Association of Gender and Filled Tooth Surfaces - An Institutional Study
Sadhvi B1, L. Leelavathi2*, V. Suresh3
1 Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai-600077, Tamilnadu, India.
2 Senior Lecturer, Department of Public Health Dentistry, Saveetha Dental College And Hospitals, Saveetha Institute Of Medical And Technical Sciences, Saveetha University, Chennai-600077, Tamilnadu, India.
3 Reader, Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai-600077, Tamilnadu, India.
*Corresponding Author
L. Leelavathi,
Senior Lecturer, Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University,
Chennai-600077, Tamilnadu, India.
Tel: +91 9443702882
E-mail: leelavathi.sdc@saveetha.com
Received: October 28, 2019; Accepted: November 24, 2019; Published: November 28, 2019
Citation: Sadhvi B, L. Leelavathi, V. Suresh. Association of Gender and Filled Tooth Surfaces - An Institutional Study. Int J Dentistry Oral Sci. 2019;S5:02:0015:82-86. doi: dx.doi.org/10.19070/2377-8075-SI02-050015
Copyright: L. Leelavathi© 2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: Development of caries is multifactorial, depending on how many interacting variables are present. The significant
impact of caries among the world’s population makes the disease an important topic of understanding. In the epidemiological
studies, DMFT and DMFS scores are used to reveal the consistent trend in caries occurrence.
Aim: To reveal the association of gender and filled tooth surfaces using DMFS index that reveals the number of carious tooth
surfaces restored . Materials and methods: A descriptive study was done reviewing patient records from June 2019 to March
2020 and a total of 3082 records were reviewed. Filled tooth surfaces were obtained from Decayed Missing Filled Surface
Index records. Descriptive statistics and chi square tests were done.
Results: Out of the total sample size (3082 cases), 54.1% were males and 45.9 % were females. Distribution of filled tooth
surfaces among the study sample revealed maximum prevalence of 1-32 filled surfaces (50.3%). Distribution of various age
groups showed 18-35 years as the most prevalent age groups.(45.7%). Genderwise distribution of filled surfaces among the
sample revealed that among males, 1-32 filled surfaces were predominant (51.2%) and among females, 0 filled surfaces were
(50.21%). Chi square test between filled tooth surfaces and gender revealed statistically significant difference.
Conclusion: Within the limitations, the results of the present study showed that the filled tooth surfaces were more among
males and among those below 35 years.
2.Introduction
3.Materials and Methods
4.Results
5.Discussion
6.Conclusion
7.References
Keywords
Filled Surfaces; Gender; Age; Predominance; DMFS Index.
Introduction
Dental caries is a highly prevalent worldwide health problem, representing
the most common infectious disease, affecting about
621 million people around the world [1]. The significant impact
of caries on the world’s population makes the disease an important
topic of understanding [2]. Dental caries is a lifetime disease
[3], development of caries is multifactorial, depending on many
interacting variables to promote its development. In particular,
the presence of bacteria which is most commonly streptococcus
mutans [4], a substrate for the bacteria (food/sugars) as nutrition
and health of oral tissues are interdependent [5], the host’s
oral environment as it harbours a wide variety of microbes crucial
for caries initiation and progression [6, 7], as well as the passing
of time are the main contributing factors in the formation
of caries [8]. Using multivariate models, reports from around the
world have established the relative importance of specific factors
to dental caries experience [9]. Among these factors, low income,
deficient oral hygiene, fluorosis , various measures of low socioeconomic
status [10], older age, prior experience of decay in the
primary dentition, especially pit and fissure caries that are approximately
eight times vulnerable than smooth surface caries [11]
,caries experience in the permanent dentition [12], female sex [13],
presence of abnormalities, hypoplasia, or enamel defects , as well
as low level of parental education and cariogenic diet all affect
caries risk [13, 14]. Dentists should be aware of these factors and
should be able to advise patients on how nutrition can improve
their overall quality of life [15]. Apart from these, the pattern of dental caries varies between the primary to permanent dentition;
this difference in caries susceptibility is no doubt related to
differences in tooth morphology [16]. While various descriptive
epidemiological studies of dental caries have been undertaken in
Indian population and no multivariate models were included to
ascertain the relative role of identified caries risk indicators, along
with this, information on caries prevalence and severity forms the
basis for the magnitude and quality of caries prevention programs
and treatment needs in a population [17]. Therefore, a continuous
need remains to field caries prevalence and severity information
as well as the preventive measures such as fluoridation in appropriate
levels [18, 19], fluoride releasing sealants [20] and ensuring
awareness regarding the role of nutrition [6].
