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Geo-Mapping of Early Childhood Caries Risk: A Community Oriented Preventive Oral Health Promotional Approach.
Pandey, Pragya; Singh, Manish K; Singh, Diksha; Gupta, Sarika.
Afiliación
  • Pandey P; Department of Conservative Dentistry and Endodontics, KGMU, Lucknow, Uttar Pradesh, India.
  • Singh MK; Department of Community Medicine, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
  • Singh D; Department of Oral Pathology and Microbiology, KGMU, Lucknow, Uttar Pradesh, India.
  • Gupta S; Department of Pediatrics, KGMU, Lucknow, Uttar Pradesh, India.
J Family Med Prim Care ; 10(9): 3205-3210, 2021 Sep.
Article en En | MEDLINE | ID: mdl-34760731
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Family Med Prim Care Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Family Med Prim Care Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: India