ORIGINAL RESEARCH


https://doi.org/10.5005/jp-journals-10062-0148
Journal of Oral Health and Community Dentistry
Volume 16 | Issue 3 | Year 2022

Effectiveness of Dental Education Program on Knowledge and Attitude Regarding Dental Caries and Its Management among School Children from Selected Schools of Kolar


Harish Kumar

ETCM School & College of Nursing, Kolar, Karnataka, India

Corresponding Author: Harish Kumar, ETCM School & College of Nursing, Kolar, Karnataka, India, Phone: +91 9986084710, e-mail: kumar123nsg@gmail.com

How to cite this article: Kumar H. Effectiveness of Dental Education Program on Knowledge and Attitude Regarding Dental Caries and Its Management among School Children from Selected Schools of Kolar. J Oral Health Comm Dent 2022;16(3):119–125.

Source of support: Nil

Conflict of interest: None

Received on: 01 July 2022; Accepted on: 14 September 2022; Published on: 23 March 2023

ABSTRACT

This study was conducted at schools to investigate the prevalence of dental caries and effect of dental education programs on knowledge and attitude regarding dental caries and its management among school children. An evaluative research approach with one-group pre- and post-test design was adopted to collect data. The prevalence of dental caries was determined using the decayed, missing, filled teeth (DMFT)/decayed, missing, filled surface (DMFS) index using the World Health Organization criteria 1997. After obtaining ethical clearance and permission from authorities, children were subjects for dental screening. Mouth mirror, probe, and explorer were used for carrying out the dental examination in the classroom under natural light with the children seated on a stool, followed by administration of dental education program. The prevalence of dental caries among government and private school students is 31 (77.5%), mean DMFT scores are 2.47 with a standard deviation of 2.184, and their mean DMFS scores are 5.38 with a standard deviation of 6.436. Majority of 31 (77.5%) school children were with dental caries and 9 (22.5%) with no tooth decay, the majority (100%) of school children had insufficient knowledge in pre-test, 10% of school children had adequate knowledge on dental caries, and the majority (100%) of school children had an unfavorable attitude toward dental caries in pre-test, 45% had a moderately favorable attitude toward dental caries. The difference in knowledge and attitude about dental caries and its management between post- and pre-test scores among school-aged children was statistically significant. The study’s findings may be utilized to organize a school-based dental program for children and their parents to practice routine oral hygiene and get frequent dental checkups, allowing them to lead a healthier life.

Keywords: Dental caries, Dental education program, DMFT/DMFS, School children.

INTRODUCTION

Dental Caries in Children

Oral health has long been an integral element of overall health and has a significant impact on people’s overall well-being. The formation of a healthy personality, perceptions, and overall enjoyable experience are all linked to the oral cavity. Dental caries and periodontal disease are the two most prevalent oral illnesses, and they commonly start in childhood. Periodontal disorders are the most common illness in the world, according to the World Health Organization. Despite technological breakthroughs, the illness remains a serious public health concern. People who have poor oral hygiene have more restricted activity days than those who do not. Oral disorders cause nearly 50 million school hours to be missed each year, affecting children’s overall performance. In metropolitan India, there is a high frequency of oro-dental disorders, with caries prevalence ranging from 45 to 55%.1

Infections, cosmetic issues, feeding difficulties, linguistic changes, the emergence of malocclusions, and undesirable oral habits, as well as physical, emotional, and financial consequences, are all consequences of caries in children. Low socioeconomic status and low levels of education, poor eating and sanitary habits, medical history, and other variables unique to each individual might influence susceptibility to the disease’s development.2

Early childhood caries is a fast-growing condition that can damage teeth in a short period of time. It can spread to the proximal surfaces, causing irritation, suffering, and possibly affecting the tooth pulp, causing deciduous teeth to fall out prematurely. This damage or early tooth loss is not a serious issue for the child’s parents, mainly because they are unaware of it. As a result, people seldom take the essential precautions to avoid it; as a result, it is not treated in a timely manner, resulting in significant damage to the afflicted areas. It may potentially cause a variety of problems in the baby’s mouth.3

Early childhood caries is a substantial problem in both developed and developing nations, despite the drop in the prevalence of dental caries in children in Western countries.4 The frequency of this form of caries varies widely based on characteristics such as race, culture, and ethnicity; socioeconomic position, lifestyle, food standards, and dental hygiene practices; and a variety of other factors that vary by location. According to a previous study, the incidence rate of early childhood caries ranges from 1 to 12% in most industrialized nations.5 Prevalence has been claimed to be as high as 70% in less developed nations and among disadvantaged populations in industrialized ones, with low socioeconomic groups being more affected.6

