Keywords
malocclusion - dental anomalies - crowding - crossbite - sagittal plane - transversal
plane
Introduction
Malocclusions have negative effects on emotional and social well-being.[1] According to the World Health Organization, malocclusion is one of the most important
oral health problems, after caries and periodontal disease. The prevalence range is
extensive and heterogeneous.[2] There is a higher frequency of dental anomalies among orthodontic patients because
some of the dental anomalies can play a role in the development of malocclusion. Impactions
and supernumerary teeth are the main dental anomalies among the studied orthodontic
patients.[3]
Malocclusion has a multifactorial etiology, being caused by hereditary factors, quality
of life, environmental factors, or a combination of these factors.[2]
[4] Genetically determined factors influence growth and can, therefore, lead to malocclusion.
These influences can be combined with etiological factors such as thumb sucking. When
the child interposes his thumb between the dental arches, it causes the tongue to
move downwards. The tongue does not reach its correct position on the palate, preventing
it from developing transversely.[2] Among the various classes of malocclusion, class II division 2 has displayed a significant
association with dental anomalies.[5]
Despite the high frequency of dental anomalies among orthodontic patients, these factors
are often unacknowledged in clinical orthodontic diagnosis and treatment planning.
So to improve public oral health, it is vital to determine the association of malocclusion
and dental anomalies and help pursue the orthodontic treatment.[6]
[7] Understanding the comparisons and correlations of malocclusion with anomalies will
provide ways for new research, treatment plans, and management of patients.[6]
Although several studies have examined the prevalence and classification of malocclusion,
data are not sufficient. The comprehensive correlations of malocclusions with dental
anomalies such as hypodontia, ectopic eruption, and crossbites were deficient. Moreover,
very limited data are available on the prevalence of malocclusion and associated dental
anomalies in the Kosovan population. To date, no study has evaluated the distribution
of malocclusion types across all three spatial planes, while simultaneously assessing
their association with common dental anomalies in orthodontic patients in Kosovo.
The correlations between the three classes of malocclusion and dental anomalies have
not been investigated in the Kosovan population; hence, the aim of the current study
was to correlate the existence of dental anomalies with different types of malocclusions
as the occurrence of anomalies is common in malocclusion.
Materials and Methods
This retrospective cross-sectional study was performed among 617 patients distributed
among two age groups: below and above 18 years visiting the orthodontic specialty
clinics in Kosovo. Data for the study were taken from the pretreatment diagnostic
records of patients from 2017 to 2023. The following inclusion criteria were incorporated:
archived files, no significant medical and dental history, no extensive restorations
that can hinder the identification of dental anomalies, no previous history of orthodontic
treatment, Albanian patients from Kosovo, and complete dental files including history,
examination, orthopantomogram, and photographs. The exclusion criteria were maxillofacial
trauma, oral pathologies, and diagnosed syndromes. The following occlusal relationships
(regarding Angle's classification) were assessed during the examination of study casts:
molar and canine sagittal relationships and coincidence of incisal midlines. Angle's
classification was considered, and the findings were categorized into class I, II,
and III malocclusion groups. Patients' study models, dental files, and dental radiographs
were investigated to identify the following dental anomalies: any congenitally missing
teeth except third molars (hypodontia), impaction (tooth that remains unerupted after
complete root development), ectopic eruption (tooth erupting in a different position
than usual), and diastema (space between maxillary central incisors). Moreover, malocclusion
in the transverse plane (upper and lower midline, anterior and posterior crossbite),
malocclusion in the vertical plane (a deep bite, an open bite), and anterior and posterior
crowding in both jaws were also examined. One operator made all the investigations,
and then they were rechecked by another orthodontic expert.
Data analysis was done by SPSS 16.0 software (SPSS Inc., Chicago, Illinois, United
States). Descriptive statistics, along with frequency and prevalence, were performed.
The chi-squared test was used to investigate whether the distribution of the patients
with dental anomalies differed between the three classes of malocclusion. The level
of significance for each comparison was calculated using the Bonferroni correction.
The level of chi-squared test significance was set at p < 0.05.
Results
The results focus on the gender-based analysis and the associations of dental planes
with specific dental conditions. [Table 1] shows the distribution of dental characteristics by gender reveals. The distribution
of dental characteristics by gender and age shows that a higher percentage of individuals
over 18 years old are present in both females (83.6%) and males (81.3%), compared
with those 18 and younger (16.4% females, 18.8% males).