In the epidemiology of dental caries, dental researchers exhibit
unparallel fidelity to the DMFT/DMFS index, whose origin dates
back to Klein, Palmer and Knutson, 1938 [12]. The DMFT/
DMFS index counts the total number of decayed (D), missing
(M) and filled (F) teeth/surfaces for the whole mouth. The Decayed,
Missing, Filled (DMF) index has been used for almost 80
years and is well established as the key measure of caries experience
in dental epidemiology [21]. The DMF Index is applied to
the permanent dentition and is expressed as the total number of
teeth or surfaces that are decayed (D), missing (M), or filled (F) in
an individual. When the index is applied to teeth specifically, it is
called the DMFT index, and scores per individual can range from
0 to 28 or 32, depending on whether the third molars are included
in the scoring. When the index is applied only to tooth surfaces
(five per posterior tooth and four per anterior tooth), it is called
the DMFS index, and scores per individual can range from 0 to
128 or 148, depending on whether the third molars are included
in the scoring [22].
When written in lowercase letters, the dmf index is a variation that
is applied to the primary dentition. The caries experience for a
child is expressed as the total number of teeth or surfaces that are
decayed (d), missing (m), or filled (f). The dmft index expresses
the number of affected teeth in the primary dentition, with scores
ranging from 0 to 20 for children. The dmfs index expresses the
number of affected surfaces in primary dentition (five per posterior
tooth and four per anterior tooth), with a score range of 0
to 88 surfaces. Because of the difficulty in distinguishing between
teeth extracted due to caries and those that have naturally exfoliated,
missing teeth may be ignored according to some protocols.
In this case, it is called the df index [23].
There are five surfaces on the posterior teeth: facial, lingual, mesial,
distal, and occlusal. There are four surfaces on anterior teeth:
facial, lingual, mesial, and distal. The list of teeth not counted is
the same as for DMFT calculations, and listing D, M, and F is also
done in a similar way: When a carious lesion or both a carious
lesion and a restoration are present, the surface is listed as a D.
When a tooth has been extracted due to caries, it is listed as an M.
When a permanent filling is present, or when a filling is defective
but not decayed, this surface is counted as an F. Surfaces restored
for reasons other than caries are not counted as an F. The total
count is 128 or 148 surfaces [24].
Previous research by hindawi et al., in 2015 revealed that Systemic
diseases that have been found to be associated with caries have
also been found to have an association with the female gender.
An extended exposure to the oral cavity or a more cariogenic oral microflora has not been proven to contribute to higher caries in
women [25].
Similarly, JR Shafer, in his study, also revealed that Sex disparities
in dental caries have been observed across many populations, with
females typically exhibiting higher prevalence and more affected
teeth [26].
Lukacs and Largaespadaet al in 2006 revealed that along with the
environmental and genetic risk factors ,sex also affects susceptibility
to caries. epidemiological surveys show females at higher
risk with greater numbers of affected tooth surfaces than males
[27].
The DMFS index is an indicator to assess the relationship between
the gender and the filled teeth. The aim of this research
was to reveal the association gender and filled tooth surfaces using
tools such as the DMFS index that reveals the number of
tooth surfaces restored.
Materials and Methods
This Study was carried out in a university setting which consists
of subjects of predominantly South Indian population. Approval
for the study was by the ethical board of Saveetha University.
The study was carried out by 3 authors. The study was done in
2020 in which the patient records from the time period of June
2019 to March 2020 were considered Case sheets reviewed for the
research included all patients applicable for the study and cross
verification of the required samples were done by a reviewing expert
through photographs. Measures were taken to minimise the
sampling bias by including all the available data. Internal validation
was ascertained by the use of a standard index for measuring
dental caries that is Decayed Missing Filled Surface Index. Pros
of this study was availability of secondary data and cons of this
study was that it was an institutional study and hence the results
were not generalisable to the whole population.
The required data for the study was obtained from reviewing patient
records from the patient record management system. The required
data- i.e, the patients for whom DMFS index was recorded
was collected along with the required parameters such as gender
and age and entered in a methodical manner in an excel sheet for
the tabulation of data and further statistical analysis. Data was
validated by 1-2 external reviewers and all the non specific, unclear
or incomplete data were excluded from the study.
Statistical software used for analysis is the SPSS (statistical package
for the social sciences) by IBM and the statistical tests used
were chi square tests, custom tables, frequency tables, bar graphs
to analyse and compare the obtained results. The type of analysis
performed was exploratory data analysis. Independent variables
include ethnicity, gender, age and the dependent variables include
the DMFS index.
