Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India

Objectives: To assess the caries risk and contribution of diet, bacteria, circumstances and susceptibility sectors among special groups in comparison to the normal group of Udaipur using the Cariogram model. Materials and Methods: A Cariogram model was used to identify risk factors among 160 su...

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Main Authors: Hemasha Daryani, Ramesh Nagarajappa, Archana J Sharda, Kailash Asawa, Mridula Tak, Sudhanshu Sanadhya, Mehak Batra
Format: Article
Language:English
Published: JCDR Research and Publications Private Limited 2014-01-01
Series:Journal of Clinical and Diagnostic Research
Subjects:
Online Access:https://jcdr.net/articles/PDF/3844/69-6603_E(%20_%20)_F(DK)_PF1(MH)_PFA(H)_PF2(RKH)_(NJH).pdf
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author Hemasha Daryani
Ramesh Nagarajappa
Archana J Sharda
Kailash Asawa
Mridula Tak
Sudhanshu Sanadhya
Mehak Batra
author_facet Hemasha Daryani
Ramesh Nagarajappa
Archana J Sharda
Kailash Asawa
Mridula Tak
Sudhanshu Sanadhya
Mehak Batra
author_sort Hemasha Daryani
collection DOAJ
description Objectives: To assess the caries risk and contribution of diet, bacteria, circumstances and susceptibility sectors among special groups in comparison to the normal group of Udaipur using the Cariogram model. Materials and Methods: A Cariogram model was used to identify risk factors among 160 subjects (40 mentally challenged, 60 visually impaired and 60 normal healthy individuals) aged 7-36 years. Statistical analysis was done using Chi-square/ Fischer’s Exact followed by Marascuilo procedure and Stepwise multiple linear regression. Results: Compared to the normal group (74%), mentally challenged (33%) and visually impaired (41%) groups showed less chances of avoiding future caries. Group (R= 0.660) was found to be strongest predictor for caries risk. Susceptibility sector contributed 61% for caries risk in all the groups. Conclusion: The caries risk was high among special groups compared to normal group. Susceptibility sector illustrated the highest contribution for caries risk in all groups.
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spelling doaj.art-a8fdaf526d9c4e2a93eec427c79cee632022-12-21T20:31:19ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2014-01-018120621010.7860/JCDR/2014/6603.3844Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, IndiaHemasha Daryani0Ramesh Nagarajappa1Archana J Sharda2Kailash Asawa3Mridula Tak4Sudhanshu Sanadhya5Mehak Batra6Post Graduate Students, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Professor and Head, Department of Public Health Dentisty, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Senior Lecturers, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Senior Lecturers, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Senior Lecturers, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Post Graduate Students, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Post Graduate Students, Department of Public Health Dentistry, Pacific Dental College and Hospital, Airport Road, Debari, Udaipur – 313024, Rajasthan, India.Objectives: To assess the caries risk and contribution of diet, bacteria, circumstances and susceptibility sectors among special groups in comparison to the normal group of Udaipur using the Cariogram model. Materials and Methods: A Cariogram model was used to identify risk factors among 160 subjects (40 mentally challenged, 60 visually impaired and 60 normal healthy individuals) aged 7-36 years. Statistical analysis was done using Chi-square/ Fischer’s Exact followed by Marascuilo procedure and Stepwise multiple linear regression. Results: Compared to the normal group (74%), mentally challenged (33%) and visually impaired (41%) groups showed less chances of avoiding future caries. Group (R= 0.660) was found to be strongest predictor for caries risk. Susceptibility sector contributed 61% for caries risk in all the groups. Conclusion: The caries risk was high among special groups compared to normal group. Susceptibility sector illustrated the highest contribution for caries risk in all groups.https://jcdr.net/articles/PDF/3844/69-6603_E(%20_%20)_F(DK)_PF1(MH)_PFA(H)_PF2(RKH)_(NJH).pdfcaries riskcariogrammarascuilovisually impairedmarascuilo procedurestepwise multiple linear regression
spellingShingle Hemasha Daryani
Ramesh Nagarajappa
Archana J Sharda
Kailash Asawa
Mridula Tak
Sudhanshu Sanadhya
Mehak Batra
Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
Journal of Clinical and Diagnostic Research
caries risk
cariogram
marascuilo
visually impaired
marascuilo procedure
stepwise multiple linear regression
title Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
title_full Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
title_fullStr Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
title_full_unstemmed Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
title_short Cariogram Model in Assessment of Dental Caries among Mentally Challenged and Visually Impaired Individuals of Udaipur, India
title_sort cariogram model in assessment of dental caries among mentally challenged and visually impaired individuals of udaipur india
topic caries risk
cariogram
marascuilo
visually impaired
marascuilo procedure
stepwise multiple linear regression
url https://jcdr.net/articles/PDF/3844/69-6603_E(%20_%20)_F(DK)_PF1(MH)_PFA(H)_PF2(RKH)_(NJH).pdf
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