Table 1
Distribution of dental characteristics by gender
Age
|
Female
|
Male
|
Total
|
N
|
%
|
N
|
%
|
N
|
%
|
≤ 18
|
62
|
16.4
|
45
|
18.8
|
107
|
17.34
|
> 18
|
315
|
83.6
|
195
|
81.3
|
510
|
82.66
|
Association in sagittal plane
|
N
|
%
|
N
|
%
|
N
|
%
|
Class I
|
172
|
45.6
|
103
|
42.9
|
275
|
44.57
|
Class II
|
143
|
37.9
|
83
|
34.6
|
226
|
36.63
|
Class III
|
62
|
16.4
|
54
|
22.5
|
116
|
18.80
|
Associations in transversal plane
|
Associations in transversal plane – Upper mid
|
Right
|
36
|
9.5
|
16
|
6.7
|
52
|
66.67
|
Left
|
17
|
4.5
|
9
|
3.8
|
26
|
33.33
|
Associations in transversal plane – Lower mid
|
Right
|
9
|
2.4
|
9
|
3.8
|
18
|
38.30
|
Left
|
17
|
4.5
|
12
|
5.0
|
29
|
61.70
|
Associations in transversal plane – Anterior crossbite
|
Yes
|
56
|
14.9
|
45
|
18.8
|
101
|
16.37
|
No
|
321
|
85.2
|
195
|
81.3
|
516
|
83.63
|
Associations in transversal plane – Posterior crossbite
|
Yes
|
64
|
17.0
|
37
|
15.4
|
101
|
16.37
|
No
|
313
|
83.0
|
203
|
84.6
|
516
|
83.63
|
Association in vertical plane
|
Association in vertical plane – Deep bite
|
Yes
|
114
|
30.2
|
76
|
31.7
|
190
|
30.79
|
No
|
263
|
69.8
|
164
|
68.3
|
427
|
69.21
|
Association in vertical plane – Open bite
|
Yes
|
60
|
15.9
|
28
|
11.7
|
88
|
14.26
|
No
|
317
|
84.1
|
212
|
88.3
|
529
|
85.74
|
Dental anomalies
|
Dental anomalies – Hypodontia
|
Yes
|
46
|
12.2
|
33
|
13.8
|
79
|
12.80
|
No
|
331
|
87.8
|
207
|
86.3
|
538
|
87.20
|
Dental anomalies – Ectopic
|
Yes
|
98
|
26.0
|
58
|
24.2
|
156
|
25.28
|
No
|
279
|
74.0
|
182
|
75.8
|
461
|
74.72
|
Dental anomalies – Impaction
|
Yes
|
47
|
12.5
|
33
|
13.8
|
80
|
12.97
|
No
|
330
|
87.5
|
207
|
86.3
|
537
|
87.03
|
Dental anomalies – Diastema
|
Divergent
|
8
|
2.1
|
4
|
1.7
|
12
|
1.94
|
Convergent
|
320
|
84.9
|
198
|
82.5
|
518
|
83.95
|
Parallel
|
49
|
13.0
|
38
|
15.8
|
87
|
14.10
|
Anterior crowding
|
Lower arch
|
Yes
|
221
|
58.6
|
119
|
49.6
|
340
|
55.11
|
No
|
156
|
41.4
|
121
|
50.4
|
277
|
44.89
|
Upper arch
|
Yes
|
208
|
55.2
|
135
|
56.3
|
343
|
56
|
No
|
169
|
44.8
|
105
|
43.8
|
274
|
44
|
Posterior crowding
|
Lower arch
|
Yes
|
51
|
13.5
|
44
|
18.3
|
95
|
15.40
|
No
|
326
|
86.5
|
196
|
81.7
|
522
|
84.60
|
Upper arch
|
Yes
|
43
|
11.4
|
33
|
13.8
|
76
|
12.32
|
No
|
334
|
88.6
|
207
|
86.3
|
541
|
87.68
|
In the sagittal plane, the majority of both females (45.6%) and males (42.9%) belong
to class I. However, males have a higher proportion of class III (22.5%) compared
with females (16.4).
In the transversal plane, the upper midline is predominantly on the right side for
both genders, with females (9.5%) showing a higher percentage than males (6.7%). For
the lower midline, both genders show a similar distribution, but a slightly higher
percentage of males (5%) compared with females (4.5%) have the left side alignment.
