Prevalence of dental caries and Clinical sequel of untreated dental caries evaluated with PUFA index among school going children in the rural Mysuru Taluk, Karnataka
Abstract
In literature real time monitoring of dental caries in rural parts of India are lacking. This warrants periodic prevalence studies to plan and implement oral health programs. So the present study aims at evaluating the dental caries status among rural population in Mysuru Taluk, of Karnataka. A cross-sectional study was conducted among 1800 children with recruited populations at varying age levels of three population groups 4-6, 8-10 and 12-14 years. Data regarding oral health status (DMFT, deft, PUFA, pufa) were collected by type-III clinical examinations. The collected data were administered statistically. In 8-10 years children permanent teeth caries prevalence was found to be 54.3% which increased to 67.8 % in12-14 years. Among 4-6 years children primary teeth caries prevalence was found to be 47.4% which increased to 73.2% in 8-10 years. Among 4-6 and 12-14 years children percentage prevalence of PUFA was 32.2% which increased to 52.3% in 8-10 years. No clinically significant variation was observed in Caries prevalence among gender. The study outcome revealed oral health condition in children of rural Mysuru was neglected. High prevalence of dental caries was observed among Children with low dental care utilization.
Keywords
Rural Mysuru, Dental caries, PUFA Index, Caries Prevalence, Children
Introduction
Dental caries is a biofilm based, diet controlled, multifactorial, non-communicable, active disease resulting in gross mineral loss of dental hard tissues. It is mediated by factors like biological, behavioral, psychosocial, and environmental (Fejerskov, 1997; Pitts & Zero, 2017). Un-treated dental caries with related discomfort will impact quality of life, the cognitive development and growth parameters in young children (Elice & Fields, 1990; Ratnayake & Ekanayake, 2005).
In past 25 years the trends of dental caries in Indian children revealed average pooled caries prevalence of 56.7%, 48.9%, 69.1%, and 52.1% for 2–5, 6–10, and 11–15 year, of age-group, correspondingly. It is also observed that one out of two children in India are affected by dental caries with weighed mean caries experience of 2.3 (Mehta, 2018).
Urban and rural population of India showed a vast difference in health status both General and oral health Rural Indian oral health care facilities are inadequate due to shortage of manpower, financial confines and the lack of perceived need and knowledge among rural population (Gangwar & Idris, 1990; Khera, Tewari, & Chawla, 1984). A critical analyses done on ample dental literature which is available about caries levels in the Indian population showed maximum data have been acquired from the metro cities and cosmopolitan areas. However, there is no appropriate and satisfactory data as yet regarding the dental caries status in the rural areas of India (Saha & Sarkar, 1996). Also in literature a large number of surveys have been conducted reporting the prevalence of dental caries among schoolchildren in India, but the data on severity and clinical sequel of untreated dental caries are relatively unknown.
Lack of real time monitoring of dental caries in rural parts of India warrants an urgent need to assess the prevalence for planning and execution of oral health programs. The present study aims at evaluating the dental caries prevalence among the rural population in Mysuru Taluk, of Karnataka.
Methodology
Ethical clearance
The study protocol was reviewed and approved by the Institutional Research Ethics Committee. After explaining the study procedure permission was obtained from concerned government and school authority. Written informed consent was acquired from the parents of children who participated in the study.
Study design and location
The present study was a cross-sectional survey conducted in Mysuru of south India falling in the survey of India degree sheet Nos. 48P, 57D, 57H and 58A. Mysuru is bound by north latitudes 11045' - 12040' and east longitudes 75059' -77005' covering 6269 Sq. km. The present study was undertaken in 35 villages of Mysuru Taluk.
Study sample
Study sample comprised of consented children (4-6, 8-10 and 12-14 years), free of systemic illness, attending anganwadi centers and government schools along with parents. Schools children were targeted for high, anticipated levels of cooperation and low population mobility. Subjects were selected with a view to recruiting children at varying age levels of three population groups 4-6, 8-10 and 12-14 years. Equal number of subjects between the subject groups with the configuration of recruitment was scrutinized to reduce imbalance between the subject groups.
