2014, Number 2
<< Back Next >>
Rev ADM 2014; 71 (2)
Predictive potential of a reduced Cariogram model in college students at the Zaragoza Faculty of Higher Studies (FES).
de la Cruz CD, Serralde VM, Cervantes SA, Pinelo BP
Language: Spanish
References: 21
Page: 72-76
PDF size: 153.71 Kb.
ABSTRACT
Background: Tooth decay is one of the most common diseases in humans. Knowing the factors involved in the development of dental caries in any given population represents an area of opportunity to establish treatment regimens to modify the variables that influence the overall oral health status of that population. For this reason, various programs have been designed to determine the risk of an individual developing caries. The cariogram is one of the most useful and comprehensive tools for preventing caries.
Objective: To observe the functioning of a reduced cariogram model in a fluoridated area, one that can offer us the same predictive power as the full model but with the advantage of being more flexible and economical.
Material and methods: We performed a cross-sectional study of 30 randomly selected college students aged between 18 and 21 years. Salivary tests were performed, the DMFT Index and PI calculated, and a questionnaire on eating habits was applied to structure the variables that make up the cariogram and so enable us to predict the risk that each individual has of developing caries in the future. We then compared the results against a reduced model and assessed its predictive potential.
Results: We found that 66% of the students had a low to very low risk of developing caries in the next 12 months. 34% of them had a moderate to high risk. A comparison of the results of both cariogram models showed a significance of greater than 0.05 in each.
Conclusions: The predictive potential of the cariogram is the same in both models when applied in a fluoridated area.
REFERENCES
Medina-Solis C, Maupomé G, Avila-Burgos L, Pérez-Núñez R, Pelcastre-Villafuerte B, Pontigo-Loyola A. Políticas de salud bucal en México: Disminuir las principales enfermedades. Una descripción. Rev Biomed. 2006 [Internet]; 17 (4) [Acceso 12 de agosto de 2013]: 269-286. Disponible en: http://www.uady.mx/sitios/biomedic/revbiomed/pdf/rb061745.pdf
Santander GV. Caries dental y determinantes de salud en alumnos de primer ingreso de la FES Zaragoza. [Tesis de Licenciatura]. UNAM FES Zaragoza. 2013. En prensa.
Aguilera GLA, Sánchez RCG, Neri RCA, Aceves MMC. Streptococcus mutans en saliva y su relación con caries dental: en una población infantil de la comunidad de Tacoaleche Guadalupe, Zacatecas. Rev ADM. 2009; 66 (6): 48-56.
Campus G, Cagetti MG, Sacco G, Benedetti G, Strohmenger L, Lingström P. Caries risk profiles in Sardinian schoolchildren using Cariogram. Acta Odontol Scand. 2009; 67: 146-152.
Hugoson A, Hellqvist L, Rolandsson M, Birkhed D. Dental caries in relation to smoking and the use of Swedish snus: epidemiological studies covering 20 years (1983-2003). Acta Odontol Scand. 2012; 70: 289-296.
Aguilera GL, Padilla MA, Frausto ES, Aceves MM, Muños EJ, Aceves FA et al. Uso del Cariograma en la determinación de niveles de riesgo de caries dental en escolares de una población urbana de Zacatecas, México. Rev Ciencia Odont. 2005; 2 (1): 47-62.
Fernández GC, Núñez FL, Días SN. Determinantes de salud oral en población de 12 años. Rev Clin Periodoncia Implantol Rehabil Oral. 2011; 4 (3): 117-121.
Demers M, Brodeur JM, Mouton C, Simard PL, Trahan L, Veilleux G. A multivariate model to predict caries increment in Montreal children aged 5 years. Community Dent Health. 1992; 9 (3): 273-281.
Petersson GH, Isberg PE, Twetman S. Caries risk assessment in school children using a reduced Cariogram model without saliva test. BMC Oral Health. 2010 [Acceso: 20 de agosto de 2012]; 10: 5. Disponible en: http://www.biomedcentral.com/1472-6831/10/5
Bratthall D, Petersson GH, Stjernswärd JR. Cariogram [Manual Internet Version 2.01, April 2, 2004]. Disponible en: http://www.mah.se/fakulteter-och-omraden/Odontologiska fakulteten/Avdelning-och-kansli/Cariologi/Cariogram/.
Miravet RA, Montiel JM, Almerich SJ. Evaluation of caries risk in a young adult population. Med Oral Patol Oral Cir Bucal. 2007; 12: E412-418.
Seif T et al. Cariología: prevención, diagnóstico y tratamiento contemporáneo de la caries dental. Actualidades Médico Odontológicas Latinoamérica. 1997; 2: 35-57.
Johansson AK, Jorkjend L, Marthinussen MC, Johansson A. A comparison of two clinical methods for measuring saliva in patients with Sjögren’s syndrome. Acta Odontol Scand. 2012; 70: 251-254.
Glantz PO, Natiella JR, Vaughan CD, Meyer AE, Baier RE. Structural studies of human saliva. Acta Odontol Scand. 1989; 47 (1): 17-24.
Keller MK, Hasslöf P, Stecksén-Blicks C, Twetman S. Co-aggregation and growth inhibition of probiotic lactobacilli and clinical isolates of streptococci mutans: An in vitro study. Acta Odontol Scand. 2011; 69: 263-268.
Pérez QJA, Duque de Estrada RJ, Hidalgo GFI. Asociación del Estreptococos mutans y lactobacilos con la caries dental en niños. Rev Cubana Estomatol [revista Internet]. 2007; 44(4) [acceso 20 de septiembre de 2012]. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0034-75072007000400002&lng=es
Sarić B, Hasanagić M. Risk factors for caries: control and prevention. Med Glas. 2008; 5 (2): 109-114.
Pearce EI, Dong YM, Yue L, Gao XJ, Purdie GL, Wang JD. Plaque minerals in the prediction of caries activity. Community Dent Oral Epidemiol. 2002; 30: 61-69.
Lafuente PJ, Gómez PMFJ, Aguirre B, Zabala GJ, Irurzun ZE, Gorritxo GB. Estilos de vida determinantes de la salud oral en adolescentes de Vitoria-Gasteiz: evaluación. Aten Primaria. 2002; 29 (4): 213-217.
Rao A, Malhorta N. The role of remineralizing agents in dentistry: a review. Compend Contin Educ Dent. 2011; 32 (6): 26-36.
Lee JH, Son HH, Kim HY, Chang J. Caries risk profile of Korean dental patients using simplifield Cariograms model. Acta Odontol Scand. 2013; 71: 899-905.