Regarding anterior crossbite, both genders exhibit a majority without the condition
(85.2% of females and 81.3% of males), but more males (18.8%) have anterior crossbite
than females (14.9%). A similar trend is observed in posterior crossbite, where males
(15.4%) exhibit a slightly higher frequency compared with females (17%).
The vertical plane analysis indicates that deep bite is more common in males (31.7%)
than females (30.2%), though the difference is minimal. In contrast, females have
a slightly higher occurrence of open bite (15.9%) compared with males (11.7%).
Regarding dental anomalies, hypodontia affects a higher percentage of males (13.8%)
compared with females (12.2%). In contrast, the distribution of ectopic and impaction
anomalies is fairly balanced between genders, with a slightly higher prevalence in
females. Finally, for crowding, both males and females exhibit similar trends, with
a higher percentage of females experiencing anterior crowding in both the lower (58.6%)
and upper arches (55.2%).
In the sagittal plane and upper midline (transversal plane), the distribution of upper
midline alignment (right vs. left) across sagittal classes shows no significant association
(Pearson's chi-square = 3.252, p-value = 0.197). While class I predominates in both the right (17) and left (14) midline
positions, class II and class III show varying distributions, but none of these differences
are statistically significant, as shown in [Table 2].
Table 2
Association of sagittal and transversal planes with dental conditions
Association in sagittal plane
|
Association in transversal plane – Upper mid
|
Right
|
Left
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
3.252
|
0.197
|
Class I
|
17
|
|
14
|
|
Class II
|
24
|
|
8
|
|
Class III
|
11
|
|
4
|
|
|
Association in transversal plane – Lower mid
|
Association in sagittal plane
|
Right
|
Left
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
2.833
|
0.243
|
Class I
|
10
|
|
9
|
|
Class II
|
6
|
|
14
|
|
Class III
|
2
|
|
6
|
|
Association in sagittal plane
|
Association in transversal plane – Anterior crossbite
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
358.818
|
0.001
|
Class I
|
9
|
|
266
|
|
Class II
|
5
|
|
221
|
|
Class III
|
87
|
|
29
|
|
|
Association in transversal plane – Posterior crossbite
|
Association in sagittal plane
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
16.569
|
0.001
|
Class I
|
42
|
|
233
|
|
Class II
|
52
|
|
174
|
|
Class III
|
7
|
|
109
|
|
Note: The level of chi-squared test significance was set at p < 0.05.
In the sagittal plane and lower midline (transversal plane), the lower midline alignment
also reveals no significant association with the sagittal plane (Pearson's chi-square = 2.833,
p-value = 0.243). Similar to the upper midline, class I and class II tend to be more
balanced between right and left, with class III showing the least occurrence in both
positions, as shown in [Table 2].
In the sagittal plane and anterior crossbite (transversal plane), significant association
is observed between the sagittal plane and anterior crossbite (Pearson's chi-square = 358.818,
p-value = 0.001). Class I has the highest occurrence of no anterior crossbite (266
cases), while class III shows a substantial shift, with 87 cases of anterior crossbite
compared with only 29 cases without.
In the sagittal plane and posterior crossbite (transversal plane), a similar significant
association is seen between the sagittal plane and posterior crossbite (Pearson's
chi-square = 16.569, p-value = 0.001). The data presented in [Table 2] indicates that class I and class II have a higher percentage of no posterior crossbite,
while class III has a greater percentage of posterior crossbite.
In vertical plane, significant association is found between the sagittal plane and
deep bite (Pearson's chi-square = 147.523, p-value = 0.001). Class I malocclusion shows the highest frequency of no deep bite
(225 cases), while class II also shows a substantial number of patients with deep
bite (135 cases), and class III shows the least prevalence of deep bite (5 cases).
[Table 3] indicates a clear correlation between class II malocclusion and the presence of
deep bite, with class III showing the least occurrence. In vertical plane, the association
between the sagittal plane and open bite is not statistically significant (Pearson's
chi-square = 4.812, p-value = 0.090).
