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Epidemiological profile of early childhood caries in a sub-urban population in Nigeria

BACKGROUND: The aim of the study was to determine the prevalence and severity of early childhood caries (ECC) in children 6–71-months; identify the teeth most at risk for ECC; and identify risk indicators associated with significant caries index (SiC) score in different age groups. METHODS: This was...

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Autores principales: Folayan, Morenike Oluwatoyin, Oginni, Ayodeji Babatunde, El Tantawi, Maha, Finlayson, Tracy L., Adeniyi, Abiola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383461/
https://www.ncbi.nlm.nih.gov/pubmed/34425793
http://dx.doi.org/10.1186/s12903-021-01780-0
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author Folayan, Morenike Oluwatoyin
Oginni, Ayodeji Babatunde
El Tantawi, Maha
Finlayson, Tracy L.
Adeniyi, Abiola
author_facet Folayan, Morenike Oluwatoyin
Oginni, Ayodeji Babatunde
El Tantawi, Maha
Finlayson, Tracy L.
Adeniyi, Abiola
author_sort Folayan, Morenike Oluwatoyin
collection PubMed
description BACKGROUND: The aim of the study was to determine the prevalence and severity of early childhood caries (ECC) in children 6–71-months; identify the teeth most at risk for ECC; and identify risk indicators associated with significant caries index (SiC) score in different age groups. METHODS: This was a cross-sectional study that collected data (using a household survey) on the ECC risk indicators (frequency of tooth brushing, consumption of refined carbohydrate in-between-meals, daily use of fluoridated toothpaste, and dental service utilization in the 12 months) in Ile-Ife, Nigeria. We computed the prevalence of ECC using the International Caries Detection and Assessment System (ICDASI (d(1–6))) index; caries severity using the ICDAS-2(d(1–2)) and ICDAS-3(d(3–6)) for non-cavitated and cavitated lesions respectively, decayed missing, filled teeth (dmft), and surfaces (dmfs) and SiC indices; and caries complications using the pulp (p), ulceration (u), fistula (f) and abscesses (a) (pufa) index, for children 6–11-months-old, 12–23-months-old, 23–35-months-old, 35–47-months-old; 48–59-months-old and 60–71-months-old. The differences in the mean dmft, dmfs, pufa scores, and ICDAS 1, 2, and 3 scores, and proportion of children with each ECC risk indicator were computed. Logistic regression analysis was conducted to identify risk indicators for the ECC SiC index score for each age group. RESULTS: The prevalence of ECC was 4.7%: 2.9% had non-cavitated lesions and 2.8% had cavitated lesions. The mean (SD) dmft, dmfs and pufa scores were 0.13 (0.92), 0.24 (1.91) and 0.04 (0.46) respectively. The dmft and dmfs scores were highest among the 24–35-months-olds while the SiC score was highest among the 12–23-months-olds. There were no significant differences in dmft, dmfs, and pufa scores between the different age groups. Toothbrushing more than once a day was the only factor associated with the SiC score: it decreases the odds for the SiC score in children 48–59-months-old. The teeth worst affected by ECC were #85 and #61. CONCLUSION: The prevalence, severity and risk indicator for ECC seems to differ for each age group. The granular details on the risk profile of children with ECC in this population with a low ECC prevalence and burden can allow for the planning of age-targeted interventions.
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spelling pubmed-83834612021-08-25 Epidemiological profile of early childhood caries in a sub-urban population in Nigeria Folayan, Morenike Oluwatoyin Oginni, Ayodeji Babatunde El Tantawi, Maha Finlayson, Tracy L. Adeniyi, Abiola BMC Oral Health Research BACKGROUND: The aim of the study was to determine the prevalence and severity of early childhood caries (ECC) in children 6–71-months; identify the teeth most at risk for ECC; and identify risk indicators associated with significant caries index (SiC) score in different age groups. METHODS: This was a cross-sectional study that collected data (using a household survey) on the ECC risk indicators (frequency of tooth brushing, consumption of refined carbohydrate in-between-meals, daily use of fluoridated toothpaste, and dental service utilization in the 12 months) in Ile-Ife, Nigeria. We computed the prevalence of ECC using the International Caries Detection and Assessment System (ICDASI (d(1–6))) index; caries severity using the ICDAS-2(d(1–2)) and ICDAS-3(d(3–6)) for non-cavitated and cavitated lesions respectively, decayed missing, filled teeth (dmft), and surfaces (dmfs) and SiC indices; and caries complications using the pulp (p), ulceration (u), fistula (f) and abscesses (a) (pufa) index, for children 6–11-months-old, 12–23-months-old, 23–35-months-old, 35–47-months-old; 48–59-months-old and 60–71-months-old. The differences in the mean dmft, dmfs, pufa scores, and ICDAS 1, 2, and 3 scores, and proportion of children with each ECC risk indicator were computed. Logistic regression analysis was conducted to identify risk indicators for the ECC SiC index score for each age group. RESULTS: The prevalence of ECC was 4.7%: 2.9% had non-cavitated lesions and 2.8% had cavitated lesions. The mean (SD) dmft, dmfs and pufa scores were 0.13 (0.92), 0.24 (1.91) and 0.04 (0.46) respectively. The dmft and dmfs scores were highest among the 24–35-months-olds while the SiC score was highest among the 12–23-months-olds. There were no significant differences in dmft, dmfs, and pufa scores between the different age groups. Toothbrushing more than once a day was the only factor associated with the SiC score: it decreases the odds for the SiC score in children 48–59-months-old. The teeth worst affected by ECC were #85 and #61. CONCLUSION: The prevalence, severity and risk indicator for ECC seems to differ for each age group. The granular details on the risk profile of children with ECC in this population with a low ECC prevalence and burden can allow for the planning of age-targeted interventions. BioMed Central 2021-08-23 /pmc/articles/PMC8383461/ /pubmed/34425793 http://dx.doi.org/10.1186/s12903-021-01780-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Folayan, Morenike Oluwatoyin
Oginni, Ayodeji Babatunde
El Tantawi, Maha
Finlayson, Tracy L.
Adeniyi, Abiola
Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title_full Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title_fullStr Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title_full_unstemmed Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title_short Epidemiological profile of early childhood caries in a sub-urban population in Nigeria
title_sort epidemiological profile of early childhood caries in a sub-urban population in nigeria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383461/
https://www.ncbi.nlm.nih.gov/pubmed/34425793
http://dx.doi.org/10.1186/s12903-021-01780-0
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