Demographic, socioeconomic, and behavioral factors affecting patterns of tooth decay in the permanent dentition: principal components and factor analyses
Identifieur interne : 000505 ( Istex/Curation ); précédent : 000504; suivant : 000506Demographic, socioeconomic, and behavioral factors affecting patterns of tooth decay in the permanent dentition: principal components and factor analyses
Auteurs : John R. Shaffer [États-Unis] ; Deborah E. Polk [États-Unis] ; Eleanor Feingold [États-Unis] ; Xiaojing Wang [États-Unis] ; Karen T. Cuenco [États-Unis] ; Daniel E. Weeks [États-Unis] ; Rebecca S. Desensi [États-Unis] ; Robert J. Weyant [États-Unis] ; Richard Crout [États-Unis] ; Daniel W. Mcneil [États-Unis] ; Mary L. Marazita [États-Unis]Source :
- Community Dentistry and Oral Epidemiology [ 0301-5661 ] ; 2013-08.
Descripteurs français
- Wicri :
- topic : Collecte de données, Médecine dentaire, Santé publique.
English descriptors
- KwdEn :
- Agnostic methods, Behavioral factors, Birth year, Body mass index, Caries, Caries data, Caries experience, Caries outcomes, Caries patterns, Caries prevalences, Caries risk factors, Community dent, Data collection, Data variability, Decay patterns, Dent, Dental caries, Dental caries patterns, Dental decay, Dental medicine, Dentition, Distinct etiologies, Dmfs, Dmfs index, Educational attainment, Environmental risk factors, Epidemiol, Epidemiological studies, Etiology, Facs, Factor analysis, Full data, Global extent, Graduate school, Home water source, Incisor, John wiley sons, Lingual mesial occlusal buccal, Mandibular, Mandibular molars, Maxillary, Molar, Molar surfaces, Occlusal, Oral health, Oral health care, Oral health research, Oral hygiene, Original variables, Permanent dentition, Premolar, Preschool children, Primary dentition, Principal components, Principal components analysis, Public health, Public health dent, Random subsets, Risk factors, Sensitivity analysis, Shaffer, Socioeconomic status, Statistical methods, Strongest patterns, Tooth decay, Tooth surfaces, Uoride, Waist circumference, Wang, West virginia university.
- Teeft :
- Agnostic methods, Behavioral factors, Birth year, Body mass index, Caries, Caries data, Caries experience, Caries outcomes, Caries patterns, Caries prevalences, Caries risk factors, Community dent, Data collection, Data variability, Decay patterns, Dent, Dental caries, Dental caries patterns, Dental decay, Dental medicine, Dentition, Distinct etiologies, Dmfs, Dmfs index, Educational attainment, Environmental risk factors, Epidemiol, Epidemiological studies, Etiology, Facs, Factor analysis, Full data, Global extent, Graduate school, Home water source, Incisor, John wiley sons, Lingual mesial occlusal buccal, Mandibular, Mandibular molars, Maxillary, Molar, Molar surfaces, Occlusal, Oral health, Oral health care, Oral health research, Oral hygiene, Original variables, Permanent dentition, Premolar, Preschool children, Primary dentition, Principal components, Principal components analysis, Public health, Public health dent, Random subsets, Risk factors, Sensitivity analysis, Shaffer, Socioeconomic status, Statistical methods, Strongest patterns, Tooth decay, Tooth surfaces, Uoride, Waist circumference, Wang, West virginia university.
Abstract
Dental caries of the permanent dentition is a multifactorial disease resulting from the complex interplay of endogenous and environmental risk factors. The disease is not easily quantitated due to the innumerable possible combinations of carious lesions across individual tooth surfaces of the permanent dentition. Global measures of decay, such as the DMFS index (which was developed for surveillance applications), may not be optimal for studying the epidemiology of dental caries because they ignore the distinct patterns of decay across the dentition. We hypothesize that specific risk factors may manifest their effects on specific tooth surfaces leading to patterns of decay that can be identified and studied. In this study, we utilized two statistical methods of extracting patterns of decay from surface‐level caries data to create novel phenotypes with which to study the risk factors affecting dental caries.