Table 3
Association of sagittal and vertical planes with bite conditions (deep bite and open
bite analysis)
Association in sagittal plane
|
Association in vertical plane – Deep bite
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
147.523
|
0.001
|
Class I
|
50
|
|
225
|
|
Class II
|
135
|
|
91
|
|
Class III
|
5
|
|
111
|
|
|
Association in vertical plane – Open bite
|
Association in sagittal plane
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
4.812
|
0.090
|
Class I
|
31
|
|
244
|
|
Class II
|
41
|
|
185
|
|
Class III
|
16
|
|
100
|
|
[Table 4] shows that the association between the sagittal plane and hypodontia is not statistically
significant (Pearson's chi-square = 0.330, p-value = 0.848). While the association between the sagittal plane and ectopic is marginally
not significant (Pearson's chi-square = 4.261, p-value = 0.119), there is a noticeable trend where class I shows the highest frequency
of ectopic eruptions (74 right-sided and 201 left-sided cases), followed by class
II and class III.
Table 4
Association of sagittal plane with dental anomalies (hypodontia, ectopic, impaction,
and diastema)
Association in sagittal plane
|
Dental anomalies – Hypodontia
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
0.330
|
0.848
|
Class I
|
33
|
|
242
|
|
Class II
|
31
|
|
195
|
|
Class III
|
15
|
|
101
|
|
|
Dental anomalies – Ectopic
|
Association in sagittal plane
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
4.261
|
0.119
|
Class I
|
74
|
|
201
|
|
Class II
|
47
|
|
179
|
|
Class III
|
35
|
|
81
|
|
Association in sagittal Plane
|
Dental anomalies – Impaction
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
1.118
|
0.572
|
Class I
|
40
|
|
235
|
|
Class II
|
26
|
|
200
|
|
Class III
|
14
|
|
102
|
|
The association between the sagittal plane and impaction is also not statistically
significant (Pearson's chi-square = 1.118, p-value = 0.572). The distribution of impaction in the sagittal classifications appears
somewhat similar, with no distinct trend emerging across the groups as shown in [Table 4].
[Table 5] shows that the association between the sagittal plane and anterior crowding in the
upper arch is statistically significant (Pearson's chi-square = 14.731, p-value = 0.001). Class I again shows the highest proportion of individuals with crowding
(162 yes, 113 no), followed by class II (135 yes, 91 no) and class III (46 yes, 70
no). The significant p-value suggests that anterior crowding in the upper arch is strongly associated with
the sagittal plane, with class I individuals being most affected.
Table 5
Association of sagittal plane with anterior crowding in upper and lower arches
Association in sagittal plane
|
Anterior crowding – Lower arch
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
5.317
|
0.070
|
Class I
|
160
|
|
115
|
|
Class II
|
127
|
|
99
|
|
Class III
|
53
|
|
63
|
|
|
Anterior crowding – Upper arch
|
Association in sagittal plane
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
14.731
|
0.001
|
Class I
|
162
|
|
113
|
|
Class II
|
135
|
|
91
|
|
Class III
|
46
|
|
70
|
|
[Table 6] shows that the association between the sagittal plane and posterior crowding in
the lower arch is not statistically significant (Pearson's chi-square = 0.264, p-value = 0.876). The distribution of individuals with posterior crowding in the lower
arch is similar across the sagittal classifications, with class I showing 41 yes and
234 no, class II with 37 yes and 189 no, and class III with 17 yes and 99 no.
Table 6
Association of sagittal plane with posterior crowding in upper and lower arches
Association in sagittal plane
|
Posterior crowding – Lower arch
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
0.264
|
0.876
|
Class I
|
41
|
|
234
|
|
Class II
|
37
|
|
189
|
|
Class III
|
17
|
|
99
|
|
|
Posterior crowding – Upper arch
|
Association in sagittal plane
|
Yes
|
No
|
Pearson's chi-square
|
p
-Value
|
N
|
%
|
N
|
%
|
0.353
|
0.838
|
Class I
|
32
|
|
243
|
|
Class II
|
28
|
|
198
|
|
Class III
|
16
|
|
100
|
|
Discussion
Extensive research on the prevalence and association of dental anomalies has been
performed, but a specific focus on gender and age-based analysis and the relationship
of dental planes with specific conditions remains limited. This study focuses on estimating
how gender and age influence the distribution and correlation of dental characteristics
across sagittal, transversal, and vertical planes. Gender-based comparative studies
were included to understand biological differences, such as genetic and hormonal influences,
that affect males and females differently.
Our findings demonstrated that there are some gender differences across various dental
characteristics. The variations are mostly modest, with females showing slightly higher
prevalence in anterior crowding, while males have higher occurrences of posterior
crowding and certain anomalies like hypodontia and anterior crossbite.
