The severity of periodontitis and metabolic syndrome in Korean population: The Dong-gu study-Reference-Cited by-同舟云学术

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The severity of periodontitis and metabolic syndrome in Korean population: The Dong-gu study

Published:2017-12-10 Issue:3 Volume:53 Page:362-368
ISSN:0022-3484
Container-title:Journal of Periodontal Research
language:en
Short-container-title:J Periodont Res

Author:

Kim O. S.¹^ORCID,Shin M. H.²,Kweon S. S.²³,Lee Y. H.⁴,Kim O. J.⁵,Kim Y. J.¹,Chung H. J.¹

Affiliation:

1. Department of Periodontology; School of Dentistry; Dental Science Research Institute; Chonnam National University; Gwangju Korea

2. Department of Preventive Medicine; Chonnam National University Medical School; Gwangju Korea

3. Jeonnam Regional Cancer Center; Chonnam National University Hwasun Hospital; Hwasun Korea

4. Department of Preventive Medicine & Institute of Wonkwang Medical Science; Wonkwang University School of Medicine; Iksan Korea

5. Department of Oral Pathology; School of Dentistry; Dental Science Research Institute; Chonnam National University; Gwangju Korea

Publisher

Wiley

Subject

Periodontics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jre.12521/fullpdf

Reference27 articles.

1. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus;Wilson;Circulation,2005

2. Persistent increase of prevalence of metabolic syndrome among U.S. adults: NHANES III to NHANES 1999-2006;Mozumdar;Diabetes Care,2011

3. Associations between metabolic syndrome and inadequate sleep duration and skipping breakfast;Kim;Korean J Fam Med,2015

4. Improving the oral health of older people: the approach of the WHO Global Oral Health Programme;Petersen;Community Dent Oral Epidemiol,2005

5. Prospective association of periodontal disease with cardiovascular and all-cause mortality: NHANES III follow-up study;Xu;Atherosclerosis,2011

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3. Association between metabolic syndrome, type 2 diabetes mellitus, and periodontal pathology: a systematic review;Parodontologiya;2024-06-26

4. Predicting risk indicators for periodontitis in a Korean population: Machine learning algorithms approach (Preprint);2024-06-25

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