Url:
DOI: 10.1111/cdoe.12016
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Cuenco</name><affiliation wicri:level="1"><mods:affiliation>Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, PA, Pittsburgh, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, PA, Pittsburgh</wicri:regionArea></affiliation></author><author><name sortKey="Weeks, Daniel E" sort="Weeks, Daniel E" uniqKey="Weeks D" first="Daniel E." last="Weeks">Daniel E. Weeks</name><affiliation wicri:level="1"><mods:affiliation>Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, PA, Pittsburgh, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, PA, Pittsburgh</wicri:regionArea></affiliation></author><author><name sortKey="Desensi, Rebecca S" sort="Desensi, Rebecca S" uniqKey="Desensi R" first="Rebecca S." last="Desensi">Rebecca S. 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Weyant</name><affiliation wicri:level="1"><mods:affiliation>Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, PA, Pittsburgh, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Dental Public Health, School of Dental Medicine, University of Pittsburgh, PA, Pittsburgh</wicri:regionArea></affiliation></author><author><name sortKey="Crout, Richard" sort="Crout, Richard" uniqKey="Crout R" first="Richard" last="Crout">Richard Crout</name><affiliation wicri:level="1"><mods:affiliation>Department of Periodontics, West Virginia University School of Dentistry, WV, Morgantown, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Periodontics, West Virginia University School of Dentistry, WV, Morgantown</wicri:regionArea></affiliation></author><author><name sortKey="Mcneil, Daniel W" sort="Mcneil, Daniel W" uniqKey="Mcneil D" first="Daniel W." last="Mcneil">Daniel W. 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xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Department of Psychiatry, School of Medicine, University of Pittsburgh, PA, Pittsburgh, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychiatry, School of Medicine, University of Pittsburgh, PA, Pittsburgh</wicri:regionArea></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Community Dentistry and Oral Epidemiology</title><title level="j" type="alt">COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY</title><idno type="ISSN">0301-5661</idno><idno type="eISSN">1600-0528</idno><imprint><biblScope unit="vol">41</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="364">364</biblScope><biblScope unit="page" to="373">373</biblScope><biblScope unit="page-count">10</biblScope><date type="published" when="2013-08">2013-08</date></imprint><idno type="ISSN">0301-5661</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0301-5661</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agnostic methods</term><term>Behavioral factors</term><term>Birth year</term><term>Body mass index</term><term>Caries</term><term>Caries data</term><term>Caries experience</term><term>Caries outcomes</term><term>Caries patterns</term><term>Caries prevalences</term><term>Caries risk factors</term><term>Community dent</term><term>Data collection</term><term>Data variability</term><term>Decay patterns</term><term>Dent</term><term>Dental caries</term><term>Dental caries patterns</term><term>Dental decay</term><term>Dental medicine</term><term>Dentition</term><term>Distinct etiologies</term><term>Dmfs</term><term>Dmfs index</term><term>Educational attainment</term><term>Environmental risk factors</term><term>Epidemiol</term><term>Epidemiological studies</term><term>Etiology</term><term>Facs</term><term>Factor analysis</term><term>Full data</term><term>Global extent</term><term>Graduate school</term><term>Home water source</term><term>Incisor</term><term>John wiley sons</term><term>Lingual mesial occlusal buccal</term><term>Mandibular</term><term>Mandibular molars</term><term>Maxillary</term><term>Molar</term><term>Molar surfaces</term><term>Occlusal</term><term>Oral health</term><term>Oral health care</term><term>Oral health research</term><term>Oral hygiene</term><term>Original variables</term><term>Permanent dentition</term><term>Premolar</term><term>Preschool children</term><term>Primary dentition</term><term>Principal components</term><term>Principal components analysis</term><term>Public health</term><term>Public health dent</term><term>Random subsets</term><term>Risk factors</term><term>Sensitivity analysis</term><term>Shaffer</term><term>Socioeconomic status</term><term>Statistical methods</term><term>Strongest patterns</term><term>Tooth decay</term><term>Tooth surfaces</term><term>Uoride</term><term>Waist circumference</term><term>Wang</term><term>West virginia university</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Agnostic methods</term><term>Behavioral factors</term><term>Birth year</term><term>Body mass index</term><term>Caries</term><term>Caries data</term><term>Caries experience</term><term>Caries outcomes</term><term>Caries patterns</term><term>Caries prevalences</term><term>Caries risk factors</term><term>Community dent</term><term>Data collection</term><term>Data variability</term><term>Decay patterns</term><term>Dent</term><term>Dental caries</term><term>Dental caries patterns</term><term>Dental decay</term><term>Dental medicine</term><term>Dentition</term><term>Distinct etiologies</term><term>Dmfs</term><term>Dmfs index</term><term>Educational attainment</term><term>Environmental risk factors</term><term>Epidemiol</term><term>Epidemiological studies</term><term>Etiology</term><term>Facs</term><term>Factor analysis</term><term>Full data</term><term>Global extent</term><term>Graduate school</term><term>Home water source</term><term>Incisor</term><term>John wiley sons</term><term>Lingual mesial occlusal buccal</term><term>Mandibular</term><term>Mandibular molars</term><term>Maxillary</term><term>Molar</term><term>Molar surfaces</term><term>Occlusal</term><term>Oral health</term><term>Oral health care</term><term>Oral health research</term><term>Oral hygiene</term><term>Original variables</term><term>Permanent dentition</term><term>Premolar</term><term>Preschool children</term><term>Primary dentition</term><term>Principal components</term><term>Principal components analysis</term><term>Public health</term><term>Public health dent</term><term>Random subsets</term><term>Risk factors</term><term>Sensitivity analysis</term><term>Shaffer</term><term>Socioeconomic status</term><term>Statistical methods</term><term>Strongest patterns</term><term>Tooth decay</term><term>Tooth surfaces</term><term>Uoride</term><term>Waist circumference</term><term>Wang</term><term>West virginia university</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Collecte de données</term><term>Médecine dentaire</term><term>Santé publique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">Dental caries of the permanent dentition is a multifactorial disease resulting from the complex interplay of endogenous and environmental risk factors. The disease is not easily quantitated due to the innumerable possible combinations of carious lesions across individual tooth surfaces of the permanent dentition. Global measures of decay, such as the DMFS index (which was developed for surveillance applications), may not be optimal for studying the epidemiology of dental caries because they ignore the distinct patterns of decay across the dentition. We hypothesize that specific risk factors may manifest their effects on specific tooth surfaces leading to patterns of decay that can be identified and studied. In this study, we utilized two statistical methods of extracting patterns of decay from surface‐level caries data to create novel phenotypes with which to study the risk factors affecting dental caries.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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