Results
Gender distribution of the study revealed that out of the total
sample size (3082 cases), 1666 (54.1%) male participants were
there and 1416 (45.9%)females were there depicting male predominance
[Figure 1]. Distribution of filled tooth surfaces among the study sample revealed no filled tooth surfaces among 49.3%
(1518), 1-32 filled surfaces among 50.3% (1549), 33-64 filled surfaces
among 0.3% (10) and 65-96 filled surfaces among 0.2%(5) of
the population. [Figure 2]. Distribution of various age groups for
filled surfaces revealed 18-35 years age group having 45.7%(1410)
filled surfaces, followed by 36-55 years having 43.3% (1335) filled
surfaces and above 55 years having 10.9% (337) filled surfaces
[Figure 3]. Gender wise distribution of filled surfaces among the
sample size revealed that among the Males, 0 filled surfaces were
prevalent among 48.44% (807) of the males; 1-32 filled surfaces
were prevalent among 51.2%(853) of the males; 33-64 filled surfaces
were prevalent among 0.12%(2) of the males; 65-96 filled
surfaces were prevalent among 0.24% (4) of the males; and 97-
128 filled surfaces were prevalent among 0% (0) i.e, none of the
males. Among the Females, 0 filled surfaces were 50.21%(711);
1-32 filled surfaces were 49.15%(696); 33-64 filled surfaces were
0.56%(8); 65-96 filled surfaces were 0.07%(1) and 97-128 filled
surfaces were 0%(0); Chi square test between filled surfaces and
gender - P value < 0.05 (p=0.007) statistically significant [Figure
4].
Figure 4. Association Between Distribution Of Filled Tooth Surfaces And Gender Among The Sample Size.
Discussion
Awareness of dental caries and assessment of filled tooth surfaces
among the Indian population should be an equally important
area of emphasis in community dentistry, like other areas such as
awareness of nicotine replacement therapy for tobacco cessation
[28] and nutritional counselling. India is the second most populous
country in the world and dental surgeons form a significant
source of untapped health resources [29]. Among the oral diseases,
dental caries is the most chronic disease of mankind [30].
If left untreated, it can cause damage upto the pulpal level when
it can be root canal treated [31] and the end stage is the chronic
decay that leads to the loss of the tooth. Filled tooth surfaces thus
is an important parameter to evaluate the filled teeth present in
the oral cavity, that is most likely to be due to caries. Awareness
of the importance of filled tooth surfaces is essential and this can
be done by targeted education programs and through camps and
mass media [32], as the medical and dental negligence is increasing
in India [33].
Genderwise distribution of filled surfaces revealed that the total
filled surfaces among the males was 51.56%; and females was
49.79% thereby showing a male predilection . Supporting our
findings, EK Zorić et al in 2014 showed that Males have greater
number of restorations than females, whereas research by Shaffer,
John & Leslie et al in 2015 revealed that women had more
dental restorations though men had more current decay [26].
Agewise distribution of filled tooth surfaces among the study
sample revealed 1-35 years age group as the predominant population
for filled tooth surfaces. Shaffer, John & Leslie et al., in 2015
revealed that In both women and men, total counts of affected
teeth, attains peak attains peak during 40-60 years of age. B Broffitt
et al., in 2009 showed that 20-40 years has an incidence of
maximum prevalence of filled surfaces [34].
Limitations of the study are the non inclusion of some data that
were unclear of certain reporting parameters. Other limitations
are the Geographic limitations - assessment of predominantly
South Indian population. Further, This study is a Unicentered
study, which is also a major limitation.
Dental caries is a serious public health issue and collecting data on
its prevalence, incidence, and trends is an important field in oral
epidemiology. The DMF index is a standard method for assessing
dental caries experience in populations. While linear increases
in caries with age in both children and adults indicate that caries
affect individuals throughout life, longitudinal surveys indicate a
decline in dental caries experience over the past two decades, yet
dental caries remain a prevalent oral disease among the children
and adults.
Conclusion
Within the limitations, the results of the present study showed
that the filled tooth surfaces were more among males and among
those below 35 years.
Acknowledgement
The authors would like to acknowledge the help and support rendered
by the department of Public Health Dentistry, Information
Technology and the management of Saveetha Dental college and
Hospitals, SIMATS for their constant assistance with the research.
Authors Contribution
Author 1 (Sadhvi B), carried out the retrospective study by collecting
data and drafted the manuscript after performing the
necessary statistical analysis. Author 2 (Dr. Leelavathi) aided in
the conception of the topic, has participated in the study design,
statistical analysis and has supervised in the preparation of the
manuscript. Author 3 (Dr. Suresh.V) has participated in the study
design and has coordinated in developing the manuscript. All the
authors have discussed the results among themselves and contributed
to the final manuscript.
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