Sample and Sampling Technique
Based on literature search Caries Prevalence of rural India shows the caries prevalence of 40 to 80% in rural India (Chatufale & Goyal, 2002; Gangwar et al., 1990; Khera et al., 1984; Saha et al., 1996). The sample size was calculated based on the prevalence rate of dental caries to be 60% with 4% type I error and 90% power of the study the sample size was estimated to be 576 children which were rounded off to 600 in each age group. As we had recruited populations at varying age levels of three population groups 4-6, 8-10 and 12-14 years total sample size will be 1800 child along with parent.
Clinical examination
Children were examined in the school sites with the students seated. Natural day light was used for illumination. Oral clinical examination was accomplished by three trained and calibrated pediatric dentists. Caries was analyzed as per the criteria established by the World Health Organization (World Health Organization, 1997) using a mouth mirror and a community periodontal index (CPI) probe. Caries was recorded for both permanent and primary teeth in terms of decayed, missing and filled teeth index (DMFT and dmft), as per World Health Organization recommendations for oral health surveys (1997) (World Health Organization, 1997) and untreated caries was assessed using PUFA/pufa index according to the standard procedure protocol recommended by Monse and Heinrich-Weltzien (2010).
Age in years |
Gender |
Total |
||
---|---|---|---|---|
Male |
Female |
|||
4-6 |
N |
300 |
300 |
600 |
% |
50.0% |
50.0% |
100.0% |
|
% of Total |
16.7% |
16.7% |
33.3% |
|
8-10 |
N |
302 |
298 |
600 |
% |
50.3% |
49.7% |
100.0% |
|
% of Total |
16.8% |
16.6% |
33.3% |
|
12-14 |
N |
282 |
318 |
600 |
% |
47.0% |
53.0% |
100.0% |
|
% of Total |
15.7% |
17.7% |
33.3% |
|
Total |
N |
884 |
916 |
1800 |
% |
49.1% |
50.9% |
100.0% |
|
% of Total |
49.1% |
50.9% |
100.0% |
Pearson Chi-Square-1.618, p-0.445
Education |
N |
% |
---|---|---|
Primary (1-IX) |
1102 |
61.2 |
Secondary(X) |
410 |
22.8 |
Higher secondary(XII) |
288 |
16.0 |
Graduate |
0 |
0 |
Postgraduate and higher |
0 |
0 |
Total |
1800 |
100.0 |
Occupation |
N |
% |
White collar |
0 |
0 |
Pink collar |
381 |
21.2 |
Blue collar |
1419 |
78.8 |
Total |
1800 |
100.0 |
Socioeconomic Status |
N |
% |
BPL card holder |
1075 |
59.7 |
Non-BPL card holder |
725 |
40.3 |
Total |
1800 |
100.0 |
Age in years |
Permanent Teeth Decay Component |
Total |
|||||||
---|---|---|---|---|---|---|---|---|---|
0 |
2.00 |
3.00 |
4.00 |
6.00 |
7.00 |
8.00 |
|||
4 to 6 |
N |
599 |
1 |
0 |
0 |
0 |
0 |
0 |
600 |
% |
99.8% |
0.2% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
100.0% |
|
8 to 10 |
N |
274 |
127 |
85 |
94 |
0 |
20 |
0 |
600 |
% |
45.7% |
21.2% |
14.2% |
15.7% |
0.0% |
3.3% |
0.0% |
100.0% |
