Associations between periodontal disease and selected risk factors of early complications among youth with type 1 and type 2 diabetes: a pilot study.
Identifieur interne : 000328 ( Main/Exploration ); précédent : 000327; suivant : 000329Associations between periodontal disease and selected risk factors of early complications among youth with type 1 and type 2 diabetes: a pilot study.
Auteurs : Anwar T. Merchant [États-Unis] ; Monica Jethwani ; Youn-Hee Choi ; Elaine H. Morrato ; Angela D. Liese ; Elizabeth Mayer-DavisSource :
- Pediatric diabetes [ 1399-5448 ] ; 2011.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Caroline du Sud (épidémiologie), Complications du diabète (épidémiologie), Diabète de type 1 (complications), Diabète de type 1 (épidémiologie), Diabète de type 2 (complications), Diabète de type 2 (épidémiologie), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Glycémie (métabolisme), Humains (MeSH), Maladies parodontales (épidémiologie), Mâle (MeSH), Peptide C (sang), Projets pilotes (MeSH), Syndrome métabolique X (épidémiologie), Triglycéride (sang), Études transversales (MeSH).
- MESH :
- métabolisme : Diabète de type 1, Diabète de type 2, Glycémie.
- sang : Peptide C, Triglycéride.
- épidémiologie : Caroline du Sud, Complications du diabète, Diabète de type 1, Diabète de type 2, Maladies parodontales, Syndrome métabolique X.
- Adolescent, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Mâle, Projets pilotes, Études transversales.
English descriptors
- KwdEn :
- Adolescent (MeSH), Blood Glucose (metabolism), C-Peptide (blood), Child (MeSH), Child, Preschool (MeSH), Cross-Sectional Studies (MeSH), Diabetes Complications (epidemiology), Diabetes Mellitus, Type 1 (complications), Diabetes Mellitus, Type 1 (epidemiology), Diabetes Mellitus, Type 2 (complications), Diabetes Mellitus, Type 2 (epidemiology), Female (MeSH), Humans (MeSH), Male (MeSH), Metabolic Syndrome (epidemiology), Periodontal Diseases (epidemiology), Pilot Projects (MeSH), Risk Factors (MeSH), South Carolina (epidemiology), Triglycerides (blood).
- MESH :
- chemical , blood : C-Peptide, Triglycerides.
- chemical , metabolism : Blood Glucose.
- complications : Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2.
- epidemiology : Diabetes Complications, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Metabolic Syndrome, Periodontal Diseases, South Carolina.
- Adolescent, Child, Child, Preschool, Cross-Sectional Studies, Female, Humans, Male, Pilot Projects, Risk Factors.
Abstract
BACKGROUND
Most studies evaluating the relation between periodontal disease and diabetes in children have not considered diabetes type.
OBJECTIVE
To evaluate the relationship between periodontal damage and risk factors of diabetes complications among youth by diabetes type in a pilot study.
SUBJECTS
155 participants (126 with type 1 diabetes; 29 with type 2 diabetes) from the SEARCH for Diabetes in Youth study in South Carolina who were <20 yr of age at diagnosis.
METHODS
Cross-sectional analysis of periodontal damage (bone loss ≥3 mm on ≥1 permanent tooth site on pre-existing bitewing radiographs) and diabetes type assigned by the provider at diagnosis.
RESULTS
Periodontal damage was observed in 52 individuals (34%) overall, but was more common in type 2 (16/29, 55%) vs. type 1 diabetes (37/126, 29%). Among youth with type 2 diabetes, those with periodontal damage had lower fasting c-peptide (2.3 vs. 3.4 ng/mL, p-value=0.01), and higher triglyceride levels (171.8 vs. 87.2, p-value=0.01) than those without periodontal damage after adjustment for age, sex, race, education level, family income, duration of diabetes, diabetes control, time between study visit and date of radiograph, tooth brushing, and visits to the dentist. Blood pressure, waist circumference, LDL cholesterol and A1c were not associated with periodontal damage.
CONCLUSIONS
The associations between periodontal disease and risk factors for diabetes complications differ by diabetes type. Periodontal damage is associated with impaired beta cell function and metabolic syndrome components in type 2 but not type 1 diabetes. These findings need to be confirmed in larger, prospective studies.
