ArticleBMC oral health2021
Epidemiological profile of early childhood caries in a sub-urban population in Nigeria.
Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Prevalence of dental caries in the primary, mixed and permanent dentitions in Nigeria: A systematic review and meta-analysis.PloS one · 2026Pooled it
- Prevalence of Early Childhood Caries in Africa: A Systematic Review.International journal of paediatric dentistry · 2026Pooled it
- Parental socioeconomic and perceptual determinants of early childhood caries amongst Myanmar preschool children.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Article
- TREND OF EARLY CHILDHOOD CARIES IN A TERTIARY HEALTH INSTITUTION: A 7-YEAR RETROSPECTIVE STUDY.Annals of Ibadan postgraduate medicine · 2026Article
- Association between dental caries and sociodemographic factors in children aged 5-12 years.Acta odontologica latinoamericana : AOL · 2025Article
- Dietary diversity and food groups associated with early childhood caries in a suburban community in Nigeria.BMC oral health · 2025Article
- Oral health knowledge and practices of women with children who are internally displaced, refugees, and migrants in Nigeria: a cross-sectional study.BMC oral health · 2025Article
- Associations between the use of caries preventive methods and ECC experience in Ile-Ife, Nigeria: a cross-sectional study.BMC oral health · 2025Article
- Risk indicators for dental caries among preschoolers, school children/adolescents and adults in Nigeria: a scoping review.BMC oral health · 2025Article
- Association between early childhood caries and parental educational status among children in Ile-Ife, Nigeria.Frontiers in oral health · 2025Article
- Linking ABO blood group with angle's classification and malocclusion severity in orthodontic patients: A cross-sectional study.Bioinformation · 2025Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodsThis 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
resultsThe 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.
conclusionThe 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.