|
12 to 14 |
N |
193 |
88 |
108 |
143 |
12 |
50 |
6 |
600 |
% |
32.2% |
14.7% |
18.0% |
23.8% |
2.0% |
8.3% |
1.0% |
100.0% |
|
Total |
N |
1066 |
216 |
193 |
237 |
12 |
70 |
6 |
1800 |
% |
59.2% |
12.0% |
10.7% |
13.2% |
0.7% |
3.9% |
0.3% |
100.0% |
|
Gender |
Permanent Decay Component |
Total |
|||||||
0 |
2.00 |
3.00 |
4.00 |
6.00 |
7.00 |
8.00 |
|||
Male |
N |
527 |
110 |
101 |
105 |
8 |
31 |
2 |
884 |
% |
59.6% |
12.4% |
11.4% |
11.9% |
0.9% |
3.5% |
0.2% |
100.0% |
|
Female |
N |
539 |
106 |
92 |
132 |
4 |
39 |
4 |
916 |
% |
58.8% |
11.6% |
10.0% |
14.4% |
0.4% |
4.3% |
0.4% |
100.0% |
|
Total |
N |
1066 |
216 |
193 |
237 |
12 |
70 |
6 |
1800 |
% |
59.2% |
12.0% |
10.7% |
13.2% |
0.7% |
3.9% |
0.3% |
100.0% |
Age - Pearson Chi-Square- 704.604, p-0.001 Gender - Pearson Chi-Square-6.052, p-0.417
Permanent teeth |
Primary teeth |
|||
---|---|---|---|---|
Age in years |
Mean |
SD |
Mean |
SD |
4 to 6 |
0.03 |
0.08 |
1.30 |
2.06 |
8 to 10 |
1.71 |
1.83 |
2.99 |
2.66 |
12 to 14 |
2.57 |
2.21 |
0.05 |
0.23 |
Permanent teeth |
Primary teeth |
|||
Gender |
Mean |
SD |
Mean |
SD |
Male |
1.38 |
1.92 |
1.38 |
2.27 |
Female |
1.47 |
2.01 |
1.50 |
2.30 |
Age in years |
Primary Teeth Decay Component |
Total |
|||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 |
1.00 |
2.00 |
3.00 |
4.00 |
5.00 |
6.00 |
7.00 |
8.00 |
9.00 |
10.00 |
11.00 |
12.00 |
|||
4 to 6 |
N |
316 |
87 |
135 |
1 |
1 |
4 |
5 |
46 |
4 |
0 |
1 |
0 |
0 |
600 |
% |
52.7 |
14.5 |
22.5 |
0.2 |
0.2 |
0.7 |
0.8 |
7.7 |
0.7 |
0.0 |
0.2 |
0.0 |
0.0 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
8 to 10 |
N |
161 |
57 |
77 |
59 |
81 |
44 |
49 |
33 |
27 |
4 |
5 |
2 |
1 |
600 |
% |
26.8 |
9.5 |
12.8 |
9.8 |
13.5 |
7.3 |
8.2 |
5.5 |
4.5 |
0.7 |
0.8 |
0.3 |
0.2 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
12 to 14 |
N |
574 |
24 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
600 |
% |
95.7 |
4.0 |
0.3 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
Total |
N |
1051 |
168 |
214 |
60 |
82 |
48 |
54 |
79 |
31 |
4 |
6 |
2 |
1 |
1800 |
% |
58.4 |
9.3 |
11.9 |
3.3 |
4.6 |
2.7 |
3.0 |
4.4 |
1.7 |
0.2 |
0.3 |
0.1 |
0.1 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
Gender |
Primary Teeth Decay Component |
|
|
|
|
|
|
Total |
|||||||
0 |
1.00 |
2.00 |
3.00 |
4.00 |
5.00 |
6.00 |
7.00 |
8.00 |
9.00 |
10.00 |
11.00 |
12.00 |
|||
Male |
N |
511 |
112 |
91 |
37 |
32 |
24 |
24 |
22 |
21 |
2 |
5 |
2 |
1 |
884 |
% |
57.8 |
12.7 |
10.3 |
4.2 |
3.6 |
2.7 |
2.7 |
2.5 |
2.4 |
0.2 |
0.6 |
0.2 |
0.1 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
Female |
N |
540 |
56 |
123 |
23 |
50 |
24 |
30 |
57 |
10 |
2 |
1 |
0 |
0 |
916 |
% |
59.0 |
6.1 |
13.4 |
2.5 |
5.5 |
2.6 |
3.3 |
6.2 |
1.1 |
0.2 |
0.1 |
0.0 |
0.0 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
|||
Total |
N |
