Maternal identification of dental caries lesions in their children aged 1–3 years

Fernandes, Izabella Barbosa; Sá-Pinto, Ana Clara; Marques, Leandro Silva; Ramos‐Jorge, Joana; Ramos-Jorge, Maria Letícia

doi:10.1007/s40368-017-0286-8

Cited by 12 publications

(9 citation statements)

References 24 publications

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“…This study also suggests barriers to lack of early dental visits are predominantly related to poor oral health literacy. As early dental carious lesions present with subtle clinical signs and mild symptoms, non‐clinicians will find them difficult to detect and parents may under‐estimate dental disease 17 . By the time symptoms manifest or cavitation is evident, and parents become aware of dental problems, the window of opportunity for prevention may be greatly diminished.…”

Section: Discussionmentioning

confidence: 99%

Dental visits in early life: patterns and barriers among Australian children

Trinh

Rhodes

Measey

et al. 2022

Australian and New Zealand Journal of Public Health

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Objectives: To determine the early dental service utilisation patterns among Australian children and investigate barriers to care. Method: Randomly selected adults aged 18 years and older who were parents or caregivers of children under 18 years of age completed an online nationally representative cross‐sectional survey which was then analysed using descriptive statistics. Results: A total 2,048 parents of 3,660 children, including 1,179 aged between one and six years, completed the survey. Utilisation of professional dental care was low among children under six years of age, with just 118 (27.3%) at one year of age having ever received professional dental care. The most frequently reported reasons for lack of professional dental care were that the child was too young, their teeth were healthy or that the child would be scared. Cost was the fourth most frequently reported reason in young children. Only 459 (22.4%) parents knew that the first dental visit should be at one year of age or earlier. Conclusions: Parents are unaware that children should have their first dental visit at 12 months, and therefore most children miss out on essential early health promotion. Implications for public health: As many parents are unaware of the importance of early dental visits, integrating and strengthening oral health promotion screening and referral within broader early childhood health services is essential.

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Section: Discussionmentioning

confidence: 99%

Dental visits in early life: patterns and barriers among Australian children

Trinh

Rhodes

Measey

et al. 2022

Australian and New Zealand Journal of Public Health

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“…Studies differed in their grouping of caries scores. For example, nine different caries surfaces measures and seven caries teeth measures were identified in this review. Some studies grouped them to classify caries as dentin and enamel lesions while others classified them as initial/early, moderate/established and severe/extensive lesions .…”

Section: Discussionmentioning

confidence: 99%

Caries reporting in studies that used the International Caries Detection and Assessment System: A scoping review

ElSalhy

Ali

Lai

et al. 2018

Comm Dent Oral Epid

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Objective To explore how caries was reported in studies that employed the International Caries Detection and Assessment System (ICDAS). Methods A systematic database search up to August 2017 was carried out using PubMed, Ovid MEDLINE, Cochrane library and ISI Web of Science electronic databases. Only studies that used the ICDAS for dental caries examinations were included. Studies were excluded if the examination was done only for the validation or the calibration of the ICDAS and/or if the examination was not done for the whole dentition. Measures used to report caries were considered. Results A total of 126 papers met the inclusion criteria. Forty‐four different synthesis measures were used to report caries. Most of the studies used a combination of multiple measures to report patient's caries level. These reporting measures cluster into four main groups: the number of individual ICDAS scores (ie, total counts of every score); the number of decayed surfaces/teeth (ie, total counts of combined caries scores for surfaces or teeth); measures of caries experience (ie, total counts of combined caries scores, filled and/or missing surfaces or teeth); and measures of central tendency and dispersion. The number of decayed surfaces and individual ICDAS scores were the most commonly used measures. Three studies used mean ICDAS score (ie, total ICDAS scores divided by the number of teeth), two used mean ICDAS score of carious teeth (ie, total ICDAS scores divided by the number of carious teeth) and two used the maximum ICDAS score (ie, highest ICDAS score recorded). The total ICDAS score was used only once. Many studies synthesized from the ICDAS the number of decayed, missing and filled teeth/surfaces (dmft/DMFT, dmfs/DMFS) as a measure of caries experience. Conclusions There are variations among studies in the utilization of the system to summarize caries. Most studies presented caries data using the categorical characteristics of the ICDAS.

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“…Lam et al [ 7 ] found that dental visits, brushing frequency, lower parental perceived importance of baby teeth, and weaning onto solids are determinants associated with plaque accumulation, validating these results specifically in children. In the work of Fernandes et al [ 8 ], a cross-sectional study of 274 children and their mothers based on demographic/socio-economic status is presented; through a Poisson regression approach, an analysis was performed, obtaining that dental caries can be mainly found in mothers of children aged 1, demonstrating the relationship between demographic/socio-economic status and caries.…”

Section: Introductionmentioning

confidence: 99%

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014

et al. 2018

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Oral health represents an essential component in the quality of life of people, being a determinant factor in general health since it may affect the risk of suffering other conditions, such as chronic diseases. Oral diseases have become one of the main public health problems, where dental caries is the condition that most affects oral health worldwide, occurring in about 90% of the global population. This condition has been considered a challenge because of its high prevalence, besides being a chronic but preventable disease which can be caused depending on the consumption of certain nutritional elements interacting simultaneously with different factors, such as socioeconomic factors. Based on this problem, an analysis of a set of 189 dietary and demographic determinants is performed in this work, in order to find the relationship between these factors and the oral situation of a set of subjects. The oral situation refers to the presence and absence/restorations of caries. The methodology is performed constructing a dense artificial neural network (ANN), as a computer-aided diagnosis tool, looking for a generalized model that allows for classifying subjects. As validation, the classification model was evaluated through a statistical analysis based on a cross validation, calculating the accuracy, loss function, receiving operating characteristic (ROC) curve and area under the curve (AUC) parameters. The results obtained were statistically significant, obtaining an accuracy ≃ 0.69 and AUC values of 0.69 and 0.75. Based on these results, it is possible to conclude that the classification model developed through the deep ANN is able to classify subjects with absence of caries from subjects with presence or restorations with high accuracy, according to their demographic and dietary factors.

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Maternal identification of dental caries lesions in their children aged 1–3 years

Abstract: Mothers of children aged 1 year old identified dental caries at initial and established/severe stages. Mothers of children aged 2 and 3 years identified dental caries only at established/severe stages.

Cited by 12 publications

References 24 publications

Dental visits in early life: patterns and barriers among Australian children

Dental visits in early life: patterns and barriers among Australian children

Caries reporting in studies that used the International Caries Detection and Assessment System: A scoping review

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014

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