequency

%

    Age (year)

7 - 9 yrs.

444

84.2

83

15.7

 

0.010*

10 - 12 yrs.

431

78.1

121

21.9

       Gender

Boys

443

81.1

103

18.9

 

0.972

Girls

432

81.1

101

18.9

School type

Government

620

81.5

141

18.5

 

0.624

       Private

255

80.2

63

19.8

         Total (n=1079)

875

81.1

204

18.9

 

* P< 0.05 statistically significant

Statistical Analysis

The data were analyzed by SPSS program (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Aromnk, NY: IBM Corp.) and presented by using tables. Percentage (%) was used to describe the qualitative variables. Chi-square with Yate correction and Fisher tests were used to show the significance of the association between the outcomes at the level of significance less than 0.05 (P).

RESULTS

The results in Table 2 indicate that the prevalence of total malocclusion among school children was 81.1%, and there was significant difference between malocclusion according to age group 7-9 years old (84.2%) and 10-12 years (78.1%). Also a similar prevalence of malocclusion was found in boys and girls, government schools, and private schools (Table 2). The results in (Table 3) indicate that class I malocclusion has the highest proportion of the sample 70.4%, with 73.2% in the 7-9 age group higher than the 10-12 age group (67.8%) (P<0.05). The class II malocclusion was at 9.5%, while the class III had the lowest incidence and was only present in 1.1% of the entire sample.

Table 3: Prevalence of Angle classification according to age, gender and school type

Angle classification

Age (year)

Gender

School type

 

Total

7-9yrs

10-12yrs

Boys

Girls

Government

Private

Freq.

%

Freq.

%

Freq.

%

Freq.

%

Freq.

%

Freq.

%

Freq.

%

Class I normal

83

15.8

121

21.9

103

18.9

101

18.9

141

18.5

63

19.8

204

18.9

Class I

386

73.2

374

67.8

384

70.3

376

70.5

540

71.0

220

69.2

760

70.4

Class II

52

9.9

51

9.2

53

9.7

50

9.4

70

9.2

33

10.4

103

9.5

Class III

6

1.1

6

1.1

6

1.1

6

1.1

10

1.3

2

0.6

12

1.1

P-value

0.085*

0.998

0.666

 

X2

6.24

0.035

1.57

 

* P< 0.05 statistically significant

According to age, there was significant difference with class II malocclusion (P< 0.05). On the other hand, a normal class I occlusion was in 18.9% of the sample. 21.9% were found for age group 10-12 years older more than that of age group 7-9 years (15.8%), also the age difference was significant. The most prevalent malocclusion trait was spacing 35.7%. According to age groups, the highest rate of spacing was found in 7-9 years old 42.0%, comparing to age group 10-12 years old 29.7% (X2=17.76, P<0.001), while non-significant difference of spacing malocclusion was found regarding gender and school type (Table 4). The proportion of school children with dental crowding was 30.0%, with a non-significant difference that in age groups, gender and school type (P > 0.05) (Table 5).

Table 4: Prevalence of spacing according to age, gender and school type and the association of spacing with premature loss of teeth

Variable

Present

Absent

𝒳2

p-value

Freq.

%

Freq.

%

Age (year)

7 - 9 yrs.

221

42.0

306

58.0

 

17.76

 

< 0.001**

10 - 12 yrs.

164

29.7

388

70.3

Gender

Boys

203

37.2

343

62.8

 

1.08

 

0.298

Girls

182

34.1

351

65.9

School type

Government

268

35.2

493

64.8

 

0.24

 

0.622

Private

117

36.8

201

63.2

Premature teeth losing

104

33.5

206

66.5

0.862

0.353

Total

385

35.7

694

64.3

 

** P< 0.001 statistically significant

The most prevalent malocclusion trait was spacing 35.7%, whereas the crowding was present in 30.0% of the sample. The deep bite was present in 10.1% followed by anterior crossbite 8.8%, midline diastema 8.6%, anterior open bite 4.5%, posterior crossbite 4.0%, and the least noted malocclusion trait was posterior open bite 0.4% (Table 6).

DISCUSSION

The prevalence of malocclusion varies from country to country and between different age and nationality groups. Globally, epidemiological studies indicate that the prevalence of malocclusion is between 39% and 93%18. In the present study, malocclusion was demonstrated in 81.1% of the school children. By comparing the result of this study to other studies, there was almost an agreement with the following reported studies14 80.84%,19 86.6%, and20 83.3%. 

Table 5: Prevalence of crowding according to age, gender and school type

Variable

Present

Absent

𝒳2

p-value

Freq.