DOI: 10.1111/j.1399-5448.2010.00736.x
PubMed: 21392193
Affiliations:
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Merchant</name><affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208, USA. merchant@mailbox.sc.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Epidemiology and Biostatistics, Arnold School of Public Health and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208</wicri:regionArea><placeName><region type="state">Caroline du Sud</region><settlement type="city">Columbia (Caroline du Sud)</settlement></placeName><orgName type="university">Université de Caroline du Sud</orgName></affiliation></author><author><name sortKey="Jethwani, Monica" sort="Jethwani, Monica" uniqKey="Jethwani M" first="Monica" last="Jethwani">Monica Jethwani</name></author><author><name sortKey="Choi, Youn Hee" sort="Choi, Youn Hee" uniqKey="Choi Y" first="Youn-Hee" last="Choi">Youn-Hee Choi</name></author><author><name sortKey="Morrato, Elaine H" sort="Morrato, Elaine H" uniqKey="Morrato E" first="Elaine H" last="Morrato">Elaine H. 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Merchant</name><affiliation wicri:level="4"><nlm:affiliation>Department of Epidemiology and Biostatistics, Arnold School of Public Health and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208, USA. merchant@mailbox.sc.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Epidemiology and Biostatistics, Arnold School of Public Health and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC 29208</wicri:regionArea><placeName><region type="state">Caroline du Sud</region><settlement type="city">Columbia (Caroline du Sud)</settlement></placeName><orgName type="university">Université de Caroline du Sud</orgName></affiliation></author><author><name sortKey="Jethwani, Monica" sort="Jethwani, Monica" uniqKey="Jethwani M" first="Monica" last="Jethwani">Monica Jethwani</name></author><author><name sortKey="Choi, Youn Hee" sort="Choi, Youn Hee" uniqKey="Choi Y" first="Youn-Hee" last="Choi">Youn-Hee Choi</name></author><author><name sortKey="Morrato, Elaine H" sort="Morrato, Elaine H" uniqKey="Morrato E" first="Elaine H" last="Morrato">Elaine H. Morrato</name></author><author><name sortKey="Liese, Angela D" sort="Liese, Angela D" uniqKey="Liese A" first="Angela D" last="Liese">Angela D. Liese</name></author><author><name sortKey="Mayer Davis, Elizabeth" sort="Mayer Davis, Elizabeth" uniqKey="Mayer Davis E" first="Elizabeth" last="Mayer-Davis">Elizabeth Mayer-Davis</name></author></analytic><series><title level="j">Pediatric diabetes</title><idno type="eISSN">1399-5448</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Blood Glucose (metabolism)</term><term>C-Peptide (blood)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Cross-Sectional Studies (MeSH)</term><term>Diabetes Complications (epidemiology)</term><term>Diabetes Mellitus, Type 1 (complications)</term><term>Diabetes Mellitus, Type 1 (epidemiology)</term><term>Diabetes Mellitus, Type 2 (complications)</term><term>Diabetes Mellitus, Type 2 (epidemiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Metabolic Syndrome (epidemiology)</term><term>Periodontal Diseases (epidemiology)</term><term>Pilot Projects (MeSH)</term><term>Risk Factors (MeSH)</term><term>South Carolina (epidemiology)</term><term>Triglycerides (blood)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Caroline du Sud (épidémiologie)</term><term>Complications du diabète (épidémiologie)</term><term>Diabète de type 1 (complications)</term><term>Diabète de type 1 (épidémiologie)</term><term>Diabète de type 2 (complications)</term><term>Diabète de type 2 (épidémiologie)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>Glycémie (métabolisme)</term><term>Humains (MeSH)</term><term>Maladies parodontales (épidémiologie)</term><term>Mâle (MeSH)</term><term>Peptide C (sang)</term><term>Projets pilotes (MeSH)</term><term>Syndrome métabolique X (épidémiologie)</term><term>Triglycéride (sang)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>C-Peptide</term><term>Triglycerides</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Blood Glucose</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Diabetes Mellitus, Type 1</term><term>Diabetes Mellitus, Type 2</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Diabetes Complications</term><term>Diabetes Mellitus, Type 1</term><term>Diabetes Mellitus, Type 2</term><term>Metabolic Syndrome</term><term>Periodontal Diseases</term><term>South Carolina</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Diabète de type 1</term><term>Diabète de type 2</term><term>Glycémie</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Peptide C</term><term>Triglycéride</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Caroline du Sud</term><term>Complications du diabète</term><term>Diabète de type 1</term><term>Diabète de type 2</term><term>Maladies parodontales</term><term>Syndrome métabolique X</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Child</term><term>Child, Preschool</term><term>Cross-Sectional Studies</term><term>Female</term><term>Humans</term><term>Male</term><term>Pilot Projects</term><term>Risk Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Projets pilotes</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Most studies evaluating the relation between periodontal disease and diabetes in children have not considered diabetes type.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>To evaluate the relationship between periodontal damage and risk factors of diabetes complications among youth by diabetes type in a pilot study.</p></div><div type="abstract" xml:lang="en"><p><b>SUBJECTS</b></p><p>155 participants (126 with type 1 diabetes; 29 with type 2 diabetes) from the SEARCH for Diabetes in Youth study in South Carolina who were <20 yr of age at diagnosis.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Cross-sectional analysis of periodontal damage (bone loss ≥3 mm on ≥1 permanent tooth site on pre-existing bitewing radiographs) and diabetes type assigned by the provider at diagnosis.