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Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach

CONTEXT: Given the uneven distribution of dental caries, there is an exigent need for a database of dental caries and its spatial distribution for better planning and efficient delivery of health promotional and preventive programs. Geo-mapping is a helpful tool for policy makers/administrators for...

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Autores principales: Pandey, Pragya, Singh, Manish K., Singh, Diksha, Gupta, Sarika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565141/
https://www.ncbi.nlm.nih.gov/pubmed/34760731
http://dx.doi.org/10.4103/jfmpc.jfmpc_358_21
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author Pandey, Pragya
Singh, Manish K.
Singh, Diksha
Gupta, Sarika
author_facet Pandey, Pragya
Singh, Manish K.
Singh, Diksha
Gupta, Sarika
author_sort Pandey, Pragya
collection PubMed
description CONTEXT: Given the uneven distribution of dental caries, there is an exigent need for a database of dental caries and its spatial distribution for better planning and efficient delivery of health promotional and preventive programs. Geo-mapping is a helpful tool for policy makers/administrators for efficient allocation of limited resources. AIMS: To geo-map spatial distribution of caries risk in preschoolers of Lucknow and to identify associated predisposing factors. SETTINGS AND DESIGN: A cross-sectional study was done among 1000 preschool children (3-5 years of age) attending pediatrics, outpatient department at a medical college in Lucknow, Uttar Pradesh. METHODS AND MATERIAL: Children were enrolled using the systematic random sampling. Each child was geo-coded with respect to his/her residence, clinically examined for dental caries and given a Decayed Missing Filled Tooth (DMFT) index score. A pre-tested questionnaire was used to collect socio-demographic data. Caries prevalence was geo-mapped using color codes. STATISTICAL ANALYSIS USED: Median DMFT scores were compared using Mann-Whitney and Kruskal-Wallis test. QQ plot/Shapiro-Wilk's test was used to check the normality of data. RESULTS: Prevalence of caries was found to be 76%. 10% children had DMFT score of 4 and more. A significant difference in distribution of DMFT score was observed for gender, income levels and between wards. Wards closer to the center of Lucknow district had a higher prevalence of caries. CONCLUSIONS: Geo-mapping of caries prevalence gives a quick visual glance of specific areas vulnerable to caries and help deliver specific tailor-made services.
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spelling pubmed-85651412021-11-09 Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach Pandey, Pragya Singh, Manish K. Singh, Diksha Gupta, Sarika J Family Med Prim Care Original Article CONTEXT: Given the uneven distribution of dental caries, there is an exigent need for a database of dental caries and its spatial distribution for better planning and efficient delivery of health promotional and preventive programs. Geo-mapping is a helpful tool for policy makers/administrators for efficient allocation of limited resources. AIMS: To geo-map spatial distribution of caries risk in preschoolers of Lucknow and to identify associated predisposing factors. SETTINGS AND DESIGN: A cross-sectional study was done among 1000 preschool children (3-5 years of age) attending pediatrics, outpatient department at a medical college in Lucknow, Uttar Pradesh. METHODS AND MATERIAL: Children were enrolled using the systematic random sampling. Each child was geo-coded with respect to his/her residence, clinically examined for dental caries and given a Decayed Missing Filled Tooth (DMFT) index score. A pre-tested questionnaire was used to collect socio-demographic data. Caries prevalence was geo-mapped using color codes. STATISTICAL ANALYSIS USED: Median DMFT scores were compared using Mann-Whitney and Kruskal-Wallis test. QQ plot/Shapiro-Wilk's test was used to check the normality of data. RESULTS: Prevalence of caries was found to be 76%. 10% children had DMFT score of 4 and more. A significant difference in distribution of DMFT score was observed for gender, income levels and between wards. Wards closer to the center of Lucknow district had a higher prevalence of caries. CONCLUSIONS: Geo-mapping of caries prevalence gives a quick visual glance of specific areas vulnerable to caries and help deliver specific tailor-made services. Wolters Kluwer - Medknow 2021-09 2021-09-30 /pmc/articles/PMC8565141/ /pubmed/34760731 http://dx.doi.org/10.4103/jfmpc.jfmpc_358_21 Text en Copyright: © 2021 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Pandey, Pragya
Singh, Manish K.
Singh, Diksha
Gupta, Sarika
Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title_full Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title_fullStr Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title_full_unstemmed Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title_short Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach
title_sort geo-mapping of early childhood caries risk: a community oriented preventive oral health promotional approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565141/
https://www.ncbi.nlm.nih.gov/pubmed/34760731
http://dx.doi.org/10.4103/jfmpc.jfmpc_358_21
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