%

Freq.

%

Age (year)

7 - 9yrs.

163

31.0

364

69.0

 

0.43

 

0.514

10 - 12yrs.

161

29.2

391

70.8

Gender

Boys

155

28.4

391

71.6

 

1.41

 

0.234

Girls

169

31.7

364

68.3

School type

Government

222

29.2

539

70.8

 

0.90

 

0.343

Private

102

32.1

216

67.9

Total

324

30.0

755

70.0

 

Alternatively, this result was slightly higher when compared to Almeida et al.,21 73%, (Reddy et al.,22 52%, Morais et al.,23 78.50%, Disha et al.,24 40.9%, Sultan,25 78.31%, and Yu et al.,26 79.4%. The variation in the prevalence of malocclusion can be attributed to the differences in the age ranges of the populations studied, the number of subjects examined and differences in the registration methods which are probably the most important factors explaining these variations9.

Table 6:  The association of  occlusal  problem with age groups, gender and school type.

 

Variable

Age

Gender

School type

Total

7 - 9 years

10- 12 years

Boy

Girl

Government

Private

Angle classification

Fre

%

Fre

%

Fre

%

Fre

%

Fre

%

Fre

%

Fre

%

 

 

Class1 normal

83

15.8

121

21.9

103

18.9

101

18.9

141

18.5

63

19.8

204

18.9

 

Class I  (malocclusion)

385

73.2

374

67.8

384

70.3

376

70.5

540

71.0

220

69.2

760

70.4

 

Class II

52

9.9

51

9.2

53

9.7

50

9.4

70

9.2

33

10.4

103

9.5

 

Class III

 

6

1.1

6

1.1

6

1.1

6

1.1

10

1.3

2

0.6

12

1.1

Spacing

221

 

42.0

164

29.7

203

37.2

182

34.1

268

35.2

117

36.8

385

35.7

Crowding

163

31.0

161

29.2

155

28.4

169

31.7

222

29.2

102

32.1

324

30.0

Deep bite

45

8.6

46

11.6

53

9.7

56

10.5

83

10.9

26

8.2

109

10.1

Cross-bite(Anterior)

60

11.4

34

6.2

47

8.6

48

9.0

65

8.5

30

9.4

95

8.8

Midline diastema

51

9.7

42

7.6

27

4.9

66

12.4

76

10.0

17

5.3

93

8.6

Open bite(Anterior)

37

7.0

12

2.2

17

3.1

32

6.0

39

5.1

10

3.1

49

4.5

Cross-bite (Posterior)

17

3.2

26

4.7

22

4.0

21

3.9

30

3.9

13

4.1

43

4.0

Open bite(Posterior)

1

 

0.2

 

3

 

0.5

 

1

 

0.2

 

3

 

0.6

 

2

 

0.3

 

2

 

0.6

 

4

 

0.4

 

Regarding gender, no statistical significant difference (P > 0.05) was observed between boys and girls with respect to the prevalence of malocclusion (Table 2), coinciding with Das et al.,27 ; Souza et al.,28; Narayanan et al.,20. According to age groups, the prevalence of malocclusion was more noticeable for the age group 7-9 years compared to the age group 10-12 years, with a statistical significant difference (P < 0.05). This finding is consistent with Morais et al.,23. Variation in malocclusion can appear between age groups due to age and individual differences, or perhaps a shift from Class II malocclusion to the normal occlusion that occurs from the mesial movement of the first molars in the lower jaw where the second primary molars exfoliated25. The prevalence of normal occlusion was found low in the present study (18.9%) comparing with other studies by Alatrach et al.,29 (38.5%), Reddy et al.,22 (48.30%), Al-Zubair and Ghandour,16 (69.4%), and Disha et al.,24 (59.1%). However, this result almost corresponds with the data in some other studies by Souza et al.,28 (22.3%), Morais et al.,23 ( 21.50%), and by Narayanan et al.,20 (16.7%). These disparities between the high malocclusion and low normal occlusion prevalence that was found in this study may explain the low preventive measure and treatment services.

The results of this study showed that Class I malocclusion prevailed over Class II and Class III (Table 3), in agreement with the majority of the previous studies23-28. On the other hand, few  studies by Gonçalves et al.,33;  Freitas et al., 34; and by  Yu et al.,26 emphasized the predominance of Class II, in comparison with relation Class I and Class III. This variation of results may be explained by the regional differences, age and sample size, or by the fact of considering normal occlusion as being Class I and maybe by the diversity of the used methodology26. Furthermore, Class I malocclusion included the highest proportion of the sample 70.4% (Table 3). This finding resembles32 who found that the most common malocclusion was Class I 70.4%.

