{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T01:53:57Z","timestamp":1768614837107,"version":"3.49.0"},"reference-count":29,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,10]],"date-time":"2018-05-10T00:00:00Z","timestamp":1525910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>One of the principal conditions that affects oral health worldwide is dental caries, occurring in about 90% of the global population. This pathology has been considered a challenge because of its high prevalence, besides being a chronic but preventable disease which can be caused by a series of different demographic, dietary, among others. Based on this problem, in this research a demographic and dietary features analysis is performed for the classification of subjects according to their oral health status based on caries, according to the age group where the population belongs, using as feature selector a technique based on fast backward selection (FBS) approach for the development of three predictive models, one for each age range (group 1: 10\u201319; group 2: 20\u201359; group 3: 60 or more years old). As validation, a net reclassification improvement (NRI), AUC, ROC, and OR values are used to evaluate their classification accuracy. We analyzed 189 demographic and dietary features from National Health and Nutrition Examination Survey (NHANES) 2013\u20132014. Each model obtained statistically significant results for most features and narrow OR confidence intervals. Age group 2 obtained a mean NRI = \u22120.080 and AUC = 0.933; age group 3 obtained a mean NRI = \u22120.024 and AUC = 0.787; and age group 4 obtained a mean NRI = \u22120.129 and AUC = 0.735. Based on these results, it is concluded that these specific demographic and dietary features are significant determinants for estimating the oral health status in patients based on their likelihood of developing caries, and the age group could imply different risk factors for subjects.<\/jats:p>","DOI":"10.3390\/ijerph15050957","type":"journal-article","created":{"date-parts":[[2018,5,11]],"date-time":"2018-05-11T03:42:48Z","timestamp":1526010168000},"page":"957","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Case\u2013Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013\u20132014"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-8077","authenticated-orcid":false,"given":"Laura A.","family":"Zanella-Calzada","sequence":"first","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-4687","authenticated-orcid":false,"given":"Carlos E.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nubia M.","family":"Ch\u00e1vez-Lamas","sequence":"additional","affiliation":[{"name":"Cl\u00ednica Comunitaria de Tacoaleche, Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ma. del Carmen","family":"Gracia-Cort\u00e9s","sequence":"additional","affiliation":[{"name":"Cl\u00ednica Comunitaria de Tacoaleche, Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arturo","family":"Moreno-B\u00e1ez","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose G.","family":"Arceo-Olague","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6847-3777","authenticated-orcid":false,"given":"Jose M.","family":"Celaya-Padilla","sequence":"additional","affiliation":[{"name":"CONACYT, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge I.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9498-6602","authenticated-orcid":false,"given":"Hamurabi","family":"Gamboa-Rosales","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Zac, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"ref_1","first-page":"44","article-title":"Odontologica ISSN 0120-971X, volumen 26 N. 1 primer semestre de 2013, Streptococcus mutans y caries dental, recibido: febrero de 2013","volume":"26","author":"Salas","year":"2013","journal-title":"Universidad CES"},{"key":"ref_2","first-page":"562","article-title":"Determinantes sociales del estado de salud oral en el contexto actual","volume":"12","year":"2014","journal-title":"MediSur"},{"key":"ref_3","first-page":"20","article-title":"Salud bucodental en escolares de estrato social bajo","volume":"6","author":"Tamez","year":"2017","journal-title":"RESPYN"},{"key":"ref_4","unstructured":"Narv\u00e1ez Ch\u00e1vez, A.M. (2017). Asociaci\u00f3n Entre el Conocimiento de los Padres Sobre Salud Bucal y uso de T\u00e9cnicas Educativas con Relaci\u00f3n a la Presencia de Biofilm y Caries en Infantes. [Master\u2019s Thesis, Universidad Central del Ecuador]."},{"key":"ref_5","first-page":"21","article-title":"Prevalencia y factores pron\u00f3sticos de caries dental en la poblaci\u00f3n de 15 a 19 a\u00f1os","volume":"52","author":"Molina","year":"2015","journal-title":"Rev. Cuba. Estomatol."},{"key":"ref_6","first-page":"53","article-title":"Componente bucal y determinantes sociales en el an\u00e1lisis de la situaci\u00f3n de salud","volume":"52","year":"2015","journal-title":"Rev. Cuba. Estomatol."},{"key":"ref_7","first-page":"62","article-title":"Salud bucal poblacional y su producci\u00f3n intersectorial","volume":"52","year":"2015","journal-title":"Rev. Cuba. Estomatol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"23","DOI":"10.16925\/od.v12i22.1203","article-title":"Higiene bucal en la poblaci\u00f3n de San Francisco Antioquia y sus factores relacionados","volume":"12","author":"Ospina","year":"2016","journal-title":"Rev. Nac. Odontol."