It was noted in this study that there are more females in the ≤ 18 age group, while
the > 18 group has a higher total representation in both genders. A review was done
by De Ridder et al,[8] in which the prevalence of malocclusion and different orthodontic features in children
and adolescents was reviewed.
Gender-based hormonal differences influence dental anomalies, with male hormones like
growth hormones and insulin-like growth factor-1 playing a significant role. These
hormones are directly related to structural development. Female hormones like estrogen
and progesterone primarily affect gingival and periodontal tissues. A latest study
in 2023[9] found 33% of children with growth hormone deficiency developed dental anomalies.
Our findings suggest that the prevalence of dental anomalies can vary by gender and
population.
The prevalence of class I, II, and III malocclusions were 51.9, 23.8, and 6.5%, respectively,
with the anterior crossbite rate at 7.8% and posterior crossbite rate at 9.0%. The
prevalence of malocclusion and orthodontic features varies significantly across studies
due to inconsistent methodologies. In another study, highest form of malocclusion
was class I followed by class II subdivision.[10] In our study, ectopic eruption was the most common dental anomaly, which is opposite
to the study conducted in India where rotated teeth was the most common dental anomaly
in pretreatment orthodontic patients and another study in Iran where hypodontia was
the most common dental anomaly.[11]
[12]
In exploring the association of sagittal and transversal planes with dental conditions,
our study found no significant associations for both upper and lower midlines. Class
I malocclusion was predominant in both the right and left midline positions; however,
classes II and III showed diverse distributions with no statistical significance.
Contrarily, a significant correlation was seen between the sagittal plane and anterior
crossbite with class III malocclusion particularly associated with anterior crossbite.
Similarly, a significant association was seen between the sagittal plane and posterior
crossbite, where class III malocclusion showed a higher prevalence of posterior crossbite.
These findings align with the study of Iodice et al,[13] which reports associations between posterior crossbite and asymmetries in mandibular
growth and muscle activity.
According to our current study there is a significant association between sagittal
classifications and deep bite malocclusion. Class I malocclusion showing the highest
frequency of no deep bite, class II exhibiting a substantial number of patients with
deep bite, and class III showing the least prevalence of deep bite. However, the association
between sagittal classifications and open bite was not statistically significant.
This is similar to the previous study of Rasol et al,[14] who stated that class II malocclusion was significantly associated with deep bite,
while association of class III malocclusion with deep bite was less frequent. Moreover,
Brown et al[15] reported that open bite malocclusion was not significantly associated with sagittal
classification, supporting our data that open bite is not greatly influenced by sagittal
classification.
This study revealed that the dental anomalies of hypodontia, ectopic eruption, impaction,
and diastema occur independently of sagittal malocclusion types, as no statistically
significant associations were seen between sagittal classifications and the dental
anomalies. These findings are consistent with existing literature presented by the
American Academy of Pediatric Dentistry's guidelines, which indicate that dental anomalies
like hypodontia and ectopic eruption may occur among different malocclusion types.[16] They contrast with the findings of the research by Selmani et al,[17] which suggested an association between third molars and anterior segment crowding.
No statistically significant relationship was observed between the sagittal plane
and anterior crowding in the lower arch. While class I shows the highest number of
individuals with crowding followed by class II and class III, the p-value indicates that these differences are not statistically significant, revealing
contrasting associations. In contrast, the association between the sagittal plane
and anterior crowding in the upper arch was statistically significant. Class I had
the highest crowding followed by class II and class III. The findings reveal that
the anterior crowding in the upper arch is strongly associated with the sagittal plane,
particularly in class I cases. The study of Yuvashree et al[18] aligns with our study revealing class I malocclusion exhibit highest prevalence,
class II noted to be moderate, and class III showed less severe crowding.
Our findings suggest a uniform distribution of posterior crowding across class I,
II, and III malocclusions. Somewhat similar study was done by Crossley et al,[19] who concluded that the size of the mandibular apical base was not related to maxillary
or mandibular crowding.
Conclusion
Our study concluded that in Kosovo's population the dental characteristics, including
malocclusions and anomalies, are influenced by a combination of factors rather than
solely sagittal classifications. There was a significant association between sagittal
planes and conditions such as anterior crossbite, posterior crossbite, and deep bite;
however, anomalies like hypodontia, ectopic eruption, and diastema occurred independently
of sagittal classifications. Anterior crowding in the upper arch demonstrated a significant
relationship with sagittal planes, particularly in class I malocclusions, but posterior
crowding showed no such association.