1051 |
168 |
214 |
60 |
82 |
48 |
54 |
79 |
31 |
4 |
6 |
2 |
1 |
1800 |
% |
58.4 |
9.3 |
11.9 |
3.3 |
4.6 |
2.7 |
3.0 |
4.4 |
1.7 |
0.2 |
0.3 |
0.1 |
0.1 |
100.0% |
|
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
% |
Age Pearson Chi-Square- 940.370, p-0.001 Gender Pearson Chi-Square- 56.662, p-0.001
Age in years |
PUFA |
Total |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
.00 |
1.00 |
2.00 |
3.00 |
4.00 |
5.00 |
6.00 |
7.00 |
8.00 |
10.00 |
12.00 |
|||
4 to 6 |
N |
407 |
87 |
46 |
1 |
2 |
2 |
6 |
45 |
3 |
1 |
0 |
600 |
% |
67.8% |
14.5% |
7.7% |
0.2% |
0.3% |
0.3% |
1.0% |
7.5% |
0.5% |
0.2% |
0.0% |
100.0% |
|
8 to 10 |
N |
286 |
56 |
28 |
49 |
113 |
36 |
17 |
4 |
8 |
1 |
2 |
600 |
% |
47.7% |
9.3% |
4.7% |
8.2% |
18.8% |
6.0% |
2.8% |
0.7% |
1.3% |
0.2% |
0.3% |
100.0% |
|
12 to 14 |
N |
407 |
58 |
12 |
34 |
59 |
13 |
9 |
3 |
5 |
0 |
0 |
600 |
% |
67.8% |
9.7% |
2.0% |
5.7% |
9.8% |
2.2% |
1.5% |
0.5% |
0.8% |
0.0% |
0.0% |
100.0% |
|
Total |
N |
1100 |
201 |
86 |
84 |
174 |
51 |
32 |
52 |
16 |
2 |
2 |
1800 |
% |
61.1% |
11.2% |
4.8% |
4.7% |
9.7% |
2.8% |
1.8% |
2.9% |
0.9% |
0.1% |
0.1% |
100.0% |
|
Gender |
PUFA |
|
|
|
|
Total |
|||||||
.00 |
1.00 |
2.00 |
3.00 |
4.00 |
5.00 |
6.00 |
7.00 |
8.00 |
10.00 |
12.00 |
|||
Male |
N |
564 |
87 |
47 |
40 |
89 |
32 |
16 |
4 |
5 |
0 |
0 |
884 |
% |
63.8% |
9.8% |
5.3% |
4.5% |
10.1% |
3.6% |
1.8% |
0.5% |
0.6% |
0.0% |
0.0% |
100.0% |
|
Female |
N |
536 |
114 |
39 |
44 |
85 |
19 |
16 |
48 |
11 |
2 |
2 |
916 |
% |
58.5% |
12.4% |
4.3% |
4.8% |
9.3% |
2.1% |
1.7% |
5.2% |
1.2% |
0.2% |
0.2% |
100.0% |
|
Total |
N |
1100 |
201 |
86 |
84 |
174 |
51 |
32 |
52 |
16 |
2 |
2 |
1800 |
% |
61.1% |
11.2% |
4.8% |
4.7% |
9.7% |
2.8% |
1.8% |
2.9% |
0.9% |
0.1% |
0.1% |
100.0% |
Age Pearson Chi-Square- 320.222, p-0.001 Gender Pearson Chi-Square- 51.608, p-0.001
Age in years |
N |
Mean |
SD |
F |
P |
---|---|---|---|---|---|
4 to 6 |
600 |
0.98 |
2.04 |
37.86 |
0.001 |
8 to 10 |
600 |
1.87 |
2.21 |
||
12 to 14 |
600 |
1.00 |
1.77 |
||
Total |
1800 |
1.28 |
2.06 |
Gender |
N |
Mean |
SD |
MD |
t |
P |
---|---|---|---|---|---|---|
Male |
884 |
1.1097 |
1.80045 |
0.34 |
-3.458 |
0.001 |
Female |
916 |
1.4443 |
2.26886 |
Training and calibration of examiners
Before the actual survey, all the examiners participated in clinical calibration training workout. Following this 180 school children were inspected by each of the three examiners to assess inter-examiner reliability. The inter-examiner calibration for caries experience between 1 and 2, 2 and 3 and 1 and 3 resulted in Kappa values of 0.82 (P < 0.001), 0.88 (P < 0.001) and 0.81 (P < 0.001), respectively. Intra-examiner reproducibility was evaluated by reassessing 10% of the samples. There was good agreement amongst the examinations by the same examiner.