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Periodontal damage was observed in 52 individuals (34%) overall, but was more common in type 2 (16/29, 55%) vs. type 1 diabetes (37/126, 29%). Among youth with type 2 diabetes, those with periodontal damage had lower fasting c-peptide (2.3 vs. 3.4 ng/mL, p-value=0.01), and higher triglyceride levels (171.8 vs. 87.2, p-value=0.01) than those without periodontal damage after adjustment for age, sex, race, education level, family income, duration of diabetes, diabetes control, time between study visit and date of radiograph, tooth brushing, and visits to the dentist. Blood pressure, waist circumference, LDL cholesterol and A1c were not associated with periodontal damage.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The associations between periodontal disease and risk factors for diabetes complications differ by diabetes type. Periodontal damage is associated with impaired beta cell function and metabolic syndrome components in type 2 but not type 1 diabetes. These findings need to be confirmed in larger, prospective studies.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21392193</PMID><DateCompleted><Year>2012</Year><Month>01</Month><Day>16</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1399-5448</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>6</Issue><PubDate><Year>2011</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Pediatric diabetes</Title><ISOAbbreviation>Pediatr Diabetes</ISOAbbreviation></Journal><ArticleTitle>Associations between periodontal disease and selected risk factors of early complications among youth with type 1 and type 2 diabetes: a pilot study.</ArticleTitle><Pagination><MedlinePgn>529-35</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1399-5448.2010.00736.x</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Most studies evaluating the relation between periodontal disease and diabetes in children have not considered diabetes type.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To evaluate the relationship between periodontal damage and risk factors of diabetes complications among youth by diabetes type in a pilot study.</AbstractText><AbstractText Label="SUBJECTS" NlmCategory="METHODS">155 participants (126 with type 1 diabetes; 29 with type 2 diabetes) from the SEARCH for Diabetes in Youth study in South Carolina who were <20 yr of age at diagnosis.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Cross-sectional analysis of periodontal damage (bone loss ≥3 mm on ≥1 permanent tooth site on pre-existing bitewing radiographs) and diabetes type assigned by the provider at diagnosis.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Periodontal damage was observed in 52 individuals (34%) overall, but was more common in type 2 (16/29, 55%) vs. type 1 diabetes (37/126, 29%). Among youth with type 2 diabetes, those with periodontal damage had lower fasting c-peptide (2.3 vs. 3.4 ng/mL, p-value=0.01), and higher triglyceride levels (171.8 vs. 87.2, p-value=0.01) than those without periodontal damage after adjustment for age, sex, race, education level, family income, duration of diabetes, diabetes control, time between study visit and date of radiograph, tooth brushing, and visits to the dentist. Blood pressure, waist circumference, LDL cholesterol and A1c were not associated with periodontal damage.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The associations between periodontal disease and risk factors for diabetes complications differ by diabetes type. Periodontal damage is associated with impaired beta cell function and metabolic syndrome components in type 2 but not type 1 diabetes. 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D</ForeName><Initials>AD</Initials></Author><Author ValidYN="Y"><LastName>Mayer-Davis</LastName><ForeName>Elizabeth</ForeName><Initials>E</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>DP-05-069</GrantID><Acronym>DP</Acronym><Agency>NCCDPHP CDC HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>M01 RR01070</GrantID><Acronym>RR</Acronym><Agency>NCRR NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>PA00097</GrantID><Agency>PHS HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DP000244</GrantID><Acronym>DP</Acronym><Agency>NCCDPHP CDC HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DP000250</GrantID><Acronym>DP</Acronym><Agency>NCCDPHP CDC HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DP000254</GrantID><Acronym>DP</Acronym><Agency>NCCDPHP CDC HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013487">Research Support, U.S. Gov't, P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>03</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>Denmark</Country><MedlineTA>Pediatr Diabetes</MedlineTA><NlmUniqueID>100939345</NlmUniqueID><ISSNLinking>1399-543X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D001786">Blood Glucose</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D002096">C-Peptide</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014280">Triglycerides</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001786" MajorTopicYN="N">Blood Glucose</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002096" MajorTopicYN="N">C-Peptide</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D048909" MajorTopicYN="N">Diabetes Complications</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003922" MajorTopicYN="N">Diabetes Mellitus, Type 1</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003924" MajorTopicYN="N">Diabetes Mellitus, Type 2</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D024821" MajorTopicYN="N">Metabolic Syndrome</DescriptorName><QualifierName UI="Q000453" 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sort="Liese, Angela D" uniqKey="Liese A" first="Angela D" last="Liese">Angela D. Liese</name><name sortKey="Mayer Davis, Elizabeth" sort="Mayer Davis, Elizabeth" uniqKey="Mayer Davis E" first="Elizabeth" last="Mayer-Davis">Elizabeth Mayer-Davis</name><name sortKey="Morrato, Elaine H" sort="Morrato, Elaine H" uniqKey="Morrato E" first="Elaine H" last="Morrato">Elaine H. Morrato</name></noCountry><country name="États-Unis"><region name="Caroline du Sud"><name sortKey="Merchant, Anwar T" sort="Merchant, Anwar T" uniqKey="Merchant A" first="Anwar T" last="Merchant">Anwar T. Merchant</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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