alexa A biopsychosocial model to predict caries in preschool children.


Pediatric Dental Care

Author(s): Reisine S, Litt M, Tinanoff N

Abstract Share this page

Abstract The purpose of the study is to assess a multidisciplinary caries-prediction model. Enrolled in the study were 184 low-income children ages 3-5 years old in two Head Start programs in Connecticut. Children were examined by a dentist at baseline and at 1 year for dental caries. Each child also provided a saliva sample to obtain a measure of S. mutans. The children's caregivers completed an interview that assessed oral health behaviors, and cognitive and socioeconomic factors. The prevalence of decay (1 dmfs) increased from 40 to 58\% and the number of dmfs increased significantly from 2.5 (7.1) dmfs to 4.5 (8.8) dmfs (P < 0.001) in 1 year. S. mutans did not change significantly. Discriminant function analysis predicting change in caries in the second year from data obtained in the first year showed that S. mutans, dmfs, and toothbrushing significantly predicted caries risk (canonical correlation = 0.5571; x2 = 51; df = 3; P < 0.001). Children with higher dmfs, higher S. mutans, and whose parents reported more frequent brushing had more decay in the second year. None of the other behavioral, cognitive, or demographic factors was significant. The results emphasize the importance of early intervention in preventing dental caries in an underserved population.
This article was published in Pediatr Dent and referenced in Pediatric Dental Care

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version