Statistical analysis
The data were entered in EXCEL and analysed using SPSS Version 23. Data was presented using, calculated mean values and standard deviations to express the dmft/DMFT values. Data analysis was performed using the chi-square test to find the association of the prevalence of dental caries with gender and age.
Results
Distribution of study subjects according to age and sex was presented in Table 1. Equal number of subjects between the subject groups with the pattern of enrollment was scrutinized to reduce imbalance between the subject groups. Of 1800 children examined 49.1% were male and 50.9% were females.
Socio demographic variables of parents of children examined showed 61.2% were with primary, 22.8% were with secondary and 16% were with higher secondary education levels. 78.8% parents were with blue collar jobs. Evaluated socioeconomic status showed 59.7% parents were having BPL card and classified as below poverty line and 40.3% parents without BPL card and classified under lower middle class (Table 2).
In 8-10 years children permanent teeth caries prevalence was found to be 54.3% which increased to 67.8 % in12-14 years. This percentage increase of caries prevalence observed across the age was found statistically significant (p-0.001). Among 8-10 years Mean DMF was 1.71 which increased to 2.57 among 12-14 years. Permanent teeth caries prevalence among boys was 40.4% and in girls was 41.2%. The variation observed between the genders was found to be statistically non-significant. Among boys Mean DMF was 1.38 and among girls it was 1.47 (Table 4; Table 3).
Among 4-6 years children primary teeth caries prevalence was found to be 47.4% which increased to 73.2% in 8-10 years. This percentage increase of caries prevalence observed across the age was found statistically significant (p-0.001). Among 4-6 years Mean def was 1.30 which increased to 2.99 among 8-10 years. Primary teeth caries prevalence among boys was 42.2% and in girls was 41%. The variation observed between the genders was found to be statistically non-significant. Among boys Mean def was 1.38 and among girls it was 1.50 (Table 5; Table 4).
Among 4-6 and 12-14 years children percentage prevalence of PUFA+ pufa was 32.2% which increased to 52.3% in 8-10 years. The percentage increase observed in PUFA across the age was found to be statistically significant. Prevalence of PUFA+pufa to Gender showed 36.2% PUFA prevalence in male children and 41.5% PUFA prevalence in female children. The difference observed in prevalence of PUFA across the gender was found to be statistically significant (Table 6).
Mean PUFA in children showed a mean of 0.98 among 4-6 years, 1.87 among 8-10 years and 1.00 in 12-14 old. This variation across the age group was found to be statistically significant (p=0.001). (Table 7) Mean PUFA in boys was 1.10 and 1.44 in girls. The difference observed across gender was found statistically significant (p=0.001) (Table 8).
Discussion
The present study was carried out among school going children in the age group between 4–14 years, due to ease of accessibility. It gave us a comprehensive picture of dental caries in primary, mixed, and permanent dentition. Another reason for the inclusion of such a wide age range was that caries in the primary dentition is a robust interpreter of caries in the permanent dentition and a strong indicator of the forthcoming disease. Twelve year being an important WHO index age group and also the global monitoring age for caries assessment in children was included to facilitate comparison with other published research (Gaikwad & Indurkar, 1993; Rao, Sequeira, & Peter, 1999; Shetty & Tandon, 1988).