A high prevalence has been reported in some Asian countries, such as Palestine (76%) and the United Arab Emirates (74.1%).7,8 In other countries of the continent, an inconsistent prevalence of early childhood caries was found: in India (51.9%) and in Israel (64.7%).9 In addition, the research by Ismail et al.6 found a prevalence of 85.5% in Chinese children in rural areas.4

In the United States, the prevalence was estimated to range between 3% and 6%, which is consistent with the prevalence in other Western countries, noting that the highest prevalence is found in the age group of 3–4 years and boys are significantly more affected than girls, aged between 8 months and 7 years.4,10

Millions of children suffer from dental caries and periodontal disease, which causes pain, difficulties eating, swallowing, and speaking, as well as significant medical costs and missed time. It is vital to analyze oral health in order to design a treatment plan for a dental health program. To evaluate the magnitude of the preventive obligation, it is critical to first understand the severity of the illness.

The district of Kolar is a geographical region situated in the state of Karnataka on the Andhra Pradesh – Tamil Nadu frontier. Many of the people who remain here have a lower socio-economic position. Karnataka’s state has several zones with high drinking water fluoride levels. There are also areas of skeletal and dental fluorosis in the district of Kolar. No current research was done in this area to show the prevalence of dental caries and thus the prevalence of dental caries in the Kolar district school children was determined by a study.

Keeping in mind that the investigator is interested in assessing children who are suffering from dental caries, for this purpose underwent DMFT/DMFS indices in assessing training, so that children can be recognized at an early stage and preventive measures can be implemented, thus reducing the burden of diseases with objectives: (1) to determine the prevalence of dental caries among school children. (2) To examine school children existing knowledge and attitudes on dental caries and its management. (3) To assess the efficacy of dental education program. (4) To compare pre- and post-test knowledge and attitude ratings among school children about dental caries and their management. (5) To determine the association between the pretest knowledge and attitudes scores of school-going children with selected demographic variables.

Research Hypothesis

The hypothesis of this study is as follows:

H01: The mean post-test knowledge scores will not be significantly higher than pre-test scores.

H02: The mean post-test attitude scores will not be significantly higher than pre-test scores.

CONTENTS

Study Design

The current study used an evaluative research technique to analyze the impact of a dental education program on school children’s knowledge and attitudes about dental caries and its management in the Kolar government and private schools. The current study’s aims were met using a one-group pre- and post-test (pre-experimental) design. The independent variable is a dental education program, and dependent variable is the knowledge and attitude of school children regarding dental caries and their management.

Participants

The target population of the present study comprises of school-going children studying at government and private schools of Kolar. By adopting non-probability convenient sampling technique, 40 children from government and private school was used to collect data.

Sample Selection Criteria

Inclusion Criteria

School-going children at government and private schools in Kolar are:

  • Studying at selected government and private schools, Kolar.

  • Between the age group of 6 and 10 years.

  • Willing to participate in the study.

  • Available throughout the study.

  • Able to understand read and write English or Kannada.

Exclusion Criteria

School-going children at government and private schools, Kolar, are:

  • On leave, on the day of data collection.

  • Treatment with dental problems.

  • Suffering from cleft lip and cleft palate.

Selection and Development of the Tool

To find the prevalence of dental caries is: The DMFT/DMFS index was utilized, as well as a structured interview schedule to measure school-aged children’s knowledge of dental caries and its management and an Opinniare – Likert scale to assess school-aged children’s attitude toward dental caries and its management.

Reliability

Structured knowledge questionnaires’ dependability Cronbach’s alpha value of 0.63 (acceptable) and Cronbach’s alpha value of 0.93 for the attitude tool are both outstanding. This means that the tool was trustworthy.

Method of Data Collection

Data were collected from 40 participants after receiving official authorization from the relevant authority. On the first day, each child was examined for dental caries using the DMFT/DMFS index, using the World Health Organization criteria 1997. After obtaining ethical clearance and permission from authorities, children were subject to dental screening. Mouth mirror, probe, and explorer were used for carrying out the dental examination in the classroom under natural light with the children seated on a stool, followed by a structured interview schedule to assess knowledge and attitudes about dental caries and its management. On the same day, the research scholar delivered an integrated awareness session to the participants. Knowledge and attitude were examined after the 7th day of post intervention using the same measure to see if the integrated awareness program had any effect. The sample data was uploaded to an Excel sheet for statistical analysis.