},{"key":"ref_9","first-page":"1","article-title":"08-Relaci\u00f3n entre factores de riesgos y caries dental","volume":"19","author":"Escalona","year":"2017","journal-title":"MULTIMED Rev. Med. Granma"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1007\/s12561-014-9118-0","article-title":"The net reclassification index (NRI): A misleading measure of prediction improvement even with independent test data sets","volume":"7","author":"Pepe","year":"2015","journal-title":"Stat. Biosci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1159\/000471811","article-title":"Identification of Caries Risk Determinants in Toddlers: Results of the GUSTO Birth Cohort Study","volume":"51","author":"Lam","year":"2017","journal-title":"Caries Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s40368-017-0286-8","article-title":"Maternal identification of dental caries lesions in their children aged 1\u20133 years","volume":"18","author":"Fernandes","year":"2017","journal-title":"Eur. Arch. Paediatr. Dent."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lips, A., Antunes, L.S., Antunes, L.A., Pintor, A.V.B., Santos, D.A.B.d., Bachinski, R., K\u00fcchler, E.C., and Alves, G.G. (2017). Salivary protein polymorphisms and risk of dental caries: A systematic review. Braz. Oral Res., 31.","DOI":"10.1590\/1807-3107bor-2017.vol31.0041"},{"key":"ref_14","first-page":"202","article-title":"Identification of relationship between oral disorders & hemodynamic parameters","volume":"37","author":"Ahmed","year":"2017","journal-title":"Pak. Oral Dent. J."},{"key":"ref_15","unstructured":"National Center for Health Statistics (NCHS) (2017, November 17). National Health and Nutrition Examination Survey Data, Available online: http:\/\/www.cdc.gov\/nchs\/nhanes.htm."},{"key":"ref_16","unstructured":"R Core Team (2017). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_17","unstructured":"Harrell, F.E. (2017, November 17). rms: Regression Modeling Strategies, R Package Version 5.1-1. Available online: https:\/\/CRAN.R-project.org\/package=rms."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Venables, W.N., and Ripley, B.D. (2002). Modern Applied Statistics with S, Springer. [4th ed.].","DOI":"10.1007\/978-0-387-21706-2"},{"key":"ref_19","unstructured":"Cortez, P. (2017, November 17). rminer: Data Mining Classification and Regression Methods, R Package Version 1.4.2. Available online: https:\/\/CRAN.R-project.org\/package=rminer."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.C., and M\u00fcller, M. (2011). pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform., 12.","DOI":"10.1186\/1471-2105-12-77"},{"key":"ref_21","first-page":"18","article-title":"Classification and Regression by randomForest","volume":"2","author":"Liaw","year":"2002","journal-title":"R News"},{"key":"ref_22","unstructured":"Inoue, E. (2017, November 17). nricens: NRI for Risk Prediction Models with Time to Event and Binary Response Data, R Package Version 1.5. Available online: https:\/\/CRAN.R-project.org\/package=nricens."},{"key":"ref_23","first-page":"105","article-title":"C\u00f3mo obtener un modelo de regresi\u00f3n log\u00edstica binaria con SPSS","volume":"7","year":"2014","journal-title":"REIRE Rev. d\u2019Innov. Recer. Educ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"318","DOI":"10.2307\/2530022","article-title":"Efficient screening of nonnormal regression models","volume":"34","author":"Lawless","year":"1978","journal-title":"Biometrics"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s13253-015-0226-1","article-title":"Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates","volume":"20","author":"Nguyen","year":"2015","journal-title":"J. Agric. Biol. Environ. Stat."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1111\/j.2044-8317.1992.tb00992.x","article-title":"Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables","volume":"45","author":"Derksen","year":"1992","journal-title":"Br. J. Math. Stat. Psychol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.jocd.2017.06.012","article-title":"Fracture Risk Prediction Modeling and Statistics: What Should Clinical Researchers, Journal Reviewers, and Clinicians Know?","volume":"20","author":"Schousboe","year":"2017","journal-title":"J. Clin. Densitom."},{"key":"ref_28","first-page":"227","article-title":"Explaining odds ratios","volume":"19","author":"Szumilas","year":"2010","journal-title":"J. Can. Acad. Child Adolesc. Psychiatry"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1111\/j.1466-8238.2007.00358.x","article-title":"AUC: A misleading measure of the performance of predictive distribution models","volume":"17","author":"Lobo","year":"2008","journal-title":"Glob. Ecol. Biogeogr."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/15\/5\/957\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:04:10Z","timestamp":1760195050000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/15\/5\/957"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,10]]},"references-count":29,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2018,5]]}},"alternative-id":["ijerph15050957"],"URL":"https:\/\/doi.org\/10.3390\/ijerph15050957","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,10]]}}}