This finding also coincides with results of other studies, where malocclusion of Class I was found to be the predominant one by Brito et al.,14  (76.7%), Bourzgui et al.31  (61.4%), Narayanan et al.,20  ( 69.8%), and by Sultan,25  (65.87%). In contrary Class I malocclusion in this study was  higher than that found by Souza et al.,28 47.6%, Almeida et al.,21  (55.25%), Romano et al.,19  (55.7%), Reddy et al.,22 (30.3%), Alatrach et al.,29  (30%), and  by Disha et al.,24  (36.4%) studies. In terms of Class II malocclusion, a prevalence of 9.5% was found in the present study. This result is almost similar to the findings of  Narayanan et al.,20 (9.3%) in contrast higher rate of Class II  in that reported by Brito et al.,14 (19.2%), Almeida et al.,21 (38%), Bourzgui et al.,31 (24%), Reddy et al.,22 (13.9%), Sultan,25 (21.93%), and  by Alajlan et al.,32  (21.3%), while our result was higher than that reported by  Disha et al.,24 

(3.9%). On the other hand, Class III malocclusion was found only in 1.1% (Table 3). This result was higher when compared to finding of  Disha et al.,24  0.6%, and lower as compared to that of Souza et al.,28  (8.2%), Brito et al.,14 ( 4.2%), Lux et al.,30 (3%), Almeida et al.,21 (6.75%), Bourzgui et al.,31 (10%), Romano et al.,19 (6.0%), Reddy et al.,22 (7.8%), Alatrach et al.,29 (12%), Narayanan et al.,20 (4.1%),  Sultan,25 (12.18%), Alajlan et al.,32 (8.3%), and by Yu et al.,26 (5.9%). In the present study, the most prevalent malocclusion trait was spacing 35.7% (Table 4). This result higher when compared to Al-Zubair and Al- Almulla17 (25.8%). This large number of school children with spacing is due to the fact that most of them had a premature loss of teeth mostly the primary teeth losing. There was statistic significant difference between the two age groups, which was found higher for age group 7-9 years    old 42.0%, compared to the 10-12 years old 29.7%. By comparing with other studies, this result is much higher than that found by Disha et al.,24 (6.5%) and by Yu et al.,26 (9.5%). The second most common type of malocclusion trait in this study was crowding seen in 30.0% of school children (Table 5). This finding is almost in agreement with that of Almeida et al.,21 (31.59%), Al-Zubair and Ghandour,16 (31.4%), Al-Zubair and Al- Almulla,17 (30.4%), and by Yu et al.,26 (28.4%). However, the number of crowding in this study is much lower than that reported by Souza et al.,28 (49.6%), Brito et al.,14 (45.5%), and by Romano et al.,19 (52.6%).

According to gender, a non-significant difference in crowding was observed (P>0.05) (Table 5). This finding is in agreement with Brito et al.,14, and in disagreement with Souza et al.,28  who found a significant difference between genders (P < 0.05) in which the dental crowding in girls was higher than in boys. On the other hand, the results has shown that there is a higher prevalence of dental crowding for age group 7-9 years old than for age group 10-12 years old (Table 5). This result is in agreement with that found by Morais et al.23. This may be partially explained by the fact that some dental crowding may have, spontaneously, resolved. Mixed dentition crowding, known as temporary primary crowding, may resolve spontaneously during the stage of mixed dentition35,36.

CONCLUSION

There was a high rate of malocclusion in school children and significantly increased with age, class I malocclusion was the most common followed by Class II malocclusion, while Class III was the rear. The most prevalent occlusal problem was spacing, followed by crowding. This study could open the field of specific studies to determine the means for the proper identification, control, and guidance of the environmental factors that could affect the craniofacial structures, which would be the main target of the preventive programs. Thus, 7-12 year-olds can benefit from preventive and interceptive oral health measures, which may totally either prevent or lessen the development of severe forms of malocclusions later in their lives.

AUTHOR'S CONTRIBUTION

This research work is part of a Master's thesis. The candidate is the first author (TAA) to conduct clinical work and thesis. Corresponding author (HAA), second author (KAA) and third author (MAA) supervised the work, revised and edited the thesis draft and the manuscript.

ACKNOWLEDGMENTS

The authors would like to acknowledge Sana'a University, Sana'a, Yemen which supported this work.

CONFLICT OF INTEREST   

No conflict of interest associated with this work.

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