RESULT

The data were analyzed on the basis of the study objectives, using both descriptive and inferential statistics. Findings are organized in the following headings:

Distribution of School Children based on Demographic Variables

The frequency and percent-wise allocation of samples based on demographic characteristics reveal that the bulk of samples are at the age 25% of government school children belong to 10 years of age and 30% of private school children belong to 6 and 8 years of age, respectively (Table 1). Sample distribution depends on the gender majority. Females made up 60% of students in private schools, while males made up 55% of students in public schools. Samples are distributed based on religion. In government schools, 80% of the students were Hindu, whereas, in private schools, 75% of the students were Hindu. In terms of family structure, 95% of children in government schools come from nuclear families, whereas 100% of pupils in private schools come from nuclear families. In terms of family members, 45% of government school students had three family members compared to 45% of private school students who had four. The distribution of samples was dependent on the father’s educational status. In government schools, 30% of fathers finished matriculation, whereas, in private schools, 35% of fathers completed matriculation. According to the distribution of samples depending on the mother’s educational status, 35% of government school children’s mothers finished PUC, whereas 35% of private school children’s mothers completed secondary education. In terms of parent occupation, 35% of government school children’s fathers work in the private sector, whereas 30% of private school children’s fathers work in the private sector. In terms of mother’s profession, 65% of government school children’s mothers work as daily wagers, whereas 60% of private school children’s mothers work as daily wagers. Samples distribution is based on ordinal position majority: Children at government schools were born in the second ordinal position 65% of the time, whereas children in private schools were born in the first ordinal position 40% of the time. According to the distribution of samples based on the area of residence, 70% of government school students were from rural areas, whereas 70% of private school children were from rural areas solely. The majority of students in government schools ate a mixed diet, whereas 85% of children in private schools ate a mixed diet. According to the distribution of samples based on information sources, 70% of government school students received information from instructors, whereas 25% of private school children received information from the media.

Table 1: Distribution of subjects based on demographic variables (N = 40)
Sr. no. Demographic variables Government school (N = 20) Private school (N = 20)
Frequency % Frequency %
1 Age in years        
   6 years 4 20.0 6 30.0
   7 years 4 20.0 2 10.0
   8 years 4 20.0 6 30.0
   9 years 3 15.0 2 10.0
   10 years 5 25.0 4 20.0
2 Gender        
   Male 9 45.0 12 60.0
   Female 11 55.0 8 40.0
3 Religion        
   Hindu 16 80.0 15 75.0
   Muslim 3 15.0 3 15.0
   Christian 1 5.0 2 10.0
4 Family type        
   Nuclear 19 95.0 20 100.0
   Joint 1 5.0 0 0.0
5 Members in family        
   Two 1 5.0 3 15.0
   Three 9 45.0 7 35.0
   Four 6 30.0 9 45.0
   More than four 4 20.0 1 5.0
6 Education of father        
   Primary 1 5.0 1 5.0
   Secondary 2 10.0 2 10.0
   Matriculation 6 30.0 7 35.0
   PUC 3 15.0 3 15.0
   Diploma 3 15.0 3 15.0
   Graduation 3 15.0 2 10.0
   Postgraduation 2 10.0 2 10.0
7 Education of mother        
   Primary 6 30.0 2 10.0
   Secondary 7 35.0 7 35.0
   Matriculation 1 5.0 1 5.0
   PUC 6 30.0 6 30.0
   Diploma 0 0.0 2 10.0
   Graduation 0 0.0 2 10.0
8 Father occupation        
   Daily wager 2 10.0 2 10.0
   Self-employee 5 25.0 5 25.0
   Private job 7 35.0 6 30.0
   Government employer 1 5.0 3 15.0
   On contract basis 4 20.0 3 15.0
   Others 1 5.0 1 5.0
9 Mother occupation        
   Daily wager 13 65.0 12 60.0
   Self-employee 2 10.0 4 20.0
   Private job 4 20.0 4 20.0
   Government employer 1 5.0 0 0.0
10 Ordinal position in the family        
   First 6 30.0 8 40.0
   Second 13 65.0 7 35.0
   Third 1 5.0 5 25.0
11 Area of residence        
   Rural 14 70.0 14 70.0
   Urban 6 30.0 6 30.0
12 Dietary pattern        
   Vegetarian 0 0.0 3 15.0
   Mixed 20 100.0 17 85.0
13 Source of information        
   Mass media 5 25.0 5 25.0
   Peers/friends 1 5.0 2 10.0
   Family members 0 0.0 3 15.0
   Teachers 14 70.0 10 50.0
PUC, pre university course

Frequency of Dental Caries among School Children

From the above graph, it is evident that out of 40 school children screened, 9 (22.5%) were free from dental caries, and the remaining 31 (77.5%) had dental caries (Fig. 1).

