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Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study
Asian Indians develop type 2 diabetes mellitus (T2DM) much earlier as compared to White Caucasians, due to unique phenotypic and genetic architecture. Periodontitis in T2DM patients is often a neglected clinical feature. This study was conducted to derive predictor variables for gingival index in mi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816844/ https://www.ncbi.nlm.nih.gov/pubmed/29479293 http://dx.doi.org/10.1155/2018/9081572 |
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author | Karthik, S. Jai Anoop, Shajith Kumar, R. Suresh Rani, M. V. Usha |
author_facet | Karthik, S. Jai Anoop, Shajith Kumar, R. Suresh Rani, M. V. Usha |
author_sort | Karthik, S. Jai |
collection | PubMed |
description | Asian Indians develop type 2 diabetes mellitus (T2DM) much earlier as compared to White Caucasians, due to unique phenotypic and genetic architecture. Periodontitis in T2DM patients is often a neglected clinical feature. This study was conducted to derive predictor variables for gingival index in middle-aged Asian Indians with T2DM in a semiurban population of Dravidian ethnicity from Tamil Nadu, India. T2DM patients (n = 232, mean age: 50.6 ± 10.4 years) with periodontitis (n = 123, mean age: 54.3 ± 2.4 years) and without periodontitis (n = 109, mean age: 55.2 ± 3.1 years) were recruited between 2014 and 2016 by purposive sampling method. Dental examinations for pocket depth (PD) and clinical attachment level (CAL) were performed and gingival index was calculated. Fasting venous blood samples were analysed for measures of glycaemia and cholesterol. Significant positive correlation (p < 0.01) was observed for gingival index with glycosylated haemoglobin (HbA1c), pocket depth, presence of T2DM, and clinical attachment level. Stepwise multiple linear regression analysis derived increased pocket depth (p < 0.01), elevated HbA1c (p < 0.01), clinical attachment level (p < 0.01), and presence of diabetes (p < 0.01) as significant predictors (r (2) value = 0.67) for increased gingival index in middle aged patients with T2DM. These variables significantly (p < 0.01) predispose middle-aged T2DM patients to increased gingival index, thus warranting appropriate intervention. |
format | Online Article Text |
id | pubmed-5816844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-58168442018-02-25 Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study Karthik, S. Jai Anoop, Shajith Kumar, R. Suresh Rani, M. V. Usha ScientificWorldJournal Research Article Asian Indians develop type 2 diabetes mellitus (T2DM) much earlier as compared to White Caucasians, due to unique phenotypic and genetic architecture. Periodontitis in T2DM patients is often a neglected clinical feature. This study was conducted to derive predictor variables for gingival index in middle-aged Asian Indians with T2DM in a semiurban population of Dravidian ethnicity from Tamil Nadu, India. T2DM patients (n = 232, mean age: 50.6 ± 10.4 years) with periodontitis (n = 123, mean age: 54.3 ± 2.4 years) and without periodontitis (n = 109, mean age: 55.2 ± 3.1 years) were recruited between 2014 and 2016 by purposive sampling method. Dental examinations for pocket depth (PD) and clinical attachment level (CAL) were performed and gingival index was calculated. Fasting venous blood samples were analysed for measures of glycaemia and cholesterol. Significant positive correlation (p < 0.01) was observed for gingival index with glycosylated haemoglobin (HbA1c), pocket depth, presence of T2DM, and clinical attachment level. Stepwise multiple linear regression analysis derived increased pocket depth (p < 0.01), elevated HbA1c (p < 0.01), clinical attachment level (p < 0.01), and presence of diabetes (p < 0.01) as significant predictors (r (2) value = 0.67) for increased gingival index in middle aged patients with T2DM. These variables significantly (p < 0.01) predispose middle-aged T2DM patients to increased gingival index, thus warranting appropriate intervention. Hindawi 2018-01-02 /pmc/articles/PMC5816844/ /pubmed/29479293 http://dx.doi.org/10.1155/2018/9081572 Text en Copyright © 2018 S. Jai Karthik et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Karthik, S. Jai Anoop, Shajith Kumar, R. Suresh Rani, M. V. Usha Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title | Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title_full | Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title_fullStr | Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title_full_unstemmed | Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title_short | Predictors for Gingival Index in Middle-Aged Asian Indians with Type 2 Diabetes from South India: A Cross-Sectional Observational Study |
title_sort | predictors for gingival index in middle-aged asian indians with type 2 diabetes from south india: a cross-sectional observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816844/ https://www.ncbi.nlm.nih.gov/pubmed/29479293 http://dx.doi.org/10.1155/2018/9081572 |
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