# Predicting Caries Risk in Underserved Children, from Toddlers to the School-Age Years, in Primary Healthcare Settings > **NIH NIH U01** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2021 · $1,548,740 ## Abstract Project Summary/Abstract: Dental caries, one of the most common chronic diseases of childhood, is a largely preventable disease, yet approximately 23% of U.S. children 2-5 years-of-age experience dental caries, and this number more than doubles to 56% among those aged 6-8. In the current environment of escalating healthcare costs and resource constraints, the large disparities in caries experience and access to care that exist in the U.S., especially among low socioeconomic status (SES) and minority population groups, call for a greater focus on targeted (at the patient and tooth surface level), risk-based caries preventive and therapeutic strategies to be delivered through interprofessional partnerships, including primary healthcare settings. Our team has just finished following 1,326 children from age 1 to age 4, and we have started data analyses to validate a caries risk questionnaire for use by medical providers to accurately identify high caries risk toddlers. The problem is that, while caries experience more than doubles from ages 2-5 to 6-8, caries in primary teeth during mixed dentition is a largely neglected area of research and prevention, there is no validated caries risk tool for medical settings to easily help triage 5- 8 year old children, and there have been almost no studies following the life-course progression of caries in children 1-8. This information is critically important, as designing and targeting efficacious and cost-effective preventive therapies that can adapt to changes in the life-course from toddlers to school-age children is dependent on accurate risk factor and tooth surface assessment. Thus, the objectives of this innovative continuation renewal study are: 1) to develop a practical and easily-scored caries risk tool for use in primary medical healthcare settings to identify high caries risk children, expanding from the toddler (1-4) to the school-age years (5-8); and 2) to determine the relationships between caries risk profiles and caries disease patterns (e.g., occlusal vs. proximal) in the mixed dentition. This will be accomplished by following a cohort of 876 primary caregiver (PCG)-child pairs from our ongoing U01's enrolled pairs. This cohort represents a diverse population, including ethnic/racial minorities and low SES groups. The PCG will complete a caries risk questionnaire and the child will have caries examinations at baseline (child's age 5.5 years old + 3 months), and again at 18 months (child's age 7 years + 3 months) and 36 months after baseline (child's age 8.5 years + 3 months) to monitor the caries disease process. Longitudinal caries risk data and caries disease prevalence/incidence and tooth surface pattern information collected from age 1-4 (ongoing U01) and 5-8 (proposed continuing renewal) will be used to assess risk of caries in children ages 5-8. A great strength of this proposal is that it involves four experienced medical and dental investigator groups, who have successfully worked tog... ## Key facts - **NIH application ID:** 10213006 - **Project number:** 5U01DE021412-11 - **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR - **Principal Investigator:** Margherita R Fontana - **Activity code:** U01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2021 - **Award amount:** $1,548,740 - **Award type:** 5 - **Project period:** 2011-09-23 → 2023-03-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10213006 ## Citation > US National Institutes of Health, RePORTER application 10213006, Predicting Caries Risk in Underserved Children, from Toddlers to the School-Age Years, in Primary Healthcare Settings (5U01DE021412-11). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10213006. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*