Fig. 1: Frequency-wise distributions of samples based on the occurrence of dental caries

School children’s mean DMFT scores are 2.47 with a standard deviation of 2.184, and their mean DMFS scores are 5.38 with a standard deviation of 6.436 (Table 2).

Table 2: Mean and standard deviation of DMFT and DMFS scores (N = 40)
Descriptive statistics N Minimum Maximum Mean Std. deviation
DMFT scores 40 0 7 2.47 2.184
DMFS scores 40 0 25 5.38 6.436

Boys’ mean DMFT scores are 3.00 with a standard deviation of 0.000, and their mean DMFS scores are 4.00 with a standard deviation of 0.000, with a mean percent of DMFT score of 82.6 and a DMFS score of 45.81. Girls’ mean DMFT scores are 4.56 with a standard deviation of 3.26, while males’ mean DMFS scores are 15.81 with a standard deviation of 12.254. The average DMFT score is 125.6, while the average DMFS score is 181.1. Boys have a mean percent of DMFT scores of 3.63 2.168 (n = 24) while girls have a mean percent of DMFT scores of 4.56 3.265 (n = 16) (Table 3).

Table 3: Gender wise mean% of DMFT and DMFS scores (N = 40)
Gender DMFT scores DMFS scores Mean % DMFT Mean % DMFS
Boys        
 Mean 3.00 4.00 82.6 45.81
N 24 24    
 Standard deviation 0.000 0.000    
Girls        
 Mean 4.56 15.81 125.6 181.1
N 16 16    
 Standard deviation 3.265 12.254    
Overall        
 Mean 3.63 8.73    
N 40 40    
 Standard deviation 2.168 9.597    

Knowledge and Attitude Level of School Children on Dental Caries

In the pre-test, the majority (100%) of school children had inadequate knowledge, whereas in the post-test, 65% of school children had inadequate knowledge and 35% had moderate understanding. In private school pupils, the majority (100%) had poor knowledge in the pre-test, whereas the majority (80%) had moderate knowledge and 10% had deficient knowledge in the post-test (Table 4).

Table 4: Frequency and % allocation of knowledge stage of school children (N = 40)
Sl. no Knowledge level Government school Private school
Pre-test Post-test Pre-test Post-test
f p f p f p f p
1. Inadequate knowledge 20 100.0 13 65.0 20 100.0 2 10.0
2. Moderate knowledge 0 0.0 7 35.0 0 0.0 16 80.0
3. Adequate knowledge 0 0.0 0 0.0 0 0.0 2 10.0
  Total 20 100.0 20 100.0 20 100.0 20 100.0

Samples are distributed based on attitude and school level. In the pre-test, the majority (100%) of students in government schools had an unfavorable attitude, whereas, in the post-test, 75% had an unfavorable attitude and 25% had a moderately positive opinion. In private school students, the majority (100%) had an unfavorable attitude in the pre-test, whereas 55% had an unfavorable attitude in the post-test, and 45% had a moderately positive opinion (Table 5).

Table 5: Frequency and % distribution attitude level of school children (N = 40)
Sl. no. Attitude level Government school Private school
Pre-test Post-test Pre-test Post-test
f p f p f p f p
1. Unfavorable attitude 20 100 15 75.0 20 100 11 55.0
2. Moderately favorable attitude 0 0.0 5 25.0 0 0.0 9 45.0
3. Favorable attitude 0 0.0 0 0.0 0 0.0 0 0.0
  Total 20 100 20 100 20 100 20 100

The mean knowledge score before the exam is 17.8, with a standard deviation of 3.27, while the mean knowledge score after the test is 27.6, with a standard deviation of 4.407. At 0.001 levels, the resulting t-value of 12.76 was significant. The difference between post- and pre-test knowledge of dental decay and its management among school-aged children was statistically significant, indicating that the intervention enhanced their understanding (Table 6).