Present study results showed 47.4% of Primary teeth caries prevalence in 4-6 years. Study by Gaikwad et al. (1993); Kundu and Patthi (2015); Sohi and Gambir (2012) reported almost similar prevalence in their studies (Gupta & Momin, 2015; Saravanan & Madivanan, 2005).
Karunakaran and Somasundaram (2014); Mehta and Bhalla (2014); Sudha, Bhasin, and Anegundi (2005) reported a higher prevalence ranging between 65 to 90% in their studies.
Present study results showed among 8-10 years old children prevalence of caries increased to 73.2%. Studies by Dash, Sahoo, and Sk (2002); Kumar, Grewal, and Verma (2009); Singhal and Singla (2018) reported similar findings as ours. However studies by Rao et al. (1999) and Sudha et al. (2005) reported a higher prevalence of 82% in their studies. In contrary Dhar and Jain (2007) reported a lower prevalence of 49% among 8-10 years old children.
Present study results showed at 4-6 and 12-14 years 32.2% children were having one or more PUFA in oral cavity. At 8-10 years the prevalence of PUFA increased to 52.3%. Mehta et al. (2014) reported similar PUFA prevalence in 4-6year old children however Sekhar, Dutt, and Boddeda (2015) reported 53% in 4-6 years and 41% I 12-14 years. Singhal et al. (2018) reported 47.3% PUFA prevalence among 8-10 years. Murthy, Pramila, and Ranganath (2014); Singhal et al. (2018) reported very less 18-19% PUFA prevalence in their studies contrast to present study results of 32.2%.
Present study results showed that no statistically significant variation in the caries prevalence amongst the gender in all three age groups. Shetty et al. (1988) found similar results. In conflicting Vacher, Aukland and Bjelkaroey (1982); Gaikwad et al. (1993); Vacher (1952) reported a higher caries experience among boys than in girls. Conflicting, girls were found to have higher caries prevalence by Mishra and Shee (1979); Saimbi and Mehrotra (1983); Singh, Kaur, and Kapila (1985).
Owing to lack of awareness, motivation, accessibility, dental neglect and/or unaffordability of dental care, (Chopra, Vacher, & Taneja, 1983) present study results showed that nearly 80-90 percent of children in rural Mysore had untreated caries. The call for preventive care was found to be higher after 9yrs of age and it increased as the age advanced.
Hence we recommend for the given population a constant monitoring for prevalence of oral diseases, at regular intervals to recognize the burden and spread of the disease, and ascertain the need of preventive and restorative care to help the population to be disease free (Gauba, Tewari, & Chawla, 1986).
As most of the parents of rural school children were employed as daily wage workers or migrant laborers and may not find time to visit the dentist as that would lead to loss of a day's earnings, on site fluoride and pit fissure sealant application program can be initiated by utilizing the services of mobile dental van for the specific protection of high-risk patients. Suggested systematic oral health promotion program for Rural India is, recruiting teachers as initial information propagators for educating and motivating the school going children as teachers have a great impact on their developing minds and act as role models. Oral health professionals can train and up-skill the Teachers for early detection of oral diseases helping to initiate rapid intervention by early referral (Damle & Patel, 1994). Also the putting into practice of community-based oral health program is a matter of urgency. One such program could be commenced through oral health promoting school schemes in Rural Mysore while identifying the significant caries risk factors in children.
Conclusion
In 8-10 years children permanent teeth caries prevalence was found to be 54.3% which increased to 67.8 % in12-14 years. Among 4-6 years children primary teeth caries prevalence was found to be 47.4% which increased to 73.2% in 8-10 years. Among 4-6 and 12-14 years children percentage prevalence of PUFA was 32.2% which increased to 52.3% in 8-10 years. No clinically significant variation was observed in Caries prevalence among gender.