Table 6: Comparison of the post-test scores with pre-test scores of knowledge regarding dental caries and its management among school children (N = 40)
Paired t-test Mean N Std. deviation Std. error mean t-value df p-value
Pre-knowledge score 17.8 40 3.275 0.518 12.76 39 <0.001*
Post-knowledge score 27.6 40 4.407 0.697

Pre-test attitude scores average 40.83 with a standard deviation of 5.737, while post-test attitude scores average 48.65 with a standard deviation of 5.498. At 0.001 levels, the resulting t-value of 10.492 was significant. The difference in attitude ratings between before and after the intervention among school-aged children on tooth decay and its treatment was statistically significant, indicating that the intervention had changed their attitude (Table 7).

Table 7: Comparison of the post-test scores with pre-test scores of attitude scores regarding dental caries and its management among school children (N = 40)
Paired t-test Mean N Std. deviation Std. error mean t-value df p-value
Pre-attitude score 40.8 40 5.737 0.907 10.49 39 <0.001**
Post-attitude score 48.6 40 5.498 0.869

To find Out the Association between Before-test Awareness and Attitude Scores with Demographic Variables of the Samples

The Chi-square test was used to find out the association among selected socio-demographic variables with pre-test knowledge score of school children. The selected population variables such as age, religion, family type, members in family, education status of the father, occupation of the mother, ordinal position, place of residence, dietary type, and sources show a significant statistical association with their pre-test knowledge levels. The population variables of school children such as age, family type religion, members in family, education status of the father, occupation of the mother, ordinal position, place of residence, dietary type, and sources show a significant statistical association with their pre-test attitude levels.

RECOMMENDATIONS

Based on the results, the following recommendations were framed:

LIMITATIONS OF THE STUDY

ACKNOWLEDGMENTS

The author would like to express her deepest appreciation to the DDPI, Block education officer (BEO), Principal, and Headmasters of various government and private schools of Kolar providing the necessary permissions for the conducting study. I extend my profound sense of gratitude to Dr Shashikala S, Principal, Kolar Gold Field (KGF) College of Dental Science and Hospital, KGF, who allowed me to undergo training in assessing DMFT/DMFS in her institution and valuable suggestions and guidance.

REFERENCES

1. Siddharth Acharya, Anup N, Asif Yousuf, et al. Oral health status of 5 year and 65-74 years old subjects in a ward of Jaipur city. Int J Curr Res 2016;8(01):25416–25420.

2. Peres KG, Nascimento GG, Peres MA, et al. Impact of prolonged breastfeeding on dental caries: A population-based birth cohort study. Pediatrics 2017;140(1):e20162943. DOI: 10.1542/peds.2016.

3. Begzati A, Berisha M, Mrasori S, et al. Early Childhood Caries (ECC) – etiology, clinical consequences and prevention. Creative Commons Attribution License. inTech 2014:31–63. DOI: 10.5772/59416.

4. Anil S, Anand PS. Early childhood caries: Prevalence, risk factors, and prevention. Front Pediatr 2017;5:157. DOI: 10.3389/fped.2017.00157.

5. Congiu G, Campus G, Luglie PF. Early Childhood Caries (ECC) prevalence and background factors: A review. Oral Health Prev Dent 2014;12(1):71–76. DOI: 10.3290/j.ohpd.a31216.

6. Ismail AI, Lim S, Sohn W, et al. Determinants of early childhood caries in low-income African American young children. Pediatr Dent 2008;30(4):289–296. PMID: 18767507.

7. Azizi Z. The prevalence of dental caries in primary dentition in 4 to 5-year-old preschool children in northern Palestine. Int J Dent 2014;2014:839419. DOI: 10.1155/2014/839419.

8. Kowash MB, Alkhabuli JO, Dafaalla SA, et al. Early childhood caries and associated risk factors among preschool children in Ras Al-Khaimah, United Arab Emirates. Eur Arch Paediatr Dent 2017;18(2):97–103. DOI: 10.1007/s40368-017-0278-8.

9. Koya S, Ravichandra KS, Arunkumar VA, et al. Prevalence of early childhood caries in children of west Godavari district, Andhra Pradesh, South India: An epidemiological study. Int J Clin Pediatr Dent 9(3):251–255. DOI: 10.5005/jp-journals-10005-1372.

10. Ramos-Gomez FJ, Weintraub JA, Gansky SA, et al. Bacterial, behavioral and environmental factors associated with early childhood caries. J Clin Pediatr Dent 2002;26(2):165–173. DOI: 10.17796/jcpd.26.2.t6601j3618675326.

________________________
© The Author(s). 2022 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.